Evidence map›Paper›PMID 28887485›Full record

ArticleScientific reports2017

Direct comparison of performance of single nucleotide variant calling in human genome with alignment-based and assembly-based approaches.

Leihong Wu, Gokhan Yavas, Huixiao Hong, Weida Tong, Wenming Xiao

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Genome-wide insights into selection signatures for transcription factor binding sites in cattle ROH regions.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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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

5 authors.

Leihong WuNational Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR RD, Jefferson, AR, 72079, USA.
Gokhan YavasNational Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR RD, Jefferson, AR, 72079, USA.
Huixiao HongNational Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR RD, Jefferson, AR, 72079, USA.
Weida TongNational Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR RD, Jefferson, AR, 72079, USA.
Wenming XiaoNational Center for Toxicological Research, US Food and Drug Administration, 3900 NCTR RD, Jefferson, AR, 72079, USA. wenming.xiao@fda.hhs.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complementary to reference-based variant detection, recent studies revealed that many novel variants could be detected with de novo assembled genomes. To evaluate the effect of reads coverage and the accuracy of assembly-based variant calling, we simulated short reads containing more than 3 million of single nucleotide variants (SNVs) from the whole human genome and compared the efficiency of SNV calling between the assembly-based and alignment-based calling approaches. We assessed the quality of the assembled contig and found that a minimum of 30X coverage of short reads was needed to ensure reliable SNV calling and to generate assembled contigs with a good coverage of genome and genes. In addition, we observed that the assembly-based approach had a much lower recall rate and precision comparing to the alignment-based approach that would recover 99% of imputed SNVs. We observed similar results with experimental reads for NA24385, an individual whose germline variants were well characterized. Although there are additional values for SNVs detection, the assembly-based approach would have great risk of false discovery of novel SNVs. Further improvement of de novo assembly algorithms are needed in order to warrant a good completeness of genome with haplotype resolved and high fidelity of assembled sequences.

Indexed as

Polymorphism, Single NucleotideAlgorithmsContig MappingGenome-Wide Association StudyHumansSequence AlignmentSequence Analysis, DNA

Identifiers

PMID28887485
PMCPMC5591230

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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.