Allelic Landscape of Human Blood Cell Trait Variation and Links

By William J. Astle, H. Elding, T. Jiang, D. Allen, Dace Ruklisa, Alice L. Mann, D. Mead, H. Bouman, Fernando Riveros-Mckay, Myrto A. Kostadima and 64 more. 2016

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Citations in the corpus

• The Polygenic and Monogenic Basis of Blood Traits and Diseases (2020, methodology): “For example, variant rs72928038, previously identified in a locus associated with lymphocyte count (Astle et al., 2016), was fine-mapped here as the likely causal variant (PPFM = 0.”
• The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019 (2018, background): “The GWAS landscape has evolved over the last ten years with an increase in publications employing complex methodologies, such as trait pleiotropy (9,10), interaction studies (11,12), Mendelian randomization (13) and large metaanalysis (14,15) and this has led to the discovery of new loci.”
• Genome-wide genetic data on ~500,000 UK Biobank participants (2017, background): “These exploit the UK Biobank’s substantial sample size, extensive phenotype information, and genome-wide genetic information to study the often subtle and complex effects of genetics on human traits and disease, and its potential interactions with other factors [10-15].”
• The impact of sex on gene expression across human tissues (2020, background): “of immune cells, because marked sex differences in immune cell abundances have been reported (30, 32).”