La necesidad del intercambio transfronterizo de datos genéticos con fines de investigación criminal en América Latina: retos para su implementación / The need for cross-border exchange of genetic data for criminal investigation purposes in Latin America: implementation challenges

Las bases de datos genéticas con fines de investigación criminal constituyen una herramienta de indiscutible utilidad en la investigación de hechos delictivos.En América Latina existe un progresivo avance en la implementación de bases de datos para uso forense. La legislación existente es escasa, y heterogénea, tanto respecto de los delitos que se incluyen, como de la situación de los individuos cuyo ADN es pasible de registro. La mayoría no exige la acreditación de los laboratorios forenses bajo la norma ISO 17025. Las bases de datos de ADN existentes carecen, actualmente, de un régimen normalizado de comunicación.El establecimiento de un sistema de consulta e intercambio de datos genéticos en apoyo a los sistemas penales nacionales y a la persecución de delitos a nivel internacional, demanda acuerdos de cooperación, para lo cual, los implementados en la Unión Europea desde 1992, perfeccionados con la decisión de Prüm, constituyen un valioso referente. (AU)

DNA databases for criminal investigation purposes, constitute a tool of indisputable utility in the investigation of criminal acts.In the countries of Latin America there is a progressive advance in the implementation of databases for forensic use. The existing legislation is limited, and it is also heterogeneous both with respect to the crimes included and the procedural situation of the individuals whose DNA is subject to registration. Most of them do not require the accreditation of the forensic laboratories under the ISO 17025 standard. Existing DNA databases currently lack a standard communication regime.The establishment of a system of consultation and exchange of genetic data in support of national criminal systems and the prosecution of crimes at the international level, demands cooperation agreements, for which, those implemented in the European Union since 1992, perfected with the decision of Prüm, constitute a valuable reference. (AU)

NCBI Genome Workbench: Desktop Software for Comparative Genomics, Visualization, and GenBank Data Submission.

The book chapter introduces the National Center for Biotechnology Information (NCBI) Genome Workbench, a desktop GUI software package to manipulate and visualize complex molecular biology models provided in many data formats. Genome Workbench integrates graphical views and computational tools in a single package to facilitate discoveries. In this chapter we provide a step-by-step protocol guidance on how to do comparative analysis of sequences using NCBI BLAST and multiple sequence alignment algorithms, build phylogenetic trees, and use graphical views for sequences, alignments, and trees to validate the findings. The software package can be used to prepare high-quality whole genome submissions to NCBI. The software package is user-friendly and includes validation and editing tools to fix errors as part of preparing the submission.

The European Bioinformatics Institute: empowering cooperation in response to a global health crisis.

The European Bioinformatics Institute (EMBL-EBI; https://www.ebi.ac.uk/) provides freely available data and bioinformatics services to the scientific community, alongside its research activity and training provision. The 2020 COVID-19 pandemic has brought to the forefront a need for the scientific community to work even more cooperatively to effectively tackle a global health crisis. EMBL-EBI has been able to build on its position to contribute to the fight against COVID-19 in a number of ways. Firstly, EMBL-EBI has used its infrastructure, expertise and network of international collaborations to help build the European COVID-19 Data Platform (https://www.covid19dataportal.org/), which brings together COVID-19 biomolecular data and connects it to researchers, clinicians and public health professionals. By September 2020, the COVID-19 Data Platform has integrated in excess of 170 000 COVID-19 biomolecular data and literature records, collected through a number of EMBL-EBI resources. Secondly, EMBL-EBI has strived to continue its support of the life science communities through the crisis, with updated Training provision and improved service provision throughout its resources. The COVID-19 pandemic has highlighted the importance of EMBL-EBI's core principles, including international cooperation, resource sharing and central data brokering, and has further empowered scientific cooperation.

EVLncRNAs 2.0: an updated database of manually curated functional long non-coding RNAs validated by low-throughput experiments.

