Minority-centric meta-analyses of blood lipid levels identify novel loci in the Population Architecture using Genomics and Epidemiology (PAGE) study

Lipid levels are important markers for the development of cardio-metabolic diseases. Although hundreds of associated loci have been identified through genetic association studies, the contribution of genetic factors to variation in lipids is not fully understood, particularly in U.S. minority groups...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PLoS genetics 2020-03, Vol.16 (3), p.e1008684
Hauptverfasser: Hu, Yao, Graff, Mariaelisa, Haessler, Jeffrey, Buyske, Steven, Bien, Stephanie A, Tao, Ran, Highland, Heather M, Nishimura, Katherine K, Zubair, Niha, Lu, Yingchang, Verbanck, Marie, Hilliard, Austin T, Klarin, Derek, Damrauer, Scott M, Ho, Yuk-Lam, Wilson, Peter W F, Chang, Kyong-Mi, Tsao, Philip S, Cho, Kelly, O'Donnell, Christopher J, Assimes, Themistocles L, Petty, Lauren E, Below, Jennifer E, Dikilitas, Ozan, Schaid, Daniel J, Kosel, Matthew L, Kullo, Iftikhar J, Rasmussen-Torvik, Laura J, Jarvik, Gail P, Feng, Qiping, Wei, Wei-Qi, Larson, Eric B, Mentch, Frank D, Almoguera, Berta, Sleiman, Patrick M, Raffield, Laura M, Correa, Adolfo, Martin, Lisa W, Daviglus, Martha, Matise, Tara C, Ambite, Jose Luis, Carlson, Christopher S, Do, Ron, Loos, Ruth J F, Wilkens, Lynne R, Le Marchand, Loic, Haiman, Chris, Stram, Daniel O, Hindorff, Lucia A, North, Kari E, Kooperberg, Charles, Cheng, Iona, Peters, Ulrike
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 3
container_start_page e1008684
container_title PLoS genetics
container_volume 16
creator Hu, Yao
Graff, Mariaelisa
Haessler, Jeffrey
Buyske, Steven
Bien, Stephanie A
Tao, Ran
Highland, Heather M
Nishimura, Katherine K
Zubair, Niha
Lu, Yingchang
Verbanck, Marie
Hilliard, Austin T
Klarin, Derek
Damrauer, Scott M
Ho, Yuk-Lam
Wilson, Peter W F
Chang, Kyong-Mi
Tsao, Philip S
Cho, Kelly
O'Donnell, Christopher J
Assimes, Themistocles L
Petty, Lauren E
Below, Jennifer E
Dikilitas, Ozan
Schaid, Daniel J
Kosel, Matthew L
Kullo, Iftikhar J
Rasmussen-Torvik, Laura J
Jarvik, Gail P
Feng, Qiping
Wei, Wei-Qi
Larson, Eric B
Mentch, Frank D
Almoguera, Berta
Sleiman, Patrick M
Raffield, Laura M
Correa, Adolfo
Martin, Lisa W
Daviglus, Martha
Matise, Tara C
Ambite, Jose Luis
Carlson, Christopher S
Do, Ron
Loos, Ruth J F
Wilkens, Lynne R
Le Marchand, Loic
Haiman, Chris
Stram, Daniel O
Hindorff, Lucia A
North, Kari E
Kooperberg, Charles
Cheng, Iona
Peters, Ulrike
description Lipid levels are important markers for the development of cardio-metabolic diseases. Although hundreds of associated loci have been identified through genetic association studies, the contribution of genetic factors to variation in lipids is not fully understood, particularly in U.S. minority groups. We performed genome-wide association analyses for four lipid traits in over 45,000 ancestrally diverse participants from the Population Architecture using Genomics and Epidemiology (PAGE) Study, followed by a meta-analysis with several European ancestry studies. We identified nine novel lipid loci, five of which showed evidence of replication in independent studies. Furthermore, we discovered one novel gene in a PrediXcan analysis, minority-specific independent signals at eight previously reported loci, and potential functional variants at two known loci through fine-mapping. Systematic examination of known lipid loci revealed smaller effect estimates in African American and Hispanic ancestry populations than those in Europeans, and better performance of polygenic risk scores based on minority-specific effect estimates. Our findings provide new insight into the genetic architecture of lipid traits and highlight the importance of conducting genetic studies in diverse populations in the era of precision medicine.
