Kristen Wade, PhD

Title(s)Postdoctoral Scholar, Neurology
SchoolSchool of Medicine
Address35 Medical Center Way, #1038
San Francisco CA 94143
Phone--
Emailkristen.wade@ucsf.edu
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    Collapse Education and Training
    Virginia Commonwealth University, Richmond, VABS12/2014Bioinformatics
    CU Denver-Anschutz, Aurora, COPhD05/2022Human Medical Genetics and Genomics
    UC San Francisco, San Francisco, CANeurology/Immunology/Genetics

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    Dr. Kristen Wade’s scientific motivation is to contribute novel, interdisciplinary and evolutionarily-grounded models for understanding complex genetic traits. Her Bachelor of Science degree in Bioinformatics obtained at Virginia Commonwealth University in 2014 has prepared her for the technical challenges of working with large genomics datasets. Her additional bench research training in molecular genetics during that time has provided her with a well-rounded grasp of the phenotypic implications and functional interpretations of disease associated variation. As a predoctoral student in the laboratory of Dr. David Pollock at CU Denver-Anschutz, she pursued rigorous, computational thesis work in evolutionary genomics. Her thesis work focused on understanding evolutionary patterns of the non-coding and repetitive content of the genome, which undergo significantly different selective pressures than coding regions. This experience thoroughly prepared Dr. Wade to engage with non-coding disease variation, which comprise the majority of GWAS signals. In addition to her thesis work, she participated in variety of collaborations across genetic disciplines, which have provided her with a highly interdisciplinary understanding of genomic variation and its functional implications in disease. In 2022 she successfully defended her thesis entitled: “Homology unleashed: non-parametric and alignment-free methods for understanding genome evolution”. She began her postdoctoral work with Dr. Jill Hollenbach at University of California, San Francisco, in 2022. Here, she has continued to expand her boundaries and gained expertise in new bioinformatics methods, implementing de novo genome assembly and linear models of association, as well as receiving training in neurobiology and autoimmune diseases. This diversity of experience, across multiple specialties, makes Dr. Wade uniquely suited to pursue integrative genetic mapping and modelling of complex trait-associated variation. Her background and training have prepared her to participate in the frontier of genetics research and her computational bioinformatics experience makes her well-equipped to contribute novel solutions.

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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help. to make corrections and additions.
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    Altmetrics Details PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. High-throughput complement component 4 genomic sequence analysis with C4Investigator. bioRxiv. 2023 Jul 19. Marin WM, Augusto DG, Wade KJ, Hollenbach JA. PMID: 37503256; PMCID: PMC10370142.
      View in: PubMed   Mentions:
    2. A Predictive Autoantibody Signature in Multiple Sclerosis. medRxiv. 2023 May 15. Zamecnik CR, Sowa GM, Abdelhak A, Dandekar R, Bair RD, Wade KJ, Bartley CM, Tubati A, Gomez R, Fouassier C, Gerungan C, Alexander J, Wapniarski AE, Loudermilk RP, Eggers EL, Zorn KC, Ananth K, Jabassini N, Mann SA, Ragan NR, Santaniello A, Henry RG, Baranzini SE, Zamvil SS, Bove RM, Guo CY, Gelfand JM, Cuneo R, von Büdingen HC, Oksenberg JR, Cree BA, Hollenbach JA, Green AJ, Hauser SL, Wallin MT, DeRisi JL, Wilson MR. PMID: 37205595; PMCID: PMC10187343.
      View in: PubMed   Mentions:
    3. Phylodynamics of a regional SARS-CoV-2 rapid spreading event in Colorado in late 2020. PLoS One. 2022; 17(10):e0274050. Wade KJ, Tisa S, Barrington C, Henriksen JC, Crooks KR, Gignoux CR, Almand AT, Steel JJ, Sitko JC, Rohrer JW, Wickert DP, Almand EA, Pollock DD, Rissland OS. PMID: 36194597; PMCID: PMC9531818.
      View in: PubMed   Mentions:    Fields:    Translation:HumansCells
    4. Integrating genomic and epidemiologic data to accelerate progress toward schistosomiasis elimination. Elife. 2022 08 30; 11. Lund AJ, Wade KJ, Nikolakis ZL, Ivey KN, Perry BW, Pike HNC, Paull SH, Liu Y, Castoe TA, Pollock DD, Carlton EJ. PMID: 36040013; PMCID: PMC9427098.
      View in: PubMed   Mentions: 1     Fields:    Translation:AnimalsPHPublic Health
    5. The Disordered Spindly C-terminus Interacts with RZZ Subunits ROD-1 and ZWL-1 in the Kinetochore through the Same Sites in C. Elegans. J Mol Biol. 2021 02 19; 433(4):166812. Henen MA, Myers W, Schmitt LR, Wade KJ, Born A, Nichols PJ, Vögeli B. PMID: 33450249; PMCID: PMC7870574.
      View in: PubMed   Mentions: 7     Fields:    Translation:HumansAnimalsCells
    6. Mology: A fast, general synteny detection engine. bioRxiv. 2021. Ahrens, J.A., Wade, K.J., Pollock, D.D. View Publication.
    7. Viral CpG Deficiency Provides No Evidence That Dogs Were Intermediate Hosts for SARS-CoV-2. Mol Biol Evol. 2020 09 01; 37(9):2706-2710. Pollock DD, Castoe TA, Perry BW, Lytras S, Wade KJ, Robertson DL, Holmes EC, Boni MF, Kosakovsky Pond SL, Parry R, Carlton EJ, Wood JLN, Pennings PS, Goldstein RA. PMID: 32658964; PMCID: PMC7454803.
      View in: PubMed   Mentions: 11     Fields:    Translation:HumansAnimalsCellsPHPublic Health
    8. Development of a tissue augmented Bayesian model for expression quantitative trait loci analysis. Math Biosci Eng. 2019 09 26; 17(1):122-143. Zhuang YH, Wade K, Saba LM, Kechris K. PMID: 31731343; PMCID: PMC7384761.
      View in: PubMed   Mentions:    Fields:    Translation:Animals
    9. Krüppel-like transcription factors KLF1 and KLF2 have unique and coordinate roles in regulating embryonic erythroid precursor maturation. Haematologica. 2014 Oct; 99(10):1565-73. Vinjamur DS, Wade KJ, Mohamad SF, Haar JL, Sawyer ST, Lloyd JA. PMID: 25150253; PMCID: PMC4181252.
      View in: PubMed   Mentions: 6     Fields:    Translation:AnimalsCells
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