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Volume 17 Supplement 9

Proceedings of the 3rd International Genomic Medicine Conference: genomics

  • Review
  • Open Access

Spontaneous preterm birth and single nucleotide gene polymorphisms: a recent update

  • 1,
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  • 1Email author and
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BMC Genomics201617 (Suppl 9) :759

https://doi.org/10.1186/s12864-016-3089-0

©  The Author(s). 2016

  • Published:

Abstract

Background

Preterm birth (PTB), birth at <37 weeks of gestation, is a significant global public health problem. World-wide, about 15 million babies are born preterm each year resulting in more than a million deaths of children. Preterm neonates are more prone to problems and need intensive care hospitalization. Health issues may persist through early adulthood and even be carried on to the next generation. Majority (70 %) of PTBs are spontaneous with about a half without any apparent cause and the other half associated with a number of risk factors. Genetic factors are one of the significant risks for PTB. The focus of this review is on single nucleotide gene polymorphisms (SNPs) that are reported to be associated with PTB.

Results

A comprehensive evaluation of studies on SNPs known to confer potential risk of PTB was done by performing a targeted PubMed search for the years 2007–2015 and systematically reviewing all relevant studies. Evaluation of 92 studies identified 119 candidate genes with SNPs that had potential association with PTB. The genes were associated with functions of a wide spectrum of tissue and cell types such as endocrine, tissue remodeling, vascular, metabolic, and immune and inflammatory systems.

Conclusions

A number of potential functional candidate gene variants have been reported that predispose women for PTB. Understanding the complex genomic landscape of PTB needs high-throughput genome sequencing methods such as whole-exome sequencing and whole-genome sequencing approaches that will significantly enhance the understanding of PTB. Identification of high risk women, avoidance of possible risk factors, and provision of personalized health care are important to manage PTB.

Keyword

  • Preterm birth
  • Genes
  • Single nucleotide polymorphism (SNP)

Background

Preterm birth (PTB) is defined by the World Health Organization (WHO) as the birth of a baby before the completion of 37 weeks of gestation [1]. Global estimates for 2012 have revealed PTB to be one of the two top causes of child mortality second only to pneumonia and accounting for more than a million deaths each year [2, 3]. PTB is a worldwide significant clinical and public health problem. Data based on 2010 national estimates of 184 countries has shown 11 % (range 5–18 %) prevalence of PTB resulting in 15 million preterm babies [4]. Majority of PTBs (60 %) occur in Africa and South Asia, however, rich and industrially advanced countries also share the problem with a prevalence of about 6–7 %. Among the rich nations, the United States has the highest (10 %) prevalence. Recent data [4] for top 10 countries with highest number of PTBs (Table 1) and with highest rates of PTB per 100 live births (Table 2) are shown. In addition to the short term or immediate implications during the first month of neonatal life, PTB has long term lifelong consequences for the premature babies, their families, and for the overall population. Global Burden of Disease estimates show that PTB accounts for 3.1 % of all Disability Adjusted Life Years, more than that for HIV and malaria [5, 6]. Preterm neonates are many times more prone to problems including low blood sugar, jaundice, sepsis, pulmonary dysfunction, ophthalmological disorders, and long-term neurocognitive deficits [7, 8]. The frequent need for intensive care hospitalizations is associated with enormous emotional and financial burden. Estimates for the United States show that preterm-related death constitutes about 35 % of all infant deaths and preterm complications cost more than $26 billion (may even be $50 billion according to other estimates that include long term costs) to the U.S. health services [9]. Recent studies have found PTB infants to be at a long term disadvantage and even at increased risk of mortality during early adult years [10]. Not only were the PTB infants more likely to die in early childhood but also were more prone to mortality at 18–36 years of age due to cardiovascular, endocrine, and respiratory problems [10]. Even late preterm babies born at 34–36 weeks gestation were at higher risk compared to the term birth babies (37–42 weeks). The repercussions of PTB can even be felt in the subsequent generations as PTB individuals are less likely to reproduce [11]. Women who were born preterm have increased chances of having PTB thus continuing the vicious cycle of neonatal mortality and morbidity.
Table 1

Top 10 countries with greatest number of preterm birth (PTB) in 2010a

Name of the country

Number of PTBs (% of global total)

Preterm birth rate (% of livebirths in the country)

India

3519100 (23.6)

13.0

China

1172300 (7.8)

7.1

Nigeria

773600 (5.2)

12.2

Pakistan

748100 (5.0)

15.8

Indonesia

675700 (4.5)

15.5

The United States of America

517400 (3.5)

12.0

Bangladesh

424100 (2.8)

14.0

The Philippines

348900 (2.3)

14.9

The Democratic republic of Congo

341400 (2.3)

11.9

Brazil

279300 (1.9)

9.2

aAdapted from [4]

Table 2

The 10 countries with the highest rates of preterm birth (PTB) per 100 live births in 2010a

Name of the country

Number of PTB per 100 live births

Malawi

18.1

Comoros

16.7

Congo

16.7

Zimbabwe

16.6

Equatorial Guinea

16.5

Mozambique

16.4

Gabon

16.3

Pakistan

15.8

Indonesia

15.5

Mauritania

15.4

aAdapted from [4]

According to the severity of the shortened gestation, PTBs are subdivided into extremely preterm (less than 28 weeks) constituting about 5 % preterm births, severe or very preterm (28–31 weeks) constituting about 15 %, moderate preterm (32–33 weeks) constituting about 20 % while the majority (60 to 70 %) are late preterm or near term births (34–36 weeks) [4, 8]. A representative distribution of PTBs for singleton pregnancies in the United States for 2013 is presented in Table 3 (as an example of a country with complete birth record information). Of all the preterm births, about 70 % are spontaneous PTBs including 45 % that occur as a result of preterm labor and additional 25–30 % that occur as a result of preterm premature rupture of membranes (PPROM). The remaining about 30 % preterm births are due to an obstetrician’s decision to induce preterm delivery of the baby because of adverse and deteriorating uterine environment [8].
Table 3

Distribution of preterm births (PTB) for singleton pregnancies in the United States for the year 2013a

PTB Category

Gestation age (weeks)

Incidence in USA 2013

Percentage of PTB

Extremely preterm

<28

0.58

5.9

Severe or very preterm

28–31

0.96

9.9

Moderately preterm

32–33

1.18

12.2

Late preterm or near term

34–36

6.99

72.0

aAdapted from United States National Vital Statistics Reports 2015 [132]

In view of the importance and urgency of the problem of PTB, the Institute of Medicine (IOM) [9] under the aegis of the National Research Council of the United States convened the Committee on “Understanding Premature Birth and Assuring Healthy Outcomes” in 2007. The goals of the committee were to address the up-to-date status of science and clinical research of PTB, asses the health and financial impact of the problem of the PTB, and suggest a framework of recommendations to prevent and minimize the debilitating burden of the problem. The deliberations of the committee resulted in an exhaustive report on the PTB in 2007 [9] with up-to-date review of literature, assessment and recommendations. In addition to this exhaustive report there have been several reviews on the problem of PTB [2, 4, 12, 13] published recently. The number of studies on genetic polymorphism in relation to PTB has dramatically multiplied since the IOM report. However, the information about these genetic polymorphisms is dispersed and not available on a single platform. The purpose of the current review was to discuss and tabulate all recent studies on genetic polymorphisms associated with potential risk for PTB that have been published since the IOM report of 2007. A comprehensive literature search was done on preterm birth and SNPs in PubMed (www.ncbi.nlm.nih.gov/pubmed/). The terms used for searching the database were: preterm birth, PTB, premature birth, preterm premature rupture of membranes, PPROM, premature rupture of membranes, PROM, pregnancy outcome, single nucleotide polymorphism, SNP, gene variants, gene polymorphism, and genomics of preterm birth. The search was restricted to years 2007 to 2015 and search terms were used in combination to maximize the retrieval of relevant articles and for exclusion of unrelated literature. The reference lists of the included research articles were further scanned for identification of additional topic-relevant research articles. The initial search resulted in identification of about 300 journal articles. The titles of these articles were preliminarily scanned for relevance to the topic of preterm birth and genomics. Irrelevant articles, case reports, and editorials were excluded. Finally, 92 journal articles on association of preterm birth and single nucleotide polymorphisms were deemed relevant and included in this review.

Risk factors associated with PTB

Many factors have been attributed to increase the risk of PTB. These factors have been reviewed in several reports previously [8, 9, 12, 13]. The risk factors can be broadly grouped into following major categories with a brief introduction for each category and are illustrated in Fig. 1.
Fig. 1
Fig. 1

Risk factors associated with preterm birth

Behavioral and sociodemographic factors

This category represents most of the maternal demographic risk factors including socio-economic status, race, age, marital status and educational level. Women belonging to African ethnicity have a higher risk of PTB. Women with low socio-economic status, lower age, lower educational level, or are unmarried have higher risk of PTB. Social behaviors such as smoking, drinking, illicit drug use, and other risky social activities also increase the predilection for PTB. Nutritional deficiencies such as vitamin D, folic acid, and iron deficiency as well as low prenatal body weight or obesity are risk indicators for PTB. Women who suffer from anxiety, depression or have stressful work environment are also at increased risk of PTB. Physical or sexual abuse or inadequate social support also puts pregnant women at the risk of PTB. More information on behavioral and sociodemographic factors is available in recent reviews [8, 9, 12, 13].

