Nasim Mavaddat

ORCID: 0000-0003-0307-055X
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Research Areas
  • BRCA gene mutations in cancer
  • Global Cancer Incidence and Screening
  • Genetic Associations and Epidemiology
  • Cancer Genomics and Diagnostics
  • Nutrition, Genetics, and Disease
  • Radiomics and Machine Learning in Medical Imaging
  • Cancer Risks and Factors
  • Immune Cell Function and Interaction
  • T-cell and B-cell Immunology
  • Immunotherapy and Immune Responses
  • Gene expression and cancer classification
  • Ovarian cancer diagnosis and treatment
  • Health Systems, Economic Evaluations, Quality of Life
  • CRISPR and Genetic Engineering
  • Genetics, Bioinformatics, and Biomedical Research
  • Genetic factors in colorectal cancer
  • Bioinformatics and Genomic Networks
  • Genomic variations and chromosomal abnormalities
  • AI in cancer detection
  • Breast Cancer Treatment Studies
  • Computational Drug Discovery Methods
  • Economic Sanctions and International Relations
  • RNA Research and Splicing
  • Metal complexes synthesis and properties
  • Chromatography in Natural Products

University of Cambridge
2016-2025

Weatherford College
2025

MRC Epidemiology Unit
2010-2023

Cancer Research Center
2021-2023

Centro de Investigación del Cáncer
2023

Centre de Recherche en Cancérologie de Lyon
2023

University of Wisconsin–Madison
2022

University of Manchester
2021

St Mary's Hospital
2021

Edinburgh Cancer Research
2021

Nasim Mavaddat Kyriaki Michailidou Joe Dennis Michael Lush Laura Fachal and 95 more Andrew Lee Jonathan P. Tyrer Ting‐Huei Chen Qin Wang Manjeet K. Bolla Xin Yang Muriel A. Adank Thomas U. Ahearn Kristiina Aittomäki Jamie Allen Irene L. Andrulis Hoda Anton‐Culver Natalia Antonenkova Volker Arndt Kristan J. Aronson Paul L. Auer Päivi Auvinen Myrto Barrdahl Laura E. Beane Freeman Matthias W. Beckmann Sabine Behrens Javier Benı́tez Marina Bermisheva Leslie Bernstein Carl Blomqvist Natalia Bogdanova Stig E. Bojesen Bernardo Bonanni Anne‐Lise Børresen‐Dale Hiltrud Brauch Michael Bremer Hermann Brenner Adam R. Brentnall Ian W. Brock Angela Brooks‐Wilson Sara Y. Brucker Thomas Brüning Barbara Burwinkel Daniele Campa Brian D. Carter Jose E. Castelao Stephen J. Chanock Rowan T. Chlebowski Hans Christiansen Christine L. Clarke J. Margriet Collée Emilie Cordina‐Duverger Sten Cornelissen Fergus J. Couch Angela Cox Simon S. Cross Kamila Czene Mary B. Daly Peter Devilee Thilo Dörk Isabel dos‐Santos‐Silva Martine Dumont Lorraine Durcan Miriam Dwek Diana Eccles Arif B. Ekici A. Heather Eliassen Carolina Ellberg Christoph Engel Mikael Eriksson D. Gareth Evans Peter A. Fasching Jonine D. Figueroa Olivia Fletcher Henrik Flyger Asta Försti Lin Fritschi Marike Gabrielson Manuela Gago‐Dominguez Susan M. Gapstur José Á. García-Sáenz Mia M. Gaudet V. Georgoulias Graham G. Giles I. R. Gilyazova Gord Glendon Mark S. Goldberg David E. Goldgar Anna González‐Neira Grethe I.G. Alnæs Mervi Grip Jacek Gronwald Anne Grundy Pascal Guénel Lothar Haeberle Eric Hahnen Christopher A. Haiman Niclas Håkansson Ute Hamann Susan E. Hankinson

Stratification of women according to their risk breast cancer based on polygenic scores (PRSs) could improve screening and prevention strategies. Our aim was develop PRSs, optimized for prediction estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset empirically validate PRSs in prospective studies. The development comprised 94,075 case subjects 75,017 control European ancestry 69 studies, divided into training validation sets. Samples were...

