ArticleAmerican journal of epidemiology2007
Using risk-based sampling to enrich cohorts for endpoints, genes, and exposures.
Article in American journal of epidemiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 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
61 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.
- Environmental exposures and breast cancer risk in the context of underlying susceptibility: A systematic review of the epidemiological literature.Environmental research · 2020Pooled it
- Thyroid Disease and Breast Cancer Risk in the Sister Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Early life trauma patterns and adult epigenome-wide and NR3C1-specific DNA methylation in the Sister Study.American journal of epidemiology · 2026Article
- DNA methylation-predicted plasma protein levels and breast cancer risk.Breast cancer research : BCR · 2025Article
- Association of Early-life Trauma With Gestational Diabetes and Hypertensive Disorders of Pregnancy.Epidemiology (Cambridge, Mass.) · 2025Article
- Longitudinal history of mammographic breast density and breast cancer risk by familial risk, menopausal status, and initial mammographic density level in a high risk cohort: a nested case-control study.Breast cancer research : BCR · 2024Article
- Personal Care Product Use during Puberty and Incident Breast Cancer among Black, Hispanic/Latina, and White Women in a Prospective US-Wide Cohort.Environmental health perspectives · 2024Article
- Air Pollutants and Risk of Parkinson's Disease among Women in the Sister Study.Environmental health perspectives · 2024Article
- Early life socioeconomic position contributes to adult obesity independent of adult socioeconomic factors: Findings from the sister study cohort.SSM - population health · 2023Article
- Ambient Air Pollutants and Olfaction among Women 50-79 Years of Age from the Sister Study.Environmental health perspectives · 2023Article
- Association between labor and delivery pain and postpartum pain with symptoms and clinical diagnosis of postpartum depression in patients with overweight and obesity.Archives of gynecology and obstetrics · 2023Observational
- Parkinson's Disease Case Ascertainment in the Sister Study: A Cohort for Environmental Health Research.Journal of Parkinson's disease · 2023Article
- The importance of addressing early life environmental exposures in cancer epidemiology.Current epidemiology reports · 2022Article
- Air Pollution and Breast Cancer: An Examination of Modification By Underlying Familial Breast Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Article
- Vitamin D Supplement Use and Risk of Breast Cancer by Race-Ethnicity.Epidemiology (Cambridge, Mass.) · 2022Article
- Blood DNA methylation profiles improve breast cancer prediction.Molecular oncology · 2022Article
- Cord blood DNA methylome in newborns later diagnosed with autism spectrum disorder reflects early dysregulation of neurodevelopmental and X-linked genes.Genome medicine · 2020Article
- Blood DNA Methylation and Breast Cancer: A Prospective Case-Cohort Analysis in the Sister Study.Journal of the National Cancer Institute · 2020Article
- Dietary index scores and invasive breast cancer risk among women with a family history of breast cancer.The American journal of clinical nutrition · 2019Article
- Higher diet-dependent acid load is associated with risk of breast cancer: Findings from the sister study.International journal of cancer · 2019Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Targeting the first-degree relatives of people with a particular complex disease can offer a powerful approach to building a risk-based cohort for prospective studies of etiologic factors. Such a cohort provides both a sizable increase in the rate of accrual of newly incident cases, enriching for risk factors that are known or even unknown, and a high level of motivation among participants. A nationwide study of breast cancer in the United States and Puerto Rico, the Sister Study, made up of women who are each the sister of a woman with breast cancer, exemplifies this approach. In this paper, the authors provide power calculations to aid in the design of such studies and quantify their benefits for detecting both genetic variants related to risk and interactive effects of genetic and environmental factors. While the risk-based cohort can have markedly increased prevalences of rare causative alleles, most of the power advantages for this design is due to the increased rate of accrual of newly incident cases rather than the increase in any one individual allele.
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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.