Disease susceptibility refers to the inherited and acquired factors that determine an individual's likelihood of developing a particular disease following exposure to relevant genetic, environmental, or infectious triggers. In genomic research, susceptibility is most often dissected at the level of common variants, …
Disease susceptibility refers to the inherited and acquired factors that determine an individual's likelihood of developing a particular disease following exposure to relevant genetic, environmental, or infectious triggers. In genomic research, susceptibility is most often dissected at the level of common variants, especially single-nucleotide polymorphisms, that subtly shift risk rather than cause disease deterministically. Work in this area integrates bioinformatic analysis of disease-associated SNPs and candidate genes with functional interpretation of how regulatory variants alter transcription-factor binding sites and downstream gene expression. Representative investigations examine regulatory SNPs in genes such as EPAS1 in the context of high-altitude adaptation and STAT4 in immune-mediated disease, and map coronary-disease-associated variants to proteins implicated in the pathogenesis of atherosclerosis. Complementary efforts catalogue bioinformatic resources for conditions such as diabetic nephropathy and explore the interplay of genes, inflammation, and environment in autoimmune disease. Methodologically, susceptibility studies combine genome-wide and candidate-gene association data, linkage analysis, expression quantitative trait loci, and pathway enrichment to distinguish causal loci from passengers. Understanding susceptibility architecture informs risk stratification, early screening, mechanistic insight into pathogenesis, and the prioritization of molecular targets for prevention and personalized therapeutic intervention across complex multifactorial disorders.
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