Long non-coding RNAs (lncRNAs) play important functional roles in many diverse biological processes. However, not all expressed lncRNAs are functional. Thus, it is necessary to manually collect all experimentally validated functional lncRNAs (EVlncRNA) with their sequences, structures, and functions annotated in a central database. The first release of such a database (EVLncRNAs) was made using the literature prior to 1 May 2016. Since then (till 15 May 2020), 19 245 articles related to lncRNAs have been published. In EVLncRNAs 2.0, these articles were manually examined for a major expansion of the data collected. Specifically, the number of annotated EVlncRNAs, associated diseases, lncRNA-disease associations, and interaction records were increased by 260%, 320%, 484% and 537%, respectively. Moreover, the database has added several new categories: 8 lncRNA structures, 33 exosomal lncRNAs, 188 circular RNAs, and 1079 drug-resistant, chemoresistant, and stress-resistant lncRNAs. All records have checked against known retraction and fake articles. This release also comes with a highly interactive visual interaction network that facilitates users to track the underlying relations among lncRNAs, miRNAs, proteins, genes and other functional elements. Furthermore, it provides links to four new bioinformatics tools with improved data browsing and searching functionality. EVLncRNAs 2.0 is freely available at https://www.sdklab-biophysics-dzu.net/EVLncRNAs2/.

DDBJ update: streamlining submission and access of human data.

The Bioinformation and DDBJ Center (DDBJ Center, https://www.ddbj.nig.ac.jp) provides databases that capture, preserve and disseminate diverse biological data to support research in the life sciences. This center collects nucleotide sequences with annotations, raw sequencing data, and alignment information from high-throughput sequencing platforms, and study and sample information, in collaboration with the National Center for Biotechnology Information (NCBI) and the European Bioinformatics Institute (EBI). This collaborative framework is known as the International Nucleotide Sequence Database Collaboration (INSDC). In collaboration with the National Bioscience Database Center (NBDC), the DDBJ Center also provides a controlled-access database, the Japanese Genotype-phenotype Archive (JGA), which archives and distributes human genotype and phenotype data, requiring authorized access. The NBDC formulates guidelines and policies for sharing human data and reviews data submission and use applications. To streamline all of the processes at NBDC and JGA, we have integrated the two systems by introducing a unified login platform with a group structure in September 2020. In addition to the public databases, the DDBJ Center provides a computer resource, the NIG supercomputer, for domestic researchers to analyze large-scale genomic data. This report describes updates to the services of the DDBJ Center, focusing on the NBDC and JGA system enhancements.

DNAmoreDB, a database of DNAzymes.

Deoxyribozymes, DNA enzymes or simply DNAzymes are single-stranded oligo-deoxyribonucleotide molecules that, like proteins and ribozymes, possess the ability to perform catalysis. Although DNAzymes have not yet been found in living organisms, they have been isolated in the laboratory through in vitro selection. The selected DNAzyme sequences have the ability to catalyze a broad range of chemical reactions, utilizing DNA, RNA, peptides or small organic compounds as substrates. DNAmoreDB is a comprehensive database resource for DNAzymes that collects and organizes the following types of information: sequences, conditions of the selection procedure, catalyzed reactions, kinetic parameters, substrates, cofactors, structural information whenever available, and literature references. Currently, DNAmoreDB contains information about DNAzymes that catalyze 20 different reactions. We included a submission form for new data, a REST-based API system that allows users to retrieve the database contents in a machine-readable format, and keyword and BLASTN search features. The database is publicly available at https://www.genesilico.pl/DNAmoreDB/.

cncRNAdb: a manually curated resource of experimentally supported RNAs with both protein-coding and noncoding function.

RNA endowed with both protein-coding and noncoding functions is referred to as 'dual-function RNA', 'binary functional RNA (bifunctional RNA)' or 'cncRNA (coding and noncoding RNA)'. Recently, an increasing number of cncRNAs have been identified, including both translated ncRNAs (ncRNAs with coding functions) and untranslated mRNAs (mRNAs with noncoding functions). However, an appropriate database for storing and organizing cncRNAs is still lacking. Here, we developed cncRNAdb, a manually curated database of experimentally supported cncRNAs, which aims to provide a resource for efficient manipulation, browsing and analysis of cncRNAs. The current version of cncRNAdb documents about 2600 manually curated entries of cncRNA functions with experimental evidence, involving more than 2,000 RNAs (including over 1300 translated ncRNAs and over 600 untranslated mRNAs) across over 20 species. In summary, we believe that cncRNAdb will help elucidate the functions and mechanisms of cncRNAs and develop new prediction methods. The database is available at http://www.rna-society.org/cncrnadb/.

