DANA C. CRAWFORD, PH.D.
Assistant Director for Population and Diversity Research
Dana Crawford, Ph.D., 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.
Characterization of the Metabochip in diverse populations from the International HapMap Project in the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) project.
Crawford DC, Goodloe R, Brown-Gentry K, Wilson S, Roberson J, Gillani NB, Ritchie MD, Dilks HH, Bush WS,. Genome-wide association studies (GWAS) have identified hundreds of genomic regions associated with common human disease and quantitative traits. A major research avenue for mature genotype-phenotype associations is the identification of the true risk or functional variant for […]
Enabling high-throughput genotype-phenotype associations in the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) project as part of the Population Architecture using Genomics and Epidemiology (PAGE) study.
Bush WS, Boston J, Pendergrass SA, Dumitrescu L, Goodloe R, Brown-Gentry K, Wilson S, McClellan B, Torstenson E, Basford MA, Spencer KL, Ritchie MD, Crawford DC,. Genetic association studies have rapidly become a major tool for identifying the genetic basis of common human diseases. The advent of cost-effective genotyping coupled with large collections of samples […]
- 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.
- Smieszek, S, Mitchell, SL, Farber-Eger, EH, Veatch, OJ, Wheeler, NR, Goodloe, RJ, Wells, QS, Murdock, DG, Crawford, DC. Hi-MC: a novel method for high-throughput mitochondrial haplogroup classification. PeerJ 2018; 6 : e5149. PubMed PMID:29967758 PubMed Central PMC6022720.
- Cooke Bailey, JN, Crawford, DC, Goldenberg, A, Slaven, A, Pencak, J, Schachere, M, Bush, WS, Sedor, JR, O'Toole, JF. Willingness to Participate in a National Precision Medicine Cohort: Attitudes of Chronic Kidney Disease Patients at a Cleveland Public Hospital. J Pers Med 2018; 8 (3): . PubMed PMID:29949895 PubMed Central PMC6164471.