Association of FTO polymorphisms with obesity and metabolic parameters in Han Chinese adolescents
Previous studies have suggested that fat mass-and obesity-associated (FTO) gene is associated with body mass index (BMI) and the risk of obesity. This study aims to assess the association of five FTO polymorphisms (rs9939609, rs8050136, rs1558902, rs3751812 and rs6499640) with obesity and relative p...
Gespeichert in:
Veröffentlicht in: | PloS one 2014-06, Vol.9 (6), p.e98984-e98984 |
---|---|
Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e98984 |
---|---|
container_issue | 6 |
container_start_page | e98984 |
container_title | PloS one |
container_volume | 9 |
creator | Wu, Junqing Xu, Jianhua Zhang, Zhaofeng Ren, Jingcao Li, Yuyan Wang, Jian Cao, Yunlei Rong, Fen Zhao, Rui Huang, Xianliang Du, Jing |
description | Previous studies have suggested that fat mass-and obesity-associated (FTO) gene is associated with body mass index (BMI) and the risk of obesity. This study aims to assess the association of five FTO polymorphisms (rs9939609, rs8050136, rs1558902, rs3751812 and rs6499640) with obesity and relative parameters in Han Chinese adolescents.
We examined a total of 401 adolescents, 223 normal weights (58.7% boys, 41.3% girls), 178 overweight (60.1% boys, 39.9% girls), aging from 14 to 18-years-old, recruited randomly from public schools in the central region of Wuxi, a southern city of China. DNA samples were genotyped for the five polymorphisms by Sequenom Plex MassARRAY. Association of the FTO polymorphisms with BMI, serum fasting plasm glucose (FPG), fasting insulin (FIns), triglyceride (TG) and cholesterol (TC) were investigated.
1) Serum FPG, FIns, TG and TC were statistically significant higher than that in normal control group. 2) We found that BMI was higher in the rs9939609 TA+AA, rs8050136 AC+AA, rs1558902 TA+AA and rs3751812 GT+TT genotypes than in wild TT genotypes (rs9939609: P = 0.038; rs1558902: P = 0.038;), CC genotypes(rs8050136: P = 0.024) and GG genotypes (rs3751812: P = 0.024), which were not significant on adjusting for multiple testing. 3) In case-control studies, five polymorphisms were not significantly associated with overweight (p>0.05), haplotype analyses showed non-haplotype is significantly associated with a higher risk of being overweight (p>0.05). 4) There existed no significant statistical difference about FPG, FIns, TG and TC in genotype model for any SNP.
Our study has conducted a genetic association study of the FTO polymorphisms with BMI, serum fasting plasm glucose (FPG), fasting insulin (FIns), triglyceride (TG) and cholesterol (TC). Our study found BMI of subjects with A allele of FTO rs9939609 is higher than that with T allele. Further studies on other polymorphisms from FTO and increasing the sample size are needed. |
doi_str_mv | 10.1371/journal.pone.0098984 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1534317597</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A418634111</galeid><doaj_id>oai_doaj_org_article_8da5ecd24f8b491bb5f94bbc8b2dc75e</doaj_id><sourcerecordid>A418634111</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-c34842f8082587cccbfe7a38730c3bc086796a717226b2f0c82e528711df6e923</originalsourceid><addsrcrecordid>eNqNk1-L1DAUxYso7rr6DUQDgujDjPnXJn0RhsF1BxYGdPU1JGk6zZI2Y9Kq8-1Nne4ylX2QPrRJf_ek5_TeLHuJ4BIRhj7c-iF00i33vjNLCEtecvooO0clwYsCQ_L45PksexbjLYQ54UXxNDvDtEQIFvQ8k6sYvbayt74DvgaXN1uw9-7Q-rBvbGwj-GX7Bnhlou0PQHYVaE0vlXdWg70MMq1MiMB24Ep2YN3YzkQDZOWdidp0fXyePamli-bFdL_Ivl1-ullfLa63nzfr1fVCFyXuF5pQTnHNIcc5Z1prVRsmCWcEaqI05AUrC8kQw7hQuIaaY5NjzhCq6sKUmFxkr4-6e-ejmNKJAuWEEsTykiVicyQqL2_FPthWhoPw0oq_Gz7shAy91c4IXsnc6ArTmquUlVJ5XVKlNFe40iw3SevjdNqgWlONToN0M9H5m842Yud_CgppmZc8CbybBIL_MZjYi9amwJyTnfHD8btZsgVHZ2_-QR92N1E7mQzYrvbpXD2KihVFvCAUIZSo5QNUuirTWp1aqbZpf1bwflaQmN787ndyiFFsvn75f3b7fc6-PWEbI13fRO-GsRHjHKRHUAcfYzD1fcgIinES7tIQ4ySIaRJS2avTH3RfdNf65A_g4gOu</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1534317597</pqid></control><display><type>article</type><title>Association of FTO polymorphisms with obesity and metabolic parameters in Han Chinese adolescents</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS)</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Wu, Junqing ; Xu, Jianhua ; Zhang, Zhaofeng ; Ren, Jingcao ; Li, Yuyan ; Wang, Jian ; Cao, Yunlei ; Rong, Fen ; Zhao, Rui ; Huang, Xianliang ; Du, Jing</creator><contributor>Grolmusz, Vince</contributor><creatorcontrib>Wu, Junqing ; Xu, Jianhua ; Zhang, Zhaofeng ; Ren, Jingcao ; Li, Yuyan ; Wang, Jian ; Cao, Yunlei ; Rong, Fen ; Zhao, Rui ; Huang, Xianliang ; Du, Jing ; Grolmusz, Vince</creatorcontrib><description>Previous studies have suggested that fat mass-and obesity-associated (FTO) gene is associated with body mass index (BMI) and the risk of obesity. This study aims to assess the association of five FTO polymorphisms (rs9939609, rs8050136, rs1558902, rs3751812 and rs6499640) with obesity and relative parameters in Han Chinese adolescents.
We examined a total of 401 adolescents, 223 normal weights (58.7% boys, 41.3% girls), 178 overweight (60.1% boys, 39.9% girls), aging from 14 to 18-years-old, recruited randomly from public schools in the central region of Wuxi, a southern city of China. DNA samples were genotyped for the five polymorphisms by Sequenom Plex MassARRAY. Association of the FTO polymorphisms with BMI, serum fasting plasm glucose (FPG), fasting insulin (FIns), triglyceride (TG) and cholesterol (TC) were investigated.
1) Serum FPG, FIns, TG and TC were statistically significant higher than that in normal control group. 2) We found that BMI was higher in the rs9939609 TA+AA, rs8050136 AC+AA, rs1558902 TA+AA and rs3751812 GT+TT genotypes than in wild TT genotypes (rs9939609: P = 0.038; rs1558902: P = 0.038;), CC genotypes(rs8050136: P = 0.024) and GG genotypes (rs3751812: P = 0.024), which were not significant on adjusting for multiple testing. 3) In case-control studies, five polymorphisms were not significantly associated with overweight (p>0.05), haplotype analyses showed non-haplotype is significantly associated with a higher risk of being overweight (p>0.05). 4) There existed no significant statistical difference about FPG, FIns, TG and TC in genotype model for any SNP.
Our study has conducted a genetic association study of the FTO polymorphisms with BMI, serum fasting plasm glucose (FPG), fasting insulin (FIns), triglyceride (TG) and cholesterol (TC). Our study found BMI of subjects with A allele of FTO rs9939609 is higher than that with T allele. Further studies on other polymorphisms from FTO and increasing the sample size are needed.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0098984</identifier><identifier>PMID: 24911064</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adolescents ; Aging ; Alleles ; Alpha-Ketoglutarate-Dependent Dioxygenase FTO ; Analysis ; Asian Continental Ancestry Group - genetics ; Biology and Life Sciences ; Birth control ; Body fat ; Body mass ; Body mass index ; Body size ; Body weight ; Children & youth ; Cholesterol ; Deoxyribonucleic acid ; Diabetes ; DNA ; Fasting ; Female ; Genetic aspects ; Genetic polymorphisms ; Genetic Predisposition to Disease ; Genotypes ; Girls ; Glucose ; Haplotypes ; Humans ; Insulin ; Laboratories ; Linkage Disequilibrium ; Male ; Medicine and Health Sciences ; Metabolism ; Obesity ; Obesity - genetics ; Obesity - metabolism ; Overweight ; Polymorphism, Single Nucleotide ; Proteins - genetics ; Public health ; Schools ; Single-nucleotide polymorphism ; Social Sciences ; Statistical analysis ; Statistical methods ; Studies ; Teenagers ; Youth</subject><ispartof>PloS one, 2014-06, Vol.9 (6), p.e98984-e98984</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Wu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Wu et al 2014 Wu et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-c34842f8082587cccbfe7a38730c3bc086796a717226b2f0c82e528711df6e923</citedby><cites>FETCH-LOGICAL-c692t-c34842f8082587cccbfe7a38730c3bc086796a717226b2f0c82e528711df6e923</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4049598/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4049598/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2926,23864,27922,27923,53789,53791,79370,79371</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24911064$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Grolmusz, Vince</contributor><creatorcontrib>Wu, Junqing</creatorcontrib><creatorcontrib>Xu, Jianhua</creatorcontrib><creatorcontrib>Zhang, Zhaofeng</creatorcontrib><creatorcontrib>Ren, Jingcao</creatorcontrib><creatorcontrib>Li, Yuyan</creatorcontrib><creatorcontrib>Wang, Jian</creatorcontrib><creatorcontrib>Cao, Yunlei</creatorcontrib><creatorcontrib>Rong, Fen</creatorcontrib><creatorcontrib>Zhao, Rui</creatorcontrib><creatorcontrib>Huang, Xianliang</creatorcontrib><creatorcontrib>Du, Jing</creatorcontrib><title>Association