RNAcentral 2021: secondary structure integration, improved sequence search and new member databases.

RNAcentral is a comprehensive database of non-coding RNA (ncRNA) sequences that provides a single access point to 44 RNA resources and >18 million ncRNA sequences from a wide range of organisms and RNA types. RNAcentral now also includes secondary (2D) structure information for >13 million sequences, making RNAcentral the world's largest RNA 2D structure database. The 2D diagrams are displayed using R2DT, a new 2D structure visualization method that uses consistent, reproducible and recognizable layouts for related RNAs. The sequence similarity search has been updated with a faster interface featuring facets for filtering search results by RNA type, organism, source database or any keyword. This sequence search tool is available as a reusable web component, and has been integrated into several RNAcentral member databases, including Rfam, miRBase and snoDB. To allow for a more fine-grained assignment of RNA types and subtypes, all RNAcentral sequences have been annotated with Sequence Ontology terms. The RNAcentral database continues to grow and provide a central data resource for the RNA community. RNAcentral is freely available at https://rnacentral.org.

El fenotipado de ADN como potencial herramienta investigativa en el campo de la genética forense. Estado actual / Forensic DNA phenotyping: a promising tool to aid forensic investigation. Current situation

El fenotipado de ADN forense mediante massive parallel sequencing es una técnica emergente dentro del campo de la genética forense, que permite predecir características visibles del individuo a partir del ADN. Esta herramienta se ha convertido en una de las más potentes para ayudar a estrechar el cerco investigativo en diferentes casos forenses. Hasta ahora el color de ojos, de piel y de pelo son los rasgos fenotípicos que se pueden predecir con la suficiente precisión y fiabilidad como para usarlos en la práctica forense. Sin embargo, esta técnica no está implementada todavía de manera rutinaria en este campo debido, principalmente, a la falta de conocimiento genético completo sobre la pigmentación y los rasgos faciales humanos; y la menor predictibilidad de los fenotipos intermedios. Además, su aplicación en algunos países ha suscitado una serie de cuestiones éticas y sociales, así como legales, siendo estos últimos los más determinantes en la implementación de esta herramienta

Forensic DNA Phenotyping (FDP) based on massive parallel sequencing (MPS) is an emerging technique within Forensic Genetics that enables the prediction of an individual's externally visible characteristics (EVCs) from DNA. Because of its achievements, FDP has become one of the most useful additional tools for aiding police investigations to narrow down the investigative pool in different types of forensic cases. Eye, hair and skin colour can now be predicted reliably and with practically useful accuracy. However, FDP has not yet been routinely implemented in the forensic science field due to, principally, the lack of complete genetic knowledge of pigmentation and facial traits and the lower predictability of intermediate phenotypes. Furthermore, in some countries its application has given rise to a number of ethical, social and legal issues, the latter being the most restrictive barrier to the implementation of FDP

Organización y funcionamiento de la base de datos de ADN de interés criminal en España / Organization and operation of the Spanish DNA database

No disponible

Metodología para la revisión y control de calidad de análisis genéticos en los procesos de identificación masiva de víctimas: la experiencia en Chile / Methodology for quality review and control of genetic analyses in processes of mass identification of victims: the experience in Chile

En los últimos años la genética ha adquirido una gran importancia en los procesos de identificación masiva de víctimas y constituye, en muchos casos, la única herramienta útil. Algunas instituciones externalizan estos análisis en laboratorios especializados. Es el caso de la Unidad de Derechos Humanos del Servicio Médico Legal (SML) de Chile, creada con el objetivo de identificar y restituir a las familias los restos de las víctimas de la dictadura cívico-militar instaurada en el país entre 1973 y 1990, que provocó más de 1.300 desaparecidos y muertos sin entrega. La externalización de los análisis impone la necesidad de establecer una rigurosa sistemática de revisión y control de calidad de los análisis realizados por el laboratorio externo, lo que incluye asegurar la trazabilidad de las muestras y los análisis, además de reproducir tanto la comparación de los perfiles genéticos como su valoración estadística. En este trabajo se presenta la experiencia del SML en esta materia y se establecen una serie de recomendaciones que pueden ser utilizadas como guía por otras instituciones que decidan externalizar los análisis genéticos en procesos de identificación masiva de víctimas

