Genetic feature engineering enables characterisation of shared risk factors in immune-mediated diseases.

ABSTRACT:

Background

Genome-wide association studies (GWAS) have identified pervasive sharing of genetic architectures across multiple immune-mediated diseases (IMD). By learning the genetic basis of IMD risk from common diseases, this sharing can be exploited to enable analysis of less frequent IMD where, due to limited sample size, traditional GWAS techniques are challenging.

Methods

Exploiting ideas from Bayesian genetic fine-mapping, we developed a disease-focused shrinkage approach to allow us to distill genetic risk components from GWAS summary statistics for a set of related diseases. We applied this technique to 13 larger GWAS of common IMD, deriving a reduced dimension "basis" that summarised the multidimensional components of genetic risk. We used independent datasets includ

SUBMITTER: Burren OS 

PROVIDER: S-EPMC7687775 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature