Evidence map›Paper›PMID 37669986›Full record

SynthesisNature communications2023

Multi-trait discovery and fine-mapping of lipid loci in 125,000 individuals of African ancestry.

Abram Bunya Kamiza, Sounkou M Touré, Feng Zhou, Opeyemi Soremekun, Cheickna Cissé, Mamadou Wélé, Aboubacrine M Touré, Oyekanmi Nashiru, Manuel Corpas, Moffat Nyirenda and 8 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Multi-omics Data Integration.Advances in experimental medicine and biology · 2026
    Review
  8. Admixture mapping identifies complex trait associations with local ancestry in themedRxiv : the preprint server for health sciences · 2025
    Article
  9. Review
  10. The distribution of highly deleterious variants across human ancestry groups.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
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

18 authors.

Abram Bunya Kamiza *The African Computational Genomic (TACG) Research Group, MRC/UVRI and LSHTM, Entebbe, Uganda.ORCID http://orcid.org/0000-0002-3919-7651
Sounkou M Touré *The African Computational Genomic (TACG) Research Group, MRC/UVRI and LSHTM, Entebbe, Uganda.ORCID http://orcid.org/0009-0001-5914-6798
Feng Zhou *MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-9851-8312
Opeyemi SoremekunThe African Computational Genomic (TACG) Research Group, MRC/UVRI and LSHTM, Entebbe, Uganda.
Cheickna CisséAfrican Center of Excellence in Bioinformatics, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali.
Mamadou WéléMalawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi.
Aboubacrine M TouréFaculty of Sciences and Techniques, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali.
Oyekanmi NashiruH3Africa Bioinformatics Network (H3ABioNet) Node, Center for Genomics Research and Innovation, NABDA/FMST, Abuja, Nigeria.
Manuel CorpasSchool of Life sciences, University of Westminster, London, UK.ORCID http://orcid.org/0000-0002-4417-1018
Moffat NyirendaMedical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda.
Amelia CrampinMalawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi.
Jeffrey ShafferDepartment of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Seydou DoumbiaAfrican Center of Excellence in Bioinformatics, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali.
Eleftheria ZegginiInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.ORCID http://orcid.org/0000-0003-4238-659X
Andrew P MorrisCentre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0002-6805-6014
Jennifer L AsimitMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-4857-2249
Tinashe ChikoworeSydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID http://orcid.org/0000-0002-6743-751X
Segun FatumoThe African Computational Genomic (TACG) Research Group, MRC/UVRI and LSHTM, Entebbe, Uganda. segun.fatumo@lshtm.ac.uk.ORCID http://orcid.org/0000-0003-4525-3362

Funding

Polygenic Risk Score (PRS) Methods and Analysis for Populations of Diverse Ancestry - Study SitesU01HG011717 · NHGRI · UNIVERSITY OF MARYLAND BALTIMORE · PI ADEBAMOWO, SALLY NNEOMA, TAYO, BAMIDELE OLUSEGUN · 2021 to 2025
$4.6M
West African Center of Excellence for Global Health Bioinformatics Research TrainingU2RTW010673 · FIC · UNIV OF SCIENCES, TECH & TECH OF BAMAKO · PI DOUMBIA, SEYDOU, LI, JIAN · 2017 to 2021
$1.2M
FIC NIH HHS U2R TW010673Medical Research Council MC_UU_00002/4Medical Research Council MC_UU_00033/3Medical Research Council MR/R021368/1NHGRI NIH HHS U01 HG011717Wellcome Trust
6 · The paper itself

Abstract

Most genome-wide association studies (GWAS) for lipid traits focus on the separate analysis of lipid traits. Moreover, there are limited GWASs evaluating the genetic variants associated with multiple lipid traits in African ancestry. To further identify and localize loci with pleiotropic effects on lipid traits, we conducted a genome-wide meta-analysis, multi-trait analysis of GWAS (MTAG), and multi-trait fine-mapping (flashfm) in 125,000 individuals of African ancestry. Our meta-analysis and MTAG identified four and 14 novel loci associated with lipid traits, respectively. flashfm yielded an 18% mean reduction in the 99% credible set size compared to single-trait fine-mapping with JAM. Moreover, we identified more genetic variants with a posterior probability of causality >0.9 with flashfm than with JAM. In conclusion, we identified additional novel loci associated with lipid traits, and flashfm reduced the 99% credible set size to identify causal genetic variants associated with multiple lipid traits in African ancestry.

Indexed as

Genome-Wide Association StudyLipidsBlack PeopleHumansPhenotypeLipids

Identifiers

PMID37669986
PMCPMC10480211

What OpenQuestion holds

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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.