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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Incomplete Dominance01:43

Incomplete Dominance

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Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
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Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Video Experimental Relacionado

Updated: Jan 13, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

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Aplicaciones de haplotipos en la selección genómica

Tessa R MacNish1,2, Thomas Bergmann1,2, David Edwards3,4

  • 1School of Biological Sciences, The University of Western Australia, Perth, 6009, Australia.

Genome biology
|January 6, 2026
PubMed
Resumen
Este resumen es generado por máquina.

La selección genómica y el aprendizaje automático aceleran la mejora de cultivos. Los haplotipos, a diferencia de los polimorfismos de un solo nucleótido, capturan interacciones genéticas locales, mejorando la idoneidad de los modelos de aprendizaje automático para la mejora avanzada de plantas.

Palabras clave:
haplotiposselección genómicamejora vegetalaprendizaje automáticoproducción agrícola sostenibleinteracciones genéticas localespolimorfismos de un solo nucleótido

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Área de la Ciencia:

  • Ciencia Agrícola
  • Genética
  • Bioinformática

Sus antecedentes:

  • La producción agrícola sostenible requiere una mejora genética acelerada.
  • Las tecnologías de marcadores moleculares, incluida la selección genómica y el aprendizaje automático, son herramientas clave.
  • Los métodos convencionales que utilizan polimorfismos de un solo nucleótido tienen limitaciones para capturar interacciones genéticas complejas.

Objetivo del estudio:

  • Revisar métodos para definir bloques de haplotipos.
  • Discutir la aplicación de haplotipos en la mejora vegetal.
  • Destacar las ventajas de los haplotipos sobre los polimorfismos de un solo nucleótido para el aprendizaje automático.

Principales métodos:

  • Revisión de literatura sobre algoritmos de definición de bloques de haplotipos.
  • Análisis de aplicaciones existentes de haplotipos en programas de mejora vegetal.
  • Comparación de enfoques basados en haplotipos y polimorfismos de un solo nucleótido para la predicción de rasgos.

Principales resultados:

  • Los haplotipos pueden explicar efectos 죄인 locales, que son pasados por alto por los polimorfismos de un solo nucleótido.
  • Los datos de haplotipos son más adecuados para modelos de aprendizaje automático en comparación con los datos de polimorfismos de un solo nucleótido.
  • Los bloques de haplotipos definidos mejoran la precisión de los modelos de predicción genómica.

Conclusiones:

  • Los enfoques basados en haplotipos ofrecen una estrategia prometedora para mejorar las aplicaciones de aprendizaje automático en la mejora vegetal.
  • El uso de haplotipos puede conducir a una predicción más precisa de rasgos complejos, lo que ayuda a la producción agrícola sostenible.
  • La investigación adicional sobre la definición y aplicación de bloques de haplotipos es crucial para avanzar en la genética de cultivos.