10.1016/j.ajhg.2018.11.002 article EN cc-by-nc-nd The American Journal of Human Genetics 2018-12-13

Reliable estimates of cancer risk are critical for guiding management BRCA1 and BRCA2 mutation carriers. The aims this study were to derive penetrance breast cancer, ovarian contralateral in a prospective series carriers assess how these risks modified by common susceptibility alleles. Prospective estimated using cohort 978 909 from the United Kingdom. Nine hundred eighty-eight women had no or diagnosis at baseline, 1509 unaffected 651 been diagnosed with unilateral cancer. Cumulative...

10.1093/jnci/djt095 article EN JNCI Journal of the National Cancer Institute 2013-04-01
Leila Dorling Sara Carvalho Jamie Allen Anna González‐Neira Craig Luccarini and 95 more Cecilia Wahlström Karen A. Pooley Michael T. Parsons Cristina Fortuño Qin Wang Manjeet K. Bolla Joe Dennis Renske Keeman M. Rosario Alonso Núria Álvarez Belén Herráez María Victoria Fernández Rocío Núñez‐Torres Ana Osório Jeanette Valcich Minerva Li Therese Törngren Patricia Harrington Caroline Baynes Don Conroy Brennan Decker Laura Fachal Nasim Mavaddat Thomas U. Ahearn Kristiina Aittomäki Natalia Antonenkova Norbert Arnold Patrick Arveux Margreet G.E.M. Ausems Päivi Auvinen Heiko Becher Matthias W. Beckmann Sabine Behrens Marina Bermisheva Katarzyna Białkowska Carl Blomqvist Natalia Bogdanova Nadja Bogdanova-Markov Stig E. Bojesen Bernardo Bonanni Anne‐Lise Børresen‐Dale Hiltrud Brauch Michael Bremer Ignacio Briceño Thomas Brüning Barbara Burwinkel David Cameron Nicola J. Camp Archie Campbell Ángel Carracedo Jose E. Castelao Melissa H. Cessna Stephen J. Chanock Hans Christiansen J. Margriet Collée Emilie Cordina‐Duverger Sten Cornelissen Kamila Czene Thilo Dörk Arif B. Ekici Christoph Engel Mikael Eriksson Peter A. Fasching Jonine D. Figueroa Henrik Flyger Asta Försti Marike Gabrielson Manuela Gago‐Dominguez V. Georgoulias Fabián Gil Graham G. Giles Gord Glendon E. Gómez Grethe I.G. Alnæs Pascal Guénel Andreas Hadjisavvas Lothar Haeberle Eric Hahnen Per Hall Ute Hamann Elaine F. Harkness Jaana M. Hartikainen Mikael Hartman Wei He Bernadette A. M. Heemskerk‐Gerritsen Peter Hillemanns Frans B.L. Hogervorst Antoinette Hollestelle Weang-Kee Ho Maartje J. Hooning Anthony Howell Keith Humphreys Faiza Idris Anna Jakubowska Audrey Jung

Genetic testing for breast cancer susceptibility is widely used, but many genes, evidence of an association with weak, underlying risk estimates are imprecise, and reliable subtype-specific lacking.

