04071nas a2200973 4500008004100000022001400041245007600055210006800131260001600199300001200215490000600227520134400233100002101577700001901598700001801617700002401635700002301659700002001682700001701702700001801719700002101737700002101758700002001779700002101799700002101820700002001841700002001861700002101881700002601902700002101928700001201949700002401961700002001985700002402005700001902029700001902048700001802067700002202085700002202107700001802129700002302147700002502170700002002195700002102215700001902236700002402255700002202279700003602301700001902337700001902356700002602375700002002401700002602421700002102447700002002468700002302488700001702511700002102528700002302549700002802572700001902600700001402619700001902633700002302652700002002675700002202695700002402717700001802741700002202759700002402781700002202805700002602827700002402853700001902877700002302896700001702919700002102936700002302957700002002980700002103000700002403021700001603045856003603061 2017 eng d a1945-458900aThe complex genetics of gait speed: genome-wide meta-analysis approach.0 acomplex genetics of gait speed genomewide metaanalysis approach c2017 Jan 10 a209-2460 v93 a
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.
1 aBen-Avraham, Dan1 aKarasik, David1 aVerghese, Joe1 aLunetta, Kathryn, L1 aSmith, Jennifer, A1 aEicher, John, D1 aVered, Rotem1 aDeelen, Joris1 aArnold, Alice, M1 aBuchman, Aron, S1 aTanaka, Toshiko1 aFaul, Jessica, D1 aNethander, Maria1 aFornage, Myriam1 aAdams, Hieab, H1 aMatteini, Amy, M1 aCallisaya, Michele, L1 aSmith, Albert, V1 aYu, Lei1 aDe Jager, Philip, L1 aEvans, Denis, A1 aGudnason, Vilmundur1 aHofman, Albert1 aPattie, Alison1 aCorley, Janie1 aLauner, Lenore, J1 aKnopman, Davis, S1 aParimi, Neeta1 aTurner, Stephen, T1 aBandinelli, Stefania1 aBeekman, Marian1 aGutman, Danielle1 aSharvit, Lital1 aMooijaart, Simon, P1 aLiewald, David, C1 aHouwing-Duistermaat, Jeanine, J1 aOhlsson, Claes1 aMoed, Matthijs1 aVerlinden, Vincent, J1 aMellström, Dan1 avan der Geest, Jos, N1 aKarlsson, Magnus1 aHernandez, Dena1 aMcWhirter, Rebekah1 aLiu, Yongmei1 aThomson, Russell1 aTranah, Gregory, J1 aUitterlinden, André, G1 aWeir, David, R1 aZhao, Wei1 aStarr, John, M1 aJohnson, Andrew, D1 aIkram, Arfan, M1 aBennett, David, A1 aCummings, Steven, R1 aDeary, Ian, J1 aHarris, Tamara, B1 aKardia, Sharon, L R1 aMosley, Thomas, H1 aSrikanth, Velandai, K1 aWindham, Beverly, G1 aNewman, Ann, B1 aWalston, Jeremy, D1 aDavies, Gail1 aEvans, Daniel, S1 aSlagboom, Eline, P1 aFerrucci, Luigi1 aKiel, Douglas, P1 aMurabito, Joanne, M1 aAtzmon, Gil uhttps://chs-nhlbi.org/node/7340