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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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. / GliomaScan Consortium.

I: Scientific Reports, Bind 8, 7352, 2018.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

GliomaScan Consortium 2018, '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', Scientific Reports, bind 8, 7352. https://doi.org/10.1038/s41598-018-24580-z

APA

GliomaScan Consortium (2018). 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. Scientific Reports, 8, [7352]. https://doi.org/10.1038/s41598-018-24580-z

Vancouver

GliomaScan Consortium. 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. Scientific Reports. 2018;8. 7352. https://doi.org/10.1038/s41598-018-24580-z

Author

GliomaScan Consortium. / 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. I: Scientific Reports. 2018 ; Bind 8.

Bibtex

@article{acf7ed77b20648d1a7f45cd9e3302d74,
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",
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.",
author = "Ostrom, {Quinn T} and Ben Kinnersley and Wrensch, {Margaret R} and Eckel-Passow, {Jeanette E} and Georgina Armstrong and Terri Rice and Yanwen Chen and Wiencke, {John K} and McCoy, {Lucie S} and Hansen, {Helen M} and Amos, {Christopher I} and Bernstein, {Jonine L} and Claus, {Elizabeth B} and Dora Il'yasova and Christoffer Johansen and Lachance, {Daniel H} and Lai, {Rose K} and Merrell, {Ryan T} and Olson, {Sara H} and Siegal Sadetzki and Schildkraut, {Joellen M} and Sanjay Shete and Rubin, {Joshua B} and Lathia, {Justin D} and Berens, {Michael E} and Ulrika Andersson and Preetha Rajaraman and Chanock, {Stephen J} and Linet, {Martha S} and Zhaoming Wang and Meredith Yeager and {GliomaScan Consortium} and Houlston, {Richard S} and Jenkins, {Robert B} and Beatrice Melin and Bondy, {Melissa L} and Barnholtz-Sloan, {Jill S}",
year = "2018",
doi = "10.1038/s41598-018-24580-z",
language = "English",
volume = "8",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - 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

AU - Ostrom, Quinn T

AU - Kinnersley, Ben

AU - Wrensch, Margaret R

AU - Eckel-Passow, Jeanette E

AU - Armstrong, Georgina

AU - Rice, Terri

AU - Chen, Yanwen

AU - Wiencke, John K

AU - McCoy, Lucie S

AU - Hansen, Helen M

AU - Amos, Christopher I

AU - Bernstein, Jonine L

AU - Claus, Elizabeth B

AU - Il'yasova, Dora

AU - Johansen, Christoffer

AU - Lachance, Daniel H

AU - Lai, Rose K

AU - Merrell, Ryan T

AU - Olson, Sara H

AU - Sadetzki, Siegal

AU - Schildkraut, Joellen M

AU - Shete, Sanjay

AU - Rubin, Joshua B

AU - Lathia, Justin D

AU - Berens, Michael E

AU - Andersson, Ulrika

AU - Rajaraman, Preetha

AU - Chanock, Stephen J

AU - Linet, Martha S

AU - Wang, Zhaoming

AU - Yeager, Meredith

AU - GliomaScan Consortium

AU - Houlston, Richard S

AU - Jenkins, Robert B

AU - Melin, Beatrice

AU - Bondy, Melissa L

AU - Barnholtz-Sloan, Jill S

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

U2 - 10.1038/s41598-018-24580-z

DO - 10.1038/s41598-018-24580-z

M3 - Journal article

C2 - 29743610

VL - 8

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 7352

ER -

ID: 213164724