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Related Concept Videos

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Updated: Mar 15, 2026

Optimized Bone Sampling Protocols for the Retrieval of Ancient DNA from Archaeological Remains
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Statistical methods for analyzing ancient DNA from hominins.

Montgomery Slatkin1

  • 1Department of Integrative Biology, University of California, Berkeley, CA 94720-3140, USA.

Current Opinion in Genetics & Development
|September 9, 2016
PubMed
Summary
This summary is machine-generated.

Statistical methods for analyzing ancient DNA (aDNA) from human fossils and archaic humans like Neanderthals and Denisovans are reviewed. The focus is on methods that account for the time dimension in aDNA analysis.

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Area of Science:

  • Paleogenomics
  • Evolutionary Biology
  • Bioinformatics

Background:

  • Explosive growth in autosomal DNA sequences from human fossils.
  • Availability of partial/complete sequences from Neanderthals and Denisovans.

Purpose of the Study:

  • Review commonly used statistical methods for ancient DNA (aDNA) sequence analysis.
  • Highlight methods that incorporate the time dimension in aDNA studies.

Main Methods:

  • Categorization of statistical methods into three classes: contamination estimation, descriptive, and population genetic models.
  • Analysis of how standard genomic methods are adapted for aDNA.
  • Examination of methods that explicitly consider sample age.

Main Results:

  • Many aDNA analyses utilize methods developed for present-day data, often ignoring the temporal aspect.
  • A subset of methods specifically addresses the time dimension for aDNA.

Conclusions:

  • Statistical analysis of aDNA is rapidly advancing.
  • Methods accounting for sample age are crucial for inferring selection and evolutionary relationships.