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Genome-Wide Testing of Putative Functional Exonic Variants in Relationship with Breast and Prostate Cancer Risk in a Multiethnic Population

Rare variation in protein coding sequence is poorly captured by GWAS arrays and has been hypothesized to contribute to disease heritability. Using the Illumina HumanExome SNP array, we successfully genotyped 191,032 common and rare non-synonymous, splice site, or nonsense variants in a multiethnic s...

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Autores principales: Haiman, Christopher A., Han, Ying, Feng, Ye, Xia, Lucy, Hsu, Chris, Sheng, Xin, Pooler, Loreall C., Patel, Yesha, Kolonel, Laurence N., Carter, Erin, Park, Karen, Le Marchand, Loic, Van Den Berg, David, Henderson, Brian E., Stram, Daniel O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3610631/
https://www.ncbi.nlm.nih.gov/pubmed/23555315
http://dx.doi.org/10.1371/journal.pgen.1003419
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author Haiman, Christopher A.
Han, Ying
Feng, Ye
Xia, Lucy
Hsu, Chris
Sheng, Xin
Pooler, Loreall C.
Patel, Yesha
Kolonel, Laurence N.
Carter, Erin
Park, Karen
Le Marchand, Loic
Van Den Berg, David
Henderson, Brian E.
Stram, Daniel O.
author_facet Haiman, Christopher A.
Han, Ying
Feng, Ye
Xia, Lucy
Hsu, Chris
Sheng, Xin
Pooler, Loreall C.
Patel, Yesha
Kolonel, Laurence N.
Carter, Erin
Park, Karen
Le Marchand, Loic
Van Den Berg, David
Henderson, Brian E.
Stram, Daniel O.
author_sort Haiman, Christopher A.
collection PubMed
description Rare variation in protein coding sequence is poorly captured by GWAS arrays and has been hypothesized to contribute to disease heritability. Using the Illumina HumanExome SNP array, we successfully genotyped 191,032 common and rare non-synonymous, splice site, or nonsense variants in a multiethnic sample of 2,984 breast cancer cases, 4,376 prostate cancer cases, and 7,545 controls. In breast cancer, the strongest associations included either SNPs in or gene burden scores for genes LDLRAD1, SLC19A1, FGFBP3, CASP5, MMAB, SLC16A6, and INS-IGF2. In prostate cancer, one of the most associated SNPs was in the gene GPRC6A (rs2274911, Pro91Ser, OR = 0.88, P = 1.3×10(−5)) near to a known risk locus for prostate cancer; other suggestive associations were noted in genes such as F13A1, ANXA4, MANSC1, and GP6. For both breast and prostate cancer, several of the most significant associations involving SNPs or gene burden scores (sum of minor alleles) were noted in genes previously reported to be associated with a cancer-related phenotype. However, only one of the associations (rs145889899 in LDLRAD1, p = 2.5×10(−7) only seen in African Americans) for overall breast or prostate cancer risk was statistically significant after correcting for multiple comparisons. In addition to breast and prostate cancer, other cancer-related traits were examined (body mass index, PSA level, and alcohol drinking) with a number of known and potentially novel associations described. In general, these findings do not support there being many protein coding variants of moderate to high risk for breast and prostate cancer with odds ratios over a range that is probably required for protein coding variation to play a truly outstanding role in risk heritability. Very large sample sizes will be required to better define the role of rare and less penetrant coding variation in prostate and breast cancer disease genetics.
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spelling pubmed-36106312013-04-03 Genome-Wide Testing of Putative Functional Exonic Variants in Relationship with Breast and Prostate Cancer Risk in a Multiethnic Population Haiman, Christopher A. Han, Ying Feng, Ye Xia, Lucy Hsu, Chris Sheng, Xin Pooler, Loreall C. Patel, Yesha Kolonel, Laurence N. Carter, Erin Park, Karen Le Marchand, Loic Van Den Berg, David Henderson, Brian E. Stram, Daniel O. PLoS Genet Research Article Rare variation in protein coding sequence is poorly captured by GWAS arrays and has been hypothesized to contribute to disease heritability. Using the Illumina HumanExome SNP array, we successfully genotyped 191,032 common and rare non-synonymous, splice site, or nonsense variants in a multiethnic sample of 2,984 breast cancer cases, 4,376 prostate cancer cases, and 7,545 controls. In breast cancer, the strongest associations included either SNPs in or gene burden scores for genes LDLRAD1, SLC19A1, FGFBP3, CASP5, MMAB, SLC16A6, and INS-IGF2. In prostate cancer, one of the most associated SNPs was in the gene GPRC6A (rs2274911, Pro91Ser, OR = 0.88, P = 1.3×10(−5)) near to a known risk locus for prostate cancer; other suggestive associations were noted in genes such as F13A1, ANXA4, MANSC1, and GP6. For both breast and prostate cancer, several of the most significant associations involving SNPs or gene burden scores (sum of minor alleles) were noted in genes previously reported to be associated with a cancer-related phenotype. However, only one of the associations (rs145889899 in LDLRAD1, p = 2.5×10(−7) only seen in African Americans) for overall breast or prostate cancer risk was statistically significant after correcting for multiple comparisons. In addition to breast and prostate cancer, other cancer-related traits were examined (body mass index, PSA level, and alcohol drinking) with a number of known and potentially novel associations described. In general, these findings do not support there being many protein coding variants of moderate to high risk for breast and prostate cancer with odds ratios over a range that is probably required for protein coding variation to play a truly outstanding role in risk heritability. Very large sample sizes will be required to better define the role of rare and less penetrant coding variation in prostate and breast cancer disease genetics. Public Library of Science 2013-03-28 /pmc/articles/PMC3610631/ /pubmed/23555315 http://dx.doi.org/10.1371/journal.pgen.1003419 Text en © 2013 Haiman et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Haiman, Christopher A.
Han, Ying
Feng, Ye
Xia, Lucy
Hsu, Chris
Sheng, Xin
Pooler, Loreall C.
Patel, Yesha
Kolonel, Laurence N.
Carter, Erin
Park, Karen
Le Marchand, Loic
Van Den Berg, David
Henderson, Brian E.
Stram, Daniel O.
Genome-Wide Testing of Putative Functional Exonic Variants in Relationship with Breast and Prostate Cancer Risk in a Multiethnic Population
title Genome-Wide Testing of Putative Functional Exonic Variants in Relationship with Breast and Prostate Cancer Risk in a Multiethnic Population
title_full Genome-Wide Testing of Putative Functional Exonic Variants in Relationship with Breast and Prostate Cancer Risk in a Multiethnic Population
title_fullStr Genome-Wide Testing of Putative Functional Exonic Variants in Relationship with Breast and Prostate Cancer Risk in a Multiethnic Population
title_full_unstemmed Genome-Wide Testing of Putative Functional Exonic Variants in Relationship with Breast and Prostate Cancer Risk in a Multiethnic Population
title_short Genome-Wide Testing of Putative Functional Exonic Variants in Relationship with Breast and Prostate Cancer Risk in a Multiethnic Population
title_sort genome-wide testing of putative functional exonic variants in relationship with breast and prostate cancer risk in a multiethnic population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3610631/
https://www.ncbi.nlm.nih.gov/pubmed/23555315
http://dx.doi.org/10.1371/journal.pgen.1003419
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