Christoph Lange
Primary Faculty

Christoph Lange

Professor of Biostatistics


Other Positions

Assistant Professor of Medicine

Medicine-Brigham and Women's Hospital

Harvard Medical School



Christoph's research interests are at the intersection of biostatistical methodology, numerical analysis, and computer science. Formally trained in all 3 areas, Christoph headed the analysis of the first genome-wide association study for complex diseases, the longitudinal analysis of BMI in the Framingham Heart Study. To address the challenges of this first wave of "big data" in genetics, Christoph's group developed statistical methodology to maximize power in such studies that minimize the effects of the multiple testing problem in GWAS and developed massively parallel software implementations for the analysis that also efficiently scale with the study size (PBAT software package). Christoph's group then successfully commercialized
the package in collaboration with GoldenHelix.

Currently, Christoph's group focuses on the statistical and computational challenges posed by whole-genome sequencing studies, e.g. powerful analysis methodology, clustering approaches of the genome, approaches to permutation testing, storage algorithm, etc.

Christoph is also involved in collaborative research in Asthma Genetics, COPD Genetics, and Alzheimer's Genetics.


Ph.D., 2000, University of Reading, United Kingdom


Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations.

Ge T, Irvin MR, Patki A, Srinivasasainagendra V, Lin YF, Tiwari HK, Armstrong ND, Benoit B, Chen CY, Choi KW, Cimino JJ, Davis BH, Dikilitas O, Etheridge B, Feng YA, Gainer V, Huang H, Jarvik GP, Kachulis C, Kenny EE, Khan A, Kiryluk K, Kottyan L, Kullo IJ, Lange C, Lennon N, Leong A, Malolepsza E, Miles AD, Murphy S, Namjou B, Narayan R, O'Connor MJ, Pacheco JA, Perez E, Rasmussen-Torvik LJ, Rosenthal EA, Schaid D, Stamou M, Udler MS, Wei WQ, Weiss ST, Ng MCY, Smoller JW, Lebo MS, Meigs JB, Limdi NA, Karlson EW.

Genome Med. 2022 06 29. 14(1):70. PMID: 35765100