Novel LOVD databases for hereditary breast cancer and colorectal cancer genes in the Chinese population

The Human Variome Project (HVP) is an international consortium of clinicians, geneticists, and researchers from over 30 countries, aiming to facilitate the establishment and maintenance of standards, systems, and infrastructure for the worldwide collection and sharing of all genetic variations effecting human disease. The HVP-China Node will build new and supplement existing databases of genetic diseases. As the first effort, we have created a novel variant database of BRCA1 and BRCA2, mismatch repair genes (MMR), and APC genes for breast cancer, Lynch syndrome, and familial adenomatous polyposis (FAP), respectively, in the Chinese population using the Leiden Open Variation Database (LOVD) format. We searched PubMed and some Chinese search engines to collect all the variants of these genes in the Chinese population that have already been detected and reported. There are some differences in the gene variants between the Chinese population and that of other ethnicities. The database is available online at http://www.genomed.org/LOVD/. Our database will appear to users who survey other LOVD databases (e.g., by Google search, or by NCBI GeneTests search). Remote submissions are accepted, and the information is updated monthly.     

The cypriot and Iranian National Mutation Frequency Databases

The National Mutation Frequency Databases are continuously updated mutation depositories, which contain extensive information over the described genetic heterogeneity of an ethnic group or population. Here, we report the construction of the Cypriot (http://www.goldenhelix.org/cypriot) and Iranian National Mutation Frequency Databases (http://www.goldenhelix.org/iranian), both derived from an academic effort to provide high quality and up-to-date information on the underlying genetic heterogeneity of inherited disorders in the Cypriot and Iranian populations, respectively. Both databases have been built and maintained online using ETHNOS platform, a specialized software, which provides the means for national mutation database construction and curation. Each database contains brief summaries of the various genetic disorders studied for each population, and an easy-to-use query interface provides, both to specialist as well as to non-specialist users (i.e. patients and their families), instant access to the list and frequencies of the different mutations responsible for the inherited disorders in these populations. Furthermore, numerous links to the respective Online Mendelian Inheritance in Man (OMIM) entries and, when available, to the locus-specific databases fruitfully integrate the databases content into a single Web site. Both databases can serve as valuable online tools for molecular genetic testing of inherited disorders in these populations and could potentially motivate further investigations of yet unknown genetic diseases in the Cypriot and Iranian populations.     

Database of somatic mutations in EGFR with analyses revealing indel hotspots but no smoking-associated signature

We created an Epidermal Growth Factor Receptor (EGFR) Mutation Database (http://www.cityofhope.org/cmdl/egfr_db) that curates a convenient compilation of somatic EGFR mutations in non-small-cell lung cancer (NSCLC) and associated epidemiological and methodological data, including response to the tyrosine kinase inhibitors Gefitinib and Erlotinib. Herein, we analyze 809 mutations collected from 26 publications. Four super hotspots account for 70% of reported mutations while two-thirds of 131 unique mutations have been reported only once and account for only 11% of reported mutations. Consistent with strong biological selection for gain of function, the reported mutations are virtually all missense substitutions or in-frame microdeletions, microinsertions, or microindels (colocalized insertion and deletion with a net gain or loss of 1-50 nucleotides). Microdeletions and microindels are common in a region of exon 19. Microindels, which account for 8% of mutations, have smaller inserted sequences (95% are 1 to 5 bp) and are elevated 16-fold relative to mouse somatic microindels and to human germline microindels. Microdeletions/microindels are significantly more frequent in responders to Gefitinib or Erlotinib (P = 0.003). In addition, EGFR mutations in smokers do not carry signatures of mutagens in cigarette smoke. Otherwise, the mutation pattern does not differ significantly with respect to gender, age, or tumor histology. The EGFR Mutation Database is a central resource of EGFR sequence variant data for clinicians, geneticists, and other researchers. Authors are encouraged to submit new publications with EGFR sequence variants to be included in the database or to provide direct submissions via The WayStation submission and publication process (http://www.centralmutations.org).     

