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Survey of variation in human transcription factors reveals prevalent DNA binding changes

  • Luis A. Barrera
  • , Anastasia Vedenko
  • , Jesse V. Kurland
  • , Julia M. Rogers
  • , Stephen S. Gisselbrecht
  • , Elizabeth J. Rossin
  • , Jaie Woodard
  • , Luca Mariani
  • , Kian Hong Kock
  • , Sachi Inukai
  • , Trevor Siggers
  • , Leila Shokri
  • , Raluca Gordân
  • , Nidhi Sahni
  • , Chris Cotsapas
  • , Tong Hao
  • , Song Yi
  • , Manolis Kellis
  • , Mark J. Daly
  • , Marc Vidal
  • David E. Hill, Martha L. Bulyk
  • Brigham and Women’s Hospital
  • Harvard University
  • Harvard-MIT Division of Health Sciences and Technology
  • Massachusetts Institute of Technology
  • Massachusetts General Hospital
  • Boston University
  • Duke University
  • Dana-Farber Cancer Institute
  • University of Texas MD Anderson Cancer Center
  • Yale University

Research output: Contribution to journalArticlepeer-review

144 Scopus citations

Abstract

Sequencing of exomes and genomes has revealed abundant genetic variation affecting the coding sequences of human transcription factors (TFs), but the consequences of such variation remain largely unexplored. We developed a computational, structure-based approach to evaluate TF variants for their impact on DNA binding activity and used universal protein-binding microarrays to assay sequence-specific DNA binding activity across 41 reference and 117 variant alleles found in individuals of diverse ancestries and families with Mendelian diseases.We found 77 variants in 28 genes that affect DNA binding affinity or specificity and identified thousands of rare alleles likely to alter the DNA binding activity of human sequence-specific TFs. Our results suggest that most individuals have unique repertoires of TF DNA binding activities, which may contribute to phenotypic variation.

Original languageEnglish
Pages (from-to)1450-1454
Number of pages5
JournalScience
Volume351
Issue number6280
DOIs
StatePublished - Mar 25 2016

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