Skip to main content

HLA-A, -B, -C, -DRB1 and -DQB1 allele and haplotype frequencies in Lebanese and their relatedness to neighboring and distant populations

Abstract

Background

This study examined the origin of present-day Lebanese using high-resolution HLA class I and class II allele and haplotype distributions. The study subjects comprised 152 unrelated individuals, and their HLA class I and class II alleles and two-locus and five-locus haplotypes were compared with those of neighboring and distant communities using genetic distances, neighbor-joining dendrograms, correspondence, and haplotype analyses. HLA class I (A, B, C) and class II (DRB1, DQB1) were genotyped at a high-resolution level by PCR-SSP.

Results

In total, 76 alleles across the five HLA loci were detected: A*03:01 (17.1%), A*24:02 (16.5%), B*35:01 (25.7%), C*04:01 (25.3%), and C*07:01 (20.7%) were the most frequent class I alleles, while DRB1*11:01 (34.2%) and DQB1*03:01 (43.8%) were the most frequent class II alleles. All pairs of HLA loci were in significant linkage disequilibrium. The most frequent two-locus haplotypes recorded were DRB1*11:01 ~ DQB1*03:01 (30.9%), B*35:01-C*04:01 (20.7%), B*35:01 ~ DRB1*11:01 (13.8%), and A*24:02 ~ B*35:01 (10.3%). Lebanese appear to be closely related to East Mediterranean communities such as Levantines (Palestinians, Syrians, and Jordanians), Turks, Macedonians, and Albanians. However, Lebanese appear to be distinct from North African, Iberian, and Sub-Saharan communities.

Conclusions

Collectively, this indicates a limited genetic contribution of Arabic-speaking populations (from North Africa or the Arabian Peninsula) and Sub-Saharan communities to the present-day Lebanese gene pool. This confirms the notion that Lebanese population are of mixed East Mediterranean and Asian origin, with a marked European component.

Background

The Human Leukocyte Antigen (HLA) system is among the most polymorphic systems in mammals. As of January 23, 2019, 21,499 (15,586 class I and 5,913 class II) alleles of the HLA genes have been reported, of which the B locus with 5,881 alleles is the most polymorphic (http://hla.alleles.org). The HLA region lies on the short arm of chromosome 6 (6p21.3) and harbors in excess of 220 genes involved in diverse functions [1]. The presence of hundreds of genes within a 3.6-Mb distance leads to the bulk transmission of haplotypes due to linkage disequilibrium, defined as the nonrandom (preferential) association between alleles of close loci (http://hla.alleles.org). The HLA genes play a key role in the immune response [1] and the pathogenesis of mostly autoimmune diseases [2,3,4] and are very valuable tools in tracing the history of human migration due to the presence of linkage disequilibrium as well as allelic, genetic, and protein diversity [5, 6].

Lebanon is an East Mediterranean country and, with an area of 10,452 km2, is a small state in mainland Asia. The location of Lebanon at the crossroads of Asia, Europe, and Africa has contributed to its 5,000-year-old history and resulted in a distinct cultural identity marked by religious and ethnic diversity. Lebanon was home to the Phoenicians, who settled the country for almost 3,000 years but were then subject to a wave of invasion, starting with the Assyrians (the seventh century) invading Phoenicia, followed shortly by the Egyptians and, subsequently, Alexander the Great in the fourth century [7]. Following the division of the Roman Empire into the Western Empire and the Eastern Empire (Byzantium), Lebanon fell under Byzantine rule from 395 to 634 [7, 8]. Because of Arab conquest and the capture of Damascus in 635, Lebanon was ruled by the Umayyad (660–750), Abbasid (749–1258), and Fatimid (909–1171) dynasties and, later, by the Ottomans in 1516, who conquered most of present-day Middle East/North Africa until 1918 [7, 8]. The limited Crusades between 1096 and 1271 witnessed the introduction of European influence into Greater Syria (Lebanon, Syria, and Palestine) and the enforcement of Christianity in the mountain regions.

The population of Lebanon (est. 6,859,408) comprises descendants of diverse ethnicities who are either indigenous or have invaded and occupied Lebanon over the past six millennia. This linguistic, religious, and racial diversity is associated with significant admixture, making present-day Lebanon a mosaic of interrelated cultures. This paper investigates the HLA profile of the Lebanese population, which is compared to the profiles of neighboring and distant populations. It is the first to examine both class I and class II profiles and the first to identify common five-locus HLA haplotypes in the Lebanese population.

