Breast cancer, Internal medicine, Cancer, Oncology and Genetics are his primary areas of study. Gad Rennert has researched Breast cancer in several fields, including Odds ratio, Single-nucleotide polymorphism, Gynecology and Risk factor. The Odds ratio study combines topics in areas such as Epidemiology and Family history.
His Internal medicine study incorporates themes from Endocrinology and Surgery. His work carried out in the field of Cancer brings together such families of science as Cancer research, Germline mutation and Loss of heterozygosity. His Oncology study combines topics from a wide range of disciplines, such as Prostate cancer, Gene mutation, Cancer registry, Hazard ratio and Cancer prevention.
Gad Rennert mostly deals with Internal medicine, Oncology, Colorectal cancer, Cancer and Breast cancer. Internal medicine is often connected to Endocrinology in his work. His work focuses on many connections between Oncology and other disciplines, such as Epidemiology, that overlap with his field of interest in Incidence.
Genetics covers Gad Rennert research in Colorectal cancer. His biological study spans a wide range of topics, including Germline mutation, Surgery, Family history, Gerontology and Aspirin. Gad Rennert interconnects Cancer research, Gynecology and Risk factor in the investigation of issues within Breast cancer.
Gad Rennert spends much of his time researching Internal medicine, Oncology, Colorectal cancer, Breast cancer and Cancer. His study explores the link between Internal medicine and topics such as Mendelian randomization that cross with problems in Gastroenterology. The various areas that Gad Rennert examines in his Oncology study include Body mass index, Single-nucleotide polymorphism, Lung and Confidence interval.
His research in Colorectal cancer intersects with topics in Genome-wide association study, Epidemiology, Case-control study, Genetic association and Genotype. His Breast cancer research is multidisciplinary, relying on both CHEK2, Cancer research, Mutation and Risk factor. The Cancer study combines topics in areas such as Mendelian Randomization Analysis and Candidate gene.
Kyriaki Michailidou;Kyriaki Michailidou;Sara Lindström;Sara Lindström;Joe Dennis;Jonathan Beesley
Jenny N. Poynter;Stephen B. Gruber;Peter D.R. Higgins;Ronit Almog
Nasim Mavaddat;Kyriaki Michailidou;Kyriaki Michailidou;Joe Dennis;Michael Lush
James D McKay;Rayjean J Hung;Younghun Han;Xuchen Zong
Miguel Angel Pujana;Jing Dong J Han;Lea M. Starita;Kristen N. Stevens
Albert Tenesa;Susan M Farrington;James G D Prendergast;Mary E Porteous
Robert Carreras-Torres;Mattias Johansson;Philip C. Haycock;Kaitlin H. Wade
L. Von Karsa;J. Patnick;J. Patnick;N. Segnan;W. Atkin
Andrea Eisen;Jan Lubinski;Jan Klijn;Pal Moller
Jeroen R. Huyghe;Stephanie A. Bien;Tabitha A. Harrison;Hyun Min Kang
Steven A. Narod;Marie Pierre Dubé;Jan Klijn;Jan Lubinski
Catherine M Phelan;Karoline B Kuchenbaecker;Karoline B Kuchenbaecker;Jonathan P Tyrer;Siddhartha P Kar
Nikos Papadimitriou;Niki Dimou;Konstantinos K. Tsilidis;Konstantinos K. Tsilidis;Barbara Banbury
Antonis C. Antoniou;Xianshu Wang;Zachary S. Fredericksen;Lesley McGuffog
Roger L Milne;Roger L Milne;Karoline B Kuchenbaecker;Karoline B Kuchenbaecker;Kyriaki Michailidou;Kyriaki Michailidou;Jonathan Beesley
Antonis C. Antoniou;Antonis C. Antoniou;Amanda B. Spurdle;Amanda B. Spurdle;Olga M. Sinilnikova;Olga M. Sinilnikova;Sue Healey;Sue Healey
Haoyu Zhang;Haoyu Zhang;Thomas U. Ahearn;Julie Lecarpentier;Daniel Barnes
Fergus J. Couch;Xianshu Wang;Lesley McGuffog;Andrew Lee
Gad Rennert;Shantih Bisland-Naggan;Ofra Barnett-Griness;Naomi Bar-Joseph
Jeroen R. Huyghe;Stephanie A. Bien;Tabitha A. Harrison;Hyun Min Kang
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