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Combining genome-wide studies of breast, prostate, ovarian and endometrial cancers maps cross-cancer susceptibility loci and identifies new genetic associations

Title: Combining genome-wide studies of breast, prostate, ovarian and endometrial cancers maps cross-cancer susceptibility loci and identifies new genetic associations
Authors: BCAC, OCAC, ECAC, E2C2, PRACTICAL, CRUK, BPC3, CAPS, PEGASUS consortia
Publisher Information: Zenodo
Publication Year: 2020
Collection: Zenodo
Description: Data set linked to the paper, "Combining genome-wide studies of breast, prostate, ovarian and endometrial cancers maps cross-cancer susceptibility loci and identifies new genetic associations". Pre-print of the paper is here: https://doi.org/10.1101/2020.06.16.146803. cross_cancer_sum_stats.txt.gz contains summary genome-wide association statistics for susceptibility to single cancers (breast (BR), prostate (PR), ovarian (OV), endometrial (EN), estrogen receptor (ER)-positive breast (POS), ER-negative breast (NEG), and high-grade serous ovarian (HGS) cancers) and from the cross-cancer meta-analysis (main [main] and subtype-focused [sub]). EA in the header refers to the effect allele, OA is the other allele, EAF is the effect allele frequency in the largest of the single cancer data sets (BR), IMPR2 is the imputation quality in the largest of the single cancer data sets (BR), SE is the standard error, PVAL is the P-value, RE2Cs1 is the RE2C statistic mean effect part, RE2Cs2 is the RE2C statistic heterogeneity part, RE2Cp* is the RE2C* P-value. More on RE2Cp* can be found here: http://software.buhmhan.com/RE2C/index.php?mid=contact&act=dispBoardWrite and in https://academic.oup.com/bioinformatics/article/33/14/i379/3953957 SNP names in cross_cancer_sum_stats.txt.gz include the chromosome and build 37 position. main_tetrachoric_corr_matrix.txt and subtype_tetrachoric_corr_matrix.txt provide the tetrachoric correlation matrices used in the main and subtype-focused meta-analyses. These were also used to specify the cryptic.cor argument of the exh.abf function of MetABF. More on MetABF can be found here: https://github.com/trochet/metabf and in https://onlinelibrary.wiley.com/doi/abs/10.1002/gepi.22202 prior_sigmas_for_metabf.txt contains the values used to specify the prior.sigma argument of the exh.abf function in MetABF. The breast cancer data used are described in PMID 29059683 and can be downloaded from http://bcac.ccge.medschl.cam.ac.uk/bcacdata/oncoarray/oncoarray-and-combined-summary-result/gwas- ...
Document Type: dataset
Language: unknown
Relation: https://zenodo.org/records/3911767; oai:zenodo.org:3911767; https://doi.org/10.5281/zenodo.3911767
DOI: 10.5281/zenodo.3911767
Availability: https://doi.org/10.5281/zenodo.3911767; https://zenodo.org/records/3911767
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.2EFE2135
Database: BASE