10.1056/nejmoa1913948 article EN New England Journal of Medicine 2021-01-20
Nasim Mavaddat Daniel Barrowdale Irene L. Andrulis Susan M. Domchek Diana Eccles and 95 more Heli Nevanlinna Susan J. Ramus Amanda B. Spurdle Mark E. Robson Mark E. Sherman Anna Marie Mulligan Fergus J. Couch Christoph Engel Lesley McGuffog Sue Healey Olga M. Sinilnikova Melissa C. Southey Mary Beth Terry David E. Goldgar Frances P. O’Malley Esther M. John Ramūnas Janavičius Laima Tihomirova Thomas van Overeem Hansen Finn C. Nielsen Ana Osório Alexandra Stavropoulou Javier Benı́tez Siranoush Manoukian Bernard Peissel Monica Barile Sara Volorio Barbara Pasini Riccardo Dolcetti Anna Laura Putignano Laura Ottini Paolo Radice Ute Hamann Muhammad Usman Rashid Frans B.L. Hogervorst Mieke Kriege Rob B. van der Luijt Susan Peock Debra Frost D. Gareth Evans Carole Brewer Lisa Walker Mark T. Rogers Lucy Side Catherine Houghton JoEllen Weaver Andrew K. Godwin Rita K. Schmutzler Barbara Wappenschmidt Alfons Meindl Karin Kast Norbert Arnold Dieter Niederacher Christian Sutter Helmut Deißler Doroteha Gadzicki Sabine Preisler‐Adams Raymonda Varon-Mateeva Ines Schönbuchner Heidrun Gevensleben Dominique Stoppa‐Lyonnet Muriel Belotti Laure Barjhoux Claudine Isaacs Beth N. Peshkin Trinidad Caldés Miguel de la Hoya Carmen Cañadas Tuomas Heikkinen Päivi Heikkilä Kristiina Aittomäki Ignacio Blanco Conxi Lázaro Joan Brunet Bjarni A. Agnarsson Aðalgeir Arason Rósa B. Barkardóttir Martine Dumont Jacques Simard Marco Montagna Simona Agata Emma D’Andrea Max Yan Stephen B. Fox Timothy R. Rebbeck Wendy S. Rubinstein Nadine Tung Judy E. Garber Xianshu Wang Zachary Fredericksen V. Shane Pankratz Noralane M. Lindor Csilla I. Szabo Kenneth Offit Rita A. Sakr

Abstract Background: Previously, small studies have found that BRCA1 and BRCA2 breast tumors differ in their pathology. Analysis of larger datasets mutation carriers should allow further tumor characterization. Methods: We used data from 4,325 2,568 to analyze the pathology invasive breast, ovarian, contralateral cancers. Results: There was strong evidence proportion estrogen receptor (ER)-negative decreased with age at diagnosis among (P-trend = 1.2 × 10−5), but increased BRCA2, 6.8 10−6)....

10.1158/1055-9965.epi-11-0775 article EN Cancer Epidemiology Biomarkers & Prevention 2012-01-01

Breast cancer (BC) risk prediction allows systematic identification of individuals at highest and lowest risk. We extend the Ovarian Analysis Disease Incidence Carrier Estimation Algorithm (BOADICEA) model to incorporate effects polygenic scores (PRS) other factors (RFs).

10.1038/s41436-018-0406-9 article EN cc-by Genetics in Medicine 2019-01-09
Nasim Mavaddat Paul D.P. Pharoah Kyriaki Michailidou Jonathan P. Tyrer Mark N. Brook and 95 more Manjeet K. Bolla Qin Wang Joe Dennis Alison M. Dunning Mitul Shah Robert Luben Judith Brown Stig E. Bojesen Børge G. Nordestgaard Sune F. Nielsen Henrik Flyger Kamila Czene Hatef Darabi Mikael Eriksson Julian Peto Isabel dos‐Santos‐Silva Frank Dudbridge Nichola Johnson Marjanka K. Schmidt Annegien Broeks Senno Verhoef Emiel J. Rutgers Anthony J. Swerdlow Alan Ashworth Nick Orr Minouk J. Schoemaker Jonine D. Figueroa Stephen J. Chanock Louise A. Brinton Jolanta Lissowska Fergus J. Couch Janet E. Olson Celine M. Vachon V. Shane Pankratz Diether Lambrechts Hans Wildiers Chantal Van Ongeval Erik Van Limbergen Vessela Kristensen Grethe Grenaker Alnæs Silje Nord Anne‐Lise Børresen‐Dale Heli Nevanlinna Taru Muranen Kristiina Aittomäki Carl Blomqvist Jenny Chang‐Claude Anja Rudolph Petra Seibold Dieter Flesch‐Janys Peter A. Fasching Lothar Haeberle Arif B. Ekici Matthias W. Beckmann Barbara Burwinkel Frederik Marmé Andreas Schneeweiß Christof Sohn Amy Trentham‐Dietz Polly A. Newcomb Linda Titus Kathleen M. Egan David J. Hunter Sara Lindström Rulla M. Tamimi Peter Kraft Nazneen Rahman Clare Turnbull Anthony Renwick Sheila Seal Jingmei Li Jianjun Liu Keith Humphreys Javier Benı́tez M. Pilar Zamora José Ignacio Arias Pérez Primitiva Menéndez Anna Jakubowska Jan Lubiński Katarzyna Jaworska–Bieniek Katarzyna Durda Natalia Bogdanova Natalia Antonenkova Thilo Dörk Hoda Anton‐Culver Susan L. Neuhausen Argyrios Ziogas Leslie Bernstein Peter Devilee Robert A.E.M. Tollenaar Caroline Seynaeve Christi J. van Asperen Angela Cox Simon S. Cross Malcolm Reed