Medical and pregnancy conditions

Multiple gestations, previous history of PTB, or short inter-pregnancy interval are risk factors for PTB. About 40 % twin pregnancies have gestation length of less than 37 weeks and almost all of the higher multiple gestations end in PTB. A prior history of PTB increase the risk of next delivery by 2.5 folds. Uterine distension or vaginal bleeding are also risk factors for the PTB. Medical disorders such as hypertension, diabetes, and thyroid problems in pregnant women also increase the risk for PTB. Cervical shortening or cervical insufficiency due to trauma or malformations also increase the risk of PTB. Medical and pregnancy conditions predisposing for PTB have recently been reviewed in detail [8, 9, 12, 13].

Genetic factors

It has been increasingly evident that genetic factors play a significant role in the etiology of PTB. Preterm birth has tendency for familial aggregation. Women who were born preterm have higher risk of PTB; furthermore, the risk of PTB increases by 80 % in women with sisters who have experienced PTB. Studies on interracial couples have shown that women married to men of African American ethnicity have higher prevalence of PTB. Several studies have been done on the genetic association of single nucleotide polymorphisms (SNPs) in candidate genes to predict their association with PTB. The focus of this review is the exhaustive list of genetic studies that have been reported since 2007 and these will be discussed in detail later in the paper. For details about genetic studies before 2007, several reviews are available [8, 9, 12].

Environmental factors

Ever-increasing environmental pollutants and xenobiotics are turning out to be additional important factors for PTB. For example, bisphenol A, a plastic based environmental pollutant has recently emerged as a risk factor for PTB. Air pollution either by itself or through interaction of particulate matter with genetic polymorphisms has also been reported to be a risk for PTB. Sulphur dioxide air pollution is another environmental factor that has been associated with PTB. Living in the vicinity of coal burning power plants in Croatia was reported to increase the incidence of the PTB. Women living in the vicinity of petroleum and petrochemical industries and ship building industries in China also experienced increased incidence of PTB. Several studies have been done on agricultural pesticides and herbicides and some of them have shown to increase the incidence of PTB with others remaining equivocal. With increasing use of computers and computer related products, and the associated accumulation of waste pollutants in the environment, the need is to be on the side of caution as their effects on the outcome of pregnancy remain largely unknown/unpredictable. The association of environmental factors with PTB has been reviewed in detail [9].

Biological pathways

Common biological pathways that play important role in the pathogenesis of PTB are infections and inflammation, maternal-fetal hypothalamopituitary adrenal activation, decidual defects, and pathological uterine overdistension. PTB has multifactorial origins and often several systems in the body and many different factor classifications interact in increasing the risk of PTB. Microbial infections are a major risk factor for PTB and this can be as a result of systemic intrauterine or infections or lower genital tract infections. According to some conservative estimates, microbial intrauterine infections account for about 25–40 % of PTBs. The mechanism apparently is through innate immunity activation that leads to interaction of toll-like receptors, inflammatory cytokines, and chemokines. Endotoxins lead to production of prostaglandins which stimulate the uterine contractility resulting in premature labor. Uteroplacental ischemia also leads to PTB. Several studies have indicated that periodontal disease causes PTB possibly due to heightened inflammatory state. More information about biological pathways that predispose to PTB is available in several recent reviews [8, 9, 12, 13].

Idiopathic factors

Preterm birth is a multifactorial syndrome and the exact cause of the condition remains poorly defined. It is estimated that only 50 % PTBs can be assigned to a known risk or causative factor, while the rest remain idiopathic.

Genetic polymorphisms associated with PTB

The initial approach to identify genetic variants conferring an increased risk for PTB was to select candidate genes based on the functional association with a major system in the pathway of PTB. Recently more and more studies are non-candidate driven focusing on genome wide association studies in which thousands of polymorphisms are screened at once. In contrast to earlier methods in which only few genetic regions of specific genes are investigated, the genome wide association studies target the whole genome. Genetic polymorphisms associated with PTB are grouped under the following body systems for descriptive purpose and genes are listed in Additional file 1: Table S1.

Endocrine system related gene polymorphisms

Human pregnancy is dependent on the coordinated synthesis, secretion, and interplay of hormones among the fetus, mother, and placenta. Childbirth also involves sequential structural and functional changes in the uterus and cervix effected by coordinated interplay of hormonal mechanisms during the terminal stages of the pregnancy. During parturition uterus changes from a state of quiescence and relaxation during pregnancy to a state of regular, recurring, and synchronous contractions probably owing to removal of mechanisms that promote uterine relaxation [14–16]. The decrease in progesterone concentrations that occurs at the time parturition is one of the examples of loss of quiescence factors at the end of gestation. Decrease in progesterone is simultaneously associated with up-regulation of gene expression for the oxytocin receptor that plays a crucial role in parturition [14, 17]. Progesterone treatment is commonly and effectively used to prevent recurrences of preterm labor [18]. Several studies have been done recently on the association of polymorphisms in the progesterone receptor (PGR) gene with PTB. However the results have been equivocal. Ehn et al. [19] analyzed 17 SNPs of PGR gene in 415 PTB families and identified significant associations were for both the mother and the preterm baby [19]. Similarly, other studies reported PGR gene polymorphisms for minor allele (G for rs471767 or rs1942836) in women with PTB [20, 21]. Furthermore, they were more likely to carry to carry the GT haplotype across rs471767 and rs578029 compared to women with term pregnancy. Progesterone receptor SNPs were also associated with beneficial or harmful treatment-genotype interaction in African American, Hispanic, and Caucasian women who received progesterone caproate treatment for recurrent PTB prevention [22]. Several other studies, however, did not find any association between PGR SNPs and PTB [23–25]. No genetic polymorphisms were also found in mitochondrial localization sequence of the truncated progesterone receptor (PR-M) gene in a group of women at high risk for PTB [26].

Oxytocin (OXT) and its receptor (OXTR) are other crucial hormone system involved in childbirth [27–29]. Oxytocin causes myometrial contractions and helps in assisting cervical ripening [30, 31]. Oxytocin receptor gene is expressed in myometrial and endometrial tissue and also in many other tissues of the body including the central nervous system [28]. To-date many SNPs (several dozen) have been reported in the OXTR gene, however, less is known about their association with physiological processes. Recently some studies have reported association of OXTR gene polymorphisms with PTB risk [32–34]. An exhaustive study was done in 651 PTB infants and their parents for analyses of 16 single nucleotide polymorphisms (SNPs) in genes for OXT and OXTR, and leucyl/cystinyl aminopeptidase (LNPEP) [35]. Two common SNPs of OXTR (rs4686302, rs237902) were shown apparently to be associated with PTB. Kuessel et al. [34] studied four common OXTR polymorphisms (rs53576, rs2254298, rs237911, rs2228485) in 100 women each with PTB and term birth. Although no relationship was revealed for each of the four individual polymorphisms and PTB, however, the haplotype combination of rs2228485 C allele, rs2254298 A allele, and rs237911 G allele was found to be significantly associated with an increased risk of PTB.

Relaxin is an important hormone involved in softening of pubic symphysis and collagen remodeling during pregnancy [36]. Serum levels of relaxin are lower in early pregnancy and higher during late pregnancy in women with PTB compared to women with term birth [37]. Increased expression of intrauterine relaxin occurs in women with PPROM [38]. Risk of PTB is high in mothers having homozygosity of the rarer allele (rs10115467 and rs4742076) in the relaxin 2 gene (RLN2 [39]). In a Filipino population, a SNP in RLN2 promoter (rs4742076) was associated with the elevated decidual RLN expression and PPROM, while as rs3758239 was associated with both PPROM and PTB [40].

Polymorphisms in several other genes related to endocrine system have been reported to increase or decrease the risk of PTB. In Finnish and African American mothers SNPs in follicle stimulating hormone receptor (FSHR) gene were associated with PTB [41, 42] and were predicted to likely disrupt zinc finger E-box binding homeobox 1 (ZEB1) and elongation factor 3 (ELF3) transcription factor binding sites [42]. In Norwegian population, a polymorphism in prostaglandin E receptor 3 gene (PTGER3; rs977214) in women exerted a protective effect against PTB [43]. PTGER3 is a gene associated with inflammatory response and plays a role in initiation of labor. However, another study found an increased risk of PTB in women with SNP in PTGER3 [44]. Polymorphisms in prostaglandin D receptor (PTGDR) also increased the risk of post-coital preterm birth in women [45]. Polymorphism in type 1 insulin-like growth factor receptor (IGF1R) in fetus [46] and insulin-like growth factor binding protein 3 (IGFBP3) in mother [47] also increased the risk of PTB. Polymorphisms in corticotropin-releasing hormone receptor 2 gene (CRHR2) were not associated with increased risk of PTB [48], but a linkage candidate gene approach for identifying genetic variants playing role in PTB found CRHR1 in infants associated with risk for PTB [47]. The endocrine related genes associated with PTB are listed in Additional file 1: Table S1.

Tissue remodeling and biogenesis related gene polymorphisms

Many of the changes in molecular remodeling of the tissues and myometrial contractions during parturition are not yet known or fully characterized. Functional genomic approach has been used during the last decade to analyze gene expression in human [49–51] and rodent myometrium [50, 52]. These studies revealed a number of genes that might be important in the molecular control of initiation of parturition. Comparison of uterine tissue samples of pregnant women in labor and before labor revealed differential expression of genes for myometrial gap junction protein connexin-43 [53], estrogen and progesterone receptors [54], prostaglandin endoperoxide synthase 1 and 2 (PTGS1 and PTGS2) [55], intercellular adhesion molecule-1 (ICAM1) [56], 15-hydroxyprostaglandin dehydrogenase (HPGD) [57], interleukin-8 (IL8) [58], and prostaglandin-endoperoxide synthase 2 (PTGS2), and calgranulin B (S100A9) [17].

