Biology subjects

Popp, B.

Publications and source records attributed to Popp, B..

8 recordsLinked to original sources

bioRxiv2026

SysNDD: A Systematic Database for Neurodevelopmental Disorders

Neurodevelopmental disorders (NDDs) are clinically and genetically heterogeneous, and evidence linking additional genes to disease evolves rapidly. We developed SysNDD, an open-access, expert-curated resource that represents distinct gene-inheritance-disease associations as entities with standardized confidence, phenotype, and variant annotations. Each entity retains its curation history, so its evidence category can change as evidence accumulates. Currently, SysNDD contains 4,275 entities curated from 4,932 publications. Of these, 3,758 entities involving 3,271 genes describe NDDs; the remainder record non-NDD disorders, nearly all linked to NDD-associated genes, included for completeness. Regarding NDD evidence categories, 1,838 genes are Definitive, 179 Moderate, 1,248 Limited, and 6 Refuted. The entity model captures inheritance-specific disorders, including 220 genes with both autosomal dominant and autosomal recessive NDD associations. Comparison with seven other NDD gene resources showed complementary coverage, and evidence categories largely agreed with those of ClinGen, Gene2Phenotype, and PanelApp for shared gene-disease pairs. NDD genes formed distinct molecular modules, whereas associated disorders formed broad, overlapping phenotype groups that corresponded to those modules only selectively. SysNDD provides a continuously maintained, programmatically accessible framework for gene-disease evidence assessment, inheritance-aware interpretation, and systematic NDD research.

genetics↗

bioRxiv2026

MucOneUp: A Simulation Framework for MUC1-VNTR Variant Benchmarking

SummaryVariable number tandem repeats (VNTRs) in the MUC1 gene cause autosomal dominant tubulointerstitial kidney disease when disrupted by frameshift variants, but the GC-rich 60-bp repeat structure (20-125 copies) challenges variant detection. While tools like VNtyper enable MUC1 variant calling, no gold-standard benchmarking datasets exist for systematic performance evaluation. We present MucOneUp, a specialized simulation framework for generating MUC1-VNTR reference sequences with targeted variants and platform-specific sequencing reads (Illumina, Oxford Nanopore, PacBio). MucOneUp employs Markov chain-based repeat generation, supports diploid simulation with customizable variant placement, and includes additional analysis modules for SNaPshot assay simulation and exploratory frameshift analysis. We validate MucOneUp through a multi-variant, cross-platform benchmark of six tool-platform combinations using 13 distinct frameshift variants and investigate VNTR length effects on detection. Availability and implementationMucOneUp is accessible at no cost under the MIT License at https://github.com/berntpopp/MucOneUp and archived on Zenodo (DOI: 10.5281/zenodo.19740406). Contactbernt.popp@charite.de Supplementary informationSupplementary data are provided with this manuscript.

bioinformatics↗

bioRxiv2024

Contribution of Urea to Nitrite Production in Southern Ocean Waters with Contrasting Nitrifying Communities

We compared the contribution of ammonia and urea to nitrite production in >100 samples of Southern Ocean waters with abundant and diverse ammonia-oxidizing archaeal (AOA) communities. Ammonia (AO) and urea (UO) oxidation rates were distributed uniformly within a water mass across coastal and slope waters west of the Antarctic Peninsula; however, rates and AOA community composition displayed strong vertical gradients. Rates in most samples from Antarctic surface and slope water were at or below the limit of detection. Highest mean rates of both processes were in the Winter Water (WW, epipelagic, 21.2 and 1.6 nmol N L-1 d-1), and the Circumpolar Deep Water (CDW, mesopelagic, 7.9 and 2.5 nmol N L-1 d-1), for AO and UO, respectively. However, we also found that the response of AO and UO to substrate amendments varied by water mass. AO rates in WW samples increased by [~]200% with 44 vs 6 nM amendments, but decreased (down to 7%) in CDW samples. UO rates responded similarly, but to a lesser degree. This response suggests that even low NH4+ amendments may inhibit AO by mesopelagic Thaumarchaeota populations. AO and UO rates were not correlated, nor were they correlated with the abundance or ratios of abundance of marker genes, or with the concentrations of ammonium or urea. Our data suggest that while ammonium is the primary substrate, urea-N is responsible for a significant fraction ([~]25% of that from AO alone) of nitrite production in the Southern Ocean, comparable to its contribution at lower latitudes. IMPORTANCESouthern Ocean nitrification fuels denitrification in oxygen depleted zones at higher latitudes, one of the controls of N:P ratios in the global ocean. N2O, a powerful greenhouse gas, is by-product of nitrification. We contrast the contributions of ammonium and urea-N to nitrification in the Southern Ocean. Our work constrains rates and demonstrates that the contribution of urea-N to nitrite production in polar waters is comparable to that in temperate oceans. Correlations between activity and the abundance or ratios of Thaumarchaeota marker genes were weak, questioning their use as indicators of activity. We document differential responses of activity to substrate amendments by water mass: enhanced in epipelagic but inhibited in mesopelagic samples. We interpret this difference in the context of community composition and the production of reactive oxygen species. Our insights into environmental controls of nitrification are relevant to microbial ecologists studying Thaumarchaeota and to modeling the global nitrogen cycle.

