Biology subjects

Pajusalu, S.

Publications and source records attributed to Pajusalu, S..

6 recordsLinked to original sources

bioRxiv2025

Monte Carlo Simulation Analysis of Variant Burden Prompts Potential Oligogenic Interactions

BackgroundA large fraction of patients with suspected rare genetic disorders remain undiagnosed, suggesting that complex inheritance patterns, which are poorly detected by standard monogenic tests, may be a key factor. MethodsWe developed a computational framework that uses Monte Carlo simulations on summary-level allele counts to test for pathway-level burden enrichment. This approach was applied to a cohort of 639 neuromuscular disease (NMD) patients and 9,059 controls from the Tartu University Hospital (2015-2023) as proof of concept and compared with standard burden testing. ResultsWhile standard per-gene Z-tests failed to yield genome-wide significant results, our simulation framework identified a nominal enrichment of rare, moderate-impact variants within a predefined set of NMD-associated genes (Bonferroni-corrected empirical p = 0.02). Exploratory analysis of the most significantly burdened gene sets revealed frequent co-occurrence of CAPN3 with other critical NMD genes, including CLCN1, GFPT1, and MYOT. ConclusionOur findings suggest a potential oligogenic model in NMD, where variants in a hub gene like CAPN3 may interact with other rare variants to contribute to disease. This Monte Carlo simulation framework needs further validation but demonstrates that this framework may be a useful tool for hypothesis generation in complex genetic disorders. FundingEstonian Research Council grants PSG774 and PRG2040. Availabilitypublicly available under CC BY-NC-SA 4.0 licence at https://github.com/OligoGeneticDiseases/gen-toolbox

bioinformatics↗

bioRxiv2023

Human light meromyosin mutations linked to skeletal myopathies disrupt the coiled coil structure and myosin head sequestration

Myosin heavy chains encoded by MYH7 and MYH2 are among the most abundant proteins in human skeletal muscle. After decades of intense research using a wide range of biophysical and biological approaches, their functions have begun to be elucidated. Despite this, it remains unclear how mutations in these genes and resultant proteins disrupt myosin structure and function, inducing pathological states and skeletal myopathies termed myosinopathies. Here, we have analysed the effects of several common MYH7 and MYH2 mutations located in light meromyosin (LMM) using a broad range of approaches. We determined the secondary structure and filament forming capabilities of expressed and purified LMM constructs in vitro, performed in-silico modelling of LMM constructs, and evaluated the incorporation of eGFP-myosin heavy chain constructs into sarcomeres in cultured myotubes. Using muscle biopsies from patients, we applied Mant-ATP chase protocols to estimate the proportion of myosin heads that were super-relaxed, X-ray diffraction measurements to estimate myosin head order and myofibre mechanics to investigate contractile function. We found that human MYH7 and MYH2 LMM mutations commonly disrupt myosin coiled-coil structure and packing of filaments in vitro; decrease the myosin super-relaxed state in vivo and increase the basal myosin ATP consumption; but are not associated with myofibre contractile deficits. Altogether, these findings indicate that the structural remodelling resulting from LMM mutations induces a pathogenic state in which formation of shutdown heads is impaired, thus increasing myosin head ATP demand in the filaments, rather than affecting contractility. These key findings will help in the design of future therapies for myosinopathies.

physiology↗

bioRxiv2020

Bi-allelic variants in TSPOAP1, encoding the active zone protein RIMBP1, cause autosomal recessive dystonia

