Table S1. Clinical Characteristics of the Study Population. Table S2. Gender-based Clinical Characteristics of the Study Population. Table S3. The correlations between circulating miRNAs and clinical laboratory indexes. Table S4. Stepwise linear regression analysis for plasma miR-222-3p in all subjects. Table S5. Stepwise linear regression analysis for plasma miR-221-3p in all subjects. Table S6. Clinical model predicted by stepwise logisitic analysis. Table S7. Genotype and allele frequencies of the APOE polymorphisms and HWE in this study. Table S8. The association between circulating miRs and APOE carriers. (DOC 117 kb
Table S1. A list of microRNAs with respective top 15 and least 15 PCA scores. A list of microRNAs wi...
The funnel plot of publication bias detection between PCSK9 rs562556 polymorphism and the serum lipi...
Table S1. Characteristics of patients with atypical myeloproliferative neoplasms (n = 18). Table S2....
Table S1. Logistic regression to predict ASCVD. Table S2. Basic information of RNA sample quality. T...
Pearson’s correlation was used to explore the relationships between miR-143 with Hcy, TC and LDL-c. ...
Pearson’s correlation was used to explore the relationships between Hcy with TC and LDL. P < 0.05 or...
Table S2. Title of data: Top ten coding genes correlated with each selected miRNAs. Description of d...
Figure S1. Correlation of miR-92a and hemodynamics parameters. Figure S2. Correlation of miR-92a lev...
Top 20 deregulated serum miRNAs that were identified by NGS in the ROW discovery set after adjusting...
Table S1. Information of miR-200 and 495 polymorphisms for PCR-RFLP. Table S2. Comparison of genotyp...
miRNAs participating in asthmatic condition. Table S2: the theoretical minimum sample volume calcula...
Table S1. Title of data: List of top 50 miRNAs in the multivariate analysis after adjustment by FDR....
Figure S1. Optimal cluster estimation based on silhouette score. Figure S2. Principal component anal...
Clinical and pathological data of the patients included in the study. Table S2. Primers used in the ...
Data statistics of samples. Table S2. Classify annotation of clean reads. Table S3. Actual reads cou...
Table S1. A list of microRNAs with respective top 15 and least 15 PCA scores. A list of microRNAs wi...
The funnel plot of publication bias detection between PCSK9 rs562556 polymorphism and the serum lipi...
Table S1. Characteristics of patients with atypical myeloproliferative neoplasms (n = 18). Table S2....
Table S1. Logistic regression to predict ASCVD. Table S2. Basic information of RNA sample quality. T...
Pearson’s correlation was used to explore the relationships between miR-143 with Hcy, TC and LDL-c. ...
Pearson’s correlation was used to explore the relationships between Hcy with TC and LDL. P < 0.05 or...
Table S2. Title of data: Top ten coding genes correlated with each selected miRNAs. Description of d...
Figure S1. Correlation of miR-92a and hemodynamics parameters. Figure S2. Correlation of miR-92a lev...
Top 20 deregulated serum miRNAs that were identified by NGS in the ROW discovery set after adjusting...
Table S1. Information of miR-200 and 495 polymorphisms for PCR-RFLP. Table S2. Comparison of genotyp...
miRNAs participating in asthmatic condition. Table S2: the theoretical minimum sample volume calcula...
Table S1. Title of data: List of top 50 miRNAs in the multivariate analysis after adjustment by FDR....
Figure S1. Optimal cluster estimation based on silhouette score. Figure S2. Principal component anal...
Clinical and pathological data of the patients included in the study. Table S2. Primers used in the ...
Data statistics of samples. Table S2. Classify annotation of clean reads. Table S3. Actual reads cou...
Table S1. A list of microRNAs with respective top 15 and least 15 PCA scores. A list of microRNAs wi...
The funnel plot of publication bias detection between PCSK9 rs562556 polymorphism and the serum lipi...
Table S1. Characteristics of patients with atypical myeloproliferative neoplasms (n = 18). Table S2....