Past Crew Member: Matthew T. Oetjens, PhD, MS

Previous Positions

Crawford Graduate Student (2009-2014)

Post-Doctoral Fellow, Department of Human Genetics, University of Michigan (2014-2017)

Bioinformatics Staff Scientist, Autism & Developmental Medicine Institute (ADMI), Geisinger Health System (2017-2019)

Current Position

Assistant Professor, Geisinger Medical Center (2020-present)

Research Interests

Matt's graduate research was focused on the utilization of an EMR-linked biorepository for pharmacogenetic studies on a wide range of drugs including clopidogrel, warfarin, calcineurin-inhibitors, and statins.  Matt's current research interests include the genetics of drug efficacy and adverse drug response, data-mining clinical data from electronic medical records, functional variation in pharmacogenes, and phenome-wide association studies.  Matt's research skills include the design of pharmacogenomic studies in an EMR-based biobank, genetic analysis of SNP data and rare variants, and experience with large datasets.

Recent Publications

  1. Deaton, AM, Parker, MM, Ward, LD, Flynn-Carroll, AO, BonDurant, L, Hinkle, G, Akbari, P, Lotta, LA, Regeneron Genetics Center, DiscovEHR Collaboration et al.. Gene-level analysis of rare variants in 379,066 whole exome sequences identifies an association of GIGYF1 loss of function with type 2 diabetes. Sci Rep 2021; 11 (1): 21565. PubMed PMID:34732801 PubMed Central PMC8566487.
  2. Ward, LD, Tu, HC, Quenneville, CB, Tsour, S, Flynn-Carroll, AO, Parker, MM, Deaton, AM, Haslett, PAJ, Lotta, LA, Verweij, N et al.. GWAS of serum ALT and AST reveals an association of SLC30A10 Thr95Ile with hypermanganesemia symptoms. Nat Commun 2021; 12 (1): 4571. PubMed PMID:34315874 PubMed Central PMC8316433.
  3. Wain, KE, Tolwinski, K, Palen, E, Heidlebaugh, AR, Holdren, K, Walsh, LK, Oetjens, MT, Ledbetter, DH, Martin, CL. Population Genomic Screening for Genetic Etiologies of Neurodevelopmental/Psychiatric Disorders Demonstrates Personal Utility and Positive Participant Responses. J Pers Med 2021; 11 (5): . PubMed PMID:34062946 PubMed Central PMC8147408.
  4. Wang, Y, Bae, T, Thorpe, J, Sherman, MA, Jones, AG, Cho, S, Daily, K, Dou, Y, Ganz, J, Galor, A et al.. Comprehensive identification of somatic nucleotide variants in human brain tissue. Genome Biol 2021; 22 (1): 92. PubMed PMID:33781308 PubMed Central PMC8006362.
  5. Kelly, MA, Leader, JB, Wain, KE, Bodian, D, Oetjens, MT, Ledbetter, DH, Martin, CL, Strande, NT. Leveraging population-based exome screening to impact clinical care: The evolution of variant assessment in the Geisinger MyCode research project. Am J Med Genet C Semin Med Genet 2021; 187 (1): 83-94. PubMed PMID:33576083 .
  6. Moreno-De-Luca, A, Millan, F, Pesacreta, DR, Elloumi, HZ, Oetjens, MT, Teigen, C, Wain, KE, Scuffins, J, Myers, SM, Torene, RI et al.. Molecular Diagnostic Yield of Exome Sequencing in Patients With Cerebral Palsy. JAMA 2021; 325 (5): 467-475. PubMed PMID:33528536 PubMed Central PMC7856544.
  7. Campbell-Salome, G, Jones, LK, Masnick, MF, Walton, NA, Ahmed, CD, Buchanan, AH, Brangan, A, Esplin, ED, Kann, DG, Ladd, IG et al.. Developing and Optimizing Innovative Tools to Address Familial Hypercholesterolemia Underdiagnosis: Identification Methods, Patient Activation, and Cascade Testing for Familial Hypercholesterolemia. Circ Genom Precis Med 2021; 14 (1): e003120. PubMed PMID:33480803 PubMed Central PMC7892261.
  8. Oetjens, MT, Luo, JZ, Chang, A, Leader, JB, Hartzel, DN, Moore, BS, Strande, NT, Kirchner, HL, Ledbetter, DH, Justice, AE et al.. Electronic health record analysis identifies kidney disease as the leading risk factor for hospitalization in confirmed COVID-19 patients. PLoS One 2020; 15 (11): e0242182. PubMed PMID:33180868 PubMed Central PMC7660530.
  9. Martin, CL, Wain, KE, Oetjens, MT, Tolwinski, K, Palen, E, Hare-Harris, A, Habegger, L, Maxwell, EK, Reid, JG, Walsh, LK et al.. Identification of Neuropsychiatric Copy Number Variants in a Health Care System Population. JAMA Psychiatry 2020; 77 (12): 1276-1285. PubMed PMID:32697297 PubMed Central PMC7376464.
  10. Oetjens, MT, Kelly, MA, Sturm, AC, Martin, CL, Ledbetter, DH. Quantifying the polygenic contribution to variable expressivity in eleven rare genetic disorders. Nat Commun 2019; 10 (1): 4897. PubMed PMID:31653860 PubMed Central PMC6814771.
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