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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
  • Baylor College of Medicine
  • University of Texas Health Science Center at Houston
  • Rice University

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

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
Pages (from-to)916-929
Number of pages14
JournalGenome Research
Volume32
Issue number5
DOIs
Publication statusPublished - May 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus subject areas

  • Genetics
  • Genetics (clinical)

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