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Analysis of 30 Genes (355 SNPS) Related to Energy Homeostasis for Association with Adiposity in European-American and Yup’ik Eskimo Populations
Objective: Human adiposity is highly heritable, but few of the genes that predispose to obesity in most humans are known. We tested candidate genes in pathways related to food intake and energy expenditure for association with measures of adiposity. Methods: We studied 355 genetic variants in 30 can...
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Published in: | Human heredity 2009-01, Vol.67 (3), p.193-205 |
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creator | Chung, Wendy K. Patki, Amit Matsuoka, Naoki Boyer, Bert B. Liu, Nianjun Musani, Solomon K. Goropashnaya, Anna V. Tan, Perciliz L. Katsanis, Nicholas Johnson, Stephen B. Gregersen, Peter K. Allison, David B. Leibel, Rudolph L. Tiwari, Hemant K. |
description | Objective: Human adiposity is highly heritable, but few of the genes that predispose to obesity in most humans are known. We tested candidate genes in pathways related to food intake and energy expenditure for association with measures of adiposity. Methods: We studied 355 genetic variants in 30 candidate genes in 7 molecular pathways related to obesity in two groups of adult subjects: 1,982 unrelated European Americans living in the New York metropolitan area drawn from the extremes of their body mass index (BMI) distribution and 593 related Yup’ik Eskimos living in rural Alaska characterized for BMI, body composition, waist circumference, and skin fold thicknesses. Data were analyzed by using a mixed model in conjunction with a false discovery rate (FDR) procedure to correct for multiple testing. Results: After correcting for multiple testing, two single nucleotide polymorphisms (SNPs) in Ghrelin (GHRL) (rs35682 and rs35683) were associated with BMI in the New York European Americans. This association was not replicated in the Yup’ik participants. There was no evidence for gene × gene interactions among genes within the same molecular pathway after adjusting for multiple testing via FDR control procedure. Conclusion: Genetic variation in GHRL may have a modest impact on BMI in European Americans. |
doi_str_mv | 10.1159/000181158 |
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We tested candidate genes in pathways related to food intake and energy expenditure for association with measures of adiposity. Methods: We studied 355 genetic variants in 30 candidate genes in 7 molecular pathways related to obesity in two groups of adult subjects: 1,982 unrelated European Americans living in the New York metropolitan area drawn from the extremes of their body mass index (BMI) distribution and 593 related Yup’ik Eskimos living in rural Alaska characterized for BMI, body composition, waist circumference, and skin fold thicknesses. Data were analyzed by using a mixed model in conjunction with a false discovery rate (FDR) procedure to correct for multiple testing. Results: After correcting for multiple testing, two single nucleotide polymorphisms (SNPs) in Ghrelin (GHRL) (rs35682 and rs35683) were associated with BMI in the New York European Americans. This association was not replicated in the Yup’ik participants. There was no evidence for gene × gene interactions among genes within the same molecular pathway after adjusting for multiple testing via FDR control procedure. Conclusion: Genetic variation in GHRL may have a modest impact on BMI in European Americans.</description><identifier>ISSN: 0001-5652</identifier><identifier>EISSN: 1423-0062</identifier><identifier>DOI: 10.1159/000181158</identifier><identifier>PMID: 19077438</identifier><language>eng</language><publisher>Basel, Switzerland: S. Karger AG</publisher><subject>Adiposity - genetics ; Adult ; Alaska ; Body Composition - genetics ; Body Mass Index ; Comparative studies ; Epistasis, Genetic ; European Continental Ancestry Group - genetics ; Female ; Genetics ; Ghrelin - genetics ; Haplotypes ; Humans ; Inuits - genetics ; Male ; Middle Aged ; Molecular biology ; Native peoples ; New York City ; Obesity ; Original Paper ; Phenotype ; Polymorphism, Single Nucleotide ; Sequence Analysis, DNA ; Skinfold Thickness ; Waist Circumference - genetics</subject><ispartof>Human heredity, 2009-01, Vol.67 (3), p.193-205</ispartof><rights>2008 S. Karger AG</rights><rights>2008 S. Karger AG, Basel</rights><rights>Copyright (c) 2009 S. Karger AG, Basel</rights><rights>Copyright © 2008 by S. Karger AG, Basel 2008</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-dccc2953aaace053f267aacd3222c213fee8978b1e590982cd37009e7519fb823</citedby><cites>FETCH-LOGICAL-c474t-dccc2953aaace053f267aacd3222c213fee8978b1e590982cd37009e7519fb823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/48513226$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/48513226$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,58238,58471</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19077438$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chung, Wendy K.