Evidence map›Paper›PMID 37719143›Full record

ArticleCell genomics2023

Whole-genome sequencing across 449 samples spanning 47 ethnolinguistic groups provides insights into genetic diversity in Nigeria.

Esha Joshi, Arjun Biddanda, Jumi Popoola, Aminu Yakubu, Oluyemisi Osakwe, Delali Attipoe, 54gene Team, NCD-GHS Consortium, Estelle Dogbo, Babatunde Salako and 7 more

Abstract read
In one paragraph

Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Sudan's complex genetic admixture history drives adaptation to malaria in Sudanese Copts.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Review
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

17 authors.

Esha Joshi54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
Arjun Biddanda54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
Jumi Popoola54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
Aminu Yakubu54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
Oluyemisi Osakwe54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
Delali Attipoe54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
54gene Team
NCD-GHS Consortium
Estelle Dogbo54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
Babatunde SalakoNigerian Institute of Medical Research, Lagos 101245, Nigeria.
Oyekanmi NashCenter for Genomics Research and Innovation, National Agency for Biotechnology Development, Abuja 09004, Nigeria.
Omolola SalakoCollege of Medicine University of Lagos, Lagos 101233, Nigeria.
Olubukunola Oyedele54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
Golibe Eze-Echesi54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
Segun FatumoH3Africa Bioinformatics Network (H3ABioNet) Node, Centre for Genomics Research and Innovation, NABDA/FMST, Abuja 09004, Nigeria.
Abasi Ene-Obong54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.
Colm O'Dushlaine54gene, Inc., 1100 15th St. NW, Washington, DC 20005, USA.

Funding

Medical Research Council MC_UU_00033/3
6 · The paper itself

Abstract

African populations have been drastically underrepresented in genomics research, and failure to capture the genetic diversity across the numerous ethnolinguistic groups (ELGs) found on the continent has hindered the equity of precision medicine initiatives globally. Here, we describe the whole-genome sequencing of 449 Nigerian individuals across 47 unique self-reported ELGs. Population structure analysis reveals genetic differentiation among our ELGs, consistent with previous findings. From the 36 million SNPs and insertions or deletions (indels) discovered in our dataset, we provide a high-level catalog of both novel and medically relevant variation present across the ELGs. These results emphasize the value of this resource for genomics research, with added granularity by representing multiple ELGs from Nigeria. Our results also underscore the potential of using these cohorts with larger sample sizes to improve our understanding of human ancestry and health in Africa.

Indexed as

genomicsNigerianon-communicable diseasespopulation geneticsprecision medicinewhole-genome sequencing

Identifiers

PMID37719143
PMCPMC10504631

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LicenceCC BY-NC-ND
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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.