Barely Significant

Excerpts

5,163 sentences · 1 filter applied

nominally significantp < 0.051.0× alphagold
3g ) of genetic associations with infarcts and with blood SMAD3 levels in ADNI and MCSA revealed 6 intronic SMAD3 variants (rs71400360, rs12904527, rs12909923, rs71400361, rs35779650, rs28564777) that had nominally significant associations ( p < 0.05) with both lower risk of brain infarcts and with higher blood levels of SMAD3 .
nominally significantP < 0.051.0× alphagold
Nominally significant effects of diagnosis on AIs (i.e., with P < 0.05, but which did not survive multiple comparison correction), were observed for the fusiform surface area AI ( β = −0.005, t = −2.56, P = 0.010) (Supplementary Table 2 ), pars orbitalis thickness AI ( β = −0.003, t = −2.26, P = 0.024), posterior cingulate thickness AI ( β = −0.003, t = −2.1, P = 0.034), superior temporal thickness ( β = −0.002, t = −1.97, P = 0.049), and caudate nucleus volume ( β = 0.003, t = 2.24, P = 0.025).
marginally significantP < 0.051.0× alphagold
Secondary GWAS ( N = 255,426), excluding shiftworkers and individuals with chronic health or psychiatric illnesses, additionally identified significant variants in SEMA3D and revealed marginally significant interactions with health status at PATJ, ZENF326/BARHL2, ECE2, ASAP1 , and CYP1A1/CYP1A2 (interaction P < 0.05; Supplementary Fig. 6 , Supplementary Table 7 ).
highly significantp < 0.051.0× alphaqualifiedgold
Lung microbiota clusters predict survival independent of clinical variables and host responses Comparisons of microbial communities between survivors and non-survivors at 60-days post-ICU admission showed highly significant differences in Shannon index, obligate anaerobe and pathogen abundance in lung samples both at baseline and in the middle follow-up interval ( p < 0.05, Figure S11 ).
nominally significantP < 0.051.0× alphagold
Genes with nominally significant ( P < 0.05) estimates of SNP-heritability (cis- \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$h_g^2$$\end{document} h g 2 ), are then put forward for training predictive models.