The genetic component of discrete disability traits: an analysis using liability models with age-dependent thresholds
The presence of familial and genetic effects in the Activities-of-Daily-Life (ADL) data collected in the first wave of the 1995 Longitudinal Study of Aging of Danish Twins (LSADT) older than 75 is tested using multithreshold liability models of disability with age-dependent thresholds. These models...
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| Veröffentlicht in: | Behavior genetics 1998-05, Vol.28 (3), p.207-214, Article 207 |
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| creator | Yashin, A I Iachine, I A Christensen, K Holm, N V Vaupel, J W |
| description | The presence of familial and genetic effects in the Activities-of-Daily-Life (ADL) data collected in the first wave of the 1995 Longitudinal Study of Aging of Danish Twins (LSADT) older than 75 is tested using multithreshold liability models of disability with age-dependent thresholds. These models are developed for discrete scores represented by five disability scales of male and female Danish twins. The presence of familial effects is revealed in all five scales of disability data for females and in three scales of data for males. Genetic effects are found to be significant in all four levels of aggregation of the Upper Limb-T (T = tiredness) disability scale for females and in the PADL-H (H = need for help) scale for males. Genetic effects are also pronounced in the Mobility-T scale for females and in the Lower Limb-T scale for males and females. For females, the genetic effects in the T-scale seem to be more pronounced than in the H-scale. For males, genetic effects are more pronounced in the H-scale. The estimates for MZ correlations in liability tend to be higher than the estimates for DZ correlations in almost all cases, which suggests that additional genetic effects may be revealed should the sample size of the ADL data be increased. |
| doi_str_mv | 10.1023/A:1021475230871 |
| format | Article |
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These models are developed for discrete scores represented by five disability scales of male and female Danish twins. The presence of familial effects is revealed in all five scales of disability data for females and in three scales of data for males. Genetic effects are found to be significant in all four levels of aggregation of the Upper Limb-T (T = tiredness) disability scale for females and in the PADL-H (H = need for help) scale for males. Genetic effects are also pronounced in the Mobility-T scale for females and in the Lower Limb-T scale for males and females. For females, the genetic effects in the T-scale seem to be more pronounced than in the H-scale. For males, genetic effects are more pronounced in the H-scale. The estimates for MZ correlations in liability tend to be higher than the estimates for DZ correlations in almost all cases, which suggests that additional genetic effects may be revealed should the sample size of the ADL data be increased.</description><identifier>ISSN: 0001-8244</identifier><identifier>EISSN: 1573-3297</identifier><identifier>DOI: 10.1023/A:1021475230871</identifier><identifier>PMID: 9670596</identifier><language>eng</language><publisher>United States: Springer Nature B.V</publisher><subject>Activities of Daily Living - classification ; Age Factors ; Aged ; Aged, 80 and over ; Aging - genetics ; Cohort Studies ; Confidence Intervals ; Cross-Sectional Studies ; Denmark ; Disabled Persons - statistics & numerical data ; Family Health ; Female ; Humans ; Likelihood Functions ; Linear Models ; Male ; Models, Genetic ; Severity of Illness Index ; Twins, Dizygotic ; Twins, Monozygotic</subject><ispartof>Behavior genetics, 1998-05, Vol.28 (3), p.207-214, Article 207</ispartof><rights>Plenum Publishing Corporation 1998</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c310t-cfe94b4244c7d269810aed3ef3771c56f9146c91f11ac719cdc5e436452c6b993</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,12845,27923,27924,30998</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9670596$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yashin, A I</creatorcontrib><creatorcontrib>Iachine, I A</creatorcontrib><creatorcontrib>Christensen, K</creatorcontrib><creatorcontrib>Holm, N V</creatorcontrib><creatorcontrib>Vaupel, J W</creatorcontrib><title>The genetic component of discrete disability traits: an analysis using liability models with age-dependent thresholds</title><title>Behavior genetics</title><addtitle>Behav Genet</addtitle><description>The presence of familial and genetic effects in the Activities-of-Daily-Life (ADL) data collected in the