Evidence map›Paper›PMID 33324401›Full record

ArticleFrontiers in immunology2020

Accurate and Efficient KIR Gene and Haplotype Inference From Genome Sequencing Reads With Novel K-mer Signatures.

David Roe, Rui Kuang

Open access · goldAbstract read
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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-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

15 citing papers in PubMed, 29 citations in OpenAlex.

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  11. HIV-1 and human genetic variation.Nature reviews. Genetics · 2021
    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

2 authors at 2 institutions in 1 country.

David RoeBioinformatics and Computational Biology, University of Minnesota, Rochester, MN, United States.
Rui KuangBioinformatics and Computational Biology, University of Minnesota, Rochester, MN, United States.
University of Minnesota · USUniversity of Minnesota Rochester · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The killer-cell immunoglobulin-like receptor (KIR) proteins evolve to fight viruses and mediate the body's reaction to pregnancy. These roles provide selection pressure for variation at both the structural/haplotype and base/allele levels. At the same time, the genes have evolved relatively recently by tandem duplication and therefore exhibit very high sequence similarity over thousands of bases. These variation-homology patterns make it impossible to interpret KIR haplotypes from abundant short-read genome sequencing data at population scale using existing methods. Here, we developed an efficient computational approach for

Indexed as

GenotypeAlgorithmsAllelesChromosome MappingEvolution, MolecularHaplotypesHumansKiller Cells, NaturalMolecular ProbesNetherlandsReceptors, KIRWhole Genome SequencingMolecular ProbesReceptors, KIRgenotypehaplotypeinterpretationkiller-cell immunoglobulin-like receptornatural killerwhole genome sequencing (WGS)

Identifiers

PMID33324401
PMCPMC7727328
OpenAlexW3108111517

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.