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Exploration of the utility of ancestry informative markers for genetic association studies of African Americans with type 2 diabetes and end stage renal disease
Admixture and population stratification are major concerns in genetic association studies. We wished to evaluate the impact of admixture using empirically derived data from genetic association studies of African Americans (AA) with type 2 diabetes (T2DM) and end-stage renal disease (ESRD). Seventy a...
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Published in: | Human genetics 2008-09, Vol.124 (2), p.147-154 |
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creator | Keene, Keith L Mychaleckyj, Josyf C Leak, Tennille S Smith, Shelly G Perlegas, Peter S Divers, Jasmin Langefeld, Carl D Freedman, Barry I Bowden, Donald W Sale, Michèle M |
description | Admixture and population stratification are major concerns in genetic association studies. We wished to evaluate the impact of admixture using empirically derived data from genetic association studies of African Americans (AA) with type 2 diabetes (T2DM) and end-stage renal disease (ESRD). Seventy ancestry informative markers (AIMs) were genotyped in 577 AA with T2DM-ESRD, 596 AA controls, 44 Yoruba Nigerian (YRI) and 39 European American (EA) controls. Genotypic data and association results for eight T2DM candidate gene studies in our AA population were included. Ancestral estimates were calculated using FRAPPE, ADMIXMAP and STRUCTURE for all AA samples, using varying numbers of AIMs (25, 50, and 70). Ancestry estimates varied significantly across all three programs with the highest estimates obtained using STRUCTURE, followed by ADMIXMAP; while FRAPPE estimates were the lowest. FRAPPE estimates were similar using varying numbers of AIMs, while STRUCTURE estimates using 25 AIMs differed from estimates using 50 and 70 AIMs. Female T2DM-ESRD cases showed higher mean African proportions as compared to female controls, male cases, and male controls. Age showed a weak but significant correlation with individual ancestral estimates in AA cases (r ² = 0.101; P = 0.019) and in the combined set (r ² = 0.131; P = 3.57 x 10⁻⁵). The absolute difference between frequencies in parental populations, absolute δ, was correlated with admixture impact for dominant, additive, and recessive genotypic models of association. This study presents exploratory analyses of the impact of admixture on studies of AA with T2DM-ESRD and supports the use of ancestral proportions as a means of reducing confounding effects due to admixture. |
doi_str_mv | 10.1007/s00439-008-0532-6 |
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We wished to evaluate the impact of admixture using empirically derived data from genetic association studies of African Americans (AA) with type 2 diabetes (T2DM) and end-stage renal disease (ESRD). Seventy ancestry informative markers (AIMs) were genotyped in 577 AA with T2DM-ESRD, 596 AA controls, 44 Yoruba Nigerian (YRI) and 39 European American (EA) controls. Genotypic data and association results for eight T2DM candidate gene studies in our AA population were included. Ancestral estimates were calculated using FRAPPE, ADMIXMAP and STRUCTURE for all AA samples, using varying numbers of AIMs (25, 50, and 70). Ancestry estimates varied significantly across all three programs with the highest estimates obtained using STRUCTURE, followed by ADMIXMAP; while FRAPPE estimates were the lowest. FRAPPE estimates were similar using varying numbers of AIMs, while STRUCTURE estimates using 25 AIMs differed from estimates using 50 and 70 AIMs. Female T2DM-ESRD cases showed higher mean African proportions as compared to female controls, male cases, and male controls. Age showed a weak but significant correlation with individual ancestral estimates in AA cases (r ² = 0.101; P = 0.019) and in the combined set (r ² = 0.131; P = 3.57 x 10⁻⁵). The absolute difference between frequencies in parental populations, absolute δ, was correlated with admixture impact for dominant, additive, and recessive genotypic models of association. This study presents exploratory analyses of the impact of admixture on studies of AA with T2DM-ESRD and supports the use of ancestral proportions as a means of reducing confounding effects due to admixture.