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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...
Genetic Screens02:46

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
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Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
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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.
The complex relationship between genetics and psychology is observable through common biological components such...
What is Population Genetics?01:25

What is Population Genetics?

A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.While some alleles of a given gene might be observed commonly, other variants...
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

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.
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Infinium Assay for Large-scale SNP Genotyping Applications
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Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

HAPSIMU: a genetic simulation platform for population-based association studies.

Feng Zhang1, Jianfeng Liu, Jie Chen

  • 1Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, PR China. fzhxjtu@gmail.com

BMC Bioinformatics
|August 7, 2008
PubMed
Summary
This summary is machine-generated.

Population structure impacts human disease studies. We created HAPSIMU, a genetic simulation platform, to assess population structure effects on population-based association studies (PBAS) and compare analytical methods.

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Area of Science:

  • Genetics
  • Population Genetics
  • Statistical Genetics

Background:

  • Population structure is a significant confounder in population-based association studies (PBAS) for human diseases.
  • Existing statistical methods aim to mitigate population structure's impact on PBAS.
  • Evaluating population structure's true effect is challenging due to limited information in real-world populations.

Purpose of the Study:

  • To develop a versatile genetic simulation platform for evaluating population structure's impact on PBAS.
  • To provide a standardized tool for comparing different PBAS and population structure identification methods.

Main Methods:

  • Developed HAPSIMU, a genetic simulation platform utilizing real haplotype data from the HapMap ENCODE project.
  • Simulated heterogeneous populations with defined structures under continuous or discrete migration models.
  • Enabled simulation of both qualitative and quantitative traits using an additive genetic model with user-defined parameters.

Main Results:

  • HAPSIMU successfully simulates diverse population structures and genetic models.
  • The platform allows for controlled investigation of population structure's influence on genetic association studies.
  • Facilitates comparative analysis of various statistical approaches for handling population structure.

Conclusions:

  • HAPSIMU serves as a crucial platform for understanding population structure's role in PBAS.
  • Enables rigorous comparison of methods designed to identify population structure and perform association studies.
  • A valuable resource for advancing the accuracy and reliability of human disease genetic research.