Pleiotropic: Producing or having multiple effects from a single gene
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abstract:
Genetic Variants in Epigenetic Pathways and Risks of Multiple Cancers in the GAME-ON Consortium | Cancer Epidemiology, Biomarkers & Prevention
Background: Epigenetic disturbances are crucial in cancer initiation,
potentially with pleiotropic effects, and may be influenced by the
genetic background.
Methods: In a subsets (ASSET) meta-analytic
approach, we investigated associations of genetic variants related to
epigenetic mechanisms with risks of breast, lung, colorectal, ovarian
and prostate carcinomas using 51,724 cases and 52,001 controls.
False-discovery-rate corrected p-values (q-values < 0.05) were
considered statistically significant.
Results: Among 162,887 imputed or
genotyped variants in 555 candidate genes, SNPs in eight genes were
associated with risk of more than one cancer type. For example,
variants in BABAM1 were confirmed as a susceptibility locus for squamous
cell lung, overall breast, ER-negative breast, overall prostate,
overall and serous ovarian cancer; the most significant variant was
rs4808076 (odds ratio (OR)=1.14, 95% confidence interval (CI)=1.10-1.19,
q=6.87*10-5). DPF1 rs12611084 was inversely associated with ER-negative
breast, endometrioid ovarian, overall and aggressive prostate cancer
risk (OR=0.93, 95% CI=0.91-0.96, q=0.005). Variants in L3MBTL3 were
associated with colorectal, overall breast, estrogen receptor
(ER)-negative breast, clear cell ovarian, and overall and aggressive
prostate cancer risk (e.g. rs9388766: OR=1.06, 95% CI=1.03-1.08, q=
0.02). Variants in TET2 were significantly associated with overall
breast, overall prostate, overall ovarian and endometrioid ovarian
cancer risk, rs62331150 showing bidirectional effects.
Analyses of
sub-pathways did not reveal gene subsets that contributed
disproportionately to susceptibility.
Conclusion: Functional and
correlative studies are now needed to elucidate the potential links
between germline genotype, epigenetic function, and cancer etiology.
Impact: This approach provides novel insight into possible pleiotropic
effects of genes involved in epigenetic processes.
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