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Genetic Associations with Gestational Length and Spontaneous Preterm Birth
BACKGROUND: Despite evidence that genetic factors contribute to gestational length and preterm birth, robust associations with genetic variants have not been identified. We hypothesized that analyzing larger data sets with gestational length information by genomewide association would reveal trait-i...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Massachusetts Medical Society
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561422/ https://www.ncbi.nlm.nih.gov/pubmed/28877031 http://dx.doi.org/10.1056/NEJMoa1612665 |
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author | Zhang, Ge Feenstra, Bjarke Bacelis, Jonas Liu, Xueping Muglia, Lisa M. Juodakis, Julius Miller, Daniel E. Litterman, Nadia Jiang, Pan-Pan Russell, Laura Hinds, David A. Hu, Youna Weirauch, Matthew T. Chen, Xiaoting Chavan, Arun R. Wagner, Günter P. Pavličev, Mihaela Nnamani, Mauris C. Maziarz, Jamie Karjalainen, Minna K. Rämet, Mika Sengpiel, Verena Geller, D Frank Boyd, Heather A. Palotie, Aarno Momany, Allison Bedell, Bruce Ryckman, Kelli K. Huusko, Johanna M. Forney, Carmy R. Kottyan, Leah C. Hallman, Mikko Teramo, Kari Nohr, Ellen A. Davey-Smith, George Melbye, Mads Jacobsson, Bo Muglia, Louis J. |
author_facet | Zhang, Ge Feenstra, Bjarke Bacelis, Jonas Liu, Xueping Muglia, Lisa M. Juodakis, Julius Miller, Daniel E. Litterman, Nadia Jiang, Pan-Pan Russell, Laura Hinds, David A. Hu, Youna Weirauch, Matthew T. Chen, Xiaoting Chavan, Arun R. Wagner, Günter P. Pavličev, Mihaela Nnamani, Mauris C. Maziarz, Jamie Karjalainen, Minna K. Rämet, Mika Sengpiel, Verena Geller, D Frank Boyd, Heather A. Palotie, Aarno Momany, Allison Bedell, Bruce Ryckman, Kelli K. Huusko, Johanna M. Forney, Carmy R. Kottyan, Leah C. Hallman, Mikko Teramo, Kari Nohr, Ellen A. Davey-Smith, George Melbye, Mads Jacobsson, Bo Muglia, Louis J. |
author_sort | Zhang, Ge |
collection | PubMed |
description | BACKGROUND: Despite evidence that genetic factors contribute to gestational length and preterm birth, robust associations with genetic variants have not been identified. We hypothesized that analyzing larger data sets with gestational length information by genomewide association would reveal trait-influencing variants. METHODS: We performed a genomewide association study in a discovery data set of 43,568 women of European ancestry from 23andMe, Inc., for gestational length as a continuous trait and for term or preterm (<37 weeks) birth as a dichotomous outcome. We used three Nordic data sets (8,643 women) for replication of 14 genomic loci achieving either genomewide (P < 5×10(-8)) or suggestive association (P < 1×10(-6)). RESULTS: In the discovery stage, for gestational length, four loci (EBF1, EEFSEC, AGTR2 and WNT4) achieved genomewide significance, all of which were replicated in the Nordic data sets. Functional analysis of the WNT4 locus indicated the likely causative variant alters the binding of ESR1. ADCY5 and RAP2C, which had suggestive significance in the discovery stage, were significantly replicated and achieved genomewide significance in joint analysis. Common variants in EBF1, EEFSEC and AGTR2 were also associated with preterm birth with genomewide significance. Analysis of mother-infant dyads indicated that these findings likely resulted from maternal genome actions. CONCLUSIONS: Our study is the first to identify maternal genetic variants robustly associated with gestational length and preterm birth. Roles of these loci in uterine development, maternal nutrition, and vascular control support their mechanistic involvement and create opportunities to investigate new risk factors for prevention of preterm birth. |
format | Online Article Text |
