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Related Concept Videos

Human Genetics01:28

Human Genetics

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
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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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Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

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Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
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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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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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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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Related Experiment Video

Updated: Oct 5, 2025

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Polympact: exploring functional relations among common human genetic variants.

Samuel Valentini1, Francesco Gandolfi1, Mattia Carolo1

  • 1Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.

Nucleic Acids Research
|January 21, 2022
PubMed
Summary
This summary is machine-generated.

Polympact identifies functional relationships among common genetic variants, crucial for understanding complex diseases. This web resource aids in discovering variant interactions, advancing genetic research.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Numerous studies link common genetic variants to complex diseases, but the underlying biological mechanisms remain largely unknown.
  • Small effect sizes of common variants suggest that interactions between multiple variants are key to complex disease genetics.
  • Identifying functional relationships among variants is essential for uncovering these interactions.

Purpose of the Study:

  • To develop Polympact, a web-based resource for exploring functional relationships among human common variants.
  • To leverage variant functional element landscapes, transcription factor binding motif impacts, and gene expression data to infer variant interactions.

Main Methods:

  • Polympact characterizes over 18 million common variants.
  • It employs clustering analysis and novel similarity and interaction network models.
  • The resource integrates data on functional elements, transcription factor binding motifs, and transcript levels.

Main Results:

  • Polympact successfully identified relationships among multiple variants, suggesting putative interactions.
  • The utility of Polympact was demonstrated through analysis of variants from Breast Cancer and Alzheimer's Genome-Wide Association Studies (GWAS).

Conclusions:

  • Polympact provides a valuable tool for exploring functional variant relationships.
  • This resource can help elucidate the genetic components of complex diseases by revealing variant interactions.