Last updated:
ID:
36226
Start date:
23 December 2019
Project status:
Closed
Principal investigator:
Dr Marco Schmidt
Lead institution:
biotx.ai GmbH, Germany

biotx.ai has developed a novel genome analysis tool specifically designed for the identification of gene-gene-interactions. This may allow more insights from genetically complex diseases. We applied our method before to find genes causing Familial Hypercholesterolemia (FH). FH is a genetic disorder that leads to high blood cholesterol levels, eventually to heart attacks in young age and, from there, to a reduced life expectancy. FH is caused by not a single gene, but by several genes in a complex interaction. Our rationale with the UK Biobank data is to confirm our previous findings in a broader population. Finally, our aim is to provide a highly accurate genetic diagnostic that predicts FH patients so that existing therapy of cholesterol-lowering drugs can start earlier. Heart attacks in young age should be avoided so that patients’ life expectancy can be expanded.

Related publications

Author(s)
Grit Zahn, Hannes A. Baukmann, Jasmine Wu, Jens Jordan, Andreas L. Birkenfeld, Naomi Dirckx, Marco F. Schmidt
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Hannes A. Baukmann, Justin L. Cope, Colin Bannard, Alexander R.E.C. Schwinges, Margaretha R.J. Lamparter, Sarah Groves, Charles N.J. Ravarani, Borko Amulic, Joern E. Klinger,…
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iScience
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Haraldur Þorsteinsson, Hannes A. Baukmann, Hildur S. Sveinsdóttir, Dagmar Þ. Halldórsdóttir, Bartosz Grzymala, Courtney Hillman, Jude Rolfe-Tarrant, Matthew O. Parker, Justin L. Cope, Charles…
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