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FOR 2841:  Beyond the Exome – Identifying, Analyzing, and Predicting the Disease Potential of Non-Coding DNA Variants

Subject Area Medicine
Biology
Computer Science, Systems and Electrical Engineering
Term from 2019 to 2024
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 400728090
 
Although whole-exome sequencing of rare genetic diseases is almost routine, only a maximum of 50% patients can be molecularly elucidated. Theoretically, whole genome sequencing (WGS) could close this gap. However, clinicians and researchers face numerous difficulties in interpreting non-coding genomic variants, as there are no universal rules on the function of the regulatory genome. In a group of leading specialists and researchers from the fields of medicine, neuropathology, bioinformatics, single cell and organoid biology, we focus on a central problem in modern human genetics: how can variants affecting structural and regulatory regions in the non-coding genome, for which there are no generalizable rules, be confidently interpreted as a possible cause of genetic disease? Our hypothesis is that interpretation of disease-causing noncoding variants is possible if the major genomic regions involved in the development and maintenance of diseased tissue are known. We recognize that this will require an atlas of genomic regions for each disease group. Therefore, we focus on three exemplary disease groups: congenital myopathies and hypothyroidism and on somatic mutations resulting from acute kidney injury. We are taking a multi-pronged approach: improving the processing and bioinformatic analysis of raw WGS data, improving the understanding of the impact of 3D genome structure on gene regulation, collecting widely scattered gene regulation information in a central database, and exploring novel genomic regulatory mechanisms. Epigenetic data collected include histone modifications, chromatin states and contacts, high-resolution transcription factor binding sites, regulatory networks, and the effects of genome variants on chromatin contacts, structure, and function. To model early human development, we use iPSC-derived 2D and organoid cultures. This allows us to model organ development in culture and track epigenetic modifications during organ development at the single cell level from the beginning. Our bioinformaticians are using the research unit results to develop free software that will interpret the changes in the non-coding genome. We hope to use this software to bring WGS closer to routine clinical application. Beyond the Exome has access to well-characterized patients (cohorts) with developmental disorders of the thyroid and muscle, in whom a diagnosis has not yet been made despite WES and in whom we now want to elucidate the causes.
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