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.
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 […]
Trans-ethnic fine-mapping of genetic loci for body mass index in the diverse ancestral populations of the Population Architecture using Genomics and Epidemiology (PAGE) Study reveals evidence for multiple signals at established loci.
Fernández-Rhodes L, Gong J, Haessler J, Franceschini N, Graff M, Nishimura KK, Wang Y, Highland HM, Yoneyama S, Bush WS, Goodloe R, Ritchie MD, Crawford D, Gross M, Fornage M, Buzkova P, Tao R, Isasi C, Avilés-Santa L, Daviglus M, Mackey RH, Houston D, Gu CC, Ehret G, Nguyen KH, Lewis CE, Leppert M, Irvin […]
- 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.
- Crawford, DC, Bailey, JNC, Miskimen, K, Miron, P, McCauley, JL, Sedor, JR, ƠToole, JF, Bush, WS. Somatic T-cell Receptor Diversity in a Chronic Kidney Disease PatientPopulation Linked to Electronic Health Records. AMIA Jt Summits Transl Sci Proc 2018; 2017 : 63-71. PubMed PMID:29888042 PubMed Central PMC5961818.
- Jones, CC, Mercaldo, SF, Blume, JD, Wenzlaff, AS, Schwartz, AG, Chen, H, Deppen, SA, Bush, WS, Crawford, DC, Chanock, SJ et al.. Racial Disparities in Lung Cancer Survival: The Contribution of Stage, Treatment, and Ancestry. J Thorac Oncol 2018; 13 (10): 1464-1473. PubMed PMID:29885480 PubMed Central PMC6153049.
- Kocarnik, JM, Richard, M, Graff, M, Haessler, J, Bien, S, Carlson, C, Carty, CL, Reiner, AP, Avery, CL, Ballantyne, CM et al.. Discovery, fine-mapping, and conditional analyses of genetic variants associated with C-reactive protein in multiethnic populations using the Metabochip in the Population Architecture using Genomics and Epidemiology (PAGE) study. Hum. Mol. Genet. 2018; 27 (16): 2940-2953. PubMed PMID:29878111 PubMed Central PMC6077792.
- Gong, J, Nishimura, KK, Fernandez-Rhodes, L, Haessler, J, Bien, S, Graff, M, Lim, U, Lu, Y, Gross, M, Fornage, M et al.. Trans-ethnic analysis of metabochip data identifies two new loci associated with BMI. Int J Obes (Lond) 2018; 42 (3): 384-390. PubMed PMID:29381148 PubMed Central PMC5876082.