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 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.

Affiliations

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Featured Publications

Utilization of an EMR-biorepository to identify the genetic predictors of calcineurin-inhibitor toxicity in heart transplant recipients.

Oetjens M, Bush WS, Birdwell KA, Dilks HH, Bowton EA, Denny JC, Wilke RA, Roden DM, Crawford DC,. Calcineurin-inhibitors CI are immunosuppressive agents prescribed to patients after solid organ transplant to prevent rejection. Although these drugs have been transformative for allograft survival, long-term use is complicated by side effects including nephrotoxicity. Given the narrow therapeutic […]

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 […]

Recent Publications

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
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