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Polygenic Traits01:18

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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The term self-esteem is often used generically, to refer to how people feel about themselves. However, according to research, there are three distinct constructs that should not be used interchangeably (Brown & Marshall, 2006). 
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Personality traits represent consistent patterns in behavior, thoughts, and emotions, reflecting an individual's tendencies across various situations. For example, extraversion, a well-known trait, manifests in individuals as talkative, energetic, and enthusiastic behaviors. These traits are stable over time, offering a reliable framework for predicting how people might act in different contexts. However, they do not define every moment of an individual's life. In contrast to traits,...
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Many covalent molecules have central atoms that do not have eight electrons in their Lewis structures. These molecules fall into three categories:
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lncRNA - Long Non-coding RNAs02:39

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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Updated: Feb 13, 2026

Setup and Execution Of the Blindfolded Code Training Exercise
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La Regla de Codificación de Rasgos en el Espacio Fenotípico

Jianguo Wang1,2, Xionglei He1,2

  • 1MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275 China.

Phenomics (Cham, Switzerland)
|February 12, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Los científicos desarrollaron un nuevo método para separar los factores genéticos y no genéticos que influyen en los rasgos. Esto revela que los rasgos fenotípicos están codificados por un número limitado de dimensiones genéticas y un número ilimitado de dimensiones no genéticas.

Palabras clave:
CerebroRasgo complejoDescomposición dimensionalFenomaEspacio fenotípicoLevadura

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Área de la Ciencia:

  • Genética y Genómica; Biología Evolutiva; Fenómica

Sus antecedentes:

  • Las relaciones genotipo-fenotipo son centrales en la biología moderna.
  • La comprensión de cómo se codifican los rasgos fenotípicos dentro del espacio fenotípico es limitada.
  • El espacio fenotípico puede particionarse matemáticamente en subespacios genéticos (P^G) y no genéticos (P^NG).

Objetivo del estudio:

  • Desarrollar y aplicar un método de descomposición dimensional para separar las influencias genéticas y no genéticas en los rasgos fenotípicos.
  • Investigar la estructura dimensional de los subespacios genéticos y no genéticos.
  • Elucidar la arquitectura genética de los rasgos complejos en levadura y el cerebro humano.

Principales métodos:

  • Desarrolló y aplicó la dependencia de alta dimensionalidad basada en la descorrelación (UBHDD) para la descomposición dimensional.
  • Aplicó UBHDD a datos de fenotipos de levadura (~400 rasgos, ~1000 individuos).
  • Aplicó UBHDD a datos de fenotipos del cerebro humano del UK Biobank (~700 rasgos, ~26,000 individuos).

Principales resultados:

  • UBHDD separó con éxito los subespacios genéticos (P^G) y no genéticos (P^NG) en datos de levadura y humanos.
  • Identificó un número limitado de dimensiones latentes recurrentes en P^G para codificar diversos rasgos.
  • Demostró dimensiones específicas del rasgo y en constante aumento en P^NG.
  • Elucidó los orígenes genéticos vs. no genéticos de la asimetría del cerebro humano y reveló nuevas correlaciones genéticas.

Conclusiones:

  • Los rasgos fenotípicos están codificados por un conjunto limitado de dimensiones genéticas comunes y dimensiones no genéticas ilimitadas y específicas del rasgo.
  • UBHDD es un método eficaz para diseccionar la arquitectura genética y no genética de los rasgos complejos.
  • Este hallazgo proporciona una regla fundamental para el campo emergente de la fenómica.