Cardiovascular Risk Factors Associated With Blood Metabolite Concentrations and Their Alterations During a 4-Year Period in a Population-Based Cohort
BACKGROUND—The effects of lifestyle risk factors considered collectively on the human metabolism are to date unknown. We aim to investigate the association of these risk factors with metabolites and their changes during 4 years. METHODS AND RESULTS—One hundred and sixty-three metabolites were measur...
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| Veröffentlicht in: | Circulation. Cardiovascular genetics 2016-12, Vol.9 (6), p.487-494 |
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| creator | Lacruz, Maria Elena Kluttig, Alexander Tiller, Daniel Medenwald, Daniel Giegling, Ina Rujescu, Dan Prehn, Cornelia Adamski, Jerzy Frantz, Stefan Greiser, Karin Halina Emeny, Rebecca Thwing Kastenmüller, Gabi Haerting, Johannes |
| description | BACKGROUND—The effects of lifestyle risk factors considered collectively on the human metabolism are to date unknown. We aim to investigate the association of these risk factors with metabolites and their changes during 4 years.
METHODS AND RESULTS—One hundred and sixty-three metabolites were measured in serum samples with the AbsoluteIDQ kit p150 (Biocrates) following a targeted metabolomics approach, in a population-based cohort of 1030 individuals, aged 45 to 83 years at baseline. We evaluated associations between metabolite concentrations (28 acylcarnitines, 14 amino acids, 9 lysophosphocholines, 72 phosphocholines, 10 sphingomyelins and sum of hexoses) and 5 lifestyle risk factors (body mass index [BMI], alcohol consumption, smoking, diet, and exercise). Multilevel or simple linear regression modeling adjusted for relevant covariates was used for the evaluation of cross-sectional or longitudinal associations, respectively; multiple testing correction was based on false discovery rate. BMI, alcohol consumption, and smoking were associated with lipid metabolism (reduced lyso- and acyl-alkyl-phosphatidylcholines and increased diacylphosphatidylcholines concentrations). Smoking showed positive associations with acylcarnitines, and BMI correlated inversely with nonessential amino acids. Fewer metabolites showed relative changes that were associated with baseline risk factorsincreases in 5 different acyl-alkyl phosphatidylcholines were associated with lower alcohol consumption and BMI and with a healthier diet. Increased levels of tyrosine were associated with BMI. Sex-specific effects of smoking and BMI were found specifically related to acylcarnitine metabolismin women higher BMI and in men more pack-years were associated with increases in acylcarnitines.
CONCLUSIONS—This study showed sex-specific effects of lifestyle risks factors on human metabolism and highlighted their long-term metabolic consequences. |
| doi_str_mv | 10.1161/CIRCGENETICS.116.001444 |
| format | Article |
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METHODS AND RESULTS—One hundred and sixty-three metabolites were measured in serum samples with the AbsoluteIDQ kit p150 (Biocrates) following a targeted metabolomics approach, in a population-based cohort of 1030 individuals, aged 45 to 83 years at baseline. We evaluated associations between metabolite concentrations (28 acylcarnitines, 14 amino acids, 9 lysophosphocholines, 72 phosphocholines, 10 sphingomyelins and sum of hexoses) and 5 lifestyle risk factors (body mass index [BMI], alcohol consumption, smoking, diet, and exercise). Multilevel or simple linear regression modeling adjusted for relevant covariates was used for the evaluation of cross-sectional or longitudinal associations, respectively; multiple testing correction was based on false discovery rate. BMI, alcohol consumption, and smoking were associated with lipid metabolism (reduced lyso- and acyl-alkyl-phosphatidylcholines and increased diacylphosphatidylcholines concentrations). Smoking showed positive associations with acylcarnitines, and BMI correlated inversely with nonessential amino acids. Fewer metabolites showed relative changes that were associated with baseline risk factorsincreases in 5 different acyl-alkyl phosphatidylcholines were associated with lower alcohol consumption and BMI and with a healthier diet. Increased levels of tyrosine were associated with BMI. Sex-specific effects of smoking and BMI were found specifically related to acylcarnitine metabolismin women higher BMI and in men more pack-years were associated with increases in acylcarnitines.
