Dynamics of the most common pathogenic mtDNA variant m.3243A > G demonstrate frequency-dependency in blood and positive selection in the germline

Author:

Franco Melissa1ORCID,Pickett Sarah J2ORCID,Fleischmann Zoe1,Khrapko Mark1,Cote-L’Heureux Auden1,Aidlen Dylan1,Stein David1ORCID,Markuzon Natasha3,Popadin Konstantin4567,Braverman Maxim8,Woods Dori C1ORCID,Tilly Jonathan L1,Turnbull Doug M2,Khrapko Konstantin1ORCID

Affiliation:

1. Department of Biology, Northeastern University , Boston, MA 02115, USA

2. Wellcome Centre for Mitochondrial Research and Institute for Translational and Clinical Research, Newcastle University and Newcastle Medical School , Newcastle-upon-Tyne NE2 4HH, UK

3. Draper Laboratories , Cambridge, MA 02139, USA

4. School of Life Sciences, École Polytechnique Fédérale de Lausanne , Lausanne 1015, Switzerland

5. Swiss Institute of Bioinformatics , Lausanne 1015, Switzerland

6. Center for Mitochondrial Functional Genomics , Institute of Living Systems, , Kaliningrad 236040, Russia

7. Immanuel Kant Baltic Federal University , Institute of Living Systems, , Kaliningrad 236040, Russia

8. Department of Mathematics, Northeastern University , Boston, MA 02115, USA

Abstract

Abstract The A-to-G point mutation at position 3243 in the human mitochondrial genome (m.3243A > G) is the most common pathogenic mtDNA variant responsible for disease in humans. It is widely accepted that m.3243A > G levels decrease in blood with age, and an age correction representing ~ 2% annual decline is often applied to account for this change in mutation level. Here we report that recent data indicate that the dynamics of m.3243A > G are more complex and depend on the mutation level in blood in a bi-phasic way. Consequently, the traditional 2% correction, which is adequate ‘on average’, creates opposite predictive biases at high and low mutation levels. Unbiased age correction is needed to circumvent these drawbacks of the standard model. We propose to eliminate both biases by using an approach where age correction depends on mutation level in a biphasic way to account for the dynamics of m.3243A > G in blood. The utility of this approach was further tested in estimating germline selection of m.3243A > G. The biphasic approach permitted us to uncover patterns consistent with the possibility of positive selection for m.3243A > G. Germline selection of m.3243A > G shows an ‘arching’ profile by which selection is positive at intermediate mutant fractions and declines at high and low mutant fractions. We conclude that use of this biphasic approach will greatly improve the accuracy of modelling changes in mtDNA mutation frequencies in the germline and in somatic cells during aging.

Funder

Wellcome Trust

Ministry of Science and Higher Education of the Russian Federation

U.S. National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology,General Medicine

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