Recent studies have also shown that DNA variants in genes involved in extracellular matrix metabolism such as tissue inhibitor of metalloproteinase 2 (MMP-2) and collagen type IV alpha-3 chain (COL4A3) were found to increase the risk of PTB [32, 33]. Heat shock protein 47 (SERPINH1) which is involved in the maturation of collagen molecules is enriched in African and African American populations and has been found to be associated with PTB [12]. Polymorphism in genes like TIMP metallopeptidase inhibitor 2 (TIMP2), COL1A2, and endothelin 1 (EDN1) almost double the risk of PTB and both maternal and fetal DNA variants are associated with spontaneous PTB [32, 33]. In African American women, an analysis of 1500 SNPs resulted in identification of a susceptibility locus on chromosome 7 which mediates PTB. The locus contains many potential genes including COL1A2 [22]. In another study [59], polymorphisms in COL5A2 and COL5A1 were associated with spontaneous PTB. In contrast, lysyl oxidase-like 1 (LOXL1) which is involved in connective tissue biogenesis does not contribute significantly to risk of PTB or PPROM [60]. Similarly, another study [61] also found no evidence of association between spontaneous PTB and polymorphisms in MMP-1 (1607 1G/2G) and MMP-9 (1562 C/T) genes. The tissue remodeling and biogenesis related genes associated with PTB are listed in Additional file 1: Table S1.

Vascular and angiogenesis related gene polymorphisms

Uteroplacental ischemia or hemorrhage is one of the risk factors of spontaneous PTB and bout 15 % PTBs are due to impairment of placentation [62, 63]. Andraweera et al. [62] studied 1190 nulliparous caucasian women and identified that interactions of polymorphisms in vascular endothelial factor A (VEGFA) and angiopoietin 1 (ANGPT1) with maternal body mass index (BMI) were associated with higher risk of PTB. Genes regulating renin-angiotensin system have also been implicated in PTB. Angiotensinogen (AGT) 174–235 region has been associated with PPROM [64]. Uma et al. [65] demonstrated that polymorphisms in angiotensin converting enzyme gene (ACE) in fetal genotype were associated with higher risk of PTB. Several other studies reported that variants of the adrenergic receptor beta 2 gene (ADRB2), inducible nitric oxide synthase (NOS2A), thrombomodulin, endothelial nitric oxide synthase (NOS3A), plasminogen activator inhibitor-2, and alpha adducin (ADD1) were associated with PTB [66, 67]. Coagulation/thrombophilic pathway was predicted to influence the PTB and interestingly, the plasminogen activator inhibitor-1 (SERPINE1) polymorphism was found to be associated with PTB [68]. Genetic analysis of 542 women with PTB and 1141 women with term deliveries identified that Factor V (F5) gene SNPs interacted with maternal smoking and increased the risk of PTB [69]. In contrast, thrombophilic gene polymorphisms did not haveany association with PTB [70]. Small conductance calcium-activated potassium channel 3 (KCNN3) plays a role in smooth muscle relaxation and arterial tone. Polymorphisms in maternal KCNN3 gene (rs1218585, rs1218584, rs883319) have been found to increase the risk PTB [21, 71]. The vascular and angiogenesis related genes associated with PTB are listed in Additional file 1: Table S1.

Metabolism related gene polymorphisms

The cytochrome P450 isoenzymes are involved in the metabolism of organic molecules and the biosynthesis of steroids, lipids, and vitamins. Steroid biosynthetic pathway is an important pathway in the pregnancy maintenance and embryonic development and survival. Source of cholesterol in mother depends on the dietary intake and synthesis within the body whereas that of the fetus is dependent on the mother through placental circulation [72]. Cholesterol is necessary for synthesis of steroid hormones in the mother, placenta and the fetus. Large amounts of maternal steroid hormones are metabolized by the placenta in order to allow normal development of the fetal organs and regulate the pregnancy. During pregnancy the maternal blood lipid levels and mutations in cholesterol metabolism are associated with a risk for PTB [73–75]. Lanosterol 14α-demethylase (CYP51A1) is a regulatory enzyme involved in later stage of cholesterol biosynthesis. Analysis of CYP51A1 polymorphisms in 188 women with PTB and in 188 PTB infants suggested new links between PTB and cholesterol synthesis. Absence of a single allele for CYP51A1 in a preterm infant/mother combination though with low frequency conferred a risk for PTB [76]. In a separate study, fatty acid metabolism pathway genes were reported to exhibit modest association with PTB [77]. Polymorphisms in several cholesterol metabolism genes such as 7-dehydrocholesterol reductase (DHCR7), 3-hydroxy-3-methyl-glutaryl-CoA reductase (HMGCR), apolipoprotein A-I (APOA1), and ATP-binding cassette transporter (ABCA) in the mother and fetus were found to increase the risk of PTB [74]. A linkage candidate gene approach for identifying genetic variants playing role in PTB found cytochrome P450 2E1 (CYP2E1) in infants and ectonucleotide pyrophosphatase /phosphodiesterase family member 1 (ENPP1) and DHCR7 in mothers associated with PTB [47].

Glutathione S-transferase μ 1 (GSTM1) enzymes are involved in xenobiotic metabolism that includes detoxification of electrophilic compounds such as environmental toxins, therapeutic drugs, carcinogens, and products of oxidative stress. In Korean women, gene-environment (particulate matter) interaction study between the GSTM1 null genotype conferred a higher risk of PTB [78]. Lee et al. [79] reported that GSTM1 null genotype confers risk of PTB independent of serum paraoxonase/arylesterase 1 (PON1) genotype in Korean pregnant women. PON1 causes hydrolysis of the organophosphorus compounds and it was found that a fetus with the susceptible PON1 (-108TT) genotype was at higher risk of PTB [80]. In 434 Norwegian mother-baby diads, the most significant association with PTB was for a polymorphisms in fetal PON1 [43]. Interaction of organochlorine pesticides with SNPs in CYP1A1m2 and GSTM1 null genotypes may magnify the risk of PTD [81]. An analysis on 1030 African American mothers for African ancestry characters and polymorphisms in CYP1A1 and glutathione S-transferase theta-1 (GSTT1) in relation to pregnancy outcome revealed significant contributions of African ancestry and CYP1A1- and GSTT1-smoking interactions to PTB [82]. Similarly, maternal CYP1A1 heterozygous mutation and homozygous mutation in combination with GSTT1 null genotypes confers the risk of PTB [83]. Association of GSTT1/GSTT2 and P4501A1 with PTB was also reported in other studies [84, 85] suggesting that the combined genotypes of CYP1A1 and GSTT1/GSTT2 help identification of pregnant women who are at higher risk of spontaneous PTD owing to passive smoking.

Polymorphisms in C-1-tetrahydrofolate synthase (MTHFD1), which is involved in folate metabolism did not show any association with PTB [86, 87]. However, serine hydroxymethyltransferase (SHMT) enzyme that plays a role in folate metabolism was associated with PTB [88]. Other recently identified gene polymorphisms associated with PTB include peroxisome proliferator-activated receptor gamma (PPARG) [89] and FokI vitamin D receptor (VDR) [90]. The metabolism related genes associated with PTB are listed in Additional file 1: Table S1.

Innate immunity and inflammation related gene polymorphisms

Immune and inflammatory related gene polymorphisms are by far the most studied polymorphisms in relation to spontaneous PTB. Independent reviews focusing solely on the inflammatory related genetic risk factors targeting years until 2009 are available [91, 92].

Inflammation and immunity processes are a multipronged biological reaction of the body tissues to harmful pathogens and involves cellular and humoral responses. Cytokines, antibacterial proteins, and antibodies synthesized and secreted in the body protect against the infections. Genetic polymorphisms regulating the maternal immunologic response during pregnancy may cause an insufficient or exaggerated inflammatory response to microbial infections and lead to an increased risk of preterm birth. Interleukins are cytokines involved in inflammatory response and IL1 modulates inflammatory responses through integrins on leukocytes and endothelial cells. Polymorphisms in the IL1α gene in Japanese women were associated with PTB [93] but IL1β polymorphism with or without bacterial vaginosis did not confer any increased risk for PTB [94]. IL1β is a proinflammatory cytokine and an important mediator of innate immune response to microbial products. In a Brazilian population with known high rate of PTB, mothers carrying polymorphisms in intron 2 of IL1 receptor antagonist (IL1RN) gene were found to have increased susceptibility to PTB [95]. IL1 receptor antagonist binds to IL1 receptor 1 (IL1R1) and inhibits the association of IL1R1with the coreceptor for signaling thus blocking the IL1 activity. Also, maternal carriers of IL1RN polymorphism in a group of Polish women were at increased risk of PTB and this risk was further elevated with a coincidence of at least one copy of IL6 allele G [96]. In non-Hispanic white women, higher risk of PTB was found when both mother and child carried the IL1RN intron2 repeat [97]. Interleukin 6 is a proinflammtory cytokine released by T-cells and macrophages and stimulates inflammatory response during infection. Studies on European Americans and African Americans found potential role of polymorphisms of IL6 and IL6 receptor (IL6R) genes in PTB and in the differential disparity for the risk in the two ethnicities [98]. Genetic variations in IL6 and IL6R were found to be associated with increased amniotic concentration of IL6 in PTB patients [99].

