Abstract

BackgroundThe incidence of Alzheimer’s disease, particularly in developing countries, is expected to increase exponentially as the population ages. Continuing research in this area is essential in order to better understand this disease and develop strategies for treatment and prevention. Genome-wide association studies have identified several loci as genetic risk factors of AD aside from apolipoprotein E such as bridging integrator (BIN1), clusterin (CLU), ATP-binding cassette sub-family A member 7 (ABCA7), complement receptor 1 (CR1) and phosphatidylinositol binding clathrin assembly protein (PICALM). However genetic research in developing countries is often limited by lack of funding and expertise. This study therefore developed and validated a simple, cost effective polymerase chain reaction based technique to determine these single nucleotide polymorphisms.MethodsAn allele-specific PCR method was developed to detect single nucleotide polymorphisms of BIN1 rs744373, CLU rs11136000, ABCA7 rs3764650, CR1 rs3818361 and PICALM rs3851179 in human DNA samples. Allele-specific primers were designed by using appropriate software to permit the PCR amplification only if the nucleotide at the 3’-end of the primer complemented the base at the wild-type or variant-type DNA sample. The primers were then searched for uniqueness using the Basic Local Alignment Search Tool search engine.ResultsThe assay was tested on a hundred samples and accurately detected the homozygous wild-type, homozygous variant-type and heterozygous of each SNP. Validation was by direct DNA sequencing.ConclusionThis method will enable researchers to carry out genetic polymorphism studies for genetic risk factors associated with late-onset Alzheimer’s disease (BIN1, CLU, ABCA7, CR1 and PICALM) without the use of expensive instrumentation and reagents.

Highlights

  • The incidence of Alzheimer’s disease, in developing countries, is expected to increase exponentially as the population ages

  • The most common genes associated with late-onset AD (LOAD) in this database on the Human Genome Epidemiology Network (HuGENET) interim guidelines for the assessment of genetic association studies include APOE rs429358 and rs7412, BIN1 rs744373, CLU rs11136000, ATP-binding cassette sub-family A member 7 (ABCA7) rs3764650, complement receptor 1 (CR1) rs3818361, PICALM rs3851179, MS4A6A rs610932, CD33 rs3865444, MS4A4E rs670139, and CD2AP rs9349407 [6]

  • Ethics approval The study was conducted with the approval of the Research Ethics Committee of Universiti Teknologi MARA (UiTM) and the Medical Ethics Committee of the University of Malaya Medical Centre (UMMC), which adheres to the Declaration of Helsinki

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Summary

Introduction

The incidence of Alzheimer’s disease, in developing countries, is expected to increase exponentially as the population ages. Continuing research in this area is essential in order to better understand this disease and develop strategies for treatment and prevention. The incidence and prevalence of dementia is projected to increase exponentially as the worldwide population ages. The most common genes associated with LOAD in this database on the Human Genome Epidemiology Network (HuGENET) interim guidelines for the assessment of genetic association studies (updated 18th April 2011) include APOE rs429358 and rs7412, BIN1 rs744373, CLU rs11136000, ABCA7 rs3764650, CR1 rs3818361, PICALM rs3851179, MS4A6A rs610932, CD33 rs3865444, MS4A4E rs670139, and CD2AP rs9349407 [6]

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