Sex-specific glioma genome-wide association study identifies new risk locus at 3p21.31 in females, and finds sex-differences in risk at 8q24.21

Abstract Incidence of glioma is approximately 50% higher in males. Previous analyses have examined exposures related to sex hormones in women as potential protective factors for these tumors, with inconsistent results. Previous glioma genome-wide association studies (GWAS) have not stratified by sex...

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Autores principales:	Quinn T. Ostrom, Ben Kinnersley, Margaret R. Wrensch, Jeanette E. Eckel-Passow, Georgina Armstrong, Terri Rice, Yanwen Chen, John K. Wiencke, Lucie S. McCoy, Helen M. Hansen, Christopher I. Amos, Jonine L. Bernstein, Elizabeth B. Claus, Dora Il’yasova, Christoffer Johansen, Daniel H. Lachance, Rose K. Lai, Ryan T. Merrell, Sara H. Olson, Siegal Sadetzki, Joellen M. Schildkraut, Sanjay Shete, Joshua B. Rubin, Justin D. Lathia, Michael E. Berens, Ulrika Andersson, Preetha Rajaraman, Stephen J. Chanock, Martha S. Linet, Zhaoming Wang, Meredith Yeager, GliomaScan consortium, Richard S. Houlston, Robert B. Jenkins, Beatrice Melin, Melissa L. Bondy, Jill. S. Barnholtz-Sloan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/967d38752bd941368f970001b4a08515
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spelling	oai:doaj.org-article:967d38752bd941368f970001b4a085152021-12-02T11:41:24ZSex-specific glioma genome-wide association study identifies new risk locus at 3p21.31 in females, and finds sex-differences in risk at 8q24.2110.1038/s41598-018-24580-z2045-2322https://doaj.org/article/967d38752bd941368f970001b4a085152018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-24580-zhttps://doaj.org/toc/2045-2322Abstract Incidence of glioma is approximately 50% higher in males. Previous analyses have examined exposures related to sex hormones in women as potential protective factors for these tumors, with inconsistent results. Previous glioma genome-wide association studies (GWAS) have not stratified by sex. Potential sex-specific genetic effects were assessed in autosomal SNPs and sex chromosome variants for all glioma, GBM and non-GBM patients using data from four previous glioma GWAS. Datasets were analyzed using sex-stratified logistic regression models and combined using meta-analysis. There were 4,831 male cases, 5,216 male controls, 3,206 female cases and 5,470 female controls. A significant association was detected at rs11979158 (7p11.2) in males only. Association at rs55705857 (8q24.21) was stronger in females than in males. A large region on 3p21.31 was identified with significant association in females only. The identified differences in effect of risk variants do not fully explain the observed incidence difference in glioma by sex.Quinn T. OstromBen KinnersleyMargaret R. WrenschJeanette E. Eckel-PassowGeorgina ArmstrongTerri RiceYanwen ChenJohn K. WienckeLucie S. McCoyHelen M. HansenChristopher I. AmosJonine L. BernsteinElizabeth B. ClausDora Il’yasovaChristoffer JohansenDaniel H. LachanceRose K. LaiRyan T. MerrellSara H. OlsonSiegal SadetzkiJoellen M. SchildkrautSanjay SheteJoshua B. RubinJustin D. LathiaMichael E. BerensUlrika AnderssonPreetha RajaramanStephen J. ChanockMartha S. LinetZhaoming WangMeredith YeagerGliomaScan consortiumRichard S. HoulstonRobert B. JenkinsBeatrice MelinMelissa L. BondyJill. S. Barnholtz-SloanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-15 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Quinn T. Ostrom Ben Kinnersley Margaret R. Wrensch Jeanette E. Eckel-Passow Georgina Armstrong Terri Rice Yanwen Chen John K. Wiencke Lucie S. McCoy Helen M. Hansen Christopher I. Amos Jonine L. Bernstein Elizabeth B. Claus Dora Il’yasova Christoffer Johansen Daniel H. Lachance Rose K. Lai Ryan T. Merrell Sara H. Olson Siegal Sadetzki Joellen M. Schildkraut Sanjay Shete Joshua B. Rubin Justin D. Lathia Michael E. Berens Ulrika Andersson Preetha Rajaraman Stephen J. Chanock Martha S. Linet Zhaoming Wang Meredith Yeager GliomaScan consortium Richard S. Houlston Robert B. Jenkins Beatrice Melin Melissa L. Bondy Jill. S. Barnholtz-Sloan Sex-specific glioma genome-wide association study identifies new risk locus at 3p21.31 in females, and finds sex-differences in risk at 8q24.21
