Symposium Speaker: Timothy A. Thornton, PhD

Dr. Thornton is Associate Professor of Biostatistics at the University of Washington (UW) and an Affiliate Investigator at the Fred Hutchinson Cancer Research Center.  Dr. Thornton's research involves the development and application of statistical methods for the analysis of large-scale genomic data for the identification of genetic variants that influence complex diseases and quantitative traits. Currently, Dr. Thornton's collaborative research is largely focused on using statistical methods to identify novel genetic variants for complex traits in ancestrally diverse populations, including underrepresented minority populations in the U.S., including African Americans, Latinos, and American Indian and Alaska Native (AI/AN) populations.   Dr. Thornton currently serves as a lead statistician and co-investigator for Hispanic Community Health Study (HCHS)/Study of Latinos (SOL), and this cohort was recently included in the multi-cohort Population Architecture using Genomics and Epidemiology (PAGE) II study.

Recent Publications

  1. Sun, KY, Bai, X, Chen, S, Bao, S, Zhang, C, Kapoor, M, Backman, J, Joseph, T, Maxwell, E, Mitra, G et al.. A deep catalogue of protein-coding variation in 983,578 individuals. Nature 2024; : . PubMed PMID:38768635 .
  2. Grinde, KE, Browning, BL, Reiner, AP, Thornton, TA, Browning, SR. Adjusting for principal components can induce spurious associations in genome-wide association studies in admixed populations. bioRxiv 2024; : . PubMed PMID:38617337 PubMed Central PMC11014513.
  3. Ziyatdinov, A, Torres, J, Alegre-Díaz, J, Backman, J, Mbatchou, J, Turner, M, Gaynor, SM, Joseph, T, Zou, Y, Liu, D et al.. Author Correction: Genotyping, sequencing and analysis of 140,000 adults from Mexico City. Nature 2024; 626 (8001): E18. PubMed PMID:38332034 PubMed Central PMC10901729.
  4. Sun, Q, Rowland, BT, Chen, J, Mikhaylova, AV, Avery, C, Peters, U, Lundin, J, Matise, T, Buyske, S, Tao, R et al.. Improving polygenic risk prediction in admixed populations by explicitly modeling ancestral-differential effects via GAUDI. Nat Commun 2024; 15 (1): 1016. PubMed PMID:38310129 PubMed Central PMC10838303.
  5. Leung, YY, Naj, AC, Chou, YF, Valladares, O, Schmidt, M, Hamilton-Nelson, K, Wheeler, N, Lin, H, Gangadharan, P, Qu, L et al.. Human whole-exome genotype data for Alzheimer's disease. Nat Commun 2024; 15 (1): 684. PubMed PMID:38263370 PubMed Central PMC10805795.
  6. Gelfman, S, Moscati, A, Huergo, SM, Wang, R, Rajagopal, V, Parikshak, N, Pounraja, VK, Chen, E, Leblanc, M, Hazlewood, R et al.. A large meta-analysis identifies genes associated with anterior uveitis. Nat Commun 2023; 14 (1): 7300. PubMed PMID:37949852 PubMed Central PMC10638276.
  7. Ziyatdinov, A, Torres, J, Alegre-Díaz, J, Backman, J, Mbatchou, J, Turner, M, Gaynor, SM, Joseph, T, Zou, Y, Liu, D et al.. Genotyping, sequencing and analysis of 140,000 adults from Mexico City. Nature 2023; 622 (7984): 784-793. PubMed PMID:37821707 PubMed Central PMC10600010.
  8. Tsegaselassie, W, Jian, Y, Berhanu, GG, Tianyuan, L, April, M, Tali, E, Fasil, TA, Timothy, TA, Jordana, C, Marguerite, IR et al.. Associations of cardiometabolic polygenic risk scores with cardiovascular disease in African Americans. Res Sq 2023; : . PubMed PMID:37693576 PubMed Central PMC10491340.
  9. Recto, K, Kachroo, P, Huan, T, Van Den Berg, D, Lee, GY, Bui, H, Lee, DH, Gereige, J, Yao, C, Hwang, SJ et al.. Epigenome-wide DNA methylation association study of circulating IgE levels identifies novel targets for asthma. EBioMedicine 2023; 95 : 104758. PubMed PMID:37598461 PubMed Central PMC10462855.
  10. Leal, TP, Rao, SC, French-Kwawu, JN, Gouveia, MH, Borda, V, Bandres-Ciga, S, Inca-Martinez, M, Mason, EA, Horimoto, ARVR, Loesch, DP et al.. X-Chromosome Association Study in Latin American Cohorts Identifies New Loci in Parkinson's Disease. Mov Disord 2023; 38 (9): 1625-1635. PubMed PMID:37469269 PubMed Central PMC10524402.
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The Thornton Lab Website

Curriculum vitae