Interaction-integrated linear mixed model reveals 3D-genetic basis underlying Autism

Genomics. 2023 Mar;115(2):110575. doi: 10.1016/j.ygeno.2023.110575. Epub 2023 Feb 8.

Abstract

Genetic interactions play critical roles in genotype-phenotype associations. We developed a novel interaction-integrated linear mixed model (ILMM) that integrates a priori knowledge into linear mixed models. ILMM enables statistical integration of genetic interactions upfront and overcomes the problems of searching for combinations. To demonstrate its utility, with 3D genomic interactions (assessed by Hi-C experiments) as a priori, we applied ILMM to whole-genome sequencing data for Autism Spectrum Disorders (ASD) and brain transcriptome data, revealing the 3D-genetic basis of ASD and 3D-expression quantitative loci (3D-eQTLs) for brain tissues. Notably, we reported a potential mechanism involving distal regulation between FOXP2 and DNMT3A, conferring the risk of ASD.

Keywords: 3D genomic interactions; Autism spectrum disorder; Genetic interaction; Genotype-phenotype association mapping; Linear mixed model.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Autism Spectrum Disorder* / genetics
  • Autistic Disorder* / genetics
  • Brain
  • Genetic Predisposition to Disease
  • Genomics
  • Humans
  • Whole Genome Sequencing

Substances

  • FOXP2 protein, human
  • DNMT3A protein, human