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Daniel Parente, M.D., Ph.D.

Daniel Parente portrait
Assistant Professor, Family Medicine and Community Health

Professional Background

Dr. Daniel Parente is an Assistant Professor of Family Medicine and Community Health. He is a board-certified physician in Family Medicine. Dr. Parente’s main clinical role is the care of hospitalized persons. His research program is centered around improving the precision of medicine in primary care. Dr. Parente also serves as the Research Director for the Family Medicine Residency Program.

Education and Training
  • BS, Electrical Engineering, University of Illinois at Urbana-Champaign, Urbana, IL
  • BS, Engineering Physics, University of Illinois at Urbana-Champaign, Urbana, IL
  • BS, Molecular and Cellular Biology, University of Illinois at Urbana-Champaign, Urbana, IL
  • MD/PhD, Biochemistry and Molecular Biology, University of Kansas Medical Center, Kansa City, Kansas
  • Residency, Family Medicine, University of Kansas Medical Center, Kansas City, Kansas
Licensure, Accreditations & Certifications
  • Board Certification in Family Medicine, American Board of Family Medicine
  • Kansas Medical License, Kansas Board of Healing Arts
  • Missouri Medical License, Missouri Division of Professional Registration
Professional Affiliations
  • American Academy of Family Physicians, American Academy of Family Physicians, Member, 2016 - Present
  • Kansas Academy of Family Physicians, Kansas Academy of Family Physicians, Member, 2016 - Present



Dr. Parente’s research is centered around improving precision medicine in primary care. His research focuses primarily on how advanced technologies – such as machine learning or genomic technologies – can be used to improve patient outcomes. Additionally, multidisciplinary teams are needed to understand the clinical impact of novel or rare monogenic diseases. Dr. Parente has used exome sequencing to describe monogenic pathology in neurodevelopment. Finally, understanding the fundamental rules that constrain protein evolution is crucial for interpreting variants observed in patient genomes. Our interdisciplinary teams have used several model systems to interrogate these fundamental rules.

If you would like to collaborate on topics within precision medicine, genomic medicine, preventive care or understanding the evolutionary architecture of protein function, Dr. Parente would love to hear from you. Please contact him at

  • Parente, Daniel., J, Ojo, Akinlolu, Gurley, Tami, LeMaster, Joseph., W, Wild, David., M, Mustafa, Reem., A. 2021. Acceptance of COVID-19 vaccination among healthcare personnel. J AM Board Family Medicine
  • Parente, Daniel., J. 2020. PolyBoost: An enhanced genomic variant classifier using extreme gradient boosting. Proteomics: Clinical Applications
  • Parente, D., J. 2020. BRCA-Related Cancer Genetic Counseling is Indicated in Many Women Seeking Primary Care.. Journal of the American Board of Family Medicine : JABFM, 33 (6), 885-893
  • Parente, D., J, Morris, S., M, McKinstry, R., C, Brandt, T, Gabau, E, Ruiz, A, Shinawi, M. 2020. Sorting nexin 27 (SNX27) variants associated with seizures, developmental delay, behavioral disturbance, and subcortical brain abnormalities.. Clinical genetics, 97 (3), 437-446
  • Martin, T., A, Wu, T, Tang, Q, Dougherty, L., L, Parente, D., J, Swint-Kruse, L, Fenton, A., W. 2020. Identification of biochemically neutral positions in liver pyruvate kinase.. Proteins, 88 (10), 1340-1350
  • Parente, D., J, Garriga, C, Baskin, B, Douglas, G, Cho, M., T, Araujo, G., C, Shinawi, M. 2017. Neuroligin 2 nonsense variant associated with anxiety, autism, intellectual disability, hyperphagia, and obesity.. American journal of medical genetics. Part A, 173 (1), 213-216
  • Sousa, F., L, Parente, D., J, Shis, D., L, Hessman, J., A, Chazelle, A, Bennett, M., R, Teichmann, S., A, Swint-Kruse, L. 2016. AlloRep: A Repository of Sequence, Structural and Mutagenesis Data for the LacI/GalR Transcription Regulators.. Journal of molecular biology, 428 (4), 671-678
  • Parente, D., J, Ray, J., C, Swint-Kruse, L. 2015. Amino acid positions subject to multiple coevolutionary constraints can be robustly identified by their eigenvector network centrality scores.. Proteins, 83 (12), 2293-306
  • Parente, D., J, Swint-Kruse, L. 2013. Multiple co-evolutionary networks are supported by the common tertiary scaffold of the LacI/GalR proteins.. PloS one, 8 (12), e84398
  • Tungtur, S, Parente, D., J, Swint-Kruse, L. 2011. Functionally important positions can comprise the majority of a protein's architecture.. Proteins, 79 (5), 1589-608