Results

HLA allele frequencies in the studied population

The distributions of the HLA class I (HLA-A, -B, and -C) and class II (HLA-DRB1 and -DQB1) genotypes in all studied loci (Table 1) were within the Hardy–Weinberg Equilibrium (HWE) in the Lebanese participants. Table 1 shows the frequencies of the HLA-A, -B, -C, -DRB1, and -DQB1 alleles detected in the studied population. In total, 76 HLA alleles were observed in the Lebanese. Among the HLA-A alleles, 17 were identified, of which A*03:01 (17.1%), A*24:02 (16.5%), and A*02:01 (14.5%) were the most frequent. Of the 25 HLA-B alleles identified, B*35:01 (25.7%) and B*18:01 (8.2%) were the most frequent. Fourteen HLA-C alleles were detected, the most frequent being C*04:01 (25.3%), C*07:01 (20.7%), and C*12:01 (14.5%). Thirteen HLA-DRB1 alleles were also detected, of which DRB1*11:01 was the most frequent (34.2%), followed by DRB1*04:01 (12.8%) and DRB1*15:01 (11.5%). Lastly, DQB1*03:01 (43.8%) and DQB1*06:01 (16.5%) were the most common of the seven identified DQB1 alleles. This was comparable to the distribution of Class I and Class II alleles in Europeans and Mediterranean populations.

Table 1 HLA-A, -B, -C -DRB1 and -DQB1 Allele Frequencies in Lebanese population (2n: 304)

Allelic comparison between the Lebanese and other populations

The differences in the typing methods between the study group and reference populations affected the data presentation, notably the calculation of the SGD and the comparison between the populations. The HLA profiles of the 152 Lebanese participants were compared to those of other Arabic-speaking, Mediterranean, and Sub-Saharan populations using high- and low-resolution HLA data; the latter were included because some reference populations lacked high-resolution data. Using DRB1 and DQB1 allele frequencies, standard genetic distance (SGD) analysis identified three clusters (Fig. 1). The first comprised East Mediterranean (pan-Lebanese, Palestinians, Greeks, Syrians, Cretans, Macedonians, Albanians, and Turks), Italians, Iranians, Iraqi Kurds, and Ashkenazi Jews. The second included Iberians, North Africans, Saudis, French, and Egyptians, while the third comprised Sub-Saharans (Bubi, Mandenka, Mossi, Fulani, and Rimaibe). NJ dendrograms identified three populations using SGD based on HLA-A and -B allele frequencies (Fig. 2). The first included East Mediterranean (pan-Lebanese, Palestinians, Cretans, Macedonians, Albanians, Greeks, and Turks), Iranians, Jordanians, Italians, Iraqi Kurds, and Ashkenazi Jews. The second contained Iberians, North Africans, Saudis, and French, while the third contained Sub-Saharans (Fig. 2).

Fig. 1
figure 1

Neighbor-Joining dendrograms (UPGMA), based on Standard genetic distances (SGD), showing relatedness between Lebanese and other populations using HLA-DRB1 and -DQB1 allele frequencies data. Populations’ data were taken from references detailed in Supplementary Table 4. Bootstrap values from 1.000 replicates are shown

Fig. 2
figure 2

Neighbor-Joining dendrograms (UPGMA), based on Standard genetic distances (SGD), showing relatedness between Lebanese and other populations using generic HLA-A and -B allele frequencies data. Populations’ data were taken from references detailed in Supplementary Table 4. Bootstrap values from 1.000 replicates are shown

Using HLA-A, -B, -DRB1, and -DQB1 allele frequencies, SGD identified three clusters (Fig. 3A). The first comprised Iberians, French, North Africans, and Saudis. The second consisted of East Mediterranean (pan-Lebanese, Palestinians, Cretans, Macedonians, Greeks, and Turks), Italians, Iraqi Kurds, and Ashkenazi Jews, while the third contained Sub-Saharan populations (Bubi, Mandenka, Mossi, Fulani, and Rimaibe). Using high-resolution DRB1 data, correspondence analysis depicted three clusters (Fig. 3B). The first grouped West Europeans (Iberians and French), North Africans, Saudis, and Yemenite Jews. The second combined East Mediterraneans (Palestinians, Cretans, Lebanese, Macedonians, and Greeks), Iranians, Italians, Iraqi Kurds, Egyptians, and Ashkenazi Jews, while the third comprised Sub-Saharan populations (Mossi, Fulani, and Rimaibe) (Fig. 3B).

