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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...
Incomplete Dominance01:43

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.
Human Genetics01:28

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...
Pedigree Analysis01:35

Pedigree Analysis

Overview
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

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Related Experiment Video

Updated: May 30, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Identity by descent estimation with dense genome-wide genotype data.

Lide Han1, Mark Abney

  • 1Department of Human Genetics, University of Chicago, Illinois, USA.

Genetic Epidemiology
|July 20, 2011
PubMed
Summary

We developed IBDLD, a new method for estimating identity by descent (IBD) probabilities using dense genotype data. This approach is accurate, robust to pedigree errors, and handles complex relationships efficiently.

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Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

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Last Updated: May 30, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Estimating identity by descent (IBD) is crucial for genetic studies.
  • Existing methods struggle with large pedigrees and background linkage disequilibrium (LD).

Purpose of the Study:

  • To introduce IBDLD, a novel method for accurate IBD probability estimation.
  • To overcome limitations of current IBD estimation techniques in complex genetic data.

Main Methods:

  • IBDLD utilizes dense genotype data and complex pedigrees.
  • The method accommodates background linkage disequilibrium (LD).
  • It is robust to pedigree errors and relationship misspecifications.

Main Results:

  • IBDLD demonstrates higher accuracy than LD-pruning methods.
  • The method efficiently processes large datasets (hundreds of thousands of pairs).
  • It successfully identified misidentified relationships and estimated empirical kinship coefficients.

Conclusions:

  • IBDLD provides a fast, accurate, and robust solution for IBD estimation.
  • The method is valuable for genetic studies involving complex pedigrees and high-density genotype data.
  • IBDLD is available as open-source software.