</description><identifier>ISSN: 0340-6717</identifier><identifier>EISSN: 1432-1203</identifier><identifier>DOI: 10.1007/s00439-008-0532-6</identifier><identifier>PMID: 18654799</identifier><identifier>CODEN: HUGEDQ</identifier><language>eng</language><publisher>Berlin/Heidelberg: Berlin/Heidelberg : Springer-Verlag</publisher><subject>Adult ; African Americans ; African Americans - genetics ; Biochemistry ; Biological and medical sciences ; Biomedical and Life Sciences ; Biomedicine ; Case-Control Studies ; Chronic kidney failure ; Classical genetics, quantitative genetics, hybrids ; Diabetes ; Diabetes Mellitus, Type 2 - complications ; Diabetes Mellitus, Type 2 - ethnology ; Diabetes Mellitus, Type 2 - genetics ; Diabetes. Impaired glucose tolerance ; Endocrine pancreas. Apud cells (diseases) ; Endocrinopathies ; Etiopathogenesis. Screening. Investigations. Target tissue resistance ; Female ; Fundamental and applied biological sciences. Psychology ; Gene Frequency ; Gene Function ; Genealogy ; Genetic Linkage ; Genetic Markers - physiology ; Genetic Predisposition to Disease - ethnology ; Genetics of eukaryotes. Biological and molecular evolution ; Genomics ; Genotype ; Human ; Human Genetics ; Humans ; Kidney diseases ; Kidney Failure, Chronic - complications ; Kidney Failure, Chronic - ethnology ; Kidney Failure, Chronic - genetics ; Male ; Medical sciences ; Medicine ; Metabolic Diseases ; Minority & ethnic groups ; Molecular Medicine ; Nephrology. Urinary tract diseases ; Nephropathies. Renovascular diseases. Renal failure ; Original Investigations ; Polymorphism, Single Nucleotide ; Renal failure ; Type 2 diabetes</subject><ispartof>Human genetics, 2008-09, Vol.124 (2), p.147-154</ispartof><rights>Springer-Verlag 2008</rights><rights>2009 INIST-CNRS</rights><rights>COPYRIGHT 2008 Springer</rights><rights>Springer-Verlag 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c614t-b201b49a2bd2f75032c072aab043cd1009fe76db4bcd16290baee116e99806cf3</citedby><cites>FETCH-LOGICAL-c614t-b201b49a2bd2f75032c072aab043cd1009fe76db4bcd16290baee116e99806cf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27915,27916</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21018056$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18654799$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Keene, Keith L</creatorcontrib><creatorcontrib>Mychaleckyj, Josyf C</creatorcontrib><creatorcontrib>Leak, Tennille S</creatorcontrib><creatorcontrib>Smith, Shelly G</creatorcontrib><creatorcontrib>Perlegas, Peter S</creatorcontrib><creatorcontrib>Divers, Jasmin</creatorcontrib><creatorcontrib>Langefeld, Carl D</creatorcontrib><creatorcontrib>Freedman, Barry I</creatorcontrib><creatorcontrib>Bowden, Donald W</creatorcontrib><creatorcontrib>Sale, Michèle M</creatorcontrib><title>Exploration of the utility of ancestry informative markers for genetic association studies of African Americans with type 2 diabetes and end stage renal disease</title><title>Human genetics</title><addtitle>Hum Genet</addtitle><addtitle>Hum Genet</addtitle><description>Admixture and population stratification are major concerns in genetic association studies. We wished to evaluate the impact of admixture using empirically derived data from genetic association studies of African Americans (AA) with type 2 diabetes (T2DM) and end-stage renal disease (ESRD). Seventy ancestry informative markers (AIMs) were genotyped in 577 AA with T2DM-ESRD, 596 AA controls, 44 Yoruba Nigerian (YRI) and 39 European American (EA) controls. Genotypic data and association results for eight T2DM candidate gene studies in our AA population were included. Ancestral estimates were calculated using FRAPPE, ADMIXMAP and STRUCTURE for all AA samples, using varying numbers of AIMs (25, 50, and 70). Ancestry estimates varied significantly across all three programs with the highest estimates obtained using STRUCTURE, followed by ADMIXMAP; while FRAPPE estimates were the lowest. FRAPPE estimates were similar using varying numbers of AIMs, while STRUCTURE estimates using 25 AIMs differed from estimates using 50 and 70 AIMs. Female T2DM-ESRD cases showed higher mean African proportions as compared to female controls, male cases, and male controls. Age showed a weak but significant correlation with individual ancestral estimates in AA cases (r ² = 0.101; P = 0.019) and in the combined set (r ² = 0.131; P = 3.57 x 10⁻⁵). The absolute difference between frequencies in parental populations, absolute δ, was correlated with admixture impact for dominant, additive, and recessive genotypic models of association. This study presents exploratory analyses of the impact of admixture on studies of AA with T2DM-ESRD and supports the use of ancestral proportions as a means of reducing confounding effects due to admixture.