Biography

Websites:
Research with Rowan

Education:
Post-Doctoral, Human Genetics, University of Chicago
Ph.D., Statistics, The Ohio State University
B.S., Mathematics, Aristotle University of Thessaloniki

Research Expertise:
Statistical Genetics | Biostatistics | Genetic Epidemiology

My research interests are in the areas of statistical genetics, epidemiology, and applications to biological and medical studies. I primarily develop novel methodologies for analyzing data from genetic studies to identify disease susceptibility genes. I am currently involved in variety of projects some of which aim at uncovering factors affecting asthma susceptibility, reducing drug wastage in VA hospitals, building mouse models of response to leukemia treatments, and identifying genetic markers that predict drug response to cancer treatment.

Honors and Awards:
Christian R. and Mary F. Lindback Award for Distinguished Teaching - 2013

Professional Memberships:
American Statistical Association (www.amstat.org)
International Genetic Epidemiology Society (www.geneticepi.org)

Recent Academic Projects:
Unlocking the Heritability of Methylation in Human DNA via the Use of Pedigree Data

Haplotype-based Tests for Detecting Gene-Environment Interactions

Exploring Factors Affecting Eating Habits of College Students

Identifying Factors Contributing to Benign Brain Tumors (Meningiomas)

Selected Publications:
Fazia T, Pastorino R Foco L, Han L, Abney M, Beecham A, Hadjixenofontos A, Guo H, Gentilini D, Papachristou C, Bitti PP, Ticca A, Berzuini C, McCauley JL, Bernardinelli L (2017) Investigating multiple sclerosis genetic susceptibility on the founder population of east-central Sardinia via association and linkage analysis of immune-related loci. Mult Scler. Epub ahead of print.    

Papachristou C, Ober C, Abney M (2016) A LASSO penalized regression approach for genome-wide association analyses using related individuals: application to the Genetic Analysis Workshop 19 simulated data. BMC Proceedings. 10(Suppl 7):53.   

Papachristou, C (2015) A population based confidence set inference method for SNPs that regulate quantitative phenotypes. In: Ordered Data Analysis, Modeling and Health Research Methods (Springer Proceedings in Mathematics & Statistics Vol. 149) Choudhary P, Nagaraja C, Ng H, ed. pp. 235-244, Cham:Springer.

Fall 2026 - Class Schedule
44588 - DS - 01101-1      IN-DEPTH INTRODUCTION TO DATA      TRF 12:30pm - 1:45pm      Robinson 310

44589 - DS - 01390-1      DATA RESEARCH I      TR 2:00pm - 3:15pm      Robinson 324
41112 - MATH - 01390-1      MATHEMATICS RESEARCH      TR 2:00pm - 3:15pm      Robinson 324

41188 - STAT - 02320-1      CONCEPTS STAT DATA ANALYSIS      TR 8:00am - 9:15am      Science 128