Longitudinal Analysis of Contrasts in Gene Expression Data.
Hahn G, Novak T, Crawford JC, Randolph AG, Lange C.
Genes (Basel). 2023 05 24. 14(6). PMID: 37372314
Other Positions
Assistant Professor of Medicine
Medicine-Brigham and Women's Hospital
Harvard Medical School
Overview
Research
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.
Education
Ph.D., 2000, University of Reading, United Kingdom
Bibliography
X chromosome associations with chronic obstructive pulmonary disease and related phenotypes: an X chromosome-wide association study.
Hayden LP, Hobbs BD, Busch R, Cho MH, Liu M, Lopes-Ramos CM, Lomas DA, Bakke P, Gulsvik A, Silverman EK, Crapo JD, Beaty TH, Laird NM, Lange C, DeMeo DL.
Respir Res. 2023 Feb 01. 24(1):38. PMID: 36726148
FGF20 and PGM2 variants are associated with childhood asthma in family-based whole-genome sequencing studies.
Hecker J, Chun S, Samiei A, Liu C, Laurie C, Kachroo P, Lutz SM, Lee S, Smith AV, Lasky-Su J, Cho MH, Sharma S, Soto Quirós ME, Avila L, Celedón JC, Raby B, Zhou X, Silverman EK, DeMeo DL, Lange C, Weiss ST.
Hum Mol Genet. 2023 01 27. 32(4):696-707. PMID: 36255742
A comparison between similarity matrices for principal component analysis to assess population stratification in sequenced genetic data sets.
Lee S, Hahn G, Hecker J, Lutz SM, Mullin K, Hide W, Bertram L, DeMeo DL, Tanzi RE, Lange C, Prokopenko D.
Brief Bioinform. 2023 01 19. 24(1). PMID: 36585781
Zinc finger protein 33B demonstrates sex interaction with atopy-related markers in childhood asthma.
Lee S, Prokopenko D, Kelly RS, Lutz S, Ann Lasky-Su J, Cho MH, Laurie C, Celedón JC, Lange C, Weiss ST, Hecker J, DeMeo DL.
Eur Respir J. 2023 01. 61(1). PMID: 35953101
Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interest.
Hahn G, Lee S, Prokopenko D, Abraham J, Novak T, Hecker J, Cho M, Khurana S, Baden LR, Randolph AG, Weiss ST, Lange C.
BMC Bioinformatics. 2022 Dec 19. 23(1):547. PMID: 36536276
DDX58 Is Associated With Susceptibility to Severe Influenza Virus Infection in Children and Adolescents.
Lee S, Zhang Y, Newhams M, Novak T, Thomas PG, Mourani PM, Hall MW, Loftis LL, Cvijanovich NZ, Tarquinio KM, Schwarz AJ, Weiss SL, Thomas NJ, Markovitz B, Cullimore ML, Sanders RC, Zinter MS, Sullivan JE, Halasa NB, Bembea MM, Giuliano JS, Typpo KV, Nofziger RA, Shein SL, Kong M, Coates BM, Weiss ST, Lange C, Su HC, Randolph AG.
J Infect Dis. 2022 11 28. 226(11):2030-2036. PMID: 35986912
A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables.
Hecker J, Prokopenko D, Moll M, Lee S, Kim W, Qiao D, Voorhies K, Kim W, Vansteelandt S, Hobbs BD, Cho MH, Silverman EK, Lutz SM, DeMeo DL, Weiss ST, Lange C.
PLoS Genet. 2022 11. 18(11):e1010464. PMID: 36383614
Assessing the contribution of rare genetic variants to phenotypes of chronic obstructive pulmonary disease using whole-genome sequence data.
Kim W, Hecker J, Barr RG, Boerwinkle E, Cade B, Correa A, Dupuis J, Gharib SA, Lange L, London SJ, Morrison AC, O'Connor GT, Oelsner EC, Psaty BM, Vasan RS, Redline S, Rich SS, Rotter JI, Yu B, Lange C, Manichaikul A, Zhou JJ, Sofer T, Silverman EK, Qiao D, Cho MH.
Hum Mol Genet. 2022 11 10. 31(22):3873-3885. PMID: 35766891
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
News
Methodology from genome-wide association studies accurately flags more deadly SARS-CoV-2 variant
Compares mutations to mortality in order to identify variants that should be monitored and contained For immediate release: Wednesday, June 23, 2021 Boston, MA – Using genome-wide association studies (GWAS) methodology to analyze whole-genome sequencing data of SARS-CoV-2 mutations…
Researchers answer troublesome question of why some genetic association studies have failed replication attempts
For immediate release: Thursday, April 3, 2008 Boston, MA - A team of researchers from Harvard School of Public Health (HSPH), Brigham and Women's Hospital (BWH), and elsewhere have described a possible reason why some studies have been…