Crawford, Dana C.

Genetic studies of body mass index yield new insights for obesity biology

Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 4,534

Defining the role of common variation in the genomic and biological architecture of adult human height

The Electronic Medical Records and Genomics (eMERGE) Consortium, Wood, A. R., The MIGen Consortium, The PAGE Consortium, Study, T. L. C., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., et al. (2014) · Nature Genetics

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 1,853

New genetic loci link adipose and insulin biology to body fat distribution

The ADIPOGen Consortium, Shungin, D., The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GEFOS Consortium, The GENIE Consortium, The, G. L. G. C., The, I. C. B. P., The International Endogene Consortium, Study, T. L. C., et al. (2015) · Nature

Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases

Cited by 1,580

PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations

Denny, J. C., Ritchie, M. D., Basford, M. A., Pulley, J. M., Bastarache, L., Brown-Gentry, K., Wang, D., Masys, D. R., Roden, D. M., & Crawford, D. C. (2010) · Bioinformatics

Genetic Associations and EpidemiologyHealth, Environment, Cognitive Aging

Cited by 1,219

FMR1 and the fragile X syndrome: Human genome epidemiology review

Crawford, D. C., Acuña, J. M., & Sherman, S. L. (2001) · Genetics in Medicine

Genetics and Neurodevelopmental DisordersGenetic Neurodegenerative Diseases

Cited by 711

Definition And Clinical Importance Of Haplotypes.

Crawford, D. C., & Nickerson, D. A. (2005) · Annual Review of Medicine

Genetic Associations and EpidemiologyForensic and Genetic Research

Cited by 344

Type 2 Diabetes Variants Disrupt Function of SLC16A11 through Two Distinct Mechanisms

Rusu, V., Hoch, E., Mercader, J. M., Tenen, D. E., Gymrek, M., Hartigan, C. R., DeRan, M., von Grotthuss, M., Fontanillas, P., Spooner, A., et al. (2017) · Cell

Genetic Associations and EpidemiologyMetabolism, Diabetes, and Cancer

Cited by 152

Using Electronic Health Records To Generate Phenotypes For Research

Pendergrass, S. A., & Crawford, D. C. (2019) · Current Protocols in Human Genetics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 120

Gene-carbohydrate and gene-fiber interactions and type 2 diabetes in diverse populations from the National Health and Nutrition Examination Surveys (NHANES) as part of the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) study

Villegas, R., Goodloe, R. J., McClellan, B. E., Boston, J., & Crawford, D. C. (2014) · BMC Genetics

Nutrition, Genetics, and DiseaseGenetic Associations and Epidemiology

Cited by 34

Willingness to Participate in a National Precision Medicine Cohort: Attitudes of Chronic Kidney Disease Patients at a Cleveland Public Hospital

Cooke Bailey, J. N., Crawford, D. C., Goldenberg, A., Slaven, A., Pencak, J., Schachere, M., Bush, W. S., Sedor, J. R., & O’Toole, J. F. (2018) · Journal of Personalized Medicine

Ethics in Clinical ResearchEthics and bioethics in healthcare

Cited by 11