Evidence map›Paper›PMID 35315770›Full record

ArticleeLife2022

Combining genotypes and T cell receptor distributions to infer genetic loci determining V(D)J recombination probabilities.

Magdalena L Russell, Aisha Souquette, David M Levine, Stefan A Schattgen, E Kaitlynn Allen, Guillermina Kuan, Noah Simon, Angel Balmaseda, Aubree Gordon, Paul G Thomas and 2 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

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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

12 authors at 5 institutions in 1 country.

Magdalena L RussellComputational Biology Program, Fred Hutch Cancer Research Center, Seattle, United States.ORCID 0000-0002-1068-1968
Aisha SouquetteDepartment of Immunology, St. Jude Children's Research Hospital, Memphis, United States.
David M LevineDepartment of Biostatistics, University of Washington, Seattle, United States.
Stefan A SchattgenDepartment of Immunology, St. Jude Children's Research Hospital, Memphis, United States.
E Kaitlynn AllenDepartment of Immunology, St. Jude Children's Research Hospital, Memphis, United States.
Guillermina KuanCentro Nacional de Diagnóstico y Referencia, Ministry of Health, Managua, Nicaragua.
Noah SimonDepartment of Biostatistics, University of Washington, Seattle, United States.
Angel BalmasedaCentro Nacional de Diagnóstico y Referencia, Ministry of Health, Managua, Nicaragua.
Aubree GordonDepartment of Epidemiology, University of Michigan, Ann Arbor, United States.
Paul G ThomasDepartment of Immunology, St. Jude Children's Research Hospital, Memphis, United States.
Frederick A Matsen *Computational Biology Program, Fred Hutch Cancer Research Center, Seattle, United States.ORCID 0000-0003-0607-6025
Philip Bradley *Computational Biology Program, Fred Hutch Cancer Research Center, Seattle, United States.ORCID 0000-0002-0224-6464
St. Jude Children's Research Hospital · USUniversity of Washington · USSustainable Sciences Institute · USHoward Hughes Medical Institute · USUniversity of Michigan · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00016 · NIAID · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI WEBBY, RICHARD · 2021 to 2025
$91.4M
TRANSPLANTATION IMMUNOLOGYP01AI033484 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MARTIN, PAUL J · 1992 to 2013
$13.1M
Whole Genome Association Analysis of Hematopoietic Cell Transplant (HCT) OutcomeR01HL105914 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MARTIN, PAUL J · 2011 to 2019
$9.8M
DECODING THE INTERACTIONS BETWEEN T CELL RECEPTORS AND PEPTIDE-MHCR01AI136514 · NIAID · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Paul G. Thomas · 2018 to 2026
$6.9M
Flu Dynamics COVID-19 SupplementR01AI120997 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GORDON, AUBREE L · 2017 to 2021
$4.1M
Whole Genome Association Analysis of Hematopoietic Cell Transplant OutcomeR01HL087690 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HANSEN, JOHN ANDREW · 2006 to 2008
$4.1M
Blending deep learning with probabilistic mechanistic models to predict and understand the evolution and function of adaptive immune receptorsR01AI146028 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MATSEN, FREDERICK ALBERT · 2019 to 2024
$3.4M
Mechanisms to diversify repertoire and modify T cell activity after infectionR01AI107625 · NIAID · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI THOMAS, PAUL G. · 2013 to 2017
$2.3M
Genetic Analysis of Airflow Obstruction After Stem Cell TransplantationR01HL088201 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI CLARK, JOAN G. · 2008 to 2013
$2.2M
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases ResearchS10OD028685 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2020 to 2020
$2.0M
Biomarker Discovery in Chronic Graft-vs-Host DiseaseR01HL094260 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HANSEN, JOHN ANDREW · 2008 to 2011
$1.8M
Howard Hughes Medical InstituteNCI NIH HHS P30 CA015704NHLBI NIH HHS K23 HL069860NHLBI NIH HHS R01 HL087690NHLBI NIH HHS R01 HL088201NHLBI NIH HHS R01 HL094260NHLBI NIH HHS R01 HL105914NIAID NIH HHS 75N93021C00016NIAID NIH HHS HHSN272201400006CNIAID NIH HHS P01 AI033484NIAID NIH HHS R01 AI107625NIAID NIH HHS R01 AI120997NIAID NIH HHS R01 AI136514NIAID NIH HHS R01 AI146028NIH HHS S10 OD028685
6 · The paper itself

Abstract

Every T cell receptor (TCR) repertoire is shaped by a complex probabilistic tangle of genetically determined biases and immune exposures. T cells combine a random V(D)J recombination process with a selection process to generate highly diverse and functional TCRs. The extent to which an individual's genetic background is associated with their resulting TCR repertoire diversity has yet to be fully explored. Using a previously published repertoire sequencing dataset paired with high-resolution genome-wide genotyping from a large human cohort, we infer specific genetic loci associated with V(D)J recombination probabilities using genome-wide association inference. We show that V(D)J gene usage profiles are associated with variation in the

Indexed as

Genome-Wide Association StudyV(D)J RecombinationGenetic LociGenotypeHumansProbabilityReceptors, Antigen, T-CellReceptors, Antigen, T-CellArtemisGWAShumanimmunologyinflammationt cell receptor repertoireTdTVDJ recombination probabilities

Identifiers

PMID35315770
PMCPMC8940181
OpenAlexW4225810652

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.