Periodontitis was suggested to be associated with PTB but a study on Japanese women did not find any association between PTB and periodontitis [100]. However, polymorphisms in Fc fragment of IgA receptor (FCAR) and IL6 increased the risk for PTB in the same study. In contrast, other studies [101, 102] have found no association of polymorphism in IL6 and IL10 with PTB. Interleukin 10 is an anti-inflammatory cytokine and attenuates the inflammatory response through effects on proinflammatory cytokines and reduces the function of host immune cells, such as neutrophils and macrophages. Polymorphism in genes for Protein kinase C alpha (PRKCα) and IL6 interact with bacterial vaginosis and confer increased risk for PTB [103]. An exhaustive study on 402 PTB mother-fetus combinations and 1227 term mother-fetus combinations for analysis of 775 SNPs in 190 candidate genes found that IL6R1, involved in controlling fetal inflammation, doubled the risk for PTB [33]. In contrast, maternal carrier of polymorphic alleles of IL1β (+3953C > T), IL6 (-174G > C), and IL1RN genes did not show any association with PTB due to PPROM [104]. In African American population, an ethnic group with a known higher rate of PTB, polymorphisms in infection and inflammation related genes particularly IL12 and IL12 receptor beta (IL12Rβ) were found to confer elevated risk for PTB [105]. Similarly, haplotypes of IL13/IL4 in a German population were also associated with PTB [106].

Tumor necrosis factor (TNF) α is secreted by immunocompetent cells after contact with microbial metabolites and mediates the immunologic response of the host. TNFα shows significant variability among individuals possibly due to the genetic polymorphisms. Studies have shown that polymorphisms in TNFα promoter confer an increased risk of PTB [94, 107]. In Chinese Han population polymorphisms in TNF receptor (TNFR2) gene did not increase the risk of PTB but 96 TG (GG) genotype may contribute to susceptibility to chorioamnionitis in the process of PTB [108]. The increased risk of PTB in Danish Caucasian women in association with polymorphisms of TNFα and IL1β was attributed to dysregulation of the immune system in pregnancy [109]. Moura et al. [92] reported that polymorphisms in TNFα, interferon (IFN)γ, and IL6 were associated with elevated risk of PTB. TNFα gene polymorphism G308A was associated with PTB and the risk of PTB was reduced if mother's or child's genotype was G/A [110]. In several other studies TNFα gene polymorphisms were consistently associated with PTB [111–113]. Among African-American women, chances of PTB were found to be higher if both mother and child carried the TNFR2 M196R allele [97]. Polymorphisms in TNFα also interacted with HEV infection during pregnancy and increased the risk of PTB [114]. In contrast, other studies did not find any association of TNFα -G308A mutation with the risk of PTB [115] or PTB due to PPROM [104]. A linkage candidate gene approach for identifying genetic variants playing role in PTB found TNF receptor-associated factor 2 (TRAF2) gene variants in mothers associated with PTB [47].

Toll-like receptors (TLRs) are proteins involved in innate immune response and are expressed in macrophages and dendritic cells. Toll-like receptors interact with invading microbes and activate immune cell response triggering production of cytokines and chemokines. Polymorphisms in TLR 2 variant confers increased risk of PTB [116]. Similarly, fetuses that carry the Asp299Gly substitution in TLR4 conferred an increased risk of PTB [117]. A study in German population suggested an elevated risk of PTB with haplotypes of IL4, IL13, and TLR10 [106]. In contrast, maternal carriage of TLR4 1196 T allele may be associated with reduced risk of PTB before 33rd week of gestation in Polish population [118]. Polymorphisms in TLR pathway adapter variant TIR domain receptor-associated protein (TIRAP) have been found to render protection against PTB [119].

Polymorphisms in ICAM1 have also been found to confer risk for PTB in a Korean population [120]. ICAM1 has a proinflammatory role in facilitating leukocyte endothelial transmigration by signaling through cascades involving a number of kinases. Polymorphisms in low affinity immunoglobulin gamma Fc region receptor II-b (FCGR2B) gene which is involved in regulation of antibody production and apoptosis also confer a higher risk for PTB [121]. Gene-environment interactions of polymorphisms for protein kinase C alpha (PRKCα), fms-like tyrosine kinase (FLT1), and IL6 with bacterial vaginosis contributed to the risk of PTB [103].

Several other studies recently have reported the association of polymorphisms for many other immune and inflammatory genes with PTB. These studies include the genes such as defensin α 5 (DEFA5) [32, 33], IL1β [122], major histocompatibility complex, class II, DQ alpha 1 (HLA-DQA1) [123], compliment region 1 (CR1) [124], selenoprotein (SEPS1) [125], surfactant pulmonary-associated protein D (SFTPD) [126], colony-stimulating factor 2 (CSF2) [127], interferon γ receptor 2 (IFNGR2) [127], and killer cell immunoglobulin-like receptor three domain long cytoplasmic tail 2 (KIR3DL2) [127]. The full list of the genes that have been reported with a potential association with PTB is presented in Additional file 1: Table S1.

Miscellaneous gene polymorphisms

Miscellaneous section contains information on genetic polymorphisms that could not be included in any other section and the number of studies was too small to create separate sections for them. Analysis of nonsynonymous mitochondrial DNA (mtDNA) variants A4917G, G10398A and T4216C for potential interaction with smoking and association with PTB was done in 422 pregnant Caucasian women [99]. Mitochondrial DNA variants A4917G and T4216C conferred risk for PTB after adjusting for smoking, indicating that mitochondrial genome polymorphisms may play a significant role in PTB through an interaction with smoking. In contrast, no mitochondrial gene variant was found to contribute to the maternal transmission of PTD in another study [128]. In an African American population, polymorphisms in fetal catechol-o-methyltransferase (COMT) gene (rs4818) conferred increased risk of PTB [129]. Several signaling factors such as early growth response 1 (EGR1), transcription factor AP2A (TFAP2A), and specificity protein 3 (SP3) have been suggested as useful in PTB risk prediction [130]. X-chromosomal SNPs data on a Norwegian, Danish and Argentinean populations showed that the G allele of maternal SNP rs2747022 in the FERM domain containing 7 (FRMD7) gene conferred increased risk for PTB [131].

Conclusions

Preterm birth is increasingly being recognized as a complex syndrome for which the etiology is not yet fully understood. Lack of a well-defined etiology is a major limitation in predicting impending spontaneous preterm birth and instituting effective preventive measures. Therefore, the challenge is to identify high risk women and provide them a personalized medical care for reducing the burden of PTB. In addition to infectious, lifestyle, and demographic risks, genetic factors increasingly seem to be important in PTB. Familial aggregation of PTB and recurrent occurrence in women puts forth a case of complex genetic predisposition. Study of genetic polymorphisms can be useful in predicting the risk for PTB. It has been estimated that SNPs constitute about 90 % of all genetic variations in the human genome. During the last decade studies on functional candidate gene variants and genome-wide linkage analyses in women and families undergoing recurrent preterm birth have thrown forward a large number of potential genes predisposing for preterm birth. Majority of the significant associations for SNPs and PTB are related to inflammation. Many of the polymorphisms exhibit inconsistency and remain inconclusive. Being a global problem preterm birth warrants global solutions. Recent genomic approaches are beginning to reveal the information for understanding the causes of PTB. However, to fully appreciate and understand the complexity of PTB, future approaches using high-throughput genome sequencing methods such as whole-exome sequencing and whole-genome sequencing studies are essential. These may involve multicenter national and international collaborative efforts and may also include proteomic and metabolomics approaches that will significantly enhance the understanding of PTB ultimately leading to the formulation of preventive interventions.

Abbreviations

IOM: 

Institute of medicine

PTB: 

Preterm birth

SNPs: 

Single nucleotide polymorphisms

WHO: 

World health organization

Declarations

Acknowledgements

The authors are thankful to M. S. Gazdar, Head of the library at KFMRC, for online journal help and easy access of books and journals.

Declarations

This article has been published as part of BMC Genomics Volume 17 Supplement 9, 2016: Proceedings of the 3rd International Genomic Medicine Conference: genomics. The full contents of the supplement are available online at http://bmcgenomics.biomedcentral.com/articles/supplements/volume-17-supplement-9.

Funding

Publication charges for this article were funded by the Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.

Availability of data and materials

All the data and the materials are available within the manuscript and in the additional file.

Authors’ contributions

IAS, MAB conducted literature search, prepared manuscript outline, and revision. EA, MSJ, MR, MA, IAT, SFA, OSB, RFT, AMA, GAD, MA participated in manuscript preparation, drafting, critical review and revision. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Statement of consent for publication from any patients whose details are included in the manuscript: Not applicable.