In recent years, genetics has acquired great importance in the processes of mass victim identification and, in many cases, is the only useful tool. Some institutions outsource these analyses to specialized laboratories. This is the case of the Human Rights Unit of the Legal Medical Service (SML) of Chile, created with the objective of identifying and restoring to families the remains of the victims of the civic-military dictatorship established in the country between 1973 and 1990, which caused more than 1,300 missing and dead without delivery. The outsourcing of the analyses imposes the need to establish a rigorous systematic review and quality control of the analyses performed by the external laboratory, which includes ensuring traceability of the samples and analyses, in addition to reproducing the comparison of the genetic profiles and their statistical assessment. This paper presents the experience of the SML in this area and establishes a series of recommendations that can be used as a guide by other institutions that decide to outsource genetic analysis in processes of mass identification of victims

FDA-ARGOS is a database with public quality-controlled reference genomes for diagnostic use and regulatory science.

FDA proactively invests in tools to support innovation of emerging technologies, such as infectious disease next generation sequencing (ID-NGS). Here, we introduce FDA-ARGOS quality-controlled reference genomes as a public database for diagnostic purposes and demonstrate its utility on the example of two use cases. We provide quality control metrics for the FDA-ARGOS genomic database resource and outline the need for genome quality gap filling in the public domain. In the first use case, we show more accurate microbial identification of Enterococcus avium from metagenomic samples with FDA-ARGOS reference genomes compared to non-curated GenBank genomes. In the second use case, we demonstrate the utility of FDA-ARGOS reference genomes for Ebola virus target sequence comparison as part of a composite validation strategy for ID-NGS diagnostic tests. The use of FDA-ARGOS as an in silico target sequence comparator tool combined with representative clinical testing could reduce the burden for completing ID-NGS clinical trials.

Genetic Variations and Precision Medicine.

The time and costs associated with the sequencing of a human genome have decreased significantly in recent years. Many people have chosen to have their genomes sequenced to receive genomics-based personalized healthcare services. To reach the goal of genomics-based precision medicine, health information management (HIM) professionals need to manage and analyze patients' genomic data. Two important pieces of information from the genome sequence are the risk of genetic diseases and the specific medication or pharmacogenomic results for the individual patient, both of which are linked to a patient's genetic variations. In this review article, we introduce genetic variations, including their data types, relevant databases, and some currently available analysis methods and systems. HIM professionals can choose to use these databases, methods, and systems in the management and analysis of patients' genomic data.

[GSA: Genome Sequence Archive].

The Genome Sequence Archive (GSA), a new data repository for raw sequence reads in China, has been developed in compliance with the International Nucleotide Sequence Database Collaboration (INSDC) standards. It supports data generated from a variety of sequencing platforms ranging from Sanger sequencing to single-cell sequencing and provides data storing and sharing services freely for worldwide scientific communities. Since it went online in late 2015, GSA has archived more than 500 TB data and been acknowledged by many high-profile journals, including Cell, Nature, PNAS, GPB, etc. Focusing on omics data submission, storing and sharing typically for Chinese users, GSA promotes the initiative of the National Bioinformatics Center of China. This paper introduces the specifies of GSA as data collection, curation, management and exchange to facilitate users to understand and use GSA database.

Duplicates, redundancies and inconsistencies in the primary nucleotide databases: a descriptive study.

