Cargando…
The future for genetic studies in reproduction
Genetic factors contribute to risk of many common diseases affecting reproduction and fertility. In recent years, methods for genome-wide association studies (GWAS) have revolutionized gene discovery for common traits and diseases. Results of GWAS are documented in the Catalog of Published Genome-Wi...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3867979/ https://www.ncbi.nlm.nih.gov/pubmed/23982303 http://dx.doi.org/10.1093/molehr/gat058 |
_version_ | 1782296389705793536 |
---|---|
author | Montgomery, G.W. Zondervan, K.T. Nyholt, D.R. |
author_facet | Montgomery, G.W. Zondervan, K.T. Nyholt, D.R. |
author_sort | Montgomery, G.W. |
collection | PubMed |
description | Genetic factors contribute to risk of many common diseases affecting reproduction and fertility. In recent years, methods for genome-wide association studies (GWAS) have revolutionized gene discovery for common traits and diseases. Results of GWAS are documented in the Catalog of Published Genome-Wide Association Studies at the National Human Genome Research Institute and report over 70 publications for 32 traits and diseases associated with reproduction. These include endometriosis, uterine fibroids, age at menarche and age at menopause. Results that pass appropriate stringent levels of significance are generally well replicated in independent studies. Examples of genetic variation affecting twinning rate, infertility, endometriosis and age at menarche demonstrate that the spectrum of disease-related variants for reproductive traits is similar to most other common diseases. GWAS ‘hits’ provide novel insights into biological pathways and the translational value of these studies lies in discovery of novel gene targets for biomarkers, drug development and greater understanding of environmental factors contributing to disease risk. Results also show that genetic data can help define sub-types of disease and co-morbidity with other traits and diseases. To date, many studies on reproductive traits have used relatively small samples. Future genetic marker studies in large samples with detailed phenotypic and clinical information will yield new insights into disease risk, disease classification and co-morbidity for many diseases associated with reproduction and infertility. |
format | Online Article Text |
id | pubmed-3867979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-38679792013-12-20 The future for genetic studies in reproduction Montgomery, G.W. Zondervan, K.T. Nyholt, D.R. Mol Hum Reprod New Research Horizon Reviews Genetic factors contribute to risk of many common diseases affecting reproduction and fertility. In recent years, methods for genome-wide association studies (GWAS) have revolutionized gene discovery for common traits and diseases. Results of GWAS are documented in the Catalog of Published Genome-Wide Association Studies at the National Human Genome Research Institute and report over 70 publications for 32 traits and diseases associated with reproduction. These include endometriosis, uterine fibroids, age at menarche and age at menopause. Results that pass appropriate stringent levels of significance are generally well replicated in independent studies. Examples of genetic variation affecting twinning rate, infertility, endometriosis and age at menarche demonstrate that the spectrum of disease-related variants for reproductive traits is similar to most other common diseases. GWAS ‘hits’ provide novel insights into biological pathways and the translational value of these studies lies in discovery of novel gene targets for biomarkers, drug development and greater understanding of environmental factors contributing to disease risk. Results also show that genetic data can help define sub-types of disease and co-morbidity with other traits and diseases. To date, many studies on reproductive traits have used relatively small samples. Future genetic marker studies in large samples with detailed phenotypic and clinical information will yield new insights into disease risk, disease classification and co-morbidity for many diseases associated with reproduction and infertility. Oxford University Press 2014-01 2013-08-26 /pmc/articles/PMC3867979/ /pubmed/23982303 http://dx.doi.org/10.1093/molehr/gat058 Text en © The Author 2013. Published by Oxford University Press on behalf of European Society of Human Reproduction and Embryology. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited |
spellingShingle | New Research Horizon Reviews Montgomery, G.W. Zondervan, K.T. Nyholt, D.R. The future for genetic studies in reproduction |
title | The future for genetic studies in reproduction |
title_full | The future for genetic studies in reproduction |
title_fullStr | The future for genetic studies in reproduction |
title_full_unstemmed | The future for genetic studies in reproduction |
title_short | The future for genetic studies in reproduction |
title_sort | future for genetic studies in reproduction |
topic | New Research Horizon Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3867979/ https://www.ncbi.nlm.nih.gov/pubmed/23982303 http://dx.doi.org/10.1093/molehr/gat058 |
work_keys_str_mv | AT montgomerygw thefutureforgeneticstudiesinreproduction AT zondervankt thefutureforgeneticstudiesinreproduction AT nyholtdr thefutureforgeneticstudiesinreproduction AT montgomerygw futureforgeneticstudiesinreproduction AT zondervankt futureforgeneticstudiesinreproduction AT nyholtdr futureforgeneticstudiesinreproduction |