Galaxy Is a Suitable Bioinformatics Platform for the Molecular Diagnosis of Human Genetic Disorders Using High-Throughput Sequencing Data Analysis: Five Years of Experience in a Clinical Laboratory.

BACKGROUND: To date, the usage of Galaxy, an open-source bioinformatics platform, has been reported primarily in research. We report 5 years' experience (2015 to 2020) with Galaxy in our hospital, as part of the "Assistance Publique-Hôpitaux de Paris" (AP-HP), to demonstrate its suitability for high-throughput sequencing (HTS) data analysis in a clinical laboratory setting. METHODS: Our Galaxy instance has been running since July 2015 and is used daily to study inherited diseases, cancer, and microbiology. For the molecular diagnosis of hereditary diseases, 6970 patients were analyzed with Galaxy (corresponding to a total of 7029 analyses). RESULTS: Using Galaxy, the time to process a batch of 23 samples-equivalent to a targeted DNA sequencing MiSeq run-from raw data to an annotated variant call file was generally less than 2 h for panels between 1 and 500 kb. Over 5 years, we only restarted the server twice for hardware maintenance and did not experience any significant troubles, demonstrating the robustness of our Galaxy installation in conjunction with HTCondor as a job scheduler and a PostgreSQL database. The quality of our targeted exome sequencing method was externally evaluated annually by the European Molecular Genetics Quality Network (EMQN). Sensitivity was mean (SD)% 99 (2)% for single nucleotide variants and 93 (9)% for small insertion-deletions. CONCLUSION: Our experience with Galaxy demonstrates it to be a suitable platform for HTS data analysis with vast potential to benefit patient care in a clinical laboratory setting.

UQCRC2 mutation in a patient with mitochondrial complex III deficiency causing recurrent liver failure, lactic acidosis and hypoglycemia.

An isolated mitochondrial complex III (CIII) defect constitutes a rare cause of mitochondrial disorder. Here we present the second case involving UQCRC2 gene, which encodes core protein 2, one of the 11 structural subunits of CIII. The patient has the same mutation (c.547C>T; p.Arg183Trp) as the first case and presented with neonatal lactic acidosis, hypoglycemia and severe episodes of liver failure. Our study expands the few reported cases of CIII deficiency of nuclear origin.

Liver transcript analysis reveals aberrant splicing due to silent and intronic variations in the ABCB11 gene.

BACKGROUND: Progressive familial intrahepatic cholestasis type 2 (PFIC2) is an autosomal recessive disease due to mutations in ABCB11. ABCB11 encodes the bile salt export pump (BSEP), the major transporter responsible for biliary bile acid secretion, which expression is restricted to hepatocytes. In some patients, molecular analysis of ABCB11 revealed either exonic or intronic variations - including common polymorphisms - predicted to affect splicing according to in silico analysis or in vitro minigene studies. Transcript analysis in liver tissue is the best way to determine whether the variations predicted to affect splicing are deleterious or not. METHODS AND RESULTS: We performed ABCB11 transcript analysis in liver tissue from five PFIC2 patients who had variations which were predicted to either affect splicing or not. Among eleven variants tested, only the silent c.3003A>G variant and the intronic c.3213+4A>G variant led to abnormal splicing as suggested by in silico analysis. CONCLUSION: ABCB11 liver transcript analysis is a useful tool to confirm or invalidate the predicted splicing effect of a silent or intronic ABCB11 variation.

Mutation spectrum in the French cohort of galactosemic patients and structural simulation of 27 novel missense variations.

BACKGROUND: Classic galactosemia refers to galactose-1-phosphate uridyltransferase (GALT) deficiency and is characterized by long-term complications of unknown mechanism and high allelic heterogeneity of GALT gene. AIM: To report molecular characterization of GALT variations in 210 French families, to analyze the structural effects of novel missense variations and to assess informativity of structural data in predicting outcome. METHODS: Sequencing of exons and intron-exon junctions of GALT gene was completed in unsolved cases by analysis of a long range PCR product. Structural consequences of novel missense variations were predicted using a homology model of GALT protein and a semi-automated analysis which integrates simulation of variations, structural analyses and two web servers dedicated to identify mutation-induced change of protein stability. RESULTS: Forty four novel variations were identified, among them 27 nucleotide substitutions. In silico modeling of these missense variations showed that 12 variations are predicted to impair subunit interactions and/or active site conformation and that 23 variations modify H-bond or salt-bridge networks. Twenty variations decrease the global stability of the protein. Five variations had apparently no structural effect. CONCLUSION: Our results expand the mutation spectrum in GALT gene and the list of GALT variations analyzed at the structural level, providing new data to assess the pathophysiology of galactosemia.