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Furthermore, there are 16 long-lived CLHLS participants whose genotype data are available but some of their main phenotypic variables are missing, and thus, we used 877 valid cases of long-lived CLHLS participants in this study.
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The components were labeled by their primary platelet phenotypic variables, defined as loadings > 0.4.
A principal component analysis allowed us to associate specific gene expression clusters to phenotypic variables.
The Pearson correlation coefficient was used to estimate linear associations among phenotypic variables.
A principal component analysis revealed two main phenotypic groups, partially correlating with previously described genomic clusters.
MAX and TOP3 were equivalent phenotypic variables to be used in a GWAS.
The main phenotypic variance indeed appeared as channeling evolution between populations.
Additional phenotypic variables were described.
The mutations we identified fall into four main phenotypic classes.
The main phenotypic characteristic of MKD patients is periodic fever.
Currently, in the main methods one can get the list and description of (i) the public genotypes studied in all experiments or in a specific experiment, (ii) the measured phenotypic variables or (iii) the different types of images collected.
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