Ethics approval and consent to participate

Not applicable.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
King Fahd Medical Research Center, King Abdulaziz University, PO Box 80216, Jeddah, 21589, Saudi Arabia
(2)
Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia
(3)
Faculty of Computing and Information Technology, King Abdulaziz University, Rabigh, Saudi Arabia
(4)
Department of Obstetrics and Gynecology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
(5)
KACST Innovation Center in Personalized Medicine, King Abdulaziz University, Jeddah, Saudi Arabia

References

  1. WHO. The prevention of perinatal mortality and morbidity. Report of a WHO Expert Committee. World Health Organ Tech Rep Ser. 1970;457:1–60.Google Scholar
  2. Liu L, Johnson HL, Cousens S, Perin J, Scott S, Lawn JE, et al. Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. Lancet. 2012;379:2151–61.PubMedView ArticleGoogle Scholar
  3. Kinney MV, Lawn JE, Howson CP, Belizan J. 15 million preterm births annually: what has changed this year? Reproductive Health. 2012;9:28.PubMedPubMed CentralView ArticleGoogle Scholar
  4. Blencowe H, Cousens S, Oestergaard MZ, Chou D, Moller AB, Narwal R, et al. National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet. 2012;379:2162–72.PubMedView ArticleGoogle Scholar
  5. Howson CP, Kinney MV, McDougall L, Lawn JE. Born too soon: preterm birth matters. Reprod Health. 2013;Suppl 1:S1.View ArticleGoogle Scholar
  6. Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380:2197–223.PubMedView ArticleGoogle Scholar
  7. Wen SW, Smith G, Yang Q, Walker M. Epidemiology of preterm birth and neonatal outcome. Semin Fetal Neonatal Med. 2004;9:429–35.PubMedView ArticleGoogle Scholar
  8. Goldenberg RL, Culhane JF, Iams JD, Romero R. Epidemiology and causes of preterm birth. Lancet. 2008;371:75–84.PubMedView ArticleGoogle Scholar
  9. IOM. Preterm birth: causes, consequences, and prevention. In: Behrman RE, Butler AS, editors. Institute of Medicine. Washington DC: National Academies Press; 2007. http://www.ncbi.nlm.nih.gov/books/NBK11362/.Google Scholar
  10. Crump C, Sundquist K, Sundquist J, Winkleby MA. Gestational age at birth and mortality in young adulthood. J Am Med Assoc. 2011;306:1233–40.View ArticleGoogle Scholar
  11. Swamy GK, Ostbye T, Skjaerven R. Association of preterm birth with long-term survival, reproduction, and next-generation preterm birth. J Am Med Assoc. 2008;299:1429–36.View ArticleGoogle Scholar
  12. Anum EA, Springel EH, Shriver MD, Strauss 3rd JF. Genetic contributions to disparities in preterm birth. Pediatr Res. 2009;65:1–9.PubMedPubMed CentralView ArticleGoogle Scholar
  13. Alleman BW. Preterm birth: prediction, prevention, care. Thesis and Dissertations, University of Iowa; 2014 (Iowa Research Online: http://ir.uiowa.edu/etd/4563).
  14. Lye SJ, Challis RJ. Paracrine and endocrine control of myometrial activity. In: Gluckman PD, Johnston BM, Nathanielz PW, editors. Advances in Fetal Physiology: Reviews in Honour of G.C. Liggins. Advances in Perinatal Medicine (VII). Ithaca, NY: Perinatology Press; 1989. p. 361–75.Google Scholar
  15. Cornwell TL, Li J, Sellak H, Miller RT, Word RA. Reorganization of myofilament proteins and decreased cGMP-dependent protein kinase in the human uterus during pregnancy. J Clin Endocrinol Metab. 2001;86:3981–88.PubMedView ArticleGoogle Scholar
  16. Bernal AL. Mechanisms of labour—biochemical aspects. Br J Obstet Gynaecol. 2003;110 Suppl 20:39–45.View ArticleGoogle Scholar
  17. Havelock JC, Keller P, Muleba N, Mayhew BA, Casey BM, Rainey WE, et al. Human myometrial gene expression before and during parturition. Biol Reprod. 2005;72:707–19.PubMedView ArticleGoogle Scholar
  18. Schindler AE. Role of progestogens for the prevention of premature birth. J Steroid Biochem Mol Biol. 2005;97:435–38.PubMedView ArticleGoogle Scholar
  19. Ehn NL, Cooper ME, Orr K, Shi M, Johnson MK, Caprau D, et al. Evaluation of fetal and maternal genetic variation in the progesterone receptor gene for contributions to preterm birth. Pediatr Res. 2007;62:630–35.PubMedPubMed CentralView ArticleGoogle Scholar
  20. Manuck TA, Major HD, Varner MW, Chettier R, Nelson L, Esplin MS. Progesterone receptor genotype, family history, and spontaneous preterm birth. Obstet Gynecol. 2010;115:765–70.PubMedView ArticleGoogle Scholar
  21. Mann PC, Cooper ME, Ryckman KK, Comas B, Gili J, Crumley S, et al. Polymorphisms in the fetal progesterone receptor and a calcium-activated potassium channel isoform are associated with preterm birth in an Argentinian population. J Perinatol. 2013;33:336–40.PubMedView ArticleGoogle Scholar
  22. Manuck TA, Lai Y, Meis PJ, Dombrowski MP, Sibai B, Spong CY, et al. Progesterone receptor polymorphisms and clinical response to 17-alpha-hydroxyprogesterone caproate. Am J Obstet Gynecol. 2011;205:135. e1-9.PubMedPubMed CentralView ArticleGoogle Scholar
  23. Diaz-Cueto L, Dominguez-Lopez P, Cantillo-Cabarcas J, Perez-Figueroa G, Arechavaleta-Velasco M, Arechavaleta-Velasco F. Progesterone receptor gene polymorphisms are not associated with preterm birth in a Hispanic population. Int J Gynaecol Obstet. 2008;103:153–57.PubMedView ArticleGoogle Scholar
  24. Guoyang L, Morgan T, Bahtiyar MO, Snegovskikh VV, Schatz F, Kuczynski E, et al. Single nucleotide polymorphisms in the human progesterone receptor gene and spontaneous preterm birth. Reprod Sci. 2008;15:147–55.View ArticleGoogle Scholar
  25. Oliveira TA, da Cunha DR, Policastro A, Traina É, Gomes MT, Cordioli E. The progesterone receptor gene polymorphism as factor of risk for the preterm delivery. Rev Bras Ginecol Obstet. 2011;33:271–75.PubMedGoogle Scholar
  26. Manuck TA, Price TM, Thom E, Meis PJ, Dombrowski MP, Sibai B, et al. Absence of mitochondrial progesterone receptor polymorphisms in women with spontaneous preterm birth. Reprod Sci. 2010;17:913–16.PubMedPubMed CentralView ArticleGoogle Scholar
  27. Akerlund M. Vasopressin and oxytocin in normal reproduction and in the pathophysiology of preterm labour and primary dysmenorrhoea. Development of receptor antagonists for therapeutic use in these conditions. Rocz Akad Med Bialymst. 2004;49:18–21.PubMedGoogle Scholar
  28. Gimpl G, Fahrenholz F. The oxytocin receptor system: Structure, function, and regulation. Physiol Rev. 2001;81:629–83.PubMedGoogle Scholar
  29. Kawamura Y, Liu X, Akiyama T, Shimada T, Otowa T, Sakai Y, et al. The association between oxytocin receptor gene (OXTR) polymorphisms and affective temperaments, as measured by TEMPS-A. J Affect Disord. 2010;127:31–7.PubMedView ArticleGoogle Scholar
  30. Fuchs AR, Fuchs F, Husslein P, Soloff MS, Fernstrom M. Oxytocin receptors and human parturition: a dual role for oxytocin in the initiation of human labor. Science. 1982;215:1396–8.PubMedView ArticleGoogle Scholar
  31. Johnson M. Parturition. In Johnson and Everitt’s Essential Reproduction, Blackwell Publishing Co 2007; pp. 245–54.Google Scholar
  32. Romero R, Friel LA, Velez Edwards DR, Kusanovic JP, Hassan SS, Mazaki-Tovi S, et al. A genetic association study of maternal and fetal candidate genes that predispose to preterm prelabor rupture of membranes (PROM). Am J Obstet Gynecol. 2010;203:361. e1–361.e30.PubMedPubMed CentralView ArticleGoogle Scholar
  33. Romero R, Velez Edwards DR, Kusanovic JP, Hassan SS, Mazaki-Tovi S, Vaisbuch E, et al. Identification of fetal and maternal single nucleotide polymorphisms in candidate genes that predispose to spontaneous preterm labor with intact membranes. Am J Obstet Gynecol. 2010;202:431. e1–34.PubMedPubMed CentralView ArticleGoogle Scholar
  34. Kuessel L, Grimm C, Knöfler M, Haslinger P, Leipold H, Heinze G, et al. Common oxytocin receptor gene polymorphisms and the risk for preterm birth. Dis Markers. 2013;34:51–6.PubMedView ArticleGoogle Scholar
