Evidence map›Paper›PMID 23221639›Full record

ArticleNucleic acids research2013

A population model for genotyping indels from next-generation sequence data.

Haojing Shao, Evangelos Bellos, Hanjiudai Yin, Xiao Liu, Jing Zou, Yingrui Li, Jun Wang, Lachlan J M Coin

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. The Concept of Immunogenetics.Advances in experimental medicine and biology · 2022
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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

8 authors.

Haojing ShaoBGI-Shenzhen, Shenzhen 518083, China.
Evangelos Bellos
Hanjiudai Yin
Xiao Liu
Jing Zou
Yingrui Li
Jun Wang
Lachlan J M Coin

Funding

Biotechnology and Biological Sciences Research Council BB/H024808/1
6 · The paper itself

Abstract

Insertion and deletion polymorphisms (indels) are an important source of genomic variation in plant and animal genomes, but accurate genotyping from low-coverage and exome next-generation sequence data remains challenging. We introduce an efficient population clustering algorithm for diploids and polyploids which was tested on a dataset of 2000 exomes. Compared with existing methods, we report a 4-fold reduction in overall indel genotype error rates with a 9-fold reduction in low coverage regions.

Indexed as

AlgorithmsGenotyping TechniquesINDEL MutationExomeHigh-Throughput Nucleotide SequencingModels, GeneticPopulation

Identifiers

PMID23221639
PMCPMC3562001

What OpenQuestion holds

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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.