Pleiotropy among common genetic loci identified for cardiometabolic disorders and C-reactive protein
Pleiotropic genetic variants have independent effects on different phenotypes. C-reactive protein (CRP) is associated with several cardiometabolic phenotypes. Shared genetic backgrounds may partially underlie these associations. We conducted a genome-wide analysis to identify the shared genetic back...
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description | Pleiotropic genetic variants have independent effects on different phenotypes. C-reactive protein (CRP) is associated with several cardiometabolic phenotypes. Shared genetic backgrounds may partially underlie these associations. We conducted a genome-wide analysis to identify the shared genetic background of inflammation and cardiometabolic phenotypes using published genome-wide association studies (GWAS). We also evaluated whether the pleiotropic effects of such loci were biological or mediated in nature. First, we examined whether 283 common variants identified for 10 cardiometabolic phenotypes in GWAS are associated with CRP level. Second, we tested whether 18 variants identified for serum CRP are associated with 10 cardiometabolic phenotypes. We used a Bonferroni corrected p-value of 1.1×10-04 (0.05/463) as a threshold of significance. We evaluated the independent pleiotropic effect on both phenotypes using individual level data from the Women Genome Health Study. Evaluating the genetic overlap between inflammation and cardiometabolic phenotypes, we found 13 pleiotropic regions. Additional analyses showed that 6 regions (APOC1, HNF1A, IL6R, PPP1R3B, HNF4A and IL1F10) appeared to have a pleiotropic effect on CRP independent of the effects on the cardiometabolic phenotypes. These included loci where individuals carrying the risk allele for CRP encounter higher lipid levels and risk of type 2 diabetes. In addition, 5 regions (GCKR, PABPC4, BCL7B, FTO and TMEM18) had an effect on CRP largely mediated through the cardiometabolic phenotypes. In conclusion, our results show genetic pleiotropy among inflammation and cardiometabolic phenotypes. In addition to reverse causation, our data suggests that pleiotropic genetic variants partially underlie the association between CRP and cardiometabolic phenotypes. |
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C-reactive protein (CRP) is associated with several cardiometabolic phenotypes. Shared genetic backgrounds may partially underlie these associations. We conducted a genome-wide analysis to identify the shared genetic background of inflammation and cardiometabolic phenotypes using published genome-wide association studies (GWAS). We also evaluated whether the pleiotropic effects of such loci were biological or mediated in nature. First, we examined whether 283 common variants identified for 10 cardiometabolic phenotypes in GWAS are associated with CRP level. Second, we tested whether 18 variants identified for serum CRP are associated with 10 cardiometabolic phenotypes. We used a Bonferroni corrected p-value of 1.1×10-04 (0.05/463) as a threshold of significance. We evaluated the independent pleiotropic effect on both phenotypes using individual level data from the Women Genome Health Study. Evaluating the genetic overlap between inflammation and cardiometabolic phenotypes, we found 13 pleiotropic regions. Additional analyses showed that 6 regions (APOC1, HNF1A, IL6R, PPP1R3B, HNF4A and IL1F10) appeared to have a pleiotropic effect on CRP independent of the effects on the cardiometabolic phenotypes. These included loci where individuals carrying the risk allele for CRP encounter higher lipid levels and risk of type 2 diabetes. In addition, 5 regions (GCKR, PABPC4, BCL7B, FTO and TMEM18) had an effect on CRP largely mediated through the cardiometabolic phenotypes. In conclusion, our results show genetic pleiotropy among inflammation and cardiometabolic phenotypes. In addition to reverse causation, our data suggests that pleiotropic genetic variants partially underlie the association between CRP and cardiometabolic phenotypes.