microbiology↗

bioRxiv2022

aRgus: multilevel visualization of non-synonymous single nucleotide variants & advanced pathogenicity score modeling for genetic vulnerability assessment

The widespread use of high-throughput sequencing techniques is leading to a rapidly increasing number of disease-associated variants of unknown significance and candidate genes. Integration of knowledge concerning their genetic, protein as well as functional and conservational aspects is necessary for an exhaustive assessment of their relevance and for prioritization of further clinical and functional studies investigating their role in human disease. In order to collect the necessary information, a multitude of different databases has to be accessed and data extraction from the original sources commonly is not user-friendly and requires advanced bioinformatics skills. This leads to a decreased data accessibility for a relevant number of potential users such as clinicians, geneticist, and clinical researchers. Here, we present aRgus (https://argus.urz.uni-heidelberg.de/), a standalone webtool for simple extraction and intuitive visualization of multi-layered gene, protein, variant, and variant effect prediction data. aRgus provides interactive exploitation of these data within seconds for any known gene of the human genome. In contrast to existing online platforms for compilation of variant data, aRgus complements visualization of chromosomal exon-intron structure and protein domain annotation with ClinVar and gnomAD variant distributions as well as position-specific variant effect prediction score modeling. aRgus thereby enables timely assessment of protein regions vulnerable to variation with single amino acid resolution and provides numerous applications in variant and protein domain interpretation as well as in the design of in vitro experiments.

bioinformatics↗

bioRxiv2019

Panel Sequencing in Uterine Leiomyomas identifies Missense Mutations associated with immunohistochemical Fumarate Hydratase (FH)-Loss

ABSTRACTUterine leiomyomas (ULs) constitute a considerable health burden in the general female population. The fumarate hydratase (FH) deficient subtype is found in up to 1.6% and can occur in hereditary leiomyomatosis and renal cell carcinoma (HLRCC) syndrome.We sequenced 13 FH deficient ULs from a previous immunohistochemical screen using a targeted panel and identified biallelic FH variants in all. In eight, we found a FH point mutation (two truncating, six missense) with evidence for loss of the second allele. Variant allele-frequencies in all cases with a point mutation pointed to somatic variants. Spatial clustering of the identified missense variants in the lyase domain indicated altered fumarase oligomerization with subsequent degradation as explanation for the observed FH deficiency. Biallelic FH deletions in five tumors confirm the importance of copy number loss as mutational mechanism.By curating all pathogenic FH variants and calculating their population frequency, we estimate a carrier frequency of up to 1/2,563. Comparing with the prevalence of FH deficient ULs, we conclude that most are sporadic and estimate 2.7 - 13.9% of females with an FH deficient UL to carry a germline FH variant.Further prospective tumor/normal sequencing studies are needed to develop a reliable screening strategy for HLRCC in women with ULs.Competing Interest StatementThe authors have declared no competing interest.View Full Text

pathology↗

bioRxiv2019

Prenatal diagnosis of HNF1B-associated renal cysts: Need to differentiate intragenic variants from 17q12 microdeletion syndrome?

