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Discovering the causes of cancer and the means of prevention

Integrative Tumor Epidemiology Branch

The Integrative Tumor Epidemiology Branch (ITEB) employs molecular pathology, somatic and germline genomics, and epidemiology to identify environmental and germline risk factors for cancer.

Research Mission

The mission of ITEB is to conduct large-scale, international epidemiological research on cancer etiology and progression through integrative analyses of risk factors and tissue profiling to inform prevention and clinical strategies.

Learn more about the research in ITEB.


ITEB provides a dynamic and collaborative environment for trainees at the pre- and post-doctoral level.

Meet the current ITEB fellows and learn about research training opportunities in ITEB.

ITEB Highlights

The PLCO Atlas, part of GWAS Explorer, accelerates innovative analysis of GWAS results through a dynamic framework of interactive visualizations designed to aid in uncovering novel connections and spark new avenues of investigation.

Brown D., et al. Germline-somatic JAK2 interactions are associated with clonal expansion in myelofibrosis. Nature Commun 2022.

Zhang T, Joubert P, Ansari-Pour N, et al. Genomic and evolutionary classification of lung cancer in never smokersNat Genetics 2021.

Zekavat S, Lin S, Bick A, et al. Hematopoietic mosaic chromosomal alterations increase the risk for diverse types of infection. Nat Med 2021.

Bai J, Shi J, Li C, et al. Whole genome sequencing of skull-base chordoma reveals genomic alterations associated with recurrence and chordoma-specific survival. Nat Commun 2021.

Landi MT, Synnott NC, et al. Tracing Lung Cancer Risk Factors Through Mutational Signatures in Never Smokers: the Sherlock-Lung Study. Am J Epidemiol 2020.

Bodelon C, Oh H, Derkach A, et al. Polygenic risk score for the prediction of breast cancer is related to lesser terminal duct lobular unit involution of the breast. NPJ Breast Cancer 2020.

Landi MT, Bishop DT, MacGregor S, et al. Genome-wide association meta-analyses combining multiple risk phenotypes provide insights into the genetic architecture of cutaneous melanoma susceptibilityNat Genet 2020.