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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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 Genetics

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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Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

Practical issues in genome-wide association studies for physical activity.

Jaehee Kim1, Sohee Oh, Haesook Min

  • 1Interdisciplinary Program in Bioinformatics, Seoul National University, Kwan-ak St. 599, Kwan-ak Gu, Seoul, South Korea.

Annals of the New York Academy of Sciences
|July 29, 2011
PubMed
Summary

This study explores efficient genome-wide association studies (GWAS) for physical activity (PA) in the Korean population. It highlights key considerations for future research to uncover the genetic basis of PA.

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Area of Science:

  • Genetics
  • Human Physiology
  • Population Health

Background:

  • Genome-wide association studies (GWAS) are powerful tools for identifying genetic variants linked to complex traits.
  • Understanding the genetic underpinnings of physical activity (PA) is crucial for public health, yet few GWAS have focused on PA.
  • Practical challenges in conducting PA GWAS need addressing for more efficient discovery.

Purpose of the Study:

  • To provide an overview of practical considerations for conducting efficient genome-wide association studies (GWAS) focused on physical activity (PA).
  • To discuss key issues including phenotype definition, analysis methods, population stratification, replication strategies, and sample size requirements for PA GWAS.
  • To illustrate these issues using a large-scale dataset from the Korea Association REsource (KARE) project.

Main Methods:

  • Utilized a large-scale dataset from the Korea Association REsource (KARE) project, comprising 8,842 individuals.
  • Analyzed 352,228 single nucleotide polymorphism (SNP) markers.
  • Collected physical activity (PA) information through questionnaires and performed genome-wide association (GWA) analysis.

Main Results:

  • The study applied GWA analysis to identify genetic associations between PA and SNP markers within the Korean population.
  • Practical issues relevant to PA GWAS were discussed in the context of the KARE dataset.
  • The findings provide insights into the genetic architecture of physical activity.

Conclusions:

  • Efficient GWAS for PA requires careful consideration of phenotype definition, analytical approaches, and population-specific factors.
  • The KARE project dataset serves as a valuable resource for exploring the genetic basis of PA in the Korean population.
  • Further research with optimized methodologies is needed to fully elucidate the genetic determinants of physical activity.