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0118859</identifier><identifier>PMID: 25768928</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biological effects ; C-reactive protein ; C-Reactive Protein - metabolism ; Cardiovascular disease ; Cardiovascular Diseases - genetics ; Cardiovascular Diseases - metabolism ; Causation ; Cholesterol ; Consortia ; Coronary vessels ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Epidemiology ; Fasting ; Female ; Gene expression ; Gene loci ; Genetic analysis ; Genetic diversity ; Genetic Loci - genetics ; Genetic Pleiotropy ; Genetic variance ; Genetics ; Genome-Wide Association Study ; Genomes ; Genomics ; Glucose ; Health risks ; Hepatocyte nuclear factor 4 ; Humans ; Hypertension ; Inflammation ; Insulin ; Interleukin 1 ; Interleukin 6 ; Interleukin 6 receptors ; Lipids ; Loci ; Low density lipoprotein ; Meta-analysis ; Metabolic Diseases - genetics ; Metabolism ; Mortality ; Pleiotropy ; Polymorphism, Single Nucleotide ; Preventive medicine ; Proteins ; Studies ; Triglycerides ; Type 2 diabetes ; Womens health ; Working groups</subject><ispartof>PloS one, 2015-03, Vol.10 (3), p.e0118859-e0118859</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Ligthart et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Ligthart et al 2015 Ligthart et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-d5d662468a543d15ef9f3ba2e4473a530d51b84c32b76a010cf02d6d45c8a4933</citedby><cites>FETCH-LOGICAL-c692t-d5d662468a543d15ef9f3ba2e4473a530d51b84c32b76a010cf02d6d45c8a4933</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4358943/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4358943/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23847,27903,27904,53769,53771,79346,79347</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25768928$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Li, Yun</contributor><creatorcontrib>Ligthart, Symen</creatorcontrib><creatorcontrib>de Vries, Paul S</creatorcontrib><creatorcontrib>Uitterlinden, André G</creatorcontrib><creatorcontrib>Hofman, Albert</creatorcontrib><creatorcontrib>Franco, Oscar H</creatorcontrib><creatorcontrib>Chasman, Daniel I</creatorcontrib><creatorcontrib>Dehghan, Abbas</creatorcontrib><creatorcontrib>CHARGE Inflammation working group</creatorcontrib><title>Pleiotropy among common genetic loci identified for cardiometabolic disorders and C-reactive protein</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Pleiotropic genetic variants have independent effects on different phenotypes. C-reactive protein (CRP) is associated with several cardiometabolic phenotypes. Shared genetic backgrounds may partially underlie these associations. We conducted a genome-wide analysis to identify the shared genetic background of inflammation and cardiometabolic phenotypes using published genome-wide association studies (GWAS). We also evaluated whether the pleiotropic effects of such loci were biological or mediated in nature. First, we examined whether 283 common variants identified for 10 cardiometabolic phenotypes in GWAS are associated with CRP level. Second, we tested whether 18 variants identified for serum CRP are associated with 10 cardiometabolic phenotypes. We used a Bonferroni corrected p-value of 1.1×10-04 (0.05/463) as a threshold of significance. We evaluated the independent pleiotropic effect on both phenotypes using individual level data from the Women Genome Health Study. Evaluating the genetic overlap between inflammation and cardiometabolic phenotypes, we found 13 pleiotropic regions. Additional analyses showed that 6 regions (APOC1, HNF1A, IL6R, PPP1R3B, HNF4A and IL1F10) appeared to have a pleiotropic effect on CRP independent of the effects on the cardiometabolic phenotypes. These included loci where individuals carrying the risk allele for CRP encounter higher lipid levels and risk of type 2 diabetes. In addition, 5 regions (GCKR, PABPC4, BCL7B, FTO and TMEM18) had an effect on CRP largely mediated through the cardiometabolic phenotypes. In conclusion, our results show genetic pleiotropy among inflammation and cardiometabolic phenotypes. In addition to reverse causation, our data suggests that pleiotropic genetic variants partially underlie the association between CRP and cardiometabolic phenotypes.