Human Variome Project Research Articles

P135: THE CLINGEN HEMOGLOBINOPATHY VARIANT CURATION EXPERT PANEL

Background: Accurate and consistent interpretation of sequence variants is integral to the delivery of safe and reliable diagnostic genetic services. To standardize the interpretation process, in 2015, the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) published a joint guideline based on different lines of evidence for the classification of sequence variants in Mendelian diseases. The generality of this guideline necessitates the application of expert judgment when evaluating and weighing evidence for variant interpretation. The Clinical Genome Resource (ClinGen) assembles Variant Curation Expert Panels (VCEPs) to perform gene- and disease-specific modifications of the ACMG/AMP framework. The ClinGen Hemoglobinopathy VCEP was created collaboratively between the ITHANET portal and the Global Globin Network of the Human Variome Project towards comprehensive annotation of all variants related to hemoglobinopathies. Aim: The adaptation of the ACMG/AMP variant interpretation guidelines of use in hemoglobinopathies. Methods: The Hemoglobinopathy VCEP focuses on the review and annotation of variants located in the globin gene clusters, namely α-globin locus (NG_000006), which includes genes HBA1, HBA2 and HBZ, and β-globin locus (NG_000007) which includes genes HBB, HBD, HBG1, HBG2 and HBE and the regulatory element LCRB. Using a consensus approach and guidance by the ClinGen Sequence Variant Interpretation Working Group, the Hemoglobinopathy VCEP has prepared a pre-final version of the specified ACMG/AMP criteria for hemoglobinopathies. Results: The Hemoglobinopathy VCEP developed disease-specific rules for sequence variant classification based on evidence criteria that assess variant frequency, variant types and disease causality, protein domains and mutational hotspots implicated in disease, clinical manifestations, segregation, in silico predictions and functional evidence. Conclusions: For the first time, the Hemoglobinopathy VCEP will provide a standardised classification of the pathogenicity of variants related to hemoglobinopathies. The Hemoglobinopathy VCEP specifications were approved by ClinGen in April 2021 (Step 2 approval), which initiated the process of further validation and adaptation with known globin gene variants in a pilot study (toward Step 3 approval).

P128: ITHANET: AN INFORMATION AND DATABASE COMMUNITY PORTAL FOR HAEMOGLOBINOPATHIES

Background: The ITHANET Portal (www.ithanet.eu) is an expanding, publicly available biomedical resource dedicated to haemoglobinopathies. It provides a manually curated, literature-derived collection of published genetic and epidemiological data, also integrating the latest updates on news, events, publications, clinical trials, funding opportunities, and many more. Methods: A team of expert biocurators is involved in the collection, validation and annotation of information with weekly updates on scientific literature collected from PubMed, while the curation strategy also involves the incorporation of new and updated information from existing public databases. ITHANET also accepts contributions to its content with acknowledgement of unpublished data in a specifically designed section. Results: The ITHANET Portal offers a wide range of curated databases, as follows: IthaGenes is a database that organises genes and variations affecting haemoglobinopathies and integrates the NCBI sequence viewer for detailed graphical representation of each variation. IthaMaps is a database that stores epidemiological information as documented in published literature and illustrates this information on a dynamic global to regional map for a total of over 196 countries. IthaChrom provides digitised reports of standard diagnostic high-performance liquid chromatography analyses as a reference tool for haemoglobinopathy diagnosis, allowing database searches of key data. IthaPhen is a database that demonstrates the correlations between genotype and phenotype and is a unique and powerful tool for clinicians and molecular geneticists Conclusions: The ITHANET Portal has a high-profile international governance structure and is already the most comprehensive knowledgebase on haemoglobinopathies. As an official partner of the Human Variome Project’s Global Globin Network, ITHANET has been selected for data storing, curation and sharing within and between countries, as well as for the development of a thalassaemia-specific genotype-phenotype database. In addition, ITHANET is coordinating an Hemoglobinopathy Variant Curation Expert Panel for haemoglobinopathy-specific variant classification under the Clinical Genome Resource.

Optimizing Multiplex PCR for a Set of Malay Ancestry Informative Marker-Single Nucleotide Polymorphisms (AIM-SNPs) and Preliminary Analysis of Genotypes Between Malay and non-Malay Population.

