Literature DB >> 36264923

Mitochondrial DNA population variation is not associated with Alzheimer's in the Japanese population: A consistent finding across global populations.

Johanna Wong1, Jannetta S Steyn2, Ilse S Pienaar3, Joanna L Elson1,4.   

Abstract

Several mitochondrial DNA (mtDNA) haplogroup association studies have suggested that common mtDNA variants are associated with multifactorial diseases, including Alzheimer's disease (AD). However, such studies have also produced conflicting results. A new mtDNA association model, the 'variant load model' (VLM), has been applied to multiple disease phenotypes. Application of the VLM in a 2017 study failed to find different variant loads in AD patients compared to controls, in two cohorts of European origin. The study also suggested a lower variant load in healthy elderly individuals, but could offer no replicate cohort to support this observation. Here, the VLM is applied to Japanese mtDNA sequences; in doing so, we explored the role of mtDNA variation in AD and ageing in a different global population. Consistent with the previous findings using the VLM in two populations of European origin, we found no evidence for an association between rarer, non-haplogroup associated variation and the development of AD. However, the result in the context of ageing that suggested those with fewer mildly deleterious mutations might undergo healthier ageing, was not replicated. In contrast to our previous study, our present results suggest that those living to advanced old age may harbour more mildly deleterious mtDNA variations. Importantly our analysis showed this finding is not primarily being driven by many rare population variants dispersed across the mtDNA, but by a few more frequent variants with high MutPred scores. It is suggested the variants in question do not exert a mildly deleterious effect in their most frequent haplogroup context.

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Year:  2022        PMID: 36264923      PMCID: PMC9584534          DOI: 10.1371/journal.pone.0276169

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


  24 in total

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Authors:  Masashi Tanaka; Vicente M Cabrera; Ana M González; José M Larruga; Takeshi Takeyasu; Noriyuki Fuku; Li-Jun Guo; Raita Hirose; Yasunori Fujita; Miyuki Kurata; Ken-ichi Shinoda; Kazuo Umetsu; Yoshiji Yamada; Yoshiharu Oshida; Yuzo Sato; Nobutaka Hattori; Yoshikuni Mizuno; Yasumichi Arai; Nobuyoshi Hirose; Shigeo Ohta; Osamu Ogawa; Yasushi Tanaka; Ryuzo Kawamori; Masayo Shamoto-Nagai; Wakako Maruyama; Hiroshi Shimokata; Ryota Suzuki; Hidetoshi Shimodaira
Journal:  Genome Res       Date:  2004-10       Impact factor: 9.043

2.  Mitochondrial DNA as a risk factor for false positives in case-control association studies.

Authors:  Antonio Salas; Joanna L Elson
Journal:  J Genet Genomics       Date:  2015-03-17       Impact factor: 4.275

Review 3.  Brain energy metabolizing enzymes in Alzheimer's disease: alpha-ketoglutarate dehydrogenase complex and cytochrome oxidase.

Authors:  S J Kish
Journal:  Ann N Y Acad Sci       Date:  1997-09-26       Impact factor: 5.691

4.  Implementing a new variant load model to investigate the role of mtDNA in oxidative stress and inflammation in a bi-ethnic cohort: the SABPA study.

Authors:  Marianne Venter; Leone Malan; Joanna L Elson; Francois H van der Westhuizen
Journal:  Mitochondrial DNA A DNA Mapp Seq Anal       Date:  2019-01-18       Impact factor: 1.514

5.  MutPred mutational load analysis shows mildly deleterious mitochondrial DNA variants are not more prevalent in Alzheimer's patients, but may be under-represented in healthy older individuals.

Authors:  Ilse S Pienaar; Neil Howell; Joanna L Elson
Journal:  Mitochondrion       Date:  2017-04-07       Impact factor: 4.160

6.  Mitochondrial haplogroups associated with Japanese Alzheimer's patients.

Authors:  Shigeru Takasaki
Journal:  J Bioenerg Biomembr       Date:  2009-10       Impact factor: 2.945

7.  No consistent evidence for association between mtDNA variants and Alzheimer disease.

Authors:  G Hudson; R Sims; D Harold; J Chapman; P Hollingworth; A Gerrish; G Russo; M Hamshere; V Moskvina; N Jones; C Thomas; A Stretton; P A Holmans; M C O'Donovan; M J Owen; J Williams; P F Chinnery
Journal:  Neurology       Date:  2012-03-21       Impact factor: 9.910

8.  Predicting the pathogenicity of novel variants in mitochondrial tRNA with MitoTIP.

Authors:  Sanjay Sonney; Jeremy Leipzig; Marie T Lott; Shiping Zhang; Vincent Procaccio; Douglas C Wallace; Neal Sondheimer
Journal:  PLoS Comput Biol       Date:  2017-12-11       Impact factor: 4.475

9.  What can a comparative genomics approach tell us about the pathogenicity of mtDNA mutations in human populations?

Authors:  Hannah O'Keefe; Rachel Queen; Phillip Lord; Joanna L Elson
Journal:  Evol Appl       Date:  2019-08-27       Impact factor: 5.183

10.  A broad comparative genomics approach to understanding the pathogenicity of Complex I mutations.

Authors:  Galya V Klink; Hannah O'Keefe; Amrita Gogna; Georgii A Bazykin; Joanna L Elson
Journal:  Sci Rep       Date:  2021-10-01       Impact factor: 4.379

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