There is no halfway. Reno x Tifa Rated: From Kalm, you could see it. It was like watching the stars—scattered lights, seemingly without design. The city was a constellation unto itself. Yet… Midgar couldn't see the stars, so they wouldn't know—the slums least of all.
Recent advances in genome-wide association studies GWAS provide a wealth of data for associating genetic profiles with disease risk; however, in general, these data have not been systematically probed for sex differences in gene-disease associations. Incorporating sex into the analysis of GWAS results can elucidate new relationships between single nucleotide polymorphisms SNPs and human disease. We employed and compared three methods: GWAS analyses that fail to consider sex-specific effects may miss discovering sexual dimorphism in SNP-disease associations that give new insights into differences in disease mechanism between men and women. Introduction There are clear biological and physiological differences between men and women, including differences in the incidence and progression of diseases.
Sex differences in disease risk from reported genome-wide association study findings
I Conception and design: All authors; II Administrative support: All authors; III Provision of study materials or patients: All authors; IV Collection and assembly of data: All authors; V Data analysis and interpretation:
First, it is large enough at least 35 modern languages can be handled as individual idioms and dialects and not less than six well-recorded ancient and medieval languages. The most popular of them, to date, are classification by N. Such attempts have been made before, but the word list surveys so far were not yet compiled for absolute majority of the languages