Background: Inference of genetic ancestry is of great interest in many fields and one of the markers in these analyses is ancestry informative marker single nucleotide polymorphisms (AIMSNPs). The Malay population is an ethnic group located mainly in South East Asia and comprises the largest ethnicity in Malaysia.
 Objectives: To determine Malay ancestry, Yahya et al, 2017 selected 37,487 SNPs from the genotyping data collected by the Malaysian Node of the Human Variome Project and Singapore Genome Variation Project and referenced them against the data from the International HapMap Project Phase 3. The SNPs determined to be informative for ancestry were compiled into AIM-SNP panels, and from these a few SNPs were selected for optimization in preparation for single base extension reaction multiplexing.
 Methodology: The chosen AIMSNPs were optimized and validated on Malay and non-Malay populations. Genotyping was carried out on participants of self-reported Malay and non-Malay ancestry respectively and the data were compared for Malay and non-Malay population to investigate for significant differences in the genotype between Malay and non-Malay participants.
 Findings: The results showed great similarities between the Malay and non-Malay population, which may arise from many factors, and further optimization of more SNPs and genotyping is required to definitively conclude the validity of the AIM-SNP panels for Malay population
 Conclusion: Knowledge of ancestry is important to minimise spurious association. This pilot study gives a brief account of the optimization process and offers an insight into how this may be done in South East Asian populations.

Three decades of the Human Genome Organization.

The Human Genome Organization (HUGO) was initially established in 1988 to help integrate international scientific genomic activity and to accelerate the diffusion of knowledge from the efforts of the human genome project. Its founding President was Victor McKusick. During the late 1980s and 1990s, HUGO organized lively gene mapping meetings to accurately place genes on the genome as chromosomes were being sequenced. With the completion of the Human Genome Project, HUGO went through some transitions and self‐reflection. In 2020, HUGO (which hosts a large annual scientific meeting and comprises the renowned HUGO Gene Nomenclature Committee [HGNC], responsible for naming genes, and an outstanding Ethics Committee) was merged with the Human Genome Variation Society (HGVS; which defines the correct nomenclature for variation description) and the Human Variome Project (HVP; championed by the late Richard Cotton) into a single organization that is committed to assembling human genomic variation from all over the world. This consolidated effort, under a new Executive Board and seven focused committees, will facilitate efficient and effective communication and action to bring the benefits of increasing knowledge of genome diversity and biology to people all over the world.

Editorial: JMG in 2021

The need for precision in scientific communication is long established. In genetics, one area in which it is particularly important that information be communicated accurately is the reporting of DNA...

EL NODO ARGENTINO DEL PROYECTO VARIOMA HUMANO EN LOS PRIMEROS DOS AÑOS DE ACTIVIDAD: PASADO, PRESENTE Y FUTURO

The Human Variome Project (HVP) is an international effort aiming systematically to collect and share information on all human genetic variants. It has been working for years in collaboration with local scientific societies by establishing systems to collect every genetic variant reported in a country and to store these variants within a database repository: LOVD (Argentinian chapter: ar.lovd.org). Formally established in 2017 in the Argentinian Node, up to June 2019 we collected more than 25,000 genetic variants deposited by 17 different laboratories. Nowadays the HVP country nodes represent more than 30 countries. In Latin America there are four country nodes: Argentina, Brazil, Mexico and Venezuela; the first two interacted recently launching the LatinGen database. In the present work we want to share our experience in applying the HVP project focusing on its organization, rules and nomenclature to reach the goal of sharing genetic variants and depositing them in the Leiden Open Variation Database. Contributing laboratories are seeking to share variant data to gain access all over the country. It is one of our goals to stimulate the highest quality by organizing courses, applying current nomenclature rules, sponsoring lectures in national congresses, distributing newsletter to serve the Argentinian genomics community and to stimulate the interaction among Latin America countries. Key words: Data sharing, Argentinian chapter of LOVD, Human Variome Project (HVP)-Argentina

Ancestry-informative marker (AIM) SNP panel for the Malay population.

Ancestry-informative markers (AIMs) can be used to infer the ancestry of an individual to minimize the inaccuracy of self-reported ethnicity in biomedical research. In this study, we describe three methods for selecting AIM SNPs for the Malay population (Malay AIM panel) using different approaches based on pairwise FST, informativeness for assignment (In), and PCA-correlated SNPs (PCAIMs). These Malay AIM panels were extracted from genotype data stored in SNP arrays hosted by the Malaysian node of the Human Variome Project (MyHVP) and the Singapore Genome Variation Project (SGVP). In particular, genotype data from a total of 165 Malay individuals were analyzed, comprising data on 117 individual genotypes from the Affymetrix SNP-6 SNP array platform and data on 48 individual genotypes from the OMNI 2.5 Illumina SNP array platform. The HapMap phase 3 database (1397 individuals from 11 populations) was used as a reference for comparison with the Malay genotype data. The accuracy of each resulting Malay AIM panel was evaluated using a machine learning "ancestry-predictive model" constructed by using WEKA, a comprehensive machine learning platform written in Java. A total of 1250 SNPs were finally selected, which successfully identified Malay individuals from other world populations with an accuracy of 90%, but the accuracy decreased to 80% using 157 SNPs according to the pairwise FST method, while a panel of 200 SNPs selected using In and PCAIMs could be used to identify Malay individuals with an accuracy of approximately 80%.