LQTS gene LOVD database

The Long QT Syndrome (LQTS) is a group of genetically heterogeneous disorders that predisposes young individuals to ventricular arrhythmias and sudden death. LQTS is mainly caused by mutations in genes encoding subunits of cardiac ion channels (KCNQ1, KCNH2, SCN5A, KCNE1, and KCNE2). Many other genes involved in LQTS have been described recently (KCNJ2, AKAP9, ANK2, CACNA1C, SCNA4B, SNTA1, and CAV3). We created an online database ( http://www.genomed.org/LOVD/introduction.html ) that provides information on variants in LQTS‐associated genes. As of February 2010, the database contains 1738 unique variants in 12 genes. A total of 950 variants are considered pathogenic, 265 are possible pathogenic, 131 are unknown/unclassified, and 292 have no known pathogenicity. In addition to these mutations collected from published literature, we also submitted information on gene variants, including one possible novel pathogenic mutation in the KCNH2 splice site found in ten Chinese families with documented arrhythmias. The remote user is able to search the data and is encouraged to submit new mutations into the database. The LQTS database will become a powerful tool for both researchers and clinicians. © 2010 Wiley‐Liss, Inc.     

G6PDdb, an integrated database of glucose-6-phosphate dehydrogenase (G6PD) mutations

G6PDdb (http://www.rubic.rdg.ac.uk/g6pd/ or http://www.bioinf.org.uk/g6pd/) is a newly created web-accessible locus-specific mutation database for the human Glucose-6-phosphate dehydrogenase (G6PD) gene. The relational database integrates up-to-date mutational and structural data from various databanks (GenBank, Protein Data Bank, etc.) with biochemically characterized variants and their associated phenotypes obtained from published literature and the Favism website. An automated analysis of the mutations likely to have a significant impact on the structure of the protein has been performed using a recently developed procedure. The database may be queried online and the full results of the analysis of the structural impact of mutations are available. The web page provides a form for submitting additional mutation data and is linked to resources such as the Favism website, OMIM, HGMD, HGVBASE, and the PDB. This database provides insights into the molecular aspects and clinical significance of G6PD deficiency for researchers and clinicians and the web page functions as a knowledge base relevant to the understanding of G6PD deficiency and its management.     

Modelling foetal growth in a bi-ethnic sample: results from the Born in Bradford (BiB) birth cohort

Background: Attempts to explain the increased risk for metabolic disorders observed in South Asians have focused on the “South Asian” phenotype at birth and subsequent post-natal growth, with little research on pre-natal growth.

Aim: To identify whether divergent growth patterns exist for foetal weight, head (HC) and abdominal circumferences (AC) in a sample of Pakistani and White British foetuses.

Subjects and methods: Models were based on 5553 (weight), 5154 (HC) and 5099 (AC) foetuses from the Born in Bradford birth cohort. Fractional polynomials and mixed effects models were employed to determine growth patterns from ～15 weeks of gestation-birth.

Results: Pakistani foetuses were significantly smaller and lighter as early as 20 weeks. However, there was no ethnic difference in the growth patterns of weight and HC. For AC, Pakistani foetuses displayed a trend for reduced growth in the final trimester.

Conclusion: As the pattern of weight and HC growth was not significantly different during the period under investigation, the mechanism culminating in the reduced Pakistani size at birth may act earlier in gestation. Reduced AC growth in Pakistanis may represent reduced growth of the visceral organs, with consequences for post-natal liver metabolism and renal function.     

The place of Slovakian paternal diversity in the clinal European landscape

Background: Several demographic events have been postulated to explain the contemporaneous structure of European genetic diversity. First, an initial settlement of the continent by anatomically modern humans; second, the re-settlement of northern latitudes after the Last Glacial Maximum; third, the demic diffusion of Neolithic farmers from the Near East; and, fourth, several historical events such as the Slavic migration.

Aim: The aim of this study was to provide a more integrated picture of male-specific genetic relationships of Slovakia within the broader pan-European genetic landscape.

Subjects and methods: This study analysed a new Y-chromosome data-set (156 individuals) for both SNP and STR polymorphisms in population samples from five different Slovakian localities.

Results: It was found that the male diversity of Slovakia is embedded in the clinal pattern of the major R1a and R1b clades extending over the continent and a similar pattern of population structure is found with Y-specific SNP or STR variation.

Conclusion: The highly significant correlation between the results based on fast evolving STRs on one hand and slow evolving SNPs on the other hand suggests a recent timeframe for the settlement of the area.     

Unity in diversity: an overview of the genomic anthropology of India

Context: India is considered a treasure for geneticists and evolutionary biologists due to its vast human diversity, consisting of more than 4500 anthropologically well-defined populations (castes, tribes and religious groups). Each population differs in terms of endogamy, language, culture, physical features, geographic and climatic position and genetic architecture. These factors contributed to India-specific genetic variations which may be responsible for various common diseases in India and its migratory populations. As a result, interpretations of the origins and affinities of Indian populations as well as health and disease conditions require complex and sophisticated genetic analysis. Evidence of ancient human dispersals and settlements is preserved in the genome of Indian inhabitants and this has been extensively analysed in conventional and genomic analyses.

