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Patrick F. McArdle, PhD

Academic Title:

Associate Professor

Primary Appointment:

Medicine

Secondary Appointment(s):

Epidemiology & Public Health

Location:

MSTF 300E

Phone (Primary):

(410) 706-4180

Fax:

(410) 706-1622

Education and Training

  • Cornell University, B.S., Mechanical and Aerospace Engineering
  • University of Maryland, Ph.D., Epidemiology

Biosketch

Dr. McArdle is an epidemiologist with expertise in data science and data governance. He has extensive experience performing genetic analyses, including genome wide association studies.  He and his team have developed web based analytic tools to aid in the presentation and mining of results from large GWAS studies.  He has published on proper covariate selection in such studies, particularly when a change in phenotype is of interest, such as response to pharmaceutical treatment.  His experience includes a decade of involvement with the study of complex common disease in the Old Order Amish population.    

Research/Clinical Keywords

Causal Inference; Data Science; Genetic Epidemiology;

Highlighted Publications

McArdle PF, Pollin TI, O’Connell JR, Sorkin JD, Agarwala R, Schäffer AA, Streeten EA, King TM, Shuldiner AR, Mitchell BD. Does having children extend lifespan? A genealogical study of parity and longevity in the Amish.  J Gerontol A Biol Sci Med Sci. 2006 Feb;61(2):190-5.  PMID: 16510865

McArdle PF, Whitcomb BW. Improper adjustment for baseline: A potential cause of non replication in short term intervention studies of gene by environment interactions. Human Heredity 2008 Dec 15;67(3):176-182. PMID: 19077436

Parsa A, Brown E, Weir MR, Fink JC, Shuldiner AR, Mitchell BD, McArdle PF.  Genotype-based changes in serum uric acid affect blood pressure. Kidney Int. 2012 Mar; 81(5): 502-7. PMID: 22189840.

Mitchell BD, Fornage M, McArdle PF, Cheng YC, Pulit SL, Wong Q, Dave T, Williams SR, Corriveau R, Gwinn K, Doheny K, Laurie C, Rich SS, de Bakker P, on behalf of the Stroke Genetics Network (SiGN). Using previously genotyped controls in genome-wide association studies (GWAS): an application to the Strokes Genetics Network (SiGN).  Frontiers in Genetics. 2014 Apr 29;5:95. PMID:  24808905

Pulit SL*, McArdle PF*, Wong Q*, Malik R*, et al.  Loci associated with ischaemic stroke and its subtypes (SiGN): a genome-wide association study.  Lancet Neurol. 2015 Dec 18. pii: S1474-4422(15)00338-5. PMID: 26708676

Whitcomb BW, McArdle PF.  Collider-stratification bias due to censoring in prospective cohort studies. Epidemiology. 2016 Mar; 27(2): e4-e5. PMID: 26628423

McArdle PF.  The next step forward is to take a step back.  Diabetes 65, no. 10 (October 2016): 2824–25. PMID: 2765922