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Gene-environment interactions involving functional variants: Results from the Breast Cancer Association Consortium.

ABSTRACT: 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?

SUBMITTER: Barrdahl M 

PROVIDER: S-EPMC5601244 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Gene-environment interactions involving functional variants: Results from the Breast Cancer Association Consortium.

Barrdahl Myrto M   Barrdahl Myrto M   Rudolph Anja A   Hopper John L JL   Southey Melissa C MC   Broeks Annegien A   Fasching Peter A PA   Beckmann Matthias W MW   Gago-Dominguez Manuela M   Castelao J Esteban JE   Guénel Pascal P   Truong Thérèse T   Bojesen Stig E SE   Gapstur Susan M SM   Gaudet Mia M MM   Brenner Hermann H   Arndt Volker V   Brauch Hiltrud H   Hamann Ute U   Mannermaa Arto A   Lambrechts Diether D   Jongen Lynn L   Flesch-Janys Dieter D   Thoene Kathrin K   Couch Fergus J FJ   Giles Graham G GG   Simard Jacques J   Goldberg Mark S MS   Figueroa Jonine J   Michailidou Kyriaki K   Bolla Manjeet K MK   Dennis Joe J   Wang Qin Q   Eilber Ursula U   Behrens Sabine S   Czene Kamila K   Hall Per P   Cox Angela A   Cross Simon S   Swerdlow Anthony A   Schoemaker Minouk J MJ   Dunning Alison M AM   Kaaks Rudolf R   Pharoah Paul D P PDP   Schmidt Marjanka M   Garcia-Closas Montserrat M   Easton Douglas F DF   Milne Roger L RL   Chang-Claude Jenny J  

International journal of cancer 20170811 9

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 t  ...[more]

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