Multivariate Modeling of Body Mass Index, Pulse Pressure, Systolic and Diastolic Blood Pressure in Chinese Twins
Systolic and diastolic blood pressure, pulse pressure (PP), and body mass index (BMI) are heritable traits in human metabolic health but their common genetic and environmental backgrounds are not well investigated. The aim of this article was to explore the phenotypic and genetic associations among...
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| Veröffentlicht in: | Twin research and human genetics 2015-02, Vol.18 (1), p.73-78 |
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| creator | Wu, Yili Zhang, Dongfeng Pang, Zengchang Jiang, Wenjie Wang, Shaojie Li, Shuxia von Bornemann Hjelmborg, Jacob Tan, Qihua |
| description | Systolic and diastolic blood pressure, pulse pressure (PP), and body mass index (BMI) are heritable traits in human metabolic health but their common genetic and environmental backgrounds are not well investigated. The aim of this article was to explore the phenotypic and genetic associations among PP, systolic blood pressure (SBP), diastolic blood pressure (DBP), and BMI. The studied sample contained 615 twin pairs (17–84 years) collected in the Qingdao municipality. Univariate and multivariate structural equation models were fitted for assessing the genetic and environmental contributions. The AE model combining additive genetic (A) and unique environmental (E) factors produced the best fit for each four phenotypes. Heritability estimated in univariate analysis ranged from 0.42 to 0.74 with the highest for BMI (95% CI 0.70–0.78), and the lowest for PP (95% CI 0.34–0.49). The multivariate model estimated (1) high genetic correlations for DBP with SBP (0.87), PP with SBP (0.75); (2) low–moderate genetic correlations between PP and DBP (0.32), each BP component and BMI (0.24–0.37); (3) moderate unique environmental correlation for PP with SBP (0.68) and SBP with DBP (0.63); (4) there was no significant unique environmental correlation between PP and BMI. Overall, our multivariate analyses revealed common genetic and environmental backgrounds for PP, BP, and BMI in Chinese twins. |
| doi_str_mv | 10.1017/thg.2014.83 |
| format | Article |
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The aim of this article was to explore the phenotypic and genetic associations among PP, systolic blood pressure (SBP), diastolic blood pressure (DBP), and BMI. The studied sample contained 615 twin pairs (17–84 years) collected in the Qingdao municipality. Univariate and multivariate structural equation models were fitted for assessing the genetic and environmental contributions. The AE model combining additive genetic (A) and unique environmental (E) factors produced the best fit for each four phenotypes. Heritability estimated in univariate analysis ranged from 0.42 to 0.74 with the highest for BMI (95% CI 0.70–0.78), and the lowest for PP (95% CI 0.34–0.49). The multivariate model estimated (1) high genetic correlations for DBP with SBP (0.87), PP with SBP (0.75); (2) low–moderate genetic correlations between PP and DBP (0.32), each BP component and BMI (0.24–0.37); (3) moderate unique environmental correlation for PP with SBP (0.68) and SBP with DBP (0.63); (4) there was no significant unique environmental correlation between PP and BMI. Overall, our multivariate analyses revealed common genetic and environmental backgrounds for PP, BP, and BMI in Chinese twins.</description><identifier>ISSN: 1832-4274</identifier><identifier>EISSN: 1839-2628</identifier><identifier>DOI: 10.1017/thg.2014.83</identifier><identifier>PMID: 25529467</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Asian Continental Ancestry Group - genetics ; Blood pressure ; Blood Pressure - genetics ; Body Height - genetics ; Body Mass Index ; Body Weight - genetics ; China ; Cohort Studies ; Diastole - genetics ; Disease control ; Disease prevention ; Female ; Females ; Gender differences ; Gene-Environment Interaction ; Genetic analysis ; Genotype ; Genotype & phenotype ; Heritability ; Humans ; Male ; Metabolic syndrome ; Middle Aged ; Models, Genetic ; Multivariate Analysis ; Phenotype ; Phenotypes ; Standard deviation ; Systole - genetics ; Twin studies ; Twins ; Twins, Dizygotic - genetics ; Twins, Monozygotic - genetics ; Young Adult</subject><ispartof>Twin research and human genetics, 2015-02, Vol.18 (1), p.73-78</ispartof><rights>Copyright © The Author(s) 