doi_str_mv 10.1371/journal.pgen.1008684
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2390756341</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A619663547</galeid><doaj_id>oai_doaj_org_article_ca40beb39a0e40c49b79df873ea4e1d6</doaj_id><sourcerecordid>A619663547</sourcerecordid><originalsourceid>FETCH-LOGICAL-c593t-9d25b9bfd5eabdec0f9b9f41e92cf23e7401bc7bcfdf7dd3b53c1018e687fdbd3</originalsourceid><addsrcrecordid>eNptUltrFDEYHUSxtfoPRAO-1IdZk0nm9iIsZV0LFfugzyGXL7NZMsk6mSns__AHm-1OS1dKINdzznfJybL3BC8IrcmXbZgGL9xi14FfEIybqmEvsnNSljSvGWYvn-zPsjcxbjGmZdPWr7MzWhRFhUl1nv39YX0Y7LjPFfhxsAr1MIpcJOV9hIiCQdKFoJGzO5tmuAMXkdUJbM0e-ZDOyAVlkfVo3AC6DbvJidEGj5aD2tgR1DgNgKZofYfW4ENvVUTCa7RKitDb4EK3R5e3y_XqM4rjpPdvs1dGuAjv5vUi-_1t9evqe37zc319tbzJVdnSMW91UcpWGl2CkBoUNq1sDSPQFsoUFFLlRKpaKqNNrTWVJVUEkwaqpjZaanqRfTzq7lyIfG5o5AVtcV1WlJGEuD4idBBbvhtsL4Y9D8Ly-4swdFwMo1UOuBIMS5C0FRgYVqyVdatNU1MQDIiuktbXOdoke9D3_RbuRPT0xdsN78Idrwkri7pIApezwBD-TBBH3tuowDnhIUyHvBvWsOII_fQf9PnqZlQnUgHWm5DiqoMoX1akrSpasjqhFs-g0jh8ngoejE33JwR2JKghxDiAeayRYH7w7kMy_OBdPns30T487c8j6cGs9B-u9PAl</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2390756341</pqid></control><display><type>article</type><title>Minority-centric meta-analyses of blood lipid levels identify novel loci in the Population Architecture using Genomics and Epidemiology (PAGE) study</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Hu, Yao ; Graff, Mariaelisa ; Haessler, Jeffrey ; Buyske, Steven ; Bien, Stephanie A ; Tao, Ran ; Highland, Heather M ; Nishimura, Katherine K ; Zubair, Niha ; Lu, Yingchang ; Verbanck, Marie ; Hilliard, Austin T ; Klarin, Derek ; Damrauer, Scott M ; Ho, Yuk-Lam ; Wilson, Peter W F ; Chang, Kyong-Mi ; Tsao, Philip S ; Cho, Kelly ; O'Donnell, Christopher J ; Assimes, Themistocles L ; Petty, Lauren E ; Below, Jennifer E ; Dikilitas, Ozan ; Schaid, Daniel J ; Kosel, Matthew L ; Kullo, Iftikhar J ; Rasmussen-Torvik, Laura J ; Jarvik, Gail P ; Feng, Qiping ; Wei, Wei-Qi ; Larson, Eric B ; Mentch, Frank D ; Almoguera, Berta ; Sleiman, Patrick M ; Raffield, Laura M ; Correa, Adolfo ; Martin, Lisa W ; Daviglus, Martha ; Matise, Tara C ; Ambite, Jose Luis ; Carlson, Christopher S ; Do, Ron ; Loos, Ruth J F ; Wilkens, Lynne R ; Le Marchand, Loic ; Haiman, Chris ; Stram, Daniel O ; Hindorff, Lucia A ; North, Kari E ; Kooperberg, Charles ; Cheng, Iona ; Peters, Ulrike</creator><contributor>Barsh, Gregory S.</contributor><creatorcontrib>Hu, Yao ; Graff, Mariaelisa ; Haessler, Jeffrey ; Buyske, Steven ; Bien, Stephanie A ; Tao, Ran ; Highland, Heather M ; Nishimura, Katherine K ; Zubair, Niha ; Lu, Yingchang ; Verbanck, Marie ; Hilliard, Austin T ; Klarin, Derek ; Damrauer, Scott M ; Ho, Yuk-Lam ; Wilson, Peter W F ; Chang, Kyong-Mi ; Tsao, Philip S ; Cho, Kelly ; O'Donnell, Christopher J ; Assimes, Themistocles L ; Petty, Lauren E ; Below, Jennifer E ; Dikilitas, Ozan ; Schaid, Daniel J ; Kosel, Matthew L ; Kullo, Iftikhar J ; Rasmussen-Torvik, Laura J ; Jarvik, Gail P ; Feng, Qiping ; Wei, Wei-Qi ; Larson, Eric B ; Mentch, Frank D ; Almoguera, Berta ; Sleiman, Patrick M ; Raffield, Laura M ; Correa, Adolfo ; Martin, Lisa W ; Daviglus, Martha ; Matise, Tara C ; Ambite, Jose Luis ; Carlson, Christopher S ; Do, Ron ; Loos, Ruth J F ; Wilkens, Lynne R ; Le Marchand, Loic ; Haiman, Chris ; Stram, Daniel O ; Hindorff, Lucia A ; North, Kari E ; Kooperberg, Charles ; Cheng, Iona ; Peters, Ulrike ; VA Million Veteran Program ; the VA Million Veteran Program ; Barsh, Gregory S.</creatorcontrib><description>Lipid levels are important markers for the development of cardio-metabolic diseases. Although hundreds of associated loci have been identified through genetic association studies, the contribution of genetic factors to variation in lipids is not fully understood, particularly in U.S. minority groups. We performed genome-wide association analyses for four lipid traits in over 45,000 ancestrally diverse participants from the Population Architecture using Genomics and Epidemiology (PAGE) Study, followed by a meta-analysis with several European ancestry studies. We identified nine novel lipid loci, five of which showed evidence of replication in independent studies. Furthermore, we discovered one novel gene in a PrediXcan analysis, minority-specific independent signals at eight previously reported loci, and potential functional variants at two known loci through fine-mapping. Systematic examination of known lipid loci revealed smaller effect estimates in African American and Hispanic ancestry populations than those in Europeans, and better performance of polygenic risk scores based on minority-specific effect estimates. Our findings provide new insight into the genetic architecture of lipid traits and highlight the importance of conducting genetic studies in diverse populations in the era of precision medicine.