TY - JOUR
T1 - Heritability and genome-wide association analyses of human gait suggest contribution of common variants
AU - Adams, Hieab H. H.
AU - Verlinden, Vincentius J. A.
AU - Callisaya, Michele L.
AU - Duijn, Cornelia M. van
AU - Hofman, Albert
AU - Thomson, Russell
AU - Uitterlinden, Andre G.
AU - Vernooij, Meike W.
AU - Geest, Jos N. van der
AU - Srikanth, Velandai
AU - Ikram, M. Arfan
PY - 2016
Y1 - 2016
N2 - Human gait is a complex neurological and musculoskeletal function, of which the genetic basis remains largely unknown. To determine the influence of common genetic variants on gait parameters, we studied 2,946 participants of the Rotterdam Study, a population-based cohort of unrelated elderly individuals. We assessed 30 gait parameters using an electronic walkway, which yielded seven independent gait domains after principal component analysis. Genotypes of participants were imputed to the 1,000 Genomes reference panel for generating genetic relationship matrices to estimate heritability of gait parameters, and for subsequent genome-wide association scans (GWASs) to identify specific variants. Gait domains with the highest age- and sex-adjusted heritability were Variability (h2 = 61%), Rhythm (37%), and Tandem (32%). For other gait domains, heritability estimates attenuated after adjustment for height and weight. Genome-wide association scans identified a variant on 1p22.3 that was significantly associated with single support time, a variable from the Rhythm domain (rs72953990; N = 2,946; β [SE] = 0.0069 (0.0012), p = 2.30×10−8). This variant did not replicate in an independent sample (N = 362; p = .78). In conclusion, human gait has highly heritable components that are explained by common genetic variation, which are partly attributed to height and weight. Collaborative efforts are needed to identify robust single variant associations for the heritable parameters.
AB - Human gait is a complex neurological and musculoskeletal function, of which the genetic basis remains largely unknown. To determine the influence of common genetic variants on gait parameters, we studied 2,946 participants of the Rotterdam Study, a population-based cohort of unrelated elderly individuals. We assessed 30 gait parameters using an electronic walkway, which yielded seven independent gait domains after principal component analysis. Genotypes of participants were imputed to the 1,000 Genomes reference panel for generating genetic relationship matrices to estimate heritability of gait parameters, and for subsequent genome-wide association scans (GWASs) to identify specific variants. Gait domains with the highest age- and sex-adjusted heritability were Variability (h2 = 61%), Rhythm (37%), and Tandem (32%). For other gait domains, heritability estimates attenuated after adjustment for height and weight. Genome-wide association scans identified a variant on 1p22.3 that was significantly associated with single support time, a variable from the Rhythm domain (rs72953990; N = 2,946; β [SE] = 0.0069 (0.0012), p = 2.30×10−8). This variant did not replicate in an independent sample (N = 362; p = .78). In conclusion, human gait has highly heritable components that are explained by common genetic variation, which are partly attributed to height and weight. Collaborative efforts are needed to identify robust single variant associations for the heritable parameters.
KW - gait
KW - gait in humans
KW - genetic disorders
KW - genomes
UR - http://handle.uws.edu.au:8081/1959.7/uws:34979
U2 - 10.1093/gerona/glv081
DO - 10.1093/gerona/glv081
M3 - Article
SN - 1079-5006
VL - 71
SP - 740
EP - 746
JO - Journals of Gerontology. Series A: Biological Sciences and Medical Sciences
JF - Journals of Gerontology. Series A: Biological Sciences and Medical Sciences
IS - 6
ER -