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A Practical Guide to Phylogenetics for Nonexperts
Published on: February 5, 2014
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Methods and models for unravelling human evolutionary history
Joshua G Schraiber1, Joshua M Akey1
1Department of Genome Sciences, University of Washington, 3720 15th Avenue NE, box 355065, Seattle, Washington 98195-5065, USA.
Nature Reviews. Genetics
|November 11, 2015
Summary
Human genomes reveal evolutionary history through DNA sequence variation. Analyzing large datasets with population genomics methods offers insights into past demographics and species evolution.
Area of Science:
- Genomics
- Evolutionary Biology
- Population Genetics
Background:
- Human genomes contain rich information about our species' evolutionary past.
- Advances in sequencing technology provide unprecedented opportunities to study human evolution.
- Understanding demographic history is key to interpreting genetic variation.
Purpose of the Study:
- To review how demographic history shapes DNA sequence variation.
- To discuss statistical methods for analyzing large-scale genomic data.
- To highlight insights and challenges in human evolutionary genomics.
Main Methods:
- Review of signatures of demographic history in DNA sequence variation.
- Examination of statistical and computational methods in population genomics.
- Analysis of large-scale genome sequencing datasets.
Main Results:
- Demographic history leaves detectable signatures on patterns of genetic variation.
- Various statistical methods are available to infer evolutionary history from genomic data.
- Exploratory data analysis is crucial for reliable population genomics inferences.
Conclusions:
- Genomic data offers powerful tools for reconstructing human evolutionary history.
- Careful application and understanding of population genomics methods are essential.
- Addressing data quality and confounding factors is critical for accurate inferences.
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