of FTO polymorphisms with obesity and metabolic parameters in Han Chinese adolescents</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Previous studies have suggested that fat mass-and obesity-associated (FTO) gene is associated with body mass index (BMI) and the risk of obesity. This study aims to assess the association of five FTO polymorphisms (rs9939609, rs8050136, rs1558902, rs3751812 and rs6499640) with obesity and relative parameters in Han Chinese adolescents.
We examined a total of 401 adolescents, 223 normal weights (58.7% boys, 41.3% girls), 178 overweight (60.1% boys, 39.9% girls), aging from 14 to 18-years-old, recruited randomly from public schools in the central region of Wuxi, a southern city of China. DNA samples were genotyped for the five polymorphisms by Sequenom Plex MassARRAY. Association of the FTO polymorphisms with BMI, serum fasting plasm glucose (FPG), fasting insulin (FIns), triglyceride (TG) and cholesterol (TC) were investigated.
1) Serum FPG, FIns, TG and TC were statistically significant higher than that in normal control group. 2) We found that BMI was higher in the rs9939609 TA+AA, rs8050136 AC+AA, rs1558902 TA+AA and rs3751812 GT+TT genotypes than in wild TT genotypes (rs9939609: P = 0.038; rs1558902: P = 0.038;), CC genotypes(rs8050136: P = 0.024) and GG genotypes (rs3751812: P = 0.024), which were not significant on adjusting for multiple testing. 3) In case-control studies, five polymorphisms were not significantly associated with overweight (p>0.05), haplotype analyses showed non-haplotype is significantly associated with a higher risk of being overweight (p>0.05). 4) There existed no significant statistical difference about FPG, FIns, TG and TC in genotype model for any SNP.
Our study has conducted a genetic association study of the FTO polymorphisms with BMI, serum fasting plasm glucose (FPG), fasting insulin (FIns), triglyceride (TG) and cholesterol (TC). Our study found BMI of subjects with A allele of FTO rs9939609 is higher than that with T allele. Further studies on other polymorphisms from FTO and increasing the sample size are needed.</description><subject>Adolescent</subject><subject>Adolescents</subject><subject>Aging</subject><subject>Alleles</subject><subject>Alpha-Ketoglutarate-Dependent Dioxygenase FTO</subject><subject>Analysis</subject><subject>Asian Continental Ancestry Group - genetics</subject><subject>Biology and Life Sciences</subject><subject>Birth control</subject><subject>Body fat</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Body weight</subject><subject>Children & youth</subject><subject>Cholesterol</subject><subject>Deoxyribonucleic acid</subject><subject>Diabetes</subject><subject>DNA</subject><subject>Fasting</subject><subject>Female</subject><subject>Genetic aspects</subject><subject>Genetic polymorphisms</subject><subject>Genetic Predisposition to Disease</subject><subject>Genotypes</subject><subject>Girls</subject><subject>Glucose</subject><subject>Haplotypes</subject><subject>Humans</subject><subject>Insulin</subject><subject>Laboratories</subject><subject>Linkage Disequilibrium</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Metabolism</subject><subject>Obesity</subject><subject>Obesity - genetics</subject><subject>Obesity - metabolism</subject><subject>Overweight</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Proteins - genetics</subject><subject>Public health</subject><subject>Schools</subject><subject>Single-nucleotide polymorphism</subject><subject>Social