Evidence map›Paper›PMID 38234770›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Polygenic prediction of major depressive disorder and related traits in African ancestries UK Biobank participants.

S C Kanjira, M J Adams, Jiang Yunxuan, Tian Chao, 23andMe Research Team, C M Lewis, K Kuchenbaecker, A M McIntosh

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 3 countries.

S C KanjiraCentre for Clinical Brain Sciences, University of Edinburgh, UK.
M J AdamsCentre for Clinical Brain Sciences, University of Edinburgh, UK.
Jiang Yunxuan23andme Inc, Sunnyvale, CA, US.
Tian Chao23andme Inc, Sunnyvale, CA, US.
23andMe Research Team
C M LewisKings College London, London, UK.ORCID 0000-0002-8249-8476
K KuchenbaeckerUniversity College London, London, UK.
A M McIntoshCentre for Clinical Brain Sciences, University of Edinburgh, UK.ORCID 0000-0002-0198-4588
23andMe (United States) · USUniversity of Edinburgh · GBKing's College London · GBMalawi Epidemiology and Intervention Research Unit · MWUniversity College London · GB

Funding

5/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124873 · NIMH · CARDIFF UNIVERSITY · PI LEWIS, CATHRYN, O'DONOVAN, MICHAEL · 2021 to 2025
$2.6M
Medical Research Council MR/S035818/1NIMH NIH HHS R01 MH124873Wellcome Trust
6 · The paper itself

Abstract

Introduction: Genome-Wide Association Studies (GWAS) over-represent European ancestries compared to the global population, neglecting all other ancestry groups and low-income nations. Consequently, polygenic risk scores (PRS) more accurately predict complex traits in Europeans than African Ancestries groups. Very few studies have looked at the transferability of European-derived PRS for behavioural and mental health phenotypes to non-Europeans. We assessed the comparative accuracy of PRS for Major Depressive Disorder (MDD) trained on European and African Ancestries GWAS studies to predict MDD and related traits in African Ancestries participants from the UK Biobank. Methods: UK Biobank participants were selected based on Principal component analysis (PCA) clustering with an African genetic similarity reference population and MDD was assessed with the Composite International Diagnostic Interview (CIDI). Polygenic Risk Scores (PRS) were computed using PRSice2 using either European or African Ancestries GWAS summary statistics. Results: PRS trained on European ancestry samples (246,363 cases) predicted case control status in Africans of the UK Biobank with similar accuracies (190 cases, R Conclusion: GWAS studies of MDD in European ancestries are an inefficient means of improving polygenic prediction accuracy in African samples.

Identifiers

PMID38234770
PMCPMC10793522
OpenAlexW4390348658

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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.