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Genetic Variation and Reproductive Timing: African American Women from the Population Architecture Using Genomics and Epidemiology (PAGE) Study
Age at menarche (AM) and age at natural menopause (ANM) define the boundaries of the reproductive lifespan in women. Their timing is associated with various diseases, including cancer and cardiovascular disease. Genome-wide association studies have identified several genetic variants associated with...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3570525/ https://www.ncbi.nlm.nih.gov/pubmed/23424626 http://dx.doi.org/10.1371/journal.pone.0055258 |
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author | Spencer, Kylee L. Malinowski, Jennifer Carty, Cara L. Franceschini, Nora Fernández-Rhodes, Lindsay Young, Alicia Cheng, Iona Ritchie, Marylyn D. Haiman, Christopher A. Wilkens, Lynne ChunyuanWu, Matise, Tara C. Carlson, Christopher S. Brennan, Kathleen Park, Amy Rajkovic, Aleksandar Hindorff, Lucia A. Buyske, Steven Crawford, Dana C. |
author_facet | Spencer, Kylee L. Malinowski, Jennifer Carty, Cara L. Franceschini, Nora Fernández-Rhodes, Lindsay Young, Alicia Cheng, Iona Ritchie, Marylyn D. Haiman, Christopher A. Wilkens, Lynne ChunyuanWu, Matise, Tara C. Carlson, Christopher S. Brennan, Kathleen Park, Amy Rajkovic, Aleksandar Hindorff, Lucia A. Buyske, Steven Crawford, Dana C. |
author_sort | Spencer, Kylee L. |
collection | PubMed |
description | Age at menarche (AM) and age at natural menopause (ANM) define the boundaries of the reproductive lifespan in women. Their timing is associated with various diseases, including cancer and cardiovascular disease. Genome-wide association studies have identified several genetic variants associated with either AM or ANM in populations of largely European or Asian descent women. The extent to which these associations generalize to diverse populations remains unknown. Therefore, we sought to replicate previously reported AM and ANM findings and to identify novel AM and ANM variants using the Metabochip (n = 161,098 SNPs) in 4,159 and 1,860 African American women, respectively, in the Women’s Health Initiative (WHI) and Atherosclerosis Risk in Communities (ARIC) studies, as part of the Population Architecture using Genomics and Epidemiology (PAGE) Study. We replicated or generalized one previously identified variant for AM, rs1361108/CENPW, and two variants for ANM, rs897798/BRSK1 and rs769450/APOE, to our African American cohort. Overall, generalization of the majority of previously-identified variants for AM and ANM, including LIN28B and MCM8, was not observed in this African American sample. We identified three novel loci associated with ANM that reached significance after multiple testing correction (LDLR rs189596789, p = 5×10(−08); KCNQ1 rs79972789, p = 1.9×10(−07); COL4A3BP rs181686584, p = 2.9×10(−07)). Our most significant AM association was upstream of RSF1, a gene implicated in ovarian and breast cancers (rs11604207, p = 1.6×10(−06)). While most associations were identified in either AM or ANM, we did identify genes suggestively associated with both: PHACTR1 and ARHGAP42. The lack of generalization coupled with the potentially novel associations identified here emphasize the need for additional genetic discovery efforts for AM and ANM in diverse populations. |
format | Online Article Text |
id | pubmed-3570525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35705252013-02-19 Genetic Variation and Reproductive Timing: African American Women from the Population Architecture Using Genomics and Epidemiology (PAGE) Study Spencer, Kylee L. Malinowski, Jennifer Carty, Cara L. Franceschini, Nora Fernández-Rhodes, Lindsay Young, Alicia Cheng, Iona Ritchie, Marylyn D. Haiman, Christopher A. Wilkens, Lynne ChunyuanWu, Matise, Tara C. Carlson, Christopher S. Brennan, Kathleen Park, Amy Rajkovic, Aleksandar Hindorff, Lucia A. Buyske, Steven Crawford, Dana C. PLoS One Research Article Age at menarche (AM) and age at natural menopause (ANM) define the boundaries of the reproductive lifespan in women. Their timing is associated with various diseases, including cancer and cardiovascular disease. Genome-wide association studies have identified several genetic variants associated with either AM or ANM in populations of largely European or Asian descent women. The extent to which these associations generalize to diverse populations remains unknown. Therefore, we sought to replicate previously reported AM and ANM findings and to identify novel AM and ANM variants using the Metabochip (n = 161,098 SNPs) in 4,159 and 1,860 African American women, respectively, in the Women’s Health Initiative (WHI) and Atherosclerosis Risk in Communities (ARIC) studies, as part of the Population Architecture using Genomics and Epidemiology (PAGE) Study. We replicated or generalized one previously identified variant for AM, rs1361108/CENPW, and two variants for ANM, rs897798/BRSK1 and rs769450/APOE, to our African American cohort. Overall, generalization of the majority of previously-identified variants for AM and ANM, including LIN28B and MCM8, was not observed in this African American sample. We identified three novel loci associated with ANM that reached significance after multiple testing correction (LDLR rs189596789, p = 5×10(−08); KCNQ1 rs79972789, p = 1.9×10(−07); COL4A3BP rs181686584, p = 2.9×10(−07)). Our most significant AM association was upstream of RSF1, a gene implicated in ovarian and breast cancers (rs11604207, p = 1.6×10(−06)). While most associations were identified in either AM or ANM, we did identify genes suggestively associated with both: PHACTR1 and ARHGAP42. The lack of generalization coupled with the potentially novel associations identified here emphasize the need for additional genetic discovery efforts for AM and ANM in diverse populations. Public Library of Science 2013-02-12 /pmc/articles/PMC3570525/ /pubmed/23424626 http://dx.doi.org/10.1371/journal.pone.0055258 Text en © 2013 Spencer 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 Spencer, Kylee L. Malinowski, Jennifer Carty, Cara L. Franceschini, Nora Fernández-Rhodes, Lindsay Young, Alicia Cheng, Iona Ritchie, Marylyn D. Haiman, Christopher A. Wilkens, Lynne ChunyuanWu, Matise, Tara C. Carlson, Christopher S. Brennan, Kathleen Park, Amy Rajkovic, Aleksandar Hindorff, Lucia A. Buyske, Steven Crawford, Dana C. Genetic Variation and Reproductive Timing: African American Women from the Population Architecture Using Genomics and Epidemiology (PAGE) Study |
title | Genetic Variation and Reproductive Timing: African American Women from the Population Architecture Using Genomics and Epidemiology (PAGE) Study |
title_full | Genetic Variation and Reproductive Timing: African American Women from the Population Architecture Using Genomics and Epidemiology (PAGE) Study |
title_fullStr | Genetic Variation and Reproductive Timing: African American Women from the Population Architecture Using Genomics and Epidemiology (PAGE) Study |
title_full_unstemmed | Genetic Variation and Reproductive Timing: African American Women from the Population Architecture Using Genomics and Epidemiology (PAGE) Study |
title_short | Genetic Variation and Reproductive Timing: African American Women from the Population Architecture Using Genomics and Epidemiology (PAGE) Study |
title_sort | genetic variation and reproductive timing: african american women from the population architecture using genomics and epidemiology (page) study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3570525/ https://www.ncbi.nlm.nih.gov/pubmed/23424626 http://dx.doi.org/10.1371/journal.pone.0055258 |
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