Literature DB >> 25311924

Genetics of Alzheimer's disease.

Vincent Chouraki1, Sudha Seshadri1.   

Abstract

Alzheimer's disease (AD) represents the main form of dementia, and is a major public health problem. Despite intensive research efforts, current treatments have only marginal symptomatic benefits and there are no effective disease-modifying or preventive interventions. AD has a strong genetic component, so much research in AD has focused on identifying genetic causes and risk factors. This chapter will cover genetic discoveries in AD and their consequences in terms of improved knowledge regarding the disease and the identification of biomarkers and drug targets. First, we will discuss the study of the rare early-onset, autosomal dominant forms of AD that led to the discovery of mutations in three major genes, APP, PSEN1, and PSEN2. These discoveries have shaped our current understanding of the pathophysiology and natural history of AD as well as the development of therapeutic targets and the design of clinical trials. Then, we will explore linkage analysis and candidate gene approaches, which identified variants in Apolipoprotein E (APOE) as the major genetic risk factor for late-onset, "sporadic" forms of AD (LOAD), but failed to robustly identify other genetic risk factors, with the exception of variants in SORL1. The main focus of this chapter will be on recent genome-wide association studies that have successfully identified common genetic variations at over 20 loci associated with LOAD outside of the APOE locus. These loci are in or near-novel AD genes including BIN1, CR1, CLU, phosphatidylinositol-binding clathrin assembly protein (PICALM), CD33, EPHA1, MS4A4/MS4A6, ABCA7, CD2AP, SORL1, HLA-DRB5/DRB1, PTK2B, SLC24A4-RIN3, INPP5D, MEF2C, NME8, ZCWPW1, CELF1, FERMT2, CASS4, and TRIP4 and each has small effects on risk of AD (relative risks of 1.1-1.3). Finally, we will touch upon the ongoing effort to identify less frequent and rare variants through whole exome and whole genome sequencing. This effort has identified two novel genes, TREM2 and PLD3, and shown a role for APP in LOAD. The identification of these recently identified genes has implicated previously unsuspected biological pathways in the pathophysiology of AD.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; DNA sequencing; Epidemiology; Genetics; Genome-wide association study; Review

Mesh:

Year:  2014        PMID: 25311924     DOI: 10.1016/B978-0-12-800149-3.00005-6

Source DB:  PubMed          Journal:  Adv Genet        ISSN: 0065-2660            Impact factor:   1.944


  65 in total

1.  Multisystem Lewy body disease and the other parkinsonian disorders.

Authors:  J William Langston; Birgitt Schüle; Linda Rees; R Jeremy Nichols; Carrolee Barlow
Journal:  Nat Genet       Date:  2015-12       Impact factor: 38.330

Review 2.  Genetics of psychosis of Alzheimer disease.

Authors:  Chintan Shah; Mary Ann A DeMichele-Sweet; Robert A Sweet
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2016-01-12       Impact factor: 3.568

Review 3.  Understanding mechanisms and seeking cures for Alzheimer's disease: why we must be "extraordinarily diverse".

Authors:  Madhav Thambisetty
Journal:  Am J Physiol Cell Physiol       Date:  2017-06-14       Impact factor: 4.249

Review 4.  Innate immune activation in Alzheimer's disease.

Authors:  Ming-Ming Wang; Dan Miao; Xi-Peng Cao; Lin Tan; Lan Tan
Journal:  Ann Transl Med       Date:  2018-05

Review 5.  Redox proteomics and amyloid β-peptide: insights into Alzheimer disease.

Authors:  D Allan Butterfield; Debra Boyd-Kimball
Journal:  J Neurochem       Date:  2018-11-27       Impact factor: 5.372

6.  Association of the CX3CR1-V249I Variant with Neurofibrillary Pathology Progression in Late-Onset Alzheimer's Disease.

Authors:  Alan López-López; Ellen Gelpi; Diana Maria Lopategui; Jose M Vidal-Taboada
Journal:  Mol Neurobiol       Date:  2017-03-25       Impact factor: 5.590

7.  Omics, big data and machine learning as tools to propel understanding of biological mechanisms and to discover novel diagnostics and therapeutics.

Authors:  Nikolaos Perakakis; Alireza Yazdani; George E Karniadakis; Christos Mantzoros
Journal:  Metabolism       Date:  2018-08-08       Impact factor: 8.694

8.  A candidate gene study of risk for dementia in older, postmenopausal women: Results from the Women's Health Initiative Memory Study.

Authors:  Ira Driscoll; Beverly M Snively; Mark A Espeland; Sally A Shumaker; Stephen R Rapp; Joseph S Goveas; Ramon L Casanova; Jean Wactawski-Wende; JoAnn E Manson; Rebecca Rossom; Janet Brooks; Dena G Hernandez; Andrew B Singleton; Susan M Resnick
Journal:  Int J Geriatr Psychiatry       Date:  2019-03-07       Impact factor: 3.485

Review 9.  Genomic variants, genes, and pathways of Alzheimer's disease: An overview.

Authors:  Adam C Naj; Gerard D Schellenberg
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2017-01       Impact factor: 3.568

Review 10.  Brain insulin resistance in type 2 diabetes and Alzheimer disease: concepts and conundrums.

Authors:  Steven E Arnold; Zoe Arvanitakis; Shannon L Macauley-Rambach; Aaron M Koenig; Hoau-Yan Wang; Rexford S Ahima; Suzanne Craft; Sam Gandy; Christoph Buettner; Luke E Stoeckel; David M Holtzman; David M Nathan
Journal:  Nat Rev Neurol       Date:  2018-01-29       Impact factor: 42.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.