Literature DB >> 32573913

Genome-wide association study of rate of cognitive decline in Alzheimer's disease patients identifies novel genes and pathways.

Richard Sherva1, Alden Gross2, Shubhabrata Mukherjee3, Ryan Koesterer4, Philippe Amouyel5,6,7, Celine Bellenguez5,6,7, Carole Dufouil8, David A Bennett9,10, Lori Chibnik11,12, Carlos Cruchaga13,14,15,16, Jorge Del-Aguila13,14,15,16, Lindsay A Farrer1,17,18,19,20,21, Richard Mayeux22,23,24, Leanne Munsie25, Ashley Winslow26, Stephen Newhouse27,28,29,30,31, Andrew J Saykin32, John S K Kauwe33, Paul K Crane3, Robert C Green34,35,36,37.   

Abstract

INTRODUCTION: Variability exists in the disease trajectories of Alzheimer's disease (AD) patients. We performed a genome-wide association study to examine rate of cognitive decline (ROD) in patients with AD.
METHODS: We tested for interactions between genetic variants and time since diagnosis to predict the ROD of a composite cognitive score in 3946 AD cases and performed pathway analysis on the top genes.
RESULTS: Suggestive associations (P < 1.0 × 10-6 ) were observed on chromosome 15 in DNA polymerase-γ (rs3176205, P = 1.11 × 10-7 ), chromosome 7 (rs60465337,P = 4.06 × 10-7 ) in contactin-associated protein-2, in RP11-384F7.1 on chromosome 3 (rs28853947, P = 5.93 × 10-7 ), family with sequence similarity 214 member-A on chromosome 15 (rs2899492, P = 5.94 × 10-7 ), and intergenic regions on chromosomes 16 (rs4949142, P = 4.02 × 10-7 ) and 4 (rs1304013, P = 7.73 × 10-7 ). Significant pathways involving neuronal development and function, apoptosis, memory, and inflammation were identified. DISCUSSION: Pathways related to AD, intelligence, and neurological function determine AD progression, while previously identified AD risk variants, including the apolipoprotein (APOE) ε4 and ε2 variants, do not have a major impact.
© 2020 the Alzheimer's Association.

Entities:  

Keywords:  cognitive decline; disease progression; genetic association; pathway analysis

Mesh:

Year:  2020        PMID: 32573913      PMCID: PMC7924136          DOI: 10.1002/alz.12106

Source DB:  PubMed          Journal:  Alzheimers Dement        ISSN: 1552-5260            Impact factor:   16.655


  102 in total

1.  Late Onset Alzheimer's Disease Risk Variants in Cognitive Decline: The PATH Through Life Study.

Authors:  Shea J Andrews; Debjani Das; Kaarin J Anstey; Simon Easteal
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2.  X11alpha haploinsufficiency enhances Abeta amyloid deposition in Alzheimer's disease transgenic mice.

Authors:  Inderjeet Saluja; Henry Paulson; Ashwin Gupta; R Scott Turner
Journal:  Neurobiol Dis       Date:  2009-07-23       Impact factor: 5.996

3.  Association of genetic risk factors with cognitive decline: the PATH through life project.

Authors:  Shea J Andrews; Debjani Das; Nicolas Cherbuin; Kaarin J Anstey; Simon Easteal
Journal:  Neurobiol Aging       Date:  2016-02-21       Impact factor: 4.673

4.  Predicting cognitive decline: a dementia risk score vs. the Framingham vascular risk scores.

Authors:  Sara Kaffashian; Aline Dugravot; Alexis Elbaz; Martin J Shipley; Séverine Sabia; Mika Kivimäki; Archana Singh-Manoux
Journal:  Neurology       Date:  2013-04-02       Impact factor: 9.910

5.  Effect of tarenflurbil on cognitive decline and activities of daily living in patients with mild Alzheimer disease: a randomized controlled trial.

Authors:  Robert C Green; Lon S Schneider; David A Amato; Andrew P Beelen; Gordon Wilcock; Edward A Swabb; Kenton H Zavitz
Journal:  JAMA       Date:  2009-12-16       Impact factor: 56.272

6.  Linkage, association, and gene-expression analyses identify CNTNAP2 as an autism-susceptibility gene.

Authors:  Maricela Alarcón; Brett S Abrahams; Jennifer L Stone; Jacqueline A Duvall; Julia V Perederiy; Jamee M Bomar; Jonathan Sebat; Michael Wigler; Christa L Martin; David H Ledbetter; Stanley F Nelson; Rita M Cantor; Daniel H Geschwind
Journal:  Am J Hum Genet       Date:  2008-01       Impact factor: 11.025