Checklist for gene/disease-specific variation database curators to enable ethical data management.

Databases with variant and phenotype information are essential for advancing research and improving the health and welfare of individuals. These resources require data to be collected, curated, and shared among relevant specialties to maximize impact. The increasing generation of data which must be shared both nationally and globally for maximal effect presents important ethical and privacy concerns. Database curators need to ensure that their work conform to acceptable ethical standards. A Working Group of the Human Variome Project had the task of updating and streamlining ethical guidelines for locus-specific/gene variant database curators. In this article, we present practical and achievable steps which should assist database curators in carrying out their responsibilities within acceptable ethical norms.

My Life Full of "Serendipity" for the J-Pouch.

NPO Biomarker Cancer Prevention Frontier, Nishiochiai, Shinjuku-ku, Tokyo, Japan; Japanese Liasion to the Human Variome Project; Professor Emeritus, Hygo College of Medicine; Former Visiting Professor, Fukushima Medical University, Japan Funding/Support: None reported. Financial Disclaimers: President, NPO Biomarker Cancer Prevention Frontier, Advisor, Genequest https://genequest.jp/. Correspondence: Joji Utsunomiya, M.D., NPO Biomarker Cancer Prevention Frontier, No. 3-10-8. Nishiochiai, Shinjuku-ku, Tokyo, Japan, 03-3952-0813. E-mail: [email protected]

Analysis of the genetic structure of the Malay population: Ancestry-informative marker SNPs in the Malay of Peninsular Malaysia

Malay, the main ethnic group in Peninsular Malaysia, is represented by various sub-ethnic groups such as Melayu Banjar, Melayu Bugis, Melayu Champa, Melayu Java, Melayu Kedah Melayu Kelantan, Melayu Minang and Melayu Patani. Using data retrieved from the MyHVP (Malaysian Human Variome Project) database, a total of 135 individuals from these sub-ethnic groups were profiled using the Affymetrix GeneChip Mapping Xba 50-K single nucleotide polymorphism (SNP) array to identify SNPs that were ancestry-informative markers (AIMs) for Malays of Peninsular Malaysia. Prior to selecting the AIMs, the genetic structure of Malays was explored with reference to 11 other populations obtained from the Pan-Asian SNP Consortium database using principal component analysis (PCA) and ADMIXTURE. Iterative pruning principal component analysis (ipPCA) was further used to identify sub-groups of Malays. Subsequently, we constructed an AIMs panel for Malays using the informativeness for assignment (In) of genetic markers, and the K-nearest neighbor classifier (KNN) was used to teach the classification models. A model of 250 SNPs ranked by In, correctly classified Malay individuals with an accuracy of up to 90%. The identified panel of SNPs could be utilized as a panel of AIMs to ascertain the specific ancestry of Malays, which may be useful in disease association studies, biomedical research or forensic investigation purposes.

Variations in the Genome: The Mutation Detection 2015 Meeting on Detection, Genome Sequencing, and Interpretation.

The content of the 13th Mutation Detection meeting (Leiden, April 2015) is summarized in this report. Topics discussed at the meeting included current challenges of clinical NGS, advances in bioinformatics, data quality control, single cell analysis and RNA sequencing, among others. Social, ethical and regulatory challenges of genomic data handling and data sharing were the focus of an expert panel debate. The 14th International Symposium on Variants in the Genome will take place in Santiago de Compostela, June 5-8, 2017. http://isv.variome.org.

Establishment of an international database for genetic variants in esophageal cancer.

The establishment of a database has been suggested in order to collect, organize, and distribute genetic information about esophageal cancer. The World Organization for Specialized Studies on Diseases of the Esophagus and the Human Variome Project will be in charge of a central database of information about esophageal cancer-related variations from publications, databases, and laboratories; in addition to genetic details, clinical parameters will also be included. The aim will be to get all the central players in research, clinical, and commercial laboratories to contribute. The database will follow established recommendations and guidelines. The database will require a team of dedicated curators with different backgrounds. Numerous layers of systematics will be applied to facilitate computational analyses. The data items will be extensively integrated with other information sources. The database will be distributed as open access to ensure exchange of the data with other databases. Variations will be reported in relation to reference sequences on three levels--DNA, RNA, and protein-whenever applicable. In the first phase, the database will concentrate on genetic variations including both somatic and germline variations for susceptibility genes. Additional types of information can be integrated at a later stage.