Sciences</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Studies</subject><subject>Teenagers</subject><subject>Youth</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</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>eNqNk1-L1DAUxYso7rr6DUQDgujDjPnXJn0RhsF1BxYGdPU1JGk6zZI2Y9Kq8-1Nne4ylX2QPrRJf_ek5_TeLHuJ4BIRhj7c-iF00i33vjNLCEtecvooO0clwYsCQ_L45PksexbjLYQ54UXxNDvDtEQIFvQ8k6sYvbayt74DvgaXN1uw9-7Q-rBvbGwj-GX7Bnhlou0PQHYVaE0vlXdWg70MMq1MiMB24Ep2YN3YzkQDZOWdidp0fXyePamli-bFdL_Ivl1-ullfLa63nzfr1fVCFyXuF5pQTnHNIcc5Z1prVRsmCWcEaqI05AUrC8kQw7hQuIaaY5NjzhCq6sKUmFxkr4-6e-ejmNKJAuWEEsTykiVicyQqL2_FPthWhoPw0oq_Gz7shAy91c4IXsnc6ArTmquUlVJ5XVKlNFe40iw3SevjdNqgWlONToN0M9H5m842Yud_CgppmZc8CbybBIL_MZjYi9amwJyTnfHD8btZsgVHZ2_-QR92N1E7mQzYrvbpXD2KihVFvCAUIZSo5QNUuirTWp1aqbZpf1bwflaQmN787ndyiFFsvn75f3b7fc6-PWEbI13fRO-GsRHjHKRHUAcfYzD1fcgIinES7tIQ4ySIaRJS2avTH3RfdNf65A_g4gOu</recordid><startdate>20140609</startdate><enddate>20140609</enddate><creator>Wu, Junqing</creator><creator>Xu, Jianhua</creator><creator>Zhang, Zhaofeng</creator><creator>Ren, Jingcao</creator><creator>Li, Yuyan</creator><creator>Wang, Jian</creator><creator>Cao, Yunlei</creator><creator>Rong, Fen</creator><creator>Zhao, Rui</creator><creator>Huang, Xianliang</creator><creator>Du, Jing</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140609</creationdate><title>Association of FTO polymorphisms with obesity and metabolic parameters in Han Chinese adolescents</title><author>Wu, Junqing ; Xu, Jianhua ; Zhang, Zhaofeng ; Ren, Jingcao ; Li, Yuyan ; Wang, Jian ; Cao, Yunlei ; Rong, Fen ; Zhao, Rui ; Huang, Xianliang ; Du, Jing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-c34842f8082587cccbfe7a38730c3bc086796a717226b2f0c82e528711df6e923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Adolescents</topic><topic>Aging</topic><topic>Alleles</topic><topic>Alpha-Ketoglutarate-Dependent Dioxygenase FTO</topic><topic>Analysis</topic><topic>Asian Continental Ancestry Group - genetics</topic><topic>Biology and Life Sciences</topic><topic>Birth control</topic><topic>Body fat</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Body weight</topic><topic>Children & youth</topic><topic>Cholesterol</topic><topic>Deoxyribonucleic acid</topic><topic>Diabetes</topic><topic>DNA</topic><topic>Fasting</topic><topic>Female</topic><topic>Genetic aspects</topic><topic>Genetic polymorphisms</topic><topic>Genetic Predisposition to Disease</topic><topic>Genotypes</topic><topic>Girls</topic><topic>Glucose</topic><topic>Haplotypes</topic><topic>Humans</topic><topic>Insulin</topic><topic>Laboratories</topic><topic>Linkage Disequilibrium</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Metabolism</topic><topic>Obesity</topic><topic>Obesity - genetics</topic><topic>Obesity - metabolism</topic><topic>Overweight</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Proteins - genetics</topic><topic>Public health</topic><topic>Schools</topic><topic>Single-nucleotide polymorphism</topic><topic>Social Sciences</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Studies</topic><topic>Teenagers</topic><topic>Youth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Junqing</creatorcontrib><creatorcontrib>Xu, Jianhua</creatorcontrib><creatorcontrib>Zhang, Zhaofeng</creatorcontrib><creatorcontrib>Ren, Jingcao</creatorcontrib><creatorcontrib>Li, Yuyan</creatorcontrib><creatorcontrib>Wang, Jian</creatorcontrib><creatorcontrib>Cao, Yunlei</creatorcontrib><creatorcontrib>Rong, Fen</creatorcontrib><creatorcontrib>Zhao, Rui</creatorcontrib><creatorcontrib>Huang, Xianliang</creatorcontrib><creatorcontrib>Du, Jing</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</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 one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Junqing</au><au>Xu, Jianhua</au><au>Zhang, Zhaofeng</au><au>Ren, Jingcao</au><au>Li, Yuyan</au><au>Wang, Jian</au><au>Cao, Yunlei</au><au>Rong, Fen</au><au>Zhao, Rui</au><au>Huang, Xianliang</au><au>Du, Jing</au><au>Grolmusz, Vince</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of FTO polymorphisms with obesity and metabolic parameters in Han Chinese adolescents</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-06-09</date><risdate>2014</risdate><volume>9</volume><issue>6</issue><spage>e98984</spage><epage>e98984</epage><pages>e98984-e98984</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Previous studies have suggested that fat mass-and obesity-associated (FTO) gene is associated with body mass index (BMI) and the risk of obesity. This study aims to assess the association of five FTO polymorphisms (rs9939609, rs8050136, rs1558902, rs3751812 and rs6499640) with obesity and relative parameters in Han Chinese adolescents.
