Evidence map›Paper›PMID 33072076›Full record

ArticleFrontiers in immunology2020

A Novel Framework for Characterizing Genomic Haplotype Diversity in the Human Immunoglobulin Heavy Chain Locus.

Oscar L Rodriguez, William S Gibson, Tom Parks, Matthew Emery, James Powell, Maya Strahl, Gintaras Deikus, Kathryn Auckland, Evan E Eichler, Wayne A Marasco and 5 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
6.9field-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

73 citing papers in PubMed, 123 citations in OpenAlex.

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13 more citing papers are in PubMed but not listed here.

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

15 authors at 6 institutions in 2 countries.

Oscar L RodriguezDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
William S GibsonDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, United States.
Tom ParksWellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.
Matthew EmeryDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
James PowellDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Maya StrahlDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Gintaras DeikusDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Kathryn AucklandWellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.
Evan E EichlerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, United States.
Wayne A MarascoDepartment of Cancer Immunology and AIDS, Dana-Farber Cancer Institute, Department of Medicine, Harvard Medical School, Boston, MA, United States.
Robert SebraDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Andrew J SharpDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Melissa L SmithDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Ali BashirDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Corey T WatsonDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, United States.
Icahn School of Medicine at Mount Sinai · USUniversity of Louisville · USCentre for Human Genetics · GBHarvard University · USHoward Hughes Medical Institute · USUniversity of Oxford · GB

Funding

An ethnically diverse genomic reference resource for the human heavy and light chain immunoglobulin lociR24AI138963 · NIAID · UNIVERSITY OF LOUISVILLE · PI Melissa Laird Smith, Corey Taylor Watson · 2018 to 2026
$5.5M
Sequence-resolved structural variation of human genomesR01HG010169 · NHGRI · UNIVERSITY OF WASHINGTON · PI Evan Eichler · 2018 to 2026
$4.5M
Studies of IGHV Germline Gene Polymorphism, Utilization & Shifting for Seasonal Influenza Vaccine Induced Broadly Neutralizing Antibody ResponsesR01AI121285 · NIAID · DANA-FARBER CANCER INST · PI MARASCO, WAYNE A. · 2016 to 2020
$4.0M
Diversity Action Plan: UW GenOM ProjectR25HG007153 · NHGRI · UNIVERSITY OF WASHINGTON · PI EICHLER, EVAN · 2013 to 2020
$2.3M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
Population level characterization of human immunoglobulin heavy chain germline variants with impacts on variability in the Ab repertoire of healthy adultsR21AI142590 · NIAID · UNIVERSITY OF LOUISVILLE · PI MARASCO, WAYNE A., WATSON, COREY TAYLOR · 2019 to 2020
$477k
Methods for Extracting and Analyzing Highly Complex Regions of the Genome - Applications to the IGH locusR21AI117407 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BASHIR, ALI M, SHARP, ANDREW JAMES · 2016 to 2017
$464k
Identification of novel pathogenic tandem repeat expansions using long read sequencingF31NS108797 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI RODRIGUEZ, OSCAR L · 2018 to 2019
$85k
British Heart Foundation PG/14/26/30509Howard Hughes Medical InstituteMedical Research Council G1100449NHGRI NIH HHS R01 HG010169NHGRI NIH HHS R25 HG007153NIAID NIH HHS R01 AI121285NIAID NIH HHS R21 AI117407NIAID NIH HHS R21 AI142590NIAID NIH HHS R24 AI138963NIH HHS S10 OD018522NIH HHS S10 OD026880NINDS NIH HHS F31 NS108797
6 · The paper itself

Abstract

An incomplete ascertainment of genetic variation within the highly polymorphic immunoglobulin heavy chain locus (IGH) has hindered our ability to define genetic factors that influence antibody-mediated processes. Due to locus complexity, standard high-throughput approaches have failed to accurately and comprehensively capture IGH polymorphism. As a result, the locus has only been fully characterized two times, severely limiting our knowledge of human IGH diversity. Here, we combine targeted long-read sequencing with a novel bioinformatics tool, IGenotyper, to fully characterize IGH variation in a haplotype-specific manner. We apply this approach to eight human samples, including a haploid cell line and two mother-father-child trios, and demonstrate the ability to generate high-quality assemblies (>98% complete and >99% accurate), genotypes, and gene annotations, identifying 2 novel structural variants and 15 novel IGH alleles. We show multiplexing allows for scaling of the approach without impacting data quality, and that our genotype call sets are more accurate than short-read (>35% increase in true positives and >97% decrease in false-positives) and array/imputation-based datasets. This framework establishes a desperately needed foundation for leveraging IG genomic data to study population-level variation in antibody-mediated immunity, critical for bettering our understanding of disease risk, and responses to vaccines and therapeutics.

Indexed as

Genes, ImmunoglobulinGenetic VariationGenotyping TechniquesPolymorphism, GeneticCell LineComputational BiologyData DisplayDatasets as TopicFamilyGene LibraryGenomic Structural VariationHaplotypesHumansImmunoglobulin Heavy ChainsMolecular Sequence AnnotationSequence AlignmentImmunoglobulin Heavy ChainsantibodyB cell receptorimmunoglobulin heavy chain locuslong-read sequencingsingle nucleotide variationstructural variation

Identifiers

PMID33072076
PMCPMC7539625
OpenAlexW3088674399

What OpenQuestion holds

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LicenceCC BY
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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.