Integrative genomic analysis in African American children with asthma finds three novel loci associated with lung function
Bronchodilator (BD) drugs are commonly prescribed for treatment and management of obstructive lung function present with diseases such as asthma. Administration of BD medication can partially or fully restore lung function as measured by pulmonary function tests. The genetics of baseline lung functi...
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Veröffentlicht in: | Genetic epidemiology 2021-03, Vol.45 (2), p.190-208 |
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creator | Goddard, Pagé C. Keys, Kevin L. Mak, Angel C. Y. Lee, Eunice Y. Liu, Amy K. Samedy‐Bates, Lesly‐Anne Risse‐Adams, Oona Contreras, María G. Elhawary, Jennifer R. Hu, Donglei Huntsman, Scott Oh, Sam S. Salazar, Sandra Eng, Celeste Himes, Blanca E. White, Marquitta J. Burchard, Esteban G. |
description | Bronchodilator (BD) drugs are commonly prescribed for treatment and management of obstructive lung function present with diseases such as asthma. Administration of BD medication can partially or fully restore lung function as measured by pulmonary function tests. The genetics of baseline lung function measures taken before BD medication have been extensively studied, and the genetics of the BD response itself have received some attention. However, few studies have focused on the genetics of post‐BD lung function. To address this gap, we analyzed lung function phenotypes in 1103 subjects from the Study of African Americans, Asthma, Genes, and Environment, a pediatric asthma case–control cohort, using an integrative genomic analysis approach that combined genotype, locus‐specific genetic ancestry, and functional annotation information. We integrated genome‐wide association study (GWAS) results with an admixture mapping scan of three pulmonary function tests (forced expiratory volume in 1 s [FEV1], forced vital capacity [FVC], and FEV1/FVC) taken before and after albuterol BD administration on the same subjects, yielding six traits. We identified 18 GWAS loci, and five additional loci from admixture mapping, spanning several known and novel lung function candidate genes. Most loci identified via admixture mapping exhibited wide variation in minor allele frequency across genotyped global populations. Functional fine‐mapping revealed an enrichment of epigenetic annotations from peripheral blood mononuclear cells, fetal lung tissue, and lung fibroblasts. Our results point to three novel potential genetic drivers of pre‐ and post‐BD lung function: ADAMTS1, RAD54B, and EGLN3. |
doi_str_mv | 10.1002/gepi.22365 |
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Y. ; Lee, Eunice Y. ; Liu, Amy K. ; Samedy‐Bates, Lesly‐Anne ; Risse‐Adams, Oona ; Contreras, María G. ; Elhawary, Jennifer R. ; Hu, Donglei ; Huntsman, Scott ; Oh, Sam S. ; Salazar, Sandra ; Eng, Celeste ; Himes, Blanca E. ; White, Marquitta J. ; Burchard, Esteban G.</creator><creatorcontrib>Goddard, Pagé C. ; Keys, Kevin L. ; Mak, Angel C. Y. ; Lee, Eunice Y. ; Liu, Amy K. ; Samedy‐Bates, Lesly‐Anne ; Risse‐Adams, Oona ; Contreras, María G. ; Elhawary, Jennifer R. ; Hu, Donglei ; Huntsman, Scott ; Oh, Sam S. ; Salazar, Sandra ; Eng, Celeste ; Himes, Blanca E. ; White, Marquitta J. ; Burchard, Esteban G.</creatorcontrib><description>Bronchodilator (BD) drugs are commonly prescribed for treatment and management of obstructive lung function present with diseases such as asthma. Administration of BD medication can partially or fully restore lung function as measured by pulmonary function tests. The genetics of baseline lung function measures taken before BD medication have been extensively studied, and the genetics of the BD response itself have received some attention. However, few studies have focused on the genetics of post‐BD lung function. To address this gap, we analyzed lung function phenotypes in 1103 subjects from the Study of African Americans, Asthma, Genes, and Environment, a pediatric asthma case–control cohort, using an integrative genomic analysis approach that combined genotype, locus‐specific genetic ancestry, and functional annotation information. We integrated genome‐wide association study (GWAS) results with an admixture mapping scan of three pulmonary function tests (forced expiratory volume in 1 s [FEV1], forced vital capacity [FVC], and FEV1/FVC) taken before and after albuterol BD administration on the same subjects, yielding six traits. We identified 18 GWAS loci, and five additional loci from admixture mapping, spanning several known and novel lung function candidate genes. Most loci identified via admixture mapping exhibited wide variation in minor allele frequency across genotyped global populations. Functional fine‐mapping revealed an enrichment of epigenetic annotations from peripheral blood mononuclear cells, fetal lung tissue, and lung fibroblasts. Our results point to three novel potential genetic drivers of pre‐ and post‐BD lung function: ADAMTS1, RAD54B, and EGLN3.