description	Abstract Incidence of glioma is approximately 50% higher in males. Previous analyses have examined exposures related to sex hormones in women as potential protective factors for these tumors, with inconsistent results. Previous glioma genome-wide association studies (GWAS) have not stratified by sex. Potential sex-specific genetic effects were assessed in autosomal SNPs and sex chromosome variants for all glioma, GBM and non-GBM patients using data from four previous glioma GWAS. Datasets were analyzed using sex-stratified logistic regression models and combined using meta-analysis. There were 4,831 male cases, 5,216 male controls, 3,206 female cases and 5,470 female controls. A significant association was detected at rs11979158 (7p11.2) in males only. Association at rs55705857 (8q24.21) was stronger in females than in males. A large region on 3p21.31 was identified with significant association in females only. The identified differences in effect of risk variants do not fully explain the observed incidence difference in glioma by sex.
format	article
author	Quinn T. Ostrom Ben Kinnersley Margaret R. Wrensch Jeanette E. Eckel-Passow Georgina Armstrong Terri Rice Yanwen Chen John K. Wiencke Lucie S. McCoy Helen M. Hansen Christopher I. Amos Jonine L. Bernstein Elizabeth B. Claus Dora Il’yasova Christoffer Johansen Daniel H. Lachance Rose K. Lai Ryan T. Merrell Sara H. Olson Siegal Sadetzki Joellen M. Schildkraut Sanjay Shete Joshua B. Rubin Justin D. Lathia Michael E. Berens Ulrika Andersson Preetha Rajaraman Stephen J. Chanock Martha S. Linet Zhaoming Wang Meredith Yeager GliomaScan consortium Richard S. Houlston Robert B. Jenkins Beatrice Melin Melissa L. Bondy Jill. S. Barnholtz-Sloan
author_facet	Quinn T. Ostrom Ben Kinnersley Margaret R. Wrensch Jeanette E. Eckel-Passow Georgina Armstrong Terri Rice Yanwen Chen John K. Wiencke Lucie S. McCoy Helen M. Hansen Christopher I. Amos Jonine L. Bernstein Elizabeth B. Claus Dora Il’yasova Christoffer Johansen Daniel H. Lachance Rose K. Lai Ryan T. Merrell Sara H. Olson Siegal Sadetzki Joellen M. Schildkraut Sanjay Shete Joshua B. Rubin Justin D. Lathia Michael E. Berens Ulrika Andersson Preetha Rajaraman Stephen J. Chanock Martha S. Linet Zhaoming Wang Meredith Yeager GliomaScan consortium Richard S. Houlston Robert B. Jenkins Beatrice Melin Melissa L. Bondy Jill. S. Barnholtz-Sloan
author_sort	Quinn T. Ostrom
title	Sex-specific glioma genome-wide association study identifies new risk locus at 3p21.31 in females, and finds sex-differences in risk at 8q24.21
title_short	Sex-specific glioma genome-wide association study identifies new risk locus at 3p21.31 in females, and finds sex-differences in risk at 8q24.21
title_full	Sex-specific glioma genome-wide association study identifies new risk locus at 3p21.31 in females, and finds sex-differences in risk at 8q24.21
title_fullStr	Sex-specific glioma genome-wide association study identifies new risk locus at 3p21.31 in females, and finds sex-differences in risk at 8q24.21
title_full_unstemmed	Sex-specific glioma genome-wide association study identifies new risk locus at 3p21.31 in females, and finds sex-differences in risk at 8q24.21
title_sort	sex-specific glioma genome-wide association study identifies new risk locus at 3p21.31 in females, and finds sex-differences in risk at 8q24.21
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/967d38752bd941368f970001b4a08515
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Sex-specific glioma genome-wide association study identifies new risk locus at 3p21.31 in females, and finds sex-differences in risk at 8q24.21

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