Data for multiple common susceptibility alleles breast cancer may be combined to identify women at different levels of risk. Such stratification could guide preventive and screening strategies. However, empirical evidence genetic risk is lacking. We investigated the value using 77 cancer-associated single nucleotide polymorphisms (SNPs) stratification, in a study 33 673 cases 381 control European origin. tested all possible pair-wise multiplicative interactions constructed 77-SNP polygenic...

10.1093/jnci/djv036 article EN cc-by JNCI Journal of the National Cancer Institute 2015-04-02
Nasim Mavaddat Leila Dorling Sara Carvalho Jamie Allen Anna González‐Neira and 89 more Renske Keeman Manjeet K. Bolla Joe Dennis Qin Wang Thomas U. Ahearn Irene L. Andrulis Matthias W. Beckmann Sabine Behrens Javier Benı́tez Marina Bermisheva Carl Blomqvist Natalia Bogdanova Stig E. Bojesen Ignacio Briceño Thomas Brüning Nicola J. Camp Archie Campbell Jose E. Castelao Jenny Chang‐Claude Stephen J. Chanock Georgia Chenevix‐Trench Hans Christiansen Kamila Czene Thilo Dörk Mikael Eriksson D. Gareth Evans Peter A. Fasching Jonine D. Figueroa Henrik Flyger Marike Gabrielson Manuela Gago‐Dominguez Jürgen Geisler Graham G. Giles Pascal Guénel Andreas Hadjisavvas Eric Hahnen Per Hall Ute Hamann Jaana M. Hartikainen Mikael Hartman Reiner Hoppe Sacha J. Howell Anna Jakubowska Audrey Jung Э. К. Хуснутдинова Vessela N. Kristensen Jingmei Li Swee Ho Lim Annika Lindblom Maria A. Loizidou Artitaya Lophatananon Jan Lubiński Michael J. Madsen Graham J. Mann Mehdi Manoochehri Sara Margolin Dimitrios Mavroudis Roger L. Milne Nur Aishah Mohd Taib Anna Morra Kenneth Muir Nadia Obi Ana Osório Tjoung‐Won Park‐Simon Paolo Peterlongo Paolo Radice Emmanouil Saloustros Elinor J. Sawyer Rita K. Schmutzler Mitul Shah Xueling Sim Melissa C. Southey Heather Thorne Ian Tomlinson Diana Torres Thérèse Truong Cheng Har Yip Amanda B. Spurdle Maaike P.G. Vreeswijk Alison M. Dunning Montserrat García‐Closas Paul D.P. Pharoah Anders Kvist Taru Muranen Heli Nevanlinna Soo‐Hwang Teo Peter Devilee Marjanka K. Schmidt Douglas F. Easton

Rare germline genetic variants in several genes are associated with increased breast cancer (BC) risk, but their precise contributions to different disease subtypes unclear. This information is relevant guidelines for gene panel testing and risk prediction.To characterize tumors BC susceptibility large-scale population- or hospital-based studies.The multicenter, international case-control analysis of the BRIDGES study included 42 680 patients 46 387 control participants, comprising women...

10.1001/jamaoncol.2021.6744 article EN cc-by JAMA Oncology 2022-01-27

Polygenic risk scores (PRS) have been shown to predict breast cancer in European women, but their utility Asian women is unclear. Here we evaluate the best performing PRSs for European-ancestry using data from 17,262 cases and 17,695 controls of ancestry 13 case-control studies, 10,255 Chinese a prospective cohort (413 incident cancers). Compared middle quintile distribution, highest 1% PRS distribution ~2.7-fold lowest has ~0.4-fold developing cancer. There no evidence heterogeneity...

