Evidence map›Paper›PMID 21955854›Full record

ArticleGenome biology2011

Comparison of solution-based exome capture methods for next generation sequencing.

Anna-Maija Sulonen, Pekka Ellonen, Henrikki Almusa, Maija Lepistö, Samuli Eldfors, Sari Hannula, Timo Miettinen, Henna Tyynismaa, Perttu Salo, Caroline Heckman and 4 more

Abstract readComparative Study
In one paragraph

Article in Genome biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers.

0numbers the graph read from it
0cells of the map it votes in
136citing 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

136 citing papers in PubMed.

  1. The impact of DNA input amount and DNA source on the performance of whole-exome sequencing in cancer epidemiology.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015
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76 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

14 authors.

Anna-Maija SulonenInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Biomedicum Helsinki 2U, Tukholmankatu 8, 00290 Helsinki, Finland.
Pekka Ellonen
Henrikki Almusa
Maija Lepistö
Samuli Eldfors
Sari Hannula
Timo Miettinen
Henna Tyynismaa
Perttu Salo
Caroline Heckman
Heikki Joensuu
Taneli Raivio
Anu Suomalainen
Janna Saarela

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTechniques enabling targeted re-sequencing of the protein coding sequences of the human genome on next generation sequencing instruments are of great interest. We conducted a systematic comparison of the solution-based exome capture kits provided by Agilent and Roche NimbleGen. A control DNA sample was captured with all four capture methods and prepared for Illumina GAII sequencing. Sequence data from additional samples prepared with the same protocols were also used in the comparison.

resultsWe developed a bioinformatics pipeline for quality control, short read alignment, variant identification and annotation of the sequence data. In our analysis, a larger percentage of the high quality reads from the NimbleGen captures than from the Agilent captures aligned to the capture target regions. High GC content of the target sequence was associated with poor capture success in all exome enrichment methods. Comparison of mean allele balances for heterozygous variants indicated a tendency to have more reference bases than variant bases in the heterozygous variant positions within the target regions in all methods. There was virtually no difference in the genotype concordance compared to genotypes derived from SNP arrays. A minimum of 11× coverage was required to make a heterozygote genotype call with 99% accuracy when compared to common SNPs on genome-wide association arrays.

conclusionsLibraries captured with NimbleGen kits aligned more accurately to the target regions. The updated NimbleGen kit most efficiently covered the exome with a minimum coverage of 20×, yet none of the kits captured all the Consensus Coding Sequence annotated exons.

Indexed as

ExomeReagent Kits, DiagnosticAllelesBase CompositionComputational BiologyComputer SimulationDNAGenetic Carrier ScreeningGenome, HumanGenomicsGenotypeHumansINDEL MutationOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideSensitivity and SpecificityDNAReagent Kits, Diagnostic

Identifiers

PMID21955854
PMCPMC3308057

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.