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

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

doi:10.1158/1055-9965.epi-16-0106

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

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

Institut for Klinisk Medicin

148 Citationer (Scopus)

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 diseasespecific 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.

Originalsprog	Engelsk
Tidsskrift	Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
Vol/bind	26
Udgave nummer	1
Sider (fra-til)	126-135
Antal sider	10
ISSN	1055-9965
DOI	https://doi.org/10.1158/1055-9965.epi-16-0106
Status	Udgivet - jan. 2017

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Amos, C. I., Dennis, J., Wang, Z., Byun, J., Schumacher, F. R., Gayther, S. A., Casey, G., Hunter, D. J., Sellers, T. A., Gruber, S. B., Dunning, A. M., Michailidou, K., Fachal, L., Doheny, K., Spurdle, A. B., Li, Y., Xiao, X., Romm, J., Pugh, E., ... Easton, D. F. (2017). The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 26(1), 126-135. https://doi.org/10.1158/1055-9965.epi-16-0106

The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers. / Amos, Christopher I; Dennis, Joe; Wang, Zhaoming et al.
I: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, Bind 26, Nr. 1, 01.2017, s. 126-135.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Amos, CI, Dennis, J, Wang, Z, Byun, J, Schumacher, FR, Gayther, SA, Casey, G, Hunter, DJ, Sellers, TA, Gruber, SB, Dunning, AM, Michailidou, K, Fachal, L, Doheny, K, Spurdle, AB, Li, Y, Xiao, X, Romm, J, Pugh, E, Coetzee, GA, Hazelett, DJ, Bojesen, SE, Caga-Anan, C, Haiman, CA, Kamal, A, Luccarini, C, Tessier, DC, Vincent, D, Bacot, F, Van Den Berg, DJ, Nelson, S, Demetriades, S, Goldgar, DE, Couch, FJ, Forman, JL, Giles, G, Conti, DV, Bickeböller, H, Risch, A, Waldenberger, M, Brüske-Hohlfeld, I, Hicks, BD, Ling, H, McGuffog, L, Lee, A, Kuchenbaecker, KB, Soucy, P, Manz, J, Cunningham, JM, Butterbach, K, Kote-Jarai, Z, Kraft, P, Fitzgerald, L, Lindström, S, Adams, M, McKay, JD, Phelan, CM, Benlloch, S, Kelemen, LE, Brennan, P, Riggan, M, O'Mara, TA, Shen, H, Shi, Y, Thompson, DJ, Goodman, MT, Nielsen, SF, Berchuck, A, Laboissiere, S, Schmit, SL, Shelford, T, Edlund, CK, Taylor, JA, Field, JK, Park, SK, Offit, K, Thomassen, M, Schmutzler, R, Ottini, L, Hung, RJ, Marchini, JL, Amin Al Olama, A, Peters, U, Eeles, RA, Seldin, MF, Gillanders, E, Seminara, D, Antoniou, AC, Pharoah, PPD, Chenevix-Trench, G, Chanock, SJ, Simard, J & Easton, DF 2017, 'The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers', Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, bind 26, nr. 1, s. 126-135. https://doi.org/10.1158/1055-9965.epi-16-0106

Amos CI, Dennis J, Wang Z, Byun J, Schumacher FR, Gayther SA et al. The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology. 2017 jan.;26(1):126-135. doi: 10.1158/1055-9965.epi-16-0106

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doi = "10.1158/1055-9965.epi-16-0106",

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pages = "126--135",

journal = "Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology",

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T1 - The OncoArray Consortium

T2 - A Network for Understanding the Genetic Architecture of Common Cancers

AU - Amos, Christopher I

AU - Dennis, Joe

AU - Wang, Zhaoming

AU - Byun, Jinyoung

AU - Schumacher, Fredrick R

AU - Gayther, Simon A

AU - Casey, Graham

AU - Hunter, David J

AU - Sellers, Thomas A

AU - Gruber, Stephen B

AU - Dunning, Alison M

AU - Michailidou, Kyriaki

AU - Fachal, Laura

AU - Doheny, Kimberly

AU - Spurdle, Amanda B

AU - Li, Yafang

AU - Xiao, Xiangjun

AU - Romm, Jane

AU - Pugh, Elizabeth

AU - Coetzee, Gerhard A

AU - Hazelett, Dennis J

AU - Bojesen, Stig E

AU - Caga-Anan, Charlisse

AU - Haiman, Christopher A

AU - Kamal, Ahsan

AU - Luccarini, Craig

AU - Tessier, Daniel C

AU - Vincent, Daniel

AU - Bacot, François

AU - Van Den Berg, David J

AU - Nelson, Stefanie

AU - Demetriades, Stephen

AU - Goldgar, David E

AU - Couch, Fergus J

AU - Forman, Judith L

AU - Giles, Graham

AU - Conti, David V

AU - Bickeböller, Heike

AU - Risch, Angela

AU - Waldenberger, Melanie

AU - Brüske-Hohlfeld, Irene

AU - Hicks, Belynda D

AU - Ling, Hua

AU - McGuffog, Lesley

AU - Lee, Andrew

AU - Kuchenbaecker, Karoline B

AU - Soucy, Penny

AU - Manz, Judith

AU - Cunningham, Julie M

AU - Butterbach, Katja

AU - Kote-Jarai, Zsofia

AU - Kraft, Peter

AU - Fitzgerald, Liesel

AU - Lindström, Sara

AU - Adams, Marcia

AU - McKay, James D

AU - Phelan, Catherine M

AU - Benlloch, Sara

AU - Kelemen, Linda E

AU - Brennan, Paul

AU - Riggan, Marjorie

AU - O'Mara, Tracy A

AU - Shen, Hongbing

AU - Shi, Yongyong

AU - Thompson, Deborah J

AU - Goodman, Marc T

AU - Nielsen, Sune F

AU - Berchuck, Andrew

AU - Laboissiere, Sylvie

AU - Schmit, Stephanie L

AU - Shelford, Tameka

AU - Edlund, Christopher K

AU - Taylor, Jack A

AU - Field, John K

AU - Park, Sue K

AU - Offit, Kenneth

AU - Thomassen, Mads

AU - Schmutzler, Rita

AU - Ottini, Laura

AU - Hung, Rayjean J

AU - Marchini, Jonathan L

AU - Amin Al Olama, Ali

AU - Peters, Ulrike

AU - Eeles, Rosalind A

AU - Seldin, Michael F

AU - Gillanders, Elizabeth

AU - Seminara, Daniela

AU - Antoniou, Antonis C

AU - Pharoah, Paul P D

AU - Chenevix-Trench, Georgia

AU - Chanock, Stephen J

AU - Simard, Jacques

AU - Easton, Douglas F

PY - 2017/1

Y1 - 2017/1

N2 - 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 diseasespecific 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.

AB - 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 diseasespecific 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.

KW - Journal Article

U2 - 10.1158/1055-9965.epi-16-0106

DO - 10.1158/1055-9965.epi-16-0106

M3 - Journal article

C2 - 27697780

SN - 1055-9965

VL - 26

SP - 126

EP - 135

JO - Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

JF - Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

IS - 1

ER -

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

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