</description><identifier>ISSN: 1553-7404</identifier><identifier>ISSN: 1553-7390</identifier><identifier>EISSN: 1553-7404</identifier><identifier>DOI: 10.1371/journal.pgen.1008684</identifier><identifier>PMID: 32226016</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>African Americans ; Analysis ; Authorship ; Biology and Life Sciences ; Cancer ; Children &amp; youth ; Databases, Genetic ; Diseases ; Environmental science ; Epidemiology ; Europeans ; Female ; Funding ; Gene mapping ; Genes ; Genetic diversity ; Genetic factors ; Genetics ; Genome-Wide Association Study - methods ; Genomes ; Genomics ; Genotype ; Health care policy ; Health sciences ; Hospitals ; Humans ; Lipids ; Lipids - analysis ; Lipids - blood ; Lipids - genetics ; Male ; Medical research ; Metabolic disorders ; Metagenomics - methods ; Minority &amp; ethnic groups ; Minority Groups ; Multifactorial Inheritance - genetics ; Novels ; People and Places ; Phenotype ; Physical Sciences ; Polygenic inheritance ; Polymorphism, Single Nucleotide - genetics ; Population genetics ; Population studies ; Precision medicine ; Preventive medicine ; Public health ; Racial Groups - genetics ; Research and Analysis Methods ; Software ; Supervision ; Type 2 diabetes ; United States - epidemiology ; Veterans</subject><ispartof>PLoS genetics, 2020-03, Vol.16 (3), p.e1008684</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c593t-9d25b9bfd5eabdec0f9b9f41e92cf23e7401bc7bcfdf7dd3b53c1018e687fdbd3</citedby><cites>FETCH-LOGICAL-c593t-9d25b9bfd5eabdec0f9b9f41e92cf23e7401bc7bcfdf7dd3b53c1018e687fdbd3</cites><orcidid>0000-0001-6380-1735 ; 0000-0003-1108-6164 ; 0000-0002-6372-6402 ; 0000-0002-7147-492X ; 0000-0001-5666-9318 ; 0000-0001-7274-9318 ; 0000-0002-1669-572X ; 0000-0003-2349-0009 ; 0000-0002-3144-3627 ; 0000-0001-8009-1632 ; 0000-0003-3950-4495 ; 0000-0001-9874-8532 ; 0000-0003-3305-3830 ; 0000-0001-7099-9022 ; 0000-0001-6811-9364 ; 0000-0002-6213-793X ; 0000-0002-4414-3236 ; 0000-0002-6710-8708 ; 0000-0002-8532-5087 ; 0000-0002-2810-646X ; 0000-0002-4636-5780 ; 0000-0002-7892-193X ; 0000-0003-4985-056X ; 0000-0002-9906-8608 ; 0000-0002-3583-8239 ; 0000-0002-9501-600X ; 0000-0003-4132-2893 ; 0000-0001-8539-5416 ; 0000-0002-8713-4583 ; 0000-0003-0561-3538</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145272/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145272/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32226016$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Barsh, Gregory S.</contributor><creatorcontrib>Hu, Yao</creatorcontrib><creatorcontrib>Graff, Mariaelisa</creatorcontrib><creatorcontrib>Haessler, Jeffrey</creatorcontrib><creatorcontrib>Buyske, Steven</creatorcontrib><creatorcontrib>Bien, Stephanie A</creatorcontrib><creatorcontrib>Tao, Ran</creatorcontrib><creatorcontrib>Highland, Heather M</creatorcontrib><creatorcontrib>Nishimura, Katherine K</creatorcontrib><creatorcontrib>Zubair, Niha</creatorcontrib><creatorcontrib>Lu, Yingchang</creatorcontrib><creatorcontrib>Verbanck, Marie</creatorcontrib><creatorcontrib>Hilliard, Austin T</creatorcontrib><creatorcontrib>Klarin, Derek</creatorcontrib><creatorcontrib>Damrauer, Scott M</creatorcontrib><creatorcontrib>Ho, Yuk-Lam</creatorcontrib><creatorcontrib>Wilson, Peter W F</creatorcontrib><creatorcontrib>Chang, Kyong-Mi</creatorcontrib><creatorcontrib>Tsao, Philip S</creatorcontrib><creatorcontrib>Cho, Kelly</creatorcontrib><creatorcontrib>O'Donnell, Christopher J</creatorcontrib><creatorcontrib>Assimes, Themistocles L</creatorcontrib><creatorcontrib>Petty, Lauren E</creatorcontrib><creatorcontrib>Below, Jennifer E</creatorcontrib><creatorcontrib>Dikilitas, Ozan</creatorcontrib><creatorcontrib>Schaid, Daniel J</creatorcontrib><creatorcontrib>Kosel, Matthew L</creatorcontrib><creatorcontrib>Kullo, Iftikhar J</creatorcontrib><creatorcontrib>Rasmussen-Torvik, Laura J</creatorcontrib><creatorcontrib>Jarvik, Gail P</creatorcontrib><creatorcontrib>Feng, Qiping</creatorcontrib><creatorcontrib>Wei, Wei-Qi</creatorcontrib><creatorcontrib>Larson, Eric B</creatorcontrib><creatorcontrib>Mentch, Frank