Fig. 3
figure 3

A Correspondence analysis (bi-dimensional representation), based on the standard genetic distances, showing the relationship between Lebanese and worldwide populations according to HLA-A, -B, DRB1, and DQB1 allele frequencies data. Populations data were taken from references detailed in Supplementary Table 5. B Correspondence analysis (bi-dimensional representation), based on the standard genetic distances, showing the relationship between Lebanese and worldwide populations according to High resolution (4-digits) HLA-DRB1 allele frequencies data. Populations data were taken from references detailed in Supplementary Table 4

SGDs between Lebanese and other populations showed an absence of clear discontinuities in terms of the genetic distances between the Lebanese-H and other populations (Supplementary Table 1). Based on the data of A, B, DRB1, and DQB1 loci, SGDs confirmed that Lebanese-H are closer to East Mediterranean than West Mediterranean populations, but distant from Sub-Saharans. SGDs showed that Lebanese-A (8.2 × 10–3), Iraqi Kurds (2.8 × 10–4), Palestinians (4.1 × 10–4), Cretans (4.9 × 10–4), and Turks-A (5.8 × 10–4) have the closest genetic distances to the Lebanese-H. Collectively, this confirms the origin of present-day Lebanese compared to neighboring Mediterranean, Levantine, and European populations.

HLA-A, -B, -DRB1, and -DQB1 LD

The global linkage disequilibrium (LD) estimates of the associations between HLA loci are shown in Supplementary Table 2. All HLA loci pairs showed significant LD, with C:B (D’ = 0.82) and DRB1:DQB1 (D’ = 0.80) having the strongest associations, and C:DQB1 having the lowest value (D’ = 0.33). Intermediate LD estimates were seen in A:B (D’ = 0.59), B:DRB1 (D’ = 0.56), B:DQB1 (D’ = 0.52), and A:C (D’ = 0.50).

Two-locus HLA LD for the four pairs of loci with the highest LD values (A ~ B, B ~ C, B ~ DRB1, and DRB1 ~ DQB1) was next determined (Table 2). The complete list of two-locus HLA haplotypes is found in Supplementary Table 3. Of the 15 A ~ B haplotypes with frequencies exceeding 1%, A*24:02 ~ B*35:01 (10.3%) was the most frequent, with the frequencies of the other A ~ B haplotypes varying between 1.1% and 2.8% (Table 2). Similarly, of the 12 most common B ~ DRB1 haplotypes (frequencies > 1%), B*35:01 ~ DRB1*11:01 (13.8%) was the most frequent, while the frequencies of the other haplotypes did not exceed 4%. Furthermore, among the 17 common B ~ C haplotypes (frequencies > 1%), B*35:01 ~ C*04:01 (20.7%) was the most frequent, with the frequencies of the other haplotypes ranging from 1.3 to 5.6%. Lastly, the most frequent DRB1 ~ DQB1 haplotype detected was DRB1*11:01 ~ DQB1*03:01 (30.9%), followed by DRB1*15:01 ~ DQB1*06:01 (10.5%) and DRB1*03:01 ~ DQB1*02:01 (7.9%) (Table 2).

Table 2 Frequent HLA Class I and Class II two-Locus haplotypes in Lebanese Study Subjects

Class I and class II extended haplotype analysis

Extended class I and class II haplotype analysis using 304 chromosomes from the 152 subjects identified 198 five-locus haplotypes (Table 3), showing the most common extended haplotypes detected in the Lebanese. The most frequent (> 0.9%) five-locus A ~ B ~ C ~ DRB1 ~ DQB1 haplotype was A*24:02 ~ B*35:01 ~ C*04:01 ~ DRB1*11:01 ~ DQB1*03:01 (5.3%), followed by A*02:01 ~ B*52:01 ~ C*12:01 ~ DRB1*15:01 ~ DQB1*06:01 (2.3%) and A*24:02 ~ B*18:01 ~ C*12:01 ~ DRB1*11:01 ~ DQB1*03:01 (2.3%).

Table 3 Frequent five- locus HLA haplotypes in Lebanese population

EWH test of neutrality

The results of the EWH test for the five HLA loci in the Lebanese are shown in Supplementary Table 4. No significant deviation was found for B (P = 0.203), C (P = 0.073), DRB1 (P = 0.180), or DQB1 (P = 0.102) loci; significant deviation was observed only for the A locus (P = 0.025). Negative Fnd values were recorded for the analyzed loci, and the homozygosity was lower than expected under selective neutrality. Significant differences were noted between the observed and expected homozygotes for the DRB1 (P = 0.033) and DQB1 (P = 0.019) loci, indicating an overall trend away from the null hypothesis of neutral evolution, suggesting that the allele frequency distributions at all loci were shaped by balancing selection.

