You are here
Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations.
Wednesday,2015-03-04 12:30 America/Los_Angeles — zdrager
| Title | Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations. |
| Publication Type | Journal Article |
| Year of Publication | 2014 |
| Authors | Ganesh, SK, Chasman, DI, Larson, MG, Guo, X, Verwoert, G, Bis, JC, Gu, X, Smith, AV, Yang, M-L, Zhang, Y, Ehret, G, Rose, LM, Hwang, S-J, Papanicolau, GJ, Sijbrands, EJ, Rice, K, Eiriksdottir, G, Pihur, V, Ridker, PM, Vasan, RS, Newton-Cheh, C, Raffel, LJ, Amin, N, Rotter, JI, Liu, K, Launer, LJ, Xu, M, Caulfield, M, Morrison, AC, Johnson, AD, Vaidya, D, Dehghan, A, Li, G, Bouchard, C, Harris, TB, Zhang, H, Boerwinkle, E, Siscovick, DS, Gao, W, Uitterlinden, AG, Rivadeneira, F, Hofman, A, Willer, CJ, Franco, OH, Huo, Y, Witteman, JCM, Munroe, PB, Gudnason, V, Palmas, W, van Duijn, C, Fornage, M, Levy, D, Psaty, BM, Chakravarti, A |
| Corporate/Institutional Authors | Global Blood Pressure Genetics Consortium |
| Journal | Am J Hum Genet |
| Volume | 95 |
| Issue | 1 |
| Pagination | 49-65 |
| Date Published | 2014 Jul 03 |
| ISSN | 1537-6605 |
| Keywords | Blood Pressure, Genome-Wide Association Study, Humans, Longitudinal Studies, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci |
| Abstract | <p>Blood pressure (BP) is a heritable, quantitative trait with intraindividual variability and susceptibility to measurement error. Genetic studies of BP generally use single-visit measurements and thus cannot remove variability occurring over months or years. We leveraged the idea that averaging BP measured across time would improve phenotypic accuracy and thereby increase statistical power to detect genetic associations. We studied systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP) averaged over multiple years in 46,629 individuals of European ancestry. We identified 39 trait-variant associations across 19 independent loci (p < 5 × 10(-8)); five associations (in four loci) uniquely identified by our LTA analyses included those of SBP and MAP at 2p23 (rs1275988, near KCNK3), DBP at 2q11.2 (rs7599598, in FER1L5), and PP at 6p21 (rs10948071, near CRIP3) and 7p13 (rs2949837, near IGFBP3). Replication analyses conducted in cohorts with single-visit BP data showed positive replication of associations and a nominal association (p < 0.05). We estimated a 20% gain in statistical power with long-term average (LTA) as compared to single-visit BP association studies. Using LTA analysis, we identified genetic loci influencing BP. LTA might be one way of increasing the power of genetic associations for continuous traits in extant samples for other phenotypes that are measured serially over time.</p> |
| DOI | 10.1016/j.ajhg.2014.06.002 |
| Alternate Journal | Am. J. Hum. Genet. |
| PubMed ID | 24975945 |
| PubMed Central ID | PMC4085637 |
| Grant List | G9521010 / / Medical Research Council / United Kingdom G1000143 / / Medical Research Council / United Kingdom UL1 TR000124 / TR / NCATS NIH HHS / United States R01 HL105756 / HL / NHLBI NIH HHS / United States P30 DK063491 / DK / NIDDK NIH HHS / United States 14136 / / Cancer Research UK / United Kingdom G0401527 / / Medical Research Council / United Kingdom MR/K006584/1 / / Medical Research Council / United Kingdom |