Peter Kraft
Professor

Peter Kraft

Professor of Epidemiology

Epidemiology

pkraft@hsph.harvard.edu

Other Positions

Co-Director, Computational Biology & Quantitative Genetics Master's Program

Biostatistics

Harvard T.H. Chan School of Public Health

Faculty Affiliate in the Department of Biostatistics

Biostatistics

Harvard T.H. Chan School of Public Health


Overview

My research concentrates on the design and analysis of genetic association studies, with particular emphasis on studies linking variation in germline DNA to cancer risk. I have played a key role in multiple international consortia studying genetics and other exposures in relation to cancer risk over the last ten years: I have been a member of the statistical working group of the Breast and Prostate Cancer Cohort Consortium since its inception, and currently chair the BPC3 steering committee; I played a leading role in the design and analysis of GWAS of breast, prostate and pancreatic cancers as part of the NCI's Cancer Genetic Markers of Susceptibility and PanScan projects; and I chair the Analytic Working Group for the NCI's "post-GWAS" GAME-ON consortium, which aims to better understand the biological mechanisms underlying GWAS-identified cancer risk markers at five cancer sites (including breast and lung) and their public health implications.

I am also the contact PI for the epidemiology project of the breast cancer arm of GAME-ON, which focuses on gene-environment interactions and risk prediction. I have been the primary statistical geneticist for the Nurses' Health Study (NHS) and Health Professionals Follow-up Study (HPFS) for over ten years, and oversee the genotype databases for both studies, including genome-wide association data on over 20,000 subjects. I have collaborated on numerous analyses in the NHS and HPFS examining associations between genetic markers, behaviors (including diet and smoking), and risk of complex diseases. I have also collaborated with NHS investigators on the analyses of metabolite profiles in a case-control study of pancreatic cancer.

My current methodological research focuses on 1) efficient and interpretable "gene x environment interaction" analyses, 2) genetic risk prediction using common and rare genetic variation, biomarkers (including metabolites), and clinical and environmental risk factors, and 3) methods linking low-frequency variation, emerging functional annotation, and risk of complex disease.


Bibliography

Genome-wide association study in almost 195,000 individuals identifies 50 previously unidentified genetic loci for eye color.

Simcoe M, Valdes A, Liu F, Furlotte NA, Evans DM, Hemani G, Ring SM, Smith GD, Duffy DL, Zhu G, Gordon SD, Medland SE, Vuckovic D, Girotto G, Sala C, Catamo E, Concas MP, Brumat M, Gasparini P, Toniolo D, Cocca M, Robino A, Yazar S, Hewitt A, Wu W, Kraft P, Hammond CJ, Shi Y, Chen Y, Zeng C, Klaver CCW, Uitterlinden AG, Ikram MA, Hamer MA, van Duijn CM, Nijsten T, Han J, Mackey DA, Martin NG, Cheng CY, Hinds DA, Spector TD, Kayser M, Hysi PG.

Sci Adv. 2021 Mar. 7(11). PMID: 33692100

Improving reporting standards for polygenic scores in risk prediction studies.

Wand H, Lambert SA, Tamburro C, Iacocca MA, O'Sullivan JW, Sillari C, Kullo IJ, Rowley R, Dron JS, Brockman D, Venner E, McCarthy MI, Antoniou AC, Easton DF, Hegele RA, Khera AV, Chatterjee N, Kooperberg C, Edwards K, Vlessis K, Kinnear K, Danesh JN, Parkinson H, Ramos EM, Roberts MC, Ormond KE, Khoury MJ, Janssens ACJW, Goddard KAB, Kraft P, MacArthur JAL, Inouye M, Wojcik GL.

Nature. 2021 Mar. 591(7849):211-219. PMID: 33692554

Publisher Correction: Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.