id | pubmed-5561422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Massachusetts Medical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-55614222017-09-07 Genetic Associations with Gestational Length and Spontaneous Preterm Birth Zhang, Ge Feenstra, Bjarke Bacelis, Jonas Liu, Xueping Muglia, Lisa M. Juodakis, Julius Miller, Daniel E. Litterman, Nadia Jiang, Pan-Pan Russell, Laura Hinds, David A. Hu, Youna Weirauch, Matthew T. Chen, Xiaoting Chavan, Arun R. Wagner, Günter P. Pavličev, Mihaela Nnamani, Mauris C. Maziarz, Jamie Karjalainen, Minna K. Rämet, Mika Sengpiel, Verena Geller, D Frank Boyd, Heather A. Palotie, Aarno Momany, Allison Bedell, Bruce Ryckman, Kelli K. Huusko, Johanna M. Forney, Carmy R. Kottyan, Leah C. Hallman, Mikko Teramo, Kari Nohr, Ellen A. Davey-Smith, George Melbye, Mads Jacobsson, Bo Muglia, Louis J. N Engl J Med Research Article BACKGROUND: Despite evidence that genetic factors contribute to gestational length and preterm birth, robust associations with genetic variants have not been identified. We hypothesized that analyzing larger data sets with gestational length information by genomewide association would reveal trait-influencing variants. METHODS: We performed a genomewide association study in a discovery data set of 43,568 women of European ancestry from 23andMe, Inc., for gestational length as a continuous trait and for term or preterm (<37 weeks) birth as a dichotomous outcome. We used three Nordic data sets (8,643 women) for replication of 14 genomic loci achieving either genomewide (P < 5×10(-8)) or suggestive association (P < 1×10(-6)). RESULTS: In the discovery stage, for gestational length, four loci (EBF1, EEFSEC, AGTR2 and WNT4) achieved genomewide significance, all of which were replicated in the Nordic data sets. Functional analysis of the WNT4 locus indicated the likely causative variant alters the binding of ESR1. ADCY5 and RAP2C, which had suggestive significance in the discovery stage, were significantly replicated and achieved genomewide significance in joint analysis. Common variants in EBF1, EEFSEC and AGTR2 were also associated with preterm birth with genomewide significance. Analysis of mother-infant dyads indicated that these findings likely resulted from maternal genome actions. CONCLUSIONS: Our study is the first to identify maternal genetic variants robustly associated with gestational length and preterm birth. Roles of these loci in uterine development, maternal nutrition, and vascular control support their mechanistic involvement and create opportunities to investigate new risk factors for prevention of preterm birth. Massachusetts Medical Society 2017-09-06 /pmc/articles/PMC5561422/ /pubmed/28877031 http://dx.doi.org/10.1056/NEJMoa1612665 Text en Copyright © 2017 Massachusetts Medical Society. https://creativecommons.org/licenses/by/4.0/ This Author Final Manuscript is licensed for use under the CC BY license. |
spellingShingle | Research Article Zhang, Ge Feenstra, Bjarke Bacelis, Jonas Liu, Xueping Muglia, Lisa M. Juodakis, Julius Miller, Daniel E. Litterman, Nadia Jiang, Pan-Pan Russell, Laura Hinds, David A. Hu, Youna Weirauch, Matthew T. Chen, Xiaoting Chavan, Arun R. Wagner, Günter P. Pavličev, Mihaela Nnamani, Mauris C. Maziarz, Jamie Karjalainen, Minna K. Rämet, Mika Sengpiel, Verena Geller, D Frank Boyd, Heather A. Palotie, Aarno Momany, Allison Bedell, Bruce Ryckman, Kelli K. Huusko, Johanna M. Forney, Carmy R. Kottyan, Leah C. Hallman, Mikko Teramo, Kari Nohr, Ellen A. Davey-Smith, George Melbye, Mads Jacobsson, Bo Muglia, Louis J. Genetic Associations with Gestational Length and Spontaneous Preterm Birth |
title | Genetic Associations with Gestational Length and Spontaneous Preterm
Birth |
title_full | Genetic Associations with Gestational Length and Spontaneous Preterm
Birth |
title_fullStr | Genetic Associations with Gestational Length and Spontaneous Preterm
Birth |
title_full_unstemmed | Genetic Associations with Gestational Length and Spontaneous Preterm
Birth |
title_short | Genetic Associations with Gestational Length and Spontaneous Preterm
Birth |
title_sort | genetic associations with gestational length and spontaneous preterm
birth |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561422/ https://www.ncbi.nlm.nih.gov/pubmed/28877031 http://dx.doi.org/10.1056/NEJMoa1612665 |
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