DANA C. CRAWFORD, PHD
Associate Director for Population and Diversity Research
Dana Crawford, PhD, is Professor in the Department of Population and Quantitative Health Sciences and Associate Director for Population and Diversity Research in the Cleveland Institute for Computational Biology. She also has a secondary appointment in the Department of Genetics and Genome Sciences. Dr. Crawford received her Ph.D. at Emory University in genetics and molecular biology in 2000 and then trained as a post-doctoral fellow as an Epidemic Intelligence Service Officer at the Centers for Disease Control and Prevention (2000–2002) and as a senior fellow at the University of Washington’s Department of Genome Sciences (2002–2006). Prior to her most current position, Dr. Crawford spent eight years as tenure-track faculty in the Department of Molecular Physiology and Biophysics and Investigator in the Center for Human Genetics Research at Vanderbilt University. As a genetic epidemiologist at CWRU, Dr. Crawford’s broad research interests include applying genetic variation data to large-scale epidemiologic and clinical cohorts to better understand human genotype-phenotype associations with an emphasis on diverse populations.
- Cooke Bailey, JN, Bush, WS, Crawford, DC. Editorial: The Importance of Diversity in Precision Medicine Research. Front Genet 2020; 11 : 875. PubMed PMID:33005167 PubMed Central PMC7479241.
- Ong, E, Wang, LL, Schaub, J, O'Toole, JF, Steck, B, Rosenberg, AZ, Dowd, F, Hansen, J, Barisoni, L, Jain, S et al.. Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project. Nat Rev Nephrol 2020; 16 (11): 686-696. PubMed PMID:32939051 .
- Karunamuni, RA, Huynh-Le, MP, Fan, CC, Thompson, W, Eeles, RA, Kote-Jarai, Z, Muir, K, UKGPCS Collaborators, Lophatananon, A, Tangen, CM et al.. African-specific improvement of a polygenic hazard score for age at diagnosis of prostate cancer. Int J Cancer 2020; : . PubMed PMID:32930425 .
- McDonough, CW, Babcock, K, Chucri, K, Crawford, DC, Bian, J, Modave, F, Cooper-DeHoff, RM, Hogan, WR. Optimizing identification of resistant hypertension: Computable phenotype development and validation. Pharmacoepidemiol Drug Saf 2020; 29 (11): 1393-1401. PubMed PMID:32844549 .
- Darst, BF, Wan, P, Sheng, X, Bensen, JT, Ingles, SA, Rybicki, BA, Nemesure, B, John, EM, Fowke, JH, Stevens, VL et al.. A Germline Variant at 8q24 Contributes to Familial Clustering of Prostate Cancer in Men of African Ancestry. Eur Urol 2020; 78 (3): 316-320. PubMed PMID:32409115 .
- 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.
- Crawford, DC, Lin, J, Cooke Bailey, JN, Kinzy, T, Sedor, JR, O'Toole, JF, Bush, WS. Frequency of ClinVar Pathogenic Variants in Chronic Kidney Disease Patients Surveyed for Return of Research Results at a Cleveland Public Hospital. Pac Symp Biocomput 2020; 25 : 575-586. PubMed PMID:31797629 PubMed Central PMC6931908.
- Bush, WS, Cooke Bailey, JN, Beno, MF, Crawford, DC. Bridging the Gaps in Personalized Medicine Value Assessment: A Review of the Need for Outcome Metrics across Stakeholders and Scientific Disciplines. Public Health Genomics 2019; 22 (1-2): 16-24. PubMed PMID:31454805 PubMed Central PMC6752968.
- Halladay, CW, Hadi, T, Anger, MD, Greenberg, PB, Sullivan, JM, Konicki, PE, Peachey, NS, Igo, RP Jr, Iyengar, SK, Wu, WC et al.. Genetically-guided algorithm development and sample size optimization for age-related macular degeneration cases and controls in electronic health records from the VA Million Veteran Program. AMIA Jt Summits Transl Sci Proc 2019; 2019 : 153-162. PubMed PMID:31258967 PubMed Central PMC6568141.
- Crawford, DC, Cooke Bailey, JN, Briggs, FBS. Mind the gap: resources required to receive, process and interpret research-returned whole genome data. Hum Genet 2019; 138 (7): 691-701. PubMed PMID:31161416 PubMed Central PMC6767905.
Sarah A. Pendergrass and Dana C. Crawford Electronic health records contain patient-level data collected during and for clinical care. Data within the electronic health record include diagnostic billing codes, procedure codes, vital signs, laboratory test results, clinical imaging, and physician notes. With repeated clinic visits, these data are longitudinal, providing important information on disease development, […]
Local genetic ancestry in CDKN2B-AS1 is associated with primary open-angle glaucoma in an African American cohort extracted from de-identified electronic health records.
Restrepo NA, Laper S, Farber-Eger E, Crawford DC. Glaucoma is a leading cause of blindness in developed countries. Primary open-angle glaucoma (POAG), the most prevalent clinical subtype of glaucoma in the United States, affects African Americans at a higher rate compared with European Americans. Risk factors identified for POAG include increased age and family history, […]
Reducing Clinical Noise for Body Mass Index Measures Due to Unit and Transcription Errors in the Electronic Health Record.
Goodloe R, Farber-Eger E, Boston J, Crawford DC, Bush WS,. Body mass index (BMI) is an important outcome and covariate adjustment for many clinical association studies. Accurate assessment of BMI, therefore, is a critical part of many study designs. Electronic health records (EHRs) are a growing source of clinical data for research purposes, and have […]
Fine-mapping of lipid regions in global populations discovers ethnic-specific signals and refines previously identified lipid loci.
Zubair N, Graff M, Luis Ambite J, Bush WS, Kichaev G, Lu Y, Manichaikul A, Sheu WH, Absher D, Assimes TL, Bielinski SJ, Bottinger EP, Buzkova P, Chuang LM, Chung RH, Cochran B, Dumitrescu L, Gottesman O, Haessler JW, Haiman C, Heiss G, Hsiung CA, Hung YJ, Hwu CM, Juang JJ, Le Marchand L, Lee […]
Dana on Twitter
Humbled to be named alongside such brilliant human genetics and genomics colleagues in this year's AAAS Fellows list. Thanks to all those who trained and support me @emorygmb @uwgenome @GeneticsSociety @Cleveland_ICB @CWRUSOM twitter.com/aaas/status/13…
I missed the talk but was able to join the Q&A. Excellent career advice and nothing but the COVID scientific facts from @KizzyPhD on emerging vaccine efficacy data, SARS-CoV-2 mutation rates, and more at #ABRCMS2020 twitter.com/FutureDrSLove/…
Congrats to @CWRUSOM's @a_k_miller, @scottwilliams9, and @BuchnerLab for being selected for a platform presentation at the upcoming #ASHG2020! Looking forward to the epistasis talk at 10:45am ET on 10/28 (abstract 1124).— Dana Crawford (@CaturDNA) September 10, 2020