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c425t-beadf415d84fcc9af5c7ae0d9beee3bfdb85c59cc50bac54258a6c68425bdc1f3</citedby><cites>FETCH-LOGICAL-c425t-beadf415d84fcc9af5c7ae0d9beee3bfdb85c59cc50bac54258a6c68425bdc1f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S1832427414000838/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,776,780,27903,27904,55606</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25529467$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Yili</creatorcontrib><creatorcontrib>Zhang, Dongfeng</creatorcontrib><creatorcontrib>Pang, Zengchang</creatorcontrib><creatorcontrib>Jiang, Wenjie</creatorcontrib><creatorcontrib>Wang, Shaojie</creatorcontrib><creatorcontrib>Li, Shuxia</creatorcontrib><creatorcontrib>von Bornemann Hjelmborg, Jacob</creatorcontrib><creatorcontrib>Tan, Qihua</creatorcontrib><title>Multivariate Modeling of Body Mass Index, Pulse Pressure, Systolic and Diastolic Blood Pressure in Chinese Twins</title><title>Twin research and human genetics</title><addtitle>Twin Res Hum Genet</addtitle><description>Systolic and diastolic blood pressure, pulse pressure (PP), and body mass index (BMI) are heritable traits in human metabolic health but their common genetic and environmental backgrounds are not well investigated. The aim of this article was to explore the phenotypic and genetic associations among PP, systolic blood pressure (SBP), diastolic blood pressure (DBP), and BMI. The studied sample contained 615 twin pairs (17–84 years) collected in the Qingdao municipality. Univariate and multivariate structural equation models were fitted for assessing the genetic and environmental contributions. The AE model combining additive genetic (A) and unique environmental (E) factors produced the best fit for each four phenotypes. Heritability estimated in univariate analysis ranged from 0.42 to 0.74 with the highest for BMI (95% CI 0.70–0.78), and the lowest for PP (95% CI 0.34–0.49). The multivariate model estimated (1) high genetic correlations for DBP with SBP (0.87), PP with SBP (0.75); (2) low–moderate genetic correlations between PP and DBP (0.32), each BP component and BMI (0.24–0.37); (3) moderate unique environmental correlation for PP with SBP (0.68) and SBP with DBP (0.63); (4) there was no significant unique environmental correlation between PP and BMI. Overall, our multivariate analyses revealed common genetic and environmental backgrounds for PP, BP, and BMI in Chinese twins.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Asian Continental Ancestry Group - genetics</subject><subject>Blood pressure</subject><subject>Blood Pressure - genetics</subject><subject>Body Height - genetics</subject><subject>Body Mass Index</subject><subject>Body Weight - genetics</subject><subject>China</subject><subject>Cohort Studies</subject><subject>Diastole - genetics</subject><subject>Disease control</subject><subject>Disease prevention</subject><subject>Female</subject><subject>Females</subject><subject>Gender differences</subject><subject>Gene-Environment Interaction</subject><subject>Genetic analysis</subject><subject>Genotype</subject><subject>Genotype & phenotype</subject><subject>Heritability</subject><subject>Humans</subject><subject>Male</subject><subject>Metabolic syndrome</subject><subject>Middle Aged</subject><subject>Models, Genetic</subject><subject>Multivariate Analysis</subject><subject>Phenotype</subject><subject>Phenotypes</subject><subject>Standard deviation</subject><subject>Systole - genetics</subject><subject>Twin studies</subject><subject>Twins</subject><subject>Twins, Dizygotic - genetics</subject><subject>Twins, Monozygotic - genetics</subject><subject>Young Adult</subject><issn>1832-4274</issn><issn>1839-2628</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNptkU1LxDAQhoMofqyevEvAi-B2TdKmTY-6foKLgnoOaTJdI91mTVp1_71RVwXxlAk888wwL0K7lIwoocVR9zgdMUKzkUhX0CYVaZmwnInVz5olGSuyDbQVwhMhaUFLso42GOeszPJiE80nfdPZF-Wt6gBPnIHGtlPsanzizAJPVAj4qjXwNsS3fRMA33oIofcwxHeL0LnGaqxag0-tWv5OGufMD4Zti8ePtoXYev9q27CN1moVRTvLd4Aezs_ux5fJ9c3F1fj4OtEZ411SgTJ1RrkRWa11qWquCwXElBUApFVtKsE1L7XmpFKaxx6hcp2LWFRG0zodoIMv79y75x5CJ2c2aGga1YLrg6Q5TykTOaER3f-DPrnet3E7yYqS5oJkOYnU4RelvQvBQy3n3s6UX0hK5EcQMgYhP4KQIo303tLZVzMwP-z35SOQLHVqVnlrpvA79T_hO-2QlBA</recordid><startdate>20150201</startdate><enddate>20150201</enddate><creator>Wu, Yili</creator><creator>Zhang, Dongfeng</creator><creator>Pang, Zengchang</creator><creator>Jiang, Wenjie</creator><creator>Wang, Shaojie</creator><creator>Li, Shuxia</creator><creator>von Bornemann Hjelmborg, Jacob</creator><creator>Tan, Qihua</creator><general>Cambridge 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>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20150201</creationdate><title>Multivariate Modeling of Body Mass Index, Pulse Pressure, Systolic and Diastolic Blood Pressure in Chinese Twins</title><author>Wu, Yili ; Zhang, Dongfeng ; Pang, Zengchang ; Jiang, Wenjie ; Wang, Shaojie ; Li, Shuxia ; von Bornemann Hjelmborg, Jacob ; Tan, Qihua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c425t-beadf415d84fcc9af5c7ae0d9beee3bfdb85c59cc50bac54258a6c68425bdc1f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Asian Continental Ancestry Group - genetics</topic><topic>Blood pressure</topic><topic>Blood Pressure - genetics</topic><topic>Body Height - genetics</topic><topic>Body Mass Index</topic><topic>Body Weight - genetics</topic><topic>China</topic><topic>Cohort Studies</topic><topic>Diastole - genetics</topic><topic>Disease control</topic><topic>Disease prevention</topic><topic>Female</topic><topic>Females</topic><topic>Gender differences</topic><topic>Gene-Environment Interaction</topic><topic>Genetic analysis</topic><topic>Genotype</topic><topic>Genotype & phenotype</topic><topic>Heritability</topic><topic>Humans</topic><topic>Male</topic><topic>Metabolic syndrome</topic><topic>Middle Aged</topic><topic>Models, Genetic</topic><topic>Multivariate Analysis</topic><topic>Phenotype</topic><topic>Phenotypes</topic><topic>Standard deviation</topic><topic>Systole - genetics</topic><topic>Twin studies</topic><topic>Twins</topic><topic>Twins, Dizygotic - genetics</topic><topic>Twins, Monozygotic - genetics</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Yili</creatorcontrib><creatorcontrib>Zhang, Dongfeng</creatorcontrib><creatorcontrib>Pang, Zengchang</creatorcontrib><creatorcontrib>Jiang, Wenjie</creatorcontrib><creatorcontrib>Wang, Shaojie</creatorcontrib><creatorcontrib>Li, Shuxia</creatorcontrib><creatorcontrib>von Bornemann Hjelmborg, Jacob</creatorcontrib><creatorcontrib>Tan, Qihua</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</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>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Twin research and human genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Yili</au><au>Zhang, Dongfeng</au><au>Pang, Zengchang</au><au>Jiang, Wenjie</au><au>Wang, Shaojie</au><au>Li, Shuxia</au><au>von Bornemann Hjelmborg, Jacob</au><au>Tan, Qihua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multivariate Modeling of Body Mass Index, Pulse Pressure, Systolic and Diastolic Blood Pressure in Chinese Twins</atitle><jtitle>Twin research and human genetics</jtitle><addtitle>Twin Res Hum Genet</addtitle><date>2015-02-01</date><risdate>2015</risdate><volume>18</volume><issue>1</issue><spage>73</spage><epage>78</epage><pages>73-78</pages><issn>1832-4274</issn><eissn>1839-2628</eissn><abstract>Systolic and diastolic blood pressure, pulse pressure (PP), and body mass index (BMI) are heritable traits in human metabolic health but their common genetic and environmental backgrounds are not well investigated. The aim of this article was to explore the phenotypic and genetic associations among PP, systolic blood pressure (SBP), diastolic blood pressure (DBP), and BMI. The studied sample contained 615 twin pairs (17–84 years) collected in the Qingdao municipality. Univariate and multivariate structural equation models were fitted for assessing the genetic and environmental contributions. The AE model combining additive genetic (A) and unique environmental (E) factors produced the best fit for each four phenotypes. Heritability estimated in univariate analysis ranged from 0.42 to 0.74 with the highest for BMI (95% CI 0.70–0.78), and the lowest for PP (95% CI 0.34–0.49). The multivariate model estimated (1) high genetic correlations for DBP with SBP (0.87), PP with SBP (0.75); (2) low–moderate genetic correlations between PP and DBP (0.32), each BP component and BMI (0.24–0.37); (3) moderate unique environmental correlation for PP with SBP (0.68) and SBP with DBP (0.63); (4) there was no significant unique environmental correlation between PP and BMI. Overall, our multivariate analyses revealed common genetic and environmental backgrounds for PP, BP, and BMI in Chinese twins.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>25529467</pmid><doi>10.1017/thg.2014.83</doi><tpages>6</tpages></addata></record> |
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| subjects | Adolescent Adult Aged Aged, 80 and over Asian Continental Ancestry Group - genetics Blood pressure Blood Pressure - genetics Body Height - genetics Body Mass Index Body Weight - genetics China Cohort Studies Diastole - genetics Disease control Disease prevention Female Females Gender differences Gene-Environment Interaction Genetic analysis Genotype Genotype & phenotype Heritability Humans Male Metabolic syndrome Middle Aged Models, Genetic Multivariate Analysis Phenotype Phenotypes Standard deviation Systole - genetics Twin studies Twins Twins, Dizygotic - genetics Twins, Monozygotic - genetics Young Adult |
| title | Multivariate Modeling of Body Mass Index, Pulse Pressure, Systolic and Diastolic Blood Pressure in Chinese Twins |
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