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Evaluation of significant genome-wide association studies risk — SNPs in young breast cancer patients

PURPOSE: Genome-wide-association studies (GWAS) have identified numerous single nucleotide polymorphisms (SNPs) that are associated with an increased risk of breast cancer. Most of these studies were conducted primarily in postmenopausal breast cancer patients. Therefore, we set out to assess whethe...

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Autores principales: Rath, Michelle, Li, Qiyuan, Li, Huili, Lindström, Sara, Miron, Alexander, Miron, Penelope, Dowton, Anne E., Meyer, Meghan E., Larson, Bryce G., Pomerantz, Mark, Seo, Ji-Heui, Collins, Laura C., Vardeh, Hilde, Brachtel, Elena, Come, Steven E., Borges, Virginia, Schapira, Lidia, Tamimi, Rulla M., Partridge, Ann H., Freedman, Matthew, Ruddy, Kathryn J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6534300/
https://www.ncbi.nlm.nih.gov/pubmed/31125336
http://dx.doi.org/10.1371/journal.pone.0216997
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author Rath, Michelle
Li, Qiyuan
Li, Huili
Lindström, Sara
Miron, Alexander
Miron, Penelope
Dowton, Anne E.
Meyer, Meghan E.
Larson, Bryce G.
Pomerantz, Mark
Seo, Ji-Heui
Collins, Laura C.
Vardeh, Hilde
Brachtel, Elena
Come, Steven E.
Borges, Virginia
Schapira, Lidia
Tamimi, Rulla M.
Partridge, Ann H.
Freedman, Matthew
Ruddy, Kathryn J.
author_facet Rath, Michelle
Li, Qiyuan
Li, Huili
Lindström, Sara
Miron, Alexander
Miron, Penelope
Dowton, Anne E.
Meyer, Meghan E.
Larson, Bryce G.
Pomerantz, Mark
Seo, Ji-Heui
Collins, Laura C.
Vardeh, Hilde
Brachtel, Elena
Come, Steven E.
Borges, Virginia
Schapira, Lidia
Tamimi, Rulla M.
Partridge, Ann H.
Freedman, Matthew
Ruddy, Kathryn J.
author_sort Rath, Michelle
collection PubMed
description PURPOSE: Genome-wide-association studies (GWAS) have identified numerous single nucleotide polymorphisms (SNPs) that are associated with an increased risk of breast cancer. Most of these studies were conducted primarily in postmenopausal breast cancer patients. Therefore, we set out to assess whether or not these breast cancer variants are also associated with an elevated risk of breast cancer in young premenopausal patients. METHODS: In 451 women of European ancestry who had prospectively enrolled in a longitudinal cohort study for women diagnosed with breast cancer at or under age 40, we genotyped 44 SNPs that were previously associated with breast cancer risk. A control group was comprised of 1142 postmenopausal healthy women from the Nurses’ Health Study (NHS). We assessed if the frequencies of the adequately genotyped SNPs differed significantly (p≤0.05) between the cohort of young breast cancer patients and postmenopausal controls, and then we corrected for multiple testing. RESULTS: Genotyping of the controls or cases was inadequate for comparisons between the groups for seven of the 44 SNPs. 9 of the remaining 37 were associated with breast cancer risk in young women with a p-value <0.05: rs10510102, rs1219648, rs13387042, rs1876206, rs2936870, rs2981579, rs3734805, rs3803662 and rs4973768. The directions of these associations were consistent with those in postmenopausal women. However, after correction for multiple testing (Benjamini Hochberg) none of the results remained statistically significant. CONCLUSION: After correction for multiple testing, none of the alleles for postmenopausal breast cancer were clearly associated with risk of premenopausal breast cancer in this relatively small study.
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spelling pubmed-65343002019-06-05 Evaluation of significant genome-wide association studies risk — SNPs in young breast cancer patients Rath, Michelle Li, Qiyuan Li, Huili Lindström, Sara Miron, Alexander Miron, Penelope Dowton, Anne E. Meyer, Meghan E. Larson, Bryce G. Pomerantz, Mark Seo, Ji-Heui Collins, Laura C. Vardeh, Hilde Brachtel, Elena Come, Steven E. Borges, Virginia Schapira, Lidia Tamimi, Rulla M. Partridge, Ann H. Freedman, Matthew Ruddy, Kathryn J. PLoS One Research Article PURPOSE: Genome-wide-association studies (GWAS) have identified numerous single nucleotide polymorphisms (SNPs) that are associated with an increased risk of breast cancer. Most of these studies were conducted primarily in postmenopausal breast cancer patients. Therefore, we set out to assess whether or not these breast cancer variants are also associated with an elevated risk of breast cancer in young premenopausal patients. METHODS: In 451 women of European ancestry who had prospectively enrolled in a longitudinal cohort study for women diagnosed with breast cancer at or under age 40, we genotyped 44 SNPs that were previously associated with breast cancer risk. A control group was comprised of 1142 postmenopausal healthy women from the Nurses’ Health Study (NHS). We assessed if the frequencies of the adequately genotyped SNPs differed significantly (p≤0.05) between the cohort of young breast cancer patients and postmenopausal controls, and then we corrected for multiple testing. RESULTS: Genotyping of the controls or cases was inadequate for comparisons between the groups for seven of the 44 SNPs. 9 of the remaining 37 were associated with breast cancer risk in young women with a p-value <0.05: rs10510102, rs1219648, rs13387042, rs1876206, rs2936870, rs2981579, rs3734805, rs3803662 and rs4973768. The directions of these associations were consistent with those in postmenopausal women. However, after correction for multiple testing (Benjamini Hochberg) none of the results remained statistically significant. CONCLUSION: After correction for multiple testing, none of the alleles for postmenopausal breast cancer were clearly associated with risk of premenopausal breast cancer in this relatively small study. Public Library of Science 2019-05-24 /pmc/articles/PMC6534300/ /pubmed/31125336 http://dx.doi.org/10.1371/journal.pone.0216997 Text en © 2019 Rath 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rath, Michelle
Li, Qiyuan
Li, Huili
Lindström, Sara
Miron, Alexander
Miron, Penelope
Dowton, Anne E.
Meyer, Meghan E.
Larson, Bryce G.
Pomerantz, Mark
Seo, Ji-Heui
Collins, Laura C.
Vardeh, Hilde
Brachtel, Elena
Come, Steven E.
Borges, Virginia
Schapira, Lidia
Tamimi, Rulla M.
Partridge, Ann H.
Freedman, Matthew
Ruddy, Kathryn J.
Evaluation of significant genome-wide association studies risk — SNPs in young breast cancer patients
title Evaluation of significant genome-wide association studies risk — SNPs in young breast cancer patients
title_full Evaluation of significant genome-wide association studies risk — SNPs in young breast cancer patients
title_fullStr Evaluation of significant genome-wide association studies risk — SNPs in young breast cancer patients
title_full_unstemmed Evaluation of significant genome-wide association studies risk — SNPs in young breast cancer patients
title_short Evaluation of significant genome-wide association studies risk — SNPs in young breast cancer patients
title_sort evaluation of significant genome-wide association studies risk — snps in young breast cancer patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6534300/
https://www.ncbi.nlm.nih.gov/pubmed/31125336
http://dx.doi.org/10.1371/journal.pone.0216997
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