ArticleInternational journal of molecular epidemiology and genetics2013
Pleiotropy and pathway analyses of genetic variants associated with both type 2 diabetes and prostate cancer.
Article in International journal of molecular epidemiology and genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Interplay Between Type 2 Diabetes Susceptibility and Prostate Cancer Progression: Functional Insights intoDiagnostics (Basel, Switzerland) · 2025Article
- Reworking GWAS Data to Understand the Role of Nongenetic Factors in MS Etiopathogenesis.Genes · 2020Review
- Progress in Polygenic Composite Scores in Alzheimer's and Other Complex Diseases.Trends in genetics : TIG · 2019Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
aimsEpidemiological evidence shows that diabetes is associated with a reduced risk of prostate cancer. The objective of this study was to identify genes that may contribute to both type 2 diabetes and prostate cancer outcomes and the biological pathways these diseases may share.
methodsThe Atherosclerosis Risk in Communities (ARIC) Study is a population-based prospective cohort study in four U.S. communities that included a baseline examination in 1987-89 and three follow-up exams at three year intervals. Participants were 45-64 years old at baseline. We conducted a genomewide association (GWA) study of incident type 2 diabetes in males, summarized variation across genetic loci into a polygenic risk score, and determined if that diabetes risk score was also associated with incident prostate cancer in the same study population. Secondarily we conducted a separate GWA study of prostate cancer, performed a pathway analysis of both type 2 diabetes and prostate cancer, and qualitatively determined if any of the biochemical pathways identified were shared between the two outcomes.
resultsWe found that the polygenic risk score for type 2 diabetes was not statistically significantly associated with prostate cancer. The pathway analysis also found no overlap between pathways associated with type 2 diabetes and prostate cancer. However, it did find that the growth hormone signaling pathway was statistically significantly associated with type 2 diabetes (p=0.0001).
conclusionThe inability of this study to find an association between type 2 diabetes polygenic risk scores with prostate cancer or biological pathways in common suggests that shared genetic variants may not contribute significantly to explaining shared etiology.
Indexed as
Identifiers
23565322PMC3612454W23599258What OpenQuestion holds
Registered trials
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