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Population genetics relies heavily on
mathematical modeling to make quantitative predictions about the behavior of
genes in populations. These models are based on Mendel's classical gene
inheritance principles, the Hardy-Weinberg balance law that predicts gene frequency
in a population, and Darwin's theory of natural selection. In recent years,
studies using genome-wide data on the prediction of human traits and disease
inheritance (ℎ2) are quite
common. The majority of results from studies using twins have shown that all of
the human complex features are inherited. Heredity grade is measured as either
the contribution of total genetic variation (broad sense heredity) or additive
genetic variation (narrow sense heredity). Various methods have been proposed
to estimate the heritability of features and diseases. The heritability of a
feature refers to the rate of phenotypic variation resulting from genetic
variation among individuals. It provides important information about the
genetic basis of complex features and indicates whether a phenotype is a
suitable target for more specific statistical and molecular genetic analysis.
However, the degree of heredity is not a constant feature of a phenotype, and
may vary with population-specific differences in genetic background and
environmental variation. The aim of this study is to introduce three different
methods commonly used to estimate the degree of heredity.
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Primary Language | Turkish |
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Subjects | Health Care Administration |
Journal Section | Reviews |
Authors | |
Project Number | - |
Publication Date | May 31, 2020 |
Submission Date | January 24, 2020 |
Published in Issue | Year 2020 Volume: 10 Issue: 2 |