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Differences in polygenic score distributions in European ancestry populations: implications for breast cancer risk prediction.

Kristia Yiangou ,
Nasim Mavaddat ,
Joe Dennis ,
Maria Zanti ,
Qin Wang ,
Manjeet K Bolla ,
Mustapha Abubakar ,
Thomas U Ahearn ,
Irene L Andrulis ,
Hoda Anton-Culver ,
Natalia N Antonenkova ,
Volker Arndt ,
Kristan J Aronson ,
Annelie Augustinsson ,
Adinda Baten ,
Sabine Behrens ,
Marina Bermisheva ,
Amy Berrington de Gonzalez ,
Katarzyna Białkowska ,
Nicholas Boddicker ,
Clara Bodelon ,
Natalia V Bogdanova ,
Stig E Bojesen ,
Kristen D Brantley ,
Hiltrud Brauch ,
Hermann Brenner ,
Nicola J Camp ,
Federico Canzian ,
Jose E Castelao ,
Melissa H Cessna ,
Jenny Chang-Claude ,
Georgia Chenevix-Trench ,
Wendy K Chung ,
,
Sarah V Colonna ,
Fergus J Couch ,
Angela Cox ,
Simon S Cross ,
Kamila Czene ,
Mary B Daly ,
Peter Devilee ,
Thilo Dörk ,
Alison M Dunning ,
Diana M Eccles ,
A Heather Eliassen ,
Christoph Engel ,
Mikael Eriksson ,
D Gareth Evans ,
Peter A Fasching ,
Olivia Fletcher ,
Henrik Flyger ,
Lin Fritschi ,
Manuela Gago-Dominguez ,
Aleksandra Gentry-Maharaj ,
Anna González-Neira ,
Pascal Guénel ,
Eric Hahnen ,
Christopher A Haiman ,
Ute Hamann ,
Jaana M Hartikainen ,
Vikki Ho ,
James Hodge ,
Antoinette Hollestelle ,
Ellen Honisch ,
Maartje J Hooning ,
Reiner Hoppe ,
John L Hopper ,
Sacha Howell ,
Anthony Howell ,
,
,
Simona Jakovchevska ,
Anna Jakubowska ,
Helena Jernström ,
Nichola Johnson ,
Rudolf Kaaks ,
Elza K Khusnutdinova ,
Cari M Kitahara ,
Stella Koutros ,
Vessela N Kristensen ,
James V Lacey ,
Diether Lambrechts ,
Flavio Lejbkowicz ,
Annika Lindblom ,
Michael Lush ,
Arto Mannermaa ,
Dimitrios Mavroudis ,
Usha Menon ,
Rachel A Murphy ,
Heli Nevanlinna ,
Nadia Obi ,
Kenneth Offit ,
Tjoung-Won Park-Simon ,
Alpa V Patel ,
Cheng Peng ,
Paolo Peterlongo ,
Guillermo Pita ,
Dijana Plaseska-Karanfilska ,
Katri Pylkäs ,
Paolo Radice ,
Muhammad U Rashid ,
Gad Rennert ,
Eleanor Roberts ,
Juan Rodriguez ,
Atocha Romero ,
Efraim H Rosenberg ,
Emmanouil Saloustros ,
Dale P Sandler ,
Elinor J Sawyer ,
Rita K Schmutzler ,
Christopher G Scott ,
Xiao-Ou Shu ,
Melissa C Southey ,
Jennifer Stone ,
Jack A Taylor ,
Lauren R Teras ,
Irma van de Beek ,
Walter Willett ,
Robert Winqvist ,
Wei Zheng ,
Celine M Vachon ,
Marjanka K Schmidt ,
Per Hall ,
Robert J MacInnis ,
Roger L Milne ,
Paul D P Pharoah ,
Jacques Simard ,
Antonis C Antoniou ,
Douglas F Easton ,
Kyriaki Michailidou

Abstract

The 313-variant polygenic risk score (PRS313) provides a promising tool for breast cancer risk prediction. However, evaluation of the PRS313 across different European populations which could influence risk estimation has not been performed. Here, we explored the distribution of PRS313 across European populations using genotype data from 94,072 females without breast cancer, of European-ancestry from 21 countries participating in the Breast Cancer Association Consortium (BCAC) and 225,105 female participants from the UK Biobank. The mean PRS313 differed markedly across European countries, being highest in south-eastern Europe and lowest in north-western Europe. Using the overall European PRS313 distribution to categorise individuals leads to overestimation and underestimation of risk in some individuals from south-eastern and north-western countries, respectively. Adjustment for principal components explained most of the observed heterogeneity in mean PRS. Country-specific PRS distributions may be used to calibrate risk categories in individuals from different countries.

More about this publication

medRxiv : the preprint server for health sciences

Publication date 13-02-2024

Full text links

Publisher website (DOI) 10.1101/2024.02.12.24302043
Europe PubMed Central 38410445
Pubmed 38410445

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