Back to News
New research decodes the distribution of thousands de novo mutations across disease genes
Posted: 26/02/2024
New research decodes the distribution of thousands de novo mutations across disease genes

A new study has conducted the largest analysis of de novo mutations to date. These mutations are detected for the first time in an individual without being Mendelian inherited from parents. The research examined over 46,000 disease-associated de novo mutations reported in humans with the objective of understanding how these mutations are dispersed across gene and disease categories.

The authors found a higher incidence in some genes and diseases such as neurodevelopmental and psychiatric. The team also demonstrated that these mutations are more likely to be more deleterious than Mendelian inherited mutations, and plans to extend this study for a more comprehensive analysis of these types of gene lesions in the future, to a better understanding of the genetic basis of these disorders.

The project was coordinated by senior researcher Luísa Azevedo (UMIB, ICBAS, ITR) and conducted by a multidisciplinary team that involved researchers from UMIB, ICBAS, CHUdSA, CIIMAR, from the University of Porto PT, and collaborators from University of Cardiff UK.

 

For more information visit https://humgenomics.biomedcentral.com/articles/10.1186/s40246-024-00587-8

UMIB may use cookies to memorise the data you use when logging to website, gather statistics to optimise the functionality of the website and to carry out marketing campaigns based on your interests.

Only necessary Cookies These cookies are essential to provide services available on our website and to enable you to use certain features on our website. Without these cookies, we cannot provide certain services on our website.

Functionality cookies These cookies are used to provide you with a more personalized experience on our website and to remember the choices you make when using our website. For example, we may use functionality cookies to remember your language preferences and/or your login details.

Measuring and performance cookies These cookies are used to collect information to analyze traffic on our website and understand how visitors are using our website. For example, these cookies can measure factors such as time spent on the site or pages visited, this will allow us to understand how we can improve our site for users. The information collected through these measurement and performance cookies does not identify any individual visitor.