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Genetic basis of falling risk susceptibility in the UK Biobank Study
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 s...
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Published in: | Communications biology 2020-09, Vol.3 (1), p.543-543, Article 543 |
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creator | Trajanoska, Katerina Seppala, Lotta J. Medina-Gomez, Carolina Hsu, Yi-Hsiang Zhou, Sirui van Schoor, Natasja M. de Groot, Lisette C. P. G. M. Karasik, David Richards, J. Brent Kiel, Douglas P. Uitterlinden, Andre G. Perry, John R. B. van der Velde, Nathalie Day, Felix R. Rivadeneira, Fernando |
description | 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 (P
combined
≤ 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.
Katerina Trajanoska et al. report a genome-wide association study of self-reported falls in UK Biobank participants. They identify three novel fall-associated loci and find that risk of falling shows patterns of polygenic inheritance and a SNP-based heritability of 2.7%. |
doi_str_mv | 10.1038/s42003-020-01256-x |
format | article |
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combined
≤ 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.
Katerina Trajanoska et al. report a genome-wide association study of self-reported falls in UK Biobank participants. They identify three novel fall-associated loci and find that risk of falling shows patterns of polygenic inheritance and a SNP-based heritability of 2.7%.</description><identifier>ISSN: 2399-3642</identifier><identifier>EISSN: 2399-3642</identifier><identifier>DOI: 10.1038/s42003-020-01256-x</identifier><identifier>PMID: 32999390</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>45/43 ; 631/208/205 ; 692/499 ; Biomedical and Life Sciences ; Life Sciences</subject><ispartof>Communications biology, 2020-09, Vol.3 (1), p.543-543, Article 543</ispartof><rights>The Author(s) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c446t-d4e2c36e5aa274c3ab3643c4e416d6d62de86938b451806698386ba7327df0263</citedby><cites>FETCH-LOGICAL-c446t-d4e2c36e5aa274c3ab3643c4e416d6d62de86938b451806698386ba7327df0263</cites><orcidid>0000-0002-7276-3387 ; 0000-0001-7999-5538 ; 0000-0002-3746-9086 ; 0000-0001-9435-9441 ; 0000-0002-3792-4296 ; 0000-0002-8826-0530 ; 0000-0003-3789-7651 ; 0000-0003-2778-2789 ; 0000-0001-8474-0310</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527955/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527955/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,37013,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32999390$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Trajanoska, Katerina</creatorcontrib><creatorcontrib>Seppala, Lotta J.</creatorcontrib><creatorcontrib>Medina-Gomez, Carolina</creatorcontrib><creatorcontrib>Hsu, Yi-Hsiang</creatorcontrib><creatorcontrib>Zhou, Sirui</creatorcontrib><creatorcontrib>van Schoor, Natasja M.</creatorcontrib><creatorcontrib>de Groot, Lisette C. P. G. M.</creatorcontrib><creatorcontrib>Karasik, David</creatorcontrib><creatorcontrib>Richards, J. Brent</creatorcontrib><creatorcontrib>Kiel, Douglas P.</creatorcontrib><creatorcontrib>Uitterlinden, Andre G.</creatorcontrib><creatorcontrib>Perry, John R. B.</creatorcontrib><creatorcontrib>van der Velde, Nathalie</creatorcontrib><creatorcontrib>Day, Felix R.</creatorcontrib><creatorcontrib>Rivadeneira, Fernando</creatorcontrib><title>Genetic basis of falling risk susceptibility in the UK Biobank Study</title><title>Communications biology</title><addtitle>Commun Biol</addtitle><addtitle>Commun Biol</addtitle><description>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 (P
combined
≤ 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.
Katerina Trajanoska et al. report a genome-wide association study of self-reported falls in UK Biobank participants. They identify three novel fall-associated loci and find that risk of falling shows patterns of polygenic inheritance and a SNP-based heritability of 2.7%.</description><subject>45/43</subject><subject>631/208/205</subject><subject>692/499</subject><subject>Biomedical and Life Sciences</subject><subject>Life Sciences</subject><issn>2399-3642</issn><issn>2399-3642</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9UT1PwzAQtRCIVqV_gAF5ZAk4tuPECxIUKIhKDNDZchKndZvaxU5Q--8xpFRlQTfcSffeu48HwHmMrmJEsmtPMUIkQhhFKMYJizZHoI8J5xFhFB8f1D0w9H6BEIo554zQU9AjOJSEoz64HyujGl3AXHrtoa1gJetamxl02i-hb32h1o3Oda2bLdQGNnMFpy_wTttcmiV8a9pyewZOAsur4S4PwPTx4X30FE1ex8-j20lUUMqaqKQKF4SpREqc0oLIPKxHCqpozMoQuFQZ4yTLaRJniDGekYzlMiU4LSuEGRmAm0533eYrVRbKNE7WYu30SrqtsFKLvx2j52JmP0Wa4JQnSRC43Ak4-9Eq34iVDgfWtTTKtl5gStOM8ITFAYo7aOGs905V-zExEt8OiM4BERwQPw6ITSBdHC64p_z-OwBIB_ChZWbKiYVtnQlP-0_2CzUgkZA</recordid><startdate>20200930</startdate><enddate>20200930</enddate><creator>Trajanoska, Katerina</creator><creator>Seppala, Lotta J.</creator><creator>Medina-Gomez, Carolina</creator><creator>Hsu, Yi-Hsiang</creator><creator>Zhou, Sirui</creator><creator>van Schoor, Natasja M.</creator><creator>de Groot, Lisette C. 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P. G. M. ; Karasik, David ; Richards, J. Brent ; Kiel, Douglas P. ; Uitterlinden, Andre G. ; Perry, John R. 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Brent</au><au>Kiel, Douglas P.</au><au>Uitterlinden, Andre G.</au><au>Perry, John R. B.</au><au>van der Velde, Nathalie</au><au>Day, Felix R.</au><au>Rivadeneira, Fernando</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic basis of falling risk susceptibility in the UK Biobank Study</atitle><jtitle>Communications biology</jtitle><stitle>Commun Biol</stitle><addtitle>Commun Biol</addtitle><date>2020-09-30</date><risdate>2020</risdate><volume>3</volume><issue>1</issue><spage>543</spage><epage>543</epage><pages>543-543</pages><artnum>543</artnum><issn>2399-3642</issn><eissn>2399-3642</eissn><abstract>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 (P
combined
≤ 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.
Katerina Trajanoska et al. report a genome-wide association study of self-reported falls in UK Biobank participants. They identify three novel fall-associated loci and find that risk of falling shows patterns of polygenic inheritance and a SNP-based heritability of 2.7%.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32999390</pmid><doi>10.1038/s42003-020-01256-x</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-7276-3387</orcidid><orcidid>https://orcid.org/0000-0001-7999-5538</orcidid><orcidid>https://orcid.org/0000-0002-3746-9086</orcidid><orcidid>https://orcid.org/0000-0001-9435-9441</orcidid><orcidid>https://orcid.org/0000-0002-3792-4296</orcidid><orcidid>https://orcid.org/0000-0002-8826-0530</orcidid><orcidid>https://orcid.org/0000-0003-3789-7651</orcidid><orcidid>https://orcid.org/0000-0003-2778-2789</orcidid><orcidid>https://orcid.org/0000-0001-8474-0310</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 45/43 631/208/205 692/499 Biomedical and Life Sciences Life Sciences |
title | Genetic basis of falling risk susceptibility in the UK Biobank Study |
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