Objective and methods: Using genomic analyses of STRs and Alu on a set of populations, this study estimates the level and extent of genetic variation and its implications.

Results: The results show that Indian populations have a higher level of unique genetic diversity which is structured by many social processes and geographical attributes of the country.

Conclusion: This overview highlights the need to study the anthropological structure and evolutionary history of Indian populations while designing genomic and epigenomic investigations.     

Mirandese language and genetic differentiation in Iberia: a study using X chromosome markers

Background: In the Iberian Peninsula, the Mirandese dialect, spoken in Miranda do Douro (Portugal) close to the north-eastern border with Spain, has attracted much attention.

Aim, subjects and methods: This study focuses on providing further insight into the connections forged between Miranda do Douro and regions in the nearby Province of Zamora. This is in order to better assess the extent to which such relations could have been detained by the current patterns of genetic diversity of the populations, whilst contributing to refining the knowledge on patterns of micro-differentiation within the Peninsula. The genetic characterization of both populations was performed through the analysis of X-chromosomal markers: X-STRs and X-indels.

Results and conclusion: The results showed that Miranda do Douro tended to present slightly lower levels of diversity in comparison to the other studied regions, which can be a discreet sign of isolation of that population over the years that might have led the way to the preservation of a language not spoken anywhere else in the country. The analysis of X-STRs particularly brought to light the presence of a subtle population sub-structure at the micro-geographical area encompassing the north-eastern border, which seems to portray the importance of the political border as a mechanism withholding gene flow between the two countries.     

Mutation update for the PORCN gene

Mutations in the PORCN gene were first identified in Goltz-Gorlin syndrome patients in 2007. Since then, several reports have been published describing a large variety of genetic defects resulting in the Goltz-Gorlin syndrome, and mutations or deletions were also reported in angioma serpiginosum, the pentalogy of Cantrell and Limb-Body Wall Complex. Here we present a review of the published mutations in the PORCN gene to date and report on seven new mutations together with the corresponding clinical data. Based on the review we have created a Web-based locus-specific database that lists all identified variants and allows the inclusion of future reports. The database is based on the Leiden Open (source) Variation Database (LOVD) software, and is accessible online at http://www.lovd.nl/porcn. At present, the database contains 106 variants, representing 68 different mutations, scattered along the whole coding sequence of the PORCN gene, and 12 large gene rearrangements, which brings up to 80 the number of unique mutations identified in Goltz-Gorlin syndrome patients.     

Hellenic National Mutation database: a prototype database for mutations leading to inherited disorders in the Hellenic population

The exponential discovery rate of new genomic alterations, leading to inherited disorders, as well as the need for comparative studies of different population's mutation frequencies necessitates recording their population-wide spectrum in online mutation databases. We report the construction of the Hellenic National Mutation database (http://www.goldenhelix.org/hellenic), a prototype database derived from a multicenter academic initiative, aiming to provide high quality and up-to-date information on the underlying genetic heterogeneity of inherited disorders found in the Hellenic population. Database records include informative summaries of the various genetic disorders studied in the Hellenic population, focused in particular on their incidence in Greece, a comprehensive reference list, and a well-structured query interface, which provides easy access to the list of the different mutations responsible for the inherited disorders in the Hellenic population. Also, extensive links to the respective Online Mendelian Inheritance in Man (OMIM) entries and, when available, to the locus-specific databases are provided, so that the user can retrieve the maximum amount of information from a single website. Furthermore, the Hellenic National Mutation database design allows easy data entry and curation. Creation of the Hellenic National Mutation database will significantly facilitate molecular diagnosis of inherited disorders in Greece and will motivate further investigation of yet unknown genetic diseases in the Hellenic population.     