D</creatorcontrib><creatorcontrib>Almoguera, Berta</creatorcontrib><creatorcontrib>Sleiman, Patrick M</creatorcontrib><creatorcontrib>Raffield, Laura M</creatorcontrib><creatorcontrib>Correa, Adolfo</creatorcontrib><creatorcontrib>Martin, Lisa W</creatorcontrib><creatorcontrib>Daviglus, Martha</creatorcontrib><creatorcontrib>Matise, Tara C</creatorcontrib><creatorcontrib>Ambite, Jose Luis</creatorcontrib><creatorcontrib>Carlson, Christopher S</creatorcontrib><creatorcontrib>Do, Ron</creatorcontrib><creatorcontrib>Loos, Ruth J F</creatorcontrib><creatorcontrib>Wilkens, Lynne R</creatorcontrib><creatorcontrib>Le Marchand, Loic</creatorcontrib><creatorcontrib>Haiman, Chris</creatorcontrib><creatorcontrib>Stram, Daniel O</creatorcontrib><creatorcontrib>Hindorff, Lucia A</creatorcontrib><creatorcontrib>North, Kari E</creatorcontrib><creatorcontrib>Kooperberg, Charles</creatorcontrib><creatorcontrib>Cheng, Iona</creatorcontrib><creatorcontrib>Peters, Ulrike</creatorcontrib><creatorcontrib>VA Million Veteran Program</creatorcontrib><creatorcontrib>the VA Million Veteran Program</creatorcontrib><title>Minority-centric meta-analyses of blood lipid levels identify novel loci in the Population Architecture using Genomics and Epidemiology (PAGE) study</title><title>PLoS genetics</title><addtitle>PLoS Genet</addtitle><description>Lipid levels are important markers for the development of cardio-metabolic diseases. Although hundreds of associated loci have been identified through genetic association studies, the contribution of genetic factors to variation in lipids is not fully understood, particularly in U.S. minority groups. We performed genome-wide association analyses for four lipid traits in over 45,000 ancestrally diverse participants from the Population Architecture using Genomics and Epidemiology (PAGE) Study, followed by a meta-analysis with several European ancestry studies. We identified nine novel lipid loci, five of which showed evidence of replication in independent studies. Furthermore, we discovered one novel gene in a PrediXcan analysis, minority-specific independent signals at eight previously reported loci, and potential functional variants at two known loci through fine-mapping. Systematic examination of known lipid loci revealed smaller effect estimates in African American and Hispanic ancestry populations than those in Europeans, and better performance of polygenic risk scores based on minority-specific effect estimates. Our findings provide new insight into the genetic architecture of lipid traits and highlight the importance of conducting genetic studies in diverse populations in the era of precision medicine.</description><subject>African Americans</subject><subject>Analysis</subject><subject>Authorship</subject><subject>Biology and Life Sciences</subject><subject>Cancer</subject><subject>Children &amp; youth</subject><subject>Databases, Genetic</subject><subject>Diseases</subject><subject>Environmental science</subject><subject>Epidemiology</subject><subject>Europeans</subject><subject>Female</subject><subject>Funding</subject><subject>Gene mapping</subject><subject>Genes</subject><subject>Genetic diversity</subject><subject>Genetic factors</subject><subject>Genetics</subject><subject>Genome-Wide Association Study - methods</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Genotype</subject><subject>Health care policy</subject><subject>Health sciences</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Lipids</subject><subject>Lipids - analysis</subject><subject>Lipids - blood</subject><subject>Lipids - genetics</subject><subject>Male</subject><subject>Medical research</subject><subject>Metabolic disorders</subject><subject>Metagenomics - methods</subject><subject>Minority &amp; ethnic groups</subject><subject>Minority Groups</subject><subject>Multifactorial Inheritance - genetics</subject><subject>Novels</subject><subject>People and Places</subject><subject>Phenotype</subject><subject>Physical Sciences</subject><subject>Polygenic inheritance</subject><subject>Polymorphism, Single Nucleotide - genetics</subject><subject>Population genetics</subject><subject>Population studies</subject><subject>Precision medicine</subject><subject>Preventive medicine</subject><subject>Public health</subject><subject>Racial Groups - genetics</subject><subject>Research and Analysis Methods</subject><subject>Software</subject><subject>Supervision</subject><subject>Type 2 