Identification of a novel HLA-C*07 allele, HLA-C*07:943, in a Spanish individual.

HLA-C*07:943 differs from C*07:01:01:01 at positions 648 (c.648C > T) and 652 (c.652C > G) in exon 4.

Two novel variants in the ATM gene causing ataxia-telangiectasia, including a duplication of 90 kb: Utility of targeted next-generation sequencing in detection of copy number variation.

Ataxia-telangiectasia (A-T) is a rare autosomal recessive neurodegenerative disorder characterized by progressive cerebellar ataxia, ocular apraxia, immunodeficiency, telangiectasia, elevated serum α-fetoprotein concentration, radiosensitivity and cancer predisposition. Classical A-T is caused by biallelic variants on ATM (ataxia telangiectasia mutated) gene, leading to a loss of function of the protein kinase ATM, involved in DNA damage repair. Atypical presentations can be found in A-T-like disease or in Nijmegen breakage syndrome, caused by deficiency of mre11 or nibrin proteins, respectively. In this report, we present the genetic characterization of a 4-year-old female with clinical diagnosis of A-T. Next-generation sequencing (NGS) revealed two novel heterozygous mutations in the ATM gene: a single-nucleotide variant (SNV) at exon 47 (NM_000051.3:c.6899G > C; p.Trp2300Ser) and ∼90 kb genomic duplication spanning exons 17-61, NG_009830.1:g.(41245_49339)_(137044_147250)dup. These findings were validated by Sanger sequencing and MLPA (multiplex ligation-dependent probe amplification) analysis respectively. Familial segregation study confirmed that the two variants are inherited, and the infant is a compound heterozygote. Thus, our study expands the spectrum of ATM pathogenic variants and demonstrates the utility of targeted NGS in the detection of copy number variation.

B2G-FAR, a species-centered GO annotation repository.

MOTIVATION: Functional genomics research has expanded enormously in the last decade thanks to the cost reduction in high-throughput technologies and the development of computational tools that generate, standardize and share information on gene and protein function such as the Gene Ontology (GO). Nevertheless, many biologists, especially working with non-model organisms, still suffer from non-existing or low-coverage functional annotation, or simply struggle retrieving, summarizing and querying these data. RESULTS: The Blast2GO Functional Annotation Repository (B2G-FAR) is a bioinformatics resource envisaged to provide functional information for otherwise uncharacterized sequence data and offers data mining tools to analyze a larger repertoire of species than currently available. This new annotation resource has been created by applying the Blast2GO functional annotation engine in a strongly high-throughput manner to the entire space of public available sequences. The resulting repository contains GO term predictions for over 13.2 million non-redundant protein sequences based on BLAST search alignments from the SIMAP database. We generated GO annotation for approximately 150 000 different taxa making available 2000 species with the highest coverage through B2G-FAR. A second section within B2G-FAR holds functional annotations for 17 non-model organism Affymetrix GeneChips. CONCLUSIONS: B2G-FAR provides easy access to exhaustive functional annotation for 2000 species offering a good balance between quality and quantity, thereby supporting functional genomics research especially in the case of non-model organisms. AVAILABILITY: The annotation resource is available at http://www.b2gfar.org.