Evidence map›Paper›PMID 20084087›Full record

ReviewNature reviews. Genetics2010

Methodological challenges of genome-wide association analysis in Africa.

Yik-Ying Teo, Kerrin S Small, Dominic P Kwiatkowski

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 10 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

123 citing papers in PubMed, 10 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Efficiency of trans-ethnic genome-wide meta-analysis and fine-mapping.European journal of human genetics : EJHG · 2012
    Pooled it
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  11. Review
  12. Genetics and Genomics in Sickle Cell Disease in Africa.American journal of hematology · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. A novel locus inFrontiers in genetics · 2024
    Article
  17. Review
  18. Article
  19. Article
  20. Article

63 more citing papers are in PubMed but not listed here.

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

3 authors.

Yik-Ying TeoWellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN, UK.
Kerrin S Small
Dominic P Kwiatkowski

Funding

Medical Research Council G0600230Medical Research Council G0600718Medical Research Council G19/9Wellcome Trust 077383Wellcome Trust 082370
6 · The paper itself

Abstract

Medical research in Africa has yet to benefit from the advent of genome-wide association (GWA) analysis, partly because the genotyping tools and statistical methods that have been developed for European and Asian populations struggle to deal with the high levels of genome diversity and population structure in Africa. However, the haplotypic diversity of African populations might help to overcome one of the major roadblocks in GWA research, the fine mapping of causal variants. We review the methodological challenges and consider how GWA studies in Africa will be transformed by new approaches in statistical imputation and large-scale genome sequencing.

Indexed as

Genome, HumanAfricaBlack PeopleChromosome MappingGenetics, MedicalGenetics, PopulationGenetic VariationGenome-Wide Association StudyGenotypeHumansPolymorphism, Single Nucleotide

Identifiers

PMID20084087
PMCPMC3769612

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.