Frequency distribution patterns of some human traits in the Kurdistan region's population: A survey
DOI:
https://doi.org/10.15218/hcchs.2023.08Keywords:
Genetic Traits, Inheritance Pattern, Phenotype Frequency, Genes, AllelesAbstract
Background and objective: The study of genetic attributes across multiple nations has revealed the complex interaction of heredity that forms our species. Specifically, the Kurdistan region, with its distinctive demographic history, offers anpossibility to investigate patterns of common human traits. This study aimed to analyze the genetic framework that influences specific traits in this population, giving insights with significant medical implications.
Methods: Data on nine phenotypic traits controlled by a single gene were collected from 602 participants from the Kurdistan region. Ethical standards were maintained by obtaining informed consent from all participants, ensuring privacy, and adhering to ethical research practices. The statistical analysis was conducted using Jamovi 2.3.21, employing Chi-square tests to assess differences in trait distribution across genders.
Results: The survey evaluated the distribution of traits such as widow's peak, straight hairline, earlobes, facial Dimples, tongue folding, tongue rolling, cleft chin, hitchhiker's thumb, bent little finger, and hand clasping. Significant differences in the prevalence of these traits were found between genders. For instance, widow's peak was observed in 26% of the population, showing a higher frequency in males compared to females. Other traits like tongue rolling and cleft chin also exhibited significant gender differences, which indicates that dominant alleles were predominant than recessive alleles.
Conclusion: This study highlights the genetic diversity and specific inheritance patterns of traits within the Kurdistan region’s population. While some traits displayed a recessive pattern, the overall genetic influence was significant. Future studies should expand on this genetic analysis and incorporate larger sample sizes to enhance the knowledge of genetic diversity and its implications in medical and genetic research.
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