ArticleGenetic epidemiology2014
Identification of new genetic susceptibility loci for breast cancer through consideration of gene-environment interactions.
Article in Genetic epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Pooled it
- A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry.Breast cancer research : BCR · 2023Article
- Rat Mammary carcinoma susceptibility 3 (Mcs3) pleiotropy, socioenvironmental interaction, and comparative genomics with orthologous human 15q25.1-25.2.G3 (Bethesda, Md.) · 2023Article
- Field cancerization in breast cancer.The Journal of pathology · 2022Review
- A genome-wide gene-based gene-environment interaction study of breast cancer in more than 90,000 women.Cancer research communications · 2022Article
- Aberrant promoter hypermethylation inhibits RGMA expression and contributes to tumor progression in breast cancer.Oncogene · 2022Article
- Article
- Genetic Factors, Adherence to Healthy Lifestyle Behavior, and Risk of Invasive Breast Cancer Among Women in the UK Biobank.Journal of the National Cancer Institute · 2020Article
- Individual and joint performance of DNA methylation profiles, genetic risk score and environmental risk scores for predicting breast cancer risk.Molecular oncology · 2020Article
- Epidemiology of Moderate Alcohol Consumption and Breast Cancer: Association or Causation?Cancers · 2018Review
- Risk, Prediction and Prevention of Hereditary Breast Cancer - Large-Scale Genomic Studies in Times of Big and Smart Data.Geburtshilfe und Frauenheilkunde · 2018Article
- Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018Review
- Chronic post-amputation pain: peri-operative management - Review.British journal of pain · 2017Article
- Update on the State of the Science for Analytical Methods for Gene-Environment Interactions.American journal of epidemiology · 2017Article
- What Does "Precision Medicine" Have to Say About Prevention?Epidemiology (Cambridge, Mass.) · 2017Article
- Pubertal development in girls by breast cancer family history: the LEGACY girls cohort.Breast cancer research : BCR · 2017Article
- The Association Between Body Size and Breast Cancer in Han Women in Northern and Eastern China.The oncologist · 2016Article
- Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United States.JAMA oncology · 2016Article
- Discriminatory power of common genetic variants in personalized breast cancer diagnosis.Proceedings of SPIE--the International Society for Optical Engineering · 2016Article
- Interactions between breast cancer susceptibility loci and menopausal hormone therapy in relationship to breast cancer in the Breast and Prostate Cancer Cohort Consortium.Breast cancer research and treatment · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
81 authors at 20 institutions in 16 countries.
Funding
Abstract
Genes that alter disease risk only in combination with certain environmental exposures may not be detected in genetic association analysis. By using methods accounting for gene-environment (G × E) interaction, we aimed to identify novel genetic loci associated with breast cancer risk. Up to 34,475 cases and 34,786 controls of European ancestry from up to 23 studies in the Breast Cancer Association Consortium were included. Overall, 71,527 single nucleotide polymorphisms (SNPs), enriched for association with breast cancer, were tested for interaction with 10 environmental risk factors using three recently proposed hybrid methods and a joint test of association and interaction. Analyses were adjusted for age, study, population stratification, and confounding factors as applicable. Three SNPs in two independent loci showed statistically significant association: SNPs rs10483028 and rs2242714 in perfect linkage disequilibrium on chromosome 21 and rs12197388 in ARID1B on chromosome 6. While rs12197388 was identified using the joint test with parity and with age at menarche (P-values = 3 × 10(-07)), the variants on chromosome 21 q22.12, which showed interaction with adult body mass index (BMI) in 8,891 postmenopausal women, were identified by all methods applied. SNP rs10483028 was associated with breast cancer in women with a BMI below 25 kg/m(2) (OR = 1.26, 95% CI 1.15-1.38) but not in women with a BMI of 30 kg/m(2) or higher (OR = 0.89, 95% CI 0.72-1.11, P for interaction = 3.2 × 10(-05)). Our findings confirm comparable power of the recent methods for detecting G × E interaction and the utility of using G × E interaction analyses to identify new susceptibility loci.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.