KRT17

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KRT17

A gene on chromosome 17q21.2 that encodes a type-I keratin, an intermediate filament protein that provides the structural integrity of epithelial cells, and is expressed in nail bed, hair follicle, sebaceous glands and other epidermal appendages.

Molecular pathology
KRT17 mutations are associated with pachyonychia congenita (Jackson-Lawler type) and steatocystoma multiplex.
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Three PCs were extracted from men, which accounted for 38.4% (PC1), 14.5% (PC2), and 14.3% (PC3) of the variability.
PC2: Our tour guides are well educated when it comes to the content of the building itself as well as the parliamentary process.
Thus, in the dimensions of the Cartesian plane, the variables that explained the variability on the x-axis (PC1) were fat (r=0.84, P <0.001), PROT (r =0.75, P <0.001) and TDE (r =0.99, P <0.001).Variables that explained the variability on the y-axis (PC2) included LACT (r=-0.86, P <0.001), the SCC (r =0.50, P <0.001) and the TBC (r =0.62; P <0.001).
Despite the allocation of lowest profits to PC2, LCD, and DC2, as shown in Table 9, MCRS yields the lowest distance (354) to the core center in Table 10.
The distribution of percent arsenic species by the index SNP genotypes for PC1 (see Figure S10) and PC2 (see Figure S11) are presented in the supplemental material.
For a WBWD year, if its PC1 is greater than 1.0 as well as absolute PC2, it is classified as positive phase of the first EOF mode.
The robustness plot addresses this by looking at the ratio of explained variance between PC1 and PC2. There are, of course, many ways to estimate the number of significant principal components, many reviewed in references [26,27], but the ratio of PC1/PC2 clearly indicates if the first PCA component is describing more explained variance than the second one.
Focusing, instead, on drying oils, these binders datasets contribute with a positive score value to PC1, whereas they result to be very close to a zero value for PC2 (Figure 5).
OTf PC2 was obtained from hyperimmune eggs (HPC2) from chickens immunized with bacterial and fungal antigens (multiple antigens).
The net variation of the biplot is illustrated by PC1 and PC2. PC1 (15.26%) represented FRWD, FRTHK, AVGWT, PEC.
PC1 generally characterized tree cover and distribution while PC2 generally characterized vegetation type.