</description><subject>Adult</subject><subject>African Americans</subject><subject>African Americans - genetics</subject><subject>Biochemistry</subject><subject>Biological and medical sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Case-Control Studies</subject><subject>Chronic kidney failure</subject><subject>Classical genetics, quantitative genetics, hybrids</subject><subject>Diabetes</subject><subject>Diabetes Mellitus, Type 2 - complications</subject><subject>Diabetes Mellitus, Type 2 - ethnology</subject><subject>Diabetes Mellitus, Type 2 - genetics</subject><subject>Diabetes. Impaired glucose tolerance</subject><subject>Endocrine pancreas. Apud cells (diseases)</subject><subject>Endocrinopathies</subject><subject>Etiopathogenesis. Screening. Investigations. Target tissue resistance</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gene Frequency</subject><subject>Gene Function</subject><subject>Genealogy</subject><subject>Genetic Linkage</subject><subject>Genetic Markers - physiology</subject><subject>Genetic Predisposition to Disease - ethnology</subject><subject>Genetics of eukaryotes. Biological and molecular evolution</subject><subject>Genomics</subject><subject>Genotype</subject><subject>Human</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>Kidney diseases</subject><subject>Kidney Failure, Chronic - complications</subject><subject>Kidney Failure, Chronic - ethnology</subject><subject>Kidney Failure, Chronic - genetics</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Metabolic Diseases</subject><subject>Minority & ethnic groups</subject><subject>Molecular Medicine</subject><subject>Nephrology. Urinary tract diseases</subject><subject>Nephropathies. Renovascular diseases. 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Impaired glucose tolerance</topic><topic>Endocrine pancreas. Apud cells (diseases)</topic><topic>Endocrinopathies</topic><topic>Etiopathogenesis. Screening. Investigations. Target tissue resistance</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gene Frequency</topic><topic>Gene Function</topic><topic>Genealogy</topic><topic>Genetic Linkage</topic><topic>Genetic Markers - physiology</topic><topic>Genetic Predisposition to Disease - ethnology</topic><topic>Genetics of eukaryotes. Biological and molecular evolution</topic><topic>Genomics</topic><topic>Genotype</topic><topic>Human</topic><topic>Human Genetics</topic><topic>Humans</topic><topic>Kidney diseases</topic><topic>Kidney Failure, Chronic - complications</topic><topic>Kidney Failure, Chronic - ethnology</topic><topic>Kidney Failure, Chronic - genetics</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Metabolic Diseases</topic><topic>Minority & ethnic groups</topic><topic>Molecular Medicine</topic><topic>Nephrology. Urinary tract diseases</topic><topic>Nephropathies. Renovascular diseases. Renal failure</topic><topic>Original Investigations</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Renal failure</topic><topic>Type 2 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Keene, Keith L</creatorcontrib><creatorcontrib>Mychaleckyj, Josyf C</creatorcontrib><creatorcontrib>Leak, Tennille S</creatorcontrib><creatorcontrib>Smith, Shelly G</creatorcontrib><creatorcontrib>Perlegas, Peter S</creatorcontrib><creatorcontrib>Divers, Jasmin</creatorcontrib><creatorcontrib>Langefeld, Carl D</creatorcontrib><creatorcontrib>Freedman, Barry I</creatorcontrib><creatorcontrib>Bowden, Donald W</creatorcontrib><creatorcontrib>Sale, Michèle