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European polygenic risk score for prediction of breast cancer shows similar performance in Asian women

Author

Listed:
  • Weang-Kee Ho

    (University of Nottingham Malaysia
    Cancer Research Malaysia)

  • Min-Min Tan

    (University of Nottingham Malaysia
    Cancer Research Malaysia)

  • Nasim Mavaddat

    (University of Cambridge)

  • Mei-Chee Tai

    (Cancer Research Malaysia)

  • Shivaani Mariapun

    (University of Nottingham Malaysia
    Cancer Research Malaysia)

  • Jingmei Li

    (Human Genetics, Genome Institute of Singapore
    National University Hospital and NUHS)

  • Peh-Joo Ho

    (Human Genetics, Genome Institute of Singapore)

  • Joe Dennis

    (University of Cambridge)

  • Jonathan P. Tyrer

    (University of Cambridge)

  • Manjeet K. Bolla

    (University of Cambridge)

  • Kyriaki Michailidou

    (University of Cambridge
    Biostatistics Unit, The Cyprus Institute of Neurology & Genetics
    Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology & Genetics)

  • Qin Wang

    (University of Cambridge)

  • Daehee Kang

    (Seoul National University College of Medicine
    Seoul National University Graduate School
    Seoul National University)

  • Ji-Yeob Choi

    (Seoul National University Graduate School
    Seoul National University)

  • Suniza Jamaris

    (University of Malaya, Jalan Universiti)

  • Xiao-Ou Shu

    (Vanderbilt University School of Medicine)

  • Sook-Yee Yoon

    (Cancer Research Malaysia)

  • Sue K. Park

    (Seoul National University College of Medicine
    Seoul National University Graduate School
    Seoul National University)

  • Sung-Won Kim

    (Daerim Saint Mary’s Hospital)

  • Chen-Yang Shen

    (Institute of Biomedical Sciences, Academia Sinica
    China Medical University)

  • Jyh-Cherng Yu

    (Tri-Service General Hospital)

  • Ern Yu Tan

    (Tan Tock Seng Hospital)

  • Patrick Mun Yew Chan

    (Tan Tock Seng Hospital)

  • Kenneth Muir

    (The University of Manchester)

  • Artitaya Lophatananon

    (The University of Manchester)

  • Anna H. Wu

    (University of Southern California)

  • Daniel O. Stram

    (University of Southern California)

  • Keitaro Matsuo

    (Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute
    Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine)

  • Hidemi Ito

    (Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute
    Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine)

  • Ching Wan Chan

    (National University of Singapore
    National University Hospital, National University Health System)

  • Joanne Ngeow

    (Division of Medical Oncology, National Cancer Centre Singapore
    Oncology Academic Clinical Program, Duke-NUS Graduate Medical School)

  • Wei Sean Yong

    (Division of Surgical Oncology, National Cancer Centre)

  • Swee Ho Lim

    (KK Women’s and Children’s Hospital)

  • Geok Hoon Lim

    (KK Women’s and Children’s Hospital)

  • Ava Kwong

    (Hong Kong Hereditary Breast Cancer Family Registry, Cancer Genetics Centre
    The University of Hong Kong
    Hong Kong Sanatorium and Hospital)

  • Tsun L. Chan

    (Hong Kong Hereditary Breast Cancer Family Registry, Cancer Genetics Centre
    Hong Kong Sanatorium and Hospital)

  • Su Ming Tan

    (General Surgery, Changi General Hospital)

  • Jaime Seah

    (General Surgery, Changi General Hospital)

  • Esther M. John

    (Stanford University School of Medicine)

  • Allison W. Kurian

    (Stanford University School of Medicine
    Stanford University School of Medicine)

  • Woon-Puay Koh

    (Health Services and Systems Research, Duke-NUS Medical School, Stanford University School of Medicine
    Saw Swee Hock School of Public Health, National University of Singapore and National University Health System)

  • Chiea Chuen Khor

    (Human Genetics, Genome Institute of Singapore)

  • Motoki Iwasaki

    (Division of Epidemiology, Center for Public Health Sciences, National Cancer Center)

  • Taiki Yamaji

    (Division of Epidemiology, Center for Public Health Sciences, National Cancer Center)

  • Kiak Mien Veronique Tan

    (Division of Surgical Oncology, National Cancer Centre
    Singapore General Hospital)

  • Kiat Tee Benita Tan

    (Division of Surgical Oncology, National Cancer Centre
    Singapore General Hospital)

  • John J. Spinelli

    (Population Oncology, BC Cancer, 675 West 10th Avenue
    University of British Columbia)

  • Kristan J. Aronson

    (Queen’s University)

  • Siti Norhidayu Hasan

    (Cancer Research Malaysia)

  • Kartini Rahmat

    (University of Malaya)

  • Anushya Vijayananthan

    (University of Malaya)

  • Xueling Sim

    (Saw Swee Hock School of Public Health, National University of Singapore and National University Health System)

  • Paul D. P. Pharoah

    (University of Cambridge
    University of Cambridge)

  • Wei Zheng

    (Vanderbilt University School of Medicine)

  • Alison M. Dunning

    (University of Cambridge)

  • Jacques Simard

    (CHU de Québec-Université Laval Research 2705 Blvd Laurier Québec (Québec) G1V 4G2)

  • Rob Martinus Dam

    (Saw Swee Hock School of Public Health, National University of Singapore and National University Health System
    National University of Singapore)

  • Cheng-Har Yip

    (Sime Darby Medical Centre)

  • Nur Aishah Mohd Taib

    (University of Malaya, Jalan Universiti)

  • Mikael Hartman

    (National University Hospital and NUHS)

  • Douglas F. Easton

    (University of Cambridge
    University of Cambridge)

  • Soo-Hwang Teo

    (Cancer Research Malaysia
    University of Malaya, Jalan Universiti)

  • Antonis C. Antoniou

    (University of Cambridge)

Abstract

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

Suggested Citation

  • Weang-Kee Ho & Min-Min Tan & Nasim Mavaddat & Mei-Chee Tai & Shivaani Mariapun & Jingmei Li & Peh-Joo Ho & Joe Dennis & Jonathan P. Tyrer & Manjeet K. Bolla & Kyriaki Michailidou & Qin Wang & Daehee K, 2020. "European polygenic risk score for prediction of breast cancer shows similar performance in Asian women," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-17680-w
    DOI: 10.1038/s41467-020-17680-w
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