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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
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.
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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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