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.

Conti, DV, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Olama, AAA, Benlloch, S, Dadaev, T et al.. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction. Nat Genet 2021; 53 (1): 65-75. PubMed PMID:33398198 .
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 2021; 148 (1): 99-105. 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 PubMed Central PMC7754782.
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 PubMed Central PMC7805560.
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.

Search PubMed

Association of cancer susceptibility variants with risk of multiple primary cancers: The population architecture using genomics and epidemiology study.

Park SL, Caberto CP, Lin Y, Goodloe RJ, Dumitrescu L, Love SA, Matise TC, Hindorff LA, Fowke JH, Schumacher FR, Beebe-Dimmer J, Chen C, Hou L, Thomas F, Deelman E, Han Y, Peters U, North KE, Heiss G, Crawford DC, Haiman CA, Wilkens LR, Bush WS, Kooperberg C, Cheng I, Le Marchand L,. Multiple primary […]

Cross-cancer pleiotropic analysis of endometrial cancer: PAGE and E2C2 consortia.

Setiawan VW, Schumacher F, Prescott J, Haessler J, Malinowski J, Wentzensen N, Yang H, Chanock S, Brinton L, Hartge P, Lissowska J, Park SL, Cheng I, Bush WS, Crawford DC, Ursin G, Horn-Ross P, Bernstein L, Lu L, Risch H, Yu H, Sakoda LC, Doherty J, Chen C, Jackson R, Yasmeen S, Cote M, Kocarnik […]

eMERGEing progress in genomics-the first seven years.

Crawford DC, Crosslin DR, Tromp G, Kullo IJ, Kuivaniemi H, Hayes MG, Denny JC, Bush WS, Haines JL, Roden DM, McCarty CA, Jarvik GP, Ritchie MD,. The electronic MEdical Records & GEnomics (eMERGE) network was established in 2007 by the National Human Genome Research Institute (NHGRI) of the National Institutes of Health (NIH) in part […]

Replication of associations between GWAS SNPs and melanoma risk in the Population Architecture Using Genomics and Epidemiology (PAGE) Study.

Kocarnik JM, Park SL, Han J, Dumitrescu L, Cheng I, Wilkens LR, Schumacher FR, Kolonel L, Carlson CS, Crawford DC, Goodloe RJ, Dilks H, Baker P, Richardson D, Ambite JL, Song F, Quresh AA, Zhang M, Duggan D, Hutter C, Hindorff LA, Bush WS, Kooperberg C, Le Marchand L, Peters U,.

National Human Genome Research Institute 1 week ago

At @genome_gov, we believe genomics cannot continue to thrive without people from diverse backgrounds, including underrepresented researchers and clinicians. Our new action agenda details our goals and objectives for building a more #diversegenomicsworkforce by 2030. Retweeted by Dr. Dana Crawford

Jason H. Moore, PhD 2 weeks ago

Be sure and attend the Translational #Bioinformatics workshop at #PSB2021 on Thursday from 1-4 ET! We have an amazing lineup of speakers including @MarzyehGhassemi, Jonathan Haines, @inthosegenespod, & @dokyoon_kim with a panel discussion. upibi.org/tbworkshop/ Retweeted by Dr. Dana Crawford

Dr. Dana Crawford 2 weeks ago

@joanneberghout And a lively Q&A, I might add!

Dr. Marylyn D. Ritchie, PhD 2 weeks ago

Well Toto, it looks like we are not in Kansas anymore... Or for the PSB attendees, we're not in Hawaii this time. I miss you all. But let's get into our great science from the safety of our homes. Looking forward to PSB 2022 - hopefully back on the island! Aloha, friends. #PSB21 twitter.com/PacSymBiocomp/… Retweeted by Dr. Dana Crawford

Joanne Berghout 2 weeks ago

We're live! Join our first session "Computational Challenges and Artificial Intelligence in Precision Medicine" @CaturDNA @RoxanaDaneshjou @ProfLHunter @MarthaBulyk @LukaszPK @jonc101x @gregorymcinnes #psb21 #psb2021 twitter.com/pacsymbiocomp/… Retweeted by Dr. Dana Crawford

Roxana Daneshjou MD/PhD 2 weeks ago

Putting the finishing touches on the introduction for our @PacSymBiocomp virtual session tomorrow! Really excited for the talks and posters on Computational Challenges and Artificial Intelligence in Precision Medicine. #PSB2021 Retweeted by Dr. Dana Crawford

Dr. Dana Crawford 2 weeks ago

It's January and time for some @PacSymBiocomp 2021! Don your best aloha and join us for the first session "Computational Challenges and Artificial Intelligence in Precision Medicine" Tuesday at 8am PT! @kidzik @olgafan @bulyk @joanneberghout

test Twitter Media - It's January and time for some @PacSymBiocomp
2021! Don your best aloha and join us for the first session "Computational Challenges and Artificial Intelligence in Precision Medicine" Tuesday at 8am PT! @kidzik @olgafan @bulyk @joanneberghout https://t.co/a4k9vIhJoV