An atlas of genetic associations in UK Biobank
暂无分享,去创建一个
[1] Po-Ru Loh,et al. Mixed-model association for biobank-scale datasets , 2018, Nature Genetics.
[2] P. Donnelly,et al. Genome-wide genetic data on ~500,000 UK Biobank participants , 2017, bioRxiv.
[3] Charles H. Yoon,et al. An immunogenic personal neoantigen vaccine for patients with melanoma , 2017, Nature.
[4] Christopher I. Amos,et al. Two-stage genome-wide association study identifies a novel susceptibility locus associated with melanoma , 2017, Oncotarget.
[5] Itsik Pe'er,et al. Statistical correction of the Winner’s Curse explains replication variability in quantitative trait genome-wide association studies , 2017, bioRxiv.
[6] J. Woolliams,et al. Improved Genetic Profiling of Anthropometric Traits Using a Big Data Approach , 2016, PloS one.
[7] J. Woolliams,et al. A new tool called DISSECT for analysing large genomic data sets using a Big Data approach , 2015, Nature Communications.
[8] 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.
[9] S. O’Brien,et al. SmileFinder: a resampling-based approach to evaluate signatures of selection from genome-wide sets of matching allele frequency data in two or more diploid populations , 2015, GigaScience.
[10] Carson C Chow,et al. Second-generation PLINK: rising to the challenge of larger and richer datasets , 2014, GigaScience.
[11] P. Visscher,et al. Advantages and pitfalls in the application of mixed-model association methods , 2014, Nature Genetics.
[12] M. Carrington,et al. Fine-Mapping the Genetic Association of the Major Histocompatibility Complex in Multiple Sclerosis: HLA and Non-HLA Effects , 2013, PLoS genetics.
[13] Kenny Q. Ye,et al. An integrated map of genetic variation from 1,092 human genomes , 2012, Nature.
[14] P. Visscher,et al. Common SNPs explain a large proportion of the heritability for human height , 2010, Nature Genetics.
[15] Hans D. Daetwyler,et al. Accuracy of Predicting the Genetic Risk of Disease Using a Genome-Wide Approach , 2008, PloS one.
[16] Manuel A. R. Ferreira,et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.
[17] C. Haley,et al. Genomewide Rapid Association Using Mixed Model and Regression: A Fast and Simple Method For Genomewide Pedigree-Based Quantitative Trait Loci Association Analysis , 2007, Genetics.
[18] C. Haley,et al. GRAMMAR: a fast and simple method for genome-wide pedigree-based quantitative trait loci association analysis , 2007 .
[19] A. Banham,et al. FOXP1: a potential therapeutic target in cancer , 2007, Expert opinion on therapeutic targets.
[20] Peter M Visscher,et al. A note on the asymptotic distribution of likelihood ratio tests to test variance components. , 2006, Twin research and human genetics : the official journal of the International Society for Twin Studies.
[21] P. Visscher. A Note on the Asymptotic Distribution of Likelihood Ratio Tests to Test Variance Components , 2006, Twin Research and Human Genetics.
[22] M. Goddard,et al. Prediction of total genetic value using genome-wide dense marker maps. , 2001, Genetics.
[23] D. Stram,et al. Variance components testing in the longitudinal mixed effects model. , 1994, Biometrics.
[24] Peter Kraft,et al. Genome-wide association study identifies 14 novel risk alleles associated with basal cell carcinoma , 2022 .