We examined a total of 401 adolescents, 223 normal weights (58.7% boys, 41.3% girls), 178 overweight (60.1% boys, 39.9% girls), aging from 14 to 18-years-old, recruited randomly from public schools in the central region of Wuxi, a southern city of China. DNA samples were genotyped for the five polymorphisms by Sequenom Plex MassARRAY. Association of the FTO polymorphisms with BMI, serum fasting plasm glucose (FPG), fasting insulin (FIns), triglyceride (TG) and cholesterol (TC) were investigated.
1) Serum FPG, FIns, TG and TC were statistically significant higher than that in normal control group. 2) We found that BMI was higher in the rs9939609 TA+AA, rs8050136 AC+AA, rs1558902 TA+AA and rs3751812 GT+TT genotypes than in wild TT genotypes (rs9939609: P = 0.038; rs1558902: P = 0.038;), CC genotypes(rs8050136: P = 0.024) and GG genotypes (rs3751812: P = 0.024), which were not significant on adjusting for multiple testing. 3) In case-control studies, five polymorphisms were not significantly associated with overweight (p>0.05), haplotype analyses showed non-haplotype is significantly associated with a higher risk of being overweight (p>0.05). 4) There existed no significant statistical difference about FPG, FIns, TG and TC in genotype model for any SNP.
Our study has conducted a genetic association study of the FTO polymorphisms with BMI, serum fasting plasm glucose (FPG), fasting insulin (FIns), triglyceride (TG) and cholesterol (TC). Our study found BMI of subjects with A allele of FTO rs9939609 is higher than that with T allele. Further studies on other polymorphisms from FTO and increasing the sample size are needed.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24911064</pmid><doi>10.1371/journal.pone.0098984</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2014-06, Vol.9 (6), p.e98984-e98984 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1534317597 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adolescent Adolescents Aging Alleles Alpha-Ketoglutarate-Dependent Dioxygenase FTO Analysis Asian Continental Ancestry Group - genetics Biology and Life Sciences Birth control Body fat Body mass Body mass index Body size Body weight Children & youth Cholesterol Deoxyribonucleic acid Diabetes DNA Fasting Female Genetic aspects Genetic polymorphisms Genetic Predisposition to Disease Genotypes Girls Glucose Haplotypes Humans Insulin Laboratories Linkage Disequilibrium Male Medicine and Health Sciences Metabolism Obesity Obesity - genetics Obesity - metabolism Overweight Polymorphism, Single Nucleotide Proteins - genetics Public health Schools Single-nucleotide polymorphism Social Sciences Statistical analysis Statistical methods Studies Teenagers Youth |
title | Association of FTO polymorphisms with obesity and metabolic parameters in Han Chinese adolescents |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T18%3A47%3A21IST&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=Association%20of%20FTO%20polymorphisms%20with%20obesity%20and%20metabolic%20parameters%20in%20Han%20Chinese%20adolescents&rft.jtitle=PloS%20one&rft.au=Wu,%20Junqing&rft.date=2014-06-09&rft.volume=9&rft.issue=6&rft.spage=e98984&rft.epage=e98984&rft.pages=e98984-e98984&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0098984&rft_dat=%3Cgale_plos_%3EA418634111%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=1534317597&rft_id=info:pmid/24911064&rft_galeid=A418634111&rft_doaj_id=oai_doaj_org_article_8da5ecd24f8b491bb5f94bbc8b2dc75e&rfr_iscdi=true |