  35. Kim J, Stirling KJ, Cooper ME, Ascoli M, Momany AM, McDonald EL, et al. Sequence variants in oxytocin pathway genes and preterm birth: a candidate gene association study. BMC Med Genet. 2013;14:77.PubMedPubMed CentralView ArticleGoogle Scholar
  36. Sherwood OD. Relaxin's physiological roles and other diverse actions. Endocr Rev. 2004;25:205–34.PubMedView ArticleGoogle Scholar
  37. Vogel I, Thorsen P, Hundborg HH, Uldbjerg N. Prediction of preterm delivery using changes in serum relaxin in low risk pregnancies. Eur J Obstet Gynecol Reprod Biol. 2006;128:113–8.PubMedView ArticleGoogle Scholar
  38. Bryant-Greenwood GD, Kern A, Yamamoto SY, Sadowsky DW, Novy MJ. Relaxin and the human fetal membranes. Reprod Sci. 2007;14(Suppl):42–5.PubMedView ArticleGoogle Scholar
  39. Vogel I, Hollegaard MV, Hougaard DM, Thorsen P, Grove J. Polymorphisms in the promoter region of relaxin-2 and preterm birth: involvement of relaxin in the etiology of preterm birth. In Vivo. 2009;23:1005–9.PubMedGoogle Scholar
  40. Rocha FG, Slavin TP, Li D, Tiirikainen MI, Bryant-Greenwood GD. Genetic associations of relaxin: preterm birth and premature rupture of fetal membranes. Am J Obstet Gynecol. 2013;209:258. e1–8.PubMedPubMed CentralView ArticleGoogle Scholar
  41. Plunkett J, Doniger S, Orabona G, Morgan T, Haataja R, Hallman M, et al. An evolutionary genomic approach to identify genes involved in human birth timing. PLoS Genet. 2011;7:e1001365.PubMedPubMed CentralView ArticleGoogle Scholar
  42. Chun S, Plunkett J, Teramo K, Muglia LJ, Fay JC. Fine-mapping an association of FSHR with preterm birth in a Finnish population. PLoS One. 2013;8:e78032.PubMedPubMed CentralView ArticleGoogle Scholar
  43. Ryckman KK, Morken NH, White MJ, Velez DR, Menon R, Fortunato SJ, et al. Maternal and fetal genetic associations of PTGER3 and PON1 with preterm birth. PLoS One. 2010;5:e9040.PubMedPubMed CentralView ArticleGoogle Scholar
  44. Jeffcoat MK, Jeffcoat RL, Tanna N, Parry SH. Association of a common genetic factor, PTGER3, with outcome of periodontal therapy and preterm birth. J Periodontol. 2014;85:446–54.PubMedView ArticleGoogle Scholar
  45. Grisaru-Granovsky S, Altarescu G, Finci S, Weintraub A, Tevet A, Samueloff A. Prostanoid DP receptor (PTGDR) variants in mothers with post-coital associated preterm births: preliminary observations. J Perinatol. 2010;30:33–7.PubMedView ArticleGoogle Scholar
  46. Haataja R, Karjalainen MK, Luukkonen A, Teramo K, Puttonen H, Ojaniemi M, et al. Mapping a new spontaneous preterm birth susceptibility gene, IGF1R, using linkage, haplotype sharing, and association analysis. PLoS Genet. 2011;7:e1001293.PubMedPubMed CentralView ArticleGoogle Scholar
  47. Bream EN, Leppellere CR, Cooper ME, Dagle JM, Merrill DC, Christensen K, et al. Candidate gene linkage approach to identify DNA variants that predispose to preterm birth. Pediatr Res. 2013;73:135–41.PubMedView ArticleGoogle Scholar
  48. Schmid M, Grimm C, Leipold H, Knöfler M, Haslinger P, Egarter C. A polymorphism of the corticotropin-releasing hormone receptor 2 (CRHR2) and preterm birth. Dis Markers. 2010;28:37–42.PubMedPubMed CentralView ArticleGoogle Scholar
  49. Aguan K, Carvajal JA, Thompson LP, Weiner CP. Application of a functional genomics approach to identify differentially expressed genes in human myometrium during pregnancy and labour. Mol Hum Reprod. 2000;6:1141–5.PubMedView ArticleGoogle Scholar
  50. Bethin KE, Nagai Y, Sladek R, Asada M, Sadovsky Y, Hudson TJ, et al. Microarray analysis of uterine gene expression in mouse and human pregnancy. Mol Endocrinol. 2003;17:1454–69.PubMedView ArticleGoogle Scholar
  51. Charpigny G, Leroy MJ, Breuiller-Fouche M, Tanfin Z, Mhaouty-Kodja S, Robin P, et al. A functional genomic study to identify differential gene expression in the preterm and term human myometrium. Biol Reprod. 2003;68:2289–96.PubMedView ArticleGoogle Scholar
  52. Girotti M, Zingg HH. Gene expression profiling of rat uterus at different stages of parturition. Endocrinology. 2003;144:2254–65.PubMedView ArticleGoogle Scholar
  53. Chow L, Lye SJ. Expression of the gap junction protein connexin-43 is increased in the human myometrium toward term and with the onset of labor. Am J Obstet Gynecol. 1994;170:788–95.PubMedView ArticleGoogle Scholar
  54. Winkler M, Kemp B, Classen-Linke I, Fischer DC, Zlatinsi S, Neulen J, et al. Estrogen receptor alpha and progesterone receptor A and B concentration and localization in the lower uterine segment in term parturition. J Soc Gynecol Investig. 2002;9:226–32.PubMedView ArticleGoogle Scholar
  55. Sparey C, Robson SC, Bailey J, Lyall F, Europe-Finner GN. The differential expression of myometrial connexin-43, cyclooxygenase-1 and -2, and Gs alpha proteins in the upper and lower segments of the human uterus during pregnancy and labor. J Clin Endocrinol Metab. 1999;84:1705–10.PubMedGoogle Scholar
  56. Ledingham MA, Thomson AJ, Jordan F, Young A, Crawford M, Norman JE. Cell adhesion molecule expression in the cervix and myometrium during pregnancy and parturition. Obstet Gynecol. 2001;97:235–42.PubMedGoogle Scholar
  57. Giannoulias D, Patel FA, Holloway AC, Lye SJ, Tai HH, Challis JR. Differential changes in 15-hydroxyprostaglandin dehydrogenase and prostaglandin H synthase (types I and II) in human pregnant myometrium. J Clin Endocrinol Metab. 2002;87:1345–52.PubMedView ArticleGoogle Scholar
  58. Osmers RG, Blaser J, Kuhn W, Tschesche H. Interleukin-8 synthesis and the onset of labor. Obstet Gynecol. 1995;86:223–9.PubMedView ArticleGoogle Scholar
  59. Myking S, Myhre R, Gjessing HK, Morken NH, Sengpiel V, Williams SM, et al. Candidate gene analysis of spontaneous preterm delivery: new insights from re-analysis of a case-control study using case-parent triads and control-mother dyads. BMC Med Genet. 2011;12:174.PubMedPubMed CentralView ArticleGoogle Scholar
  60. Ferrell G, Lu M, Stoddard P, Sammel MD, Romero R, Strauss 3rd JF, et al. A single nucleotide polymorphism in the promoter of the LOXL1 gene and its relationship to pelvic organ prolapse and preterm premature rupture of membranes. Reprod Sci. 2009;16:438–46.PubMedPubMed CentralView ArticleGoogle Scholar
  61. Pereza N, Pleša I, Peterlin A, Jan Z, Tul N, Kapovic M, et al. Functional polymorphisms of matrix metalloproteinases 1 and 9 genes in women with spontaneous preterm birth. Dis Markers. 2014;2014:171036.PubMedPubMed CentralView ArticleGoogle Scholar
  62. Andraweera PH, Dekker GA, Thompson SD, North RA, McCowan LM, Roberts CT, et al. The interaction between the maternal BMI and angiogenic gene polymorphisms associates with the risk of spontaneous preterm birth. Mol Hum Reprod. 2012;18:459–65.PubMedView ArticleGoogle Scholar
  63. Romero R, Espinoza J, Kusanovic JP, Gotsch F, Hassan S, Erez O, et al. The preterm parturition syndrome. Br J Obstet Gynaecol. 2006;113 Suppl 3:17–42.View ArticleGoogle Scholar
  64. Valdez-Velazquez LL, Quintero-Ramos A, Perez SA, Mendoza-Carrera F, Montoya-Fuentes H, Rivas Jr F, et al. Genetic polymorphisms of the renin-angiotensin system in preterm delivery and premature rupture of membranes. J Renin Angiotensin Aldosterone Syst. 2007;8:160–8.PubMedView ArticleGoogle Scholar
  65. Uma R, Forsyth JS, Struthers AD, Fraser CG, Godfrey V, Murphy DJ. Correlation of angiotensin converting enzyme activity and the genotypes of the I/D polymorphism in the ACE gene with preterm birth and birth weight. Eur J Obstet Gynecol Reprod Biol. 2008;141:27–30.PubMedView ArticleGoogle Scholar
  66. Gibson CS, MacLennan AH, Dekker GA, Goldwater PN, Dambrosia JM, Munroe DJ, et al. Genetic polymorphisms and spontaneous preterm birth. Obstet Gynecol. 2007;109:384–91.PubMedView ArticleGoogle Scholar
  67. Suh YJ, Park HJ, Lee KA, Lee BE, Ha EH, Kim YJ. Associations between genetic polymorphisms of beta-2 adrenergic receptor and preterm delivery in Korean women. Am J Reprod Immunol. 2013;69:85–91.PubMedView ArticleGoogle Scholar
