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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

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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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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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
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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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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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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Challenges and Opportunities for Developing More Generalizable Polygenic Risk Scores.

Ying Wang1,2, Kristin Tsuo1,2,3, Masahiro Kanai1,2,4,5

  • 1Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA;

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Summary

Polygenic risk scores (PRS) predict disease risk by analyzing genetic variants. Current PRS show limited generalizability across diverse populations, but efforts are underway to improve their accuracy and implementation.

Keywords:
PRS generalizabilityclinical translation of PRSdiverse ancestry populationsgenetic risk predictionpolygenic risk scores (PRS)

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Area of Science:

  • Genetics
  • Biomarkers
  • Preventative Medicine

Background:

  • Polygenic risk scores (PRS) aggregate genetic variants to estimate individual disease likelihood.
  • PRS are utilized in research for predicting various complex traits and diseases.
  • Potential applications as biomarkers in preventative medicine are being explored.

Purpose of the Study:

  • Discuss current progress in PRS development.
  • Analyze factors affecting PRS generalizability across diverse ancestries and cohorts.
  • Identify promising strategies for enhancing PRS accuracy, portability, and clinical implementation.

Main Methods:

  • Review of current literature on polygenic risk score development.
  • Analysis of factors impacting generalizability, including ancestry and cohort diversity.
  • Exploration of methodological advancements and data generation initiatives.

Main Results:

  • PRS demonstrate predictive capability for a wide range of diseases.
  • A significant limitation of current PRS is their poor generalizability across diverse populations.
  • Ongoing efforts focus on improving PRS performance through methodological and data-driven approaches.

Conclusions:

  • Improving PRS generalizability is crucial for equitable clinical implementation.
  • Further research is needed to establish absolute risk communication for patients.
  • Advancements in methodology and data are key to enhancing PRS accuracy and portability.