</description><subject>Biological effects</subject><subject>C-reactive protein</subject><subject>C-Reactive Protein - metabolism</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular Diseases - genetics</subject><subject>Cardiovascular Diseases - metabolism</subject><subject>Causation</subject><subject>Cholesterol</subject><subject>Consortia</subject><subject>Coronary vessels</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Epidemiology</subject><subject>Fasting</subject><subject>Female</subject><subject>Gene expression</subject><subject>Gene loci</subject><subject>Genetic analysis</subject><subject>Genetic diversity</subject><subject>Genetic Loci - genetics</subject><subject>Genetic Pleiotropy</subject><subject>Genetic variance</subject><subject>Genetics</subject><subject>Genome-Wide Association Study</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Glucose</subject><subject>Health risks</subject><subject>Hepatocyte nuclear factor 4</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Inflammation</subject><subject>Insulin</subject><subject>Interleukin 1</subject><subject>Interleukin 6</subject><subject>Interleukin 6 receptors</subject><subject>Lipids</subject><subject>Loci</subject><subject>Low density lipoprotein</subject><subject>Meta-analysis</subject><subject>Metabolic Diseases - genetics</subject><subject>Metabolism</subject><subject>Mortality</subject><subject>Pleiotropy</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Preventive medicine</subject><subject>Proteins</subject><subject>Studies</subject><subject>Triglycerides</subject><subject>Type 2 diabetes</subject><subject>Womens health</subject><subject>Working groups</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk0tr3DAQx01padK036C0hkJpD7vV2_alEJY-FgIpfV3FWBp7tdjWRrJD8-2rzW7Cbsmh6DBi9Ju_ZkaaLHtJyZzygn5Y-ykM0M03fsA5obQsZfUoO6UVZzPFCH98sD_JnsW4JkTyUqmn2QmThSorVp5m9luHzo_Bb25y6P3Q5sb3yeYtDjg6k3feuNxZHEbXOLR540NuIFjnexyh9l1irIs-WAwxh8Hmi1lAMKO7xnwT_IhueJ49aaCL-GJvz7Jfnz_9XHydXVx-WS7OL2ZGVWycWWmVYkKVIAW3VGJTNbwGhkIUHCQnVtK6FIazulBAKDENYVZZIU0JouL8LHu90910Pup9g6KmSnEuVEVZIpY7wnpY601wPYQb7cHpW4cPrYaQyu5Qc65ASsZQFkRIKmoruBINWlpagEolrY_726a6R2tSiwJ0R6LHJ4Nb6dZfa8FlWYltuu_2AsFfTRhH3btosOtgQD_d5i0YLQiXCX3zD_pwdXuqhVSAG5r0sGC2ovpcMEaYUnSrNX-ASsti70z6TY1L_qOA90cBiRnxz9jCFKNe_vj-_-zl72P27QG7QujGVfTdNDo_xGNQ7EATfIwBm_smU6K3w3DXDb0dBr0fhhT26vCB7oPufj__C8PIBCk</recordid><startdate>20150313</startdate><enddate>20150313</enddate><creator>Ligthart, Symen</creator><creator>de Vries, Paul S</creator><creator>Uitterlinden, André G</creator><creator>Hofman, Albert</creator><creator>Franco, Oscar H</creator><creator>Chasman, Daniel I</creator><creator>Dehghan, Abbas</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150313</creationdate><title>Pleiotropy among common genetic loci identified for cardiometabolic disorders and C-reactive protein</title><author>Ligthart, Symen ; de Vries, Paul S ; Uitterlinden, André G ; Hofman, Albert ; Franco, Oscar H ; Chasman, Daniel I ; Dehghan, Abbas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-d5d662468a543d15ef9f3ba2e4473a530d51b84c32b76a010cf02d6d45c8a4933</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Biological effects</topic><topic>C-reactive protein</topic><topic>C-Reactive Protein - metabolism</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular Diseases - genetics</topic><topic>Cardiovascular Diseases - metabolism</topic><topic>Causation</topic><topic>Cholesterol</topic><topic>Consortia</topic><topic>Coronary vessels</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Epidemiology</topic><topic>Fasting</topic><topic>Female</topic><topic>Gene expression</topic><topic>Gene loci</topic><topic>Genetic analysis</topic><topic>Genetic diversity</topic><topic>Genetic Loci - genetics</topic><topic>Genetic Pleiotropy</topic><topic>Genetic variance</topic><topic>Genetics</topic><topic>Genome-Wide Association Study</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Glucose</topic><topic>Health risks</topic><topic>Hepatocyte nuclear factor 4</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Inflammation</topic><topic>Insulin</topic><topic>Interleukin 1</topic><topic>Interleukin 6</topic><topic>Interleukin 6 receptors</topic><topic>Lipids</topic><topic>Loci</topic><topic>Low density lipoprotein</topic><topic>Meta-analysis</topic><topic>Metabolic Diseases - genetics</topic><topic>Metabolism</topic><topic>Mortality</topic><topic>Pleiotropy</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Preventive medicine</topic><topic>Proteins</topic><topic>Studies</topic><topic>Triglycerides</topic><topic>Type 2 