Evidence map›Paper›PMID 27624058›Full record

ArticleBMC medical genomics2016

Immunoseq: the identification of functionally relevant variants through targeted capture and sequencing of active regulatory regions in human immune cells.

Andréanne Morin, Tony Kwan, Bing Ge, Louis Letourneau, Maria Ban, Karolina Tandre, Maxime Caron, Johanna K Sandling, Jonas Carlsson, Guillaume Bourque and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
2.3field-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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  9. TCR_Explore: A novel webtool for T cell receptor repertoire analysis.Computational and structural biotechnology journal · 2023
    Article
  10. T-cell repertoire diversity: friend or foe for protective antitumor response?Journal of experimental & clinical cancer research : CR · 2022
    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

17 authors at 6 institutions in 3 countries.

Andréanne MorinDepartment of Human Genetics, McGill University, Montréal, Quebec, Canada.
Tony KwanDepartment of Human Genetics, McGill University, Montréal, Quebec, Canada.
Bing GeMcGill University and Genome Québec Innovation Centre, Montréal, Quebec, Canada.
Louis LetourneauMcGill University and Genome Québec Innovation Centre, Montréal, Quebec, Canada.
Maria BanDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Karolina TandreDepartment of Medical Sciences, Section of Rheumatology, Uppsala University, Uppsala, Sweden.
Maxime CaronMcGill University and Genome Québec Innovation Centre, Montréal, Quebec, Canada.
Johanna K SandlingDepartment of Medical Sciences, Section of Rheumatology, Uppsala University, Uppsala, Sweden.
Jonas CarlssonDepartment of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Guillaume BourqueDepartment of Human Genetics, McGill University, Montréal, Quebec, Canada.
Catherine LapriseDépartement des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, Quebec, Canada.
Alexandre MontpetitMcGill University and Genome Québec Innovation Centre, Montréal, Quebec, Canada.
Ann-Christine SyvanenDepartment of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Lars RonnblomDepartment of Medical Sciences, Section of Rheumatology, Uppsala University, Uppsala, Sweden.
Stephen J SawcerDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Mark G LathropDepartment of Human Genetics, McGill University, Montréal, Quebec, Canada.
Tomi PastinenDepartment of Human Genetics, McGill University, Montréal, Quebec, Canada. tomi.pastinen@mcgill.ca.
McGill University and Génome Québec Innovation Centre · CAUppsala University · SEUniversity of Cambridge · GBMcGill University · CAScience for Life Laboratory · SEUniversité du Québec à Chicoutimi · CA

Funding

CIHRMedical Research Council G1100125
6 · The paper itself

Abstract

backgroundThe observation that the genetic variants identified in genome-wide association studies (GWAS) frequently lie in non-coding regions of the genome that contain cis-regulatory elements suggests that altered gene expression underlies the development of many complex traits. In order to efficiently make a comprehensive assessment of the impact of non-coding genetic variation in immune related diseases we emulated the whole-exome sequencing paradigm and developed a custom capture panel for the known DNase I hypersensitive site (DHS) in immune cells - "Immunoseq".

resultsWe performed Immunoseq in 30 healthy individuals where we had existing transcriptome data from T cells. We identified a large number of novel non-coding variants in these samples. Relying on allele specific expression measurements, we also showed that our selected capture regions are enriched for functional variants that have an impact on differential allelic gene expression. The results from a replication set with 180 samples confirmed our observations.

conclusionsWe show that Immunoseq is a powerful approach to detect novel rare variants in regulatory regions. We also demonstrate that these novel variants have a potential functional role in immune cells.

Indexed as

AllelesDNA Mutational AnalysisGene Expression ProfilingSequence Analysis, RNAGenome-Wide Association StudyHumansMolecular Sequence AnnotationQuantitative Trait LociT-LymphocytesCaptureGene expressionImmune diseaseNext-generation sequencingRare variants

Identifiers

PMID27624058
PMCPMC5022205
OpenAlexW2518845767

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.