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GWAS Study

Heritability and Genome-Wide Association Analyses of Human Gait Suggest Contribution of Common Variants.

Adams HH, Verlinden VJ, Callisaya ML et al.

26219847 PubMed ID
GWAS Study Type
2946 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

AH
Adams HH
VV
Verlinden VJ
CM
Callisaya ML
VD
van Duijn CM
HA
Hofman A
TR
Thomson R
UA
Uitterlinden AG
VM
Vernooij MW
VD
van der Geest JN
SV
Srikanth V
IM
Ikram MA
Chapter II

Abstract

Summary of the research findings

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 (h (2) = 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.

2,946 individuals

Chapter III

Study Statistics

Key metrics and study information

2946
Total Participants
GWAS
Study Type
No
Replicated
Netherlands
Recruitment Country
Chapter IV

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