diabetes</topic><topic>Womens health</topic><topic>Working groups</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ligthart, Symen</creatorcontrib><creatorcontrib>de Vries, Paul S</creatorcontrib><creatorcontrib>Uitterlinden, André G</creatorcontrib><creatorcontrib>Hofman, Albert</creatorcontrib><creatorcontrib>Franco, Oscar H</creatorcontrib><creatorcontrib>Chasman, Daniel I</creatorcontrib><creatorcontrib>Dehghan, Abbas</creatorcontrib><creatorcontrib>CHARGE Inflammation working group</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</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>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ligthart, Symen</au><au>de Vries, Paul S</au><au>Uitterlinden, André G</au><au>Hofman, Albert</au><au>Franco, Oscar H</au><au>Chasman, Daniel I</au><au>Dehghan, Abbas</au><au>Li, Yun</au><aucorp>CHARGE Inflammation working group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pleiotropy among common genetic loci identified for cardiometabolic disorders and C-reactive protein</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-03-13</date><risdate>2015</risdate><volume>10</volume><issue>3</issue><spage>e0118859</spage><epage>e0118859</epage><pages>e0118859-e0118859</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Pleiotropic genetic variants have independent effects on different phenotypes. C-reactive protein (CRP) is associated with several cardiometabolic phenotypes. Shared genetic backgrounds may partially underlie these associations. We conducted a genome-wide analysis to identify the shared genetic background of inflammation and cardiometabolic phenotypes using published genome-wide association studies (GWAS). We also evaluated whether the pleiotropic effects of such loci were biological or mediated in nature. First, we examined whether 283 common variants identified for 10 cardiometabolic phenotypes in GWAS are associated with CRP level. Second, we tested whether 18 variants identified for serum CRP are associated with 10 cardiometabolic phenotypes. We used a Bonferroni corrected p-value of 1.1×10-04 (0.05/463) as a threshold of significance. We evaluated the independent pleiotropic effect on both phenotypes using individual level data from the Women Genome Health Study. Evaluating the genetic overlap between inflammation and cardiometabolic phenotypes, we found 13 pleiotropic regions. Additional analyses showed that 6 regions (APOC1, HNF1A, IL6R, PPP1R3B, HNF4A and IL1F10) appeared to have a pleiotropic effect on CRP independent of the effects on the cardiometabolic phenotypes. These included loci where individuals carrying the risk allele for CRP encounter higher lipid levels and risk of type 2 diabetes. In addition, 5 regions (GCKR, PABPC4, BCL7B, FTO and TMEM18) had an effect on CRP largely mediated through the cardiometabolic phenotypes. In conclusion, our results show genetic pleiotropy among inflammation and cardiometabolic phenotypes. In addition to reverse causation, our data suggests that pleiotropic genetic variants partially underlie the association between CRP and cardiometabolic phenotypes.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25768928</pmid><doi>10.1371/journal.pone.0118859</doi><oa>free_for_read</oa></addata></record> |
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subjects | Biological effects C-reactive protein C-Reactive Protein - metabolism Cardiovascular disease Cardiovascular Diseases - genetics Cardiovascular Diseases - metabolism Causation Cholesterol Consortia Coronary vessels Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Epidemiology Fasting Female Gene expression Gene loci Genetic analysis Genetic diversity Genetic Loci - genetics Genetic Pleiotropy Genetic variance Genetics Genome-Wide Association Study Genomes Genomics Glucose Health risks Hepatocyte nuclear factor 4 Humans Hypertension Inflammation Insulin Interleukin 1 Interleukin 6 Interleukin 6 receptors Lipids Loci Low density lipoprotein Meta-analysis Metabolic Diseases - genetics Metabolism Mortality Pleiotropy Polymorphism, Single Nucleotide Preventive medicine Proteins Studies Triglycerides Type 2 diabetes Womens health Working groups |
title | Pleiotropy among common genetic loci identified for cardiometabolic disorders and C-reactive protein |
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