The Human Variome Project.

The practical realization of genomics has meant a growing realization that variant interpretation is a major barrier to practical use of DNA sequence data. The late Professor Dick Cotton devoted his life to innovation in molecular genetics and was a prime mover in the international response to the need to understand the "variome." His leadership resulted in the launch first of the Human Genetic Variation Society and then, in 2006, an international agreement to launch the Human Variome Project (HVP), aimed at data integration enabled by standards and infrastructure of the databases of variants being identified in families with a range of inherited disorders. The project attracted a network of affiliates across 81 countries and earned formal recognition by UNESCO, which now hosts its biennial meetings. It has also signed a Memorandum of Understanding with the World Health Organization. Future progress will depend on longer term secure funding and integration with the efforts of the genomics community where the rapid advances in sequencing technology have enabled variant capture on a previously unimaginable scale. Efforts are underway to integrate the efforts of HVP with those of the Global Alliance for Genomics and Health to provide a lasting legacy of Dick Cotton's vision.

HGVS Recommendations for the Description of Sequence Variants: 2016 Update.

The consistent and unambiguous description of sequence variants is essential to report and exchange information on the analysis of a genome. In particular, DNA diagnostics critically depends on accurate and standardized description and sharing of the variants detected. The sequence variant nomenclature system proposed in 2000 by the Human Genome Variation Society has been widely adopted and has developed into an internationally accepted standard. The recommendations are currently commissioned through a Sequence Variant Description Working Group (SVD-WG) operating under the auspices of three international organizations: the Human Genome Variation Society (HGVS), the Human Variome Project (HVP), and the Human Genome Organization (HUGO). Requests for modifications and extensions go through the SVD-WG following a standard procedure including a community consultation step. Version numbers are assigned to the nomenclature system to allow users to specify the version used in their variant descriptions. Here, we present the current recommendations, HGVS version 15.11, and briefly summarize the changes that were made since the 2000 publication. Most focus has been on removing inconsistencies and tightening definitions allowing automatic data processing. An extensive version of the recommendations is available online, at http://www.HGVS.org/varnomen.

Human Variome Project Quality Assessment Criteria for Variation Databases.

Numerous databases containing information about DNA, RNA, and protein variations are available. Gene-specific variant databases (locus-specific variation databases, LSDBs) are typically curated and maintained for single genes or groups of genes for a certain disease(s). These databases are widely considered as the most reliable information source for a particular gene/protein/disease, but it should also be made clear they may have widely varying contents, infrastructure, and quality. Quality is very important to evaluate because these databases may affect health decision-making, research, and clinical practice. The Human Variome Project (HVP) established a Working Group for Variant Database Quality Assessment. The basic principle was to develop a simple system that nevertheless provides a good overview of the quality of a database. The HVP quality evaluation criteria that resulted are divided into four main components: data quality, technical quality, accessibility, and timeliness. This report elaborates on the developed quality criteria and how implementation of the quality scheme can be achieved. Examples are provided for the current status of the quality items in two different databases, BTKbase, an LSDB, and ClinVar, a central archive of submissions about variants and their clinical significance.

Harmonizing the interpretation of genetic variants across the world: the Malaysian experience.

BackgroundDatabases for gene variants are very useful for sharing genetic data and to facilitate the understanding of the genetic basis of diseases. This report summarises the issues surrounding the development of the Malaysian Human Variome Project Country Node. The focus is on human germline variants. Somatic variants, mitochondrial variants and other types of genetic variation have corresponding databases which are not covered here, as they have specific issues that do not necessarily apply to germline variations.ResultsThe ethical, legal, social issues, intellectual property, ownership of the data, information technology implementation, and efforts to improve the standards and systems used in data sharing are discussed.ConclusionAn overarching framework such as provided by the Human Variome Project to co-ordinate activities is invaluable. Country Nodes, such as MyHVP, enable human gene variation associated with human diseases to be collected, stored and shared by all disciplines (clinicians, molecular biologists, pathologists, bioinformaticians) for a consistent interpretation of genetic variants locally and across the world.

