Literature DB >> 29107063

Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses.

Anatoliy I Yashin1, Fang Fang2, Mikhail Kovtun2, Deqing Wu2, Matt Duan2, Konstantin Arbeev2, Igor Akushevich2, Alexander Kulminski2, Irina Culminskaya2, Ilya Zhbannikov2, Arseniy Yashkin2, Eric Stallard2, Svetlana Ukraintseva3.   

Abstract

Despite evident success in clarifying many important features of Alzheimer's disease (AD) the efficient methods of its prevention and treatment are not yet available. The reasons are likely to be the fact that AD is a multifactorial and heterogeneous health disorder with multiple alternative pathways of disease development and progression. The availability of genetic data on individuals participated in longitudinal studies of aging health and longevity, as well as on participants of cross-sectional case-control studies allow for investigating genetic and non-genetic connections with AD and to link the results of these analyses with research findings obtained in clinical, experimental, and molecular biological studies of this health disorder. The objective of this paper is to perform GWAS of AD in several study populations and investigate possible roles of detected genetic factors in developing AD hallmarks and in other health disorders. The data collected in the Framingham Heart Study (FHS), Cardiovascular Health Study (CHS), Health and Retirement Study (HRS) and Late Onset Alzheimer's Disease Family Study (LOADFS) were used in these analyses. The logistic regression and Cox's regression were used as statistical models in GWAS. The results of analyses confirmed strong associations of genetic variants from well-known genes APOE, TOMM40, PVRL2 (NECTIN2), and APOC1 with AD. Possible roles of these genes in pathological mechanisms resulting in development of hallmarks of AD are described. Many genes whose connection with AD was detected in other studies showed nominally significant associations with this health disorder in our study. The evidence on genetic connections between AD and vulnerability to infection, as well as between AD and other health disorders, such as cancer and type 2 diabetes, were investigated. The progress in uncovering hidden heterogeneity in AD would be substantially facilitated if common mechanisms involved in development of AD, its hallmarks, and AD related chronic conditions were investigated in their mutual connection.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Amyloid cascade hypothesis; BBB; Cancer; Diabetes; Neurodegeneration; Neuroinflammation; Neuronal death; Pleiotropy; Response to infection; Synapse loss

Mesh:

Year:  2017        PMID: 29107063      PMCID: PMC5920782          DOI: 10.1016/j.exger.2017.10.020

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  116 in total

1.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
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Review 2.  Brain aging, Alzheimer's disease, and mitochondria.

Authors:  Russell H Swerdlow
Journal:  Biochim Biophys Acta       Date:  2011-09-02

3.  ApoE gene and exceptional longevity: Insights from three independent cohorts.

Authors:  Nuria Garatachea; Enzo Emanuele; Miguel Calero; Noriyuki Fuku; Yasumichi Arai; Yukiko Abe; Haruka Murakami; Motohiko Miyachi; Thomas Yvert; Zoraida Verde; Ma Ascensión Zea; Letizia Venturini; Catalina Santiago; Alejandro Santos-Lozano; Gabriel Rodríguez-Romo; Giovanni Ricevuti; Nobuyoshi Hirose; Alberto Rábano; Alejandro Lucia
Journal:  Exp Gerontol       Date:  2014-02-15       Impact factor: 4.032

4.  Expression of poliovirus receptor-related proteins PRR1 and PRR2 in acute myeloid leukemia: first report of surface marker analysis, contribution to diagnosis, prognosis and implications for future therapeutical strategies.

Authors:  M Graf; S Reif; K Hecht; T Kroell; V Nuessler; H Schmetzer
Journal:  Eur J Haematol       Date:  2005-12       Impact factor: 2.997

5.  [TOMM40 gene polymorphism association with lipid profile].

Authors:  R R Salakhov; I A Goncharova; O A Makeeva; M V Golubenko; E V Kulish; V V Kashtalap; O L Barbarash; V P Puzyrev
Journal:  Genetika       Date:  2014-02

Review 6.  The interaction of amyloid-beta with ApoE.

Authors:  Donald B Carter
Journal:  Subcell Biochem       Date:  2005

7.  Trade-off between cancer and aging: what role do other diseases play? Evidence from experimental and human population studies.

Authors:  Anatoli I Yashin; Svetlana V Ukraintseva; Igor V Akushevich; Konstantin G Arbeev; Alexander Kulminski; Lucy Akushevich
Journal:  Mech Ageing Dev       Date:  2008-03-25       Impact factor: 5.432

Review 8.  Apolipoprotein E, an important player in longevity and age-related diseases.