  68. Chen BH, Carmichael SL, Shaw GM, Iovannisci DM, Lammer EJ. Association between 49 infant gene polymorphisms and preterm delivery. Am J Med Genet A. 2007;143A:1990–6.PubMedView ArticleGoogle Scholar
  69. Yu Y, Tsai HJ, Liu X, Mestan K, Zhang S, Pearson C, et al. The joint association between F5 gene polymorphisms and maternal smoking during pregnancy on preterm delivery. Hum Genet. 2009;124:659–68.PubMedView ArticleGoogle Scholar
  70. Uvuz F, Kilic S, Yilmaz N, Tuncay G, Cakar E, Yuksel B, et al. Relationship between preterm labor and thrombophilic gene polymorphism: A prospective sequential cohort study. Gynecol Obstet Invest. 2009;68:234–38.PubMedView ArticleGoogle Scholar
  71. Day LJ, Schaa KL, Ryckman KK, Cooper M, Dagle JM, Fong CT, et al. Single-nucleotide polymorphisms in the KCNN3 gene associate with preterm birth. Reprod Sci. 2011;18:286–95.PubMedPubMed CentralView ArticleGoogle Scholar
  72. Woollett LA. Review: Transport of maternal cholesterol to the fetal circulation. Placenta. 2011;32 Suppl:2S. 218–21.Google Scholar
  73. Kelley RI. Inborn errors of cholesterol biosynthesis. Adv Pediatr. 2000;47:1–53.PubMedGoogle Scholar
  74. Steffen KM, Cooper ME, Shi M, Caprau D, Simhan HN, Dagle JM, et al. Maternal and fetal variation in genes of cholesterol metabolism is associated with preterm delivery. J Perinatol. 2007;27:672–80.PubMedPubMed CentralView ArticleGoogle Scholar
  75. Mudd LM, Holzman CB, Catov JM, Senagore PK, Evans RW. Maternal lipids at mid-pregnancy and the risk of preterm delivery. Acta Obstet Gynecol Scand. 2012;91:726–35.PubMedPubMed CentralView ArticleGoogle Scholar
  76. Lewinska M, Zelenko U, Merzel F, Golic Grdadolnik S, Murray JC, Rozman D. Polymorphisms of CYP51A1 from cholesterol synthesis: associations with birth weight and maternal lipid levels and impact on CYP51 protein structure. PLoS One. 2013;8:e82554.PubMedPubMed CentralView ArticleGoogle Scholar
  77. Liu X, Wang G, Hong X, Tsai HJ, Liu R, Zhang S, et al. Associations between gene polymorphisms in fatty acid metabolism pathway and preterm delivery in a US urban black population. Hum Genet. 2012;131:341–51.PubMedView ArticleGoogle Scholar
  78. Suh YJ, Kim YJ, Park H, Park EA, Ha EH. Oxidative stress-related gene interactions with preterm delivery in Korean women. Am J Obstet Gynecol. 2008;198:541. e1–7.PubMedView ArticleGoogle Scholar
  79. Lee BE, Park H, Park EA, Gwak H, Ha EH, Pang MG, et al. Paraoxonase 1 gene and glutathione S-transferase μ 1 gene interaction with preterm delivery in Korean women. Am J Obstet Gynecol. 2010;203:569. e1–7.PubMedGoogle Scholar
  80. Harley KG, Huen K, Aguilar Schall R, Holland NT, Bradman A, Barr DB, et al. Association of organophosphate pesticide exposure and paraoxonase with birth outcome in Mexican-American women. PLoS One. 2011;6:e23923.PubMedPubMed CentralView ArticleGoogle Scholar
  81. Mustafa MD, Banerjee BD, Ahmed RS, Tripathi AK, Guleria K. Gene-environment interaction in preterm delivery with special reference to organochlorine pesticides. Mol Hum Reprod. 2013;19:35–42.PubMedView ArticleGoogle Scholar
  82. Tsai HJ, Liu X, Mestan K, Yu Y, Zhang S, Fang Y, et al. Maternal cigarette smoking, metabolic gene polymorphisms, and preterm delivery: new insights on GxE interactions and pathogenic pathways. Hum Genet. 2008;123:359–69.PubMedPubMed CentralView ArticleGoogle Scholar
  83. Zhang M, Cheng Y, Dong S, Liu Y, et al. Polymorphisms of GSTM1, GSTT1 and CYP1A1 genes in mothers and neonates related to susceptibility to preterm delivery. Wei Sheng Yan Jiu. 2008;37:155–8.PubMedGoogle Scholar
  84. Luo YJ, Wen XZ, Ding P, He YH, Xie CB, Liu T, et al. Interaction between maternal passive smoking during pregnancy and CYP1A1 and GSTs polymorphisms on spontaneous preterm delivery. PLoS One. 2012;7:e49155.PubMedPubMed CentralView ArticleGoogle Scholar
  85. Zheng X, Feingold E, Ryckman KK, Shaffer JR, Boyd HA, Feenstra B, et al. Association of maternal CNVs in GSTT1/GSTT2 with smoking, preterm delivery, and low birth weight. Front Genet. 2013;4:196.PubMedPubMed CentralView ArticleGoogle Scholar
  86. Gargano JW, Holzman CB, Senagore PK, Reuss ML, Pathak DR, Friderici KH, et al. Polymorphisms in thrombophilia and renin-angiotensin system pathways, preterm delivery, and evidence of placental hemorrhage. Am J Obstet Gynecol. 2009;201:317. e1–9.PubMedPubMed CentralView ArticleGoogle Scholar
  87. Christensen KE, Dahhou M, Kramer MS, Rozen R. The MTHFD1 1958G > A variant is associated with elevated C-reactive protein and body mass index in Canadian women from a premature birth cohort. Mol Genet Metab. 2014;111:390–2.PubMedView ArticleGoogle Scholar
  88. Engel SM, Olshan AF, Siega-Riz AM, Savitz DA, Chanock SJ. Polymorphisms in folate metabolizing genes and risk for spontaneous preterm and small-for-gestational age birth. Am J Obstet Gynecol. 2006;195:1231. e1–11.PubMedView ArticleGoogle Scholar
  89. Meirhaeghe A, Boreham CA, Murray LJ, Richard F, Davey Smith G, Young IS, et al. A possible role for the PPARG Pro12Ala polymorphism in preterm birth. Diabetes. 2007;56:494–8.PubMedView ArticleGoogle Scholar
  90. Manzon L, Altarescu G, Tevet A, Schimmel MS, Elstein D, Samueloff A, et al. Vitamin D receptor polymorphism FokI is associated with spontaneous idiopathic preterm birth in an Israeli population. Eur J Obstet Gynecol Reprod Biol. 2014;177:84–8.PubMedView ArticleGoogle Scholar
  91. Holst D, Garnier Y. Preterm birth and inflammation-The role of genetic polymorphisms. Eur J Obstet Gynecol Reprod Biol. 2008;141:3–9.PubMedView ArticleGoogle Scholar
  92. Moura E, Mattar R, de Souza E, Torloni MR, Gonçalves-Primo A, Daher S. Inflammatory cytokine gene polymorphisms and spontaneous preterm birth. J Reprod Immunol. 2009;80:115–21.PubMedView ArticleGoogle Scholar
  93. Sata F, Toya S, Yamada H, Suzuki K, Saijo Y, Yamazaki A, et al. Proinflammatory cytokine polymorphisms and the risk of preterm birth and low birthweight in a Japanese population. Mol Hum Reprod. 2009;15:121–30.PubMedView ArticleGoogle Scholar
  94. Jones NM, Holzman C, Friderici KH, Jernigan K, Chung H, Wirth J, et al. Interplay of cytokine polymorphisms and bacterial vaginosis in the etiology of preterm delivery. J Reprod Immunol. 2010;87:82–9.PubMedPubMed CentralView ArticleGoogle Scholar
  95. Chaves JH, Babayan A, Bezerra Cde M, Linhares IM, Witkin SS. Maternal and neonatal interleukin-1 receptor antagonist genotype and pregnancy outcome in a population with a high rate of pre-term birth. Am J Reprod Immunol. 2008;60:312–7.PubMedView ArticleGoogle Scholar
  96. Kalinka J, Bitner A. Selected cytokine gene polymorphisms and the risk of preterm delivery in the population of Polish women. Ginekol Pol. 2009;80:111–7.PubMedGoogle Scholar
  97. Jones NM, Holzman C, Tian Y, Witkin SS, Genc M, Friderici K, et al. Innate immune system gene polymorphisms in maternal and child genotype and risk of preterm delivery. J Matern Fetal Neonatal Med. 2012;25:240–7.PubMedView ArticleGoogle Scholar
  98. Velez DR, Menon R, Thorsen P, Jiang L, Simhan H, Morgan N, et al. Ethnic differences in interleukin 6 (IL-6) and IL6 receptor genes in spontaneous preterm birth and effects on amniotic fluid protein levels. Ann Hum Genet. 2007;71:586–600.PubMedView ArticleGoogle Scholar
  99. Velez DR, Fortunato SJ, Williams SM, Menon R. Interleukin-6 (IL-6) and receptor (IL6-R) gene haplotypes associate with amniotic fluid protein concentrations in preterm birth. Hum Mol Genet. 2008;17:1619–30.PubMedView ArticleGoogle Scholar
  100. Sugita N, Kobayashi T, Kikuchi A, Shimada Y, Hirano E, Sasahara J, et al. Immunoregulatory gene polymorphisms in Japanese women with preterm births and periodontitis. J Reprod Immunol. 2012;93:94–101.PubMedView ArticleGoogle Scholar