AB052. The Human Variome Project (HVP) and the HVP ASEAN Node

The Human Variome Project (HVP) is an international NGO that is working to build capacity in responsible clinical genomics around the world. Founded in 2006, and lead in its early years by Professor Richard Cotton, the Project has grown to become a global movement with over 1,300 individual members from 81 countries and close to 200 data provider members. The project works to ensure that the lack of access to information on genetic variants and their effects on human health is not an impediment to diagnosis and treatment. Together with partner organisations including national and regional human genetics societies, national governments and intergovernmental organisations such as UNESCO—of which the HVP is an NGO official partner—the project establishes standards, guidelines and best practices for the responsible development and operation of genetic variation data sharing infrastructure, facilitates training and education of the public and the clinical genomics field and assists in embedding data sharing into routine clinical practice. The HVP believes that the free and open sharing of genetic variation is fundamental to providing quality clinical care. To ensure that this data can be collected, curated, interpreted and shared in a responsible manner that is respectful of the diverse ethical, legal and social differences of its member countries, the HVP works with local stakeholders in each country to establish HVP Country Nodes. An HVP Country Node is defined as having three components: (I) a repository, or linked network of databases, that collect and store information on variation in the human genome that has been generated within each country and that enables the sharing of that information both nationally and internationally; (II) a governance structure that ensures that the work of the Node is both sustainable in the long term and is consistent with all relevant national and international ethical, legal and social requirements; and (III) a set of policies and procedures that ensures that the repository is operated and maintained in a responsible and accountable manner that is consistent with both national and HVP Standards. The HVP Malaysian Node (MyHVP), one of 23 HVP Country Nodes currently in existence, was established in 2010 and officially launched by Professor Cotton. The MyHVP database was made available on the internet a year later. The HVP Malaysian Node has taken a key role in the region and has worked to establish the HVP ASEAN Regional Node. Among its objectives is to foster closer collaboration among ASEAN member states on issues relating to data sharing, data basing and variant interpretation expertise, resources and technical facilities. The HVP ASEAN Regional Node also provides help with capacity building and training, especially to less well-resourced countries in the South East Asian region, for example Cambodia, Laos, and Myanmar. The HVP ASEAN Regional Node was launched in 2013 at Universiti Sains Malaysia, Kota Bharu, Malaysia. Representatives from Thailand, Vietnam, Singapore, Brunei, Indonesia, Philippines and the international Human Variome Project were represented. This presentation will provide an in-depth overview of the HVP ASEAN Regional Node and its progress to date.

The first Malay database toward the ethnic-specific target molecular variation.

BackgroundThe Malaysian Node of the Human Variome Project (MyHVP) is one of the eighteen official Human Variome Project (HVP) country-specific nodes. Since its inception in 9th October 2010, MyHVP has attracted the significant number of Malaysian clinicians and researchers to participate and contribute their data to this project. MyHVP also act as the center of coordination for genotypic and phenotypic variation studies of the Malaysian population. A specialized database was developed to store and manage the data based on genetic variations which also associated with health and disease of Malaysian ethnic groups. This ethnic-specific database is called the Malaysian Node of the Human Variome Project database (MyHVPDb).FindingsCurrently, MyHVPDb provides only information about the genetic variations and mutations found in the Malays. In the near future, it will expand for the other Malaysian ethnics as well. The data sets are specified based on diseases or genetic mutation types which have three main subcategories: Single Nucleotide Polymorphism (SNP), Copy Number Variation (CNV) followed by the mutations which code for the common diseases among Malaysians. MyHVPDb has been open to the local researchers, academicians and students through the registration at the portal of MyHVP (http://hvpmalaysia.kk.usm.my/mhgvc/index.php?id=register).ConclusionsThis database would be useful for clinicians and researchers who are interested in doing a study on genomics population and genetic diseases in order to obtain up-to-date and accurate information regarding the population-specific variations and also useful for those in countries with similar ethnic background.

Understanding the Implications of Mitochondrial DNA Variation in the Health of Black Southern African Populations: The 2014 Workshop.

Understanding the Implications of Mitochondrial DNA Variation in the Health of Black Southern African Populations: The 2014 Workshop.

Standard development at the Human Variome Project.

The Human Variome Project (HVP) is a world organization working towards facilitating the collection, curation, interpretation and free and open sharing of genetic variation information. A key component of HVP activities is the development of standards and guidelines. HVP Standards are systems, procedures and technologies that the HVP Consortium has determined must be used by HVP-affiliated data sharing infrastructure and should be used by the broader community. HVP guidelines are considered to be beneficial for HVP affiliated data sharing infrastructure and the broader community to adopt. The HVP also maintains a process for assessing systems, processes and tools that implement HVP Standards and Guidelines. Recommended System Status is an accreditation process designed to encourage the adoption of HVP Standards and Guidelines. Here, we describe the HVP standards development process and discuss the accepted standards, guidelines and recommended systems as well as those under acceptance. Certain HVP Standards and Guidelines are already widely adopted by the community and there are committed users for the others.