CONCLUSIONS—This study showed sex-specific effects of lifestyle risks factors on human metabolism and highlighted their long-term metabolic consequences.</description><identifier>ISSN: 1942-325X</identifier><identifier>EISSN: 1942-3268</identifier><identifier>DOI: 10.1161/CIRCGENETICS.116.001444</identifier><identifier>PMID: 27784734</identifier><language>eng</language><publisher>United States: American Heart Association, Inc</publisher><subject>Aged ; Aged, 80 and over ; Alcohol Drinking - adverse effects ; Alcohol Drinking - blood ; Amino Acids - blood ; Biomarkers - blood ; Body Mass Index ; Cardiovascular Diseases - blood ; Cardiovascular Diseases - diagnosis ; Cardiovascular Diseases - epidemiology ; Carnitine - analogs & derivatives ; Carnitine - blood ; Cross-Sectional Studies ; Female ; Germany - epidemiology ; Hexoses - blood ; Humans ; Linear Models ; Lipids - blood ; Longitudinal Studies ; Male ; Metabolomics - methods ; Middle Aged ; Multivariate Analysis ; Obesity - blood ; Obesity - epidemiology ; Risk Assessment ; Risk Factors ; Sex Factors ; Smoking - adverse effects ; Smoking - blood ; Time Factors</subject><ispartof>Circulation. Cardiovascular genetics, 2016-12, Vol.9 (6), p.487-494</ispartof><rights>2016 American Heart Association, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4474-8946b01a30e7de8119709a813bacab126e0b41fab7986e7f2c15256c5e6267363</citedby><cites>FETCH-LOGICAL-c4474-8946b01a30e7de8119709a813bacab126e0b41fab7986e7f2c15256c5e6267363</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3687,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27784734$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lacruz, Maria Elena</creatorcontrib><creatorcontrib>Kluttig, Alexander</creatorcontrib><creatorcontrib>Tiller, Daniel</creatorcontrib><creatorcontrib>Medenwald, Daniel</creatorcontrib><creatorcontrib>Giegling, Ina</creatorcontrib><creatorcontrib>Rujescu, Dan</creatorcontrib><creatorcontrib>Prehn, Cornelia</creatorcontrib><creatorcontrib>Adamski, Jerzy</creatorcontrib><creatorcontrib>Frantz, Stefan</creatorcontrib><creatorcontrib>Greiser, Karin Halina</creatorcontrib><creatorcontrib>Emeny, Rebecca Thwing</creatorcontrib><creatorcontrib>Kastenmüller, Gabi</creatorcontrib><creatorcontrib>Haerting, Johannes</creatorcontrib><title>Cardiovascular Risk Factors Associated With Blood Metabolite Concentrations and Their Alterations During a 4-Year Period in a Population-Based Cohort</title><title>Circulation. Cardiovascular genetics</title><addtitle>Circ Cardiovasc Genet</addtitle><description>BACKGROUND—The effects of lifestyle risk factors considered collectively on the human metabolism are to date unknown. We aim to investigate the association of these risk factors with metabolites and their changes during 4 years.
METHODS AND RESULTS—One hundred and sixty-three metabolites were measured in serum samples with the AbsoluteIDQ kit p150 (Biocrates) following a targeted metabolomics approach, in a population-based cohort of 1030 individuals, aged 45 to 83 years at baseline. We evaluated associations between metabolite concentrations (28 acylcarnitines, 14 amino acids, 9 lysophosphocholines, 72 phosphocholines, 10 sphingomyelins and sum of hexoses) and 5 lifestyle risk factors (body mass index [BMI], alcohol consumption, smoking, diet, and exercise). Multilevel or simple linear regression modeling adjusted for relevant covariates was used for the evaluation of cross-sectional or longitudinal associations, respectively; multiple testing correction was based on false discovery rate. BMI, alcohol consumption, and smoking were associated with lipid metabolism (reduced lyso- and acyl-alkyl-phosphatidylcholines and increased diacylphosphatidylcholines concentrations). Smoking showed positive associations with acylcarnitines, and BMI correlated inversely with nonessential amino acids. Fewer metabolites showed relative changes that were associated with baseline risk factorsincreases in 5 different acyl-alkyl phosphatidylcholines were associated with lower alcohol consumption and BMI and with a healthier diet. Increased levels of tyrosine were associated with BMI. Sex-specific effects of smoking and BMI were found specifically related to acylcarnitine metabolismin women higher BMI and in men more pack-years were associated with increases in acylcarnitines.
