Jennifer Stone

Breast Cancer Polygenic Risk Score and Contralateral Breast Cancer Risk

Iris Kramer, Maartje J Hooning, Nasim Mavaddat, Michael Hauptmann, Renske Keeman, Ewout W Steyerberg, Daniele Giardiello, Antonis C Antoniou, Paul DP 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 Benitez, Marina Bermisheva, et al.

Journal article  |  2020  |  AMERICAN JOURNAL OF HUMAN GENETICS

Previous research has shown that polygenic risk scores (PRSs) can be used to stratify women according to their risk of developing ..

Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

Haoyu Zhan, Thomas U Ahearn, Julie Lecarpentier, Daniel Barnes, Jonathan Beesley, Guanghao Qi, Xia Jiang, Tracy A O'Mara, Ni Zhao, Manjeet K Bolla, Alison M Dunning, Joe Dennis, Qin Wang, Zumuruda Abu Ful, Kristiina Aittomaki, Irene L Andrulis, Hoda Anton-Culver, Volker Arndt, Kristan J Aronson, Banu K Arun, et al.

Journal article  |  2020  |  NATURE GENETICS

Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype1-3. To identify novel loci, w..

Confusion and Anxiety Following Breast Density Notification: Fact or Fiction?

Evenda K Dench, Ellie C Darcey, Louise Keogh, Kirsty McLean, Sarah Pirikahu, Christobel Saunders, Sandra Thompson, Catherine Woulfe, Elizabeth Wylie, Jennifer Stone

Journal article  |  2020  |  JOURNAL OF CLINICAL MEDICINE

In the absence of evidence-based screening recommendations for women with dense breasts, it is important to know if breast density..

Transcriptome-wide association study of breast cancer risk by estrogen-receptor status

Helian Feng, Alexander Gusev, Bogdan Pasaniuc, Lang Wu, Jirong Long, Zomoroda Abu-full, Kristiina Aittomaki, Irene L Andrulis, Hoda Anton-Culver, Antonis C Antoniou, Adalgeir Arason, Volker Arndt, Kristan J Aronson, Banu K Arun, Ella Asseryanis, Paul L Auer, Jacopo Azzollini, Judith Balmana, Rosa B Barkardottir, Daniel R Barnes, et al.

Journal article  |  2020  |  GENETIC EPIDEMIOLOGY

Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expressio..

Assessment of interactions between 205 breast cancer susceptibility loci and 13 established risk factors in relation to breast cancer risk, in the Breast Cancer Association Consortium

Pooja Middha Kapoor, Sara Lindstrom, Sabine Behrens, Xiaoliang Wang, Kyriaki Michailidou, Manjeet K Bolla, Qin Wang, Joe Dennis, Alison M Dunning, Paul DP Pharoah, Marjanka K Schmidt, Peter Kraft, Montserrat Garcia-Closas, Douglas F Easton, Roger L Milne, Jenny Chang-Claude

Journal article  |  2020  |  INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

BACKGROUND: Previous gene-environment interaction studies of breast cancer risk have provided sparse evidence of interactions. Usi..

Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes

Laura Fachal, Hugues Aschard, Jonathan Beesley, Daniel R Barnes, Jamie Allen, Siddhartha Kar, Karen A Pooley, Joe Dennis, Kyriaki Michailidou, Constance Turman, Penny Soucy, Audrey Lemacon, Michael Lush, Jonathan P Tyrer, Maya Ghoussaini, Mahdi Moradi Marjaneh, Xia Jiang, Simona Agata, Kristiina Aittomaki, M Rosario Alonso, et al.

Journal article  |  2020  |  NATURE GENETICS

Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underl..

Measurement challenge: protocol for international case-control comparison of mammographic measures that predict breast cancer risk

Evenda Dench, Daniela Bond-Smith, Ellie Darcey, Grant Lee, Ye K Aung, Ariane Chan, Jack Cuzick, Ze Y Ding, Chris F Evans, Jennifer Harvey, Ralph Highnam, Meng-Kang Hsieh, Despina Kontos, Shuai Li, Shivaani Mariapun, Carolyn Nickson, Tuong L Nguyen, Said Pertuz, Pietro Procopio, Nadia Rajaram, et al.

Journal article  |  2019  |  BMJ OPEN

INTRODUCTION: For women of the same age and body mass index, increased mammographic density is one of the strongest predictors of ..

Interval breast cancer risk associations with breast density, family history and breast tissue aging

Tuong L Nguyen, Shuai Li, Gillian S Dite, Ye K Aung, Christopher F Evans, Ho N Trinh, Laura Baglietto, Jennifer Stone, Yun-Mi Song, Joohon Sung, Dallas R English, Mark A Jenkins, Pierre-Antoine Dugue, Roger L Milne, Melissa C Southey, Graham G Giles, Malcolm C Pike, John L Hopper

Journal article  |  2019  |  INTERNATIONAL JOURNAL OF CANCER

Interval breast cancers (those diagnosed between recommended mammography screens) generally have poorer outcomes and are more comm..

DNA methylation-based biological age, genome-wide average DNA methylation, and conventional breast cancer risk factors

Minyuan Chen, Ee Ming Wong, Tuong L Nguyen, Gillian S Dite, Jennifer Stone, Pierre-Antoine Dugue, Graham G Giles, Melissa C Southey, Roger L Milne, John L Hopper, Shuai Li

Journal article  |  2019  |  SCIENTIFIC REPORTS

DNA methylation-based biological age (DNAm age), as well as genome-wide average DNA methylation, have been reported to predict bre..

Genome-wide association study of peripheral blood DNA methylation and conventional mammographic density measures

Shuai Li, Pierre-Antoine Dugue, Laura Baglietto, Gianluca Severi, Ee Ming Wong, Tuong L Nguyen, Jennifer Stone, Dallas R English, Melissa C Southey, Graham G Giles, John L Hopper, Roger L Milne

Journal article  |  2019  |  INTERNATIONAL JOURNAL OF CANCER

Age- and body mass index (BMI)-adjusted mammographic density is one of the strongest breast cancer risk factors. DNA methylation i..