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Genotype inference from aggregated chromatin accessibility data reveals genetic regulatory mechanisms.

Brandon M WenzYuan HeNae-Chyun ChenJoseph K PickrellJeremiah H LiMax F DudekTaibo LiRebecca KeenerBenjamin F VoightChristopher D BrownAlexis Battle
Published in: bioRxiv : the preprint server for biology (2024)
Our work provides a proof of principle for caQTL calling from previously ungenotyped samples, and represents one of the largest, most diverse caQTL resources currently available, informing mechanisms of genetic regulation of gene expression and contribution to disease.
Keyphrases
  • gene expression
  • genome wide
  • dna methylation
  • transcription factor
  • copy number
  • dna damage
  • electronic health record
  • single cell
  • artificial intelligence
  • data analysis