CONCLUSIONS—This study showed sex-specific effects of lifestyle risks factors on human metabolism and highlighted their long-term metabolic consequences.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alcohol Drinking - adverse effects</subject><subject>Alcohol Drinking - blood</subject><subject>Amino Acids - blood</subject><subject>Biomarkers - blood</subject><subject>Body Mass Index</subject><subject>Cardiovascular Diseases - blood</subject><subject>Cardiovascular Diseases - diagnosis</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Carnitine - analogs & derivatives</subject><subject>Carnitine - blood</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Germany - epidemiology</subject><subject>Hexoses - blood</subject><subject>Humans</subject><subject>Linear Models</subject><subject>Lipids - blood</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Metabolomics - methods</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Obesity - blood</subject><subject>Obesity - epidemiology</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Sex Factors</subject><subject>Smoking - adverse effects</subject><subject>Smoking - blood</subject><subject>Time Factors</subject><issn>1942-325X</issn><issn>1942-3268</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkUFv1DAQhS0EoqXwF8BHLil27NiOOG3Dtl2pQFUWAado4swS02y82A5Vfwj_l0TbVtzgNKOnb96T5hHyirNjzhV_U62uqrPlh-V6VX2alWPGuJTyETnkpcwzkSvz-GEvvh6QZzH-YExJIdRTcpBrbaQW8pD8riC0zv-CaMceAr1y8Zqegk0-RLqI0VsHCVv6xaWOnvTet_Q9Jmh87xLSyg8WhxQgOT9ECkNL1x26QBd9wnv13Rjc8J0Cldk3nCIuMbjJxg2TdOl3U-zMZScQp5zKdz6k5-TJBvqIL-7mEfl8ulxX59nFx7NVtbjIrJRaZqaUqmEcBEPdouG81KwEw0UDFhqeK2SN5BtodGkU6k1ueZEXyhaocqWFEkfk9d53F_zPEWOqty5a7HsY0I-x5qYopTFCyP9ARaG0YqKYUL1HbfAxBtzUu-C2EG5rzuq5vvrv-mal3tc3Xb68CxmbLbYPd_d9TcDbPXDj5w_H6368wVB3CH3q_mn_B4U8qrw</recordid><startdate>201612</startdate><enddate>201612</enddate><creator>Lacruz, Maria Elena</creator><creator>Kluttig, Alexander</creator><creator>Tiller, Daniel</creator><creator>Medenwald, Daniel</creator><creator>Giegling, Ina</creator><creator>Rujescu, Dan</creator><creator>Prehn, Cornelia</creator><creator>Adamski, Jerzy</creator><creator>Frantz, Stefan</creator><creator>Greiser, Karin Halina</creator><creator>Emeny, Rebecca Thwing</creator><creator>Kastenmüller, Gabi</creator><creator>Haerting, Johannes</creator><general>American Heart Association, Inc</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>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>201612</creationdate><title>Cardiovascular Risk Factors Associated With Blood Metabolite Concentrations and Their Alterations During a 4-Year Period in a Population-Based Cohort</title><author>Lacruz, Maria Elena ; Kluttig, Alexander ; Tiller, Daniel ; Medenwald, Daniel ; Giegling, Ina ; Rujescu, Dan ; Prehn, Cornelia ; Adamski, Jerzy ; Frantz, Stefan ; Greiser, Karin Halina ; Emeny, Rebecca Thwing ; Kastenmüller, Gabi ; Haerting, Johannes</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4474-8946b01a30e7de8119709a813bacab126e0b41fab7986e7f2c15256c5e6267363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Alcohol Drinking - adverse effects</topic><topic>Alcohol Drinking - blood</topic><topic>Amino Acids - blood</topic><topic>Biomarkers - blood</topic><topic>Body Mass Index</topic><topic>Cardiovascular Diseases - blood</topic><topic>Cardiovascular Diseases - diagnosis</topic><topic>Cardiovascular Diseases - epidemiology</topic><topic>Carnitine - analogs & derivatives</topic><topic>Carnitine - blood</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Germany - epidemiology</topic><topic>Hexoses - blood</topic><topic>Humans</topic><topic>Linear Models</topic><topic>Lipids - blood</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Metabolomics - methods</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Obesity - blood</topic><topic>Obesity - epidemiology</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Sex Factors</topic><topic>Smoking - adverse effects</topic><topic>Smoking - blood</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lacruz, Maria Elena</creatorcontrib><creatorcontrib>Kluttig, Alexander</creatorcontrib><creatorcontrib>Tiller, Daniel</creatorcontrib><creatorcontrib>Medenwald, Daniel</creatorcontrib><creatorcontrib>Giegling, Ina</creatorcontrib><creatorcontrib>Rujescu, Dan</creatorcontrib><creatorcontrib>Prehn, Cornelia</creatorcontrib><creatorcontrib>Adamski, Jerzy</creatorcontrib><creatorcontrib>Frantz, Stefan</creatorcontrib><creatorcontrib>Greiser, Karin