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Related Concept Videos

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...
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.

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Related Experiment Video

Updated: Jun 1, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

Evaluating relationship inference from low-quality DNA using a conditional simulation framework.

Alberte Honoré Jepsen1, Marie-Louise Kampmann1, Andreas Tillmar2

  • 1Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Forensic Science International. Genetics
|May 30, 2026
PubMed
Summary
This summary is machine-generated.

Investigative genetic genealogy (IGG) can now utilize DNA from single telogen hairs for kinship analysis. This study introduces a simulation framework and shows hair DNA, even with errors, supports accurate relationship inference with adjusted parameters.

Keywords:
Conditional simulationsHairInvestigative genetic genealogyMassively parallel sequencingRelationship inferenceWhole-genome sequencing

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In Vivo Modeling of the Morbid Human Genome using Danio rerio
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Published on: August 24, 2013

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Last Updated: Jun 1, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

Area of Science:

  • Genetics
  • Forensic Science
  • Bioinformatics

Background:

  • Genomic data is crucial for inferring genetic relationships in various fields.
  • Investigative genetic genealogy (IGG) is increasingly vital for forensic and population studies.
  • Low-quality DNA sources, like telogen hairs, present challenges for accurate kinship inference due to genotyping errors and incomplete data.

Purpose of the Study:

  • To introduce a conditional simulation framework for evaluating kinship inference under controlled conditions.
  • To demonstrate the utility of single telogen hairs for IGG by providing sufficient SNP data.
  • To quantify the impact of low-quality DNA on kinship inference.

Main Methods:

  • Developed a conditional simulation framework using high-quality genotypes to generate relatives of varying degrees.
  • Generated whole-genome SNP profiles from buccal swabs and telogen hair samples.
  • Utilized imputation to enhance SNP data from hair samples and compared profiles with simulated relatives.

Main Results:

  • >78% of target genotypes were recovered from hair samples via imputation, with >99% concordance to reference profiles.
  • Genotyping errors, primarily allelic dropouts, were observed but evenly distributed.
  • Hair-derived profiles generally supported accurate kinship classification, with improved accuracy after adjusting IBD detection parameters.

Conclusions:

  • A novel conditional simulation framework was developed to assess DNA quality/quantity impacts on kinship inference.
  • Single telogen hairs can provide sufficient SNP data for IGG applications.
  • Adjusting IBD detection parameters enhances classification accuracy for hair-derived DNA profiles.