Italian Rett database and biobank

Rett syndrome is the second most common cause of severe mental retardation in females, with an incidence of approximately 1 out of 10,000 live female births. In addition to the classic form, a number of Rett variants have been described. MECP2 gene mutations are responsible for about 90% of classic cases and for a lower percentage of variant cases. Recently, CDKL5 mutations have been identified in the early onset seizures variant and other atypical Rett patients. While the high percentage of MECP2 mutations in classic patients supports the hypothesis of a single disease gene, the low frequency of mutated variant cases suggests genetic heterogeneity. Since 1998, we have performed clinical evaluation and molecular analysis of a large number of Italian Rett patients. The Italian Rett Syndrome (RTT) database has been developed to share data and samples of our RTT collection with the scientific community (http://www.biobank.unisi.it). This is the first RTT database that has been connected with a biobank. It allows the user to immediately visualize the list of available RTT samples and, using the "Search by" tool, to rapidly select those with specific clinical and molecular features. By contacting bank curators, users can request the samples of interest for their studies. This database encourages collaboration projects with clinicians and researchers from around the world and provides important resources that will help to better define the pathogenic mechanisms underlying Rett syndrome.     

NordicDB: a Nordic pool and portal for genome-wide control data

A cost-efficient way to increase power in a genetic association study is to pool controls from different sources. The genotyping effort can then be directed to large case series. The Nordic Control database, NordicDB, has been set up as a unique resource in the Nordic area and the data are available for authorized users through the web portal (http://www.nordicdb.org). The current version of NordicDB pools together high-density genome-wide SNP information from ∼5000 controls originating from Finnish, Swedish and Danish studies and shows country-specific allele frequencies for SNP markers. The genetic homogeneity of the samples was investigated using multidimensional scaling (MDS) analysis and pairwise allele frequency differences between the studies. The plot of the first two MDS components showed excellent resemblance to the geographical placement of the samples, with a clear NW–SE gradient. We advise researchers to assess the impact of population structure when incorporating NordicDB controls in association studies. This harmonized Nordic database presents a unique genome-wide resource for future genetic association studies in the Nordic countries.     

Geographical and social influences on genetic diversity within the Egyptian population: analyses of Alu insertion polymorphisms

Background: The geographical location of Egypt at the crossroads of several major cultural areas between North Africa and the Middle East has contributed to its population history.

Aim: To analyse the genetic structure of the population living in two geographical parts of Egypt.

Subjects and methods: A sample of 112 Egyptians from the North African part of Egypt (Ismailia sample) and a sample of 52 Egyptians from the Asian part Sinai, have been analysed using 10 Alu insertion polymorphisms.

Results: The results of the present study showed a significant genetic difference between the Sinai and Ismailia samples. The latter showed an evident genetic affinity with North African populations; whereas the Sinai sample was found to be genetically closer to the Middle East populations. The Sinai sample showed a low average heterozygosity, unlike that found in the Ismailia sample.

Conclusion: This study provides new insights into the genetic structure of the Egyptian population living in a land bridge between Africa and Asia. Results suggest a genetic discontinuity between the Sinai population and that of the North African part of Egypt. This discontinuity would have been maintained thanks to geo-climatic and social factors.     

An investigation of the genetic diversity of the Kerkennah islands and Mahdia (Tunisia) using biparental markers

Background: Kerkennah is one of the main inhabited islands of Tunisia. The origin of the population of Kerkennah has not been established and no well-defined ethnic groups have been identified nor are genetic studies available. Mahdia, a Tunisian coastal city, has a long history dating back to ancient times.

Aim: To discover the genetic diversity of the two studied populations and analyse their relationships with other Mediterranean populations.

Subject and methods: Seven human-specific Alu insertion polymorphisms were typed in 99 individuals born in Kerkennah and Mahdia.

Results: A neighbour-joining tree and MDS multidimensional scaling analysis showed that these Tunisian populations are scattered amongst North African and Europeans populations, indicating their high genetic diversity and mosaic aspect. The important finding of this study was the proximity of Kerkennah to Moroccans. Hence, the actual gene pool of this insular population may descend from the ancestral population known to be of Moroccan origin. Concerning Mahdia, its closeness to Eurasian populations and some Tunisian groups reflected a high Eurasian genetic component for North African populations and confirmed their heterogeneity.

Conclusion: The strategic location of the two studied populations and their fortifications have allowed them to play a leading role in the Mediterranean basin.     

