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1
Introduction
2
Large Genealogies
3
Data Scavengers
4
Iceland
5
Learning Relationships
6
Ponderosa
7
Identifying Closed Relatives
8
Reconstructing Relatives
9
Inference
10
French Canadian History
11
Quebec
12
How far does our genealogy extend
13
Long story short
14
Simulation Data
15
Why
16
Conclusion
Description:
Explore population genetics in large genealogies through this informative lecture by Simon Gravel at the Computational Genomics Summer Institute. Delve into the fascinating world of data scavenging, learning relationships, and identifying closed relatives using examples from Iceland and French Canadian history. Discover how genealogical data can be used to reconstruct relatives and make inferences about population dynamics. Examine the extent of genealogical records in Quebec and understand the importance of simulation data in population genetics research. Gain insights into the selective advantages of expanding populations and the transmission of rare alleles through large-scale genealogies.

Population Genetics in Large Genealogies

Computational Genomics Summer Institute CGSI
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