7.  Molecular cytogenetic analysis and resequencing of contactin associated protein-like 2 in autism spectrum disorders.

Authors:  Betul Bakkaloglu; Brian J O'Roak; Angeliki Louvi; Abha R Gupta; Jesse F Abelson; Thomas M Morgan; Katarzyna Chawarska; Ami Klin; A Gulhan Ercan-Sencicek; Althea A Stillman; Gamze Tanriover; Brett S Abrahams; Jackie A Duvall; Elissa M Robbins; Daniel H Geschwind; Thomas Biederer; Murat Gunel; Richard P Lifton; Matthew W State
Journal:  Am J Hum Genet       Date:  2008-01       Impact factor: 11.025

8.  Genome-wide analyses of human perisylvian cerebral cortical patterning.

Authors:  B S Abrahams; D Tentler; J V Perederiy; M C Oldham; G Coppola; D H Geschwind
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-31       Impact factor: 11.205

9.  A combined analysis of genetically correlated traits identifies 187 loci and a role for neurogenesis and myelination in intelligence.

Authors:  C R Gale; G Davies; I J Deary; W D Hill; R E Marioni; O Maghzian; S J Ritchie; S P Hagenaars; A M McIntosh
Journal:  Mol Psychiatry       Date:  2018-01-11       Impact factor: 15.992

10.  Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease.

Authors:  J C Lambert; C A Ibrahim-Verbaas; D Harold; A C Naj; R Sims; C Bellenguez; A L DeStafano; J C Bis; G W Beecham; B Grenier-Boley; G Russo; T A Thorton-Wells; N Jones; A V Smith; V Chouraki; C Thomas; M A Ikram; D Zelenika; B N Vardarajan; Y Kamatani; C F Lin; A Gerrish; H Schmidt; B Kunkle; M L Dunstan; A Ruiz; M T Bihoreau; S H Choi; C Reitz; F Pasquier; C Cruchaga; D Craig; N Amin; C Berr; O L Lopez; P L De Jager; V Deramecourt; J A Johnston; D Evans; S Lovestone; L Letenneur; F J Morón; D C Rubinsztein; G Eiriksdottir; K Sleegers; A M Goate; N Fiévet; M W Huentelman; M Gill; K Brown; M I Kamboh; L Keller; P Barberger-Gateau; B McGuiness; E B Larson; R Green; A J Myers; C Dufouil; S Todd; D Wallon; S Love; E Rogaeva; J Gallacher; P St George-Hyslop; J Clarimon; A Lleo; A Bayer; D W Tsuang; L Yu; M Tsolaki; P Bossù; G Spalletta; P Proitsi; J Collinge; S Sorbi; F Sanchez-Garcia; N C Fox; J Hardy; M C Deniz Naranjo; P Bosco; R Clarke; C Brayne; D Galimberti; M Mancuso; F Matthews; S Moebus; P Mecocci; M Del Zompo; W Maier; H Hampel; A Pilotto; M Bullido; F Panza; P Caffarra; B Nacmias; J R Gilbert; M Mayhaus; L Lannefelt; H Hakonarson; S Pichler; M M Carrasquillo; M Ingelsson; D Beekly; V Alvarez; F Zou; O Valladares; S G Younkin; E Coto; K L Hamilton-Nelson; W Gu; C Razquin; P Pastor; I Mateo; M J Owen; K M Faber; P V Jonsson; O Combarros; M C O'Donovan; L B Cantwell; H Soininen; D Blacker; S Mead; T H Mosley; D A Bennett; T B Harris; L Fratiglioni; C Holmes; R F de Bruijn; P Passmore; T J Montine; K Bettens; J I Rotter; A Brice; K Morgan; T M Foroud; W A Kukull; D Hannequin; J F Powell; M A Nalls; K Ritchie; K L Lunetta; J S Kauwe; E Boerwinkle; M Riemenschneider; M Boada; M Hiltuenen; E R Martin; R Schmidt; D Rujescu; L S Wang; J F Dartigues; R Mayeux; C Tzourio; A Hofman; M M Nöthen; C Graff; B M Psaty; L Jones; J L Haines; P A Holmans; M Lathrop; M A Pericak-Vance; L J Launer; L A Farrer; C M van Duijn; C Van Broeckhoven; V Moskvina; S Seshadri; J Williams; G D Schellenberg; P Amouyel
Journal:  Nat Genet       Date:  2013-10-27       Impact factor: 38.330

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

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7.  Admixture mapping reveals the association between Native American ancestry at 3q13.11 and reduced risk of Alzheimer's disease in Caribbean Hispanics.

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