Andrew Dahl

Assistant Professor
Websites
Research Summary
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.
Keywords
Genetic Heterogeneity, Disease Subtypes, Heritability, Asthma Genetics, Psychiatric Genetics, Epistasis, Confounder Correction, Functional Genomics
Education
  • Oxford, PhD Gen Med and Stats 10/2016
  • UChicago, MS Stats 06/2012
  • UChicago, Hon BS Math 06/2012
  • UChicago, BA Econ 06/2012
Biosciences Graduate Program Association
Awards & Honors
  • 2012 - 2016 Wellcome Trust Studentship Oxford
  • 2012 - Phi Beta Kappa UChicago
Publications
  1. Dahl A, Zaitlen N. Genetic Influences on Disease Subtypes. Annu Rev Genomics Hum Genet. 2020 08 31; 21:413-435. View in: PubMed

  2. Liu X, Mefford JA, Dahl A, He Y, Subramaniam M, Battle A, Price AL, Zaitlen N. GBAT: a gene-based association test for robust detection of trans-gene regulation. Genome Biol. 2020 08 24; 21(1):211. View in: PubMed

  3. Keys KL, Mak ACY, White MJ, Eckalbar WL, Dahl AW, Mefford J, Mikhaylova AV, Contreras MG, Elhawary JR, Eng C, Hu D, Huntsman S, Oh SS, Salazar S, Lenoir MA, Ye JC, Thornton TA, Zaitlen N, Burchard EG, Gignoux CR. On the cross-population generalizability of gene expression prediction models. PLoS Genet. 2020 08; 16(8):e1008927. View in: PubMed

  4. Steinsaltz D, Dahl A, Wachter KW. On Negative Heritability and Negative Estimates of Heritability. Genetics. 2020 06; 215(2):343-357. View in: PubMed

  5. 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. View in: PubMed

  6. 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. View in: PubMed

  7. 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. View in: PubMed

  8. 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. View in: PubMed

  9. Steinsaltz D, Dahl A, Wachter KW. Statistical properties of simple random-effects models for genetic heritability. Electron J Stat. 2018; 12(1):321-356. View in: PubMed

  10. 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. View in: PubMed