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Assessing Mitochondrial DNA Variation and Copy Number in Lymphocytes of ~2,000 Sardinians Using Tailored Sequencing Analysis Tools
DNA sequencing identifies common and rare genetic variants for association studies, but studies typically focus on variants in nuclear DNA and ignore the mitochondrial genome. In fact, analyzing variants in mitochondrial DNA (mtDNA) sequences presents special problems, which we resolve here with a g...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501845/ https://www.ncbi.nlm.nih.gov/pubmed/26172475 http://dx.doi.org/10.1371/journal.pgen.1005306 |
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author | Ding, Jun Sidore, Carlo Butler, Thomas J. Wing, Mary Kate Qian, Yong Meirelles, Osorio Busonero, Fabio Tsoi, Lam C. Maschio, Andrea Angius, Andrea Kang, Hyun Min Nagaraja, Ramaiah Cucca, Francesco Abecasis, Gonçalo R. Schlessinger, David |
author_facet | Ding, Jun Sidore, Carlo Butler, Thomas J. Wing, Mary Kate Qian, Yong Meirelles, Osorio Busonero, Fabio Tsoi, Lam C. Maschio, Andrea Angius, Andrea Kang, Hyun Min Nagaraja, Ramaiah Cucca, Francesco Abecasis, Gonçalo R. Schlessinger, David |
author_sort | Ding, Jun |
collection | PubMed |
description | DNA sequencing identifies common and rare genetic variants for association studies, but studies typically focus on variants in nuclear DNA and ignore the mitochondrial genome. In fact, analyzing variants in mitochondrial DNA (mtDNA) sequences presents special problems, which we resolve here with a general solution for the analysis of mtDNA in next-generation sequencing studies. The new program package comprises 1) an algorithm designed to identify mtDNA variants (i.e., homoplasmies and heteroplasmies), incorporating sequencing error rates at each base in a likelihood calculation and allowing allele fractions at a variant site to differ across individuals; and 2) an estimation of mtDNA copy number in a cell directly from whole-genome sequencing data. We also apply the methods to DNA sequence from lymphocytes of ~2,000 SardiNIA Project participants. As expected, mothers and offspring share all homoplasmies but a lesser proportion of heteroplasmies. Both homoplasmies and heteroplasmies show 5-fold higher transition/transversion ratios than variants in nuclear DNA. Also, heteroplasmy increases with age, though on average only ~1 heteroplasmy reaches the 4% level between ages 20 and 90. In addition, we find that mtDNA copy number averages ~110 copies/lymphocyte and is ~54% heritable, implying substantial genetic regulation of the level of mtDNA. Copy numbers also decrease modestly but significantly with age, and females on average have significantly more copies than males. The mtDNA copy numbers are significantly associated with waist circumference (p-value = 0.0031) and waist-hip ratio (p-value = 2.4×10(-5)), but not with body mass index, indicating an association with central fat distribution. To our knowledge, this is the largest population analysis to date of mtDNA dynamics, revealing the age-imposed increase in heteroplasmy, the relatively high heritability of copy number, and the association of copy number with metabolic traits. |
format | Online Article Text |
id | pubmed-4501845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45018452015-07-17 Assessing Mitochondrial DNA Variation and Copy Number in Lymphocytes of ~2,000 Sardinians Using Tailored Sequencing Analysis Tools Ding, Jun Sidore, Carlo Butler, Thomas J. Wing, Mary Kate Qian, Yong Meirelles, Osorio Busonero, Fabio Tsoi, Lam C. Maschio, Andrea Angius, Andrea Kang, Hyun Min Nagaraja, Ramaiah Cucca, Francesco Abecasis, Gonçalo R. Schlessinger, David PLoS Genet Research Article DNA sequencing identifies common and rare genetic variants for association studies, but studies typically focus on variants in nuclear DNA and ignore the mitochondrial genome. In fact, analyzing variants in mitochondrial DNA (mtDNA) sequences presents special problems, which we resolve here with a general solution for the analysis of mtDNA in next-generation sequencing studies. The new program package comprises 1) an algorithm designed to identify mtDNA variants (i.e., homoplasmies and heteroplasmies), incorporating sequencing error rates at each base in a likelihood calculation and allowing allele fractions at a variant site to differ across individuals; and 2) an estimation of mtDNA copy number in a cell directly from whole-genome sequencing data. We also apply the methods to DNA sequence from lymphocytes of ~2,000 SardiNIA Project participants. As expected, mothers and offspring share all homoplasmies but a lesser proportion of heteroplasmies. Both homoplasmies and heteroplasmies show 5-fold higher transition/transversion ratios than variants in nuclear DNA. Also, heteroplasmy increases with age, though on average only ~1 heteroplasmy reaches the 4% level between ages 20 and 90. In addition, we find that mtDNA copy number averages ~110 copies/lymphocyte and is ~54% heritable, implying substantial genetic regulation of the level of mtDNA. Copy numbers also decrease modestly but significantly with age, and females on average have significantly more copies than males. The mtDNA copy numbers are significantly associated with waist circumference (p-value = 0.0031) and waist-hip ratio (p-value = 2.4×10(-5)), but not with body mass index, indicating an association with central fat distribution. To our knowledge, this is the largest population analysis to date of mtDNA dynamics, revealing the age-imposed increase in heteroplasmy, the relatively high heritability of copy number, and the association of copy number with metabolic traits. Public Library of Science 2015-07-14 /pmc/articles/PMC4501845/ /pubmed/26172475 http://dx.doi.org/10.1371/journal.pgen.1005306 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Ding, Jun Sidore, Carlo Butler, Thomas J. Wing, Mary Kate Qian, Yong Meirelles, Osorio Busonero, Fabio Tsoi, Lam C. Maschio, Andrea Angius, Andrea Kang, Hyun Min Nagaraja, Ramaiah Cucca, Francesco Abecasis, Gonçalo R. Schlessinger, David Assessing Mitochondrial DNA Variation and Copy Number in Lymphocytes of ~2,000 Sardinians Using Tailored Sequencing Analysis Tools |
title | Assessing Mitochondrial DNA Variation and Copy Number in Lymphocytes of ~2,000 Sardinians Using Tailored Sequencing Analysis Tools |
title_full | Assessing Mitochondrial DNA Variation and Copy Number in Lymphocytes of ~2,000 Sardinians Using Tailored Sequencing Analysis Tools |
title_fullStr | Assessing Mitochondrial DNA Variation and Copy Number in Lymphocytes of ~2,000 Sardinians Using Tailored Sequencing Analysis Tools |
title_full_unstemmed | Assessing Mitochondrial DNA Variation and Copy Number in Lymphocytes of ~2,000 Sardinians Using Tailored Sequencing Analysis Tools |
title_short | Assessing Mitochondrial DNA Variation and Copy Number in Lymphocytes of ~2,000 Sardinians Using Tailored Sequencing Analysis Tools |
title_sort | assessing mitochondrial dna variation and copy number in lymphocytes of ~2,000 sardinians using tailored sequencing analysis tools |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501845/ https://www.ncbi.nlm.nih.gov/pubmed/26172475 http://dx.doi.org/10.1371/journal.pgen.1005306 |
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