ArticleGenetic epidemiology2012
Next generation analytic tools for large scale genetic epidemiology studies of complex diseases.
Article in Genetic epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
43 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Review of the Gene-Environment Interaction Literature in Cancer: What Do We Know?Genetic epidemiology · 2016Pooled it
- Pooled it
- Ethical, Legal, and Social Implications of Gene-Environment Interaction Research.Genetic epidemiology · 2025Review
- On the application, reporting, and sharing of in silico simulations for genetic studies.Genetic epidemiology · 2021Review
- Opportunities for Gene and Environment Research in Cancer: An Updated Review of NCI's Extramural Grant Portfolio.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021Review
- Facilitating cancer systems epidemiology research.PloS one · 2021Article
- Overcoming the challenges of imputation of rare variants in a Taiwanese cohort.Translational cancer research · 2020Article
- Beyond the looking glass: recent advances in understanding the impact of environmental exposures on neuropsychiatric disease.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Review
- Genetic Simulation Resources and the GSR Certification Program.Bioinformatics (Oxford, England) · 2019Article
- sim1000G: a user-friendly genetic variant simulator in R for unrelated individuals and family-based designs.BMC bioinformatics · 2019Article
- Stepwise approach to SNP-set analysis illustrated with the Metabochip and colorectal cancer in Japanese Americans of the Multiethnic Cohort.BMC genomics · 2018Article
- Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases.American journal of epidemiology · 2017Article
- Lessons Learned From Past Gene-Environment Interaction Successes.American journal of epidemiology · 2017Review
- A combined reference panel from the 1000 Genomes and UK10K projects improved rare variant imputation in European and Chinese samples.Scientific reports · 2016Article
- Tests for Gene-Environment Interactions and Joint Effects With Exposure Misclassification.American journal of epidemiology · 2016Article
- RDoC and translational perspectives on the genetics of trauma-related psychiatric disorders.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2016Review
- GESDB: a platform of simulation resources for genetic epidemiology studies.Database : the journal of biological databases and curation · 2016Article
- Likelihood-based complex trait association testing for arbitrary depth sequencing data.Bioinformatics (Oxford, England) · 2015Article
- Deciphering Genome Environment Wide Interactions Using Exposed Subjects Only.Genetic epidemiology · 2015Article
- The mathematical limits of genetic prediction for complex chronic disease.Journal of epidemiology and community health · 2015Article
Corrections and comments
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Authors and funding
27 authors.
Funding
Abstract
Over the past several years, genome-wide association studies (GWAS) have succeeded in identifying hundreds of genetic markers associated with common diseases. However, most of these markers confer relatively small increments of risk and explain only a small proportion of familial clustering. To identify obstacles to future progress in genetic epidemiology research and provide recommendations to NIH for overcoming these barriers, the National Cancer Institute sponsored a workshop entitled "Next Generation Analytic Tools for Large-Scale Genetic Epidemiology Studies of Complex Diseases" on September 15-16, 2010. The goal of the workshop was to facilitate discussions on (1) statistical strategies and methods to efficiently identify genetic and environmental factors contributing to the risk of complex disease; and (2) how to develop, apply, and evaluate these strategies for the design, analysis, and interpretation of large-scale complex disease association studies in order to guide NIH in setting the future agenda in this area of research. The workshop was organized as a series of short presentations covering scientific (gene-gene and gene-environment interaction, complex phenotypes, and rare variants and next generation sequencing) and methodological (simulation modeling and computational resources and data management) topic areas. Specific needs to advance the field were identified during each session and are summarized.
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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.