Symposium Speaker: Ky’Era Actkins, BS

Ky'Era Actkins is a graduate student in Biomedical Sciences at Meharray Medical College in Nashville, TN. Ky'Era earned a Bachelor's of Science at the University of Alabama majoring in Biology. Ky'Era is a graduate student in the laboratory of Dr. Lea Davis at Vanderbilt University Medical Center as part of the Meharry-Vanderbilt Alliance, and she is interested in using computational genomics to study health disparities with a focus on reproductive health.  Her research currently focuses on polycystic ovary syndrome (PCOS), where she as part of the electronic Medical Records & Genomics (eMERGE) Network have developed computable phenotyping approaches to identify cases of PCOS for downstream genomic studies.  Ky'Era is also interested in diversity in research, and she is currently a member of the American Society of Human Genetics Diversity & Inclusion Task Force.

 

Recent Publications

  1. Actkins, KV, Beasley, HK, Faucon, AB, Davis, LK, Sakwe, AM. Calcium-Sensing Receptor Polymorphisms at rs1801725 Are Associated with Increased Risk of Secondary Malignancies. J Pers Med 2021; 11 (7): . PubMed PMID:34357109 PubMed Central PMC8304025.
  2. Actkins, KV, Srinivasan, S, Spees, LP, Turbitt, E, Allen, CG, Roberts, MC. Uptake of Genetic Testing Among Patients with Cancer At Risk for Lynch Syndrome in the National Health Interview Survey. Cancer Prev Res (Phila) 2021; 14 (10): 927-932. PubMed PMID:34341014 PubMed Central PMC8492535.
  3. Dennis, JK, Sealock, JM, Straub, P, Lee, YH, Hucks, D, Actkins, K, Faucon, A, Feng, YA, Ge, T, Goleva, SB et al.. Clinical laboratory test-wide association scan of polygenic scores identifies biomarkers of complex disease. Genome Med 2021; 13 (1): 6. PubMed PMID:33441150 PubMed Central PMC7807864.
  4. Actkins, KV, Singh, K, Hucks, D, Velez Edwards, DR, Aldrich, M, Cha, J, Wellons, M, Davis, LK. Characterizing the Clinical and Genetic Spectrum of Polycystic Ovary Syndrome in Electronic Health Records. J Clin Endocrinol Metab 2021; 106 (1): 153-167. PubMed PMID:32961557 PubMed Central PMC7765638.
  5. Zhang, Y, Ho, K, Keaton, JM, Hartzel, DN, Day, F, Justice, AE, Josyula, NS, Pendergrass, SA, Actkins, K, Davis, LK et al.. A genome-wide association study of polycystic ovary syndrome identified from electronic health records. Am J Obstet Gynecol 2020; 223 (4): 559.e1-559.e21. PubMed PMID:32289280 .
  6. Joo, YY, Actkins, K, Pacheco, JA, Basile, AO, Carroll, R, Crosslin, DR, Day, F, Denny, JC, Velez Edwards, DR, Hakonarson, H et al.. A Polygenic and Phenotypic Risk Prediction for Polycystic Ovary Syndrome Evaluated by Phenome-Wide Association Studies. J Clin Endocrinol Metab 2020; 105 (6): 1918-36. PubMed PMID:31917831 PubMed Central PMC7453038.
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