Noah Zaitlen, PhD

Assistant Professor
Department of Medicine
Lung Biology Center
+1 415 502-2027

We develop statistical and computational tools to discover the genetic basis of complex phenotypes. We are especially interested in human disease, variation in drug/treatment response, and disease outcomes. Current projects primarily focus on incorporating environmental context into medical genetics. These include developing novel techniques to partition the proportion of phenotype driven by genetic and environmental factors in world-wide populations (Nature versus Nurture), and improving our power to identify disease causing mutations by leveraging gene-expression, meta-genomic, and clinical data such as smoking status, BMI, and age.

Primary Thematic Area: 
Human Genetics
Secondary Thematic Area: 
Research Summary: 
Development of statistical methods for uncovering the genetic basis of human disease



The Effects of Migration and Assortative Mating on Admixture Linkage Disequilibrium.


Zaitlen N, Huntsman S, Hu D, Spear M, Eng C, Oh SS, White MJ, Mak A, Davis A, Meade K, Brigino-Buenaventura E, LeNoir MA, Bibbins-Domingo K, Burchard EG, Halperin E

Transethnic Genetic-Correlation Estimates from Summary Statistics.

American journal of human genetics

Brown BC

Selection and explosive growth alter genetic architecture and hamper the detection of causal rare variants.

Genome research

Uricchio LH, Zaitlen NA, Ye CJ, Witte JS, Hernandez RD

Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies.

Nature methods

Rahmani E, Zaitlen N, Baran Y, Eng C, Hu D, Galanter J, Oh S, Burchard EG, Eskin E, Zou J, Halperin E