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A Genome-Wide Scan for Breast Cancer Risk Haplotypes among African American Women

Genome-wide association studies (GWAS) simultaneously investigating hundreds of thousands of single nucleotide polymorphisms (SNP) have become a powerful tool in the investigation of new disease susceptibility loci. Haplotypes are sometimes thought to be superior to SNPs and are promising in genetic...

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Autores principales: Song, Chi, Chen, Gary K., Millikan, Robert C., Ambrosone, Christine B., John, Esther M., Bernstein, Leslie, Zheng, Wei, Hu, Jennifer J., Ziegler, Regina G., Nyante, Sarah, Bandera, Elisa V., Ingles, Sue A., Press, Michael F., Deming, Sandra L., Rodriguez-Gil, Jorge L., Chanock, Stephen J., Wan, Peggy, Sheng, Xin, Pooler, Loreall C., Van Den Berg, David J., Le Marchand, Loic, Kolonel, Laurence N., Henderson, Brian E., Haiman, Chris A., 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/PMC3585353/
https://www.ncbi.nlm.nih.gov/pubmed/23468962
http://dx.doi.org/10.1371/journal.pone.0057298
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author Song, Chi
Chen, Gary K.
Millikan, Robert C.
Ambrosone, Christine B.
John, Esther M.
Bernstein, Leslie
Zheng, Wei
Hu, Jennifer J.
Ziegler, Regina G.
Nyante, Sarah
Bandera, Elisa V.
Ingles, Sue A.
Press, Michael F.
Deming, Sandra L.
Rodriguez-Gil, Jorge L.
Chanock, Stephen J.
Wan, Peggy
Sheng, Xin
Pooler, Loreall C.
Van Den Berg, David J.
Le Marchand, Loic
Kolonel, Laurence N.
Henderson, Brian E.
Haiman, Chris A.
Stram, Daniel O.
author_facet Song, Chi
Chen, Gary K.
Millikan, Robert C.
Ambrosone, Christine B.
John, Esther M.
Bernstein, Leslie
Zheng, Wei
Hu, Jennifer J.
Ziegler, Regina G.
Nyante, Sarah
Bandera, Elisa V.
Ingles, Sue A.
Press, Michael F.
Deming, Sandra L.
Rodriguez-Gil, Jorge L.
Chanock, Stephen J.
Wan, Peggy
Sheng, Xin
Pooler, Loreall C.
Van Den Berg, David J.
Le Marchand, Loic
Kolonel, Laurence N.
Henderson, Brian E.
Haiman, Chris A.
Stram, Daniel O.
author_sort Song, Chi
collection PubMed
description Genome-wide association studies (GWAS) simultaneously investigating hundreds of thousands of single nucleotide polymorphisms (SNP) have become a powerful tool in the investigation of new disease susceptibility loci. Haplotypes are sometimes thought to be superior to SNPs and are promising in genetic association analyses. The application of genome-wide haplotype analysis, however, is hindered by the complexity of haplotypes themselves and sophistication in computation. We systematically analyzed the haplotype effects for breast cancer risk among 5,761 African American women (3,016 cases and 2,745 controls) using a sliding window approach on the genome-wide scale. Three regions on chromosomes 1, 4 and 18 exhibited moderate haplotype effects. Furthermore, among 21 breast cancer susceptibility loci previously established in European populations, 10p15 and 14q24 are likely to harbor novel haplotype effects. We also proposed a heuristic of determining the significance level and the effective number of independent tests by the permutation analysis on chromosome 22 data. It suggests that the effective number was approximately half of the total (7,794 out of 15,645), thus the half number could serve as a quick reference to evaluating genome-wide significance if a similar sliding window approach of haplotype analysis is adopted in similar populations using similar genotype density.
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spelling pubmed-35853532013-03-06 A Genome-Wide Scan for Breast Cancer Risk Haplotypes among African American Women Song, Chi Chen, Gary K. Millikan, Robert C. Ambrosone, Christine B. John, Esther M. Bernstein, Leslie Zheng, Wei Hu, Jennifer J. Ziegler, Regina G. Nyante, Sarah Bandera, Elisa V. Ingles, Sue A. Press, Michael F. Deming, Sandra L. Rodriguez-Gil, Jorge L. Chanock, Stephen J. Wan, Peggy Sheng, Xin Pooler, Loreall C. Van Den Berg, David J. Le Marchand, Loic Kolonel, Laurence N. Henderson, Brian E. Haiman, Chris A. Stram, Daniel O. PLoS One Research Article Genome-wide association studies (GWAS) simultaneously investigating hundreds of thousands of single nucleotide polymorphisms (SNP) have become a powerful tool in the investigation of new disease susceptibility loci. Haplotypes are sometimes thought to be superior to SNPs and are promising in genetic association analyses. The application of genome-wide haplotype analysis, however, is hindered by the complexity of haplotypes themselves and sophistication in computation. We systematically analyzed the haplotype effects for breast cancer risk among 5,761 African American women (3,016 cases and 2,745 controls) using a sliding window approach on the genome-wide scale. Three regions on chromosomes 1, 4 and 18 exhibited moderate haplotype effects. Furthermore, among 21 breast cancer susceptibility loci previously established in European populations, 10p15 and 14q24 are likely to harbor novel haplotype effects. We also proposed a heuristic of determining the significance level and the effective number of independent tests by the permutation analysis on chromosome 22 data. It suggests that the effective number was approximately half of the total (7,794 out of 15,645), thus the half number could serve as a quick reference to evaluating genome-wide significance if a similar sliding window approach of haplotype analysis is adopted in similar populations using similar genotype density. Public Library of Science 2013-02-28 /pmc/articles/PMC3585353/ /pubmed/23468962 http://dx.doi.org/10.1371/journal.pone.0057298 Text en © 2013 Song 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
Song, Chi
Chen, Gary K.
Millikan, Robert C.
Ambrosone, Christine B.
John, Esther M.
Bernstein, Leslie
Zheng, Wei
Hu, Jennifer J.
Ziegler, Regina G.
Nyante, Sarah
Bandera, Elisa V.
Ingles, Sue A.
Press, Michael F.
Deming, Sandra L.
Rodriguez-Gil, Jorge L.
Chanock, Stephen J.
Wan, Peggy
Sheng, Xin
Pooler, Loreall C.
Van Den Berg, David J.
Le Marchand, Loic
Kolonel, Laurence N.
Henderson, Brian E.
Haiman, Chris A.
Stram, Daniel O.
A Genome-Wide Scan for Breast Cancer Risk Haplotypes among African American Women
title A Genome-Wide Scan for Breast Cancer Risk Haplotypes among African American Women
title_full A Genome-Wide Scan for Breast Cancer Risk Haplotypes among African American Women
title_fullStr A Genome-Wide Scan for Breast Cancer Risk Haplotypes among African American Women
title_full_unstemmed A Genome-Wide Scan for Breast Cancer Risk Haplotypes among African American Women
title_short A Genome-Wide Scan for Breast Cancer Risk Haplotypes among African American Women
title_sort genome-wide scan for breast cancer risk haplotypes among african american women
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585353/
https://www.ncbi.nlm.nih.gov/pubmed/23468962
http://dx.doi.org/10.1371/journal.pone.0057298
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