| Literature DB >> 33798444 |
Lei Chen1, Haley J Abel2, Indraniel Das3, David E Larson4, Liron Ganel2, Krishna L Kanchi3, Allison A Regier2, Erica P Young5, Chul Joo Kang3, Alexandra J Scott2, Colby Chiang2, Xinxin Wang1, Shuangjia Lu6, Ryan Christ3, Susan K Service7, Charleston W K Chiang8, Aki S Havulinna9, Johanna Kuusisto10, Michael Boehnke11, Markku Laakso10, Aarno Palotie12, Samuli Ripatti13, Nelson B Freimer7, Adam E Locke2, Nathan O Stitziel14, Ira M Hall15.
Abstract
The contribution of genome structural variation (SV) to quantitative traits associated with cardiometabolic diseases remains largely unknown. Here, we present the results of a study examining genetic association between SVs and cardiometabolic traits in the Finnish population. We used sensitive methods to identify and genotype 129,166 high-confidence SVs from deep whole-genome sequencing (WGS) data of 4,848 individuals. We tested the 64,572 common and low-frequency SVs for association with 116 quantitative traits and tested candidate associations using exome sequencing and array genotype data from an additional 15,205 individuals. We discovered 31 genome-wide significant associations at 15 loci, including 2 loci at which SVs have strong phenotypic effects: (1) a deletion of the ALB promoter that is greatly enriched in the Finnish population and causes decreased serum albumin level in carriers (p = 1.47 × 10-54) and is also associated with increased levels of total cholesterol (p = 1.22 × 10-28) and 14 additional cholesterol-related traits, and (2) a multi-allelic copy number variant (CNV) at PDPR that is strongly associated with pyruvate (p = 4.81 × 10-21) and alanine (p = 6.14 × 10-12) levels and resides within a structurally complex genomic region that has accumulated many rearrangements over evolutionary time. We also confirmed six previously reported associations, including five led by stronger signals in single nucleotide variants (SNVs) and one linking recurrent HP gene deletion and cholesterol levels (p = 6.24 × 10-10), which was also found to be strongly associated with increased glycoprotein level (p = 3.53 × 10-35). Our study confirms that integrating SVs in trait-mapping studies will expand our knowledge of genetic factors underlying disease risk.Entities:
Keywords: Finnish population; cardiometabolic traits; genome-wide association study; structural variation
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Year: 2021 PMID: 33798444 PMCID: PMC8059371 DOI: 10.1016/j.ajhg.2021.03.008
Source DB: PubMed Journal: Am J Hum Genet ISSN: 0002-9297 Impact factor: 11.025