Complex diseases (also known as multifactorial diseases), as its name suggests, are diseases caused by a complicated combination of genetic, environmental, and lifestyle factors. These diseases do not have single distinct causes or genes responsible, which makes risk assessment and early screening difficult. Yet some of them display strong association with certain genetic characteristics and family history, suggesting that genetic factors play an important role in the cause of these diseases.
Thus, BethBio developed an accurate risk prediction of complex diseases for individuals, through an integrated consideration of human genome data, epigenome and multi-omics health datasets. In particular, our team developed the Prism-Vote framework that can account for heterogeneous risk effects and complex traits across populations, which greatly improves our tests’ performances in data consisting of multiple populations or exhibits high degree of genetic variance, over other existing methods. Adding clinical parameters could further enhance its performance.
Besides higher accuracy, our tests are also highly tolerant to different data structures and could work on genome data with minimum prior formatting or cleaning, especially suitable for processing large numbers of human genome sequences. The test has been validated using large amounts of real world data in one of our collaborations and can be provided in wide-range screening settings for primary care organizations, genetic testing companies and the insurance industry. BethBio does not keep client’s genetic data and the analysis could be done via cloud computing platforms to ensure anonymity and data security.
Tests are available for various complex disorder, such as Alzheimer’s disease and Schizophrenia. We welcome commercial requests for developing tests for other diseases, or other human genome interpretation projects as well.
If any of our services interests you, please feel free to contact us at email@example.com.