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MtDNA meta-analysis reveals both phenotype specificity and allele heterogeneity: a model for differential association
Human mtDNA genetic variants have traditionally been considered markers for ancient population migrations. However, during the past three decades, these variants have been associated with altered susceptibility to various phenotypes, thus supporting their importance for human health. Nevertheless, m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5322532/ https://www.ncbi.nlm.nih.gov/pubmed/28230165 http://dx.doi.org/10.1038/srep43449 |
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author | Marom, Shani Friger, Michael Mishmar, Dan |
author_facet | Marom, Shani Friger, Michael Mishmar, Dan |
author_sort | Marom, Shani |
collection | PubMed |
description | Human mtDNA genetic variants have traditionally been considered markers for ancient population migrations. However, during the past three decades, these variants have been associated with altered susceptibility to various phenotypes, thus supporting their importance for human health. Nevertheless, mtDNA disease association has frequently been supported only in certain populations, due either to population stratification or differential epistatic compensations among populations. To partially overcome these obstacles, we performed meta-analysis of the multiple mtDNA association studies conducted until 2016, encompassing 53,975 patients and 63,323 controls. Our findings support the association of mtDNA haplogroups and recurrent variants with specific phenotypes such as Parkinson’s disease, type 2 diabetes, longevity, and breast cancer. Strikingly, our assessment of mtDNA variants’ involvement with multiple phenotypes revealed significant impact for Caucasian haplogroups H, J, and K. Therefore, ancient mtDNA variants could be divided into those that affect specific phenotypes, versus others with a general impact on phenotype combinations. We suggest that the mtDNA could serve as a model for phenotype specificity versus allele heterogeneity. |
format | Online Article Text |
id | pubmed-5322532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53225322017-03-01 MtDNA meta-analysis reveals both phenotype specificity and allele heterogeneity: a model for differential association Marom, Shani Friger, Michael Mishmar, Dan Sci Rep Article Human mtDNA genetic variants have traditionally been considered markers for ancient population migrations. However, during the past three decades, these variants have been associated with altered susceptibility to various phenotypes, thus supporting their importance for human health. Nevertheless, mtDNA disease association has frequently been supported only in certain populations, due either to population stratification or differential epistatic compensations among populations. To partially overcome these obstacles, we performed meta-analysis of the multiple mtDNA association studies conducted until 2016, encompassing 53,975 patients and 63,323 controls. Our findings support the association of mtDNA haplogroups and recurrent variants with specific phenotypes such as Parkinson’s disease, type 2 diabetes, longevity, and breast cancer. Strikingly, our assessment of mtDNA variants’ involvement with multiple phenotypes revealed significant impact for Caucasian haplogroups H, J, and K. Therefore, ancient mtDNA variants could be divided into those that affect specific phenotypes, versus others with a general impact on phenotype combinations. We suggest that the mtDNA could serve as a model for phenotype specificity versus allele heterogeneity. Nature Publishing Group 2017-02-23 /pmc/articles/PMC5322532/ /pubmed/28230165 http://dx.doi.org/10.1038/srep43449 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Marom, Shani Friger, Michael Mishmar, Dan MtDNA meta-analysis reveals both phenotype specificity and allele heterogeneity: a model for differential association |
title | MtDNA meta-analysis reveals both phenotype specificity and allele heterogeneity: a model for differential association |
title_full | MtDNA meta-analysis reveals both phenotype specificity and allele heterogeneity: a model for differential association |
title_fullStr | MtDNA meta-analysis reveals both phenotype specificity and allele heterogeneity: a model for differential association |
title_full_unstemmed | MtDNA meta-analysis reveals both phenotype specificity and allele heterogeneity: a model for differential association |
title_short | MtDNA meta-analysis reveals both phenotype specificity and allele heterogeneity: a model for differential association |
title_sort | mtdna meta-analysis reveals both phenotype specificity and allele heterogeneity: a model for differential association |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5322532/ https://www.ncbi.nlm.nih.gov/pubmed/28230165 http://dx.doi.org/10.1038/srep43449 |
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