Female dosimetry was extrapolated from male data.
The effects in females were more reliable and robust than in males due to wide confidence intervals and potential confounding by litter size for male data.
However, the most significant difference between dyslexic and normal student was answering speed, especially in the combined data and the male data.
CFA was also performed on female and male data independently to test the plausibility of differing factor structures related to gender.
As we had more complete age-specific data for males all demographic rates (vital rates) were based on male data.
Although the Italian male data was different it fell within the range of the other baseline data (figure 2).
Using PGC-specific, tissue non-specific alkaline phosphatase (TNAP) staining, we found that both control and mutant E11.5 genital ridges of the female were stained identically to that of the male (data not shown).
The female and male data revealed the following common interacting partners in the analyses for t-PA: ETNK2 and35G and ETNK2 C5047T, ETNK2 and35G and PAI 4G/5G, REN T9435C and TPA I/D, in addition to TPA I/D and PAI 4G/5G.
Because models including female and male data did not have the same random effect structure to control for repeated measurements of the same individual each year and across years (female identity nested within year of observation for females and male identity nested within year of observation for males), we decided to treat males and females separately.
The male data yielded three super hotspots each containing between 8.5 to 11.5% of all the male eQTLs, one near the proximal end of chromosome 1 containing 1316 eQTLs, one on chromosome 16 containing 1434 eQTLs, and one for the entire Y chromosome containing 1145 eQTLs (Fig 1B).
Our comparable male data (on n = 19 adults) derived from a prior study [ 27].
