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Univariable estimates of genetically predicted Lp(a) on each PCa outcome.

NIAID Data Ecosystem2026-03-13 收录

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https://figshare.com/articles/dataset/Univariable_estimates_of_genetically_predicted_Lp_a_on_each_PCa_outcome_/19078449 数据链接链接失效反馈

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资源简介：

Univariable estimates of genetically predicted Lp(a) on each PCa outcome.

应用场景：

创建时间：

2022-01-27

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.

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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

Table1_Association of oxidative stress, programmed cell death, GSTM1 gene polymorphisms, smoking and the risk of lung carcinogenesis: A two-step Mendelian randomization study.DOCX

遗传流行病学

孟德尔随机化

Aim: We aimed to examine the association of oxidative stress, programmed cell death, smoking, and the GSTM1 gene in the risk of lung carcinogenesis. The two-step Mendelian randomization will reveal ev

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

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

Univariable estimates of genetically predicted Lp(a) on each PCa outcome.

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