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Excess of Rare Variants in Non–Genome-Wide Association Study Candidate Genes in Patients With Hypertriglyceridemia

Authors :
Adam D. McIntyre
Sekar Kathiresan
Miklós Péterfy
Sonia S. Anand
Laurie H. Glimcher
Margarete Mehrabian
Ann-Hwee Lee
Rebecca A. Martins
Matthew B. Lanktree
Jian Wang
Matthew R. Ban
Robert A. Hegele
Murray W. Huff
Henian Cao
Aldons J. Lusis
Salim Yusuf
Christopher T. Johansen
Source :
Circulation: Cardiovascular Genetics. 5:66-72
Publication Year :
2012
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2012.

Abstract

Background— Rare variant accumulation studies can implicate genes in disease susceptibility when a significant burden is observed in patients versus control subjects. Such analyses might be particularly useful for candidate genes that are selected based on experiments other than genome-wide association studies (GWAS). We sought to determine whether rare variants in non-GWAS candidate genes identified from mouse models and human mendelian syndromes of hypertriglyceridemia (HTG) accumulate in patients with polygenic adult-onset HTG. Methods and Results— We resequenced protein coding regions of 3 genes with established roles ( APOC2, GPIHBP1 , LMF1 ) and 2 genes recently implicated ( CREB3L3 and ZHX3 ) in TG metabolism. We identified 41 distinct heterozygous rare variants, including 29 singleton variants, in the combined sample; in total, we observed 47 rare variants in 413 HTG patients versus 16 in 324 control subjects (odds ratio=2.3; P =0.0050). Post hoc assessment of genetic burden in individual genes using 3 different tests suggested that the genetic burden was most prominent in the established genes LMF1 and APOC2 , and also in the recently identified CREB3L3 gene. Conclusions— These extensive resequencing studies show a significant accumulation of rare genetic variants in non-GWAS candidate genes among patients with polygenic HTG, and indicate the importance of testing specific hypotheses in large-scale resequencing studies.

Details

ISSN :
19423268 and 1942325X
Volume :
5
Database :
OpenAIRE
Journal :
Circulation: Cardiovascular Genetics
Accession number :
edsair.doi.dedup.....6b84d7ddc344524281e582d2993f0100
Full Text :
https://doi.org/10.1161/circgenetics.111.960864