Article
Accurate identification of genes associated with brain disorders by integrating heterogeneous genomic data into a Bayesian framework.
EBioMedicine - 1 Sept 2024
He Dan, Li Ling, Zhang Huasong, Liu Feiyi, Li Shaoying, Xiu Xuehao, Fan Cong, Qi Mengling, Meng Meng, Ye Junping, Mort Matthew, Stenson Peter D, Cooper David N, Zhao Huiying
Abstract excerpt
BACKGROUND: Genome-wide association studies (GWAS) have revealed many brain disorder-associated SNPs residing in the noncoding genome, rendering it a challenge to decipher the underlying pathogenic mechanisms. METHODS: Here, we present an unsupervised Bayesian framework to identify disease-associated genes by integrating risk SNPs with long-range chromatin interactions (iGOAT), including SNP-SNP interactions...
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