The association between intelligence and lifespan is mostly genetic
Several studies in the new field of cognitive epidemiology have shown that higher intelligence predicts longer lifespan. This positive correlation might arise from socioeconomic status influencing both intelligence and health; intelligence leading to better health behaviours; and/or some shared gene...
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| Veröffentlicht in: | International journal of epidemiology 2016-02, Vol.45 (1), p.178-185 |
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| creator | Arden, Rosalind Luciano, Michelle Deary, Ian J Reynolds, Chandra A Pedersen, Nancy L Plassman, Brenda L McGue, Matt Christensen, Kaare Visscher, Peter M |
| description | Several studies in the new field of cognitive epidemiology have shown that higher intelligence predicts longer lifespan. This positive correlation might arise from socioeconomic status influencing both intelligence and health; intelligence leading to better health behaviours; and/or some shared genetic factors influencing both intelligence and health. Distinguishing among these hypotheses is crucial for medicine and public health, but can only be accomplished by studying a genetically informative sample.
We analysed data from three genetically informative samples containing information on intelligence and mortality: Sample 1, 377 pairs of male veterans from the NAS-NRC US World War II Twin Registry; Sample 2, 246 pairs of twins from the Swedish Twin Registry; and Sample 3, 784 pairs of twins from the Danish Twin Registry. The age at which intelligence was measured differed between the samples. We used three methods of genetic analysis to examine the relationship between intelligence and lifespan: we calculated the proportion of the more intelligent twins who outlived their co-twin; we regressed within-twin-pair lifespan differences on within-twin-pair intelligence differences; and we used the resulting regression coefficients to model the additive genetic covariance. We conducted a meta-analysis of the regression coefficients across the three samples.
The combined (and all three individual samples) showed a small positive phenotypic correlation between intelligence and lifespan. In the combined sample observed r = .12 (95% confidence interval .06 to .18). The additive genetic covariance model supported a genetic relationship between intelligence and lifespan. In the combined sample the genetic contribution to the covariance was 95%; in the US study, 84%; in the Swedish study, 86%, and in the Danish study, 85%.
The finding of common genetic effects between lifespan and intelligence has important implications for public health, and for those interested in the genetics of intelligence, lifespan or inequalities in health outcomes including lifespan. |
| doi_str_mv | 10.1093/ije/dyv112 |
| format | Article |
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We analysed data from three genetically informative samples containing information on intelligence and mortality: Sample 1, 377 pairs of male veterans from the NAS-NRC US World War II Twin Registry; Sample 2, 246 pairs of twins from the Swedish Twin Registry; and Sample 3, 784 pairs of twins from the Danish Twin Registry. The age at which intelligence was measured differed between the samples. We used three methods of genetic analysis to examine the relationship between intelligence and lifespan: we calculated the proportion of the more intelligent twins who outlived their co-twin; we regressed within-twin-pair lifespan differences on within-twin-pair intelligence differences; and we used the resulting regression coefficients to model the additive genetic covariance. We conducted a meta-analysis of the regression coefficients across the three samples.
The combined (and all three individual samples) showed a small positive phenotypic correlation between intelligence and lifespan. In the combined sample observed r = .12 (95% confidence interval .06 to .18). The additive genetic covariance model supported a genetic relationship between intelligence and lifespan. In the combined sample the genetic contribution to the covariance was 95%; in the US study, 84%; in the Swedish study, 86%, and in the Danish study, 85%.
The finding of common genetic effects between lifespan and intelligence has important implications for public health, and for those interested in the genetics of intelligence, lifespan or inequalities in health outcomes including lifespan.</description><identifier>ISSN: 0300-5771</identifier><identifier>ISSN: 1464-3685</identifier><identifier>EISSN: 1464-3685</identifier><identifier>DOI: 10.1093/ije/dyv112</identifier><identifier>PMID: 26213105</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Denmark - epidemiology ; Female ; Genetic Epidemiology ; Humans ; Intelligence - genetics ; Life Expectancy ; Male ; Medicin och hälsovetenskap ; Meta-Analysis as Topic ; Middle Aged ; Registries ; Regression Analysis ; Sex Characteristics ; Socioeconomic Factors ; Sweden - epidemiology ; Twins, Dizygotic - genetics ; Twins, Monozygotic - genetics ; United States - epidemiology ; Veterans</subject><ispartof>International journal of epidemiology, 2016-02, Vol.45 (1), p.178-185</ispartof><rights>The Author 2015; Published by Oxford University Press on behalf of the International Epidemiological Association.</rights><rights>The Author 2015; Published by Oxford University Press on behalf of the International Epidemiological Association 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-6570b0daa26eb22e9652b23b2fb9972ea7eac14294f48beaf343756ca02f93a73</citedby><cites>FETCH-LOGICAL-c499t-6570b0daa26eb22e9652b23b2fb9972ea7eac14294f48beaf343756ca02f93a73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,554,782,786,887,27933,27934</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26213105$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:133519615$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Arden, Rosalind</creatorcontrib><creatorcontrib>Luciano, Michelle</creatorcontrib><creatorcontrib>Deary, Ian J</creatorcontrib><creatorcontrib>Reynolds, Chandra A</creatorcontrib><creatorcontrib>Pedersen, Nancy L</creatorcontrib><creatorcontrib>Plassman, Brenda L</creatorcontrib><creatorcontrib>McGue, Matt</creatorcontrib><creatorcontrib>Christensen, Kaare</creatorcontrib><creatorcontrib>Visscher, Peter M</creatorcontrib><title>The association between intelligence and lifespan is mostly genetic</title><title>International journal of epidemiology</title><addtitle>Int J Epidemiol</addtitle><description>Several studies in the new field of cognitive epidemiology have shown that higher intelligence predicts longer lifespan. This positive correlation might arise from socioeconomic status influencing both intelligence and health; intelligence leading to better health behaviours; and/or some shared genetic factors influencing both intelligence and health. Distinguishing among these hypotheses is crucial for medicine and public health, but can only be accomplished by studying a genetically informative sample.
