Evidence map›Paper›PMID 25973577›Full record

ArticleHuman mutation2015

Comparison of Exome and Genome Sequencing Technologies for the Complete Capture of Protein-Coding Regions.

Stefan H Lelieveld, Malte Spielmann, Stefan Mundlos, Joris A Veltman, Christian Gilissen

Abstract readComparative Study
In one paragraph

Article in Human mutation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
122citing 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

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

  1. Pooled it
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  9. Article
  10. Heterogeneity of monogenic epilepsy in loci, phenotypes, and treatment approaches.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
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  20. Current and future diagnostics of congenital heart disease (CHD).Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2025
    Article

62 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

5 authors.

Stefan H LelieveldDepartment of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, 6525 GA, The Netherlands.
Malte SpielmannInstitute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Berlin, Germany.
Stefan MundlosInstitute for Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Berlin, Germany.
Joris A VeltmanDepartment of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, 6525 GA, The Netherlands.
Christian GilissenDepartment of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, 6525 GA, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For next-generation sequencing technologies, sufficient base-pair coverage is the foremost requirement for the reliable detection of genomic variants. We investigated whether whole-genome sequencing (WGS) platforms offer improved coverage of coding regions compared with whole-exome sequencing (WES) platforms, and compared single-base coverage for a large set of exome and genome samples. We find that WES platforms have improved considerably in the last years, but at comparable sequencing depth, WGS outperforms WES in terms of covered coding regions. At higher sequencing depth (95x-160x), WES successfully captures 95% of the coding regions with a minimal coverage of 20x, compared with 98% for WGS at 87-fold coverage. Three different assessments of sequence coverage bias showed consistent biases for WES but not for WGS. We found no clear differences for the technologies concerning their ability to achieve complete coverage of 2,759 clinically relevant genes. We show that WES performs comparable to WGS in terms of covered bases if sequenced at two to three times higher coverage. This does, however, go at the cost of substantially more sequencing biases in WES approaches. Our findings will guide laboratories to make an informed decision on which sequencing platform and coverage to choose.

Indexed as

ExomeGenome, HumanOpen Reading FramesHigh-Throughput Nucleotide SequencingHumanscoverageexome sequencinggenome sequencing

Identifiers

PMID25973577
PMCPMC4755152

What OpenQuestion holds

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LicenceCC BY-NC
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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.