diabetes</subject><subject>United States - epidemiology</subject><subject>Veterans</subject><issn>1553-7404</issn><issn>1553-7390</issn><issn>1553-7404</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNptUltrFDEYHUSxtfoPRAO-1IdZk0nm9iIsZV0LFfugzyGXL7NZMsk6mSns__AHm-1OS1dKINdzznfJybL3BC8IrcmXbZgGL9xi14FfEIybqmEvsnNSljSvGWYvn-zPsjcxbjGmZdPWr7MzWhRFhUl1nv39YX0Y7LjPFfhxsAr1MIpcJOV9hIiCQdKFoJGzO5tmuAMXkdUJbM0e-ZDOyAVlkfVo3AC6DbvJidEGj5aD2tgR1DgNgKZofYfW4ENvVUTCa7RKitDb4EK3R5e3y_XqM4rjpPdvs1dGuAjv5vUi-_1t9evqe37zc319tbzJVdnSMW91UcpWGl2CkBoUNq1sDSPQFsoUFFLlRKpaKqNNrTWVJVUEkwaqpjZaanqRfTzq7lyIfG5o5AVtcV1WlJGEuD4idBBbvhtsL4Y9D8Ly-4swdFwMo1UOuBIMS5C0FRgYVqyVdatNU1MQDIiuktbXOdoke9D3_RbuRPT0xdsN78Idrwkri7pIApezwBD-TBBH3tuowDnhIUyHvBvWsOII_fQf9PnqZlQnUgHWm5DiqoMoX1akrSpasjqhFs-g0jh8ngoejE33JwR2JKghxDiAeayRYH7w7kMy_OBdPns30T487c8j6cGs9B-u9PAl</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Hu, Yao</creator><creator>Graff, Mariaelisa</creator><creator>Haessler, Jeffrey</creator><creator>Buyske, Steven</creator><creator>Bien, Stephanie A</creator><creator>Tao, Ran</creator><creator>Highland, Heather M</creator><creator>Nishimura, Katherine K</creator><creator>Zubair, Niha</creator><creator>Lu, Yingchang</creator><creator>Verbanck, Marie</creator><creator>Hilliard, Austin T</creator><creator>Klarin, Derek</creator><creator>Damrauer, Scott M</creator><creator>Ho, Yuk-Lam</creator><creator>Wilson, Peter W F</creator><creator>Chang, Kyong-Mi</creator><creator>Tsao, Philip S</creator><creator>Cho, Kelly</creator><creator>O'Donnell, Christopher J</creator><creator>Assimes, Themistocles L</creator><creator>Petty, Lauren E</creator><creator>Below, Jennifer E</creator><creator>Dikilitas, Ozan</creator><creator>Schaid, Daniel J</creator><creator>Kosel, Matthew L</creator><creator>Kullo, Iftikhar J</creator><creator>Rasmussen-Torvik, Laura J</creator><creator>Jarvik, Gail P</creator><creator>Feng, Qiping</creator><creator>Wei, Wei-Qi</creator><creator>Larson, Eric B</creator><creator>Mentch, Frank D</creator><creator>Almoguera, Berta</creator><creator>Sleiman, Patrick M</creator><creator>Raffield, Laura M</creator><creator>Correa, Adolfo</creator><creator>Martin, Lisa W</creator><creator>Daviglus, Martha</creator><creator>Matise, Tara C</creator><creator>Ambite, Jose Luis</creator><creator>Carlson, Christopher S</creator><creator>Do, Ron</creator><creator>Loos, Ruth J F</creator><creator>Wilkens, Lynne R</creator><creator>Le Marchand, Loic</creator><creator>Haiman, Chris</creator><creator>Stram, Daniel O</creator><creator>Hindorff, Lucia A</creator><creator>North, Kari E</creator><creator>Kooperberg, Charles</creator><creator>Cheng, Iona</creator><creator>Peters, Ulrike</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>3V.</scope><scope>7QP</scope><scope>7QR</scope><scope>7SS</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</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>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-6380-1735</orcidid><orcidid>https://orcid.org/0000-0003-1108-6164</orcidid><orcidid>https://orcid.org/0000-0002-6372-6402</orcidid><orcidid>https://orcid.org/0000-0002-7147-492X</orcidid><orcidid>https://orcid.org/0000-0001-5666-9318</orcidid><orcidid>https://orcid.org/0000-0001-7274-9318</orcidid><orcidid>https://orcid.org/0000-0002-1669-572X</orcidid><orcidid>https://orcid.org/0000-0003-2349-0009</orcidid><orcidid>https://orcid.org/0000-0002-3144-3627</orcidid><orcidid>https://orcid.org/0000-0001-8009-1632</orcidid><orcidid>https://orcid.org/0000-0003-3950-4495</orcidid><orcidid>https://orcid.org/0000-0001-9874-8532</orcidid><orcidid>https://orcid.org/0000-0003-3305-3830</orcidid><orcidid>https://orcid.org/0000-0001-7099-9022</orcidid><orcidid>https://orcid.org/0000-0001-6811-9364</orcidid><orcidid>https://orcid.org/0000-0002-6213-793X</orcidid><orcidid>https://orcid.org/0000-0002-4414-3236</orcidid><orcidid>https://orcid.org/0000-0002-6710-8708</orcidid><orcidid>https://orcid.org/0000-0002-8532-5087</orcidid><orcidid>https://orcid.org/0000-0002-2810-646X</orcidid><orcidid>https://orcid.org/0000-0002-4636-5780</orcidid><orcidid>https://orcid.org/0000-0002-7892-193X</orcidid><orcidid>https://orcid.org/0000-0003-4985-056X</orcidid><orcidid>https://orcid.org/0000-0002-9906-8608</orcidid><orcidid>https://orcid.org/0000-0002-3583-8239</orcidid><orcidid>https://orcid.org/0000-0002-9501-600X</orcidid><orcidid>https://orcid.org/0000-0003-4132-2893</orcidid><orcidid>https://orcid.org/0000-0001-8539-5416</orcidid><orcidid>https://orcid.org/0000-0002-8713-4583</orcidid><orcidid>https://orcid.org/0000-0003-0561-3538</orcidid></search><sort><creationdate>20200301</creationdate><title>Minority-centric