eQTL mapping using allele-specific count data is computationally feasible, powerful, and provides individual-specific estimates of genetic effects

• Vasyl Zhabotynsky ,

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Writing – original draft, Writing – review & editing

  * E-mail: vasyl@unc.edu (VZ); wsun@fredhutch.org (WS)

  Affiliation Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America

  https://orcid.org/0000-0003-1575-5732

  ⨯
• Licai Huang,

  Roles Data curation, Formal analysis, Software

  Affiliation Quantitative Sciences Program, The University of Texas MD Anderson Cancer Center and UTHealth Graduate School of Biomedical Sciences, Houston, Texas, United States of America

  https://orcid.org/0000-0002-5087-9661

  ⨯
• Paul Little,

  Roles Formal analysis, Methodology, Software

  Affiliation Public Health Science Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America

  https://orcid.org/0000-0002-9789-8501

  ⨯
• Yi-Juan Hu,

  Roles Conceptualization, Methodology, Writing – review & editing

  Affiliation Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, United States of America

  https://orcid.org/0000-0003-2171-9041

  ⨯
• Fernando Pardo-Manuel de Villena,

  Roles Conceptualization, Writing – review & editing

  Affiliations Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, United States of America

  https://orcid.org/0000-0002-5738-5795

  ⨯
• Fei Zou,

  Roles Conceptualization, Writing – review & editing

  Affiliations Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America, Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America

  https://orcid.org/0000-0002-6637-3593

  ⨯
• Wei Sun

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Software, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: vasyl@unc.edu (VZ); wsun@fredhutch.org (WS)

  Affiliations Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America, Public Health Science Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America, Department of Biostatistics, University of Washington, Seattle, Washington, United States of America

  https://orcid.org/0000-0002-6350-1107

  ⨯