Margit Burmeister, PhD
Associate Chair, Department of Computational Medicine and Bioinformatics
Program Director, Bioinformatics Graduate Program
Professor of Human Genetics
Professor of Psychiatry
Research Professor, Michigan Neuroscience Institute
Professor of Computational Medicine and Bioinformatics
[email protected]

Available to mentor

Margit Burmeister, PhD
Professor
  • Center Memberships
  • Research Overview
  • Recent Publications
  • Center Memberships
    • Center Member
      Global REACH
    • Center Member
      Eisenberg Family Depression Center
    • Center Member
      MM-PKUHSC Joint Institute
    • Center Member
      Center for Cell Plasticity and Organ Design
    • Center Member
      Precision Health Initiative
    Research Overview

    The Burmeister identifies genes involved in brain disorders and the roles they play in disease processes, and how they interact with the environment. They have discovered numerous genes involved in neurological disorders including ataxia. Their studies of ataxias and other rare neurological disorders involve gathering genetic information from families with these disorders and performing genetic analyses. Dr. Burmeister is also on the scientific advisory board of the SCA27B foundation, as she found this ataxia gene mutation in the founding family.

    Depression and addictions are complex brain disorders in which genetics and environment interact. Current work on depression is in collaboration with Dr. Srijan Sen, the director of the University of Michigan Depression Center and a former student of Dr. Burmeister, and work on addictions primarily with Dr. Mark Greenwald at Wayne State University.

    (This multidisciplinary approach involves the collaboration of not only geneticists, but clinicians, psychologists, epidemiologists, statisticians and bioinformaticians both here and in China, where Burmeister spends several months each year teaching and conducting research. )

    Research Highlights : What is (not) in our genes. Dr. Burmeister is interested in how our genetic make-up affects our behavior, and how we may modify our behavior according to genotype. One example is chronotype, whether we are early birds or night owls - if we can, early birds would get up early and work early, and night owls late. But medical interns have to go with the hospital schedule, so can’t modify their environment. In a recent study in collaborationv with Srijan Sen and Daniel Forger and his postdoc, Jonathan Tyler, we divided medical interns in “morning” types and “evening” types based purely on their genotypes. The graph below shows that those medical interns who have a genetic predisposition to be “night owls” lost much more sleep a week after the day light saving time change than those who are genetically tending to be early birds.

    (This is just one example of how Dr. Burmeister is thinking - we shouldn’t think of most genetic predispositions as deterministic, but as giving a basis, on which often our behavior and life style can modify outcomes - so someone with a genetic predisposition to be a night owl won’t lose sleep with DST if they can adjust their schedule, someone with a genetic predisposition to diabetes can prevent getting diabetes by avoiding eating and drinking sugar, exercising, and maintaining a healthy weight, and someone with a genetic predisposition to depression may avoid getting a depressive episode by avoiding alcohol and illicit drug use and stress. )

    To read more please visit https://rdcu.be/cpfvZ

    The Burmeister identifies genes involved in brain disorders and the roles they play in disease processes, and how they interact with the environment. They have discovered numerous genes involved in neurological disorders including ataxia. Their studies of ataxias and other rare neurological disorders involve gathering genetic information from families with these disorders and performing genetic analyses. Dr. Burmeister is also on the scientific advisory board of the SCA27B foundation, as she found this ataxia gene mutation in the founding family.

    Depression and addictions are complex brain disorders in which genetics and environment interact. Current work on depression is in collaboration with Dr. Srijan Sen, the director of the University of Michigan Depression Center and a former student of Dr. Burmeister, and work on addictions primarily with Dr. Mark Greenwald at Wayne State University.

    (This multidisciplinary approach involves the collaboration of not only geneticists, but clinicians, psychologists, epidemiologists, statisticians and bioinformaticians both here and in China, where Burmeister spends several months each year teaching and conducting research. )

    Research Highlights : What is (not) in our genes. Dr. Burmeister is interested in how our genetic make-up affects our behavior, and how we may modify our behavior according to genotype. One example is chronotype, whether we are early birds or night owls - if we can, early birds would get up early and work early, and night owls late. But medical interns have to go with the hospital schedule, so can’t modify their environment. In a recent study in collaborationv with Srijan Sen and Daniel Forger and his postdoc, Jonathan Tyler, we divided medical interns in “morning” types and “evening” types based purely on their genotypes. The graph below shows that those medical interns who have a genetic predisposition to be “night owls” lost much more sleep a week after the day light saving time change than those who are genetically tending to be early birds.

