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How Computational Experiments Can Improve Our Understanding of the Genetic Architecture of Common Human Diseases.

Artificial life - 1 Jan 2020

Moore Jason H, Olson Randal S, Schmitt Peter, Chen Yong, Manduchi Elisabetta

Abstract excerpt

Susceptibility to common human diseases such as cancer is influenced by many genetic and environmental factors that work together in a complex manner. The state of the art is to perform a genome-wide association study (GWAS) that measures millions of single-nucleotide polymorphisms (SNPs) throughout the genome followed by a one-SNP-at-a-time statistical analysis to detect univariate associations. This approach...

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PMID: 32027528
DOI: 10.1162/artl_a_00308

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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