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Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24

Authors :
Jennifer Cullen
Brandon A. Mahal
Maria Elena Martinez
Robin J. Leach
Brent S. Rose
Marie-Élise Parent
Catherine M. Tangen
Pascal Blanchet
Tyler M. Seibert
Jong Y. Park
Jennifer J. Hu
Geraldine Cancel-Tassin
Rosalind A. Eeles
Chun Chieh Fan
Esther M. John
Roshan Karunamuni
James L. Mohler
Jack A. Taylor
Melinda C. Aldrich
Artitaya Lophatananon
Luc Multigner
Ole A. Andreassen
Thérèse Truong
Marc Romana
Florence Menegaux
Ian M. Thompson
Laurent Brureau
Kenneth Muir
Olivier Cussenot
Dana C. Crawford
Adam S. Kibel
Gyorgy Petrovics
Asona Lui
Elizabeth T. H. Fontham
Bettina F. Drake
Jeannette T. Bensen
Ian G. Mills
William S. Bush
Hui-Yi Lin
Zsofia Kote-Jarai
Wesley K. Thompson
Maureen Sanderson
Anders M. Dale
Wei Zheng
Jay H. Fowke
Phyllis J. Goodman
William J. Blot
Minh-Phuong Huynh-Le
Collaborators, UKGPCS
Consortium, PRACTICAL
University of California [San Diego] (UC San Diego)
University of California
The institute of cancer research [London]
Centre de Recherche pour les Pathologies Prostatiques [Paris] (CeRePP)
Sorbonne Université (SU)
CHU Tenon [AP-HP]
Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)
Institut de recherche en santé, environnement et travail (Irset)
Université d'Angers (UA)-Université de Rennes 1 (UR1)
Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )
CHU Pointe-à-Pitre/Abymes [Guadeloupe]
Biologie Intégrée du Globule Rouge (BIGR (UMR_S_1134 / U1134))
Institut National de la Transfusion Sanguine [Paris] (INTS)-Université de La Réunion (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pointe-à-Pitre/Abymes [Guadeloupe] -Université des Antilles (UA)-Université de Paris (UP)
This study was funded in part by grants from the University of California (#C21CR2060), the United States National Institute of Health/National Institute of Biomedical Imaging and Bioengineering (#K08EB026503), the Research Council of Norway (#223273), KG Jebsen Stiftelsen, and South East Norway Health Authority.
University of California (UC)
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )
Institut National de la Transfusion Sanguine [Paris] (INTS)-Université de La Réunion (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pointe-à-Pitre/Abymes [Guadeloupe] -Université des Antilles (UA)-Université Paris Cité (UPCité)
Source :
Prostate Cancer and Prostatic Diseases, Prostate Cancer and Prostatic Diseases, Nature Publishing Group, 2021, ⟨10.1038/s41391-021-00403-7⟩, Prostate Cancer and Prostatic Diseases, 2021, ⟨10.1038/s41391-021-00403-7⟩, UKGPCS collaborators 2021, ' Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24 ', Prostate cancer and prostatic diseases . https://doi.org/10.1038/s41391-021-00403-7
Publication Year :
2021
Publisher :
Springer Nature, 2021.

Abstract

Background We previously developed an African-ancestry-specific polygenic hazard score (PHS46+African) that substantially improved prostate cancer risk stratification in men with African ancestry. The model consists of 46 SNPs identified in Europeans and 3 SNPs from 8q24 shown to improve model performance in Africans. Herein, we used principal component (PC) analysis to uncover subpopulations of men with African ancestry for whom the utility of PHS46+African may differ. Materials and methods Genotypic data were obtained from the PRACTICAL consortium for 6253 men with African genetic ancestry. Genetic variation in a window spanning 3 African-specific 8q24 SNPs was estimated using 93 PCs. A Cox proportional hazards framework was used to identify the pair of PCs most strongly associated with the performance of PHS46+African. A calibration factor (CF) was formulated using Cox coefficients to quantify the extent to which the performance of PHS46+African varies with PC. Results CF of PHS46+African was strongly associated with the first and twentieth PCs. Predicted CF ranged from 0.41 to 2.94, suggesting that PHS46+African may be up to 7 times more beneficial to some African men than others. The explained relative risk for PHS46+African varied from 3.6% to 9.9% for individuals with low and high CF values, respectively. By cross-referencing our data set with 1000 Genomes, we identified significant associations between continental and calibration groupings. Conclusion We identified PCs within 8q24 that were strongly associated with the performance of PHS46+African. Further research to improve the clinical utility of polygenic risk scores (or models) is needed to improve health outcomes for men of African ancestry.

Details

Language :
English
ISSN :
13657852 and 14765608
Database :
OpenAIRE
Journal :
Prostate Cancer and Prostatic Diseases, Prostate Cancer and Prostatic Diseases, Nature Publishing Group, 2021, ⟨10.1038/s41391-021-00403-7⟩, Prostate Cancer and Prostatic Diseases, 2021, ⟨10.1038/s41391-021-00403-7⟩, UKGPCS collaborators 2021, ' Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24 ', Prostate cancer and prostatic diseases . https://doi.org/10.1038/s41391-021-00403-7
Accession number :
edsair.doi.dedup.....0feec86a2b047d779a593fa361303ec5
Full Text :
https://doi.org/10.1038/s41391-021-00403-7⟩