UK biological sample library releases large-scale genetic data
October 18, 2018 Source: Chinese Journal of Science
Window._bd_share_config={ "common":{ "bdSnsKey":{ },"bdText":"","bdMini":"2","bdMiniList":false,"bdPic":"","bdStyle":" 0","bdSize":"16"},"share":{ }};with(document)0[(getElementsByTagName('head')[0]||body).appendChild(createElement('script')) .src='http://bdimg.share.baidu.com/static/api/js/share.js?v=89860593.js?cdnversion='+~(-new Date()/36e5)];Two papers published online in Nature recently introduced the genetic data of the UK biological sample bank. Two papers describe the entire data set in detail and conduct an in-depth study of the brain's genetic structure. The data set covers genome-wide genetic data, clinical measurements, and health records for approximately 500,000 individuals.
The UK Biobank contains genetic and clinical data for 500,000 years of age (at the time of recruitment) between the ages of 40 and 69. These resources help to study the genetic basis of health and disease. Participants were recruited from 2006 to 2010 and were continuously monitored. Some of the largest data sets included in the biological sample library, including genotypes and brain scans, facilitate the development of relevant studies on genes that influence brain structure and function.
Jonathan Marchini and colleagues at the University of Oxford in the United Kingdom analyzed the genetic and magnetic resonance imaging (MRI) brain scans of 8,428 individuals in the biological sample pool to find correlations between genetic variants and identified features in MRI scans, such as structural volume, The size of the lesion, the connection and microstructure of the white matter. They reported multiple genetic associations, including genes related to iron transport and storage, which may be associated with neurodegenerative diseases such as Alzheimer's and Parkinson's disease. The researchers also discovered associations between genes that encode proteins involved in synaptic plasticity and nerve fiber repair, or related to depression, stroke, and so on. They found that many of the identified traits in MRI scans are heritable.
In another paper, Stephen Smith of the University of Oxford in the United Kingdom first described all the data of about 500,000 individuals in the biological sample library, including biometrics, lifestyle indicators, and imaging data. These resources are open to researchers.
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