sepsis
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: 1. Significantly related to exposure: SNPS must be associated with target exposure (expression of a specific gene or abundance of a specific protein) It is significantly correlated at the whole-genome level (eQTL usually p<5×10^-8, pQTL commonly p<5×10^-6). 2. Genetic independence: There is no linkage disequilibrium among the selected SNPs (usually r^2<0.001 within 10,000 kb) to ensure that each instrumental variable provides independent information. 3. Instrumental variable strength: The F-statistic of each SNP should be greater than 10 to avoid weak instrumental variable bias. "F-statistics" The formula for calculating the quantity is: F = (Beta^2/ SE^2). 4. Data Availability: The SNP must be present in both the exposure and outcome GWAS summary data, and the allelic side Be consistent.
Exclusion criteria
Exclusion criteria: 1. Palindromic sequences and chain ambiguity SNPs: Exclude those A/T or C/G SNPs whose positive chains cannot be determined to avoid alleles Matching error. 2. Outlier SNPS: In sensitivity analyses (such as MR-PRESSO), they are identified as having a disproportionately significant impact on the results Abnormal SNPS with loud noises will be excluded. 3. SNPS with significant pleiotropy: Discovered through methods such as MR-Egger regression and PhenoScanner database query Now, pleiotropic SNPS significantly associated with known sepsis confounding factors (such as smoking, obesity, and other autoimmune diseases) will be excluded. 4. Low frequency of secondary alleles: Rare variations with MAF<0.01 are usually excluded to ensure the stability of the results.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Risk of Sepsis, Exposure data, outcome data, validation and functional analysis data; | — |
Countries
China
Contacts
The First Affiliated Hospital of Dalian Medical University