Genome-wide analysis of copy number variants and normal facial variation in a large cohort of Bantu Africans

被引:2
|
作者
Null, Megan [1 ,2 ]
Yilmaz, Feyza [3 ,4 ]
Astling, David [5 ]
Yu, Hung-Chun [3 ]
Cole, Joanne B. [3 ,6 ]
Hallgrimsson, Benedikt [7 ]
Santorico, Stephanie A. [1 ,6 ,8 ]
Spritz, Richard A. [3 ,6 ]
Shaikh, Tamim H. [3 ,6 ]
Hendricks, Audrey E. [1 ,6 ,8 ]
机构
[1] Univ Colorado, Math & Stat Sci, Denver, CO 80204 USA
[2] Coll Idaho, Dept Math & Phys Sci, Caldwell, ID 83605 USA
[3] Univ Colorado, Dept Pediat, Anschutz Med Campus, Aurora, CO 80045 USA
[4] Univ Colorado, Dept Integrat Biol, Denver, CO 80204 USA
[5] Univ Colorado, Dept Biochem & Mol Genet, Anschutz Med Campus, Aurora, CO 80045 USA
[6] Univ Colorado, Human Med Genet & Genom Program, Anschutz Med Campus, Aurora, CO 80045 USA
[7] Univ Calgary, Alberta Children Hosp, Cumming Sch Med, Dept Cell Biol & Anat,Res Inst, Calgary, AB T2N 1N4, Canada
[8] Colorado Sch Publ Hlth, Biostat & Informat, Aurora, CO 80045 USA
来源
基金
美国国家卫生研究院;
关键词
STRUCTURAL VARIATION; VARIATION REVEALS; ASSOCIATION; MODEL; MAP;
D O I
10.1016/j.xhgg.2021.100082
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Similarity in facial characteristics between relatives suggests a strong genetic component underlies facial variation. While there have been numerous studies of the genetics of facial abnormalities and, more recently, single nucleotide polymorphism (SNP) genomewide association studies (GWASs) of normal facial variation, little is known about the role of genetic structural variation in determining facial shape. In a sample of Bantu African children, we found that only 9% of common copy number variants (CNVs) and 10-kb CNV analysis windows are well tagged by SNPs (r(2) > 0.8), indicating that associations with our internally called CNVs were not captured by previous SNP-based GWASs. Here, we present a GWAS and gene set analysis of the relationship between normal facial variation and CNVs in a sample of Bantu African children. We report the top five regions, which had p values < 9.35 x 10(-6) and find nominal evidence of independent CNV association (p < 0.05) in three regions previously identified in SNP-based GWASs. The CNV region with strongest association (p = 1.16 x 10(-6), 55 losses and seven gains) contains NFATCI, which has been linked to facial morphogenesis and Cherubism, a syndrome involving abnormal lower facial development. Genomic loss in the region is associated with smaller average lower facial depth. Importantly, new loci identified here were not identified in a SNP-based GWAS, suggesting that CNVs are likely involved in determining facial shape variation. Given the plethora of SNP-based GWASs, calling CNVs from existing data may be a relatively inexpensive way to aid in the study of complex traits.
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页数:12
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