Journal
GENOME MEDICINE
Volume 5, Issue -, Pages -Publisher
BMC
DOI: 10.1186/gm473
Keywords
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Categories
Funding
- Deutsche Forschungsgemeinschaft [DFG KR 3985/1-1]
- NHLBI Lung GO Sequencing Project [HL-102923]
- NHLBI WHI Sequencing Project [HL-102924]
- NHLBI Broad GO Sequencing Project [HL-102925]
- NHLBI Seattle GO Sequencing Project [HL-102926]
- NHLBI Heart GO Sequencing Project [HL-103010]
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With exome sequencing becoming a tool for mutation detection in routine diagnostics there is an increasing need for platform-independent methods of quality control. We present a genotype-weighted metric that allows comparison of all the variant calls of an exome to a high-quality reference dataset of an ethnically matched population. The exome-wide genotyping accuracy is estimated from the distance to this reference set, and does not require any further knowledge about data generation or the bioinformatics involved. The distances of our metric are visualized by non-metric multidimensional scaling and serve as an intuitive, standardizable score for the quality assessment of exome data.
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