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Related Concept Videos

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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Genome-wide Association Studies-GWAS01:11

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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.
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Heritability01:06

Heritability

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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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Overview
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Relative Risk01:12

Relative Risk

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Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
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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.
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Updated: Jul 9, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Polygenic risk scores.

Matthew A Brown1

  • 1Chief Scientific Officer, Genomics England, Charterhouse Square, London, England, United Kingdom; Professor of Medicine, King's College London, London, England, United Kingdom.

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|December 2, 2023
PubMed
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Polygenic risk scores (PRS) show promise for predicting rheumatic diseases, outperforming some biomarkers. Further research is needed to confirm their clinical utility across diverse populations.

Keywords:
Early diagnosisGeneticHeritablePolygenic risk scorePrediction

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Area of Science:

  • Genetics
  • Rheumatology
  • Biomarkers

Background:

  • Polygenic risk scores (PRS) estimate genetic predisposition to diseases.
  • For rheumatic diseases, PRS demonstrate strong discriminatory capacity, sometimes exceeding current biomarkers.
  • PRS are independent of disease presence or activity, aiding prediction and early diagnosis.

Purpose of the Study:

  • To evaluate the utility of PRS in clinical settings.
  • To compare PRS performance against existing diagnostic tests.
  • To assess PRS applicability in non-European ancestral populations.

Main Methods:

  • Development of PRS in research settings.
  • Validation studies in diverse populations.
  • Comparative analysis with established biomarkers and diagnostic methods.

Main Results:

  • PRS show high discriminatory capacity for rheumatic diseases.
  • Potential for PRS to predict disease development and enable early diagnosis.
  • Current PRS development is primarily based on European-ancestry populations.

Conclusions:

  • PRS hold significant potential for clinical application in rheumatology.
  • Further validation in diverse populations and clinical settings is crucial.
  • Widespread availability of PRS is anticipated, offering benefits to medical practice.