first wave of the 1995 Longitudinal Study of Aging of Danish Twins (LSADT) older than 75 is tested using multithreshold liability models of disability with age-dependent thresholds. These models are developed for discrete scores represented by five disability scales of male and female Danish twins. The presence of familial effects is revealed in all five scales of disability data for females and in three scales of data for males. Genetic effects are found to be significant in all four levels of aggregation of the Upper Limb-T (T = tiredness) disability scale for females and in the PADL-H (H = need for help) scale for males. Genetic effects are also pronounced in the Mobility-T scale for females and in the Lower Limb-T scale for males and females. For females, the genetic effects in the T-scale seem to be more pronounced than in the H-scale. For males, genetic effects are more pronounced in the H-scale. 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classification</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging - genetics</topic><topic>Cohort Studies</topic><topic>Confidence Intervals</topic><topic>Cross-Sectional Studies</topic><topic>Denmark</topic><topic>Disabled Persons - statistics & numerical data</topic><topic>Family Health</topic><topic>Female</topic><topic>Humans</topic><topic>Likelihood Functions</topic><topic>Linear Models</topic><topic>Male</topic><topic>Models, Genetic</topic><topic>Severity of Illness Index</topic><topic>Twins, Dizygotic</topic><topic>Twins, Monozygotic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yashin, A I</creatorcontrib><creatorcontrib>Iachine, I A</creatorcontrib><creatorcontrib>Christensen, K</creatorcontrib><creatorcontrib>Holm, N V</creatorcontrib><creatorcontrib>Vaupel, J W</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Sociology Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Sociology Database</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Behavior genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yashin, A I</au><au>Iachine, I A</au><au>Christensen, K</au><au>Holm, N V</au><au>Vaupel, J W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The genetic component of discrete disability traits: an analysis using liability models with age-dependent thresholds</atitle><jtitle>Behavior genetics</jtitle><addtitle>Behav Genet</addtitle><date>1998-05-01</date><risdate>1998</risdate><volume>28</volume><issue>3</issue><spage>207</spage><epage>214</epage><pages>207-214</pages><artnum>207</artnum><issn>0001-8244</issn><eissn>1573-3297</eissn><abstract>The presence of familial and genetic effects in the Activities-of-Daily-Life (ADL) data collected in the first wave of the 1995 Longitudinal Study of Aging of Danish Twins (LSADT) older than 75 is tested using multithreshold liability models of disability with age-dependent thresholds. These models are developed for discrete scores represented by five disability scales of male and female Danish twins. The presence of familial effects is revealed in all five scales of disability data for females and in three scales of data for males. Genetic effects are found to be significant in all four levels of aggregation of the Upper Limb-T (T = tiredness) disability scale for females and in the PADL-H (H = need for help) scale for males. Genetic effects are also pronounced in the Mobility-T scale for females and in the Lower Limb-T scale for males and females. For females, the genetic effects in the T-scale seem to be more pronounced than in the H-scale. For males, genetic effects are more pronounced in the H-scale. The estimates for MZ correlations in liability tend to be higher than the estimates for DZ correlations in almost all cases, which suggests that additional genetic effects may be revealed should the sample size of the ADL data be increased.</abstract><cop>United States</cop><pub>Springer Nature B.V</pub><pmid>9670596</pmid><doi>10.1023/A:1021475230871</doi><tpages>8</tpages></addata></record> |
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| source | MEDLINE; Applied Social Sciences Index & Abstracts (ASSIA); SpringerLink Journals - AutoHoldings |
| subjects | Activities of Daily Living - classification Age Factors Aged Aged, 80 and over Aging - genetics Cohort Studies Confidence Intervals Cross-Sectional Studies Denmark Disabled Persons - statistics & numerical data Family Health Female Humans Likelihood Functions Linear Models Male Models, Genetic Severity of Illness Index Twins, Dizygotic Twins, Monozygotic |
| title | The genetic component of discrete disability traits: an analysis using liability models with age-dependent thresholds |
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