Japanese Alzheimer’s Disease and Other Complex Disorders Diagnosis Based on Mitochondrial SNP Haplogroups

This paper first explains how the relations between Japanese Alzheimer’s disease (AD) patients and their mitochondrial SNP frequencies at individual mtDNA positions examined using the radial basis function (RBF) network and a method based on RBF network predictions and that Japanese AD patients are...

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Main Author: Shigeru Takasaki
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:International Journal of Alzheimer's Disease
Online Access:http://dx.doi.org/10.1155/2012/245038
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spelling doaj-2343ff8e6f174a2fae0490f212acedca2020-11-24T23:52:57ZengHindawi LimitedInternational Journal of Alzheimer's Disease2090-80242090-02522012-01-01201210.1155/2012/245038245038Japanese Alzheimer’s Disease and Other Complex Disorders Diagnosis Based on Mitochondrial SNP HaplogroupsShigeru Takasaki0Toyo University, Izumino 1-1-1, Ora-gun Itakuracho, Gunma 374-0193, JapanThis paper first explains how the relations between Japanese Alzheimer’s disease (AD) patients and their mitochondrial SNP frequencies at individual mtDNA positions examined using the radial basis function (RBF) network and a method based on RBF network predictions and that Japanese AD patients are associated with the haplogroups G2a and N9b1. It then describes a method for the initial diagnosis of Alzheimer’s disease that is based on the mtSNP haplogroups of the AD patients. The method examines the relations between someone’s mtDNA mutations and the mtSNPs of AD patients. As the mtSNP haplogroups thus obtained indicate which nucleotides of mtDNA loci are changed in the Alzheimer’s patients, a person’s probability of becoming an AD patient can be predicted by comparing those mtDNA mutations with that person’s mtDNA mutations. The proposed method can also be used to diagnose diseases such as Parkinson’s disease and type 2 diabetes and to identify people likely to become centenarians.http://dx.doi.org/10.1155/2012/245038
collection DOAJ
language English
format Article
sources DOAJ
author Shigeru Takasaki
spellingShingle Shigeru Takasaki
Japanese Alzheimer’s Disease and Other Complex Disorders Diagnosis Based on Mitochondrial SNP Haplogroups
International Journal of Alzheimer's Disease
author_facet Shigeru Takasaki
author_sort Shigeru Takasaki
title Japanese Alzheimer’s Disease and Other Complex Disorders Diagnosis Based on Mitochondrial SNP Haplogroups
title_short Japanese Alzheimer’s Disease and Other Complex Disorders Diagnosis Based on Mitochondrial SNP Haplogroups
title_full Japanese Alzheimer’s Disease and Other Complex Disorders Diagnosis Based on Mitochondrial SNP Haplogroups
title_fullStr Japanese Alzheimer’s Disease and Other Complex Disorders Diagnosis Based on Mitochondrial SNP Haplogroups
title_full_unstemmed Japanese Alzheimer’s Disease and Other Complex Disorders Diagnosis Based on Mitochondrial SNP Haplogroups
title_sort japanese alzheimer’s disease and other complex disorders diagnosis based on mitochondrial snp haplogroups
publisher Hindawi Limited
series International Journal of Alzheimer's Disease
issn 2090-8024
2090-0252
publishDate 2012-01-01
description This paper first explains how the relations between Japanese Alzheimer’s disease (AD) patients and their mitochondrial SNP frequencies at individual mtDNA positions examined using the radial basis function (RBF) network and a method based on RBF network predictions and that Japanese AD patients are associated with the haplogroups G2a and N9b1. It then describes a method for the initial diagnosis of Alzheimer’s disease that is based on the mtSNP haplogroups of the AD patients. The method examines the relations between someone’s mtDNA mutations and the mtSNPs of AD patients. As the mtSNP haplogroups thus obtained indicate which nucleotides of mtDNA loci are changed in the Alzheimer’s patients, a person’s probability of becoming an AD patient can be predicted by comparing those mtDNA mutations with that person’s mtDNA mutations. The proposed method can also be used to diagnose diseases such as Parkinson’s disease and type 2 diabetes and to identify people likely to become centenarians.
url http://dx.doi.org/10.1155/2012/245038
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