Adams Hieab H H, Verlinden Vincentius J A, Callisaya Michele L, van Duijn Cornelia M, Hofman Albert, Thomson Russell, Uitterlinden André G, Vernooij Meike W, van der Geest Jos N, Srikanth Velandai, Ikram M Arfan
Department of Epidemiology and Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Department of Epidemiology and.
J Gerontol A Biol Sci Med Sci. 2016 Jun;71(6):740-6. doi: 10.1093/gerona/glv081. Epub 2015 Jul 28.
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.
人类步态是一种复杂的神经和肌肉骨骼功能,其遗传基础在很大程度上仍不为人知。为了确定常见基因变异对步态参数的影响,我们研究了鹿特丹研究中的2946名参与者,这是一个基于人群的非亲属老年人队列。我们使用电子步道评估了30个步态参数,主成分分析后得出了七个独立的步态领域。将参与者的基因型推算到千人基因组参考面板,以生成遗传关系矩阵来估计步态参数的遗传力,并进行后续的全基因组关联扫描(GWAS)以识别特定变异。年龄和性别调整后遗传力最高的步态领域是变异性(h² = 61%)、节奏(37%)和串联(32%)。对于其他步态领域,在对身高和体重进行调整后,遗传力估计值减弱。全基因组关联扫描在1p22.3上发现了一个与单支撑时间显著相关的变异,单支撑时间是节奏领域的一个变量(rs72953990;N = 2946;β[SE] = 0.0069(0.0012),p = 2.30×10⁻⁸)。这个变异在一个独立样本中未能重复验证(N = 362;p = 0.78)。总之,人类步态具有高度可遗传的成分,这些成分由常见的基因变异解释,部分归因于身高和体重。需要共同努力来识别可遗传参数的稳健单变异关联。