Ingenuity Pathway Analysis (IPA) indicated the UPR as the most highly significant canonical pathway (−log ( p -value) = 7.37) followed by ER stress (−log ( p -value) = 3.93).
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PPI enrichment analyses of exclusive DE-OA-B genes that are downregulated in lesioned as compared with preserved cartilage ( n = 57) showed highly significant connected genes ( P<4 .5×10 −8 ) and highlighted 234 FDR significant GO biological terms ( Supplementary Table S14 and Fig.
RESULTS The meta-analysis revealed a highly significant association for rs9939609 with both type 2 diabetes (OR 1.13; P = 4.5 × 10 −8 ) and the risk to develop incident type 2 diabetes (OR 1.16; P = 3.2 × 10 −8 ).
Patients display depressed joint entropy rate relative to the controls, with the Kolmogorov–Smirnov test demonstrating that this elevation is highly significant p = 4.506 × 10 − 8 , D ∗ = 0.2188 .
The independent t-test revealed a highly significant difference in EQ-5D-5L Index changes between Group I and Group II (P = 4.51 × 10− 8 ).
Furthermore, the correlation was highly significant using both Pearson’s and Spearman’s tests ( p =4.51×10 −8 and 3.70×10 −6 , respectively).
The global haplotype test was highly significant (χ 2 = 71.803, P = 4.60 × 10 −8 ).
2B ) that among the top ten enriched pathways, five of them exhibited highly significant enrichment p value for the 3 treatments (digoxin 1 μM, digoxin 10 μM, and TNFα 30 ng/ml): HIF-1 targets ( p values = 4.61 × 10 −8 , 5.61 × 10 −5 and 2.06 × 10 −7 ), glycolysis and gluconeogenesis ( p values = 5.06 × 10 −7 , 4.43 × 10 −3 and 2.43 × 10 −5 ), antigen presentation by MHC class I ( p va
31 Likewise, here the presence or absence of variant repeats ( figure 2C ) was revealed as a highly significant ( p = 4.9 × 10 −8 ) additional measure in the regression model ( table 2 , model 2b, r 2 = 0.610, p < 2.2 × 10 −16 ).
Pairwise Comparisons between Composites All the 3 Tukey's pairwise comparisons between the Δb parameters of 3 composites became highly significant (all P values <0.00000005, Figures 3 and 4 , Table 1 ). 3.2.2.
The analysis reveals several highly significant genetic loci that surpass the genome-wide significance threshold ( p = 5 × 10−8, indicated by the red dashed line).
Importantly, while the P -value for rs17421627 and rs1568679 are highly significant with the common standards used in GWAS ( P < 5 × 10 −8 ), this is not the case for rs16932455 ( P = 2 × 10 −6 ).
In complex diseases such as SLE, where many different genes make a modest contribution to disease susceptibility, it is necessary to perform large-scale association studies to combine results from several datasets, to have sufficient power to identify highly significant novel loci ( P <5×10 −8 ).
Three SNPs were highly significant ( p < 5 × 10 −8 ): rs651821 , rs6494835 and rs8035009 ( Fig 2 ).
As SMR is based on highly significant eQTLs ( p < 5 × 10 −8 ), this constitutes an additive value for using eQTLGen by providing more power to detect regulatory associations.
Initially, selected were only SNPs that had a highly significant association with exposure ( p < 5 × 10 −8 ).
14 , 15 Our most significant finding is the identification of two novel and highly significant SNP loci, rs1736952 and rs17354984 ( p < 5 × 10 −8 ), which are strongly associated with noninfectious anterior uveitis in AS patients.
Amongst the role of common genetic variant, CASZ1 gene variation has been observed to be highly significant ( p < 5 e − 08 ) and validated in various other populations [ 10 – 12 ].
However, most of the identified genetic loci were limited to a highly significant statistical threshold (p < 5 × 10 -8 ) because the genotype/phenotype data is inherently noisy.
While AUC values were only slightly above 0.5, their p -values remained highly significant, even under a strict threshold ( p < 5e -8 ), except for the irritability item ( p = 7e -5 ).
Highly significant associations (i.e., p < 5 × 10 −8 ) were found between progression-free survival (PFS) and six SNPs (i.e., rs116665727, rs1607795, rs75614943, rs77241831, rs117500207, rs78466241).
Potential causal effects between CKD and RCC With a highly significant threshold of P<5×10 −8 , we selected 22 SNVs associated with CKD as instrumental variables.
41 A follow-up GWAS of copper, selenium, and zinc identified eight highly significant ( p < 5 × 10 − 8 ) common genetic variants that mapped to loci containing genes with roles in trace element metabolism. 42 These genetic variants accounted for 4%–8% of phenotypic variance in copper, selenium, and zinc.
For the number of target SNPs per million reads sequenced, TW1 resulted in significantly higher recovery compared to SG ( t = 4.03, p = 2.07 × 10 −4 ), TW2 showed a significant increase compared to TW1 ( t = 2.34, p = 0.0238), and TW2 indicated a highly significant difference compared to SG ( t = 6.52, p = 5.00 × 10 −8 ).
S1 ) and revealed 76 SNPs with highly significant ( P < 5e−8) associated with the striped phenotype ( Fig.