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PheWAS Summary Statistics
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2021-10-28
相关数据集
Power and type I errors of meta-analysis of single variant tests in the presence of missing data for continuous outcomes.
Datasets were simulated according to the genetic and phenotype model described in METHODS. Meta-analysis was performed to combine 20 cohorts with 1500 individuals each. For each replicate, summary ass
Figshare2018-07-27 更新40
Annotation of GWAS Metaanalysis Significant SNPs.
BackgroundGlycated hemoglobin (HbA1c) measures the average blood sugar level over the past three months. As a vital biomarker of blood glucose levels, it is used to diagnose Type-2 diabetes mellitus (
Figshare2025-05-30 更新20
Association analysis of haplotypes of CFA11, CFA5, and CFA14 loci with the phenotype in predisposed breeds.
The CFA11:41 Mb haplotype was determined by the genotype of the following SNVs: 41144469, 41161357, 41161441*, 41163558, 41166847, 41176819*, 41185205, 41192676, 41196587*, 41200012, 41204074, 4121562
NIAID Data Ecosystem10
The meta-analysis results between ADIPOQ -rs2241766 G/T polymorphism and obesity in addictive model (GG vs. TT).
Note: 1Meta-analysis in the Chinese studies excluding studies with different diagnostic criteria of obesity; 2Meta-analysis in the non-Chinese studies excluding studies with different diagnostic crite
NIAID Data Ecosystem30
Association Studies with Imputed Variants Using Expectation-Maximization Likelihood-Ratio Tests
Genotype imputation has become standard practice in modern genetic studies. As sequencing-based reference panels continue to grow, increasingly more markers are being well or better imputed but at the
Figshare2016-01-15 更新10
