Model of prostate cancer aggressiveness using the CGEMS group.

Figshare2015-12-02 更新2026-04-29 收录

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astandard error, based on multivariable logistic model.

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2015-12-02

Model of prostate cancer aggressiveness using the CGEMS group.

astandard error, based on multivariable logistic model.

NIAID Data Ecosystem10

SNP-SNP interactions in angiogenesis genes associated with prostate cancer aggressiveness in the CGEMS and Moffitt group.

aSNP(major/minor allele). ball: all three genotypes in the SNP; others: genotype combinations of the two SNPs other than the specified genotype. c1–c5top 1 to top 5 identified SNP-SNP interactions usi

NIAID Data Ecosystem20

QTL candidate gene SNPs associated with aggressive prostate cancer in CGEMS GWAS.

QTL candidate genes also identified as having a dysregulated expression in prostate cancer gene expression datasets are denoted in bold typeface. QTL candidate gene SNPs associated with aggressive pro

NIAID Data Ecosystem10

SNP-SNP interactions in angiogenesis genes associated with prostate cancer aggressiveness in the CGEMS and Moffitt group.

aSNP(major/minor allele).ball: all three genotypes in the SNP; others: genotype combinations of the two SNPs other than the specified genotype.c1–c5top 1 to top 5 identified SNP-SNP interactions using

Figshare2015-12-02 更新00

CGEMS Prostate Cancer. CGEMS Prostate Cancer

The Cancer Genetic Markers of Susceptibility (CGEMS) prostate cancer genome-wide association study (GWAS) included genotyping approximately 550,000 SNPs (Phase 1A with HumanHap300 and Phase 1B HumanHa

NIAID Data Ecosystem30