</creatorcontrib><creatorcontrib>Patki, Amit</creatorcontrib><creatorcontrib>Matsuoka, Naoki</creatorcontrib><creatorcontrib>Boyer, Bert B.</creatorcontrib><creatorcontrib>Liu, Nianjun</creatorcontrib><creatorcontrib>Musani, Solomon K.</creatorcontrib><creatorcontrib>Goropashnaya, Anna V.</creatorcontrib><creatorcontrib>Tan, Perciliz L.</creatorcontrib><creatorcontrib>Katsanis, Nicholas</creatorcontrib><creatorcontrib>Johnson, Stephen B.</creatorcontrib><creatorcontrib>Gregersen, Peter K.</creatorcontrib><creatorcontrib>Allison, David B.</creatorcontrib><creatorcontrib>Leibel, Rudolph L.</creatorcontrib><creatorcontrib>Tiwari, Hemant K.</creatorcontrib><title>Analysis of 30 Genes (355 SNPS) Related to Energy Homeostasis for Association with Adiposity in European-American and Yup’ik Eskimo Populations</title><title>Human heredity</title><addtitle>Hum Hered</addtitle><description>Objective: Human adiposity is highly heritable, but few of the genes that predispose to obesity in most humans are known. We tested candidate genes in pathways related to food intake and energy expenditure for association with measures of adiposity. Methods: We studied 355 genetic variants in 30 candidate genes in 7 molecular pathways related to obesity in two groups of adult subjects: 1,982 unrelated European Americans living in the New York metropolitan area drawn from the extremes of their body mass index (BMI) distribution and 593 related Yup’ik Eskimos living in rural Alaska characterized for BMI, body composition, waist circumference, and skin fold thicknesses. Data were analyzed by using a mixed model in conjunction with a false discovery rate (FDR) procedure to correct for multiple testing. Results: After correcting for multiple testing, two single nucleotide polymorphisms (SNPs) in Ghrelin (GHRL) (rs35682 and rs35683) were associated with BMI in the New York European Americans. This association was not replicated in the Yup’ik participants. There was no evidence for gene × gene interactions among genes within the same molecular pathway after adjusting for multiple testing via FDR control procedure. Conclusion: Genetic variation in GHRL may have a modest impact on BMI in European Americans.</description><subject>Adiposity - genetics</subject><subject>Adult</subject><subject>Alaska</subject><subject>Body Composition - genetics</subject><subject>Body Mass Index</subject><subject>Comparative studies</subject><subject>Epistasis, Genetic</subject><subject>European Continental Ancestry Group - genetics</subject><subject>Female</subject><subject>Genetics</subject><subject>Ghrelin - genetics</subject><subject>Haplotypes</subject><subject>Humans</subject><subject>Inuits - genetics</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Molecular biology</subject><subject>Native peoples</subject><subject>New York City</subject><subject>Obesity</subject><subject>Original Paper</subject><subject>Phenotype</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Sequence Analysis, DNA</subject><subject>Skinfold Thickness</subject><subject>Waist Circumference - genetics</subject><issn>0001-5652</issn><issn>1423-0062</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNqFks9u1DAQxiNERZfCgTsgiwOih4D_xLF9QVpVS4tUQUXhwCnyOpOtdxM7tRPQ3ngFjrweT1Ivu3SBC7547O83n-yZybJHBL8khKtXGGMiUyTvZBNSUJZjXNK72WRzn_OS08PsfozLdJRYsHvZIVFYiILJSfZ96nS7jjYi3yCG0Sk4iOgF4xxdvru4PEYfoNUD1GjwaOYgLNbozHfg46A3SY0PaBqjN1YP1jv01Q5XaFrb3kc7rJF1aDYG34N2-bSDYI12SLsafR77n99-2BWaxZXtPLrw_dj-sogPsoNGtxEe7vaj7NOb2ceTs_z8_enbk-l5bgpRDHltjKGKM621AcxZQ0uRwppRSg0lrAGQSsg5Aa6wkjQpAmMFghPVzCVlR9nrrW8_zjuoDbgh6Lbqg-10WFde2-pvxdmrauG_VFSkmnOcDJ7vDIK_HiEOVWejgbbVDvwYq7KUQgnK_gtSrFLXio3js3_ApR9DalBi0lJccJmg4y1kgo8xQHP7ZIKrzThUt-OQ2Kd__nFP7vqfgMdbYKXDAsIe-J3_ZCsv4-D3aiE5SXUu2Q2GxMOH</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>Chung, Wendy K.</creator><creator>Patki, Amit</creator><creator>Matsuoka, Naoki</creator><creator>Boyer, Bert B.</creator><creator>Liu, Nianjun</creator><creator>Musani, Solomon K.</creator><creator>Goropashnaya, Anna V.</creator><creator>Tan, Perciliz L.</creator><creator>Katsanis, Nicholas</creator><creator>Johnson, Stephen B.</creator><creator>Gregersen, Peter K.</creator><creator>Allison, David B.</creator><creator>Leibel, Rudolph L.</creator><creator>Tiwari, Hemant K.</creator><general>S. 