Meta-regression of <i>M</i> statistics in the CARDIoGRAMplusC4D GWAS meta-analysis.

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https://figshare.com/articles/dataset/Meta-regression_of_i_M_i_statistics_in_the_CARDIoGRAMplusC4D_GWAS_meta-analysis_/4958729 数据链接链接失效反馈

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Meta-regression of M statistics in the CARDIoGRAMplusC4D GWAS meta-analysis.

创建时间：

2017-05-15

Additional file 8 of Integration of genetic colocalizations with physiological and pharmacological perturbations identifies cardiometabolic disease genes

心血管疾病遗传学

共定位分析

Additional file 8. Directional effects of gene expression on GWAS traits for all colocalized gene / eQTL tissue / GWAS trait combinations. (XLSX 2807 kb)

NIAID Data Ecosystem40

Data_Sheet_1_Differential Effects of Genetically Determined Cholesterol Efflux Capacity on Coronary Artery Disease and Ischemic Stroke.pdf

心血管疾病遗传学

孟德尔随机化

BackgroundObservational studies indicated that cholesterol efflux capacity (CEC) of high-density lipoprotein (HDL) is inversely associated with cardiovascular events, independently of the HDL choleste

NIAID Data Ecosystem30

Restrictive genetic instrument for height used in 2-sample MR analysis including independent (distance threshold = 10,000 kb, r 2 = 0.001), genome-wide significant ( p −8 ) variants, excluding those SNPs nominally ( p < 0.05) associated with coronary artery disease, HDL, LDL, total cholesterol, triglycerides, fasting glucose, fasting insulin, diabetes, BMI, waist-to-hip ratio, and systolic blood pressure in the MR-Base database.

孟德尔随机化

心血管疾病遗传学

(XLSX)

NIAID Data Ecosystem20

The single nucleotide polymorphisms (SNPs) predictive of the subjects with 15% lowest and highest IMT levels in 2001.

心血管疾病遗传学

SNP单核苷酸多态性

*The SNPs identified also in the previous case-control association studies [9]–[21] are boldfaced. †The corrected p-values larger than one were truncated to unity. ‡The SNPs are arranged according to

NIAID Data Ecosystem40

Table1_Evaluation of 71 Coronary Artery Disease Risk Variants in a Multiethnic Cohort.xlsx

心血管疾病遗传学

跨种族风险变异验证

BackgroundCoronary heart disease (CHD) is the most common cause of death worldwide. Previous studies have identified numerous common CHD susceptibility loci, with the vast majority identified in popul

NIAID Data Ecosystem30

Meta-regression of <i>M</i> statistics in the CARDIoGRAMplusC4D GWAS meta-analysis.

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