10.1038/s41467-020-17680-w article EN cc-by Nature Communications 2020-07-31
Daniel R. Barnes Matti A. Rookus Lesley McGuffog Goska Leslie Thea M. Mooij and 95 more Joe Dennis Nasim Mavaddat Julian Adlard Munaza Ahmed Kristiina Aittomäki Nadine Andrieu Irene L. Andrulis Norbert Arnold Banu K. Arun Jacopo Azzollini Judith Balmañà Rósa B. Barkardóttir Daniel Barrowdale Javier Benı́tez Pascaline Berthet Katarzyna Białkowska Amie Blanco Marinus J. Blok Bernardo Bonanni Susanne E. Boonen Åke Borg Anikó Bozsik Angela R. Bradbury Paul Brennan Carole Brewer Joan Brunet Saundra S. Buys Trinidad Caldés Maria A. Caligo Ian Campbell Lise Lotte Christensen Wendy K. Chung Kathleen Claes Chrystelle Colas Pascaline Berthet Chrystelle Colas Marie‐Agnès Collonge‐Rame Capucine Delnatte Laurence Faivre Sophie Giraud Christine Lasset Véronique Mari Noura Mebirouk Emmanuelle Mouret‐Fourme Hélène Schuster Dominique Stoppa‐Lyonnet Julian Adlard Munaza Ahmed Antonis C. Antoniou Daniel Barrowdale Paul Brennan Carole Brewer Jackie Cook Rosemarie Davidson Douglas F. Easton Rosalind A. Eeles D. Gareth Evans Debra Frost Helen Hanson Louise Izatt Kai-Ren Ong Lucy Side Aoife O’Shaughnessy-Kirwan Marc Tischkowitz Lisa Walker Marie‐Agnès Collonge‐Rame Jackie Cook Mary B. Daly Rosemarie Davidson Miguel de la Hoya Robin De Putter Capucine Delnatte Peter Devilee Orland Dı́ez Yuan Chun Ding Susan M. Domchek Cecilia M. Dorfling Martine Dumont Rosalind A. Eeles Bent Ejlertsen Christoph Engel D. Gareth Evans Laurence Faivre Lenka Foretová Florentia Fostira Michael Friedlander Eitan Friedman Debra Frost Patricia A. Ganz Judy E. Garber Andrea Gehrig Anne–Marie Gerdes Paul Gesta Sophie Giraud Gord Glendon

We assessed the associations between population-based polygenic risk scores (PRS) for breast (BC) or epithelial ovarian cancer (EOC) with risks BRCA1 and BRCA2 pathogenic variant carriers. Retrospective cohort data on 18,935 12,339 female carriers of European ancestry were available. Three versions a 313 single-nucleotide polymorphism (SNP) BC PRS evaluated based whether they predict overall, estrogen receptor (ER)-negative, ER-positive BC, two overall high-grade serous EOC. Associations...

10.1038/s41436-020-0862-x article EN cc-by Genetics in Medicine 2020-07-14

Polygenic risk scores (PRS) for breast cancer can be used to stratify the population into groups at substantially different levels of risk. Combining PRS and environmental factors will improve prediction; however, integrating prediction models requires evaluation their joint association with known factors. Analyses were based on data from 20 studies; datasets analysed ranged 3453 23 104 invasive cases similar numbers controls, depending factor. We evaluated associations a 77-single...

10.1093/ije/dyx242 article EN public-domain International Journal of Epidemiology 2017-11-23

Background The multifactorial Breast and Ovarian Analysis of Disease Incidence Carrier Estimation Algorithm (BOADICEA) breast cancer risk prediction model has been recently extended to consider all established factors. We assessed the clinical validity in a large independent prospective cohort. Methods validated BOADICEA (V.6) Swedish KARolinska Mammography Project for Risk Prediction Cancer (KARMA) cohort including 66 415 women European ancestry (median age 54 years, IQR 45–63; 816 incident...