Dystonia is a debilitating hyperkinetic movement disorder, frequently transmitted as a monogenic trait. Here, we describe homozygous frameshift, nonsense and missense variants in TSPOAP1, encoding the active zone RIM-binding protein 1 (RIMBP1), as a novel genetic cause of autosomal recessive dystonia in seven subjects from three unrelated families. Subjects carrying loss-of-function variants presented with juvenile- onset progressive generalized dystonia, associated with intellectual disability and cerebellar atrophy. Conversely, subjects carrying a pathogenic missense variant (p.Gly1808Ser) presented with isolated adult-onset focal dystonia. In mice, complete loss of RIMBP1, known to reduce neurotransmission, led to motor abnormalities reminiscent of dystonia, decreased Purkinje cell dendritic arborization, and reduced numbers of cerebellar synapses. In vitro analysis of the p.Gly1808Ser variant showed larger spike-evoked calcium transients and enhanced neurotransmission, suggesting that RIMBP1-linked dystonia can be caused by either reduced or enhanced rates of spike-evoked release in relevant neural networks. Our findings establish a direct link between presynaptic RIMBP1 dysfunction and dystonia and highlight the critical role played by well-balanced neurotransmission in motor control and disease pathogenesis.

genetics↗

bioRxiv2019

Delineation of the First Human Mendelian Disorder of the DNA Demethylation Machinery: TET3 Deficiency

Germline pathogenic variants in chromatin-modifying enzymes are a common cause of pediatric developmental disorders. These enzymes catalyze reactions that regulate epigenetic inheritance via histone post-translational modifications and DNA methylation. Cytosine methylation of DNA (5mC) is the quintessential epigenetic mark, yet no human Mendelian disorder of DNA demethylation has been delineated. Here, we describe in detail the first Mendelian disorder caused by disruption of DNA demethylation. TET3 is a methylcytosine dioxygenase that initiates DNA demethylation during early zygote formation, embryogenesis, and neuronal differentiation and is intolerant to haploinsufficiency in mice and humans. Here we identify and characterize 11 cases of human TET3 deficiency in 8 families with the common phenotypic features of intellectual disability/global developmental delay, hypotonia, autistic traits, movement disorders, growth abnormalities, and facial dysmorphism. Mono-allelic frameshift and nonsense variants in TET3 occur throughout the coding region. Mono-allelic and bi-allelic missense variants localize to conserved residues with all but one occurring within the catalytic domain and most displaying hypomorphic function in a catalytic activity assay. TET3 deficiency shows substantial phenotypic overlap with other Mendelian disorders of the epigenetic machinery, including intellectual disability and growth abnormalities, underscoring shared disease mechanisms.

genetics↗

bioRxiv2018

Estimating prevalence for limb-girdle muscular dystrophy based on public sequencing databases

PurposeLimb Girdle Muscular Dystrophies (LGMD) are a genetically heterogeneous category of autosomal inherited muscle diseases. Many genes causing LGMD have been identified, and clinical trials are beginning for treatment of some genetic subtypes. However, even with the gene-level mechanisms known, it is still difficult to get a reliable and generalizable prevalence estimation for each subtype due to the limited amount of epidemiology data and the low incidence of LGMDs. MethodsTaking advantage of recently published whole exome and genome sequencing data from the general population, we used a Bayesian method to develop a reliable disease prevalence estimator. ResultsThis method was applied to nine recessive LGMD subtypes. The estimated disease prevalence calculated by this method were largely comparable to published estimates from epidemiological studies, however highlighted instances of possible under-diagnosis for LGMD2B and 2L. ConclusionThe increasing size of aggregated population variant databases will allow for robust and reproducible prevalence estimates of recessive disease, which is critical for the strategic design and prioritization of clinical trials.

epidemiology↗

bioRxiv2018

Identifying long indels in exome sequencing data of patients with intellectual disability

Exome sequencing is a powerful tool for detecting both single and multiple nucleotide variation genome wide. However long indels, in the size range 20 - 200bp, remain difficult to accurately detect. By assessing a set of common exonic long indels, we estimate the sensitivity of long indel detection in exome sequencing data to be 92%. To clarify the role of pathogenic long indels in patients with intellectual disability (ID), we analysed exome sequencing data from 820 patients using two variant callers, Pindel and Platypus. We identified three indels explaining the patients clinical phenotype by disrupting the UBE3A, PGAP3 and MECP2 genes. Comparison of different tools demonstrated the importance of both correct genotyping and annotation variants. In conclusion, specialized long indel detection can improve diagnostic yield in ID patients.

genomics↗