BGMUT: NCBI dbRBC database of allelic variations of genes encoding antigens of blood group systems.

Analogous to human leukocyte antigens, blood group antigens are surface markers on the erythrocyte cell membrane whose structures differ among individuals and which can be serologically identified. The Blood Group Antigen Gene Mutation Database (BGMUT) is an online repository of allelic variations in genes that determine the antigens of various human blood group systems. The database is manually curated with allelic information collated from scientific literature and from direct submissions from research laboratories. Currently, the database documents sequence variations of a total of 1251 alleles of all 40 gene loci that together are known to affect antigens of 30 human blood group systems. When available, information on the geographic or ethnic prevalence of an allele is also provided. The BGMUT website also has general information on the human blood group systems and the genes responsible for them. BGMUT is a part of the dbRBC resource of the National Center for Biotechnology Information, USA, and is available online at http://www.ncbi.nlm.nih.gov/projects/gv/rbc/xslcgi.fcgi?cmd=bgmut. The database should be of use to members of the transfusion medicine community, those interested in studies of genetic variation and related topics such as human migrations, and students as well as members of the general public.

BGMUT Database of Allelic Variants of Genes Encoding Human Blood Group Antigens.

The Blood group antigen Gene MUTation (BGMUT) database documents variations in genes of human blood group systems. In March 2014, the database, accessible at www.ncbi.nlm.nih.gov/gv/mhc/xslcgi.cgi?cmd=bgmut, listed 1,545 alleles of 44 genes of 34 blood group systems. Besides allelic information, the BGMUT resource also presents comprehensive and current information on blood group systems. This review describes the database and notes its utility for the transfusion medicine and human genetics communities.

Patterns of human genetic variation inferred from comparative analysis of allelic mutations in blood group antigen genes.

Comparative analysis of allelic variation of a gene sheds light on the pattern and process of its diversification at the population level. Gene families for which a large number of allelic forms have been verified by sequencing provide a useful resource for such studies. In this regard, human blood group-encoding genes are unique in that differences of cell surface traits among individuals and populations can be readily detected by serological screening, and correlation between the variant cell surface phenotype and the genotype is, in most cases, unequivocal. Here, we perform a comprehensive analysis of allelic forms, compiled in the Blood Group Antigen Gene Mutation database, of ABO, RHD/CE, GYPA/B/E and FUT1/2 gene families that encode the ABO, RH, MNS, and H/h blood group system antigens, respectively. These genes are excellent illustrative examples showing distinct mutational patterns among the alleles, and leading to speculation on how their origin may have been driven by recurrent but different molecular mechanisms. We illustrate how alignment of alleles of a gene may provide an additional insight into the DNA variation process and its pathways, and how this approach may serve to catalog alleles of a gene, simplifying the task and content of mutation databases.

PhenCode: connecting ENCODE data with mutations and phenotype.

PhenCode (Phenotypes for ENCODE; http://www.bx.psu.edu/phencode) is a collaborative, exploratory project to help understand phenotypes of human mutations in the context of sequence and functional data from genome projects. Currently, it connects human phenotype and clinical data in various locus-specific databases (LSDBs) with data on genome sequences, evolutionary history, and function from the ENCODE project and other resources in the UCSC Genome Browser. Initially, we focused on a few selected LSDBs covering genes encoding alpha- and beta-globins (HBA, HBB), phenylalanine hydroxylase (PAH), blood group antigens (various genes), androgen receptor (AR), cystic fibrosis transmembrane conductance regulator (CFTR), and Bruton's tyrosine kinase (BTK), but we plan to include additional loci of clinical importance, ultimately genomewide. We have also imported variant data and associated OMIM links from Swiss-Prot. Users can find interesting mutations in the UCSC Genome Browser (in a new Locus Variants track) and follow links back to the LSDBs for more detailed information. Alternatively, they can start with queries on mutations or phenotypes at an LSDB and then display the results at the Genome Browser to view complementary information such as functional data (e.g., chromatin modifications and protein binding from the ENCODE consortium), evolutionary constraint, regulatory potential, and/or any other tracks they choose. We present several examples illustrating the power of these connections for exploring phenotypes associated with functional elements, and for identifying genomic data that could help to explain clinical phenotypes.

Allelic genes of blood group antigens: a source of human mutations and cSNPs documented in the Blood Group Antigen Gene Mutation Database.

In this report, we analyze data assembled in the Blood Group Antigen Gene Mutation Database (www.bioc.aecom.yu.edu/bgmut/index.htm), which describes sequence information on human genes associated with expression of the various serologically-determined blood group phenotypes. The database documents 38 genetic loci and a total of 624 alleles that together encode a large repertoire of proteins and constitute 27 serologically-defined blood group systems. Analysis of sequence variation patterns across alleles of a number of genes is focused on their molecular profiles, including mutational sites and recurrence, patterns of gene rearrangements in duplicated gene families, correlation of predicted location of epitopes in extracellular loops with sites of alterations, and effects of mutations on protein expression. That information, and the relative ease of identifying individuals bearing variant alleles, has led to the proposal that genes encoding blood group antigens are an important and unique resource for studies of human DNA variation. Another focus is on mutations in regions that encode the antigenic epitopes and on their occurrence in world populations. These mutations may be viewed as coding single nucleotide polymorphisms (cSNPs). We propose that one group of these cSNPs, which are known to occur with significant frequency in all world populations, could serve as well-validated genetic markers. In addition, specific mutations in a number of "low incidence" and rare alleles could serve as cSNPs specific for a given population. The allelic frequencies of these mutations and knowledge of their world-wide occurrence add a valuable dataset to the existing cSNP pools documented in SNP databases.

Mutation databases and other online sites as a resource for transfusion medicine: history and attributes.

Recent advances in molecular biology and technology have provided evidence, at a molecular level, for long-known observations that the human genome is not unique but is characterized by individual sequence variation. At the present time, documentation of genetic variation occurring in a large number of genes is increasing exponentially. The characterization of alleles that encode a variety of blood group antigens has been particularly fruitful for transfusion medicine. Phenotypic variation, as identified by the serologic study of blood group variants, is required to identify the presence of a variant allele. Many of the other alleles currently recorded have been selected and identified on the basis of inherited disease traits. New approaches document single nucleotide polymorphisms that occur throughout the genome and best show how the DNA sequence varies in the human population. The primary data dealing with variant alleles or more general genomic variation are scattered throughout the scientific literature and only within the last few years has information begun to be organized into databases. This article provides guidance on how to access those databases online as a source of information about genetic variation for purposes of molecular, clinical, and diagnostic medicine, research, and teaching. The attributes of the sites are described. A more detailed view of the database dealing specifically with alleles of genes encoding the blood group antigens includes a brief preliminary analysis of the molecular basis for observed polymorphisms. Other online sites that may be particularly useful to the transfusion medicine readership as well as a brief historical account are also presented.