Genetic admixture in Lebanese

The estimation of the genetic contribution rates to the Lebanese was performed using A, B, DRB1, and DQB1 loci from parental populations from Italy (Europe), Pakistan (Asia), Morocco (North Africa), and Mossi (Sub-Saharan Africa) (Table 4). The most notable contribution was seen from Europeans (0.8434 – 1.0742), followed by Asians (0.1566 – 0.2070). The North African and Sub-Saharan contributions to the Lebanese genetic pool were low, as indicated by the negative value of the admixture coefficient established for Mossi (–0.1117 – -0.0273) and Moroccans (-0.2539). Similar results were found regardless of the selected population (Sub-Saharan or North African).

Table 4 Genetic admixture in the Lebanese population

Discussion

Previous reports on the HLA profile of Lebanese focused on class II (DRB1 and DQB1) alleles and haplotype analyses, wherein statistical and anthropological analyses were virtually absent [5, 9,10,11]. This present work used the molecular data of both class I (A, B, C) and class II (DRB1, DQB1) loci in examining the possible origin of present-day Lebanese by analyzing the obtained results from a historical context. Using high-resolution molecular typing, 76 alleles were detected. However, allelic comparison of Lebanese to neighboring and distant populations was not always useful in view of the scarcity or absence of high-resolution data (six digits), mostly in neighboring populations. This limited the comparison to lower-resolution (four digits) levels.

The most common alleles among Lebanese are typically Mediterranean. For example, A*03:01 in the Lebanese participants (17.1%) was found at comparable frequencies in Czechs (18.9%), Croatians (11.8%), Belgians (17.1%), Germans (15.9%), and Georgians (13.8%). Higher frequencies of the A*03:01 allele were reported in Scandinavians such as Swedes (31.3%) and Finns (25.0%) (http://www.allelefrequencies.net). Moreover, A*24:02 (16.5% in Lebanese) was also found at comparable frequencies in Croatians (16.0%), Greek (11.8%), Iranian Kurds (17.6%), Italians (12.2%), and Romanians (12.7%) (http://www.allelefrequencies.net). It should be noted that A*24:02 is very frequent in China, Malaysia, Taiwan, and Japan. A*02:01, another common allele among the Lebanese (14.47%), is also frequent in Moroccans from Metalsa (17.8%), Bulgarians (30.0%), Saudis (13.6%) [Excoffier and Slatkin, 1995], Libyans (15.7%) [12], and Iranians (20.2%) [13].

Furthermore, B*35:01 was the most frequent HLA-B allele in the Lebanese (25.7%), and among the highest in the Mediterranean region. It has been reported to also be high in Iranian Kurds (22.0%), Italians (13.3%), and Romanians (10.1%) (http://www.allelefrequencies.net). Among the HLA-C loci, C*04:01 (25.3%) was the most common allele and is frequent in Iranian Balochs (28.6%) [13], Greeks (19.3%), and Italians (18.8%) (http://www.allelefrequencies.net). Moreover, C*07:01 (20.7%) was the second most common allele in the Lebanese participants and has also been reported for South Italian (20.6%), Greek (18.1%), Tunisian (12.6%), and Turkish (12.3%) populations (http://www.allelefrequencies.net). Furthermore, of the HLA-DRB alleles identified, DRB1*11:01 (34.2%) was frequent in the Lebanese and is also found at high frequencies in Iranians (21.9%), North Italians (20.5%), and Iranian Kurds (19.1%) (http://www.allelefrequencies.net). In addition, DQB1*03:01 (43.8%) was the most frequent HLA-DQB1 allele in the Lebanese and has also been observed at high frequencies in Lebanese from Niha el Shouff (45.1%), Macedonians (35.0%), and Italians (34.9%) (http://www.allelefrequencies.net).

As their genes are separated by a reduced physical distance (PD) of 0.1 Mb, the C:B (D’ = 0.8179) and DRB1:DQB1 (D’ = 0.7971) loci pairs had the highest LD values as compared to the C:DQB1 pair, which had the weakest association (D’ = 0.3343), resulting from the larger PD separating the C and DQB1 genes, which promotes an increased recombination rate. This was reminiscent of earlier studies, which documented that the D’ values are inversely proportional to the PD separating the two loci, as the recombination rate increases with the PD [14, 15]. The higher LD value obtained for A:B (D’ = 0.6031; PD = 1.4 Mb) compared to B:DQB1 (D’ = 0.5234; PD = 1.24 Mb) and A:C (D’ = 0.4974; PD = 1.3) was attributed to the existence of recombination hot spots between specific HLA genes and/or the low levels of polymorphism seen at C and DQB1 loci relative to A and B loci. Furthermore, negative Fnd values were seen for all loci, indicating an overall direction toward balancing selection. This was in agreement with an earlier study documenting balancing selection in A, C, B, DRB1, DQA1, and DQB1 HLA loci, with DQA1 displaying the strongest [16].

