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Related Concept Videos

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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X-linked Traits01:19

X-linked Traits

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In most mammalian species, females have two X sex chromosomes and males have an X and Y. As a result, mutations on the X chromosome in females may be masked by the presence of a normal allele on the second X. In contrast, a mutation on the X chromosome in males more often causes observable biological defects, as there is no normal X to compensate. Trait variations arising from mutations on the X chromosome are called “X-linked”.
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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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Multiple Allele Traits01:49

Multiple Allele Traits

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The Concept of Multiple Allelism
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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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Related Experiment Video

Updated: Nov 16, 2025

Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness
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A molecular quantitative trait locus map for osteoarthritis.

Julia Steinberg1,2,3,4, Lorraine Southam1,3, Theodoros I Roumeliotis3,5

  • 1Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.

Nature Communications
|February 27, 2021
PubMed
Summary

This study maps the molecular basis of osteoarthritis (OA) using genetics, transcriptomics, and proteomics in patient tissues. Findings reveal key genes and targets for developing new OA therapies and diagnostic tools.

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Area of Science:

  • Molecular biology
  • Genetics
  • Proteomics
  • Osteoarthritis research

Background:

  • Osteoarthritis (OA) affects over 500 million people globally, causing pain and functional disability.
  • Understanding the molecular underpinnings of OA is crucial for developing effective disease-stratifying tools and therapies.
  • Current knowledge of OA's molecular basis in relevant tissues and cell types requires further depth.

Purpose of the Study:

  • To construct a comprehensive molecular signature map of osteoarthritis.
  • To integrate multi-omics data (genetics, transcriptomics, proteomics) for a deeper understanding of OA.
  • To identify novel molecular targets for osteoarthritis drug development and repurposing.

Main Methods:

  • Analysis of primary cartilage and synovium tissues from 115 osteoarthritis patients.
  • Integration of genetic, transcriptomic, and proteomic data.
  • Discovery of molecular trait loci across different omics levels and tissue types.

Main Results:

  • Identification of molecular trait loci specific to cartilage and synovium.
  • Pinpointing likely effector genes associated with osteoarthritis genetic signals.
  • Highlighting high-value molecular targets for potential therapeutic interventions.
  • Construction of a deep molecular signature map of osteoarthritis.

Conclusions:

  • The study provides significant insights into the aetiopathology of osteoarthritis.
  • Identified molecular targets offer translational opportunities for drug development.
  • Findings address the global clinical challenge posed by osteoarthritis.
  • Enhanced understanding of OA molecular basis facilitates the development of disease-stratifying tools.