Abstract

The number of patients with Alzheimer’s disease (AD) is rapidly increasing in Asia. Mutations in the amyloid protein precursor (APP), presenilin-1 (PSEN1), and presenilin-2 (PSEN2) genes can cause autosomal dominant forms of early-onset AD (EOAD). Although these genes have been extensively studied, variant classification remains a challenge, highlighting the need to colligate mutations across populations. In this study, we performed a genetic screening for mutations in the APP, PSEN1, and PSEN2 genes in 200 clinically diagnosed EOAD patients across four Asian countries, including Thailand, Malaysia, the Philippines, and Korea, between 2009 and 2018. Thirty-two (16%) patients presented pathogenic APP, PSEN1, or PSEN2 variants; eight (25%), 19 (59%), and five (16%) of the 32 patients presented APP, PSEN1, and PSEN2 variants, respectively. Among the 21 novel and known non-synonymous variants, five APP variants were found in Korean patients and one APP variant was identified in a Thai patient with EOAD. Nine, two, and one PSEN1 mutation was found in a Korean patient, Malaysian siblings, and a Thai patient, respectively. Unlike PSEN1 mutations, PSEN2 mutations were rare in patients with EOAD; only three variants were found in Korean patients with EOAD. Comparison of AD-causative point mutations in Asian countries; our findings explained only a small fraction of patients, leaving approximately 84% (p = 0.01) of autosomal dominant pedigrees genetically unexplained. We suggest that the use of high-throughput sequencing technologies for EOAD patients can potentially improve our understanding of the molecular mechanisms of AD.

Highlights

  • Alzheimer’s disease (AD) is one of the most common neurodegenerative disorders, which accounts for up to 75% of all dementia cases [1,2]

  • Considering that the genetic background of Early-onset AD (EOAD) in the Asian population is not well characterized [10,15], we reported non-synonymous mutations in 200 clinically diagnosed patients with EOAD across four Asian countries, including Thailand, Malaysia, the Philippines, and Korea between 2009 and 2018

  • From the 21 novel and known non-synonymous variants, five amyloid protein precursor (APP) variants were found in Korean patients, and one APP variant was identified in a Thai patient

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Summary

Introduction

Alzheimer’s disease (AD) is one of the most common neurodegenerative disorders, which accounts for up to 75% of all dementia cases [1,2]. EOAD is usually inherited autosomal dominantly, and occurs before the age of 60–65 years. Presenilin-1 (PSEN1; MIM #104311) [3], presenilin-2 (PSEN2; MIM #600759) [4], and amyloid protein precursor (APP; MIM #104760) gene mutations [5,6] and duplications [7] can cause autosomal-dominant EOAD. Mutations in these genes have been relatively rarely observed [8–12], Int. J. RReemmaarrkkaabbllyy,, tthhee aaggee ooff oonnsseett aanndd ddiisseeaassee pprrooggrreessssiioonn iiss nnoott oonnllyy iinnflfluueenncceeddbbyyggeenneteitcisc,sb, ubtuatlasolsboybbyobthotlhifelsiftyesletyalnedanendveirnovnimroennmtaelnftaacltofarsct[o1r7s–2[117].–T21h]e.sTehfaecsteorfascmtoarys cmauayse caalutesreedalgteenreedexgperneesseioxnprbeysseipoingebnyetiecpmigoedniefiticcatmioonds,iftihcearteiobnysa, fftehcetrinebgyAaDffpecattihnogloAgyD[1p,1a7th,1o9l,o2g2y]. TThhee ffaasstteesstt iinnccrreeaassee iinn tthhee nnuummbbeerr ooff eellddeerrllyy iinnddiivviidduuaallss hhaass bbeeeenn oobbsseerrvveedd iinn tthhee EEaasstt AAssiiaann coouunnttrriieess. DDiissttrriibbuuttiioonnooffAAPPPP, ,PPSSEENN1,1a, nadndPSPESNEN2 2mmutuataiotinosnisniAn sAiasniacnouconutrnietrsi.eTs.hTehfeasftaesstteisntcirnecarseeaisne tihnethneumnubmerboefr eolfdeelrdlyerilnydiinvdidivuiadlusahlsashbaesebneeonbsoebrsveerdveind AinsiAansiacnoucnoturnietsriwesitwhiathpparpopxriomxaimtealyte6ly0%60o%f aolfl aplaltpieantitesndtisadginaogsneodsewditwh idthemdenmtiean.tTiah. eTchoeucnoturinetsrifersomfrowmhiwchhitchhe tgheengeemneutmatuiotantsioanres raerpeorretpeodraterde sahreowshnoiwnnpuinrppluer. ple

Identified Gene Mutations of APP
Identified Gene Mutations of PSEN1
Materials and Methods
Genetic Analyses
Bioinformatics
Full Text
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