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Polygenic Traits

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When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
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Heritability is a statistical concept that measures the degree to which genetic differences among individuals contribute to trait variations within a population. It is a fundamental idea in genetics, often prone to misinterpretation. Heritability is expressed as a percentage, reflecting the proportion of variation in a specific trait across a population that can be linked to genetic differences. However, it's important to understand that heritability does not determine how "genetic"...
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Gregor Mendel's pioneering work on the principles of inheritance fundamentally transformed our understanding of how traits are transmitted from generation to generation. His experiments with pea plants laid the groundwork for the discovery of genes, discrete units within organisms that control heredity.
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Facial Feedback Hypothesis01:24

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Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
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Human Genetics01:28

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Related Experiment Video

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Quantification of Orofacial Phenotypes in Xenopus
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Data-driven trait heritability-based extraction of human facial phenotypes.

Meng Yuan, Seppe Goovaerts, Hanne Hoskens

    Biorxiv : the Preprint Server for Biology
    |August 30, 2023
    PubMed
    Summary

    This study introduces a novel data-driven approach to optimize trait heritability for phenotyping in genome-wide association studies (GWAS). This method automatically extracts genetically relevant facial phenotypes, improving GWAS power.

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    Area of Science:

    • Genetics
    • Biometrics
    • Computational Biology

    Background:

    • Genome-wide association studies (GWAS) traditionally use expert-defined phenotypic measurements.
    • Handcrafted phenotypes may not capture all relevant genetic variations.
    • Existing automated methods like principal component analysis (PCA) may yield genetically irrelevant features.

    Conclusions:

    • Data-driven trait heritability optimization enables automatic extraction of genetically relevant phenotypes.
    • This approach overcomes limitations of handcrafted and standard computational phenotyping methods.
    • The proposed method significantly enhances the effectiveness of GWAS for complex morphological traits.