M</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><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: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</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>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Keene, Keith L</au><au>Mychaleckyj, Josyf C</au><au>Leak, Tennille S</au><au>Smith, Shelly G</au><au>Perlegas, Peter S</au><au>Divers, Jasmin</au><au>Langefeld, Carl D</au><au>Freedman, Barry I</au><au>Bowden, Donald W</au><au>Sale, Michèle M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploration of the utility of ancestry informative markers for genetic association studies of African Americans with type 2 diabetes and end stage renal disease</atitle><jtitle>Human genetics</jtitle><stitle>Hum Genet</stitle><addtitle>Hum Genet</addtitle><date>2008-09-01</date><risdate>2008</risdate><volume>124</volume><issue>2</issue><spage>147</spage><epage>154</epage><pages>147-154</pages><issn>0340-6717</issn><eissn>1432-1203</eissn><coden>HUGEDQ</coden><abstract>Admixture and population stratification are major concerns in genetic association studies. We wished to evaluate the impact of admixture using empirically derived data from genetic association studies of African Americans (AA) with type 2 diabetes (T2DM) and end-stage renal disease (ESRD). Seventy ancestry informative markers (AIMs) were genotyped in 577 AA with T2DM-ESRD, 596 AA controls, 44 Yoruba Nigerian (YRI) and 39 European American (EA) controls. Genotypic data and association results for eight T2DM candidate gene studies in our AA population were included. Ancestral estimates were calculated using FRAPPE, ADMIXMAP and STRUCTURE for all AA samples, using varying numbers of AIMs (25, 50, and 70). Ancestry estimates varied significantly across all three programs with the highest estimates obtained using STRUCTURE, followed by ADMIXMAP; while FRAPPE estimates were the lowest. FRAPPE estimates were similar using varying numbers of AIMs, while STRUCTURE estimates using 25 AIMs differed from estimates using 50 and 70 AIMs. Female T2DM-ESRD cases showed higher mean African proportions as compared to female controls, male cases, and male controls. Age showed a weak but significant correlation with individual ancestral estimates in AA cases (r ² = 0.101; P = 0.019) and in the combined set (r ² = 0.131; P = 3.57 x 10⁻⁵). The absolute difference between frequencies in parental populations, absolute δ, was correlated with admixture impact for dominant, additive, and recessive genotypic models of association. This study presents exploratory analyses of the impact of admixture on studies of AA with T2DM-ESRD and supports the use of ancestral proportions as a means of reducing confounding effects due to admixture.</abstract><cop>Berlin/Heidelberg</cop><pub>Berlin/Heidelberg : Springer-Verlag</pub><pmid>18654799</pmid><doi>10.1007/s00439-008-0532-6</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult African Americans African Americans - genetics Biochemistry Biological and medical sciences Biomedical and Life Sciences Biomedicine Case-Control Studies Chronic kidney failure Classical genetics, quantitative genetics, hybrids Diabetes Diabetes Mellitus, Type 2 - complications Diabetes Mellitus, Type 2 - ethnology Diabetes Mellitus, Type 2 - genetics Diabetes. Impaired glucose tolerance Endocrine pancreas. Apud cells (diseases) Endocrinopathies Etiopathogenesis. Screening. Investigations. Target tissue resistance Female Fundamental and applied biological sciences. Psychology Gene Frequency Gene Function Genealogy Genetic Linkage Genetic Markers - physiology Genetic Predisposition to Disease - ethnology Genetics of eukaryotes. Biological and molecular evolution Genomics Genotype Human Human Genetics Humans Kidney diseases Kidney Failure, Chronic - complications Kidney Failure, Chronic - ethnology Kidney Failure, Chronic - genetics Male Medical sciences Medicine Metabolic Diseases Minority & ethnic groups Molecular Medicine Nephrology. Urinary tract diseases Nephropathies. Renovascular diseases. Renal failure Original Investigations Polymorphism, Single Nucleotide Renal failure Type 2 diabetes |
title | Exploration of the utility of ancestry informative markers for genetic association studies of African Americans with type 2 diabetes and end stage renal disease |
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