Evidence map›Paper›PMID 38424460›Full record

ArticleNature genetics2024

Epigenetic variation impacts individual differences in the transcriptional response to influenza infection.

Katherine A Aracena, Yen-Lung Lin, Kaixuan Luo, Alain Pacis, Saideep Gona, Zepeng Mu, Vania Yotova, Renata Sindeaux, Albena Pramatarova, Marie-Michelle Simon and 13 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
7.2field-weighted citation impact, top 2% of its field
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

26 citing papers in PubMed, 38 citations in OpenAlex.

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  19. Improved multi-ancestry fine-mapping identifiesmedRxiv : the preprint server for health sciences · 2024
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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

23 authors at 7 institutions in 3 countries.

Katherine A AracenaDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-8830-904X
Yen-Lung LinSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA.
Kaixuan LuoDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Alain PacisCanadian Centre for Computational Genomics, McGill University, Montreal, Quebec, Canada.
Saideep GonaSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA.
Zepeng MuDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-7717-3247
Vania YotovaDepartment of Genetics, CHU Sainte-Justine Research Center, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0002-6730-2404
Renata SindeauxDepartment of Genetics, CHU Sainte-Justine Research Center, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0002-5527-5015
Albena PramatarovaMcGill Genome Centre, Montreal, Quebec, Canada.
Marie-Michelle SimonMcGill Genome Centre, Montreal, Quebec, Canada.
Xun ChenInstitute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0003-0327-1888
Cristian GrozaQuantitative Life Sciences, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0001-6624-5404
David LougheedCanadian Centre for Computational Genomics, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0003-0962-543X
Romain GregoireCanadian Centre for Computational Genomics, McGill University, Montreal, Quebec, Canada.
David BrownleeCanadian Centre for Computational Genomics, McGill University, Montreal, Quebec, Canada.
Carly BoyeCenter for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, USA.ORCID http://orcid.org/0000-0002-9142-0240
Roger Pique-RegiCenter for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, USA.ORCID http://orcid.org/0000-0002-1262-2275
Yang LiDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Xin HeDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0001-9011-5212
David BujoldCanadian Centre for Computational Genomics, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0001-7860-3264
Tomi PastinenDepartment of Human Genetics, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0003-4016-5021
Guillaume BourqueCanadian Centre for Computational Genomics, McGill University, Montreal, Quebec, Canada. guil.bourque@mcgill.ca.ORCID http://orcid.org/0000-0002-3933-9656
Luis B BarreiroDepartment of Human Genetics, University of Chicago, Chicago, IL, USA. lbarreiro@uchicago.edu.ORCID http://orcid.org/0000-0001-9456-367X
University of Chicago · USMcGill University · CAMcGill Genome Centre · CACentre Hospitalier Universitaire Sainte-Justine · CAKyoto University · JPWayne State University · USChildren's Mercy Hospital · US

Funding

Characterizing the impact of Yersinia Pestis to the phenotypic evolution of the human immune systemR01GM134376 · NIGMS · UNIVERSITY OF CHICAGO · PI BARREIRO, LUIS BRUNO · 2019 to 2022
$2.2M
NIGMS NIH HHS R01 GM134376U.S. Department of Health & Human Services | National Institutes of Health (NIH) P30-DK042086U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01-GM134376
6 · The paper itself

Abstract

Humans display remarkable interindividual variation in their immune response to identical challenges. Yet, our understanding of the genetic and epigenetic factors contributing to such variation remains limited. Here we performed in-depth genetic, epigenetic and transcriptional profiling on primary macrophages derived from individuals of European and African ancestry before and after infection with influenza A virus. We show that baseline epigenetic profiles are strongly predictive of the transcriptional response to influenza A virus across individuals. Quantitative trait locus (QTL) mapping revealed highly coordinated genetic effects on gene regulation, with many cis-acting genetic variants impacting concomitantly gene expression and multiple epigenetic marks. These data reveal that ancestry-associated differences in the epigenetic landscape can be genetically controlled, even more than gene expression. Lastly, among QTL variants that colocalized with immune-disease loci, only 7% were gene expression QTL, while the remaining genetic variants impact epigenetic marks, stressing the importance of considering molecular phenotypes beyond gene expression in disease-focused studies.

Indexed as

Influenza, HumanChromosome MappingEpigenesis, GeneticHumansIndividualityQuantitative Trait Loci

Identifiers

PMID38424460
OpenAlexW4392294702

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.