Halina</creatorcontrib><creatorcontrib>Emeny, Rebecca Thwing</creatorcontrib><creatorcontrib>Kastenmüller, Gabi</creatorcontrib><creatorcontrib>Haerting, Johannes</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>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>Circulation. Cardiovascular genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lacruz, Maria Elena</au><au>Kluttig, Alexander</au><au>Tiller, Daniel</au><au>Medenwald, Daniel</au><au>Giegling, Ina</au><au>Rujescu, Dan</au><au>Prehn, Cornelia</au><au>Adamski, Jerzy</au><au>Frantz, Stefan</au><au>Greiser, Karin Halina</au><au>Emeny, Rebecca Thwing</au><au>Kastenmüller, Gabi</au><au>Haerting, Johannes</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cardiovascular Risk Factors Associated With Blood Metabolite Concentrations and Their Alterations During a 4-Year Period in a Population-Based Cohort</atitle><jtitle>Circulation. Cardiovascular genetics</jtitle><addtitle>Circ Cardiovasc Genet</addtitle><date>2016-12</date><risdate>2016</risdate><volume>9</volume><issue>6</issue><spage>487</spage><epage>494</epage><pages>487-494</pages><issn>1942-325X</issn><eissn>1942-3268</eissn><abstract>BACKGROUND—The effects of lifestyle risk factors considered collectively on the human metabolism are to date unknown. We aim to investigate the association of these risk factors with metabolites and their changes during 4 years.
METHODS AND RESULTS—One hundred and sixty-three metabolites were measured in serum samples with the AbsoluteIDQ kit p150 (Biocrates) following a targeted metabolomics approach, in a population-based cohort of 1030 individuals, aged 45 to 83 years at baseline. We evaluated associations between metabolite concentrations (28 acylcarnitines, 14 amino acids, 9 lysophosphocholines, 72 phosphocholines, 10 sphingomyelins and sum of hexoses) and 5 lifestyle risk factors (body mass index [BMI], alcohol consumption, smoking, diet, and exercise). Multilevel or simple linear regression modeling adjusted for relevant covariates was used for the evaluation of cross-sectional or longitudinal associations, respectively; multiple testing correction was based on false discovery rate. BMI, alcohol consumption, and smoking were associated with lipid metabolism (reduced lyso- and acyl-alkyl-phosphatidylcholines and increased diacylphosphatidylcholines concentrations). Smoking showed positive associations with acylcarnitines, and BMI correlated inversely with nonessential amino acids. Fewer metabolites showed relative changes that were associated with baseline risk factorsincreases in 5 different acyl-alkyl phosphatidylcholines were associated with lower alcohol consumption and BMI and with a healthier diet. Increased levels of tyrosine were associated with BMI. Sex-specific effects of smoking and BMI were found specifically related to acylcarnitine metabolismin women higher BMI and in men more pack-years were associated with increases in acylcarnitines.
CONCLUSIONS—This study showed sex-specific effects of lifestyle risks factors on human metabolism and highlighted their long-term metabolic consequences.</abstract><cop>United States</cop><pub>American Heart Association, Inc</pub><pmid>27784734</pmid><doi>10.1161/CIRCGENETICS.116.001444</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1942-325X |
| ispartof | Circulation. Cardiovascular genetics, 2016-12, Vol.9 (6), p.487-494 |
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| source | MEDLINE; American Heart Association Journals |
| subjects | Aged Aged, 80 and over Alcohol Drinking - adverse effects Alcohol Drinking - blood Amino Acids - blood Biomarkers - blood Body Mass Index Cardiovascular Diseases - blood Cardiovascular Diseases - diagnosis Cardiovascular Diseases - epidemiology Carnitine - analogs & derivatives Carnitine - blood Cross-Sectional Studies Female Germany - epidemiology Hexoses - blood Humans Linear Models Lipids - blood Longitudinal Studies Male Metabolomics - methods Middle Aged Multivariate Analysis Obesity - blood Obesity - epidemiology Risk Assessment Risk Factors Sex Factors Smoking - adverse effects Smoking - blood Time Factors |
| title | Cardiovascular Risk Factors Associated With Blood Metabolite Concentrations and Their Alterations During a 4-Year Period in a Population-Based Cohort |
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