4.6 Article

Mitochondrial DNA Haplogroup D4a Is a Marker for Extreme Longevity in Japan

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PLOS ONE
卷 3, 期 6, 页码 -

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PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0002421

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资金

  1. Ministry of Education, Culture, Sports, Science, and Technology of Japan [A-15200051, C-18590317, B-18700541]
  2. Third-Term Comprehensive 10-year Strategy for Cancer Control
  3. Nervous and Mental Disorders of the Ministry of Health, Labour, and Welfare of Japan [17A-10]
  4. Kao Research Council for the Study of Healthcare Science
  5. Takeda Science Foundation [I-2007, II-2007]
  6. Longevity Science of Ministry of Health, Labour, and Welfare of Japan
  7. Cancer Institute of New Jersey
  8. NJ Commission for Cancer Research
  9. Center for Clinical and Translational Sciences at the Robert Wood Johnson Medical School, New Brunswick, NJ
  10. Simons Foundation
  11. Ambrose Monell Foundation
  12. Leon Levy Foundation
  13. National Institutes of Health
  14. Grants-in-Aid for Scientific Research [15200051, 18590317, 18700541] Funding Source: KAKEN

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We report results from the analysis of complete mitochondrial DNA (mtDNA) sequences from 112 Japanese semi-supercentenarians (aged above 105 years) combined with previously published data from 96 patients in each of three nondisease phenotypes: centenarians (99-105 years of age), healthy non-obese males, obese young males and four disease phenotypes, diabetics with and without angiopathy, and Alzheimer's and Parkinson's disease patients. We analyze the correlation between mitochondrial polymorphisms and the longevity phenotype using two different methods. We first use an exhaustive algorithm to identify all maximal patterns of polymorphisms shared by at least five individuals and define a significance score for enrichment of the patterns in each phenotype relative to healthy normals. Our study confirms the correlations observed in a previous study showing enrichment of a hierarchy of haplogroups in the D clade for longevity. For the extreme longevity phenotype we see a single statistically significant signal: a progressive enrichment of certain beneficial'' patterns in centenarians and semi-supercentenarians in the D4a haplogroup. We then use Principal Component Spectral Analysis of the SNP-SNP Covariance Matrix to compare the measured eigenvalues to a Null distribution of eigenvalues on Gaussian datasets to determine whether the correlations in the data (due to longevity) arises from some property of the mutations themselves or whether they are due to population structure. The conclusion is that the correlations are entirely due to population structure (phylogenetic tree). We find no signal for a functional mtDNA SNP correlated with longevity. The fact that the correlations are from the population structure suggests that hitch-hiking on autosomal events is a possible explanation for the observed correlations.

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