Publications by authors named "J S Mbatchou"
Gene-based burden tests are a popular and powerful approach for analysis of exome-wide association studies. These approaches combine sets of variants within a gene into a single burden score that is then tested for association. Typically, a range of burden scores are calculated and tested across a range of annotation classes and frequency bins.
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- COVID-19 and influenza are respiratory illnesses caused by different viruses but share some symptoms and clinical risk factors, yet their genetic connections remain poorly understood.
- A study involving over 18,000 influenza cases and nearly 276,000 control subjects found no common genetic risk factors between COVID-19 and influenza, revealing specific gene variants linked only to influenza.
- The research highlights the potential for targeting cell surface receptors involved in viral entry, showing that manipulating specific genes could lead to treatments that prevent both COVID-19 and influenza infections.
Joint association analysis of multiple traits with multiple genetic variants can provide insight into genetic architecture and pleiotropy, improve trait prediction, and increase power for detecting association. Furthermore, some traits are naturally high-dimensional, e.g.
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