meta-analyses of blood lipid levels identify novel loci in the Population Architecture using Genomics and Epidemiology (PAGE) study</title><author>Hu, Yao ; Graff, Mariaelisa ; Haessler, Jeffrey ; Buyske, Steven ; Bien, Stephanie A ; Tao, Ran ; Highland, Heather M ; Nishimura, Katherine K ; Zubair, Niha ; Lu, Yingchang ; Verbanck, Marie ; Hilliard, Austin T ; Klarin, Derek ; Damrauer, Scott M ; Ho, Yuk-Lam ; Wilson, Peter W F ; Chang, Kyong-Mi ; Tsao, Philip S ; Cho, Kelly ; O'Donnell, Christopher J ; Assimes, Themistocles L ; Petty, Lauren E ; Below, Jennifer E ; Dikilitas, Ozan ; Schaid, Daniel J ; Kosel, Matthew L ; Kullo, Iftikhar J ; Rasmussen-Torvik, Laura J ; Jarvik, Gail P ; Feng, Qiping ; Wei, Wei-Qi ; Larson, Eric B ; Mentch, Frank D ; Almoguera, Berta ; Sleiman, Patrick M ; Raffield, Laura M ; Correa, Adolfo ; Martin, Lisa W ; Daviglus, Martha ; Matise, Tara C ; Ambite, Jose Luis ; Carlson, Christopher S ; Do, Ron ; Loos, Ruth J F ; Wilkens, Lynne R ; Le Marchand, Loic ; Haiman, Chris ; Stram, Daniel O ; Hindorff, Lucia A ; North, Kari E ; Kooperberg, Charles ; Cheng, Iona ; Peters, Ulrike</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c593t-9d25b9bfd5eabdec0f9b9f41e92cf23e7401bc7bcfdf7dd3b53c1018e687fdbd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>African Americans</topic><topic>Analysis</topic><topic>Authorship</topic><topic>Biology and Life Sciences</topic><topic>Cancer</topic><topic>Children &amp; youth</topic><topic>Databases, Genetic</topic><topic>Diseases</topic><topic>Environmental science</topic><topic>Epidemiology</topic><topic>Europeans</topic><topic>Female</topic><topic>Funding</topic><topic>Gene mapping</topic><topic>Genes</topic><topic>Genetic diversity</topic><topic>Genetic factors</topic><topic>Genetics</topic><topic>Genome-Wide Association Study - methods</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Genotype</topic><topic>Health care policy</topic><topic>Health sciences</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Lipids</topic><topic>Lipids - analysis</topic><topic>Lipids - blood</topic><topic>Lipids - genetics</topic><topic>Male</topic><topic>Medical research</topic><topic>Metabolic disorders</topic><topic>Metagenomics - methods</topic><topic>Minority &amp; ethnic groups</topic><topic>Minority Groups</topic><topic>Multifactorial Inheritance - genetics</topic><topic>Novels</topic><topic>People and Places</topic><topic>Phenotype</topic><topic>Physical Sciences</topic><topic>Polygenic inheritance</topic><topic>Polymorphism, Single Nucleotide - genetics</topic><topic>Population genetics</topic><topic>Population studies</topic><topic>Precision medicine</topic><topic>Preventive medicine</topic><topic>Public health</topic><topic>Racial Groups - genetics</topic><topic>Research and Analysis Methods</topic><topic>Software</topic><topic>Supervision</topic><topic>Type 2 diabetes</topic><topic>United States - epidemiology</topic><topic>Veterans</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Yao</creatorcontrib><creatorcontrib>Graff, Mariaelisa</creatorcontrib><creatorcontrib>Haessler, Jeffrey</creatorcontrib><creatorcontrib>Buyske, Steven</creatorcontrib><creatorcontrib>Bien, Stephanie A</creatorcontrib><creatorcontrib>Tao, Ran</creatorcontrib><creatorcontrib>Highland, Heather M</creatorcontrib><creatorcontrib>Nishimura, Katherine K</creatorcontrib><creatorcontrib>Zubair, Niha</creatorcontrib><creatorcontrib>Lu, Yingchang</creatorcontrib><creatorcontrib>Verbanck, Marie</creatorcontrib><creatorcontrib>Hilliard, Austin T</creatorcontrib><creatorcontrib>Klarin, Derek</creatorcontrib><creatorcontrib>Damrauer, Scott M</creatorcontrib><creatorcontrib>Ho, Yuk-Lam</creatorcontrib><creatorcontrib>Wilson, Peter W F</creatorcontrib><creatorcontrib>Chang, Kyong-Mi</creatorcontrib><creatorcontrib>Tsao, Philip S</creatorcontrib><creatorcontrib>Cho, Kelly</creatorcontrib><creatorcontrib>O'Donnell, Christopher J</creatorcontrib><creatorcontrib>Assimes, Themistocles L</creatorcontrib><creatorcontrib>Petty, Lauren E</creatorcontrib><creatorcontrib>Below, Jennifer E</creatorcontrib><creatorcontrib>Dikilitas, Ozan</creatorcontrib><creatorcontrib>Schaid, Daniel J</creatorcontrib><creatorcontrib>Kosel, Matthew