GenBank, the EMBL European Nucleotide Archive and the DNA DataBank of Japan, known collectively as the International Nucleotide Sequence Database Collaboration or INSDC, are the three most significant nucleotide sequence databases. Their records are derived from laboratory work undertaken by different individuals, by different teams, with a range of technologies and assumptions and over a period of decades. As a consequence, they contain a great many duplicates, redundancies and inconsistencies, but neither the prevalence nor the characteristics of various types of duplicates have been rigorously assessed. Existing duplicate detection methods in bioinformatics only address specific duplicate types, with inconsistent assumptions; and the impact of duplicates in bioinformatics databases has not been carefully assessed, making it difficult to judge the value of such methods. Our goal is to assess the scale, kinds and impact of duplicates in bioinformatics databases, through a retrospective analysis of merged groups in INSDC databases. Our outcomes are threefold: (1) We analyse a benchmark dataset consisting of duplicates manually identified in INSDC-a dataset of 67 888 merged groups with 111 823 duplicate pairs across 21 organisms from INSDC databases - in terms of the prevalence, types and impacts of duplicates. (2) We categorize duplicates at both sequence and annotation level, with supporting quantitative statistics, showing that different organisms have different prevalence of distinct kinds of duplicate. (3) We show that the presence of duplicates has practical impact via a simple case study on duplicates, in terms of GC content and melting temperature. We demonstrate that duplicates not only introduce redundancy, but can lead to inconsistent results for certain tasks. Our findings lead to a better understanding of the problem of duplication in biological databases.Database URL: the merged records are available at https://cloudstor.aarnet.edu.au/plus/index.php/s/Xef2fvsebBEAv9w.

Challenges raised by cross-border testing of rare diseases in the European union.

As the availability of genetic tests has grown rapidly during the last decade along with the increasing knowledge of the genetic background of rare inherited diseases, sending DNA samples to another country for analysis has become more of a routine than an exception in clinical diagnostics. Nonetheless, few studies of cross-border genetic testing of rare diseases in the European Union (EU) have been carried out, and data about the challenges and problems related to cross-border testing are lacking. The purpose of this study was to investigate the experiences of the molecular genetic laboratories and the clinical genetics units concerning the cross-border genetic testing of rare diseases in the Member States of the EU. Data were collected using web-based questionnaires and phone interviews targeted at laboratories and clinical units registered with the Orphanet database. The specific aims were to clarify the volume, quality and challenges of cross-border genetic testing. The results revealed, for example, that the variability of the required documentation creates confusion and, unexpectedly, sample dispatch was considered a major problem in cross-border testing. In addition, the differences between countries regarding the reimbursement and authorization policies of cross-border testing were significant, thus confirming the pre-existing assumption about unequal access to genetic testing in the different Member States. To facilitate and organize cross-border testing, common practices need to be created at the level of the EU, and follow-up studies are needed to monitor their effects.

A nationwide database linking information on the hosts with sequence data of their virus strains: A useful tool for the eradication of bovine viral diarrhea (BVD) in Switzerland.

Pestiviruses infect a wide variety of animals of the order Artiodactyla, with bovine viral diarrhea virus (BVDV) being an economically important pathogen of livestock globally. BVDV is maintained in the cattle population by infecting fetuses early in gestation and, thus, by generating persistently infected (PI) animals that efficiently transmit the virus throughout their lifetime. In 2008, Switzerland started a national control campaign with the aim to eradicate BVDV from all bovines in the country by searching for and eliminating every PI cattle. Different from previous eradication programs, all animals of the entire population were tested for virus within one year, followed by testing each newborn calf in the subsequent four years. Overall, 3,855,814 animals were tested from 2008 through 2011, 20,553 of which returned an initial BVDV-positive result. We were able to obtain samples from at least 36% of all initially positive tested animals. We sequenced the 5' untranslated region (UTR) of more than 7400 pestiviral strains and compiled the sequence data in a database together with an array of information on the PI animals, among others, the location of the farm in which they were born, their dams, and the locations where the animals had lived. To our knowledge, this is the largest database combining viral sequences with animal data of an endemic viral disease. Using unique identification tags, the different datasets within the database were connected to run diverse molecular epidemiological analyses. The large sets of animal and sequence data made it possible to run analyses in both directions, i.e., starting from a likely epidemiological link, or starting from related sequences. We present the results of three epidemiological investigations in detail and a compilation of 122 individual investigations that show the usefulness of such a database in a country-wide BVD eradication program.