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Table 2 CNV statistics using GenomeSTRiP and cn.MOPS algorithms

From: Copy number variation in human genomes from three major ethno-linguistic groups in Africa

Parameter

GenomeSTRiP

cn.MOPS

GenomeSTRiP that overlap cn.MOPS

Raw CNV regions (CNVR)

16,149

9213

 

CNVR after QC

11,275

2115

7608

Total CNV scored

127,699

37,679

106,922

Deletion CNV

65,588

26,008

61,025

Gain CNV

62,111

11,671

45,897

Mean CNV count per CNVR

11.3

17.8

14.0

Mean CNVR per individual

654

193

548

Count of overlapping CNVRs a

7608

1691

7608

Mean Length of CNVR (kb)

9.5

541.7

10.7

SD length of CNVR (kb)

13.2

1287.6

14.1

Median Length of CNVR (kb)

5.3

32.4

6

Total Length of CNVR (Mb)

108.1

1145.8

81.2

Observed Length CNV present in both methods (Mb) (Simulated ± SD)b

81.2 (43.4 ± 1.0)

  1. Descriptive statistics of CNVR found using GenomeSTRiP and cn.MOPS. Note that: GenomeSTRiP has about 5.3 times the number of CNVs compared with cn.MOPS (11,275 cf. 2115); GenomeSTRiP CNVRs were shorter (median length 5.3 kb) than cn.MOPS (median length 32.4 kb); Total length of cn.MOPS CNVRs was about 10.6 times greater (1146 Mb cf. 108 Mb) than GenomeSTRiP CNVRs. CNVR = CNV region; a genomic location with chromosome, start and end base pair positions that has overlapping CNVs; CNVRs after QC = The CNVRs left after some CNVRs were dropped because they were only found in samples that were outliers in principal component analysis (PCA) plots of raw data. CNV count per CNVR = Number of samples with a CNV at each CNV region = Total CNVs count/ Total CNVRs; Mean CNVRs per sample = Count of CNV divided by number of samples; Mean, Standard deviation, Median, Total length, Observed length: Calculated per CNV not CNVR
  2. aCount of any overlap (minimum 1 bp) between GenomeSTRiP and cn.MOPS CNVR
  3. bThe expected length of CNVs that would be found by both methods was obtained by 100 simulations using all the observed lengths of CNVs allocated to random places in the genome