Unknown

Dataset Information

0

Multiplexed Targeted Resequencing Identifies Coding and Regulatory Variation Underlying Phenotypic Extremes of High-Density Lipoprotein Cholesterol in Humans.


ABSTRACT: BACKGROUND:Genome-wide association studies have uncovered common variants at many loci influencing human complex traits, such as high-density lipoprotein cholesterol (HDL-C). However, the contribution of the identified genes is difficult to ascertain from current efforts interrogating common variants with small effects. Thus, there is a pressing need for scalable, cost-effective strategies for uncovering causal variants, many of which may be rare and noncoding. METHODS:Here, we used a molecular inversion probe target capture approach to resequence both coding and regulatory regions at 7 HDL-C-associated loci in 797 individuals with extremely high HDL-C versus 735 low-to-normal HDL-C controls. Our targets included protein-coding regions of GALNT2, APOA5, APOC3, SCARB1, CCDC92, ZNF664, CETP, and LIPG (>9 kb) and proximate noncoding regulatory features (>42 kb). RESULTS:Exome-wide genotyping in 1114 of the 1532 participants yielded a >90% genotyping concordance rate with molecular inversion probe-identified variants in ?90% of participants. This approach rediscovered nearly all established genome-wide association studies associations in GALNT2, CETP, and LIPG loci with significant and concordant associations with HDL-C from our phenotypic extremes design at 0.1% of the sample size of lipid genome-wide association studies. In addition, we identified a novel, rare, CETP noncoding variant enriched in the extreme high HDL-C group (P<0.01, score test). CONCLUSIONS:Our targeted resequencing of individuals at the HDL-C phenotypic extremes offers a novel, efficient, and cost-effective approach for identifying rare coding and noncoding variation differences in extreme phenotypes and supports the rationale for applying this methodology to uncover rare variation-particularly noncoding variation-underlying myriad complex traits.

SUBMITTER: Khetarpal SA 

PROVIDER: S-EPMC6050033 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Multiplexed Targeted Resequencing Identifies Coding and Regulatory Variation Underlying Phenotypic Extremes of High-Density Lipoprotein Cholesterol in Humans.

Khetarpal Sumeet A SA   Babb Paul L PL   Zhao Wei W   Hancock-Cerutti William F WF   Brown Christopher D CD   Rader Daniel J DJ   Voight Benjamin F BF  

Circulation. Genomic and precision medicine 20180701 7


<h4>Background</h4>Genome-wide association studies have uncovered common variants at many loci influencing human complex traits, such as high-density lipoprotein cholesterol (HDL-C). However, the contribution of the identified genes is difficult to ascertain from current efforts interrogating common variants with small effects. Thus, there is a pressing need for scalable, cost-effective strategies for uncovering causal variants, many of which may be rare and noncoding.<h4>Methods</h4>Here, we us  ...[more]

Similar Datasets

| S-EPMC5665671 | biostudies-literature
| S-EPMC2682493 | biostudies-literature
| S-EPMC6590868 | biostudies-literature
| S-EPMC10143414 | biostudies-literature
| S-EPMC9238537 | biostudies-literature
| S-EPMC8403308 | biostudies-literature
| S-EPMC9166911 | biostudies-literature
| S-EPMC4076170 | biostudies-literature
| S-EPMC7763787 | biostudies-literature
| S-EPMC7388226 | biostudies-literature