</description><identifier>ISSN: 0741-0395</identifier><identifier>ISSN: 1098-2272</identifier><identifier>EISSN: 1098-2272</identifier><identifier>DOI: 10.1002/gepi.22365</identifier><identifier>PMID: 32989782</identifier><language>eng</language><publisher>HOBOKEN: Wiley</publisher><subject>ADAMTS-1 protein ; admixture ; African American ; Asthma ; Asthma - drug therapy ; Asthma - genetics ; Black or African American - genetics ; Bronchodilators ; Child ; Epigenetics ; Fetuses ; Fibroblasts ; Forced Expiratory Volume ; Gene frequency ; Gene mapping ; Genetics ; Genetics & Heredity ; Genome-wide association studies ; Genome-Wide Association Study ; Genomes ; Genomic analysis ; Genomics ; Genotypes ; GWAS ; Humans ; integrative genomic analysis ; Leukocytes, Mononuclear ; Life Sciences & Biomedicine ; Lung ; Lung diseases ; lung function ; Mathematical & Computational Biology ; Obstructive lung disease ; Peripheral blood mononuclear cells ; Phenotypes ; Polymorphism, Single Nucleotide ; Population genetics ; Recovery of function ; Respiratory function ; Science & Technology</subject><ispartof>Genetic epidemiology, 2021-03, Vol.45 (2), p.190-208</ispartof><rights>2020 Wiley Periodicals LLC</rights><rights>2020 Wiley Periodicals LLC.</rights><rights>2021 Wiley Periodicals LLC</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>4</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000573395800001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c4485-fe2a3763239413506310ed40fccd44af4439485b1cc32f36e6b574b4cfbde8113</citedby><cites>FETCH-LOGICAL-c4485-fe2a3763239413506310ed40fccd44af4439485b1cc32f36e6b574b4cfbde8113</cites><orcidid>0000-0002-4350-663X ; 0000-0003-3326-1680</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fgepi.22365$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fgepi.22365$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,315,781,785,886,1418,27929,27930,39263,45579,45580</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32989782$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Goddard, Pagé C.</creatorcontrib><creatorcontrib>Keys, Kevin L.</creatorcontrib><creatorcontrib>Mak, Angel C. Y.</creatorcontrib><creatorcontrib>Lee, Eunice Y.</creatorcontrib><creatorcontrib>Liu, Amy K.</creatorcontrib><creatorcontrib>Samedy‐Bates, Lesly‐Anne</creatorcontrib><creatorcontrib>Risse‐Adams, Oona</creatorcontrib><creatorcontrib>Contreras, María G.</creatorcontrib><creatorcontrib>Elhawary, Jennifer R.</creatorcontrib><creatorcontrib>Hu, Donglei</creatorcontrib><creatorcontrib>Huntsman, Scott</creatorcontrib><creatorcontrib>Oh, Sam S.</creatorcontrib><creatorcontrib>Salazar, Sandra</creatorcontrib><creatorcontrib>Eng, Celeste</creatorcontrib><creatorcontrib>Himes, Blanca E.</creatorcontrib><creatorcontrib>White, Marquitta J.</creatorcontrib><creatorcontrib>Burchard, Esteban G.</creatorcontrib><title>Integrative genomic analysis in African American children with asthma finds three novel loci associated with lung function</title><title>Genetic epidemiology</title><addtitle>GENET EPIDEMIOL</addtitle><addtitle>Genet Epidemiol</addtitle><description>Bronchodilator (BD) drugs are commonly prescribed for treatment and management of obstructive lung function present with diseases such as asthma. Administration of BD medication can partially or fully restore lung function as measured by pulmonary function tests. The genetics of baseline lung function measures taken before BD medication have been extensively studied, and the genetics of the BD response itself have received some attention. However, few studies have focused on the genetics of post‐BD lung function. To address this gap, we analyzed lung function phenotypes in 1103 subjects from the Study of African Americans, Asthma, Genes, and Environment, a pediatric asthma case–control cohort, using an integrative genomic analysis approach that combined genotype, locus‐specific genetic ancestry, and functional annotation information. We integrated genome‐wide association study (GWAS) results with an admixture mapping scan of three pulmonary function tests (forced expiratory volume in 1 s [FEV1], forced vital capacity [FVC], and FEV1/FVC) taken before and after albuterol BD administration on the same subjects, yielding six traits. We identified 18 GWAS loci, and five additional loci from admixture mapping, spanning several known and novel lung function candidate genes. Most loci identified via admixture mapping exhibited wide variation in minor allele frequency across genotyped global populations. Functional fine‐mapping revealed an enrichment of epigenetic annotations from peripheral blood mononuclear cells, fetal lung tissue, and lung fibroblasts. Our results point to three novel potential genetic drivers of pre‐ and post‐BD lung function: ADAMTS1, RAD54B, and EGLN3.