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Last Name

Andrew Dahl

TitleAssistant Professor
InstitutionUniversity of Chicago
DepartmentMedicine-Genetic Medicine
AddressChicago IL 60637
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    Collapse Overview 
    Collapse overview
    Our group focuses on computational approaches to discover and characterize novel subtypes of complex diseases. Our long-term goal is to advance precision treatment by identifying disease subtypes with distinct biological etiology, clinical presentation, and/or treatment responses. Our subtyping methods build on basic tools from statistical genetics, functional genomics, and linear algebra. We also develop methods for gene-environment interaction, gene-gene interaction, pleiotropy, and confounder correction, which can be invaluable for characterizing subtypes. We apply these methods to disease areas with dramatic and under-characterized heterogeneity. Currently we focus on asthma, psychiatry, and single cell genomics.

    Collapse Biography 
    Collapse education and training
    OxfordPhD10/2016Gen Med and Stats
    UChicagoHon BS06/2012Math
    Collapse awards and honors
    2012 - 2016Wellcome Trust Studentship, Oxford
    2012Phi Beta Kappa, UChicago

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    Collapse Bibliographic 
    Collapse selected publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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    1. Steinsaltz D, Dahl A, Wachter KW. On Negative Heritability and Negative Estimates of Heritability. Genetics. 2020 Jun; 215(2):343-357. PMID: 32291292.
      View in: PubMed
    2. Dahl A, Nguyen K, Cai N, Gandal MJ, Flint J, Zaitlen N. A Robust Method Uncovers Significant Context-Specific Heritability in Diverse Complex Traits. Am J Hum Genet. 2020 01 02; 106(1):71-91. PMID: 31901249.
      View in: PubMed
    3. Hernandez RD, Uricchio LH, Hartman K, Ye C, Dahl A, Zaitlen N. Ultrarare variants drive substantial cis heritability of human gene expression. Nat Genet. 2019 09; 51(9):1349-1355. PMID: 31477931.
      View in: PubMed
    4. Dahl A, Cai N, Ko A, Laakso M, Pajukanta P, Flint J, Zaitlen N. Reverse GWAS: Using genetics to identify and model phenotypic subtypes. PLoS Genet. 2019 04; 15(4):e1008009. PMID: 30951530.
      View in: PubMed
    5. Dahl A, Guillemot V, Mefford J, Aschard H, Zaitlen N. Adjusting for Principal Components of Molecular Phenotypes Induces Replicating False Positives. Genetics. 2019 04; 211(4):1179-1189. PMID: 30692194.
      View in: PubMed
    6. Steinsaltz D, Dahl A, Wachter KW. Statistical properties of simple random-effects models for genetic heritability. Electron J Stat. 2018; 12(1):321-356. PMID: 30057658.
      View in: PubMed
    7. Dahl A, Iotchkova V, Baud A, Johansson Å, Gyllensten U, Soranzo N, Mott R, Kranis A, Marchini J. A multiple-phenotype imputation method for genetic studies. Nat Genet. 2016 Apr; 48(4):466-72. PMID: 26901065.
      View in: PubMed
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