Publicaties
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Reply to Letter by Tellier et al. Scientific refutation of ESHG statement on embryo selection KU Leuven
Updated Results of the COVID-19 in MS Global Data Sharing Initiative Anti-CD20 and Other Risk Factors Associated With COVID-19 Severity KU Leuven Universiteit Hasselt
BACKGROUND AND OBJECTIVES: Certain demographic and clinical characteristics, including the use of some disease-modifying therapies (DMTs), are associated with severe acute respiratory syndrome coronavirus 2 infection severity in people with multiple sclerosis (MS). Comprehensive exploration of these relationships in large international samples is needed. METHODS: Clinician-reported demographic/clinical data from 27 countries were aggregated into ...
The use of polygenic risk scores in pre-implantation genetic testing: an unproven, unethical practice KU Leuven
Polygenic risk score analyses on embryos (PGT-P) are being marketed by some private testing companies to parents using in vitro fertilisation as being useful in selecting the embryos that carry the least risk of disease in later life. It appears that at least one child has been born after such a procedure. But the utility of a PRS in this respect is severely limited, and to date, no clinical research has been performed to assess its diagnostic ...
Single-cell genome-wide concurrent haplotyping and copy-number profiling through genotyping-by-sequencing KU Leuven Universiteit Gent
Single-cell whole-genome haplotyping allows simultaneous detection of haplotypes associated with monogenic diseases, chromosome copy-numbering and subsequently, has revealed mosaicism in embryos and embryonic stem cells. Methods, such as karyomapping and haplarithmisis, were deployed as a generic and genome-wide approach for preimplantation genetic testing (PGT) and are replacing traditional PGT methods. While current methods primarily rely on ...
Expressive Graph Informer Networks KU Leuven
Splitting chemical structure data sets for federated privacy-preserving machine learning KU Leuven
With the increase in applications of machine learning methods in drug design and related fields, the challenge of designing sound test sets becomes more and more prominent. The goal of this challenge is to have a realistic split of chemical structures (compounds) between training, validation and test set such that the performance on the test set is meaningful to infer the performance in a prospective application. This challenge is by its own ...
From genotype to phenotype in Arabidopsis thaliana: in-silico genome interpretation predicts 288 phenotypes from sequencing data KU Leuven
In many cases, the unprecedented availability of data provided by high-throughput sequencing has shifted the bottleneck from a data availability issue to a data interpretation issue, thus delaying the promised breakthroughs in genetics and precision medicine, for what concerns Human genetics, and phenotype prediction to improve plant adaptation to climate change and resistance to bioagressors, for what concerns plant sciences. In this paper, we ...
Associations of Disease-Modifying Therapies With COVID-19 Severity in Multiple Sclerosis KU Leuven Universiteit Hasselt
BACKGROUND AND OBJECTIVES: People with multiple sclerosis (MS) are a vulnerable group for severe coronavirus disease 2019 (COVID-19), particularly those taking immunosuppressive disease-modifying therapies (DMTs). We examined the characteristics of COVID-19 severity in an international sample of people with MS. METHODS: Data from 12 data sources in 28 countries were aggregated (sources could include patients from 1-12 countries). Demographic ...