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

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posted on 2017-01-01, 00:00 authored by D Ben-Avraham, D Karasik, J Verghese, K L Lunetta, J A Smith, J D Eicher, R Vered, J Deelen, A M Arnold, A S Buchman, T Tanaka, J D Faul, M Nethander, M Fornage, H H Adams, A M Matteini, M L Callisaya, A V Smith, L Yu, P L De Jager, D A Evans, V Gudnason, A Hofman, A Pattie, J Corley, L J Launer, D S Knopman, N Parimi, S T Turner, S Bandinelli, M Beekman, D Gutman, L Sharvit, S P Mooijaart, D C Liewald, J J Houwing-Duistermaat, C Ohlsson, M Moed, V J Verlinden, D Mellström, J N van der Geest, M Karlsson, D Hernandez, Rebekah McWhirterRebekah McWhirter, Y Liu, R Thomson, G J Tranah, A G Uitterlinden, D R Weir, W Zhao, J M Starr, A D Johnson, M Arfan Ikram, D A Bennett, S R Cummings, I J Deary, T B Harris, S L Sharon, T H Mosley, V K Srikanth, B G Windham, A B Newman, J D Walston, G Davies, D S Evans, E P Slagboom, L Ferrucci, D P Kiel, J M Murabito, G Atzmon
The complex genetics of gait speed: Genome-wide meta-analysis approach

History

Journal

Aging

Volume

9

Issue

1

Pagination

209 - 246

Publisher

Impact Journals LLC

Location

Orchard Park, N.Y.

ISSN

1945-4589

eISSN

1945-4589

Language

eng

Notes

This article has been corrected. See Correction. Aging (Albany NY). 2017; 9:1844-1846. https://doi.org/10.18632/aging.101260

Publication classification

C1 Refereed article in a scholarly journal