Fine mapping association study and functional analysis implicate a SNP in MSMB at 10q11 as a causal variant for prostate cancer risk.

Analysis of the 10q11 Cancer Risk Locus Implicates MSMB and NCOA4 in Human Prostate Tumorigenesis

Genome-wide association studies (GWAS) have established a variant, rs10993994, on chromosome 10q11 as being associated with prostate cancer risk. Since the variant is located outside of a protein-coding region, the target genes driving tumorigenesis are not readily apparent. Two genes nearest to this variant, MSMB and NCOA4, are strong candidates for mediating the effects of rs109939934. In a c...

Evidence for an association between prostate cancer and chromosome 8q24 and 10q11 genetic variants in African American men: the Flint Men's Health Study.

BACKGROUND Prostate cancer is the most commonly diagnosed non-skin cancer in men in the United States and the second leading cause of cancer-related mortality. African American men have substantially increased risk of both being diagnosed and dying from the disease. Recent genome-wide genetic association studies have identified a number of common single nucleotide genetic polymorphisms (SNPs) t...

Functional relevance of the candidate genes MSMB, NCOA4, TIMM23 and PARG in the prostate cancer risk region 10q11 for the emergence of oncogenic TMPRSS2:ERG fusions

Replication of the 10q11 and Xp11 prostate cancer risk variants: results from a Utah pedigree-based study.

A recent genome-wide association study suggested seven new loci as associated with prostate cancer susceptibility. The strongest associated single nucleotide polymorphism (SNP) in each region was identified (rs2660753, rs9364554, rs6465657, rs10993994, rs7931342, rs2735839, rs5945619). We studied these seven SNPs in a replication study consisting of 169 familial prostate cancer cases selected f...

Re-Ranking Sequencing Variants in the Post-GWAS Era for Accurate Causal Variant Identification

Next generation sequencing has dramatically increased our ability to localize disease-causing variants by providing base-pair level information at costs increasingly feasible for the large sample sizes required to detect complex-trait associations. Yet, identification of causal variants within an established region of association remains a challenge. Counter-intuitively, certain factors that in...