Initially, we excluded 15 unidentified bacterial traits from our analysis, leaving us with a remaining set of 194 bacterial traits that span across 9 Phyla, 14 Classes, 20 Orders, 32 Families, and 119 Genera. Subsequently, we applied a significance threshold of p < 1.0 × 10–5 to select instrumental variables (IVs). To ensure genetic independence between loci, we utilized a linkage disequilibrium (LD) threshold of R2 < 0.001 and clumping distance = 10,000 kb using the “TwoSampleMR” package on the 1000 Genomes EUR data. For each associated trait, we retained single nucleotide polymorphisms (SNPs) with the lowest p-value for subsequent clumping analysis alongside the other 196 bacterial traits. This process resulted in a total of 2699 independent SNPs that were found to be associated with these bacterial traits. In the reverse MR analysis for IBS, we used a stricter threshold (p < 5 × 10–8), as previously described in Table 2 [20]. Extracting pertinent information such as effect allele, effect size (including β-value), standard error, and P-value for each SNP allowed us to calculate the proportion of variation explained (R2) and F-statistics to evaluate instrument strength. These calculations followed the equation: R2 = 2 × MAF × (1 − MAF) × β2; F = R2 (n-k-1) / k(1-R2), where “MAF” represents minor allele frequency of IVs used, “n” denotes sample size, and “k” signifies number of IVs employed [22,23].
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把下面这段话降重(用不同的表达方式)后英文输出We initially excluded 15 unnamed bacterial traits, resulting in a remaining set of 194 bacterial traits comprising 9 Phyla, 14 Classes, 20 Orders, 32 Families, and 119 Genera. We then applied a significance threshold of p < ...
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