We analysed data from three genetically informative samples containing information on intelligence and mortality: Sample 1, 377 pairs of male veterans from the NAS-NRC US World War II Twin Registry; Sample 2, 246 pairs of twins from the Swedish Twin Registry; and Sample 3, 784 pairs of twins from the Danish Twin Registry. The age at which intelligence was measured differed between the samples. We used three methods of genetic analysis to examine the relationship between intelligence and lifespan: we calculated the proportion of the more intelligent twins who outlived their co-twin; we regressed within-twin-pair lifespan differences on within-twin-pair intelligence differences; and we used the resulting regression coefficients to model the additive genetic covariance. We conducted a meta-analysis of the regression coefficients across the three samples.
The combined (and all three individual samples) showed a small positive phenotypic correlation between intelligence and lifespan. In the combined sample observed r = .12 (95% confidence interval .06 to .18). The additive genetic covariance model supported a genetic relationship between intelligence and lifespan. In the combined sample the genetic contribution to the covariance was 95%; in the US study, 84%; in the Swedish study, 86%, and in the Danish study, 85%.
The finding of common genetic effects between lifespan and intelligence has important implications for public health, and for those interested in the genetics of intelligence, lifespan or inequalities in health outcomes including lifespan.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Denmark - epidemiology</subject><subject>Female</subject><subject>Genetic Epidemiology</subject><subject>Humans</subject><subject>Intelligence - genetics</subject><subject>Life Expectancy</subject><subject>Male</subject><subject>Medicin och hälsovetenskap</subject><subject>Meta-Analysis as Topic</subject><subject>Middle Aged</subject><subject>Registries</subject><subject>Regression Analysis</subject><subject>Sex Characteristics</subject><subject>Socioeconomic Factors</subject><subject>Sweden - epidemiology</subject><subject>Twins, Dizygotic - genetics</subject><subject>Twins, Monozygotic - genetics</subject><subject>United States - epidemiology</subject><subject>Veterans</subject><issn>0300-5771</issn><issn>1464-3685</issn><issn>1464-3685</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>D8T</sourceid><recordid>eNqNkktrGzEUhUVJaRy3m_6AMstQmERXT2tTKCZNAoFu3LXQaO44SsYjdzS28b-PjB9NFoGuJHS-c5CuDiFfgV4BNfw6POF1vV0DsA9kBEKJkquJPCMjyiktpdZwTi5SeqIUhBDmEzlnigEHKkdkOnvEwqUUfXBDiF1R4bBB7IrQDdi2YY6dz0BXF21oMC1dVlKxiGlot0UWcQj-M_nYuDbhl8M6Jn9-3cymd-XD79v76c-H0gtjhlJJTStaO8cUVoyhUZJVjFesqYzRDJ1G50EwIxoxqdA1XHAtlXeUNYY7zcek3OemDS5XlV32YeH6rY0u2MPRc96hlQBaycybd_llH-t_pqMROJdgFOy8P_beDCyw9tgNvWvfRrxRuvBo53FthTZSSpMDLg8Bffy7wjTYRUg-j9R1GFfJgp5IxjU3k_9AtZCcSrMbwfc96vuYUo_N6UZA7a4MNpfB7suQ4W-v33BCj7_PXwBRBrNV</recordid><startdate>20160201</startdate><enddate>20160201</enddate><creator>Arden, Rosalind</creator><creator>Luciano, Michelle</creator><creator>Deary, Ian J</creator><creator>Reynolds, Chandra A</creator><creator>Pedersen, Nancy L</creator><creator>Plassman, Brenda L</creator><creator>McGue, Matt</creator><creator>Christensen, Kaare</creator><creator>Visscher, Peter M</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7T2</scope><scope>7U2</scope><scope>C1K</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope></search><sort><creationdate>20160201</creationdate><title>The association between intelligence and lifespan is mostly genetic</title><author>Arden, Rosalind ; Luciano, Michelle ; Deary, Ian J ; Reynolds, Chandra A ; Pedersen, Nancy L ; Plassman, Brenda L ; McGue, Matt ; Christensen, Kaare ; Visscher, Peter M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c499t-6570b0daa26eb22e9652b23b2fb9972ea7eac14294f48beaf343756ca02f93a73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Denmark - epidemiology</topic><topic>Female</topic><topic>Genetic Epidemiology</topic><topic>Humans</topic><topic>Intelligence - genetics</topic><topic>Life Expectancy</topic><topic>Male</topic><topic>Medicin och hälsovetenskap</topic><topic>Meta-Analysis as Topic</topic><topic>Middle Aged</topic><topic>Registries</topic><topic>Regression Analysis</topic><topic>Sex Characteristics</topic><topic>Socioeconomic Factors</topic><topic>Sweden - epidemiology</topic><topic>Twins, Dizygotic - genetics</topic><topic>Twins, Monozygotic - genetics</topic><topic>United States - epidemiology</topic><topic>Veterans</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Arden, Rosalind</creatorcontrib><creatorcontrib>Luciano, Michelle</creatorcontrib><creatorcontrib>Deary, Ian J</creatorcontrib><creatorcontrib>Reynolds, Chandra A</creatorcontrib><creatorcontrib>Pedersen, Nancy L</creatorcontrib><creatorcontrib>Plassman, Brenda L</creatorcontrib><creatorcontrib>McGue, Matt</creatorcontrib><creatorcontrib>Christensen, Kaare</creatorcontrib><creatorcontrib>Visscher, Peter M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><jtitle>International journal of epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Arden, Rosalind</au><au>Luciano, Michelle</au><au>Deary, Ian J</au><au>Reynolds, Chandra A</au><au>Pedersen, Nancy L</au><au>Plassman, Brenda L</au><au>McGue, Matt</au><au>Christensen, Kaare</au><au>Visscher, Peter M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The association between intelligence and lifespan is mostly genetic</atitle><jtitle>International journal of epidemiology</jtitle><addtitle>Int J Epidemiol</addtitle><date>2016-02-01</date><risdate>2016</risdate><volume>45</volume><issue>1</issue><spage>178</spage><epage>185</epage><pages>178-185</pages><issn>0300-5771</issn><issn>1464-3685</issn><eissn>1464-3685</eissn><abstract>Several studies in the new field of cognitive epidemiology have shown that higher intelligence predicts longer lifespan. This positive correlation might arise from socioeconomic status influencing both intelligence and health; intelligence leading to better health behaviours; and/or some shared genetic factors influencing both intelligence and health. Distinguishing among these hypotheses is crucial for medicine and public health, but can only be accomplished by studying a genetically informative sample.
We analysed data from three genetically informative samples containing information on intelligence and mortality: Sample 1, 377 pairs of male veterans from the NAS-NRC US World War II Twin Registry; Sample 2, 246 pairs of twins from the Swedish Twin Registry; and Sample 3, 784 pairs of twins from the Danish Twin Registry. The age at which intelligence was measured differed between the samples. We used three methods of genetic analysis to examine the relationship between intelligence and lifespan: we calculated the proportion of the more intelligent twins who outlived their co-twin; we regressed within-twin-pair lifespan differences on within-twin-pair intelligence differences; and we used the resulting regression coefficients to model the additive genetic covariance. We conducted a meta-analysis of the regression coefficients across the three samples.
The combined (and all three individual samples) showed a small positive phenotypic correlation between intelligence and lifespan. In the combined sample observed r = .12 (95% confidence interval .06 to .18). The additive genetic covariance model supported a genetic relationship between intelligence and lifespan. In the combined sample the genetic contribution to the covariance was 95%; in the US study, 84%; in the Swedish study, 86%, and in the Danish study, 85%.
The finding of common genetic effects between lifespan and intelligence has important implications for public health, and for those interested in the genetics of intelligence, lifespan or inequalities in health outcomes including lifespan.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>26213105</pmid><doi>10.1093/ije/dyv112</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | International journal of epidemiology, 2016-02, Vol.45 (1), p.178-185 |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; SWEPUB Freely available online; Oxford University Press Journals All Titles (1996-Current); Alma/SFX Local Collection |
| subjects | Adult Aged Aged, 80 and over Denmark - epidemiology Female Genetic Epidemiology Humans Intelligence - genetics Life Expectancy Male Medicin och hälsovetenskap Meta-Analysis as Topic Middle Aged Registries Regression Analysis Sex Characteristics Socioeconomic Factors Sweden - epidemiology Twins, Dizygotic - genetics Twins, Monozygotic - genetics United States - epidemiology Veterans |
| title | The association between intelligence and lifespan is mostly genetic |
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