Evidence map›Paper›PMID 30796011›Full record

ArticleGenetics2019

Modeling Heterogeneity in the Genetic Architecture of Ethnically Diverse Groups Using Random Effect Interaction Models.

Yogasudha Veturi, Gustavo de Los Campos, Nengjun Yi, Wen Huang, Ana I Vazquez, Brigitte Kühnel

Abstract read
In one paragraph

Article in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Discovering common and population-specific QTLs for leaf rust resistance in different Barley populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  20. Population differentiation of polygenic score predictions under stabilizing selection.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
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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

6 authors.

Yogasudha VeturiDepartment of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania 19104 yveturi@upenn.edu.ORCID 0000-0002-5878-2960
Gustavo de Los CamposDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan 48824.ORCID 0000-0001-5692-7129
Nengjun YiDepartment of Biostatistics, University of Alabama at Birmingham, Alabama 35205.
Wen HuangDepartment of Animal Science, Michigan State University, East Lansing, Michigan 48824.
Ana I VazquezDepartment of Biostatistics, University of Alabama at Birmingham, Alabama 35205.
Brigitte KühnelDepartment of Molecular Epidemiology, Helmholtz Zentrum München, Germany 85764.

Funding

Statistical Tools for Whole-Genome Prediction of Complex Traits and DiseasesR01GM101219 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DE LOS CAMPOS, GUSTAVO · 2012 to 2017
$1.6M
Factors Affecting Prediction Accuracy of Complex Human Traits and DiseasesR01GM099992 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DE LOS CAMPOS, GUSTAVO · 2012 to 2015
$1.0M
NIGMS NIH HHS R01 GM099992NIGMS NIH HHS R01 GM101219
6 · The paper itself

Abstract

In humans, most genome-wide association studies have been conducted using data from Caucasians and many of the reported findings have not replicated in other populations. This lack of replication may be due to statistical issues (small sample sizes or confounding) or perhaps more fundamentally to differences in the genetic architecture of traits between ethnically diverse subpopulations. What aspects of the genetic architecture of traits vary between subpopulations and how can this be quantified? We consider studying effect heterogeneity using Bayesian random effect interaction models. The proposed methodology can be applied using shrinkage and variable selection methods, and produces useful information about effect heterogeneity in the form of whole-genome summaries (

Indexed as

Genetic HeterogeneityModels, GeneticQuantitative Trait, HeritableEthnicityGenome-Wide Association StudyHumansPolymorphism, Single NucleotidePopulationBayesian spike slabeffect heterogeneityGWASpopulation structurerandom effect interactions

Identifiers

PMID30796011
PMCPMC6456318

What Socratic holds

Textmetadata
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 Socratic graph.