Evidence map›Paper›PMID 39549695›Full record

ArticleAmerican journal of human genetics2024

Allele frequency impacts the cross-ancestry portability of gene expression prediction in lymphoblastoid cell lines.

Marie Saitou, Andy Dahl, Qingbo Wang, Xuanyao Liu

Abstract read
In one paragraph

Article in American journal of human genetics, 2024. 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Article
  6. Article
  7. Analyses of plasma multi-omic data across ancestries identify novel pathways implicated in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  8. Article
  9. Review
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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

4 authors.

Marie SaitouSection of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA; Centre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian Universities of Life Sciences, As, Norway.
Andy DahlSection of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA; Department of Human Genetics, The University of Chicago, Chicago, IL, USA.
Qingbo WangDepartment of Statistical Genetics, Graduate School of Medicine, Osaka University, Suita, Japan.
Xuanyao LiuSection of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA; Department of Human Genetics, The University of Chicago, Chicago, IL, USA. Electronic address: xuanyao@uchicago.edu.

Funding

Statistical Methods to Study the Genetic Basis and Mechanisms of Trans Gene RegulationR35GM138084 · NIGMS · UNIVERSITY OF CHICAGO · PI LIU, XUANYAO · 2020 to 2024
$2.0M
Novel statistical genetics methods to unravel polygenic interactions in complex traitsR35GM150822 · NIGMS · UNIVERSITY OF CHICAGO · PI Andrew Dahl · 2023 to 2026
$1.6M
NIGMS NIH HHS R35 GM138084NIGMS NIH HHS R35 GM150822
6 · The paper itself

Abstract

Population-level genetic studies are overwhelmingly biased toward European ancestries. Transferring genetic predictions from European ancestries to other ancestries results in a substantial loss of accuracy. Yet, it remains unclear how much various genetic factors, such as causal effect differences, linkage disequilibrium (LD) differences, or allele frequency differences, contribute to the loss of prediction accuracy across ancestries. In this study, we used gene expression levels in lymphoblastoid cell lines to understand how much each genetic factor contributes to lowered portability of gene expression prediction from European to African ancestries. We found that cis-genetic effects on gene expression are highly similar between European and African individuals. However, we found that allele frequency differences of causal variants have a striking impact on prediction portability. For example, portability is reduced by more than 32% when the causal cis-variant is common (minor allele frequency, MAF >5%) in European samples (training population) but is rarer (MAF <5%) in African samples (prediction population). While large allele frequency differences can decrease portability through increasing LD differences, we also determined that causal allele frequency can significantly impact portability when the impact from LD is substantially controlled. This observation suggests that improving statistical fine-mapping alone does not overcome the loss of portability resulting from differences in causal allele frequency. We conclude that causal cis-eQTL effects are highly similar in European and African individuals, and allele frequency differences have a large impact on the accuracy of gene expression prediction.

Indexed as

Black PeopleGene FrequencyLinkage DisequilibriumWhite PeopleCell LineGene ExpressionGenetics, PopulationGenome-Wide Association StudyHumansLymphocytesPolymorphism, Single NucleotideeQTLexpression quantitative trait locigene expressionportabilitystatistical geneticstranscriptome

Identifiers

PMID39549695
PMCPMC11639078

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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.