Evidence map›Paper›PMID 31604920›Full record

ArticleNature communications2019

Longshot enables accurate variant calling in diploid genomes from single-molecule long read sequencing.

Peter Edge, Vikas Bansal

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 162 papers.

0numbers the graph read from it
0cells of the map it votes in
162citing papers in PubMed
–field-weighted citation impact
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

162 citing papers in PubMed.

  1. Article
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  3. Phenotypic and genotypic analysis ofInfection and immunity · 2026
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  10. A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long-Read Data.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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102 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

2 authors.

Peter EdgeDepartment of Computer Science and Engineering, University of California, San Diego, La Jolla, California, 92093, USA.
Vikas BansalDepartment of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, California, 92093, USA. vibansal@ucsd.edu.

Funding

Refining Mendelian disease analysis via detection of clinically relevant repeat variantsR01HG010149 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna, Vikas Bansal · 2018 to 2026
$4.5M
6 · The paper itself

Abstract

Whole-genome sequencing using sequencing technologies such as Illumina enables the accurate detection of small-scale variants but provides limited information about haplotypes and variants in repetitive regions of the human genome. Single-molecule sequencing (SMS) technologies such as Pacific Biosciences and Oxford Nanopore generate long reads that can potentially address the limitations of short-read sequencing. However, the high error rate of SMS reads makes it challenging to detect small-scale variants in diploid genomes. We introduce a variant calling method, Longshot, which leverages the haplotype information present in SMS reads to accurately detect and phase single-nucleotide variants (SNVs) in diploid genomes. We demonstrate that Longshot achieves very high accuracy for SNV detection using whole-genome Pacific Biosciences data, outperforms existing variant calling methods, and enables variant detection in duplicated regions of the genome that cannot be mapped using short reads.

Indexed as

Polymorphism, Single NucleotideSoftwareAlgorithmsDiploidyGenome, HumanHaplotypesHigh-Throughput Nucleotide SequencingHumansRepetitive Sequences, Nucleic AcidSequence Analysis, DNAWhole Genome Sequencing

Identifiers

PMID31604920
PMCPMC6788989

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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.