Facultade de Fisioterapia

Goodness-of-fit tests for disorder detection in NGS experiments

Jiménez Otero, Norman; de Uña-Álvarez, Jacobo; Pardo Fernández, Juan Carlos
Abstract:
Next‐generation sequencing (NGS) experiments are often performed in biomedical research nowadays, leading to methodological challenges related to the high‐dimensional and complex nature of the recorded data. In this work we review some of the issues that arise in disorder detection from NGS experiments, that is, when the focus is the detection of deletion and duplication disorders for homozygosity and heterozygosity in DNA sequencing. A statistical model to cope with guanine/cytosine bias and phasing and prephasing phenomena at base level is proposed, and a goodness‐of‐fit procedure for disorder detection is derived. The method combines the proper evaluation of local p‐values (one for each DNA base) with suitable corrections for multiple comparisons and the discrete nature of the p‐values. A global test for the detection of disorders in the whole DNA region is proposed too. The performance of the introduced procedures is investigated through simulations. A real data illustration is provided.
Year:
2019
Type of Publication:
Article
Keywords:
DNA; GC bias; multiple hypothesis testing; Poisson distribution; sequencing
Journal:
Biometrical Journal
Volume:
61
Number:
2 - Specia
Pages:
424-441
Month:
March
Note:
Q2 51/123 h-index 1,255 (JCR2018)
Comments:
Spanish Ministerio de Economía y Competitividad. Grant Numbers: MTM2014‐55966‐P, MTM2017‐89422‐P // CINBIO ‐ Centro Singular de Investigación de Galicia 2016 ‐ 2019. FEDER
DOI:
https://doi.org/10.1002/bimj.201700284
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