A summary of the MR-GxE assumptions and proposed sensitivity analyses.

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A summary of the MR-GxE assumptions and proposed sensitivity analyses.

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2022-08-10

Table_1_Causal Effects of Genetically Predicted Cardiovascular Risk Factors on Chronic Kidney Disease: A Two-Sample Mendelian Randomization Study.XLSX

孟德尔随机化

慢性肾病因果效应

Observational studies have demonstrated that cardiovascular risk factors are associated with chronic kidney disease (CKD). However, these observational associations are potentially influenced by the r

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

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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

Table_3_Cathepsins and Parkinson’s disease: insights from Mendelian randomization analyses.CSV

孟德尔随机化

帕金森病生物标志物

BackgroundParkinson’s disease (PD), the second most prevalent neurodegenerative condition, has a multifaceted etiology. Cathepsin-cysteine proteases situated within lysosomes participate in a range of

NIAID Data Ecosystem00

DataSheet_5_Diseases of the musculoskeletal system and connective tissue and risk of breast cancer: Mendelian randomization study in European and East Asian populations.docx

孟德尔随机化

乳腺癌病因学

ObjectiveAssociations between diseases of the musculoskeletal system and connective tissue (MSCTD) and breast cancer (BC) have not been elucidated completely. The purpose of this study was to investig

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DataSheet_1_Serum cystatin C and stroke risk: a national cohort and Mendelian randomization study.docx

生物标志物与中风风险

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PurposeThe debate over the causal and longitudinal association between cystatin C and stroke in older adults persists. Our aim was to assess the link between cystatin C levels, both measured and genet

NIAID Data Ecosystem00

A summary of the MR-GxE assumptions and proposed sensitivity analyses.

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