Authors:  Lisa S Ang; Rani P Cruz; Alon Hendel; David J Granville
Journal:  Exp Gerontol       Date:  2008-04-04       Impact factor: 4.032

9.  Association between APOC1 polymorphism and Alzheimer's disease: a case-control study and meta-analysis.

Authors:  Qin Zhou; Fan Zhao; Ze-ping Lv; Chen-guang Zheng; Wei-dong Zheng; Liang Sun; Na-na Wang; Shenghang Pang; Fabiana Michelsen de Andrade; Mian Fu; Xiang-hua He; Juan Hui; WenyYu Jiang; Chu-yu Yang; Xiao-hong Shi; Xiao-quan Zhu; Guo-fang Pang; Yi-ge Yang; Hai-qun Xie; Wan-dong Zhang; Cai-you Hu; Ze Yang
Journal:  PLoS One       Date:  2014-01-31       Impact factor: 3.240

Review 10.  Diabetes and the brain: issues and unmet needs.

Authors:  Natan M Bornstein; Michael Brainin; Alla Guekht; Ingmar Skoog; Amos D Korczyn
Journal:  Neurol Sci       Date:  2014-04-29       Impact factor: 3.307

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  21 in total

1.  Decline in biological resilience as key manifestation of aging: Potential mechanisms and role in health and longevity.

Authors:  Svetlana Ukraintseva; Konstantin Arbeev; Matt Duan; Igor Akushevich; Alexander Kulminski; Eric Stallard; Anatoliy Yashin
Journal:  Mech Ageing Dev       Date:  2020-12-16       Impact factor: 5.432

2.  The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach.

Authors:  Nicolas Ruffini; Susanne Klingenberg; Raoul Heese; Susann Schweiger; Susanne Gerber
Journal:  Front Aging Neurosci       Date:  2022-06-27       Impact factor: 5.702

Review 3.  Heterogeneity in Alzheimer's Disease Diagnosis and Progression Rates: Implications for Therapeutic Trials.

Authors:  Ranjan Duara; Warren Barker
Journal:  Neurotherapeutics       Date:  2022-01-27       Impact factor: 6.088

4.  Genetics of Human Longevity From Incomplete Data: New Findings From the Long Life Family Study.

Authors:  Anatoliy I Yashin; Konstantin G Arbeev; Deqing Wu; Liubov S Arbeeva; Olivia Bagley; Eric Stallard; Alexander M Kulminski; Igor Akushevich; Fang Fang; Mary K Wojczynski; Kaare Christensen; Anne B Newman; Robert M Boudreau; Michael A Province; Stephen Thielke; Thomas T Perls; Ping An; Irma Elo; Svetlana V Ukraintseva
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2018-10-08       Impact factor: 6.053

5.  Identification of Alzheimer's Disease-Related Genes Based on Data Integration Method.

Authors:  Yang Hu; Tianyi Zhao; Tianyi Zang; Ying Zhang; Liang Cheng
Journal:  Front Genet       Date:  2019-01-25       Impact factor: 4.599

6.  Genome-wide analysis of genetic predisposition to Alzheimer's disease and related sex disparities.

Authors:  Alireza Nazarian; Anatoliy I Yashin; Alexander M Kulminski
Journal:  Alzheimers Res Ther       Date:  2019-01-12       Impact factor: 6.982

7.  Enrichment factors for clinical trials in mild-to-moderate Alzheimer's disease.

Authors:  Clive Ballard; Alireza Atri; Neli Boneva; Jeffrey L Cummings; Lutz Frölich; José Luis Molinuevo; Pierre N Tariot; Lars Lau Raket
Journal:  Alzheimers Dement (N Y)       Date:  2019-05-20

8.  Investigation of base excision repair gene variants in late-onset Alzheimer's disease.

Authors:  Tugce Ertuzun; Asli Semerci; Mehmet Emin Cakir; Aysegul Ekmekcioglu; Mehmet Oguz Gok; Daniela T Soltys; Nadja C de Souza-Pinto; Ugur Sezerman; Meltem Muftuoglu
Journal:  PLoS One       Date:  2019-08-15       Impact factor: 3.240

9.  Interplay between stress-related genes may influence Alzheimer's disease development: The results of genetic interaction analyses of human data.

Authors:  Anatoliy I Yashin; Deqing Wu; Konstantin Arbeev; Olivia Bagley; Igor Akushevich; Matt Duan; Arseniy Yashkin; Svetlana Ukraintseva
Journal:  Mech Ageing Dev       Date:  2021-03-30       Impact factor: 5.498

Review 10.  Questions concerning the role of amyloid-β in the definition, aetiology and diagnosis of Alzheimer's disease.

Authors:  Gary P Morris; Ian A Clark; Bryce Vissel
Journal:  Acta Neuropathol       Date:  2018-10-22       Impact factor: 17.088

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