  101. Stonek F, Metzenbauer M, Hafner E, Philipp K, Tempfer C. Interleukin 6-174 G/C promoter polymorphism and pregnancy complications: results of a prospective cohort study in 1626 pregnant women. Am J Reprod Immunol. 2008;59:347–51.PubMedView ArticleGoogle Scholar
  102. Stonek F, Metzenbauer M, Hafner E, Philipp K, Tempfer C. Interleukin-10 -1082 G/A promoter polymorphism and pregnancy complications: results of a prospective cohort study in 1,616 pregnant women. Acta Obstet Gynecol Scand. 2008;87:430–43.PubMedView ArticleGoogle Scholar
  103. Gomez LM, Sammel MD, Appleby DH, Elovitz MA, Baldwin DA, Jeffcoat MK, et al. Evidence of a gene-environment interaction that predisposes to spontaneous preterm birth: a role for asymptomatic bacterial vaginosis and DNA variants in genes that control the inflammatory response. Am J Obstet Gynecol. 2010;202:386. e1–6.PubMedView ArticleGoogle Scholar
  104. Bitner A, Kalinka J. IL-1β, IL-6 promoter, TNF-α promoter and IL-1RA gene polymorphisms and the risk of preterm delivery due to preterm premature rupture of membranes in a population of Polish women. Arch Med Sci. 2010;6:552–7.PubMedPubMed CentralView ArticleGoogle Scholar
  105. Velez DR, Fortunato S, Thorsen P, Lombardi SJ, Williams SM, Menon R. Spontaneous preterm birth in African Americans is associated with infection and inflammatory response gene variants. Am J Obstet Gynecol. 2009;200:209. e1–27.PubMedView ArticleGoogle Scholar
  106. Heinzmann A, Mailaparambil B, Mingirulli N, Krueger M. Association of interleukin-13/-4 and toll-like receptor 10 with preterm births. Neonatology. 2009;96:175–81.PubMedView ArticleGoogle Scholar
  107. Pu J, Zeng WY. Gene polymorphism of tumor necrosis factor-alpha promoter region in -308 site and premature births in Chinese Han populations. Sichuan Da Xue Xue Bao Yi Xue Ban. 2007;38:984–6.PubMedGoogle Scholar
  108. Pu J, Zeng WY. Gene polymorphism of tumor necrosis factor-alpha receptor II in 196 site and premature births in Chinese Han Population. Sichuan Da Xue Xue Bao Yi Xue Ban. 2010;41:125–7.PubMedGoogle Scholar
  109. Hollegaard MV, Grove J, Thorsen P, Wang X, Mandrup S, Christiansen M, et al. Polymorphisms in the tumor necrosis factor alpha and interleukin 1-beta promoters with possible gene regulatory functions increase the risk of preterm birth. Acta Obstet Gynecol Scand. 2008;87:1285–90.PubMedView ArticleGoogle Scholar
  110. Liang M, Wang X, Li J, Yang F, Fang Z, Wang L, et al. Association of combined maternal-fetal TNF-alpha gene G308A genotypes with preterm delivery: a gene-gene interaction study. J Biomed Biotechnol. 2010;2010:396184.PubMedPubMed CentralGoogle Scholar
  111. Sorokin Y, Varner MW, Iams JD, Dinsmoor M, Mercer BM, Rouse DJ, et al. Cytokine gene polymorphisms and length of gestation. Obstet Gynecol. 2011;117:125–30.PubMedView ArticleGoogle Scholar
  112. Yılmaz Y, Verdi H, Taneri A, Yazıcı AC, Ecevit AN, Karakaş NM, et al. Maternal-fetal proinflammatory cytokine gene polymorphism and preterm birth. DNA Cell Biol. 2012;31:92–7.PubMedView ArticleGoogle Scholar
  113. Drews-Piasecka E, Seremak-Mrozikiewicz A, Barlik M, Kurzawińska G, Wolski H, Woyciechowska A, et al. The significance of TNF-alpha gene polymorphisms in preterm delivery. Ginekol Pol. 2014;85:428–34.PubMedView ArticleGoogle Scholar
  114. Devi SG, Kumar A, Kar P, Husain SA, Sharma S. Association of pregnancy outcome with cytokine gene polymorphisms in HEV infection during pregnancy. J Med Virol. 2014;86:1366–76.PubMedView ArticleGoogle Scholar
  115. Jafarzadeh L, Danesh A, Sadeghi M, Heybati F, Hashemzadeh M. Analysis of Relationship between Tumor Necrosis Factor Alpha Gene (G308A Polymorphism) with Preterm Labor. Int J Prev Med. 2013;4:896–901.PubMedPubMed CentralGoogle Scholar
  116. Krediet TG, Wiertsema SP, Vossers MJ, Hoeks SB, Fleer A, Ruven HJ, et al. Toll-like receptor 2 polymorphism is associated with preterm birth. Pediatr Res. 2007;62:474–86.PubMedView ArticleGoogle Scholar
  117. Rey G, Skowronek F, Alciaturi J, Alonso J, Bertoni B, Sapiro R. Toll receptor 4 Asp299Gly polymorphism and its association with preterm birth and premature rupture of membranes in a South American population. Mol Hum Reprod. 2008;14:555–9.PubMedPubMed CentralView ArticleGoogle Scholar
  118. Bitner A, Sobala W, Kalinka J. Association between maternal and fetal TLR4 (896A > G, 1196C > T) gene polymorphisms and the risk of pre-term birth in the Polish population. Am J Reprod Immunol. 2013;69:272–80.PubMedView ArticleGoogle Scholar
  119. Karody VR, Le M, Nelson S, Meskin K, Klemm S, Simpson P, et al. A TIR domain receptor-associated protein (TIRAP) variant SNP (rs8177374) confers protection against premature birth. J Perinatol. 2013;33:341–6.PubMedView ArticleGoogle Scholar
  120. Kwon HS, Sohn IS, Lee JY, Lee SJ, Kim SN, Kim BJ. Intercellular adhesion molecule-1 K469E polymorphism in Korean patients with spontaneous preterm delivery. Int J Gynaecol Obstet. 2009;104:37–9.PubMedView ArticleGoogle Scholar
  121. Iwanaga R, Sugita N, Hirano E, Sasahara J, Kikuchi A, Tanaka K, et al. FcγRIIB polymorphisms, periodontitis and preterm birth in Japanese pregnant women. J Periodontal Res. 2011;46:292–302.PubMedView ArticleGoogle Scholar
  122. Schmid M, Haslinger P, Stary S, Leipold H, Egarter C, Grimm C. Interleukin-1 beta gene polymorphisms and preterm birth. Eur J Obstet Gynecol Reprod Biol. 2012;165:33–6.PubMedView ArticleGoogle Scholar
  123. Falah N, McElroy J, Snegovskikh V, Lockwood CJ, Norwitz E, Murray JC, et al. Investigation of genetic risk factors for chronic adult diseases for association with preterm birth. Hum Genet. 2013;132:57–67.PubMedView ArticleGoogle Scholar
  124. McElroy JJ, Gutman CE, Shaffer CM, Busch TD, Puttonen H, Teramo K, et al. Maternal coding variants in complement receptor 1 and spontaneous idiopathic preterm birth. Hum Genet. 2013;132:935–42.PubMedView ArticleGoogle Scholar
  125. Wang Y, Yang X, Zheng Y, Wu ZH, Zhang XA, Li QP, et al. The SEPS1 G-105A polymorphism is associated with risk of spontaneous preterm birth in a Chinese population. PLoS One. 2013;8:e65657.PubMedPubMed CentralView ArticleGoogle Scholar
  126. Karjalainen MK, Huusko JM, Tuohimaa A, Luukkonen A, Haataja R, Hallman M. A study of collectin genes in spontaneous preterm birth reveals an association with a common surfactant protein D gene polymorphism. Pediatr Res. 2012;71:93–9.PubMedView ArticleGoogle Scholar
  127. Harmon QE, Engel SM, Olshan AF, Moran T, Stuebe AM, Luo J, et al. Association of polymorphisms in natural killer cell-related genes with preterm birth. Am J Epidemiol. 2013;178:1208–18.PubMedPubMed CentralView ArticleGoogle Scholar
  128. Alleman BW, Myking S, Ryckman KK, Myhre R, Feingold E, Feenstra B, et al. No observed association for mitochondrial SNPs with preterm delivery and related outcomes. Pediatr Res. 2012;72:539–44.PubMedPubMed CentralView ArticleGoogle Scholar
  129. Thota C, Menon R, Wentz MJ, Fortunato SJ, Bartlett J, Drobek CO, et al. A single-nucleotide polymorphism in the fetal catechol-O-methyltransferase gene is associated with spontaneous preterm birth in African Americans. Reprod Sci. 2012;19:135–42.PubMedPubMed CentralView ArticleGoogle Scholar
  130. Enquobahrie DA, Williams MA, Qiu C, Muhie SY, Slentz-Kesler K, Ge Z, Sorenson T. Early pregnancy peripheral blood gene expression and risk of preterm delivery: a nested case control study. BMC Pregnancy Childbirth. 2009;9:56.PubMedPubMed CentralView ArticleGoogle Scholar
  131. Myking S, Boyd HA, Myhre R, Feenstra B, Jugessur A, Devold Pay AS, et al. X-chromosomal maternal and fetal SNPs and the risk of spontaneous preterm delivery in a Danish/Norwegian genome-wide association study. PLoS One. 2013;8:e61781.Google Scholar
  132. Martin JA, Hamilton BE, Osterman MJK, Curtin SC, Mathews TJ. Births: Final Data for 2013. Natl Vital Stat Rep. 2015;64:1–65.Google Scholar

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