Barely Significant

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highly significantp <10 −60.0× alphaqualifiedgold
The CCorA model applied revealed that there was only a single canonical dimension between the two datasets, which was found to be very highly significant ( p <10 −6 , Wilks'-Lambda test); this first dimension corresponded to a canonical correlation of 0.99, which accounted for 67.2% of the total variance.
highly significantp < 10 −60.0× alphaqualifiedgold
This is a highly significant enrichment relative to the <3% of background genes with known interactions (Fisher’s test p < 10 −6 ), confirming that our analytical pipeline is an effective approach to enrich for druggable targets. 645 (34%) of the compounds are predicted in a single patient, ranging from 15 in patient 17 to 205 in patient 18, further highlighting the importance of a patient-specific approach (Fig.
highly significantP < 0.0000010.0× alphaqualifiedgold
This analysis revealed a highly significant negative correlation (Pearson r = − 0.95, P < 0.000001) between the two variables (Fig. 1 ), which suggests that the breeds with a low genomic diversity have a high proportion of amino acid-changing SNVs compared to those with a high genomic diversity.
highly significantp < 0.0000010.0× alphaqualifiedgold
The heart, which had the lowest spirochete load, was set as the reference; the spirochete load was higher in the bladder (5.2x), ankle joint (5.4x), dorsal skin (25.7x), right ear (122.2x), and left ear (147.7x), and these differences among mouse organs were highly significant (Fig. 1 ; p < 0.000001; see section 5 in the ESM for the complete analysis).
highly significantp < 0.0000010.0× alphaqualifiedgold
Three unfavorable characteristics were selected as highly significant in all three models: Older DonorAge (yr) ( p < 0.000001), Longer StaticColdStorage Time (hr) ( p < 0.000001), and Higher RecipientBMI ( p ≤ 0.00003).
highly significantP < 10−60.0× alphaqualifiedgold
Specifically, the evidence grading criteria were as follows: If the association was supported by a highly significant random-effects ( P < 10−6, a threshold considered to substantially reduce false positive findings) 10 – 13 , a sample size of more than 1000 cases, P < 0.05 in the largest study, I2 < 50%, absence of small study effects, a PI excluding the null, no evidence of excess significance bias, and P < 0.05