10.1136/jmg-2022-108806 article EN cc-by Journal of Medical Genetics 2022-09-26

Background BOADICEA (Breast and Ovarian Analysis of Disease Incidence Carrier Estimation Algorithm) for breast cancer the epithelial tubo-ovarian (EOC) models included in CanRisk tool ( www.canrisk.org ) provide future risks based on pathogenic variants cancer-susceptibility genes, polygenic risk scores, density, questionnaire-based factors family history. Here, we extend to include effects recently established EOC susceptibility up-to-date age-specific pathology distributions continuous...

10.1136/jmedgenet-2022-108471 article EN cc-by Journal of Medical Genetics 2022-09-26

The multifactorial risk prediction model BOADICEA enables identification of women at higher or lower developing breast cancer. models genetic susceptibility in terms the effects rare variants cancer genes and a polygenic component, decomposed into an unmeasured measured component - score (PRS). current version was developed using 313 SNP PRS. Here, we evaluated approaches to incorporating this PRS alternative BOADICEA.

10.1158/1055-9965.epi-22-0756 article EN cc-by Cancer Epidemiology Biomarkers & Prevention 2023-01-13

Signaling lymphocytic activating molecule ((SLAM) CDw150) is a glycoprotein that belongs to the CD2 subset of immunoglobulin superfamily and expressed on surface activated T- B-cells. It has been proposed SLAM homophilic required for bidirectional signaling during B-cell activation. Previous work suggested affinity self-association might be unusually high, undermining concept protein interactions mediating transient cell-cell contacts, such as those involving leukocytes, have weak in order...

10.1074/jbc.m004117200 article EN cc-by Journal of Biological Chemistry 2000-09-01

<h3>Background</h3> Risk prediction models are widely used in clinical genetic counselling. Despite their frequent use, the risk BOADICEA, BRCAPRO, IBIS and extended Claus model (eCLAUS), to estimate <i>BRCA1/2</i> mutation carrier probabilities, have never been comparatively evaluated a large sample from central Europe. Additionally, novel version of BOADICEA that incorporates tumour pathology information has not yet validated. <h3>Patients methods</h3> Using data 7352 German families we...

10.1136/jmedgenet-2012-101415 article EN Journal of Medical Genetics 2013-04-06

Abstract Background The effect of risk-reducing salpingo-oophorectomy (RRSO) on breast cancer risk for BRCA1 and BRCA2 mutation carriers is uncertain. Retrospective analyses have suggested a protective but may be substantially biased. Prospective studies had limited power, particularly carriers. Further, previous not considered the RRSO in context natural menopause. Methods A multi-centre prospective cohort 2272 1605 was followed mean 5.4 4.9 years, respectively; 426 women developed incident...

10.1186/s13058-020-1247-4 article EN cc-by Breast Cancer Research 2020-01-16
Pooja Middha Nasim Mavaddat Parichoy Pal Choudhury Amber N. Wilcox Sara Lindström and 95 more Sabine Behrens Kyriaki Michailidou Joe Dennis Manjeet K. Bolla Qin Wang Audrey Jung Zomoroda Abu‐Ful Thomas U. Ahearn Irene L. Andrulis Hoda Anton‐Culver Volker Arndt Kristan J. Aronson Paul L. Auer Laura E. Beane Freeman Heiko Becher Matthias W. Beckmann Alicia Beeghly‐Fadiel Javier Benı́tez Leslie Bernstein Stig E. Bojesen Hiltrud Brauch Hermann Brenner Thomas Brüning Qiuyin Cai Daniele Campa Federico Canzian Ángel Carracedo Brian D. Carter Jose E. Castelao Stephen J. Chanock Nilanjan Chatterjee Georgia Chenevix‐Trench Christine L. Clarke Fergus J. Couch Angela Cox Simon S. Cross Kamila Czene James Y. Dai H. Shelton Earp Arif B. Ekici A. Heather Eliassen Mikael Eriksson D. Gareth Evans Peter A. Fasching Jonine D. Figueroa Lin Fritschi Marike Gabrielson Manuela Gago‐Dominguez Chi Gao Susan M. Gapstur Mia M. Gaudet Graham G. Giles Anna González‐Neira Pascal Guénel Lothar Haeberle Christopher A. Haiman Niclas Håkansson Per Hall Ute Hamann Sigrid Hatse Jane Heyworth Bernd Holleczek Robert N. Hoover John L. Hopper Anthony Howell David J. Hunter Esther M. John Michael E. Jones Rudolf Kaaks Renske Keeman Cari M. Kitahara Yon-Dschun Ko Stella Koutros Allison W. Kurian Diether Lambrechts Loı̈c Le Marchand Eunjung Lee Flavio Lejbkowicz Martha S. Linet Jolanta Lissowska Ana Llaneza Robert J. MacInnis Maria Elena Martinez Tabea Maurer Catriona McLean Susan L. Neuhausen William G. Newman Aaron D. Norman Katie M. O’Brien Andrew F. Olshan Janet E. Olson Håkan Olsson Nick Orr Charles M. Perou Guillermo Pita

