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Data from The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers

Authors :
Douglas F. Easton
Jacques Simard
Stephen J. Chanock
Georgia Chenevix-Trench
Paul D.P. Pharoah
Antonis C. Antoniou
Daniela Seminara
Elizabeth Gillanders
Michael F. Seldin
Rosalind A. Eeles
Ulrike Peters
Ali Amin Al Olama
Jonathan Marchini
Rayjean J. Hung
Laura Ottini
Rita Schmutzler
Mads Thomassen
Kenneth Offit
Sue K. Park
John K. Field
Jack A. Taylor
Christopher K. Edlund
Tameka Shelford
Stephanie L. Schmit
Sylvie Laboissiere
Andrew Berchuck
Sune F. Nielsen
Marc T. Goodman
Deborah J. Thompson
Yongyong Shi
Hongbing Shen
Tracy A. O'Mara
Marjorie Riggan
Paul Brennan
Linda E. Kelemen
Sara Benlloch
Catherine M. Phelan
James D. McKay
Marcia Adams
Sara Lindström
Liesel FitzGerald
Peter Kraft
Zsofia Kote-Jarai
Katja Butterbach
Julie M. Cunningham
Judith Manz
Penny Soucy
Karoline Kuchenbaecker
Andrew Lee
Lesley McGuffog
Hua Ling
Belynda D. Hicks
Irene Brüske-Hohlfeld
Melanie Waldenberger
Angela Risch
Heike Bickeböller
David V. Conti
Graham G. Giles
Judith L. Forman
Fergus J. Couch
David E. Goldgar
Stephen Demetriades
Stefanie Nelson
David J. Van Den Berg
François Bacot
Daniel Vincent
Daniel Tessier
Craig Luccarini
Ahsan Kamal
Christopher A. Haiman
Charlisse Caga-Anan
Stig E. Bojesen
Dennis J. Hazelett
Gerhard A. Coetzee
Elizabeth Pugh
Jane Romm
Xiangjun Xiao
Yafang Li
Amanda B. Spurdle
Kimberly Doheny
Laura Fachal
Kyriaki Michailidou
Alison M. Dunning
Stephen B. Gruber
Thomas A. Sellers
David J. Hunter
Graham Casey
Simon A. Gayther
Fredrick R. Schumacher
Jinyoung Byun
Zhaoming Wang
Joe Dennis
Christopher I. Amos
Publication Year :
2023
Publisher :
American Association for Cancer Research (AACR), 2023.

Abstract

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. Cancer Epidemiol Biomarkers Prev; 26(1); 126–35. ©2016 AACR.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....2d702a262a9e6fcdd335cda9f06c6e63
Full Text :
https://doi.org/10.1158/1055-9965.c.6515389.v1