Genetic basis of falling risk susceptibility in the UK Biobank Study

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作者
Katerina Trajanoska
Lotta J. Seppala
Carolina Medina-Gomez
Yi-Hsiang Hsu
Sirui Zhou
Natasja M. van Schoor
Lisette C. P. G. M. de Groot
David Karasik
J. Brent Richards
Douglas P. Kiel
Andre G. Uitterlinden
John R. B. Perry
Nathalie van der Velde
Felix R. Day
Fernando Rivadeneira
机构
[1] Erasmus MC University Medical Center,Department of Internal Medicine
[2] University of Amsterdam,Department of Internal Medicine, Section of Geriatric Medicine, Academic Medical Center
[3] Hebrew SeniorLife,Hinda and Arthur Marcus Institute for Aging Research
[4] Broad Institute of MIT and Harvard,Molecular and Integrative Physiological Sciences
[5] Harvard School of Public Health,Lady Davis Institute, Jewish General Hospital
[6] McGill University,Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute
[7] VU University Medical Center,Azrieli Faculty of Medicine
[8] Wageningen University,Department of Human Genetics
[9] Division of Human Nutrition,Departments of Medicine and Epidemiology, Biostatistics and Occupational Health
[10] PO-box 17,Department of Medicine
[11] Bar-Ilan University,MRC Epidemiology Unit
[12] McGill University,undefined
[13] McGill University,undefined
[14] Beth Israel Deaconess Medical Center and Harvard Medical School,undefined
[15] University of Cambridge School of Clinical Medicine,undefined
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Communications Biology | / 3卷
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摘要
Both extrinsic and intrinsic factors predispose older people to fall. We performed a genome-wide association analysis to investigate how much of an individual’s fall susceptibility can be attributed to genetics in 89,076 cases and 362,103 controls from the UK Biobank Study. The analysis revealed a small, but significant SNP-based heritability (2.7%) and identified three novel fall-associated loci (Pcombined ≤ 5 × 10−8). Polygenic risk scores in two independent settings showed patterns of polygenic inheritance. Risk of falling had positive genetic correlations with fractures, identifying for the first time a pathway independent of bone mineral density. There were also positive genetic correlations with insomnia, neuroticism, depressive symptoms, and different medications. Negative genetic correlations were identified with muscle strength, intelligence and subjective well-being. Brain, and in particular cerebellum tissue, showed the highest gene expression enrichment for fall-associated variants. Overall, despite the highly heterogenic nature underlying fall risk, a proportion of the susceptibility can be attributed to genetics.
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