A general calculus of fitness landscapes finds genes under selection in cancers

Teng Kuei Hsu, Jennifer Asmussen, Amanda Koire, Byung Kwon Choi, Mayur A. Gadhikar, Eunna Huh, Chih Hsu Lin, Daniel M. Konecki, Young Won Kim, Curtis R. Pickering, Marek Kimmel, Lawrence A. Donehower, Mitchell J. Frederick, Jeffrey N. Myers, Panagiotis Katsonis, Olivier Lichtarge

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Genetic variants drive the evolution of traits and diseases. We previously modeled these variants as small displacements in fitness landscapes and estimated their functional impact by differentiating the evolutionary relationship between genotype and phenotype. Conversely, here we integrate these derivatives to identify genes steering specific traits. Over cancer cohorts, integration identified 460 likely tumor-driving genes. Many have literature and experimental support but had eluded prior genomic searches for positive selection in tumors. Beyond providing cancer insights, these results introduce a general calculus of evolution to quantify the genotype-phenotype relationship and discover genes associated with complex traits and diseases.

Original languageEnglish (US)
Pages (from-to)916-929
Number of pages14
JournalGenome research
Volume32
Issue number5
DOIs
StatePublished - May 2022

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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