Searching for causal relationships of glioma: a phenome-wide Mendelian randomisation study.
Searching for causal relationships of glioma: a phenome-wide Mendelian randomisation study.
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DOI:
10.1038/s41416-020-01083-1
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发表时间:
2021-01
影响因子:
8.8
通讯作者:
Collaborators
中科院分区:
文献类型:
--
作者:
Saunders CN;Cornish AJ;Kinnersley B;Law PJ;Houlston RS;Collaborators
The aetiology of glioma is poorly understood. Summary data from genome-wide association studies (GWAS) can be used in a Mendelian randomisation (MR) phenome-wide association study (PheWAS) to search for glioma risk factors. We performed an MR-PheWAS analysing 316 phenotypes, proxied by 8387 genetic variants, and summary genetic data from a GWAS of 12,488 glioma cases and 18,169 controls. Causal effects were estimated under a random-effects inverse-variance-weighted (IVW-RE) model, with robust adjusted profile score (MR-RAPS), weighted median and mode-based estimates computed to assess the robustness of findings. Odds ratios per one standard deviation increase in each phenotype were calculated for all glioma, glioblastoma (GBM) and non-GBM tumours. No significant associations (P < 1.58 × 10−4) were observed between phenotypes and glioma under the IVW-RE model. Suggestive associations (1.58 × 10−4 < P < 0.05) were observed between leukocyte telomere length (LTL) with all glioma (ORSD = 3.91, P = 9.24 × 10−3) and GBM (ORSD = 4.86, P = 3.23 × 10−2), but the association was primarily driven by the TERT variant rs2736100. Serum low-density lipoprotein cholesterol and plasma HbA1C showed suggestive associations with glioma (ORSD = 1.11, P = 1.39 × 10−2 and ORSD = 1.28, P = 1.73 × 10−2, respectively), both associations being reliant on single genetic variants. Our study provides further insight into the aetiological basis of glioma for which published data have been mixed.
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影响因子:
8.8
作者:
Johansen C;Schüz J;Andreasen AS;Dalton SO
通讯作者:
Dalton SO
影响因子:
2.1
作者:
Bowden J;Davey Smith G;Haycock PC;Burgess S
通讯作者:
Burgess S
DOI:
10.1126/science.aaz6876
发表时间:
2020-09-11
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Demanelis K;Jasmine F;Chen LS;Chernoff M;Tong L;Delgado D;Zhang C;Shinkle J;Sabarinathan M;Lin H;Ramirez E;Oliva M;Kim-Hellmuth S;Stranger BE;Lai TP;Aviv A;Ardlie KG;Aguet F;Ahsan H;GTEx Consortium;Doherty JA;Kibriya MG;Pierce BL
通讯作者:
Pierce BL
影响因子:
7.7
作者:
Brion, Marie-Jo A.;Shakhbazov, Konstantin;Visscher, Peter M.
通讯作者:
Visscher, Peter M.
DOI:
10.1080/01635581.2011.523807
发表时间:
2011
期刊:
Nutrition and cancer
影响因子:
--
作者:
Kyritsis AP;Bondy ML;Levin VA
通讯作者:
Levin VA