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The OncoArray Consortium: A network for understanding the genetic architecture of common cancers.

Cancer Epidemiol. Biomarkers Prev. 26, 126-135 (2017)
Verlagsversion Postprint DOI PMC
Open Access Green
BACKGROUND: Common 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. METHODS: The 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. RESULTS: The 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. CONCLUSIONS: Results 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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Genome-wide Association; Ovarian-cancer; Susceptibility Loci; Prostate-cancer; Endometrial Cancer; Lung-cancer; Breast-cancer; Risk Loci; Environment Interactions; Mendelian Randomization
Sprache englisch
Veröffentlichungsjahr 2017
Prepublished im Jahr 2016
HGF-Berichtsjahr 2016
ISSN (print) / ISBN 1055-9965
e-ISSN 1538-7755
Quellenangaben Band: 26, Heft: 1, Seiten: 126-135 Artikelnummer: , Supplement: ,
Verlag American Association for Cancer Research (AACR)
Verlagsort Philadelphia
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
30503 - Chronic Diseases of the Lung and Allergies
80000 - German Center for Lung Research
Forschungsfeld(er) Genetics and Epidemiology
Lung Research
PSP-Element(e) G-504091-001
G-503900-001
G-501800-392
Scopus ID 85009110706
PubMed ID 27697780
Erfassungsdatum 2016-10-14