Gene-targeted analysis of copy number variants identifies 3 novel associations with coronary heart disease traits.

TitleGene-targeted analysis of copy number variants identifies 3 novel associations with coronary heart disease traits.
Publication TypeJournal Article
Year of Publication2012
AuthorsCostelloe SJ, El-Sayed Moustafa JS, Drenos F, Palmen J, Li Q, Qiao L, Whiting S, Thomas M, Kivimaki M, Kumari M, Hingorani AD, Tzoulaki I, Järvelin M-R, Marjo-Riitta J, Ruokonen A, Aimo R, Hartikainen A-L, Pouta A, Walters RG, Blakemore AIF, Humphries SE, Coin LJM, Talmud PJ
JournalCirc Cardiovasc Genet
Volume5
Issue5
Pagination555-60
Date Published2012 Oct 1
ISSN1942-3268
KeywordsAlgorithms, Apolipoprotein A-I, Apolipoproteins B, Cohort Studies, Coronary Disease, DNA Copy Number Variations, Genome, Human, Genotype, Humans, Interleukin-6, Phenotype, Polymorphism, Single Nucleotide, Sterol Regulatory Element Binding Protein 1, Toll-Like Receptor 4
Abstract

BACKGROUND: Copy number variants (CNVs) are a major form of genomic variation, which may be implicated in complex disease phenotypes. However, investigation of the role of CNVs in coronary heart disease (CHD) traits has been limited.

METHODS AND RESULTS: We examined the use of the cnvHap algorithm for CNV detection, using data for 2500 men from the Second Northwick Park Heart Study (NPHS-II). An Illumina custom chip, including 722 single-nucleotide polymorphisms covering 76 coronary heart disease-trait genes, was used. Common CNVs were significantly associated (at P<0.05, after correction) with coronary heart disease phenotypes in 5 genes. Novel associations of CNVs in toll-like receptor-4 with apolipoprotein AI were replicated (P<0.05) in the Whitehall II cohort (4887 subjects), whereas newly described associations of CNVs in sterol regulatory element-binding protein with apolipoprotein AI and associations of interleukin-6 signal transducer with apolipoprotein B were replicated in the data from 3546 subjects from the North Finnish Birth Cohort 1966 (P<0.05).

CONCLUSIONS: This study supports the use of CNV detection algorithms such as cnvHap as potential tools for the identification of novel CNVs, some of which show significant association and replication with coronary heart disease risk phenotypes. However, the functional basis for these associations requires further substantiation.

DOI10.1161/CIRCGENETICS.111.961037
Alternate JournalCirc Cardiovasc Genet
PubMed ID22972876