Publications by authors named "Roth F"

Innovative and easy-to-implement strategies are needed to improve the pathogenicity assessment of rare germline missense variants. Somatic cancer driver mutations identified through large-scale tumor sequencing studies often impact genes that are also associated with rare Mendelian disorders. The use of cancer mutation data to aid in the interpretation of germline missense variants, regardless of whether the gene is associated with a hereditary cancer predisposition syndrome or a non-cancer-related developmental disorder, has not been systematically assessed.

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Computational variant effect predictors (VEPs) are providing increasingly strong evidence to classify the pathogenicity of missense variants. Precision vs. recall analysis is useful in evaluating VEP performance, especially when adjusted for imbalanced test sets.

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The tumor suppressor CHEK2 encodes the serine/threonine protein kinase CHK2 which, upon DNA damage, is important for pausing the cell cycle, initiating DNA repair, and inducing apoptosis. CHK2 phosphorylation of the tumor suppressor BRCA1 is also important for mitotic spindle assembly and chromosomal stability. Consistent with its cell-cycle checkpoint role, both germline and somatic variants in CHEK2 have been linked to breast and other cancers.

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Most qualitative health research is subject to ethics review and approval by a research ethics committee (REC). While many studies have identified the challenges that current ethics review practices pose to qualitative health research, there is currently a call to move the research focus from the shortcomings of ethics review practices to the possibilities for improvement. The aim of this grounded theory study was to identify possibilities for improvement of current ethics review practices which can count on endorsement from qualitative health researchers and members of REC alike.

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Article Synopsis
  • Human genetics has evolved significantly over the last 30 years, shifting focus from rare Mendelian diseases to the intricate genetic factors influencing common diseases.
  • Researchers highlight the critical role of genetic context—including variants, gene regulation, and environmental interactions—in understanding how these genetic variants impact health.
  • The article calls for unified methods to analyze the complex interplay of molecular and environmental factors, proposing that combining cellular, animal, and epidemiological data can enhance our interpretation of genetic variants and improve disease treatment strategies.
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Unlabelled: uses over 300 translocated effector proteins to rewire host cells during infection and create a replicative niche for intracellular growth. To date, several studies have identified effectors that indirectly and directly regulate the activity of other effectors, providing an additional layer of regulatory complexity. Among these are "metaeffectors," a special class of effectors that regulate the activity of other effectors once inside the host.

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Group 2 Innate Lymphoid Cells (ILC2) are critical drivers of both innate and adaptive type 2 immune responses, known to orchestrate processes involved in tissue restoration and wound healing. In addition, ILC2 have been implicated in chronic inflammatory barrier disorders in type 2 immunopathologies such as allergic rhinitis and asthma. ILC2 in the context of allergen-driven airway inflammation have recently been shown to influence local and systemic metabolism, as well as being rich in lipid-storing organelles called lipid droplets.

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  • A new type of current collector for Li-ion batteries, made from woven ultra-light glass threads, is introduced, saving over 90% of the required metals like copper and aluminum.
  • The design leads to significant weight reduction (over 80%) and improved battery performance, with increases in anode and cathode capacity, enhancing specific energy by 25%.
  • The fabrication process is fully demonstrated in coin cell format, showing impressive cycling durability (300 cycles, 93% capacity retention) and high efficiency (>99.9%), paving the way for innovative battery designs.
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Malate is an important dicarboxylic acid produced from fumarate in the tricarboxylic acid cycle. Deficiencies of fumarate hydrolase (FH) and malate dehydrogenase (MDH), responsible for malate formation and metabolism, respectively, are known to cause recessive forms of neurodevelopmental disorders (NDDs). The malic enzyme isoforms, malic enzyme 1 (ME1) and 2 (ME2), are required for the conversion of malate to pyruvate.

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Article Synopsis
  • Widespread sequencing has identified thousands of missense variants linked to diseases, creating a challenge in assessing their functional impact at scale.
  • A new high-throughput imaging platform was developed to evaluate the effects of 3,448 missense variants across over 1,000 genes, revealing that mislocalization of proteins is a frequent outcome.
  • Mislocalization affects about one-sixth of pathogenic variants and is mainly caused by issues with protein stability and membrane insertion, which can influence disease severity and help interpret uncertain variants.
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  • The text discusses a severe infection caused by a bacteria usually found in the mouths of cats and dogs, which can lead to sepsis, particularly in immunocompromised patients, with a high mortality rate of 10% to 30%.
  • An 81-year-old woman developed sepsis after a dog bite and presented with serious symptoms, including thrombopenia and schistocytes, leading to her admission to the intensive care unit.
  • Despite her recovery through plasmapheresis, antibiotics, and dialysis, she required amputation of her affected fingertip and was diagnosed with a rare case of mitral valve endocarditis, which was effectively treated with antibiotics.
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Background: Long QT syndrome is a lethal arrhythmia syndrome, frequently caused by rare loss-of-function variants in the potassium channel encoded by . Variant classification is difficult, often because of lack of functional data. Moreover, variant-based risk stratification is also complicated by heterogenous clinical data and incomplete penetrance.

