Expressive

rs10808026 - EPHA1

Magnitude 4.5 · 2 studies on file

Reported associations

  • Pleiotropic predisposition to Alzheimer's disease and educational attainment: insights from the summary statistics analysis - Unknown journal (n.d.) · Unknown authors · PubMed 34743297

    ABSTRACT: Epidemiological studies report beneficial associations of higher educational attainment (EDU) with Alzheimer's disease (AD). Prior genome-wide association studies (GWAS) also reported variants associated with AD and EDU separately. The analysis of pleiotropic associations with these phenotypes may shed light on EDU-related protection against AD. We performed pleiotropic meta-analyses using Fisher's method and omnibus test applied to summary statistics for single nucleotide polymorphisms (SNPs) associated with AD and EDU in large-scale univariate GWAS at suggestive-effect (5 × 10−8 < p < 0.1) and genome-wide (p ≤ 5 × 10−8) significance levels. We report 53 SNPs that attained p ≤ 5 × 10−8 at least in one of the pleiotropic meta-analyses and were reported in the uni

  • Shared genetic architecture between metabolic traits and Alzheimer's disease: A large scale genome-wide cross-trait analysis - Unknown journal (n.d.) · Unknown authors · PubMed 30805717

    ABSTRACT: A growing number of studies clearly demonstrate a substantial link between metabolic dysfunction and the risk of Alzheimer's disease (AD), especially glucose related dysfunction; one hypothesis for this comorbidity is the presence of a common genetic etiology. We conducted a large-scale cross-trait GWAS to investigate the genetic overlap between AD and 10 metabolic traits. Among all the metabolic traits, fasting glucose, fasting insulin and HDL were found to be genetically associated with AD. Local genetic covariance analysis found 19q13 region had strong local genetic correlation between AD and T2D (P=6.78×10−22), LDL (P=1.74×10−253) and HDL (P=7.94×10−18). Cross-trait meta-analysis identified 4 loci that were associated with AD and fasting glucose, 3 loci that were a

Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.