Abstract

BackgroundSurveying deleterious variation in human populations is crucial for our understanding, diagnosis and potential treatment of human genetic pathologies. A number of recent genome-wide analyses focused on the prevalence of segregating deleterious alleles in the nuclear genome. However, such studies have not been conducted for the mitochondrial genome.ResultsWe present a systematic survey of polymorphisms in the human mitochondrial genome, including those predicted to be deleterious and those that correspond to known pathogenic mutations. Analyzing 4458 completely sequenced mitochondrial genomes we characterize the genetic diversity of different types of single nucleotide polymorphisms (SNPs) in African (L haplotypes) and non-African (M and N haplotypes) populations. We find that the overall level of polymorphism is higher in the mitochondrial compared to the nuclear genome, although the mitochondrial genome appears to be under stronger selection as indicated by proportionally fewer nonsynonymous than synonymous substitutions. The African mitochondrial genomes show higher heterozygosity, a greater number of polymorphic sites and higher frequencies of polymorphisms for synonymous, benign and damaging polymorphism than non-African genomes. However, African genomes carry significantly fewer SNPs that have been previously characterized as pathogenic compared to non-African genomes.ConclusionsFinding SNPs classified as pathogenic to be the only category of polymorphisms that are more abundant in non-African genomes is best explained by a systematic ascertainment bias that favours the discovery of pathogenic polymorphisms segregating in non-African populations. This further suggests that, contrary to the common disease-common variant hypothesis, pathogenic mutations are largely population-specific and different SNPs may be associated with the same disease in different populations. Therefore, to obtain a comprehensive picture of the deleterious variability in the human population, as well as to improve the diagnostics of individuals carrying African mitochondrial haplotypes, it is necessary to survey different populations independently.ReviewersThis article was reviewed by Dr Mikhail Gelfand, Dr Vasily Ramensky (nominated by Dr Eugene Koonin) and Dr David Rand (nominated by Dr Laurence Hurst).

Highlights

  • Surveying deleterious variation in human populations is crucial for our understanding, diagnosis and potential treatment of human genetic pathologies

  • Since a majority of genome-wide association studies (GWAS) are performed within specific human populations [11,18,19] it is currently unclear if the disease variants identified by a study as major contributors to a specific disease in one population contribute to the same pathology in a different population

  • The mitochondrial genome contributes to dozens of genetic pathologies [8,20], second, it has not been subject to a genome-wide survey of segregating deleterious polymorphism and third, the diversity of available completely sequenced mitochondrial genomes allowed us to consider genomes from different populations independently

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Summary

Introduction

Surveying deleterious variation in human populations is crucial for our understanding, diagnosis and potential treatment of human genetic pathologies. A number of recent genome-wide analyses focused on the prevalence of segregating deleterious alleles in the nuclear genome. Such studies have not been conducted for the mitochondrial genome. If common diseases are caused by common variants the polymorphisms implicated by GWAS are likely to contribute to disease in the sample from the study and in a relatively large fraction of individuals with the disease phenotype in the entire human population. The mitochondrial genome contributes to dozens of genetic pathologies [8,20], second, it has not been subject to a genome-wide survey of segregating deleterious polymorphism and third, the diversity of available completely sequenced mitochondrial genomes allowed us to consider genomes from different populations independently

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