首页/数据集/uk10k_cohort_alspac_rel_2012_06_02-sc-20131101-phenotypes - samples

uk10k_cohort_alspac_rel_2012_06_02-sc-20131101-phenotypes - samples

NIAID Data Ecosystem2026-03-12 收录

队列表型数据

遗传流行病学

数据链接：

https://www.omicsdi.org/dataset/ega/EGAD00001000789 数据链接链接失效反馈

官方服务：

资源简介：

UK10K_COHORT_ALSPAC REL-2012-06-02: Phenotype dataEGA dataset EGAD00001000789

应用场景：

创建时间：

2021-04-23

遗传流行病学

疾病风险预测

ref.: reference group. aMultivariate OR values were adjusted for age, gender, educational level, and cumulative cigarette smoking. *p<0.05 by trend test.

NIAID Data Ecosystem60

SNPS information for tool variables.

孟德尔随机化

遗传流行病学

SNPS for Mendelian randomization analysis after linkage imbalance and adjustment of p-values for all instrumental variables. (ZIP)

Figshare2024-04-23 更新10

Characteristics of data sources.

遗传流行病学

肥胖病因学

Background Observational studies have suggested associations between sedentary behaviors (SB), physical activity (PA), sleep duration (SD), and obesity, but the causal relationships remain unclear. Me

NIAID Data Ecosystem00

Table2_Genetic Epidemiology of Medication Safety and Efficacy Related Variants in the Central Han Chinese Population With Whole Genome Sequencing.xlsx

药物基因组学

遗传流行病学

Medication safety and efficacy-related pharmacogenomic research play a critical role in precision medicine. This study comprehensively analyzed the pharmacogenomic profiles of the central Han Chinese

NIAID Data Ecosystem50

Stage-1 GWAS

血压全基因组关联分析

遗传流行病学

Summary statistics from Stage-1 GWAS for blood pressure phenotypesEGA dataset EGAD00010001569

NIAID Data Ecosystem10