Literature DB >> 31319229

Targeted genetic analysis of cerebral blood flow imaging phenotypes implicates the INPP5D gene.

Xiaohui Yao1, Shannon L Risacher2, Kwangsik Nho2, Andrew J Saykin2, Ze Wang3, Li Shen4.   

Abstract

The vascular hypothesis of Alzheimer's disease (AD) has proposed the involvement of brain hypoperfusion in AD pathogenesis, where cognitive decline and dysfunction result from dwindling cerebral blood flow (CBF). Based on the vascular hypothesis of Alzheimer's disease, we focused on exploring how genetic factors influence AD pathogenesis via the cerebrovascular system. To investigate the role of CBF endophenotypes in AD pathogenesis, we performed a targeted genetic analysis of 258 subjects from the Alzheimer's Disease Neuroimaging Initiative cohort to examine associations between 4033 single-nucleotide polymorphisms of 24 AD genes and CBF measures in 4 brain regions. A novel association with CBF measure in the left angular gyrus was identified in an INPP5D single-nucleotide polymorphism (i.e., rs61068452; p = 1.48E-7; corrected p = 2.39E-3). The gene-based analysis discovered both INPP5D and CD2AP associated with the left angular gyrus CBF. Further analyses on nonoverlapping samples revealed that rs61068452-G was associated with lower CSF t-tau/Aβ1-42 ratio. Our findings suggest a protective role of rs61068452-G in an AD-relevant cerebrovascular endophenotype, which has the potential to provide novel insights for better mechanistic understanding of AD.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Cerebral blood flow; Genetics; INPP5D; Neurovascular

Mesh:

Substances:

Year:  2019        PMID: 31319229      PMCID: PMC6732252          DOI: 10.1016/j.neurobiolaging.2019.06.003

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  43 in total

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2.  Distinct cerebral perfusion patterns in FTLD and AD.

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3.  Cerebrospinal fluid tau and amyloid-β1-42 in patients with dementia.

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Journal:  Brain       Date:  2015-06-30       Impact factor: 13.501

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5.  Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects.

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7.  Arterial spin labeling imaging reveals widespread and Aβ-independent reductions in cerebral blood flow in elderly apolipoprotein epsilon-4 carriers.

Authors:  Lars Michels; Geoffrey Warnock; Alfred Buck; Gianluca Macauda; Sandra E Leh; Andrea M Kaelin; Florian Riese; Rafael Meyer; Ruth O'Gorman; Christoph Hock; Spyros Kollias; Anton F Gietl
Journal:  J Cereb Blood Flow Metab       Date:  2015-09-30       Impact factor: 6.200

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9.  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
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10.  INPP5D rs35349669 polymorphism with late-onset Alzheimer's disease: A replication study and meta-analysis.

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  16 in total

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2.  Deep Multiview Learning to Identify Population Structure with Multimodal Imaging.

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3.  Volumetric GWAS of medial temporal lobe structures identifies an ERC1 locus using ADNI high-resolution T2-weighted MRI data.

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Journal:  Neurobiol Aging       Date:  2020-07-14       Impact factor: 4.673

4.  Brain Imaging Genomics: Integrated Analysis and Machine Learning.

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5.  INPP5D expression is associated with risk for Alzheimer's disease and induced by plaque-associated microglia.

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7.  AlzGPS: a genome-wide positioning systems platform to catalyze multi-omics for Alzheimer's drug discovery.

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8.  Genome-wide variant-based study of genetic effects with the largest neuroanatomic coverage.

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10.  Hippocampal Subregion and Gene Detection in Alzheimer's Disease Based on Genetic Clustering Random Forest.

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