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Imelda Barber

Researcher at University of Nottingham

Publications -  25
Citations -  1937

Imelda Barber is an academic researcher from University of Nottingham. The author has contributed to research in topics: Genome-wide association study & Dementia with Lewy bodies. The author has an hindex of 13, co-authored 24 publications receiving 1587 citations.

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Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease

Rebecca Sims, +487 more
- 01 Sep 2017 - 
TL;DR: Three new genome-wide significant nonsynonymous variants associated with Alzheimer's disease are observed, providing additional evidence that the microglia-mediated innate immune response contributes directly to the development of Alzheimer's Disease.
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Rare coding variants in the phospholipase D3 gene confer risk for Alzheimer’s disease

Carlos Cruchaga, +79 more
- 23 Jan 2014 - 
TL;DR: The genetic and functional data indicate that carriers of PLD3 coding variants have a twofold increased risk for LOAD and thatPLD3 influences APP processing, and provides an example of how densely affected families may help to identify rare variants with large effects on risk for disease or other complex traits.
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Genetic analysis implicates APOE, SNCA and suggests lysosomal dysfunction in the etiology of Dementia with Lewy Bodies.

TL;DR: It is indicated that DLB has a unique genetic risk profile when compared with the two most common neurodegenerative diseases and that the lysosome may play an important role in the etiology of this disorder.
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Investigating the genetic architecture of dementia with Lewy bodies: a two-stage genome-wide association study

Rita Guerreiro, +78 more
- 01 Jan 2018 - 
TL;DR: Despite the small sample size for a genome-wide association study, and acknowledging the potential biases from ascertaining samples from multiple locations, this study presents the most comprehensive and well powered genetic study in dementia with Lewy bodies so far.
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Missense variant in TREML2 protects against Alzheimer's disease

TL;DR: Complete analyses using whole-exome sequencing data, cerebrospinal fluid biomarker analyses, meta-analyses and cell-based functional studies support the role of the TREML2 coding missense variant p.R47H (rs3747742) as a potential driver of the meta-analysis AD-associated genome-wide association studies signal.