ObjectiveLarge deletions of chromosome 17q12 (17q12DS) or intragenic variants in HNF1B are associated with variable developmental, endocrine and renal anomalies, often already noted prenatally as hyperechogenic/cystic kidneys. Here, we describe pre- and postnatal phenotypes of seven individuals with HNF1B aberrations and compare their clinical and genetic data to previous studies.\n\nMethodsPrenatal sequencing and postnatal chromosomal microarray analysis was performed in seven individuals with renal and/or neurodevelopmental phenotypes. We evaluated HNF1B-related clinical features from 82 studies and reclassified 192 reported intragenic HNF1B variants.\n\nResultsIn a prenatal case, we identified a novel in-frame deletion p.(Gly239del) within the HNF1B DNA binding domain, a mutational hotspot as demonstrated by spatial clustering analysis and high computational prediction scores. The six postnatally diagnosed individuals harbored 17q12 microdeletions of varying size. Literature screening revealed highly variable reporting of HNF1B-associated clinical traits. Overall, developmental delay was more frequent in 17q12DS carriers, although both mutation groups showed a high phenotypic heterogeneity. The reclassification of all previously reported intragenic HNF1B variants provided an up-to-date overview of the mutational spectrum.\n\nConclusionsWe highlight the value of prenatal HNF1B screening in renal developmental diseases. Standardized clinical reporting and systematic classification of HNF1B variants is necessary for a more accurate risk quantification of pre- and postnatal clinical features, improving genetic counseling and prenatal decision-making.

genetics↗

bioRxiv2018

The mutational and phenotypic spectrum of TUBA1A-associated tubulinopathy

BackgroundThe TUBA1A-associated tubulinopathy is clinically heterogeneous with brain malformations, microcephaly, developmental delay and epilepsy being the main clinical features. It is an autosomal dominant disorder mostly caused by de novo variants in TUBA1A.\n\nResultsIn three individuals with developmental delay we identified heterozygous de novo missense variants in TUBA1A using exome sequencing. While the c.1307G>A, p.(Gly436Asp) variant was novel, the two variants c.518C>T, p.(Pro173Leu) and c.641G>A, p.(Arg214His) were previously described. We compared the variable phenotype observed in these individuals with a carefully conducted review of the current literature and identified 166 individuals, 146 born and 20 fetuses with a TUBA1A variant. In 107 cases with available clinical information we standardized the reported phenotypes according to the Human Phenotype Ontology. The most commonly reported features were developmental delay (98%), anomalies of the corpus callosum (96%), microcephaly (76%) and lissencephaly (70%), although reporting was incomplete in the different studies. We identified a total of 121 distinct variants, including 15 recurrent ones. Missense variants cluster in the C-terminal region around the most commonly affected amino acid position Arg402 (13.3%). In a three-dimensional protein modelling, 38.6% of all disease causing variants including those in the C-terminal region are predicted to affect binding of microtubule-associated proteins or motor proteins. Genotype-phenotype analysis for recurrent variants showed an overrepresentation of certain clinical features. However, individuals with these variants are often reported in the same publication.\n\nConclusionsWith 166 individuals, we present the most comprehensive phenotypic and genotypic standardized synopsis for clinical interpretation of TUBA1A variants. Despite this considerable number, a detailed genotype-phenotype characterization is limited by large inter-study variability in reporting.

genetics↗

bioRxiv2018

Need for high-resolution Genetic Analysis in iPSC: Results and Lessons from the ForIPS Consortium

Genetic integrity of induced pluripotent stem cells (iPSCs) is essential for their validity as disease models and for potential therapeutic use. We describe the comprehensive analysis in the ForIPS consortium: an iPSC collection from donors with neurological diseases and healthy controls. Characterization included pluripotency confirmation, fingerprinting, conventional and molecular karyotyping in all lines. In the majority, somatic copy number variants (CNVs) were identified. A subset with available matched donor DNA was selected for comparative exome sequencing. We identified single nucleotide variants (SNVs) at different allelic frequencies in each clone with high variability in mutational load. Low frequencies of variants in parental fibroblasts highlight the importance of germline samples. Somatic variant number was independent from reprogramming, cell type and passage. Comparison with disease genes and prediction scores suggest biological relevance for some variants. We show that high-throughput sequencing has value beyond SNV detection and the requirement to individually evaluate each clone.

genomics↗