Here, A*24:02 ~ B*35:01, B*35:01 ~ DRB1*11:01, B*35:01 ~ C*04:01, and DRB1*11:01 ~ DQB1*03:01 were frequent two-locus haplotypes in the Lebanese participants. While A*24:02 ~ B*35:01 has been reported for Romanians (1.5%) and Taiwanese (1.8%), B*35:01 ~ C*04:01 is frequent in Irish (5.2%), Italian (4.9%), Tunisian (4.0%), and Malian (7.7%) populations (http://www.allelefrequencies.net). Furthermore, B*35:01 ~ DRB1*11:01 is also seen in Italians (1.02%), while DRB1*11:01 ~ DQB1*03:01 is a frequent two-locus haplotype in Iranians (18.5%), Germans (14.4%), Italians (5.4%), and Tunisians (7.0%) (http://www.allelefrequencies.net). The high D' values and DRB1 ~ DQB1 and B ~ C haplotype frequencies (compared to the B ~ DRB1 and A ~ B haplotypes) in the Lebanese were attributed to the reduced PDs between the B ~ C and DQB1 ~ DRB1 loci, resulting in decreased recombination between these genes. Furthermore, the most frequent extended haplotype (A*24:02 ~ B*35:01 ~ C*04:01 ~ DRB1*11:01 ~ DQB1*03:01; 5.3%) has been reported in its two-field form (A*24:02 ~ B*35:01 ~ C*04:01 ~ DRB1*11:01 ~ DQB1*03:01) in Turkish (0.2%) and Italian German minorities (0.04%) and Indian (0.5%) populations (http://www.allelefrequencies.net). In addition, A*02:01 ~ B*52:01 ~ C*12:01:01 ~ DRB1*15:01 ~ DQB1*06:01 and A*24:02 ~ B*18:01 ~ C*12:01 ~ DRB1*11:01 ~ DQB1*03:01 frequencies in Lebanese are the highest reported for any population.

Our analysis showed that the Lebanese participants were closely related to East Mediterranean (Turks, Albanians, Macedonians, Greeks, and Cretans), Levantine Arab (Syrians, Jordanians, and Palestinians), and Mesopotamian (Iraqis) populations. This can be explained by the fact that East Mediterranean countries share, with slight differences, a similar history and the same territory [17]. The Eastern Mediterranean Basin was historically characterized by high migratory flow between its sub-regions in all directions and in different periods (Greeks, Romans, and Ottomans). This favored admixture, reduced distances, and homogenized the Great Levant populations. The relatedness between the Levantine Arab populations is attributed to their close geographical proximity, which constituted one territory before the nineteenth-century British and French colonization. It is also attributed to their common ancient Canaanite ancestry, originating from East Africa or the Arabian Peninsula via Egypt in 3300 BC [18] and settling in the Levantine lowlands following the collapse of the Ghassulian civilization in 3800–3350 BC [19].

Based on data from A, B, DRB1, and DQB1 loci, admixture analysis showed that most (up to 84%) of the genetic contribution to the Lebanese gene pool is derived from Europeans, with low genetic contributions from other regions, including the Arabian Peninsula, suggesting a low contribution of Arabs and Sub-Saharans to the Lebanese gene pool. This is in accord with the other analyses carried out in this work. Using high-resolution data, the analysis of the five HLA loci confirmed that the Lebanese are distant from North African (Tunisians, Moroccans, and Algerians), Iberian (Basques, Murcians, and Spaniards), and Arabian Peninsula (Saudis, Kuwaitis, and Emiratis) populations. This suggests a lack of contribution of North African and Arabian Peninsula populations to the gene pool of the Lebanese despite the Phoenicians’ invasion and long colonization of North Africa and the Arab conquest of Lebanon from as early as the seventh century, prompting speculation of "elite colonization" [20].

Conclusions

In conclusion, our study based on NJ dendrograms, genetic distances, LD, admixture, and correspondence analyses showed that the Lebanese are related to Levantines, Eastern Mediterraneans, and Mesopotamians but are distinct from North African, Iberian, Saudi, and Sub-Saharan communities. Our study has shortcomings, namely the relatively low sample size (152 subjects), and lack of genotyping for HLA-DP locus due to purely financial reasons as the typing kit used (SSP2L) handles DRB1 and DQB1 only. Future studies aimed at typing larger number of subjects and additional HLA loci (DPB1, DQA1) are planned. The contribution of Arab Muslims and Sub-Saharans to the Lebanese gene pool seems weak. The results of this work are consistent with those found in our previous studies [5, 14, 21,22,23].

