ReviewCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2017
The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers.
Review in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 239 papers, 16 of them syntheses 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
239 citing papers in PubMed, 16 syntheses or guidelines pooled it, 386 citations in OpenAlex.
- Causal association between plasma proteins and lung adenocarcinoma: a two-sample mendelian randomization study.BMC pulmonary medicine · 2025Pooled it
- Causal Association Between Sedentary Behaviors and Health Outcomes: A Systematic Review and Meta-Analysis of Mendelian Randomization Studies.Sports medicine (Auckland, N.Z.) · 2024Pooled it
- Multi-ancestry GWAS meta-analyses of lung cancer reveal susceptibility loci and elucidate smoking-independent genetic risk.Nature communications · 2024Pooled it
- Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry.Genome medicine · 2023Pooled it
- Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer.Nature genetics · 2022Pooled it
- Germline variants and breast cancer survival in patients with distant metastases at primary breast cancer diagnosis.Scientific reports · 2021Pooled it
- RNA-Binding Protein Polymorphisms as Novel Biomarkers to Predict Outcomes of Metastatic Colorectal Cancer: A Meta-analysis from TRIBE, FIRE-3, and MAVERICC.Molecular cancer therapeutics · 2021Pooled it
- The Shared Genetic Architectures Between Lung Cancer and Multiple Polygenic Phenotypes in Genome-Wide Association Studies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021Pooled it
- Genome-wide association meta-analysis identifies pleiotropic risk loci for aerodigestive squamous cell cancers.PLoS genetics · 2021Pooled it
- Genome-wide association study of INDELs identified four novel susceptibility loci associated with lung cancer risk.International journal of cancer · 2020Pooled it
- AMPK variant, a candidate of novel predictor for chemotherapy in metastatic colorectal cancer: A meta-analysis using TRIBE, MAVERICC and FIRE3.International journal of cancer · 2019Pooled it
- Homeobox B13 G84E Mutation and Prostate Cancer Risk.European urology · 2019Pooled it
- Impact of polymorphisms within genes involved in regulating DNA methylation in patients with metastatic colorectal cancer enrolled in three independent, randomised, open-label clinical trials: a meta-analysis from TRIBE, MAVERICC and FIRE-3.European journal of cancer (Oxford, England : 1990) · 2019Pooled it
- Large-Scale Genome-Wide Association Study of East Asians Identifies Loci Associated With Risk for Colorectal Cancer.Gastroenterology · 2019Pooled it
- Genome-wide association study of germline variants and breast cancer-specific mortality.British journal of cancer · 2019Pooled it
- Discovery of common and rare genetic risk variants for colorectal cancer.Nature genetics · 2019Pooled it
- Gene network and biological pathways associated with susceptibility to differentiated thyroid carcinoma.Scientific reports · 2021Trial
- Germline genetic variation in prostate susceptibility does not predict outcomes in the chemoprevention trials PCPT and SELECT.Prostate cancer and prostatic diseases · 2020Trial
- Differences in overall survival for invasive epithelial ovarian cancer by race and ethnicity: results from the Ovarian Cancer Association Consortium.British journal of cancer · 2026Article
- Using Polygenic Risk Scores to Refine Risk and Outcomes in High-grade Serous Ovarian Cancer in Australia.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
179 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
93 authors at 1 institution in 1 country.
Funding
Abstract
backgroundCommon cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an inexpensive genotyping microarray, the OncoArray. The array includes a genome-wide backbone, comprising 230,000 SNPs tagging most common genetic variants, together with dense mapping of known susceptibility regions, rare variants from sequencing experiments, pharmacogenetic markers, and cancer-related traits.
methodsThe OncoArray can be genotyped using a novel technology developed by Illumina to facilitate efficient genotyping. The consortium developed standard approaches for selecting SNPs for study, for quality control of markers, and for ancestry analysis. The array was genotyped at selected sites and with prespecified replicate samples to permit evaluation of genotyping accuracy among centers and by ethnic background.
resultsThe OncoArray consortium genotyped 447,705 samples. A total of 494,763 SNPs passed quality control steps with a sample success rate of 97% of the samples. Participating sites performed ancestry analysis using a common set of markers and a scoring algorithm based on principal components analysis.
conclusionsResults from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures. IMPACT: Ongoing analyses will shed light on etiology and risk assessment for many types of cancer. Cancer Epidemiol Biomarkers Prev; 26(1); 126-35. ©2016 AACR.
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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.