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Article Synopsis
  • - This paper evaluates predictions for the "HMBS" challenge from the 2021 Critical Assessment of Genome Interpretation, focusing on how well participants predicted the effects of missense variants in the HMBS gene on yeast growth.
  • - Despite using various algorithms, most predictors showed similar performance with correlation coefficients around 0.3, though some top predictors had a slightly better median correlation of ≥ 0.34 with experimental results.
  • - Predictors were moderately effective in distinguishing between harmful and harmless variants, but overall accuracy remained low compared to experimental controls, highlighting a need for significant improvements in prediction methods, especially for variants in specific regions like the insertion loop.
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Background: Computational variant effect predictors offer a scalable and increasingly reliable means of interpreting human genetic variation, but concerns of circularity and bias have limited previous methods for evaluating and comparing predictors. Population-level cohorts of genotyped and phenotyped participants that have not been used in predictor training can facilitate an unbiased benchmarking of available methods. Using a curated set of human gene-trait associations with a reported rare-variant burden association, we evaluate the correlations of 24 computational variant effect predictors with associated human traits in the UK Biobank and All of Us cohorts.

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Maximizing product quality attributes by optimizing process parameters and performance attributes is a crucial aspect of bioprocess chromatography process design. Process parameters include but are not limited to bed height, eluate cut points, and elution pH. An under-characterized chromatography process parameter for protein A chromatography is process temperature.

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Coastal areas are an important source of methane (CH). However, the exact origins of CH in the surface waters of coastal regions, which in turn drive sea-air emissions, remain uncertain. To gain a comprehensive understanding of the current and future climate change feedbacks, it is crucial to identify these CH sources and processes that regulate its formation and oxidation.

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Coastal environments are a major source of marine methane in the atmosphere. Eutrophication and deoxygenation have the potential to amplify the coastal methane emissions. Here, we investigate methane dynamics in the eutrophic Stockholm Archipelago.

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Computational methods for assessing the likely impacts of mutations, known as variant effect predictors (VEPs), are widely used in the assessment and interpretation of human genetic variation, as well as in other applications like protein engineering. Many different VEPs have been released to date, and there is tremendous variability in their underlying algorithms and outputs, and in the ways in which the methodologies and predictions are shared. This leads to considerable challenges for end users in knowing which VEPs to use and how to use them.

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Multiplexed assays of variant effect (MAVEs) have emerged as a powerful approach for interrogating thousands of genetic variants in a single experiment. The flexibility and widespread adoption of these techniques across diverse disciplines have led to a heterogeneous mix of data formats and descriptions, which complicates the downstream use of the resulting datasets. To address these issues and promote reproducibility and reuse of MAVE data, we define a set of minimum information standards for MAVE data and metadata and outline a controlled vocabulary aligned with established biomedical ontologies for describing these experimental designs.

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A surface photovoltage (SPV) is observed whenever a doped semiconductor with non-negligible band bending is illuminated by light and charge carriers are excited across the band gap. The sign of the SPV depends on the nature of the doping, the amplitude of the SPV increases with the fluence of the light illumination up to a saturation value, which is determined by the doping concentration. We have investigated Si(100) samples with well-characterized doping levels over a wide range of illumination fluences.

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Background: Amino acid substitutions can perturb protein activity in multiple ways. Understanding their mechanistic basis may pinpoint how residues contribute to protein function. Here, we characterize the mechanisms underlying variant effects in human glucokinase (GCK) variants, building on our previous comprehensive study on GCK variant activity.

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An essential component of the coral reef animal diversity is the species hidden in crevices within the reef matrix, referred to as the cryptobiome. These organisms play an important role in nutrient cycling and provide an abundant food source for higher trophic levels, yet they have been largely overlooked. Here, we analyzed the distribution patterns of the mobile cryptobiome (>2000 μm) along the latitudinal gradient of the Saudi Arabian coast of the Red Sea.

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Motivation: Long-read sequencing technologies, an attractive solution for many applications, often suffer from higher error rates. Alignment of multiple reads can improve base-calling accuracy, but some applications, e.g.

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Introduction: Surgery on the brainstem level is associated with a high-risk of postoperative morbidity. Recently, we have introduced the combination of navigated transcranial magnetic stimulation (nTMS) and diffusion tensor imaging (DTI) tractography to define functionally relevant motor fibers tracts on the brainstem level to support operative planning and risk stratification in brainstem cavernomas.

Research Question: Evaluate this method and assess it's clinical impact for the surgery of brainstem gliomas.

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Clinical classification of genomic variants identified on sequencing is often challenging, with many variants classified as Variants of Uncertain Significance (VUS) on account of insufficient evidence. Advances in sequencing and gene synthesis has made feasible multiplexed assays of variant effect (MAVEs), which quantify the functional impact of many thousands of genomic variants in a single experiment. These assays and the functional evidence they generate have the potential to empower more accurate clinical variant classification.

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