L</creatorcontrib><creatorcontrib>Kullo, Iftikhar J</creatorcontrib><creatorcontrib>Rasmussen-Torvik, Laura J</creatorcontrib><creatorcontrib>Jarvik, Gail P</creatorcontrib><creatorcontrib>Feng, Qiping</creatorcontrib><creatorcontrib>Wei, Wei-Qi</creatorcontrib><creatorcontrib>Larson, Eric B</creatorcontrib><creatorcontrib>Mentch, Frank D</creatorcontrib><creatorcontrib>Almoguera, Berta</creatorcontrib><creatorcontrib>Sleiman, Patrick M</creatorcontrib><creatorcontrib>Raffield, Laura M</creatorcontrib><creatorcontrib>Correa, Adolfo</creatorcontrib><creatorcontrib>Martin, Lisa W</creatorcontrib><creatorcontrib>Daviglus, Martha</creatorcontrib><creatorcontrib>Matise, Tara C</creatorcontrib><creatorcontrib>Ambite, Jose Luis</creatorcontrib><creatorcontrib>Carlson, Christopher S</creatorcontrib><creatorcontrib>Do, Ron</creatorcontrib><creatorcontrib>Loos, Ruth J F</creatorcontrib><creatorcontrib>Wilkens, Lynne R</creatorcontrib><creatorcontrib>Le Marchand, Loic</creatorcontrib><creatorcontrib>Haiman, Chris</creatorcontrib><creatorcontrib>Stram, Daniel O</creatorcontrib><creatorcontrib>Hindorff, Lucia A</creatorcontrib><creatorcontrib>North, Kari E</creatorcontrib><creatorcontrib>Kooperberg, Charles</creatorcontrib><creatorcontrib>Cheng, Iona</creatorcontrib><creatorcontrib>Peters, Ulrike</creatorcontrib><creatorcontrib>VA Million Veteran Program</creatorcontrib><creatorcontrib>the VA Million Veteran Program</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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>ProQuest Central (Alumni Edition)</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>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 &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Access via ProQuest (Open Access)</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><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Yao</au><au>Graff, Mariaelisa</au><au>Haessler, Jeffrey</au><au>Buyske, Steven</au><au>Bien, Stephanie A</au><au>Tao, Ran</au><au>Highland, Heather M</au><au>Nishimura, Katherine K</au><au>Zubair, Niha</au><au>Lu, Yingchang</au><au>Verbanck, Marie</au><au>Hilliard, Austin T</au><au>Klarin, Derek</au><au>Damrauer, Scott M</au><au>Ho, Yuk-Lam</au><au>Wilson, Peter W F</au><au>Chang, Kyong-Mi</au><au>Tsao, Philip S</au><au>Cho, Kelly</au><au>O'Donnell, Christopher J</au><au>Assimes, Themistocles L</au><au>Petty, Lauren E</au><au>Below, Jennifer E</au><au>Dikilitas, Ozan</au><au>Schaid, Daniel J</au><au>Kosel, Matthew L</au><au>Kullo, Iftikhar J</au><au>Rasmussen-Torvik, Laura J</au><au>Jarvik, Gail P</au><au>Feng, Qiping</au><au>Wei, Wei-Qi</au><au>Larson, Eric B</au><au>Mentch, Frank D</au><au>Almoguera, Berta</au><au>Sleiman, Patrick M</au><au>Raffield, Laura M</au><au>Correa, Adolfo</au><au>Martin, Lisa W</au><au>Daviglus, Martha</au><au>Matise, Tara C</au><au>Ambite, Jose Luis</au><au>Carlson, Christopher S</au><au>Do, Ron</au><au>Loos, Ruth J F</au><au>Wilkens, Lynne R</au><au>Le Marchand, Loic</au><au>Haiman, Chris</au><au>Stram, Daniel O</au><au>Hindorff, Lucia A</au><au>North, Kari E</au><au>Kooperberg, Charles</au><au>Cheng, Iona</au><au>Peters, Ulrike</au><au>Barsh, Gregory S.</au><aucorp>VA Million Veteran Program</aucorp><aucorp>the VA Million Veteran Program</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Minority-centric meta-analyses of blood lipid levels identify novel loci in the Population Architecture using Genomics and Epidemiology (PAGE) study</atitle><jtitle>PLoS genetics</jtitle><addtitle>PLoS Genet</addtitle><date>2020-03-01</date><risdate>2020</risdate><volume>16</volume><issue>3</issue><spage>e1008684</spage><pages>e1008684-</pages><issn>1553-7404</issn><issn>1553-7390</issn><eissn>1553-7404</eissn><abstract>Lipid levels are important markers for the development of cardio-metabolic diseases. Although hundreds of associated loci have been identified through genetic association studies, the contribution of genetic factors to variation in lipids is not fully understood, particularly in U.S. minority groups. We performed genome-wide association analyses for four lipid traits in over 45,000 ancestrally diverse participants from the Population Architecture using Genomics and Epidemiology (PAGE) Study, followed by a meta-analysis with several European ancestry studies. We identified nine novel lipid loci, five of which showed evidence of replication in independent studies. Furthermore, we discovered one novel gene in a PrediXcan analysis, minority-specific independent signals at eight previously reported loci, and potential functional variants at two known loci through fine-mapping. Systematic examination of known lipid loci revealed smaller effect estimates in African American and Hispanic ancestry populations than those in Europeans, and better performance of polygenic risk scores based on minority-specific effect estimates. Our findings provide new insight into the genetic architecture of lipid traits and highlight the importance of conducting genetic studies in diverse populations in the era of precision medicine.