HbVar (http://globin.bx.psu.edu/hbvar) is one of the oldest and most appreciated locus-specific databases launched in 2001 by a multi-center academic effort to provide timely information on the genomic alterations leading to hemoglobin variants and all types of thalassemia and hemoglobinopathies. Database records include extensive phenotypic descriptions, biochemical and hematological effects, associated pathology and ethnic occurrence, accompanied by mutation frequencies and references. Here, we report updates to >600 HbVar entries, inclusion of population-specific data for 28 populations and 27 ethnic groups for α-, and β-thalassemias and additional querying options in the HbVar query page. HbVar content was also inter-connected with two other established genetic databases, namely FINDbase (http://www.findbase.org) and Leiden Open-Access Variation database (http://www.lovd.nl), which allows comparative data querying and analysis. HbVar data content has contributed to the realization of two collaborative projects to identify genomic variants that lie on different globin paralogs. Most importantly, HbVar data content has contributed to demonstrate the microattribution concept in practice. These updates significantly enriched the database content and querying potential, enhanced the database profile and data quality and broadened the inter-relation of HbVar with other databases, which should increase the already high impact of this resource to the globin and genetic database community.
We developed a series of interrelated locus-specific databases to store all published and unpublished genetic variation related to these disorders, and then implemented microattribution to encourage submission of unpublished observations of genetic variation to these public repositories 1. A total of 1,941 unique genetic variants in 37 genes, encoding globins (HBA2, HBA1, HBG2, HBG1, HBD, HBB) and other erythroid proteins (ALOX5AP, AQP9, ARG2, ASS1, ATRX, BCL11A, CNTNAP2, CSNK2A1, EPAS1, ERCC2, FLT1, GATA1, GPM6B, HAO2, HBS1L, KDR, KL, KLF1, MAP2K1, MAP3K5, MAP3K7, MYB, NOS1, NOS2, NOS3, NOX3, NUP133, PDE7B, SMAD3, SMAD6, and TOX) are currently documented in these databases with reciprocal attribution of microcitations to data contributors. Our project provides the first example of implementing microattribution to incentivise submission of all known genetic variation in a defined system. It has demonstrably increased the reporting of human variants and now provides a comprehensive online resource for systematically describing human genetic variation in the globin genes and other genes contributing to hemoglobinopathies and thalassemias. The large repository of previously reported data, together with more recent data, acquired by microattribution, demonstrates how the comprehensive documentation of human variation will provide key insights into normal biological processes and how these are perturbed in human genetic disease. Using the microattribution process set out here, datasets which took decades to accumulate for the globin genes could be assembled rapidly for other genes and disease systems. The principles established here for the globin gene system will serve as a model for other systems and the analysis of other common and/or complex human genetic diseases.
IntroductionAll homozygous patients with sickle-cell disease (SCD) carry the same genetic defect in the -globin genes. However, the clinical presentation and overall severity of their disease vary greatly, from milder forms that can go undetected for decades to extremely severe forms with multiorgan damage and early mortality. Identification of risk factor(s) and laboratory parameters that might be predictive of SCD severity or complications has important implications not only for understanding the pathophysiology of the disease but also for clinical management.A distinguishing characteristic of SCD is erythrocyte dehydration, because of K ϩ efflux from the red blood cell (RBC) and consequently decreased intracellular water content and increased mean corpuscular hemoglobin concentration. 1,2 Eaton and Hofrichter reported that the rate of the initial polymerization phase depends on the 20th-40th power of hemoglobin S (HbS) concentration. 3 HbS polymerization and sickling rates can be substantially reduced with relatively small diminutions of the intracellular HbS concentration. [3][4][5] Notably, in dense RBCs (DRBCs), defined as having a density exceeding 1.120, the intracellular total Hb concentration is increased from the normal (ϳ 33 g/dL) to 40-50 g/ dL. 6 DRBCs exhibit increased rigidity and decreased stability and include a variable fraction of irreversibly sickled cells. 7,8 The DRBC fraction varies within most patients with SCD with wide interpatient variations. 6,9 However, in earlier reports, no correlations could be established between DRBCs and clinical SCD severity. Most of those published studies were underpowered to detect this kind of interaction, which requires large numbers of well-characterized patients, and yielded contradictory findings. 10,11 Moreover DRBCs have never been studied for their potential association with chronic organ damage, which is increasingly being observed today because of the recent improvements in life expectancy.Similarly, the lack of precise clinical correlates for the percentage of DRBCs (% DRBCs) has not allowed assessing the potential additional indications for hydroxycarbamide (HC; hydroxyurea), which is currently indicated for the prevention of vaso-occlusive crises (VOCs) or acute chest syndrome (ACS).Herein, we compared data on RBC density with clinical and hematologic, biochemical, and genetic parameters in a large cohort of homozygous adult patients with SCD with the goal of identifying association with phenotypes and parameters indicative of severity. This population is unique for representing African immigrants with little white admixture and little admixture of haplotypes, contrary to what is seen in American patients.We also studied the effect of hydroxycarbamide on the % DRBCs. Methods PatientsAll patients with SS SCD regularly followed in our Center for Sickle Cell Disease at the Hopital Henri Mondor (Creteil, France), for whom a RBC For personal use only. on May 9, 2018. by guest www.bloodjournal.org From density measurement was available before hydro...
