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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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Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
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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.
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Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
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Genetic Drift03:33

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Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.Life is not fair. A deer grazing contentedly in a field can have her meal cut tragically short by a bolt of lightning. If the doomed doe is one of only three in the population, 1/3 of the population’s gene pool is lost. Random events like this can...
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Incomplete Dominance

Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.

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Related Experiment Video

Updated: Jun 27, 2026

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)
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Genetic association analysis with FAMHAP: a major program update.

Christine Herold1, Tim Becker

  • 1Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn, Sigmund-Freud-Str. 25, D-53105 Bonn, Germany. herold@imbie.meb.uni-bonn.de

Bioinformatics (Oxford, England)
|November 19, 2008
PubMed
Summary

FAMHAP software now supports case-control data and genome-wide association studies (GWAS) with its new update and the runFamhap program. A graphical user interface (GUI) enhances usability for flexible haplotype analysis.

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Area of Science:

  • Genetics
  • Bioinformatics

Background:

  • FAMHAP is a software tool for haplotype association analysis in nuclear families.
  • A significant update introduces new features for case-control data analysis.
  • The availability of the software is detailed at http://famhap.meb.uni-bonn.de.

Purpose of the Study:

  • To introduce a major update to FAMHAP software with enhanced capabilities.
  • To present the new runFamhap program for repeated analysis across genetic marker sets.
  • To describe the development of a platform-independent graphical user interface (GUI) for improved usability.

Main Methods:

  • Incorporation of new features for case-control data analysis within FAMHAP.
  • Development of the runFamhap program to automate repetitive analyses.
  • Implementation of a user-friendly, platform-independent GUI for both FAMHAP and runFamhap.
  • Application of FAMHAP and runFamhap to HapMap data for demonstration.

Main Results:

  • FAMHAP now accommodates case-control association studies.
  • The runFamhap program enables flexible genome-wide haplotype analysis, facilitating GWAS.
  • The new GUI simplifies the utilization of FAMHAP and runFamhap.

Conclusions:

  • The updated FAMHAP software, along with runFamhap and a new GUI, significantly enhances haplotype association analysis capabilities.
  • These advancements streamline the application of FAMHAP for genome-wide association studies (GWAS).
  • The software provides a flexible and user-friendly platform for genetic marker analysis.