We evaluated the joint associations between a new 313-variant PRS (PRS313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases 80 354 controls from Breast Cancer Association Consortium. Interactions were standard logistic regression newly developed case-only method overall by estrogen receptor status. After accounting multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined...

10.1093/jnci/djaa056 article EN cc-by JNCI Journal of the National Cancer Institute 2020-04-23

Background Mammography screening reduces breast cancer mortality, but a proportion of cancers are missed and detected at later stages or develop during between-screening intervals. Purpose To risk model based on negative mammograms that identifies women likely to be diagnosed with before the next examination. Materials Methods This study was prospective cohort Karolinska Project for Risk Prediction Breast Cancer (KARMA), 2011-2017. An image-based developed by using Stratus method...

10.1148/radiol.2020201620 article EN Radiology 2020-09-08
Iris Kramer Maartje J. Hooning Nasim Mavaddat Michael Hauptmann Renske Keeman and 95 more Ewout W. Steyerberg Daniele Giardiello Antonis C. Antoniou Paul D.P. Pharoah Sander Canisius Zumuruda Abu-Ful Irene L. Andrulis Hoda Anton‐Culver Kristan J. Aronson Annelie Augustinsson Heiko Becher Matthias W. Beckmann Sabine Behrens Javier Benı́tez Marina Bermisheva Natalia Bogdanova Stig E. Bojesen Manjeet K. Bolla Bernardo Bonanni Hiltrud Brauch Michael Bremer Sara Y. Brucker Barbara Burwinkel Jose E. Castelao Tsun Leung Chan Jenny Chang‐Claude Stephen J. Chanock Georgia Chenevix‐Trench Ji‐Yeob Choi Christine L. Clarke Margriet Collée Fergus J. Couch Angela Cox Simon S. Cross Kamila Czene Mary B. Daly Peter Devilee Thilo Dörk Isabel dos‐Santos‐Silva Alison M. Dunning Miriam Dwek Diana Eccles D. Gareth Evans Peter A. Fasching Henrik Flyger Manuela Gago‐Dominguez Montserrat García‐Closas José Á. García-Sáenz Graham G. Giles David E. Goldgar Anna González‐Neira Christopher A. Haiman Niclas Håkansson Ute Hamann Mikael Hartman Bernadette A. M. Heemskerk‐Gerritsen Antoinette Hollestelle John L. Hopper Ming‐Feng Hou Anthony Howell Hidemi Ito Milena Jakimovska Anna Jakubowska Wolfgang Janni Esther M. John Audrey Jung Daehee Kang C. Marleen Kets Э. К. Хуснутдинова Yon‐Dschun Ko Vessela N. Kristensen Allison W. Kurian Ava Kwong Diether Lambrechts Loı̈c Le Marchand Jingmei Li Annika Lindblom Jan Lubiński Graham J. Mann Mehdi Manoochehri Sara Margolin Keitaro Matsuo Dimitrios Mavroudis Thomas Ind Roger L. Milne Anna Marie Mulligan Taru Muranen Susan L. Neuhausen Heli Nevanlinna William G. Newman Andrew F. Olshan Janet E. Olson Håkan Olsson Tjoung‐Won Park‐Simon Julian Peto

10.1016/j.ajhg.2020.09.001 article EN publisher-specific-oa The American Journal of Human Genetics 2020-10-05
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