David E. Goldgar

基本信息

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职业迁徙

个人简介

Goldgar's research involves the genetic study of breast cancer and melanoma. He studies methods to clinically classify the BRCA1 and BRCA2 genes, the most well-known genes for breast cancer.Before leaving the University of Utah to assume the position of chief of the Genetic Epidemiology Unit at the International Association of Cancer Research in Lyon, France, Goldgar was a member of the team that led to the localization, cloning, or characterization of the cancer predisposing BRCA1, BRCA2, and CDKN2A (p16) mutations. Goldgar joined the CCPS Program in 2008 upon his return to the University of Utah.

研究兴趣

论文共 544 篇作者统计合作学者相似作者

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Large Scale Case-Control Analyses of Rare Variant Data; Application to BRCA1 and BRCA2

Denise O'Mahony,Maria Zanti, Michael T. Parsons,Joe Dennis,Cristina Fortuno,Maaike Vreeswijk,Miguel de la Hoya,Logan Walker,Melissa C. Southey,Peter Devilee,Paul James,David E. Goldgar, Douglas F. Easton,Amanda B. Spurdle, Kyriaki Michailidou

EUROPEAN JOURNAL OF HUMAN GENETICS (2024): 53-53

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When Two Plus Four Does Not Equal Six: Combining Computational and Functional Evidence Towards Classification of BRCA1 Key Domain Missense Substitutions

Scott T Pew, Madison B Wiffler,Alun Thomas,Julie L Boyle, Melissa S Cline,Nicola J Camp,David E Goldgar,Sean V Tavtigian

medrxiv（2024）

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Analysis of More Than 400,000 Women Provides Case-Control Evidence for BRCA1 and BRCA2 Variant Classification

Maria Zanti,Denise G O'Mahony, Michael T Parsons,Leila Dorling,Joe Dennis,Nicholas J Boddicker, Wenan Chen,Chunling Hu, Marc Naven,Kristia Yiangou,Thomas U Ahearn,Christine B Ambrosone,Irene L Andrulis,Antonis C Antoniou, Paul L Auer,Caroline Baynes,Clara Bodelon,Natalia V Bogdanova,Stig E Bojesen,Manjeet K Bolla,Kristen D Brantley,Nicola J Camp,Archie Campbell,Jose E Castelao,Melissa H Cessna,Jenny Chang-Claude,Fei Chen,Georgia Chenevix-Trench,NBCS Collaborators,Don M Conroy,Kamila Czene,Arcangela De Nicolo,Susan M Domchek,Thilo Dörk,Alison M Dunning,A Heather Eliassen,D Gareth Evans,Peter A Fasching,Jonine D Figueroa, Henrik Flyger,Manuela Gago-Dominguez,Montserrat García-Closas,Gord Glendon,Anna González-Neira,Felix Grassmann,Andreas Hadjisavvas,Christopher A Haiman,Ute Hamann,Steven N Hart,Mikael B A Hartman,Weang-Kee Ho, James M Hodge,Reiner Hoppe,Sacha J Howell,kConFab Investigators, Anna Jakubowska,Elza K Khusnutdinova, Yon-Dschun Ko,Peter Kraft,Vessela N Kristensen,James V Lacey,Jingmei Li,Geok Hoon Lim,Sara Lindström,Artitaya Lophatananon,Craig Luccarini, Arto Mannermaa,Maria Elena Martinez,Dimitrios Mavroudis,Roger L Milne,Kenneth Muir,Katherine L Nathanson,Rocio Nuñez-Torres,Nadia Obi,Janet E Olson,Julie R Palmer, Mihalis I Panayiotidis,Alpa V Patel,Paul D P Pharoah,Eric C Polley,Muhammad U Rashid,Kathryn J Ruddy,Emmanouil Saloustros,Elinor J Sawyer,Marjanka K Schmidt,Melissa C Southey,Veronique Kiak-Mien Tan,Soo Hwang Teo,Lauren R Teras,Diana Torres,Amy Trentham-Dietz,Thérèse Truong,Celine M Vachon,Qin Wang, Jeffrey N Weitzel,Siddhartha Yadav,Song Yao,Gary R Zirpoli,Melissa S Cline,Peter Devilee,Sean V Tavtigian,David E Goldgar,Fergus J Couch,Douglas F Easton,Amanda B Spurdle,Kyriaki Michailidou

medRxiv the preprint server for health sciences (2024)

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Development of a Breast Cancer Risk Prediction Model Integrating Monogenic, Polygenic, and Epidemiologic Risk

Cancer epidemiology, biomarkers & prevention a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncologyno. 11 (2024): 1490-1499

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Association of Gene Variant Type and Location with Breast Cancer Risk in the General Population