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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...
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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,...
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.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism

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Related Experiment Video

Updated: May 28, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

Genome-wide association studies for bivariate sparse longitudinal data.

Kiranmoy Das1, Jiahan Li, Guifang Fu

  • 1Department of Statistics, Temple University, Philadelphia, Pa., USA. kiranmoy.das @ gmail.com

Human Heredity
|October 15, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a dynamic statistical model to identify genes influencing human blood pressure. The model effectively detects significant single nucleotide polymorphisms (SNPs) associated with systolic and diastolic blood pressure in both males and females.

Related Experiment Videos

Last Updated: May 28, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

Area of Science:

  • Genetics
  • Biostatistics
  • Cardiovascular Research

Background:

  • Traditional analysis of bivariate longitudinal data often uses separate models, potentially overlooking correlations between responses.
  • Analyzing correlated responses with a single model offers more powerful inference by appropriately modeling the relationship.

Purpose of the Study:

  • To propose a dynamic statistical model for detecting genes controlling human blood pressure (systolic and diastolic).
  • To enhance the analysis of bivariate longitudinal data in genetic association studies.

Main Methods:

  • Utilized orthogonal Legendre polynomials for the mean function and a stationary parametric structure for the covariance matrix.
  • Applied functional genome-wide association studies (fGWAS) to identify single nucleotide polymorphisms (SNPs) associated with blood pressure.
  • Employed the traditional false discovery rate for multiple comparison adjustments.

Main Results:

  • Analyzed Framingham Heart Study data, considering gender-gene interactions.
  • Identified 8 significant SNPs for males and 7 for females controlling blood pressure.
  • Presented genotype-specific mean curves and temporal additive/dominant effects for significant SNPs in both genders.

Conclusions:

  • The developed dynamic statistical model is effective for detecting genes associated with human blood pressure.
  • The model provides a powerful approach for analyzing correlated bivariate responses in genetic studies.
  • This methodology is broadly applicable to identifying genes controlling various human and non-human traits and diseases.