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Related Concept Videos

DNA Isolation01:24

DNA Isolation

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DNA isolation protocols can be fast and straightforward or complex and time-consuming depending on the type and quality of DNA required for further processing. For example, plasmid DNA extraction is a bit more complicated than genomic DNA extraction because of the need for an appropriate lysis method to separate plasmid DNA from gDNA during isolation. However, for specific applications, such as long-range DNA sequencing that require a good yield of high- quality DNA samples, we need to follow...
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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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A method for positive forensic identification of samples from extremely low-coverage sequence data.

Samuel H Vohr1, Carlos Fernando Buen Abad Najar2, Beth Shapiro3

  • 1Department of Biomolecular Engineering, University of California, Santa Cruz, 1156 High St, Santa Cruz, CA, 95064, USA. svohr@ucsc.edu.

BMC Genomics
|December 9, 2015
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Summary
This summary is machine-generated.

A new method accurately identifies if DNA samples are from the same individual, even with limited DNA. This technique uses single nucleotide polymorphism (SNP) markers and linkage disequilibrium for reliable results with low-coverage DNA sequencing.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Forensic Science

Background:

  • Assessing DNA sample identity is challenging with limited DNA, common in ancient, historic, and forensic contexts.
  • Existing methods using multi-allelic markers fail with low DNA quantities.

Purpose of the Study:

  • To develop a novel method for determining if two DNA samples originate from the same individual using shotgun DNA sequence data.
  • To overcome limitations of current methods when dealing with minute DNA quantities.

Main Methods:

  • Utilizes extensive single nucleotide polymorphism (SNP) marker catalogs to maximize discriminatory allele observation.
  • Employs linkage disequilibrium patterns, modeled by haplotype reference panels, to indirectly compare linked SNP observations.
  • Applies coalescent simulations and real sequencing data from diverse sources for validation.

Main Results:

  • The new method accurately assesses DNA sample identity from low-coverage shotgun sequencing data (less than 1% genome coverage).
  • Demonstrates robustness concerning the reference panel used.
  • Successfully detects positive identity even with highly degraded or limited DNA samples.

Conclusions:

  • Presents a powerful new approach for DNA sample individualization.
  • Enables reliable DNA origin determination from minute DNA quantities, advancing forensic and ancient DNA analysis.