Evidence map›Paper›PMID 37653728›Full record

ArticleHGG advances2023

Universal genome-wide association studies: Powerful joint ancestry and association testing.

Daniel Shriner, Amy R Bentley, Mateus H Gouveia, Elisabeth F Heuston, Ayo P Doumatey, Guanjie Chen, Jie Zhou, Adebowale Adeyemo, Charles N Rotimi

Abstract read
In one paragraph

Article in HGG advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

9 authors.

Daniel ShrinerCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA.
Amy R BentleyCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA.
Mateus H GouveiaCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA.
Elisabeth F HeustonCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA.
Ayo P DoumateyCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA.
Guanjie ChenCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA.
Jie ZhouCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA.
Adebowale AdeyemoCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA.
Charles N RotimiCenter for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA. Electronic address: rotimic@mail.nih.gov.

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
MINORITY INTERNATIONAL RESEARCH TRAINING GRANTT37TW000041 · FIC · HOWARD UNIVERSITY · PI ADAMS-CAMPBELL, LUCILE L · 1993 to 1998
–
FIC NIH HHS T37 TW000041Intramural NIH HHS ZIA HG200362
6 · The paper itself

Abstract

The vast majority of human populations and individuals have mixed ancestry. Consequently, adjustment for locus-specific ancestry is essential for genetic association studies. To empower association studies for all populations, it is necessary to integrate effects of locus-specific ancestry and genotype. We developed a joint test of ancestry and association that can be performed with summary statistics, is independent of study design, can take advantage of locus-specific ancestry effects to boost power in association testing, and can utilize association effects to fine map admixture peaks. We illustrate the test using the association between serum triglycerides and LPL. By combining data from African Americans, European Americans, and West Africans, we identify three conditionally independent variants with varying amounts of ancestrally differentiated allele frequencies. Using out-of-sample data, we demonstrate improved prediction achievable by accounting for multiple causal variants and locus-specific ancestry effects at a single locus.

Indexed as

Black or African AmericanGenome-Wide Association StudyGene FrequencyHumansLinkage DisequilibriumWest African PeopleWhite

Identifiers

PMID37653728
PMCPMC10507155

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.