Methods

Study subjects

The study subjects comprised 152 unrelated healthy Lebanese individuals of both sexes (90 males and 62 females), who were randomly collected from the five provinces and the six major religious groups of Lebanon. These comprised hospital and university staff, blood donors, and volunteers from the community. None of the study particiants suffered from any acute or chronic disease, including neurologic, cardiac, or metabolic diseases, and were not on any medication at the time of specimen collection. The individuals were subjected to HLA class I and class II high-resolution genotyping and phylogenetic calculations. The origins of the other populations included for comparative purposes are detailed in Supplementary Table 5. Written informed consent to participate in the study was obtained from all participants; the Research & Ethics committees of St. Marc Medical Center and St. Georges University Hospital approved the study protocol in accordance with the Declaration of Helsinki.

HLA genotyping

The Qiagen mini-spin column extraction kit was used to extract genomic DNA from EDTA-anticoagulated venous blood according to the manufacturer's instructions (Qiagen, Hilden, Germany). Low-resolution HLA-A, HLA-B, HLA-C, HLA-DRB1, and DQB1 typing was performed using generic polymerase chain reaction with sequence-specific primers (PCR-SSP) kits (One Lambda, Thousand Oaks, CA), while high-resolution typing was performed by PCR-SSP using SSP1L (class I) and SSP2L (class II) HLA genotyping kits according to the manufacturer’s specifications (Luminex–One Lambda, Canoga Park, CA).

Statistical analysis

Python for Population Genomics (version 0.7.0, http://www.pypop.org) was used to perform Hardy–Weinberg tests, HLA allele frequency gene counts, pairwise linkage disequilibrium (LD) estimates [24, 25], and Ewens–Watterson homozygosity (EWH) tests. A test of homozygosity was applied to each locus using Slatkin’s Monte Carlo implementation of the exact test [26, 27]. The LD between alleles, haplotype frequencies [28], level of significance (P), chi-squared test, and relative LD (D′) were determined by the Arlequin software, version 2.0.1 [29, 30]. The admixture proportions were estimated by the ADMIX95 program (www.genetica.fmed.edu.uy/software.htm) [31]. The three-dimensional correspondence analysis and bi-dimensional representation were carried out using the VISTA V7.2.8 software [32]. Correspondence analysis and neighbor-joining (NJ) trees were constructed [33] with standard genetic distances (SGDs) [34] using the DISPAN software [35].

Availability of data and materials

The data contained in this study are available at the Dryad Data Repository, and can be accessed at: Almawi, Wassim (2022), HLA class I and class II allelic profile of healthy Lebanese population, Dryad, Dataset, https://doi.org/10.5061/dryad.1vhhmgqw2.

Abbreviations

EWH:

Ewens–Watterson homozygosity

HLA:

Human Leukocyte Antigen

HWE:

Hardy–Weinberg Equilibrium

LD:

Linkage disequilibrium

NJ:

Neighbor-joining

PCR-SSP:

Polymerase chain reaction with sequence-specific primers

SGD:

Standard genetic distance

References

  1. Marrack P, Kappler J. The antigen-specific, major histocompatibility complex-restricted receptor on T cells. Adv Immunol. 1986;38:1–30.

    Article  CAS  Google Scholar 

  2. Al-Jenaidi FA, Wakim-Ghorayeb SF, Al-Abbasi A, Arekat MR, Irani-Hakime N, Najm P, et al. Contribution of selective HLA-DRB1/DQB1 alleles and haplotypes to the genetic susceptibility of type 1 diabetes among Lebanese and Bahraini Arabs. J Clin Endocrinol Metab. 2005;90:5104–9.

    Article  CAS  Google Scholar 

  3. Hajjej A, Almawi WY, Stayoussef M, Arnaiz-Villena A, Hattab L, Hmida S. Association of HLA-DRB1 and -DQB1 alleles with type 1 (autoimmune) diabetes in African Arabs: systematic review and meta-analysis. Immunol Invest. 2019;48:130–46.

    Article  Google Scholar 

  4. Lagha A, Messadi A, Boussaidi S, Kochbati S, Tazeghdenti A, Ghazouani E, et al. HLA DRB1/DQB1 alleles and DRB1-DQB1 haplotypes and the risk of rheumatoid arthritis in Tunisians: a population-based case-control study. HLA. 2016;88:100–9.

    Article  CAS  Google Scholar 

  5. Almawi WY, Busson M, Tamim H, Al-Harbi EM, Finan RR, Wakim-Ghorayeb SF, et al. HLA class II profile and distribution of HLA-DRB1 and HLA-DQB1 alleles and haplotypes among Lebanese and Bahraini Arabs. Clin Diagn Lab Immunol. 2004;11:770–4.

