Gene-environment interactions involving functional variants: Results from the Breast Cancer Association Consortium
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Investigating the most likely causal variants identified by fine-mapping analyses may improve the power to detect gene-environment interactions. We assessed the interplay between 70 single nucleotide polymorphisms identified by genetic fine-scale mapping of susceptibility loci and 11 epidemiological breast cancer risk factors in relation to breast cancer. Analyses were conducted on up to 58,573 subjects (26,968 cases and 31,605 controls) from the Breast Cancer Association Consortium, in one of the largest studies of its kind. Analyses were carried out separately for estrogen receptor (ER) positive (ER+) and ER negative (ER-) disease. The Bayesian False Discovery Probability (BFDP) was computed to assess the noteworthiness of the results. Four potential gene-environment interactions were identified as noteworthy (BFDP < 0.80) when assuming a true prior interaction probability of 0.01. The strongest interaction result in relation to overall breast cancer risk was found between CFLAR-rs7558475 and current smoking (OR
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1097-0215
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National Cancer Institute (U19CA148065)
National Cancer Institute (R01CA128978)
European Commission Horizon 2020 (H2020) Societal Challenges (633784)
Cancer Research UK (10710)
Cancer Research UK (16563)
Cancer Research UK (12014)
Cancer Research UK (10118)
European Commission Horizon 2020 (H2020) Societal Challenges (634935)
European Commission (223175)
Cancer Research Uk (None)
Cancer Research Uk (None)
Cancer Research Uk (None)
Cancer Research UK (16565)