The complex genetics of gait speed: genome-wide meta-analysis approach.

TitleThe complex genetics of gait speed: genome-wide meta-analysis approach.
Publication TypeJournal Article
Year of Publication2017
AuthorsBen-Avraham, D, Karasik, D, Verghese, J, Lunetta, KL, Eicher, JD, Vered, R, Deelen, J, Arnold, AM, Aron S. Buchman, Tanaka, T, Faul, JD, Nethander, M, Fornage, M, Adams, HH, Matteini, AM, Callisaya, ML, Smith, AVernon, Yu, L, De Jager, PL, Evans, DA, Gudnason, V, Hofman, A, Pattie, A, Corley, J, Launer, LJ, Knopman, DS, Parimi, N, Turner, ST, Bandinelli, S, Beekman, M, Gutman, D, Sharvit, L, Mooijaart, SP, Liewald, DC, Houwing-Duistermaat, JJ, Ohlsson, C, Moed, M, Verlinden, VJ, Mellström, D, van der Geest, JN, Karlsson, M, Hernandez, D, McWhirter, R, Liu, Y, Thomson, R, Tranah, GJ, Uitterlinden, AG, Weir, DR, Zhao, W, Starr, JM, M Ikram, A, Bennett, DA, Cummings, SR, Deary, IJ, Harris, TB, Kardia, SLR, Mosley, TH, Srikanth, VK, Windham, BG, Newman, AB, Walston, JD, Davies, G, Evans, DS, Slagboom, EP, Ferrucci, L, Kiel, DP, Murabito, JM, Atzmon, G
JournalAging (Albany NY)
Volume9
Issue1
Pagination209-246
ISSN Number1945-4589
KeywordsGenetics, GWAS
Abstract

Emerging evidence suggests that the basis for variation in late-life mobility is attributable, in part, to genetic factors, which may become increasingly important with age. Our objective was to systematically assess the contribution of genetic variation to gait speed in older individuals. We conducted a meta-analysis of gait speed GWASs in 31,478 older adults from 17 cohorts of the CHARGE consortium, and validated our results in 2,588 older adults from 4 independent studies. We followed our initial discoveries with network and eQTL analysis of candidate signals in tissues. The meta-analysis resulted in a list of 536 suggestive genome wide significant SNPs in or near 69 genes. Further interrogation with Pathway Analysis placed gait speed as a polygenic complex trait in five major networks. Subsequent eQTL analysis revealed several SNPs significantly associated with the expression of PRSS16, WDSUB1 and PTPRT, which in addition to the meta-analysis and pathway suggested that genetic effects on gait speed may occur through synaptic function and neuronal development pathways. No genome-wide significant signals for gait speed were identified from this moderately large sample of older adults, suggesting that more refined physical function phenotypes will be needed to identify the genetic basis of gait speed in aging.

DOI10.18632/aging.101151
User Guide Notes

http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract

Alternate JournalAging (Albany NY)
Citation Key9172
PubMed ID28077804
PubMed Central IDPMC5310665
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