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Integration of multiple-omics data to reveal the shared genetic architecture of educational attainment, intelligence, cognitive performance, and Alzheimer’s disease

  • Fuxu Wang
  • , Haoyan Wang
  • , Ye Yuan
  • , Bing Han
  • , Shizheng Qiu
  • , Yang Hu*
  • , Tianyi Zang*
  • *Corresponding author for this work
  • Faculty of Computing, Harbin Institute of Technology
  • Beidahuang Industry Group General Hospital
  • Aier Eye Hospital

Research output: Contribution to journalArticlepeer-review

Abstract

Growing evidence suggests the effect of educational attainment (EA) on Alzheimer’s disease (AD), but less is known about the shared genetic architecture between them. Here, leveraging genome-wide association studies (GWAS) for AD (N = 21,982/41,944), EA (N = 1,131,881), cognitive performance (N = 257,828), and intelligence (N = 78,308), we investigated their causal association with the linkage disequilibrium score (LDSC) and Mendelian randomization and their shared loci with the conjunctional false discovery rate (conjFDR), transcriptome-wide association studies (TWAS), and colocalization. We observed significant genetic correlations of EA (rg = −0.22, p = 5.07E-05), cognitive performance (rg = −0.27, p = 2.44E-05), and intelligence (rg = −0.30, p = 3.00E-04) with AD, and a causal relationship between EA and AD (OR = 0.74, 95% CI: 0.58–0.94, p = 0.013). We identified 13 shared loci at conjFDR <0.01, of which five were novel, and prioritized three causal genes. These findings inform early prevention strategies for AD.

Original languageEnglish
Article number1243879
JournalFrontiers in Genetics
Volume14
DOIs
StatePublished - 2023
Externally publishedYes

Keywords

  • Alzheimer’s disease
  • Mendelian randomization
  • cognitive performance
  • conditional false discovery rate
  • educational attainment
  • genome-wide association studies
  • intelligence

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