For simulated data, number of predefined causal SNPs.

NIAID Data Ecosystem2026-05-10 收录

因果SNP模拟

遗传因果推断

数据链接：

https://figshare.com/articles/dataset/For_simulated_data_number_of_predefined_causal_SNPs_/30117308 数据链接链接失效反馈

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For simulated data, number of predefined causal SNPs.

创建时间：

2025-09-12

Data_Sheet_2_Mendelian Randomization With Refined Instrumental Variables From Genetic Score Improves Accuracy and Reduces Bias.doc

孟德尔随机化方法改进

遗传因果推断

Mendelian randomization (MR) can estimate the causal effect for a risk factor on a complex disease using genetic variants as instrument variables (IVs). A variety of generalized MR methods have been p

NIAID Data Ecosystem110

Colocalization and causal analysis results for brain genes and the target trait.

脑基因关联分析

遗传因果推断

Colocalization and causal analysis results for brain genes and the target trait.

Figshare2025-05-30 更新30

Additional file 5 of Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

甲基化调控基因

遗传因果推断

Additional file 5: Table S4. Associations between GIs and trans CpGs that remained significant (P < 1.4 x 10-11) after taking LD/pleiotropy among neighboring genes into account and that were insensiti

Figshare2020-08-28 更新10

The causal relationship of the six SNPs for three trait pairs in the discovery sample.

遗传因果推断

SNP关联分析

Note: The causal relationship of the SNPs was examined by comparing adjusted/conditional models in bivariate linear regression analyses, in which the genotype of each of the six SNPs was adjusted as a

NIAID Data Ecosystem70

Summary of MR results (instrumental SNPs with r2 < 0.1) for 2SLS-based methods of Uni-2SLS and Multi-2SLS.

孟德尔随机化

遗传因果推断

Summary of MR results (instrumental SNPs with r2

Figshare2023-12-27 更新10