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Reconstructing the Genealogy of a BRCA1 Founder Mutation by Phylogenetic Analysis
- Source :
- Annals of Human Genetics. 72:310-318
- Publication Year :
- 2008
- Publisher :
- Wiley, 2008.
-
Abstract
- Estimating the age of founder mutations may contribute to improve our knowledge of population genetics and evolutionary history of diseases. Previous haplotype analysis suggested that the BRCA1*1499insA mutation was a founder allele, probably originated in Tuscany (Italy). Here, we collected additional pedigrees carrying this mutation, and applied a phylogenetic method for estimating mutation age. A chromosome segment of about 25 cM, including 37 short tandem repeats (STRs) on both sides of the BRCA1 gene (DeCode map), was typed in 50 subjects (28 mutation carriers) from 14 unrelated families. The time to the most recent common ancestor (MRCA) of the mutation carriers was estimated by the length of the shared haplotype between all possible pairs of individuals. A function relating the length of the shared haplotype to the time to the MRCA was obtained by a computer simulation. This approach gives results comparable with those of other existing mutation-dating methods, but does not depend explicitly on population-specific parameters such as allele frequencies, provides narrower confidence intervals (CI), and allows one to build an extended genealogical tree of all mutation carriers. The 1499insA mutation shared by the investigated subjects was estimated to be present in an individual living about 30 generations ago (95% CL 22-56), or 750 years (95% CL 550-1,400).
- Subjects :
- Genetics
Most recent common ancestor
Heterozygote
Time Factors
Models, Genetic
Phylogenetic tree
BRCA1 Protein
Haplotype
Population genetics
Pedigree chart
Biology
Founder Effect
Pedigree
Haplotypes
Genetic
Models
Mutation
Mutation (genetic algorithm)
genetics, Founder Effect, Haplotypes, Heterozygote, Humans, Models
Genetic, Mutation
genetics, Pedigree, Phylogeny, Time Factors
Humans
Allele frequency
Phylogeny
Genetics (clinical)
Founder effect
Subjects
Details
- ISSN :
- 14691809 and 00034800
- Volume :
- 72
- Database :
- OpenAIRE
- Journal :
- Annals of Human Genetics
- Accession number :
- edsair.doi.dedup.....6f092ad5754b7cbf5faaa820f4416f18
- Full Text :
- https://doi.org/10.1111/j.1469-1809.2007.00420.x