This report clarifies the reason why behavioral genetic research could be better informed by utilizing attributes in the human iris as biomarkers for individuality, and is split into 5 sections.
Section 1 provides an intro to the traditional twin method as well as an overview of the conclusions which have guided the majority of developmental research workers to realize that the normal variation of personality relies on an intricate interplay between genetic and environmental factors.
Section 2 shows scientific findings that over the last two decades have steadily moved genetic and environmental theory and research to evolve towards each other, plus presents the concept of genetics and experience which presently is commonly used to describe how the interplay between genes and the environment works.
Section 3 points out why, from a developmental perspective, it’s of great interest to recognize candidate genes for personality, and offers a quick summary of genes which have been related to personality. Issues involving genetic research on the molecular level and just how these connect with personality are also presented.
Section 4 looks at molecular research on the iris and also the brain, which implies that genes expressed in the iris may be connected with personality, and describes how the use of iris characteristics can boost power to test candidate genes for personality by taking benefit of the self-organizing properties of the nervous system. The empirical basis for the questions posed in this dissertation and also the empirical outcomes are provided here.
Section 5 talks about the associations found between iris characteristics and personality, and illustrates how iris properties may be used within the theoretical frameworks presented in sections 1, 2, 3 and 4. Quite simply, Section 5 describes how iris characteristics – along with identify as well as test candidate genes for personality – may be utilized to examine how people’s experiences in themselves are affected by genetic factors.
Human Iris Characteristics as Biomarkers for Personality Downloads
Source: Örebro University
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