ukbpheno v1.0: An R package for phenotyping health-related outcomes in the UK Biobank
暂无分享,去创建一个
[1] M. A. Said,et al. Genomic insights in ascending aortic size and distensibility , 2021, EBioMedicine.
[2] H. Snieder,et al. Twenty-Five Novel Loci for Carotid Intima-Media Thickness: A Genome-Wide Association Study in >45 000 Individuals and Meta-Analysis of >100 000 Individuals , 2021, Arteriosclerosis, thrombosis, and vascular biology.
[3] Genetic Makeup , 2021, Encyclopedia of Gerontology and Population Aging.
[4] A. Teumer,et al. The genetic makeup of the electrocardiogram , 2019, bioRxiv.
[5] P. Donnelly,et al. The UK Biobank resource with deep phenotyping and genomic data , 2018, Nature.
[6] Pim van der Harst,et al. Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease , 2017, Circulation research.
[7] Cathie Sudlow,et al. Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank , 2016, PloS one.
[8] Erik Schultes,et al. The FAIR Guiding Principles for scientific data management and stewardship , 2016, Scientific Data.
[9] C. Sudlow,et al. Accuracy of Patient Self-Report of Stroke: A Systematic Review from the UK Biobank Stroke Outcomes Group , 2015, PloS one.
[10] P. Elliott,et al. UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age , 2015, PLoS medicine.