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    Home > Food News > Food Articles > The UK Bios sample bank publishes large-scale genetic data

    The UK Bios sample bank publishes large-scale genetic data

    • Last Update: 2021-03-14
    • Source: Internet
    • Author: User
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    paper, published online today in Nature, focuses on genetic data from the UK's biological sample bank. The whole data set is described in detail in two papers, and the genetic structure of the brain is studied in depth. The dataset covers genome-wide genetic data, clinical measurements, and health records from about 500,000 individuals.
    UK Bios sample bank contains genetic and clinical data from 500,000 Britons between the ages of 40 and 69, which helps to study the genetic basis of health and disease. Participants were recruited from 2006 to 2010 and are monitored on an ongoing basis. Some of the largest data sets in the biological sample pool include genotypes and brain scans, which help promote research into genes that affect brain structure and function.
    Jonathan Marchini of the University of Oxford in the UK and colleagues looked at the association between genetic variation and identified features in MRI scans, such as structural volume, lesions, connections to brain whiteness, and microstructages, by analyzing genetic and magnetic resonance imaging (MRI) brain scan data from 8,428 individuals in the bioscopic library. They reported multiple genetic associations, including genes associated with iron transport and storage, that may be associated with neurodegenerative diseases such as Alzheimer's and Parkinson's disease. The researchers also found a link between genes that encode proteins related to synactose plasticity and nerve fiber repair, or to depression, stroke, and more. They found that many of the identified symptoms in MRI scans were hereditary.
    paper, Stephen Smith of the University of Oxford in the UK describes for the first time all the data from about half a million individuals in the bioscopic pool, including biometrics, lifestyle indicators and imaging data. These resources are open to researchers. (Source: Feng Lifei, China Science Journal)
    relevant paper Information:
    DOI: 1
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