</description><subject>ADAMTS-1 protein</subject><subject>admixture</subject><subject>African American</subject><subject>Asthma</subject><subject>Asthma - drug therapy</subject><subject>Asthma - genetics</subject><subject>Black or African American - genetics</subject><subject>Bronchodilators</subject><subject>Child</subject><subject>Epigenetics</subject><subject>Fetuses</subject><subject>Fibroblasts</subject><subject>Forced Expiratory Volume</subject><subject>Gene frequency</subject><subject>Gene mapping</subject><subject>Genetics</subject><subject>Genetics & Heredity</subject><subject>Genome-wide association studies</subject><subject>Genome-Wide Association Study</subject><subject>Genomes</subject><subject>Genomic analysis</subject><subject>Genomics</subject><subject>Genotypes</subject><subject>GWAS</subject><subject>Humans</subject><subject>integrative genomic analysis</subject><subject>Leukocytes, Mononuclear</subject><subject>Life Sciences & Biomedicine</subject><subject>Lung</subject><subject>Lung diseases</subject><subject>lung function</subject><subject>Mathematical & Computational Biology</subject><subject>Obstructive lung disease</subject><subject>Peripheral blood mononuclear cells</subject><subject>Phenotypes</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Population genetics</subject><subject>Recovery of function</subject><subject>Respiratory function</subject><subject>Science & Technology</subject><issn>0741-0395</issn><issn>1098-2272</issn><issn>1098-2272</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>EIF</sourceid><recordid>eNqNkk2LFDEQhhtR3HH14g-QgBdRes1Xf12EZVh3Bxb0oOeQTld6snQnY5KeZfz1prfHYfUgnqqgnnrzUm-y7DXBFwRj-rGHnbmglJXFk2xFcFPnlFb0abbCFSc5Zk1xlr0I4Q5jQnhTPM_OGG3qpqrpKvu5sRF6L6PZA-rButEoJK0cDsEEZCy61N4omeoIS6O2Zug8WHRv4hbJELejRNrYLqC49QDIuj0MaHDKpGlIRUboFnqYbI_0ZFU0zr7Mnmk5BHh1rOfZ989X39Y3-e2X68368jZXnNdFroFKVpWMsoYTVuCSEQwdx1qpjnOpOU-DumiJUoxqVkLZFhVvudJtBzUh7Dz7tOjupnaEToGNXg5i580o_UE4acSfE2u2ond7UTWYMs6SwLujgHc_JghRjCYoGAZpwU1BUM6rZIrh-a23f6F3bvLpnDPVkLrkFSkS9X6hlHcheNAnMwSLOVIxRyoeIk3wm8f2T-jvDBPwYQHuoXU6KANWwQnDGBcVS3-gTt2Dw_r_6bWJco5q7SYb0yo5rpoBDv_wLK6vvm4W978AXN_O2g</recordid><startdate>202103</startdate><enddate>202103</enddate><creator>Goddard, Pagé C.</creator><creator>Keys, Kevin L.</creator><creator>Mak, Angel C. 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Y. ; Lee, Eunice Y. ; Liu, Amy K. ; Samedy‐Bates, Lesly‐Anne ; Risse‐Adams, Oona ; Contreras, María G. ; Elhawary, Jennifer R. ; Hu, Donglei ; Huntsman, Scott ; Oh, Sam S. ; Salazar, Sandra ; Eng, Celeste ; Himes, Blanca E. ; White, Marquitta J. ; Burchard, Esteban G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4485-fe2a3763239413506310ed40fccd44af4439485b1cc32f36e6b574b4cfbde8113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>ADAMTS-1 protein</topic><topic>admixture</topic><topic>African American</topic><topic>Asthma</topic><topic>Asthma - drug therapy</topic><topic>Asthma - genetics</topic><topic>Black or African American - genetics</topic><topic>Bronchodilators</topic><topic>Child</topic><topic>Epigenetics</topic><topic>Fetuses</topic><topic>Fibroblasts</topic><topic>Forced Expiratory Volume</topic><topic>Gene frequency</topic><topic>Gene mapping</topic><topic>Genetics</topic><topic>Genetics & Heredity</topic><topic>Genome-wide association studies</topic><topic>Genome-Wide Association Study</topic><topic>Genomes</topic><topic>Genomic analysis</topic><topic>Genomics</topic><topic>Genotypes</topic><topic>GWAS</topic><topic>Humans</topic><topic>integrative genomic analysis</topic><topic>Leukocytes, Mononuclear</topic><topic>Life Sciences & Biomedicine</topic><topic>Lung</topic><topic>Lung diseases</topic><topic>lung function</topic><topic>Mathematical & Computational Biology</topic><topic>Obstructive lung disease</topic><topic>Peripheral blood mononuclear cells</topic><topic>Phenotypes</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Population genetics</topic><topic>Recovery of function</topic><topic>Respiratory function</topic><topic>Science & Technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Goddard, Pagé C.