Past Crew Member: Janina M. Jeff, PhD, MS

Previous Positions

Crawford Graduate Student (2007-2012)

Crawford Post-Doctoral Fellow (2012-2013)

Post-Doctoral Fellow at the Icahn School of Medicine at Mount Sinai (2013-2015)

Current Position

Global Bioinformatics Specialist, Illumina (2015-present)

In Those Genes podcast, founder (2019-present) and ASHG Advocacy Awardee (2020)

Research Interests

As a genetic epidemiologist, Janina has an interest in identifying genetic variants that explain disease disparities observed across populations.  Janina has applied her interests to several common human diseases and traits including quantitative cardiovascular traits, anthropometric traits, hematological traits, reproductive outcomes, chronic kidney disease, type 2 diabetes, and pharmacogenomics in highly structured admixed populations such as African Americans and Hispanics.  Janina has developed approaches to extract data from a series of clinical data warehouses to define novel clinical phenotypes, for example extracting real-time physiologic response to short acting catacholamines administered during surgery for pharmacogenomic studies.

Recent Publications

  1. Katebi, N, Bremer, W, Nguyen, T, Phan, D, Jeff, J, Armstrong, K, Phabian-Millbrook, P, Platner, M, Carroll, K, Shoai, B et al.. Automated image transcription for perinatal blood pressure monitoring using mobile health technology. PLOS Digit Health 2024; 3 (10): e0000588. PubMed PMID:39356720 PubMed Central PMC11446426.
  2. Bandres-Ciga, S, Faghri, F, Majounie, E, Koretsky, MJ, Kim, J, Levine, KS, Leonard, H, Makarious, MB, Iwaki, H, Crea, PW et al.. NeuroBooster Array: A Genome-Wide Genotyping Platform to Study Neurological Disorders Across Diverse Populations. Mov Disord 2024; 39 (11): 2039-2048. PubMed PMID:39283294 PubMed Central PMC11568947.
  3. Bandres-Ciga, S, Faghri, F, Majounie, E, Koretsky, MJ, Kim, J, Levine, KS, Leonard, H, Makarious, MB, Iwaki, H, Crea, PW et al.. NeuroBooster Array: A Genome-Wide Genotyping Platform to Study Neurological Disorders Across Diverse Populations. medRxiv 2023; : . PubMed PMID:37986980 PubMed Central PMC10659467.
  4. Lewis, ACF, Molina, SJ, Appelbaum, PS, Dauda, B, Fuentes, A, Fullerton, SM, Garrison, NA, Ghosh, N, Green, RC, Hammonds, EM et al.. An Ethical Framework for Research Using Genetic Ancestry. Perspect Biol Med 2023; 66 (2): 225-248. PubMed PMID:37755714 .
  5. Wiley, K, Findley, L, Goldrich, M, Rakhra-Burris, TK, Stevens, A, Williams, P, Bult, CJ, Chisholm, R, Deverka, P, Ginsburg, GS et al.. A research agenda to support the development and implementation of genomics-based clinical informatics tools and resources. J Am Med Inform Assoc 2022; 29 (8): 1342-1349. PubMed PMID:35485600 PubMed Central PMC9277642.
  6. Wenric, S, Jeff, JM, Joseph, T, Yee, MC, Belbin, GM, Owusu Obeng, A, Ellis, SB, Bottinger, EP, Gottesman, O, Levin, MA et al.. Rapid response to the alpha-1 adrenergic agent phenylephrine in the perioperative period is impacted by genomics and ancestry. Pharmacogenomics J 2021; 21 (2): 174-189. PubMed PMID:33168928 PubMed Central PMC7997806.
  7. Pendergrass, SA, Buyske, S, Jeff, JM, Frase, A, Dudek, S, Bradford, Y, Ambite, JL, Avery, CL, Buzkova, P, Deelman, E et al.. A phenome-wide association study (PheWAS) in the Population Architecture using Genomics and Epidemiology (PAGE) study reveals potential pleiotropy in African Americans. PLoS One 2019; 14 (12): e0226771. PubMed PMID:31891604 PubMed Central PMC6938343.
  8. Edwards, TL, Giri, A, Hellwege, JN, Hartmann, KE, Stewart, EA, Jeff, JM, Bray, MJ, Pendergrass, SA, Torstenson, ES, Keaton, JM et al.. A Trans-Ethnic Genome-Wide Association Study of Uterine Fibroids. Front Genet 2019; 10 : 511. PubMed PMID:31249589 PubMed Central PMC6582231.
  9. Wojcik, GL, Graff, M, Nishimura, KK, Tao, R, Haessler, J, Gignoux, CR, Highland, HM, Patel, YM, Sorokin, EP, Avery, CL et al.. Genetic analyses of diverse populations improves discovery for complex traits. Nature 2019; 570 (7762): 514-518. PubMed PMID:31217584 PubMed Central PMC6785182.
  10. Fernández-Rhodes, L, Malinowski, JR, Wang, Y, Tao, R, Pankratz, N, Jeff, JM, Yoneyama, S, Carty, CL, Setiawan, VW, Le Marchand, L et al.. The genetic underpinnings of variation in ages at menarche and natural menopause among women from the multi-ethnic Population Architecture using Genomics and Epidemiology (PAGE) Study: A trans-ethnic meta-analysis. PLoS One 2018; 13 (7): e0200486. PubMed PMID:30044860 PubMed Central PMC6059436.
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Janina on Twitter

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The Jeff Lab Website

Curriculum Vitae