Whole-genome sequencing is more powerful than whole-exome sequencing for detecting exome variants
Délégation Paris 5 · Inserm · +4 more institutions
Abstract
We compared whole-exome sequencing (WES) and whole-genome sequencing (WGS) in six unrelated individuals. In the regions targeted by WES capture (81.5% of the consensus coding genome), the mean numbers of single-nucleotide variants (SNVs) and small insertions/deletions (indels) detected per sample were 84,192 and 13,325, respectively, for WES, and 84,968 and 12,702, respectively, for WGS. For both SNVs and indels, the distributions of coverage depth, genotype quality, and minor read ratio were more uniform for WGS than for WES. After filtering, a mean of 74,398 (95.3%) high-quality (HQ) SNVs and 9,033 (70.6%) HQ indels were called by both platforms. A mean of 105 coding HQ SNVs and 32 indels was identified…
Citation impact
- FWCI
- 40.26
- Percentile
- 100%
- References
- 40
Authors
10- ABAziz BelkadiCorresponding
Délégation Paris 5, Inserm, Université Paris Cité, Institut des Maladies Génétiques Imagine
- ABAlexandre Bolze
Rockefeller University
- YIYuval Itan
Rockefeller University
- ACAurélie Cobat
Délégation Paris 5, Inserm, Université Paris Cité, Institut des Maladies Génétiques Imagine
- QBQuentin B. Vincent
Délégation Paris 5, Inserm, Université Paris Cité, Institut des Maladies Génétiques Imagine
Topics & keywords
- Exome sequencing
- Indel
- Exome
- Whole genome sequencing
- Genetics
- Biology
- Computational biology
- Genome