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32226016</pmid><doi>10.1371/journal.pgen.1008684</doi><orcidid>https://orcid.org/0000-0001-6380-1735</orcidid><orcidid>https://orcid.org/0000-0003-1108-6164</orcidid><orcidid>https://orcid.org/0000-0002-6372-6402</orcidid><orcidid>https://orcid.org/0000-0002-7147-492X</orcidid><orcidid>https://orcid.org/0000-0001-5666-9318</orcidid><orcidid>https://orcid.org/0000-0001-7274-9318</orcidid><orcidid>https://orcid.org/0000-0002-1669-572X</orcidid><orcidid>https://orcid.org/0000-0003-2349-0009</orcidid><orcidid>https://orcid.org/0000-0002-3144-3627</orcidid><orcidid>https://orcid.org/0000-0001-8009-1632</orcidid><orcidid>https://orcid.org/0000-0003-3950-4495</orcidid><orcidid>https://orcid.org/0000-0001-9874-8532</orcidid><orcidid>https://orcid.org/0000-0003-3305-3830</orcidid><orcidid>https://orcid.org/0000-0001-7099-9022</orcidid><orcidid>https://orcid.org/0000-0001-6811-9364</orcidid><orcidid>https://orcid.org/0000-0002-6213-793X</orcidid><orcidid>https://orcid.org/0000-0002-4414-3236</orcidid><orcidid>https://orcid.org/0000-0002-6710-8708</orcidid><orcidid>https://orcid.org/0000-0002-8532-5087</orcidid><orcidid>https://orcid.org/0000-0002-2810-646X</orcidid><orcidid>https://orcid.org/0000-0002-4636-5780</orcidid><orcidid>https://orcid.org/0000-0002-7892-193X</orcidid><orcidid>https://orcid.org/0000-0003-4985-056X</orcidid><orcidid>https://orcid.org/0000-0002-9906-8608</orcidid><orcidid>https://orcid.org/0000-0002-3583-8239</orcidid><orcidid>https://orcid.org/0000-0002-9501-600X</orcidid><orcidid>https://orcid.org/0000-0003-4132-2893</orcidid><orcidid>https://orcid.org/0000-0001-8539-5416</orcidid><orcidid>https://orcid.org/0000-0002-8713-4583</orcidid><orcidid>https://orcid.org/0000-0003-0561-3538</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1553-7404
ispartof PLoS genetics, 2020-03, Vol.16 (3), p.e1008684
issn 1553-7404
1553-7390
1553-7404
language eng
recordid cdi_plos_journals_2390756341
source MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects African Americans
Analysis
Authorship
Biology and Life Sciences
Cancer
Children & youth
Databases, Genetic
Diseases
Environmental science
Epidemiology
Europeans
Female
Funding
Gene mapping
Genes
Genetic diversity
Genetic factors
Genetics
Genome-Wide Association Study - methods
Genomes
Genomics
Genotype
Health care policy
Health sciences
Hospitals
Humans
Lipids
Lipids - analysis
Lipids - blood
Lipids - genetics
Male
Medical research
Metabolic disorders
Metagenomics - methods
Minority & ethnic groups
Minority Groups
Multifactorial Inheritance - genetics
Novels
People and Places
Phenotype
Physical Sciences
Polygenic inheritance
Polymorphism, Single Nucleotide - genetics
Population genetics
Population studies
Precision medicine
Preventive medicine
Public health
Racial Groups - genetics
Research and Analysis Methods
Software
Supervision
Type 2 diabetes
United States - epidemiology
Veterans
title Minority-centric meta-analyses of blood lipid levels identify novel loci in the Population Architecture using Genomics and Epidemiology (PAGE) study
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T09%3A40%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Minority-centric%20meta-analyses%20of%20blood%20lipid%20levels%20identify%20novel%20loci%20in%20the%20Population%20Architecture%20using%20Genomics%20and%20Epidemiology%20(PAGE)%20study&rft.jtitle=PLoS%20genetics&rft.au=Hu,%20Yao&rft.aucorp=VA%20Million%20Veteran%20Program&rft.date=2020-03-01&rft.volume=16&rft.issue=3&rft.spage=e1008684&rft.pages=e1008684-&rft.issn=1553-7404&rft.eissn=1553-7404&rft_id=info:doi/10.1371/journal.pgen.1008684&rft_dat=%3Cgale_plos_%3EA619663547%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2390756341&rft_id=info:pmid/32226016&rft_galeid=A619663547&rft_doaj_id=oai_doaj_org_article_ca40beb39a0e40c49b79df873ea4e1d6&rfr_iscdi=true