Uniparental disomy (UPD) for several human chromosomes is associated with clinical abnormalities. We report the case of a 2-year-old boy with severe intrauterine and post-natal growth retardation (IUGR/PNGR) and highly variable sweat chloride concentrations. The patient was identified as heterozygous for the F508del mutation of the CFTR (cystic fibrosis transmembrane conductance regulator) gene. Unexpectedly, the signal corresponding to the maternally inherited F508del allele appeared much more intense than the paternally derived wild allele. Molecular analysis including polymorphic marker studies, microsatellites and single-nucleotide polymorphisms subsequently showed that the boy was a carrier of a de novo mosaic maternal isodisomy of a chromosome 7 segment while there was a biparental inheritance of the rest of the chromosome. This is the first report of a mosaic partial UPD7. The matUPD7 segment at 7q21-qter extends for 72.7 Mb. The karyotype (550 bands) of our patient was normal, and fluorescence in situ hybridization with probes mapping around the CFTR gene allowed us to rule out a partial duplication. The detection of this chromosomal rearrangement confirms the hypothesis that the 7q31-qter segment is a candidate for the localization of human imprinted genes involved in the control of IUGR and PNGR. It also emphasizes the importance of searching for UPD7 in severe, isolated and unexplained IUGR and PNGR.
Objective/Method 1p36 deletion syndrome is considered to be the most common deletion after 22q11.2 deletion. It is characterized by specific facial features, developmental delay, and organ defects. The primary objective of the present multicenter study was to survey all the cases of 1p36 deletion diagnosed prenatally by French cytogenetics laboratories using a chromosomal microarray. We then compared these new cases with the literature data. Results Ten new cases were reported. On average, the 1p36 deletion was diagnosed at 19 weeks of gestation. The size of the deletion ranged from 1.6 to 16 Mb. The 1p36 deletion was the only chromosomal abnormality in eight cases and was associated with a complex chromosome 1 rearrangement in the two remaining cases. The invasive diagnostic procedure had always been prompted by abnormal ultrasound findings: elevated nuchal translucency, structural brain abnormality, retrognathia, or a cardiac defect. Multiple anomalies were present in all cases. Discussion We conclude that 1p36 deletion is not associated with any specific prenatal signs. We suggest that a prenatal observation of ventriculomegaly, congenital heart defect, or facial dysmorphism should prompt the clinician to consider a diagnosis of 1p36 deletion syndrome.
The human α-globin genes are paralogues, sharing a high degree of DNA sequence similarity and producing an identical α-globin chain. Over half of the α-globin structural variants reported to date are only characterized at the amino acid level. It is likely that a fraction of these variants, with phenotypes differing from one observation to another, may be due to the same mutation but on a different α-globin gene. There have been very few previous examples of hemoglobin variants that can be found at both HBA1 and HBA2 genes. Here, we report the results of a systematic multicenter study in a large multiethnic population to identify such variants and to analyze their differences from a functional and evolutionary perspective. We identified 14 different Hb variants resulting from identical mutations on either one of the two human α-globin paralogue genes. We also showed that the average percentage of hemoglobin variants due to a HBA2 gene mutation (α2) is higher than the percentage of hemoglobin variants due to the same HBA1 gene mutation (α1) and that the α2/α1 ratio varied between variants. These α-globin chain variants have most likely occurred via recurrent mutations, gene conversion events, or both. Based on these data, we propose a nomenclature for hemoglobin variants that fall into this category.
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