Polygenic risk scores for disease risk prediction in Africa: current challenges and future directions.


Journal

Genome medicine
ISSN: 1756-994X
Titre abrégé: Genome Med
Pays: England
ID NLM: 101475844

Informations de publication

Date de publication:
30 10 2023
Historique:
received: 04 03 2023
accepted: 12 10 2023
medline: 1 11 2023
pubmed: 31 10 2023
entrez: 31 10 2023
Statut: epublish

Résumé

Early identification of genetic risk factors for complex diseases can enable timely interventions and prevent serious outcomes, including mortality. While the genetics underlying many Mendelian diseases have been elucidated, it is harder to predict risk for complex diseases arising from the combined effects of many genetic variants with smaller individual effects on disease aetiology. Polygenic risk scores (PRS), which combine multiple contributing variants to predict disease risk, have the potential to influence the implementation for precision medicine. However, the majority of existing PRS were developed from European data with limited transferability to African populations. Notably, African populations have diverse genetic backgrounds, and a genomic architecture with smaller haplotype blocks compared to European genomes. Subsequently, growing evidence shows that using large-scale African ancestry cohorts as discovery for PRS development may generate more generalizable findings. Here, we (1) discuss the factors contributing to the poor transferability of PRS in African populations, (2) showcase the novel Africa genomic datasets for PRS development, (3) explore the potential clinical utility of PRS in African populations, and (4) provide insight into the future of PRS in Africa.

Identifiants

pubmed: 37904243
doi: 10.1186/s13073-023-01245-9
pii: 10.1186/s13073-023-01245-9
pmc: PMC10614359
doi:

Types de publication

Journal Article Review Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

87

Subventions

Organisme : Wellcome Trust
ID : 220740/Z/20/Z
Pays : United Kingdom
Organisme : NHGRI NIH HHS
ID : U24 HG006941
Pays : United States
Organisme : NHGRI NIH HHS
ID : U01 HG011717
Pays : United States

Informations de copyright

© 2023. The Author(s).

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Auteurs

Segun Fatumo (S)

The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM, Entebbe, Uganda. segun.fatumo@lshtm.ac.uk.
H3Africa Bioinformatics Network (H3ABioNet) Node, Centre for Genomics Research and Innovation, NABDA/FMST, Abuja, Nigeria. segun.fatumo@lshtm.ac.uk.
Department of Non-Communicable Disease Epidemiology (NCDE), London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK. segun.fatumo@lshtm.ac.uk.

Dassen Sathan (D)

H3Africa Bioinformatics Network (H3ABioNet) Node, University of Mauritius, Reduit, Mauritius.

Chaimae Samtal (C)

Laboratory of Biotechnology, Environment, Agri-Food and Health, Faculty of Sciences Dhar El Mahraz-Sidi Mohammed Ben Abdellah University, 30000, Fez, Morocco.

Itunuoluwa Isewon (I)

Department of Computer and Information Sciences, Covenant University, P. M. B. 1023, Ota, Ogun State, Nigeria.
Covenant University Bioinformatics Research (CUBRe), Covenant University, Km 10 Idiroko Road, P.M.B. 1023, Ota, Ogun State, Nigeria.
Covenant Applied Informatics and Communication African Centre of Excellence (CApIC-ACE), Covenant University, P.M.B. 1023, Ota, Ogun State, Nigeria.

Tsaone Tamuhla (T)

Division of Computational Biology, Integrative Biomedical Sciences Department, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
South African Medical Research Council Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa.

Chisom Soremekun (C)

The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM, Entebbe, Uganda.
H3Africa Bioinformatics Network (H3ABioNet) Node, Centre for Genomics Research and Innovation, NABDA/FMST, Abuja, Nigeria.
Department of Immunology and Molecular Biology, College of Health Science, Makerere University, Kampala, Uganda.

James Jafali (J)

Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi.
Clinical Infection, Microbiology & Immunology, The University of Liverpool, Liverpool, UK.

Sumir Panji (S)

Computational Biology Group, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925, South Africa.

Nicki Tiffin (N)

South African Medical Research Council Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, South Africa.

Yasmina Jaufeerally Fakim (YJ)

H3Africa Bioinformatics Network (H3ABioNet) Node, University of Mauritius, Reduit, Mauritius.

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Classifications MeSH