Related Experiment Video
Updated: May 3, 2026
05:53
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
9.2K
SITDEM: a simulation tool for disease/endpoint models of association studies based on single nucleotide polymorphism
1Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
Computers in Biology and Medicine
|February 1, 2014
Summary
This study introduces SITDEM, a web application for simulating genotype data using only observed parameters from genome-wide association studies (GWAS). SITDEM aids in understanding SNP associations and estimating required sample sizes for significant findings.
Area of Science:
- Genomics
- Statistical Genetics
- Bioinformatics
Background:
- Genome-wide association studies (GWAS) are crucial for identifying genetic susceptibility and biomarkers.
- Existing genomic data simulation methods often require large reference datasets, limiting their applicability.
- Few simulation tools utilize experimental results or observed parameters.
Purpose of the Study:
- To develop SITDEM, a web application for simulating disease/endpoint models using GWAS observed parameters.
- To provide a flexible simulation approach independent of large-scale genomic data.
- To facilitate the investigation of relationships between SNP parameters and statistical significance.
Main Methods:
- Developed a web application, SITDEM, for simulating genotype data.
- Implemented three distinct simulation approaches based on observed GWAS parameters.
- Computed genotype probabilities to randomly sample simulation data.
- Visualized simulation results as p-value versus odds ratio/relative risk for SNPs in dominant and recessive models.
Main Results:
- Demonstrated SITDEM's capability for simulating genotype data based on observed parameters.
- Showcased simulation outputs illustrating SNP associations and significance thresholds.
- Validated the utility of SITDEM for exploring parameter-SNP relationships.
Conclusions:
- SITDEM offers a valuable tool for simulating genotype data using readily available GWAS parameters.
- The application can assist in estimating the number of single nucleotide polymorphisms (SNPs) needed for significant p-values in multiple comparisons.
- SITDEM is freely accessible, promoting wider use in genetic susceptibility research.
Related Concept Videos
01:12Statistical Software for Data Analysis and Clinical Trials
1.7K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.7K
01:11Genome-wide Association Studies-GWAS
12.6K
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...
GWAS does not require the identification of the target gene involved in...
12.6K
01:05Single Nucleotide Polymorphisms-SNPs
14.6K
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,...
14.6K
01:12Analysis of Population Pharmacokinetic Data
996
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...
996
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
359
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
359