TY - JOUR
T1 - Genome-wide analysis of copy number variants and normal facial variation in a large cohort of Bantu Africans
AU - Null, Megan
AU - Yilmaz, Feyza
AU - Astling, David
AU - Yu, Hung Chun
AU - Cole, Joanne B.
AU - Hallgrímsson, Benedikt
AU - Santorico, Stephanie A.
AU - Spritz, Richard A.
AU - Shaikh, Tamim H.
AU - Hendricks, Audrey E.
N1 - Publisher Copyright:
© 2021 The Authors
PY - 2022/1/13
Y1 - 2022/1/13
N2 - 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) genome-wide 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 (r2 ≥ 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 × 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 × 10−6, 55 losses and seven gains) contains NFATC1, 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.
AB - 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) genome-wide 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 (r2 ≥ 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 × 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 × 10−6, 55 losses and seven gains) contains NFATC1, 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.
KW - African
KW - Bantu
KW - CNV
KW - copy number variants
KW - face shape
KW - normal facial variation
UR - http://www.scopus.com/inward/record.url?scp=85122306344&partnerID=8YFLogxK
U2 - 10.1016/j.xhgg.2021.100082
DO - 10.1016/j.xhgg.2021.100082
M3 - Article
C2 - 35047866
AN - SCOPUS:85122306344
VL - 3
JO - Human Genetics and Genomics Advances
JF - Human Genetics and Genomics Advances
IS - 1
M1 - 100082
ER -