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A Genetic Study of Cerebral Atherosclerosis Reveals Novel Associations with NTNG1 and CNOT3

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TLDR
In this article, the authors examined the association of common single nucleotide polymorphisms with cerebral atherosclerosis severity and found that the SNPs may influence brain protein expression of CNOT3, which has been shown to be a master regulator of mRNA stability and translation.
Abstract
Cerebral atherosclerosis is a leading cause of stroke and an important contributor to dementia. Yet little is known about its genetic basis. To examine the association of common single nucleotide polymorphisms with cerebral atherosclerosis severity, we conducted a genomewide association study (GWAS) using data collected as part of two community-based cohort studies in the United States, the Religious Orders Study (ROS) and Rush Memory and Aging Project (MAP). Both studies enroll older individuals and exclude participants with signs of dementia at baseline. From our analysis of 1325 participants of European ancestry who had genotype and neuropathologically assessed cerebral atherosclerosis measures available, we found a novel locus for cerebral atherosclerosis in NTNG1. The locus comprises eight SNPs, including two independent significant SNPs: rs6664221 (β = -0.27, 95% CI = (-0.35, -0.19), p = 1.29 × 10-10) and rs10881463 (β = -0.20, 95% CI = (-0.27, -0.13), p = 3.40 × 10-8). We further found that the SNPs may influence cerebral atherosclerosis by regulating brain protein expression of CNOT3. CNOT3 is a subunit of CCR4-NOT, which has been shown to be a master regulator of mRNA stability and translation and an important complex for cholesterol homeostasis. In summary, we identify a novel genetic locus for cerebral atherosclerosis and a potential mechanism linking this variation to cerebral atherosclerosis progression. These findings offer insights into the genetic effects on cerebral atherosclerosis.

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Journal ArticleDOI

Genome-wide association study of brain arteriolosclerosis

TL;DR: This paper performed a genome-wide association study (GWAS) of the brain arteriolosclerosis (B-ASC) phenotype using multiple independent aged neuropathologic cohorts and identified putative loci associated with B-ASC risk, but additional replication is needed.
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Genome-wide association study of multiple neuropathology endophenotypes identifies novel risk loci and provides insights into known Alzheimer's risk loci

TL;DR: In this paper, the authors used generalized linear mixed models to identify risk loci, followed by Bayesian colocalization analyses to identify potential functional mechanisms by which genetic loci influence neuropathology risk.
References
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Journal ArticleDOI

PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses

TL;DR: This work introduces PLINK, an open-source C/C++ WGAS tool set, and describes the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation, which focuses on the estimation and use of identity- by-state and identity/descent information in the context of population-based whole-genome studies.
Journal ArticleDOI

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

TL;DR: This work describes a method that enables explicit detection and correction of population stratification on a genome-wide scale and uses principal components analysis to explicitly model ancestry differences between cases and controls.
Journal ArticleDOI

METAL: fast and efficient meta-analysis of genomewide association scans.

TL;DR: METAL provides a computationally efficient tool for meta-analysis of genome-wide association scans, which is a commonly used approach for improving power complex traits gene mapping studies.
Journal ArticleDOI

10 Years of GWAS Discovery: Biology, Function, and Translation

TL;DR: The remarkable range of discoveriesGWASs has facilitated in population and complex-trait genetics, the biology of diseases, and translation toward new therapeutics are reviewed.
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