The androgen receptor gene mutations database: 2012 update

The current version of the androgen receptor gene (AR) mutations database is described. A major change to the database is that the nomenclature and numbering scheme now conforms to all Human Genome Variation Society norms. The total number of reported mutations has risen from 605 to 1,029 since 2004. The database now contains a number of mutations that are associated with prostate cancer (CaP) treatment regimens, while the number of AR mutations found in CaP tissues has more than doubled from 76 to 159. In addition, in a number of androgen insensitivity syndrome (AIS) and CaP cases, multiple mutations have been found within the same tissue samples. For the first time, we report on a disconnect within the AIS phenotype-genotype relationship among our own patient database, in that over 40% of our patients with a classic complete AIS or partial AIS phenotypes did not appear to have a mutation in their AR gene. The implications of this phenomenon on future locus-specific mutation database (LSDB) development are discussed, together with the concept that mutations can be associated with both loss- and gain-of-function, and the effect of multiple AR mutations within individuals. The database is available on the internet (http://androgendb.mcgill.ca), and a web-based LSDB with the variants using the Leiden Open Variation Database platform is available at http://www.lovd.nl/AR.     

Keeping it in the family: the case for considering late-onset combined immunodeficiency a subset of common variable immunodeficiency disorders

Introduction: Common variable immunodeficiency disorders (CVID) are the most frequent symptomatic primary immune defect in adults. Within the broad spectrum of CVID, a proportion of patients present with a predominant T cell phenotype associated with increased mortality. These patients are termed late-onset combined immunodeficiency (LOCID) and are currently separated from patients suffering from CVID.

Areas covered: We have recently codiscovered a new CVID-like disorder caused by mutations of the NFKB1 gene. Members of this non-consanguineous New Zealand kindred have a very diverse spectrum of phenotypes in spite of carrying the identical mutation. The proband appears to have the autoimmune variant. The proband’s recently deceased sister best matched LOCID while other family members are less severely affected, including one asymptomatic adult brother, who has an affected daughter. Differences in genetics was one of the main arguments for separating these disorders in the past.

Expert commentary: Given the recent advances in the understanding of the genetic basis of these conditions, we present the case that LOCID should now be considered a subset of CVID, rather than a separate disorder. At a clinical level, this distinction is less important but it is imperative these patients are carefully evaluated, the relevant complications are treated, and they are offered prognostic information.     

Next generation sequencing: an application in forensic sciences?

Context: Over the last few decades, advances in sequencing have improved greatly. One of the most important achievements of Next Generation Sequencing (NGS) is to produce millions of sequence reads in a short period of time, and to produce large sequences of DNA in fragments of any size. Libraries can be generated from whole genomes or any DNA or RNA region of interest without the need to know its sequence beforehand. This allows for looking for variations and facilitating genetic identification.

Objectives: A deep analysis of current NGS technologies and their application, especially in forensics, including a discussion about the pros and cons of these technologies in genetic identification.

Methods: A systematic literature search in PubMed, Science Direct and Scopus electronic databases was performed for the period of December 2012 to June 2015.

Results: In the forensic field, one of the main problems is the limited amount of sample available, as well as its degraded state. If the amount of DNA input required for preparing NGS libraries continues to decrease, nearly any sample could be sequenced; therefore, the maximum information from any biological remains could be obtained. Additionally, microbiome typification could be an interesting application to study for crime scene characterisation.

Conclusions: NGS technologies are going to be crucial for DNA human typing in cases like mass disasters or other events where forensic specimens and samples are compromised and degraded. With the use of NGS it will be possible to achieve the simultaneous analysis of the standard autosomal DNA (STRs and SNPs), mitochondrial DNA, and X and Y chromosomal markers.     

Interactive Exploration,Analysis, and Visualization of Complex Phenome–Genome Datasets with ASPIREdb

Identifying variants causal for complex genetic disorders is challenging. With the advent of whole‐exome and whole‐genome sequencing, computational tools are needed to explore and analyze the list of variants for further validation. Correlating genetic variants with subject phenotype is crucial for the interpretation of the disease‐causing mutations. Often such work is done by teams of researchers who need to share information and coordinate activities. To this end, we have developed a powerful, easy to use Web application, ASPIREdb, which allows researchers to search, organize, analyze, and visualize variants and phenotypes associated with a set of human subjects. Investigators can annotate variants using publicly available reference databases and build powerful queries to identify subjects or variants of interest. Functional information and phenotypic associations of these genes are made accessible as well. Burden analysis and additional reporting tools allow investigation of variant properties and phenotype characteristics. Projects can be shared, allowing researchers to work collaboratively to build queries and annotate the data. We demonstrate ASPIREdb's functionality using publicly available data sets, showing how the software can be used to accomplish goals that might otherwise require specialized bioinformatics expertise. ASPIREdb is available at http://aspiredb.chibi.ubc.ca .