Evidence map›Paper›PMID 38816834›Full record

ArticleGenome medicine2024

Variability of polygenic prediction for body mass index in Africa.

Tinashe Chikowore, Kristi Läll, Lisa K Micklesfield, Zane Lombard, Julia H Goedecke, Segun Fatumo, Shane A Norris, Reedik Magi, Michele Ramsay, Paul W Franks and 2 more

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In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Tinashe ChikoworeSAMRC/Wits Developmental Pathways for Health Research Unit, Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. tinashe.chikowore@channing.harvard.edu.ORCID 0000-0002-6743-751X
Kristi LällEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Lisa K MicklesfieldSAMRC/Wits Developmental Pathways for Health Research Unit, Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Zane LombardDivision of Human Genetics, National Health Laboratory Service, and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Julia H GoedeckeSAMRC/Wits Developmental Pathways for Health Research Unit, Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Segun FatumoNCD Genomics, MRC/UVRI LSHTM Uganda Research Unit, Entebbe, Uganda.
Shane A NorrisSAMRC/Wits Developmental Pathways for Health Research Unit, Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Reedik MagiEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Michele Ramsay *Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Paul W Franks *Department of Clinical Sciences, Lund University, Helsingborg, Sweden.
Guillaume Pare *Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Canada.
Andrew P Morris *Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester, UK. andrew.morris-5@manchester.ac.uk.

Funding

Shared Core: Biobanking, Bioinformatics and Data ManagementU54HG006938 · NHGRI · WITS HEALTH CONSORTIUM (PTY), LTD · PI RAMSAY, MICHELE MICHELE · 2012 to 2022
$12.2M
H2020 European Institute of Innovation and Technology 101016775Medical Research Council MC_PC_16099Medical Research Council MR/W029626National Institute for Health Care Management Foundation U54HG006938NHGRI NIH HHS U54 HG006938Programma Operativo Nazionale Ricerca e Competitività 2014-2020.4.01.15-0012Wellcome TrustWellcome Trust 214205/Z/18/ZWellcome Trust 220740/Z/20/Z
6 · The paper itself

Abstract

backgroundPolygenic prediction studies in continental Africans are scarce. Africa's genetic and environmental diversity pose a challenge that limits the generalizability of polygenic risk scores (PRS) for body mass index (BMI) within the continent. Studies to understand the factors that affect PRS variability within Africa are required.

methodsUsing the first multi-ancestry genome-wide association study (GWAS) meta-analysis for BMI involving continental Africans, we derived a multi-ancestry PRS and compared its performance to a European ancestry-specific PRS in continental Africans (AWI-Gen study) and a European cohort (Estonian Biobank). We then evaluated the factors affecting the performance of the PRS in Africans which included fine-mapping resolution, allele frequencies, linkage disequilibrium patterns, and PRS-environment interactions.

resultsPolygenic prediction of BMI in continental Africans is poor compared to that in European ancestry individuals. However, we show that the multi-ancestry PRS is more predictive than the European ancestry-specific PRS due to its improved fine-mapping resolution. We noted regional variation in polygenic prediction across Africa's East, South, and West regions, which was driven by a complex interplay of the PRS with environmental factors, such as physical activity, smoking, alcohol intake, and socioeconomic status.

conclusionsOur findings highlight the role of gene-environment interactions in PRS prediction variability in Africa. PRS methods that correct for these interactions, coupled with the increased representation of Africans in GWAS, may improve PRS prediction in Africa.

Indexed as

Black PeopleBody Mass IndexGenome-Wide Association StudyMultifactorial InheritanceAfricaFemaleGene-Environment InteractionGene FrequencyGenetic Predisposition to DiseaseHumansLinkage DisequilibriumMalePolymorphism, Single NucleotideWhite PeopleBMIPolygenic predictionPolygenic risk scoreVariability

Identifiers

PMID38816834
PMCPMC11140909

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.