Science at Muhdo
The science behind genetic testing has improved at a rapid rate; this is thanks to mass funding into genome-based medicine. This research has also shown up multiple associations between certain genes and human physical attributes, Muhdo as a company conducts its own research to help move the industry forward, improve sports and nutrition science in relation to genetics and stay revolutionary.
Our team is made up of geneticists, sports scientists, nutritionists and physiologists to make sure that all our science is not only fully backed but also that it is relevant to the consumer. Each aspect in our algorithm has at least 5 peer-reviewed papers backing the result, if aspects don’t meet this criteria they are pulled from our product.
Muhdo aims to continue the advancement of genetic research especially in lifestyle health, sports, injury and physiology.
Muhdo science – Algorithms and validation
Muhdo utilises algorithms to predict physiological outcomes based on certain genotypes. These types of algorithms are also applied to epigenetic science, however, as these markers change, results are not fixed, unlike the base pair algorithms. Muhdo has developed a robust system to make sure the accuracy of statements made are legitimate and can be backed up by science.
Muhdo does not make finite statements on disease markers associated with congenital disease such as fragile X syndrome, trisomy, cystic fibrosis etc. although these markers may be analysed on the Muhdo custom chipset.
Steps for science
Muhdo utilises a custom chip to analyse 1,000 hand chosen SNPs. These are hand chosen by geneticists Prof. Andres Valkna and Aire Allikas and Christopher Collins, a physiologist and expert in the practical usage of genetics. In addition, exercise, nutrition and lifestyle input is provided by James Brown, Muhdo’s director of Nutrigenomics, Lucy Ellis, a Nutrition consultant and Wez Pooley, a qualified strength and conditioning coach and Master Trainer PT. Finally, epigenetic testing is carried out by Muhdo’s principal lead, Dr Tanya Petrossian.
The combination of solid genetic science and human interaction is key to designing a custom chip that is actually beneficial to the individual. This then leads on to a custom algorithm design.
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