    CAS  PubMed  PubMed Central  Google Scholar 

  6. Nei M. Phylogenetic analysis in molecular evolutionary genetics. Annu Rev Genet. 1996;30:371–403.

    Article  CAS  Google Scholar 

  7. Haber M, Nassar J, Almarri MA, Saupe T, Saag L, Griffith SJ, et al. A genetic history of the Near East from an aDNA time course sampling eight points in the past 4,000 years. Am J Hum Genet. 2020;107:149–57.

    Article  CAS  Google Scholar 

  8. Marriner N, Morhange C, Kaniewski D, Carayon N. Ancient harbour infrastructure in the Levant: tracking the birth and rise of new forms of anthropogenic pressure. Sci Rep. 2014;4:5554.

    Article  CAS  Google Scholar 

  9. Khansa S, Hoteit R, Shammaa D, Abdel Khalek R, El Halas H, Greige L, et al. HLA class II allele frequencies in the Lebanese population. Gene. 2012;506:396–9.

    Article  CAS  Google Scholar 

  10. Matevosyan L, Chattopadhyay S, Madelian V, Avagyan S, Nazaretyan M, Hyussian A, et al. HLA-A, HLA-B, and HLA-DRB1 allele distribution in a large Armenian population sample. Tissue Antigens. 2011;78:21–30.

    Article  CAS  Google Scholar 

  11. Samaha H, Rahal EA, Abou-Jaoude M, Younes M, Dacchache J, Hakime N. HLA class II allele frequencies in the Lebanese population. Mol Immunol. 2003;39:1079–81.

    Article  CAS  Google Scholar 

  12. Galgani A, Mancino G, Martínez-Labarga C, Cicconi R, Mattei M, Amicosante M, et al. HLA-A, -B and -DRB1 allele frequencies in Cyrenaica population (Libya) and genetic relationships with other populations. Hum Immunol. 2013;74:52–9.

    Article  CAS  Google Scholar 

  13. Farjadian S, Naruse T, Kawata H, Ghaderi A, Bahram S, Inoko H. Molecular analysis of HLA allele frequencies and haplotypes in Baloch of Iran compared with related populations of Pakistan. Tissue Antigens. 2004;64:581–7.

    Article  CAS  Google Scholar 

  14. Hajjej A, Almawi WY, Hattab L, El-Gaaied A, Hmida S. The investigation of the origin of Southern Tunisians using HLA genes. J Hum Genet. 2017;62:419–29.

    Article  CAS  Google Scholar 

  15. Kawashima M, Ohashi J, Nishida N, Tokunaga K. Evolutionary analysis of classical HLA class I and II genes suggests that recent positive selection acted on DPB1*04:01 in Japanese population. PLoS ONE. 2012;7:e46806.

    Article  CAS  Google Scholar 

  16. Solberg OD, Mack SJ, Lancaster AK, Single RM, Tsai Y, Sanchez-Mazas A, et al. Balancing selection and heterogeneity across the classical human leukocyte antigen loci: a meta-analytic review of 497 population studies. Hum Immunol. 2008;69:443–64.

    Article  CAS  Google Scholar 

  17. Sartre M. D'Alexandre à Zénobie : Histoire du Levant antique, IVe siècle avant Jésus-Christ-IIIe siècle après Jésus-Christ, Fayard. 2001.

  18. Sallon S, Cherif E, Chabrillange N, Solowey E, Gros-Balthazard M, Ivorra S, et al. Origins and insights into the historic Judean date palm based on genetic analysis of germinated ancient seeds and morphometric studies. Sci Adv. 2020;6:eaax0384.

    Article  CAS  Google Scholar 

  19. Hitti PK. History of Syria: including Lebanon and Palestine. 2004. p. 26.

    Google Scholar 

  20. Arnaiz-Villena A, Gomez-Casado E, Martinez-Laso J. Population genetic relationships between Mediterranean populations determined by HLA allele distribution and a historic Perspective. Tissue Antigens. 2002;60:111–21.

    Article  CAS  Google Scholar 

  21. Hajjej A, Hajjej G, Almawi WY, Kaabi H, El-Gaaied A, Hmida S. HLA class I and class II polymorphism in a population from south-eastern Tunisia (Gabes Area). Int J Immunogenet. 2011;38:191–9.

    Article  CAS  Google Scholar 

  22. Hajjej A, Almawi WY, Hattab L, El-Gaaied A, Hmida S. HLA Class I and Class II alleles and haplotypes confirm the Berber origin of the present day Tunisian population. PLoS One. 2015;10:e0136909.