    (This is just one example of how Dr. Burmeister is thinking - we shouldn’t think of most genetic predispositions as deterministic, but as giving a basis, on which often our behavior and life style can modify outcomes - so someone with a genetic predisposition to be a night owl won’t lose sleep with DST if they can adjust their schedule, someone with a genetic predisposition to diabetes can prevent getting diabetes by avoiding eating and drinking sugar, exercising, and maintaining a healthy weight, and someone with a genetic predisposition to depression may avoid getting a depressive episode by avoiding alcohol and illicit drug use and stress. )

    To read more please visit https://rdcu.be/cpfvZ

    Recent Publications See All Publications
    • Journal Article
      Clinical, Radiological and Pathological Features of a Large American Cohort of Spinocerebellar Ataxia (SCA27B).
      Abou Chaar W, Eranki AN, Stevens HA, Watson SL, Wong DY, Avila VS, Delfeld M, Gary AJ, Tawde S, Triebold M, Cherchi M, Xie T, Lockhart PJ, Bahlo M, Pellerin D, Dicaire M-J, Danzi M, Zuchner S, Brais BC, Perlman S, Burmeister M, Paulson H, Srinivasan S, Schut L, Bower M, Bushara K, Liao C, Shakkottai VG, Collins J, Clark HB, Das S, Fogel BL, Gomez CM. Ann Neurol, 2024 Dec; 96 (6): 1092 - 1103. DOI:10.1002/ana.27060
      PMID: 39263992
    • Journal Article
      Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference.
      Meng X, Navoly G, Giannakopoulou O, Levey DF, Koller D, Pathak GA, Koen N, Lin K, Adams MJ, Rentería ME, Feng Y, Gaziano JM, Stein DJ, Zar HJ, Campbell ML, van Heel DA, Trivedi B, Finer S, McQuillin A, Bass N, Chundru VK, Martin HC, Huang QQ, Valkovskaya M, Chu C-Y, Kanjira S, Kuo P-H, Chen H-C, Tsai S-J, Liu Y-L, Kendler KS, Peterson RE, Cai N, Fang Y, Sen S, Scott LJ, Burmeister M, Loos RJF, Preuss MH, Actkins KV, Davis LK, Uddin M, Wani AH, Wildman DE, Aiello AE, Ursano RJ, Kessler RC, Kanai M, Okada Y, Sakaue S, Rabinowitz JA, Maher BS, Uhl G, Eaton W, Cruz-Fuentes CS, Martinez-Levy GA, Campos AI, Millwood IY, Chen Z, Li L, Wassertheil-Smoller S, Jiang Y, Tian C, Martin NG, Mitchell BL, Byrne EM, Awasthi S, Coleman JRI, Ripke S, PGC-MDD Working Group , China Kadoorie Biobank Collaborative Group , 23andMe Research Team , Genes and Health Research Team , BioBank Japan Project , Sofer T, Walters RG, McIntosh AM, Polimanti R, Dunn EC, Stein MB, Gelernter J, Lewis CM, Kuchenbaecker K. Nat Genet, 2024 Feb; 56 (2): 222 - 233. DOI:10.1038/s41588-023-01596-4
      PMID: 38177345
    • Journal Article
      Hypomorphic variants of SEL1L-HRD1 ER-associated degradation are associated with neurodevelopmental disorders.
      Wang HH, Lin LL, Li ZJ, Wei X, Askander O, Cappuccio G, Hashem MO, Hubert L, Munnich A, Alqahtani M, Pang Q, Burmeister M, Lu Y, Poirier K, Besmond C, Sun S, Brunetti-Pierri N, Alkuraya FS, Qi L. J Clin Invest, 2024 Jan 16; 134 (2): DOI:10.1172/JCI170054
      PMID: 37943610
    • Journal Article
      Concerns about genetic risk testing for opioid use disorder.
      Hatoum AS, Davis CN, Kember RL, Johnstone M, Oslin DW, Zinkstok JR, Burmeister M, Ethics, Position, and Public Policy Committee of the International Society of Psychiatric Genetics, Board of Directors of the International Society of Psychiatric Genetics , Agrawal A, Kranzler HR, Edenberg HJ, Gelernter J, Docherty AR, Lencz T. Lancet Psychiatry, 2024 Oct 11; DOI:10.1016/S2215-0366(24)00310-9
      PMID: 39413801
    • Journal Article
      Lack of SPNS1 results in accumulation of lysolipids and lysosomal storage disease in mouse models.
      Ha HT, Liu S, Nguyen XT, Vo LK, Leong NC, Nguyen DT, Balamurugan S, Lim PY, Wu Y, Seong E, Nguyen TQ, Oh J, Wenk MR, Cazenave-Gassiot A, Yapici Z, Ong W-Y, Burmeister M, Nguyen LN. JCI Insight, 2024 Mar 7; 9 (8): DOI:10.1172/jci.insight.175462
      PMID: 38451736
    • Journal Article
      Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial.
      Wang J, Fang Y, Frank E, Walton MA, Burmeister M, Tewari A, Dempsey W, NeCamp T, Sen S, Wu Z. NPJ Digit Med, 2023 Jan 11; 6 (1): 4 DOI:10.1038/s41746-022-00746-y
      PMID: 36631665
    • Journal Article
      Exome-wide association study of treatment-resistant depression suggests novel treatment targets.
      Shah SB, Peddada TN, Song C, Mensah M, Sung H, Yavi M, Yuan P, Zarate CA, Mickey BJ, Burmeister M, Akula N, McMahon FJ. Sci Rep, 2023 Aug 1; 13 (1): 12467 DOI:10.1038/s41598-023-38984-z
      PMID: 37528149
    • Journal Article
      Polygenic Risk and Social Support in Predicting Depression Under Stress.
      Cleary JL, Fang Y, Zahodne LB, Bohnert ASB, Burmeister M, Sen S. Am J Psychiatry, 2023 Feb 1; 180 (2): 139 - 145. DOI:10.1176/appi.ajp.21111100
      PMID: 36628515