Conti DV, Darst BF, Moss LC, Saunders EJ, Sheng X, Chou A, Schumacher FR, Olama AAA, Benlloch S, Dadaev T, Brook MN, Sahimi A, Hoffmann TJ, Takahashi A, Matsuda K, Momozawa Y, Fujita M, Muir K, Lophatananon A, Wan P, Le Marchand L, Wilkens LR, Stevens VL, Gapstur SM, Carter BD, Schleutker J, Tammela TLJ, Sipeky C, Auvinen A, Giles GG, Southey MC, MacInnis RJ, Cybulski C, Wokolorczyk D, Lubinski J, Neal DE, Donovan JL, Hamdy FC, Martin RM, Nordestgaard BG, Nielsen SF, Weischer M, Bojesen SE, Røder MA, Iversen P, Batra J, Chambers S, Moya L, Horvath L, Clements JA, Tilley W, Risbridger GP, Gronberg H, Aly M, Szulkin R, Eklund M, Nordström T, Pashayan N, Dunning AM, Ghoussaini M, Travis RC, Key TJ, Riboli E, Park JY, Sellers TA, Lin HY, Albanes D, Weinstein SJ, Mucci LA, Giovannucci E, Lindstrom S, Kraft P, Hunter DJ, Penney KL, Turman C, Tangen CM, Goodman PJ, Thompson IM, Hamilton RJ, Fleshner NE, Finelli A, Parent MÉ, Stanford JL, Ostrander EA, Geybels MS, Koutros S, Freeman LEB, Stampfer M, Wolk A, Håkansson N, Andriole GL, Hoover RN, Machiela MJ, Sørensen KD, Borre M, Blot WJ, Zheng W, Yeboah ED, Mensah JE, Lu YJ, Zhang HW, Feng N, Mao X, Wu Y, Zhao SC, Sun Z, Thibodeau SN, McDonnell SK, Schaid DJ, West CML, Burnet N, Barnett G, Maier C, Schnoeller T, Luedeke M, Kibel AS, Drake BF, Cussenot O, Cancel-Tassin G, Menegaux F, Truong T, Koudou YA, John EM, Grindedal EM, Maehle L, Khaw KT, Ingles SA, Stern MC, Vega A, Gómez-Caamaño A, Fachal L, Rosenstein BS, Kerns SL, Ostrer H, Teixeira MR, Paulo P, Brandão A, Watya S, Lubwama A, Bensen JT, Fontham ETH, Mohler J, Taylor JA, Kogevinas M, Llorca J, Castaño-Vinyals G, Cannon-Albright L, Teerlink CC, Huff CD, Strom SS, Multigner L, Blanchet P, Brureau L, Kaneva R, Slavov C, Mitev V, Leach RJ, Weaver B, Brenner H, Cuk K, Holleczek B, Saum KU, Klein EA, Hsing AW, Kittles RA, Murphy AB, Logothetis CJ, Kim J, Neuhausen SL, Steele L, Ding YC, Isaacs WB, Nemesure B, Hennis AJM, Carpten J, Pandha H, Michael A, De Ruyck K, De Meerleer G, Ost P, Xu J, Razack A, Lim J, Teo SH, Newcomb LF, Lin DW, Fowke JH, Neslund-Dudas C, Rybicki BA, Gamulin M, Lessel D, Kulis T, Usmani N, Singhal S, Parliament M, Claessens F, Joniau S, Van den Broeck T, Gago-Dominguez M, Castelao JE, Martinez ME, Larkin S, Townsend PA, Aukim-Hastie C, Bush WS, Aldrich MC, Crawford DC, Srivastava S, Cullen JC, Petrovics G, Casey G, Roobol MJ, Jenster G, van Schaik RHN, Hu JJ, Sanderson M, Varma R, McKean-Cowdin R, Torres M, Mancuso N, Berndt SI, Van Den Eeden SK, Easton DF, Chanock SJ, Cook MB, Wiklund F, Nakagawa H, Witte JS, Eeles RA, Kote-Jarai Z, Haiman CA.

Nat Genet. 2021 Mar. 53(3):413. PMID: 33473200


News

Dozens of new genetic regions linked to breast cancer

Two studies represent the largest-ever examination of the inherited genetic contribution to the risk of getting breast cancer For immediate release: October 23, 2017 Boston, MA – Two large genome-wide association studies of thousands of women have identified…