DANA C. CRAWFORD, PHD
Assistant Director for Population and Diversity Research
Dana Crawford, PhD, is Associate Professor in the Departments of Population and Quantitative Health Sciences (primary) and Genetics and Genome Sciences (secondary) and Assistant Director for Population and Diversity Research in the Cleveland Institute for Computational Biology. 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 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.
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 […]
- 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.
- Hollister, BM, Farber-Eger, E, Aldrich, MC, Crawford, DC. A Social Determinant of Health May Modify Genetic Associations for Blood Pressure: Evidence From a SNP by Education Interaction in an African American Population. Front Genet 2019; 10 : 428. PubMed PMID:31134134 PubMed Central PMC6523518.
- Pendergrass, SA, Crawford, DC. Using Electronic Health Records To Generate Phenotypes For Research. Curr Protoc Hum Genet 2019; 100 (1): e80. PubMed PMID:30516347 PubMed Central PMC6318047.
- Restrepo, NA, Laper, SM, Farber-Eger, E, Crawford, DC. 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. BMC Med Genomics 2018; 11 (Suppl 3): 70. PubMed PMID:30255811 PubMed Central PMC6157155.
- Crawford, DC, Restrepo, NA, Diggins, KE, Farber-Eger, E, Wells, QS. Frequency and phenotype consequence of APOC3 rare variants in patients with very low triglyceride levels. BMC Med Genomics 2018; 11 (Suppl 3): 66. PubMed PMID:30255797 PubMed Central PMC6156840.
- 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.