    Article  Google Scholar 

  23. Hajjej A, Almawi WY, Arnaiz-Villena A, Hattab L, Hmida S. The genetic heterogeneity of Arab populations as inferred from HLA genes. PLoS One. 2018;13:e0192269.

    Article  Google Scholar 

  24. Lancaster AK, Nelson MP, Single RM, Meyer D, Thomson G. PyPop: a software framework for population genomics: analyzing large-scale multi-locus genotype data. In: Altman RB, Dunker K, Hunter L, Jung T, Klein T, editors. Pacific Symposium on Biocomputing 8. Singapore: World Scientific; 2003. p. 514–25.

    Google Scholar 

  25. Lancaster AK, Single RM, Solberg OD, Nelson MP, Thomson G. PyPop update - a software pipeline for large-scale multilocus population genomics. Tissue Antigens. 2007;69:192–7.

    Article  CAS  Google Scholar 

  26. Desai MM, Nicolaisen LE, Walczak AM, Plotkin JB. The structure of allelic diversity in the presence of purifying selection. Theor Popul Biol. 2012;81:144–57.

    Article  Google Scholar 

  27. Watterson G. The homozygosity test of neutrality. Genetics. 1978;88:405–17.

    Article  CAS  Google Scholar 

  28. Excoffier L, Slatkin M. Maximum-likelihood estimation of molecular haplotype frequencies in a diploid population. Mol Biol Evol. 1995;12:921–7.

    CAS  PubMed  Google Scholar 

  29. Excoffier L, Laval G, Schneider S. Arlequin (version 3.0): an integrated software package for population genetics data analysis. Evol Bioinform Online. 2007;1:47–50.

    PubMed  PubMed Central  Google Scholar 

  30. Jun J-H, Hwang K, Kim S-K, Oh H-B, Cho M-C, Lee K-J. Estimation of the 6-digit level allele and haplotype frequencies of HLA-A, -B, and -C in Koreans using ambiguity-solving DNA typing. Tissue Antigens. 2014;84:277–84.

    Article  CAS  Google Scholar 

  31. Rodriguez-Flores JL, Fakhro K, Agosto-Perez F, Ramstetter MD, Arbiza L, Vincent TL, et al. Indigenous Arabs are descendants of the earliest split from ancient Eurasian populations. Genome Res. 2016;26:151–62.

    Article  CAS  Google Scholar 

  32. Young FW, Bann CM. A visual statistics system. In: Stine RA, Fox J, editors. Statistical computing environments for social researches. New York: Sage publications; 1996. p. 207–36.

    Google Scholar 

  33. Gascuel O, Steel M. Neighbor-joining revealed. Mol Biol Evol. 2006;23:1997–2000.

    Article  CAS  Google Scholar 

  34. Telles MP, Diniz-Filho JA. Multiple Mantel tests and isolation-by-distance, taking into account long-term historical divergence. Genet Mol Res. 2005;4:742–8.

    PubMed  Google Scholar 

  35. Nei M, Tajima Y, Tateno Y. Accuracy of estimated phylogenetic trees from molecular data. II. Gene frequency data. J Mol Evol. 1983;19:153–70.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

The authors did not receive support from any organization for the submitted work, or for preparation of this manuscript.

Author information

Authors and Affiliations

Authors

Contributions

WYA, conception and design of study, final revision of the manuscript; AH, Writing – original draft, software, formal analysis; RN, data curation, resources; RRF, data curation, validation; FLS, formal analysis, methodology. The author(s) read and approved the final manuscript.

Authors’ information

Not applicable.

Corresponding author

Correspondence to Wassim Y. Almawi.

Ethics declarations

Ethics approval and consent to participate

The Research & Ethics committees of St. Marc Medical Center and St. Georges University Hospital approved the study protocol in accordance with the Declaration of Helsinki. All subjects consented to participate by signing an informed consent form.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Supplementary Table 1

Standard genetic distances (SGD) between Lebanese and other populations.

Additional file 2: Supplementary Table 2

Pairwise global linkage disequilibrium (LD) estimates.

Additional file 3: Supplementary Table 3

Complete list of HLA two-Locus haplotypes in Lebanese.

Additional file 4: Supplementary Table 4

Ewens-Watterson homozygosity test of neutrality.

Additional file 5: Supplementary Table 5

Populations used in the present work.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Almawi, W.Y., Nemr, R., Finan, R.R. et al. HLA-A, -B, -C, -DRB1 and -DQB1 allele and haplotype frequencies in Lebanese and their relatedness to neighboring and distant populations. BMC Genomics 23, 456 (2022). https://doi.org/10.1186/s12864-022-08682-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12864-022-08682-7

Keywords