Discovery and reproducibility of sparse components enriched for disease heritability.

Abstract

(A) Heat map of known covariates and correlation with individual scores from each of the 500 components (left) and 56 sparse components (right) in FF data. (B) Heat map of condition specificity scores for the sparse components in FF data. Each row is a stimulation (naïve, LPS, or IFN) and each column is a sparse component. (C) Component replication between component 282 (CG) and component 337 (FF LPS24) for the most highly scored genes. The gene scores from the two components (in CG and FF) are highly correlated. (D) Proportion of heritability for 18 selected complex traits that can be attributed to each sparse component from the FF data. Shown here are enrichment statistics (with standard error) comparing the proportion of SNP heritability within the components divided by the proportion of total SNPs represented at FDR-corrected P < 0.05. (E) Gene Ontology (GO) enrichment for genes in component 61 and 22. AD: Alzheimer’s disease; PD: Parkinson’s disease; AUT: Autism; MS: Multiple Sclerosis; SCZ: Schizophrenia; T2D: Type 2 Diabetes; LUP: Lupus; PBC; Primary Biliary Cirrhosis; RA: Rheumatoid Arthritis; IBD: Inflammatory Bowel Disease; CRN: Crohn’s Disease; CEL: Celiac Disease; UC: Ulcerative Colitis; HDL: High-density lipoprotein Cholesterol; LDL: Low-density lipoprotein Cholesterol; BMI: Body Mass Index; CAD: Coronary Artery Disease; HGT: Height.</p