Williams, Marc S.

Primary sclerosing cholangitis, autoimmune hepatitis, and overlap in Utah children: epidemiology and natural history

Deneau, M., Jensen, K. M., Holmen, J., Williams, M. S., Book, L. S., & Guthery, S. L. (2013) · Hepatology

Liver Diseases and ImmunityPediatric Hepatobiliary Diseases and Treatments

Cited by 233

Association of Arrhythmia-Related Genetic Variants With Phenotypes Documented in Electronic Medical Records

Van Driest, S. L., Wells, Q. S., Stallings, S., Bush, W. S., Gordon, A., Nickerson, D. A., Kim, J. H., Crosslin, D. R., Jarvik, G. P., Carrell, D. S., et al. (2016) · JAMA

Cardiac electrophysiology and arrhythmiasGenomics and Rare Diseases

Cited by 170

Clinical outcomes of a genomic screening program for actionable genetic conditions

Buchanan, A. H., Lester Kirchner, H., Schwartz, M. L. B., Kelly, M. A., Schmidlen, T., Jones, L. K., Hallquist, M. L. G., Rocha, H., Betts, M., Schwiter, R., et al. (2020) · Genetics in Medicine

BRCA gene mutations in cancerGenomics and Rare Diseases

Cited by 143

Research Directions in the Clinical Implementation of Pharmacogenomics: An Overview of US Programs and Projects

Volpi, S., Bult, C. J., Chisholm, R. L., Deverka, P. A., Ginsburg, G. S., Jacob, H. J., Kasapi, M., McLeod, H. L., Roden, D. M., Williams, M. S., et al. (2018) · Clinical Pharmacology & Therapeutics

Pharmacogenetics and Drug MetabolismGenetic Associations and Epidemiology

Cited by 135

Beyond the hype of big data and artificial intelligence: building foundations for knowledge and wisdom

Car, J., Sheikh, A., Wicks, P., & Williams, M. S. (2019) · BMC Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 126

A policy model to evaluate the benefits, risks and costs of warfarin pharmacogenomic testing

Meckley, L. M., Gudgeon, J. M., Anderson, J. L., Williams, M. S., & Veenstra, D. L. (2010) · PharmacoEconomics

Pharmacogenetics and Drug MetabolismHealth Systems, Economic Evaluations, Quality of Life

Cited by 97

A genome-wide association study of polycystic ovary syndrome identified from electronic health records

Zhang, Y., Ho, K., Keaton, J. M., Hartzel, D. N., Day, F., Justice, A. E., Josyula, N. S., Pendergrass, S. A., Actkins, K., Davis, L. K., et al. (2020) · American Journal of Obstetrics and Gynecology

Ovarian function and disordersGenetic Associations and Epidemiology

Cited by 91