</creatorcontrib><creatorcontrib>Keys, Kevin L.</creatorcontrib><creatorcontrib>Mak, Angel C. Y.</creatorcontrib><creatorcontrib>Lee, Eunice Y.</creatorcontrib><creatorcontrib>Liu, Amy K.</creatorcontrib><creatorcontrib>Samedy‐Bates, Lesly‐Anne</creatorcontrib><creatorcontrib>Risse‐Adams, Oona</creatorcontrib><creatorcontrib>Contreras, María G.</creatorcontrib><creatorcontrib>Elhawary, Jennifer R.</creatorcontrib><creatorcontrib>Hu, Donglei</creatorcontrib><creatorcontrib>Huntsman, Scott</creatorcontrib><creatorcontrib>Oh, Sam S.</creatorcontrib><creatorcontrib>Salazar, Sandra</creatorcontrib><creatorcontrib>Eng, Celeste</creatorcontrib><creatorcontrib>Himes, Blanca E.</creatorcontrib><creatorcontrib>White, Marquitta J.</creatorcontrib><creatorcontrib>Burchard, Esteban G.</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Genetic epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Goddard, Pagé C.</au><au>Keys, Kevin L.</au><au>Mak, Angel C. Y.</au><au>Lee, Eunice Y.</au><au>Liu, Amy K.</au><au>Samedy‐Bates, Lesly‐Anne</au><au>Risse‐Adams, Oona</au><au>Contreras, María G.</au><au>Elhawary, Jennifer R.</au><au>Hu, Donglei</au><au>Huntsman, Scott</au><au>Oh, Sam S.</au><au>Salazar, Sandra</au><au>Eng, Celeste</au><au>Himes, Blanca E.</au><au>White, Marquitta J.</au><au>Burchard, Esteban G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrative genomic analysis in African American children with asthma finds three novel loci associated with lung function</atitle><jtitle>Genetic epidemiology</jtitle><stitle>GENET EPIDEMIOL</stitle><addtitle>Genet Epidemiol</addtitle><date>2021-03</date><risdate>2021</risdate><volume>45</volume><issue>2</issue><spage>190</spage><epage>208</epage><pages>190-208</pages><issn>0741-0395</issn><issn>1098-2272</issn><eissn>1098-2272</eissn><abstract>Bronchodilator (BD) drugs are commonly prescribed for treatment and management of obstructive lung function present with diseases such as asthma. Administration of BD medication can partially or fully restore lung function as measured by pulmonary function tests. The genetics of baseline lung function measures taken before BD medication have been extensively studied, and the genetics of the BD response itself have received some attention. However, few studies have focused on the genetics of post‐BD lung function. To address this gap, we analyzed lung function phenotypes in 1103 subjects from the Study of African Americans, Asthma, Genes, and Environment, a pediatric asthma case–control cohort, using an integrative genomic analysis approach that combined genotype, locus‐specific genetic ancestry, and functional annotation information. We integrated genome‐wide association study (GWAS) results with an admixture mapping scan of three pulmonary function tests (forced expiratory volume in 1 s [FEV1], forced vital capacity [FVC], and FEV1/FVC) taken before and after albuterol BD administration on the same subjects, yielding six traits. We identified 18 GWAS loci, and five additional loci from admixture mapping, spanning several known and novel lung function candidate genes. Most loci identified via admixture mapping exhibited wide variation in minor allele frequency across genotyped global populations. Functional fine‐mapping revealed an enrichment of epigenetic annotations from peripheral blood mononuclear cells, fetal lung tissue, and lung fibroblasts. Our results point to three novel potential genetic drivers of pre‐ and post‐BD lung function: ADAMTS1, RAD54B, and EGLN3.</abstract><cop>HOBOKEN</cop><pub>Wiley</pub><pmid>32989782</pmid><doi>10.1002/gepi.22365</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-4350-663X</orcidid><orcidid>https://orcid.org/0000-0003-3326-1680</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | ADAMTS-1 protein admixture African American Asthma Asthma - drug therapy Asthma - genetics Black or African American - genetics Bronchodilators Child Epigenetics Fetuses Fibroblasts Forced Expiratory Volume Gene frequency Gene mapping Genetics Genetics & Heredity Genome-wide association studies Genome-Wide Association Study Genomes Genomic analysis Genomics Genotypes GWAS Humans integrative genomic analysis Leukocytes, Mononuclear Life Sciences & Biomedicine Lung Lung diseases lung function Mathematical & Computational Biology Obstructive lung disease Peripheral blood mononuclear cells Phenotypes Polymorphism, Single Nucleotide Population genetics Recovery of function Respiratory function Science & Technology |
title | Integrative genomic analysis in African American children with asthma finds three novel loci associated with lung function |
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