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Carla A. Ibrahim-Verbaas

Researcher at Erasmus University Rotterdam

Publications -  32
Citations -  10307

Carla A. Ibrahim-Verbaas is an academic researcher from Erasmus University Rotterdam. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 24, co-authored 32 publications receiving 8955 citations. Previous affiliations of Carla A. Ibrahim-Verbaas include Radboud University Nijmegen Medical Centre & Harvard University.

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A novel Alzheimer disease locus located near the gene encoding tau protein

Gyungah Jun, +450 more
- 01 Jan 2016 - 
TL;DR: The authors' APOE-stratified GWAS is the first to show GWS association for AD with SNPs in the chromosome 17q21.31 region, and the finding in the stage 1 sample that AD risk is significantly influenced by the interaction of APOE with TMEM106B (P=1·6 × 10−7) is noteworthy, because TMEM 106B variants have previously been associated with risk of frontotemporal dementia.
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Common genetic variants associated with cognitive performance identified using the proxy-phenotype method

Cornelius A. Rietveld, +58 more
TL;DR: This article identified common genetic variants associated with cognitive performance using a two-stage approach, which they call the proxy-phenotype method, and measured the association of these education-associated SNPs with the cognitive performance.
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Convergent genetic and expression data implicate immunity in Alzheimer's disease

Lesley Jones, +208 more
TL;DR: Late‐onset Alzheimer's disease (AD) is heritable with 20 genes showing genome‐wide association in the International Genomics of Alzheimer's Project (IGAP), and this work extended these genetic data in a pathway analysis.
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GWAS for executive function and processing speed suggests involvement of the CADM2 gene

Carla A. Ibrahim-Verbaas, +128 more
- 01 Feb 2016 - 
TL;DR: This article conducted a GWAS of executive functioning and information processing speed in non-demented older adults from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium.