ABSTRACT
BACKGROUND: Today, sequencing is frequently carried out by Massive Parallel Sequencing (MPS) that cuts drastically sequencing time and expenses. Nevertheless, Sanger sequencing remains the main validation method to confirm the presence of variants. The analysis of MPS data involves the development of several bioinformatic tools, academic or commercial. We present here a statistical method to compare MPS pipelines and test it in a comparison between an academic (BWA-GATK) and a commercial pipeline (TMAP-NextGENe®), with and without reference to a gold standard (here, Sanger sequencing), on a panel of 41 genes in 43 epileptic patients. This method used the number of variants to fit log-linear models for pairwise agreements between pipelines. To assess the heterogeneity of the margins and the odds ratios of agreement, four log-linear models were used: a full model, a homogeneous-margin model, a model with single odds ratio for all patients, and a model with single intercept. Then a log-linear mixed model was fitted considering the biological variability as a random effect. RESULTS: Among the 390,339 base-pairs sequenced, TMAP-NextGENe® and BWA-GATK found, on average, 2253.49 and 1857.14 variants (single nucleotide variants and indels), respectively. Against the gold standard, the pipelines had similar sensitivities (63.47% vs. 63.42%) and close but significantly different specificities (99.57% vs. 99.65%; p < 0.001). Same-trend results were obtained when only single nucleotide variants were considered (99.98% specificity and 76.81% sensitivity for both pipelines). CONCLUSIONS: The method allows thus pipeline comparison and selection. It is generalizable to all types of MPS data and all pipelines.
Subject(s)
Computational Biology/methods , Models, Statistical , Epilepsy/genetics , Epilepsy/pathology , High-Throughput Nucleotide Sequencing , Humans , INDEL Mutation , Polymorphism, Single Nucleotide , Sequence Analysis, DNAABSTRACT
Infantile spasms syndrome (ISs) is characterized by clinical spasms with ictal electrodecrement, usually occurring before the age of 1 year and frequently associated with cognitive impairment. Etiology is widely heterogeneous, the cause remaining elusive in 40% of patients. We searched for de novo mutations in 10 probands with ISs and their parents using whole-exome sequencing (WES). Patients had neither consanguinity nor family history of epilepsy. Common causes of ISs were excluded by brain magnetic resonance imaging (MRI), metabolic screening, array-comparative genomic hybridization (CGH) and testing for mutations in CDKL5, STXBP1, and for ARX duplications. We found a probably pathogenic mutation in four patients. Missense mutations in SCN2A (p.Leu1342Pro) and KCNQ2 (p.Ala306Thr) were found in two patients with no history of epilepsy before the onset of ISs. The p.Asn107Ser missense mutation of ALG13 had been previously reported in four females with ISs. The fourth mutation was an in-frame deletion (p.Phe110del) in NR2F1, a gene whose mutations cause intellectual disability, epilepsy, and optic atrophy. In addition, we found a possibly pathogenic variant in KIF3C that encodes a kinesin expressed during neural development. Our results confirm that WES improves significantly the diagnosis yield in patients with sporadic ISs.
Subject(s)
Exome/genetics , Spasms, Infantile/diagnosis , Spasms, Infantile/genetics , Amino Acid Sequence , Base Sequence , Child , Child, Preschool , Conserved Sequence , Female , Humans , Infant , Infant, Newborn , Male , Molecular Sequence Data , Mutation/genetics , Pregnancy , Sequence Analysis, DNA , SyndromeABSTRACT
Cancer is a leading cause of death worldwide accounting to 13 % of all deaths. One of the main causes behind the failure of treatment is the development of various therapy resistance mechanisms by the cancer cells leading to the recurrence of the disease. This review sheds a light on some of the mechanisms developed by cancer cells to resist therapy as well as some of the structures involved such as the ABC members' involvement in chemotherapy resistance and MET and survivin overexpression leading to radiotherapy resistance. Understanding those mechanisms will enable scientists to overcome resistance and possibly improve treatment and disease prognosis (AU)
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Subject(s)
Humans , Male , Female , Neoplasms/drug therapy , Neoplasms/mortality , Neoplasms/radiotherapy , Neoplasms/diagnosis , Neoplasms/therapyABSTRACT
Cancer is a leading cause of death worldwide accounting to 13 % of all deaths. One of the main causes behind the failure of treatment is the development of various therapy resistance mechanisms by the cancer cells leading to the recurrence of the disease. This review sheds a light on some of the mechanisms developed by cancer cells to resist therapy as well as some of the structures involved such as the ABC members' involvement in chemotherapy resistance and MET and survivin overexpression leading to radiotherapy resistance. Understanding those mechanisms will enable scientists to overcome resistance and possibly improve treatment and disease prognosis.