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genetics</topic><topic>Adult</topic><topic>Alaska</topic><topic>Body Composition - genetics</topic><topic>Body Mass Index</topic><topic>Comparative studies</topic><topic>Epistasis, Genetic</topic><topic>European Continental Ancestry Group - genetics</topic><topic>Female</topic><topic>Genetics</topic><topic>Ghrelin - genetics</topic><topic>Haplotypes</topic><topic>Humans</topic><topic>Inuits - genetics</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Molecular biology</topic><topic>Native peoples</topic><topic>New York City</topic><topic>Obesity</topic><topic>Original Paper</topic><topic>Phenotype</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Sequence Analysis, DNA</topic><topic>Skinfold Thickness</topic><topic>Waist Circumference - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chung, Wendy K.</creatorcontrib><creatorcontrib>Patki, Amit</creatorcontrib><creatorcontrib>Matsuoka, Naoki</creatorcontrib><creatorcontrib>Boyer, Bert B.</creatorcontrib><creatorcontrib>Liu, Nianjun</creatorcontrib><creatorcontrib>Musani, Solomon K.</creatorcontrib><creatorcontrib>Goropashnaya, Anna V.</creatorcontrib><creatorcontrib>Tan, Perciliz L.</creatorcontrib><creatorcontrib>Katsanis, Nicholas</creatorcontrib><creatorcontrib>Johnson, Stephen B.</creatorcontrib><creatorcontrib>Gregersen, Peter K.</creatorcontrib><creatorcontrib>Allison, David B.</creatorcontrib><creatorcontrib>Leibel, Rudolph L.</creatorcontrib><creatorcontrib>Tiwari, Hemant K.</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>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</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>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</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 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>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Research Library</collection><collection>Science Database (ProQuest)</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</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>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human heredity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chung, Wendy K.</au><au>Patki, Amit</au><au>Matsuoka, Naoki</au><au>Boyer, Bert B.</au><au>Liu, Nianjun</au><au>Musani, Solomon K.</au><au>Goropashnaya, Anna V.</au><au>Tan, Perciliz L.</au><au>Katsanis, Nicholas</au><au>Johnson, Stephen B.</au><au>Gregersen, Peter K.</au><au>Allison, David B.</au><au>Leibel, Rudolph L.</au><au>Tiwari, Hemant K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of 30 Genes (355 SNPS) Related to Energy Homeostasis for Association with Adiposity in European-American and Yup’ik Eskimo Populations</atitle><jtitle>Human heredity</jtitle><addtitle>Hum Hered</addtitle><date>2009-01-01</date><risdate>2009</risdate><volume>67</volume><issue>3</issue><spage>193</spage><epage>205</epage><pages>193-205</pages><issn>0001-5652</issn><eissn>1423-0062</eissn><abstract>Objective: Human adiposity is highly heritable, but few of the genes that predispose to obesity in most humans are known. We tested candidate genes in pathways related to food intake and energy expenditure for association with measures of adiposity. Methods: We studied 355 genetic variants in 30 candidate genes in 7 molecular pathways related to obesity in two groups of adult subjects: 1,982 unrelated European Americans living in the New York metropolitan area drawn from the extremes of their body mass index (BMI) distribution and 593 related Yup’ik Eskimos living in rural Alaska characterized for BMI, body composition, waist circumference, and skin fold thicknesses. Data were analyzed by using a mixed model in conjunction with a false discovery rate (FDR) procedure to correct for multiple testing. Results: After correcting for multiple testing, two single nucleotide polymorphisms (SNPs) in Ghrelin (GHRL) (rs35682 and rs35683) were associated with BMI in the New York European Americans. This association was not replicated in the Yup’ik participants. There was no evidence for gene × gene interactions among genes within the same molecular pathway after adjusting for multiple testing via FDR control procedure. Conclusion: Genetic variation in GHRL may have a modest impact on BMI in European Americans.</abstract><cop>Basel, Switzerland</cop><pub>S. Karger AG</pub><pmid>19077438</pmid><doi>10.1159/000181158</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adiposity - genetics Adult Alaska Body Composition - genetics Body Mass Index Comparative studies Epistasis, Genetic European Continental Ancestry Group - genetics Female Genetics Ghrelin - genetics Haplotypes Humans Inuits - genetics Male Middle Aged Molecular biology Native peoples New York City Obesity Original Paper Phenotype Polymorphism, Single Nucleotide Sequence Analysis, DNA Skinfold Thickness Waist Circumference - genetics |
title | Analysis of 30 Genes (355 SNPS) Related to Energy Homeostasis for Association with Adiposity in European-American and Yup’ik Eskimo Populations |
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