| Literature DB >> 23808484 |
Logan Dumitrescu1, Cara L Carty, Nora Franceschini, Lucia A Hindorff, Shelley A Cole, Petra Bůžková, Fredrick R Schumacher, Charles B Eaton, Robert J Goodloe, David J Duggan, Jeff Haessler, Barbara Cochran, Brian E Henderson, Iona Cheng, Karen C Johnson, Chris S Carlson, Shelly-Ann Love, Kristin Brown-Gentry, Alejandro Q Nato, Miguel Quibrera, Garnet Anderson, Ralph V Shohet, José Luis Ambite, Lynne R Wilkens, Loïc Le Marchand, Christopher A Haiman, Steven Buyske, Charles Kooperberg, Kari E North, Myriam Fornage, Dana C Crawford.
Abstract
Numerous common genetic variants that influence plasma high-density lipoprotein cholesterol, low-density lipoprotein cholesterol (LDL-C), and triglyceride distributions have been identified via genome-wide association studies (GWAS). However, whether or not these associations are age-dependent has largely been overlooked. We conducted an association study and meta-analysis in more than 22,000 European Americans between 49 previously identified GWAS variants and the three lipid traits, stratified by age (males: <50 or ≥50 years of age; females: pre- or postmenopausal). For each variant, a test of heterogeneity was performed between the two age strata and significant Phet values were used as evidence of age-specific genetic effects. We identified seven associations in females and eight in males that displayed suggestive heterogeneity by age (Phet < 0.05). The association between rs174547 (FADS1) and LDL-C in males displayed the most evidence for heterogeneity between age groups (Phet = 1.74E-03, I(2) = 89.8), with a significant association in older males (P = 1.39E-06) but not younger males (P = 0.99). However, none of the suggestive modifying effects survived adjustment for multiple testing, highlighting the challenges of identifying modifiers of modest SNP-trait associations despite large sample sizes.Entities:
Keywords: PAGE; age; genetic association; lipids; modifier
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Year: 2013 PMID: 23808484 PMCID: PMC3796061 DOI: 10.1111/ahg.12027
Source DB: PubMed Journal: Ann Hum Genet ISSN: 0003-4800 Impact factor: 1.670