UK Biobank Genetic Analyses Enhancement

英国生物银行基因分析增强

• 批准号: MC_PC_12028
• 负责人: Rory Collins
• 金额: $ 1274.2万
• 依托单位: Wellcome Trust
• 依托单位国家: 英国
• 项目类别: Intramural
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MC_PC_12028
• 关键词: UK; Biobank; Genetic; Analyses; Enhancement

During the next 18 months, it is intended to measure about 600,000 genetic markers in the DNA extracted from blood samples that have already been collected from each of the 500,000 participants in UK Biobank. When these “genotype” measurements are combined with whole genome sequence data from a few thousand or tens of thousands of UK individuals, it will be possible to “impute” (i.e. estimate) very many more genetic variants in the region of the DNA adjacent to the variants that have been measured. The combination of these detailed genotyping data with the extensive range of known biochemical risk factors that are currently being measured in blood and urine samples from the UK Biobank participants, along with the detailed information from questionnaires and physical measurements conducted at the initial assessment visits and from linkage to health records about the development of disease during long-term follow-up, will make UK Biobank uniquely rich as a resource for researchers from all areas of health to conduct studies of the relevance of genes to disease rapidly and cost-effectively. Hence, these detailed genotype data will facilitate research that harnesses the full power of UK Biobank to help understand the causes of many different diseases.

在接下来的18个月里，它打算测量从血液样本中提取的DNA中约60万个遗传标记，这些血液样本已经从英国生物库的50万名参与者中每一个人那里收集到。当这些“基因型”测量与几千或数万个英国人的全基因组序列数据结合在一起时，就有可能在与已测量的变异相邻的DNA区域中“推测”(即估计)更多的遗传变异。这些详细的基因分型数据与英国生物库参与者目前在血液和尿液样本中测量的广泛已知生化风险因素相结合，再加上最初评估访问时进行的问卷和体格测量以及长期随访期间与疾病发展有关的健康记录的详细信息，将使英国生物库成为一个独特的丰富资源，供来自所有健康领域的研究人员快速且经济有效地进行基因与疾病的相关性研究。因此，这些详细的基因数据将有助于利用英国生物库的全部力量进行研究，以帮助了解许多不同疾病的原因。

项目成果

Risk of breast cancer in the UK biobank female cohort and its relationship to anthropometric and reproductive factors.

• DOI: 10.1371/journal.pone.0201097
• 发表时间: 2018
• 期刊: PloS one
• 影响因子: 3.7
• 作者: Al-Ajmi K;Lophatananon A;Ollier W;Muir KR
• 通讯作者: Muir KR

Abstract B16: Development of breast cancer risk prediction for the UK population using the UK Biobank dataset

摘要 B16：使用英国生物银行数据集对英国人口进行乳腺癌风险预测

• DOI: 10.1158/1538-7755.carisk16-b16
• 发表时间: 2017
• 期刊: Cancer Epidemiology, Biomarkers & Prevention
• 作者: Alajmi K

Adiposity and NMR-measured lipid and metabolic biomarkers among 30,000 Mexican adults.

• DOI: 10.1038/s43856-022-00208-2
• 发表时间: 2022-11-14
• 期刊: COMMUNICATIONS MEDICINE
• 作者: Aguilar-Ramirez, Diego;Herrington, William G.;Alegre-Diaz, Jesus;Staplin, Natalie;Ramirez-Reyes, Raul;Gnatiuc, Louisa Friedrichs;Hill, Michael;Romer, Frederik;Trichia, Eirini;Bragg, Fiona;Wade, Rachel;Lewington, Sarah;Collins, Rory;Emberson, Jonathan R.;Kuri-Morales, Pablo;Tapia-Conyer, Roberto
• 通讯作者: Tapia-Conyer, Roberto