Methodology development and analysis strategies for family-based association studies on the basis of high-throughput sequence data and an application to three Alzheimers'disease data sets

• Applicant: Professor Dr. Peter Krawitz, since 5/2018
• Subject Area: Epidemiology and Medical Biometry/Statistics
• Term: from 2016 to 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 315041274

The demographic development in Germany as in other industrialized nations has led to a constant increase in the public health expenses for neurodegenerative diseases. As a consequence, research and drug development has intensified in this field over the last decades. Studies have shown that many neurodegenerative diseases and in particular Alzheimer's disease show a strong genetic background.Technological advances in SNP-Chip technologies enable nowadays the rather inexpensive sequencing of the whole human genome. These so called whole-genome sequencing data allow the identification of possible disease causative loci in the genome that could not be identified on the basis of genotype-data, which sequence only a certain share of genetic loci in the genome. Contrary to these developments is the methodological research for whole-genome sequence data rather sparse. The aim of this research project is the development of new methodology analyses strategies for family-based whole-genome sequencing data in collaboration with our Korean partners. Further it is planned to provide a software implementation for these newly developed methodologies and analyses strategies and to apply them to three whole-genome sequencing data sets for Alzheimer's disease

• DFG Programme: Research Grants
• International Connection: South Korea
• Partner Organisation: National Research Foundation of Korea, NRF
• Ehemalige Antragstellerin: Dr. Heide Fier, until 4/2018