Graduate Group in Genomics and Computational Biology

GCB Home » Faculty » Genetic variation and genomics of human disease

  Name Research
Laura Almasy The focus of Laura’s research is development and application of statistical genetic methods for the localization, identification, and characterization of genetic effects on common, complex diseases and related quantitative risk factors.
Yoseph Barash The lab develops machine learning algorithms that integrate high-throughput data (RNASeq, CLIPSeq , PIPSeq, etc.) to infer RNA biogenesis and function, followed by experimental
verifications of inferred mechanisms.
Dustin Brisson The effects of genomic variation in microbial pathogen populations on infectivity and invasiveness
Casey Brown Our research focuses on how genotypes produce phenotypes and how they vary and evolve.
Maja Bucan Genetic dissection of complex behaviors in mice and human; Functional genomics, Bipolar disorder, Autism
Rick Bushman Gene therapy for human diseases
Pablo Camara


The focus of our lab is on the development and application of innovative computational approaches to the study of cellular heterogeneity and its role in disease. 
Thomas Cappola My laboratory uses clinical investigation and applied genomics to reveal mechanisms of human heart failure.
Lewis Chodosh Genetically engineered mouse models for breast cancer initiation, metastasis, and recurrence. Normal developmental biology of the mammary gland. Tumor dormancy. Stem cells in breast cancer and mammary development. Oncogenes and tumor suppressors in breast cancer. Genomics and computational biology. Non-invasive imaging
Laura Conlin

Detection and interpretation of clinically relevant structural variants.

Marcella Devoto Dr. Devoto's main research interest is in the application and development of statistical genetics methods to the identification of genes responsible for human disorders, or underlying susceptibility to complex genetic traits.
Sharon Diskin Research interests: translational genomics in childhood cancers.
Beverly Emanuel I am a human geneticist investigating several diseases caused by abnormalities of human chromosomes, particularly chromosome 22.
Robert Babak Faryabi

The lab develops cancer genomics algorithm for processing, interrogation and mining of cancer genomics data with focus on lymphoma and leukemia.

Garret FitzGerald Parsing variability of drug effect
Struan Grant My current work continues to primarily investigate disease genomics, with a specific focus on pediatrics.
Casey Greene Tissue-specific effects of variants across multiple phenotypes.
Hakon Hakonarson Dr. Hakonarson is investigating genetic factors that underlie complex medical disorders in children and adults.
Blanca Himes Identification of genetic variants associated with chronic pulmonary diseases and their treatment outcome
Mingyao Li Genetics of cardiometabolic diseases.
Hongzhe Li My method research has been mostly motivated by problems in genetics, genomics and metagenomics.
John Maris Our research is focused on neuroblastoma, a common and often devastating childhood cancer of the peripheral nervous system.
Iain Mathieson Association studies, the distribution of rare variants, the genetics of spatially structured populations and understanding human history using ancient DNA. Understanding the evolution of complex traits in humans, and their relationship to demographic history and natural selection.
Andy Minn My laboratory is interested in gene programs and signaling pathways discovered through unbiased genomic approaches that regulate cancer metastasis and its resistance to either conventional treatment or immune therapies.
Jason Moore The role of genomic variation in precision medicine.
Kate Nathanson Inherited variation in association with cancer susceptibilty and treatment outcomes.
Allan Pack Dr. Pack is pursuing research on genetics/genomics of sleep and its disorders. His laboratory is conducting studies in Drosophila and mice and translating these findings to humans.
Marylyn Ritchie The mission of the Ritchie Lab is to improve our understanding of the underlying genetic architecture of common diseases such as cancer, diabetes, cardiovascular disease, and pharmacogenomic traits among others.
faculty photo Gerard Schellenberg  
Li Shen The central theme of the Shen lab is focused on developing computational and informatics methods for integrative analysis of multimodal imaging data, high throughput omics data, cognitive and other biomarker data, electronic health record data, and rich biological knowledge (e.g., pathways and networks), with applications to various complex disorders.
Nancy Spinner Human Genetics, Notch signaling in human disease, Alagille syndrome, Biliary Atresia,
SNP array analysis, copy number variation, human disease gene identification by mapping deletions, Ring Chromosome 14, Ring Chromosome 20, Genome wide association studies, next-generation sequencing,
chromosomal analysis
faculty photo Kai Tan Our lab is interested in Systems Biology of gene regulation in normal and disease development.
Sarah Tishkoff Genomic variation in Africa and associations with anthropometric, metabolic, cardiovascular
and immune related traits.
Ryan Urbanowicz Ryan Urbanowicz My primary research interests focus on the development, evaluation, and application of novel computational, statistical, and visualization methods to facilitate classification and data mining in the complex, noisy domain of biomedical research.
Golnaz Vahedi Genetics of autoimmune diseases.
faculty photo Benjamin Voight Genetic and evolutionary basis of type-2 diabetes and heart disease.
Kai Wang The research in our laboratory focuses on the development of bioinformatics methods to improve our understanding of the genetic basis of human diseases, and the integration of electronic health records and genomic information to facilitate genomic medicine on scale.
faculty photo Li-San Wang Genetics of Alzheimer's Disease.
Hao Wu Hao Wu The Wu lab is interested in understanding how epigenetic processes regulate gene expression to establish and maintain cellular identity.
Yi Xing Yi Xing The long-term goal of our research is to elucidate alternative isoform complexity in mammalian transcriptomes and proteomes.