Literature DB >> 11063726

Integrated analysis of sequence evolution and population history using hypervariable compound haplotypes.

E J Rogers1, A C Shone, S Alonso, C A May, J A Armour.   

Abstract

We have examined compound haplotypes from a highly informative region of human chromosome 16, in which information from the rapid evolution of a highly unstable minisatellite is integrated with data on the longer-term evolution of this segment from 10 flanking substitutional polymorphisms. Combined with sequence data from non-human primates, analysis of relationships between these compound haplotypes allows the reconstruction of a rooted network of the evolutionary pathways between them. Most relationships can be explained via simple substitutional mutations, although the origins of some haplotypes involve recurrent events at a hotspot for substitutional mutation and/or gene conversion. For compound haplotypes including the minisatellite array, the network found in a range of world-wide populations constitutes a highly informative data set for the analysis of population history (437 different compound haplotypes were discriminated among 658 studied). Since the mutation rates and processes of the minisatellite array are known from direct studies, ages for individual lineages have been estimated using associated minisatellite diversity. These analyses suggest that the higher information content and sampling depth of these compound haplotypes may allow more precise calibration of lineage ages than is possible using coalescent analysis of DNA sequence. Using this method we have dated the oldest Eurasian lineage as 52,000-66,000 years and the oldest European specific lineage as 37,600-56,200 years.

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Year:  2000        PMID: 11063726     DOI: 10.1093/hmg/9.18.2675

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  4 in total

1.  SNPSTRs: empirically derived, rapidly typed, autosomal haplotypes for inference of population history and mutational processes.

Authors:  Joanna L Mountain; Alec Knight; Matthew Jobin; Christopher Gignoux; Adam Miller; Alice A Lin; Peter A Underhill
Journal:  Genome Res       Date:  2002-11       Impact factor: 9.043

2.  Inferring human population sizes, divergence times and rates of gene flow from mitochondrial, X and Y chromosome resequencing data.

Authors:  Daniel Garrigan; Sarah B Kingan; Maya M Pilkington; Jason A Wilder; Murray P Cox; Himla Soodyall; Beverly Strassmann; Giovanni Destro-Bisol; Peter de Knijff; Andrea Novelletto; Jonathan Friedlaender; Michael F Hammer
Journal:  Genetics       Date:  2007-12       Impact factor: 4.562

3.  WAMI: a web server for the analysis of minisatellite maps.

Authors:  Mohamed Abouelhoda; Mohamed El-Kalioby; Robert Giegerich
Journal:  BMC Evol Biol       Date:  2010-06-06       Impact factor: 3.260

4.  A highly variable segment of human subterminal 16p reveals a history of population growth for modern humans outstide Africa.

Authors:  S Alonso; J A Armour
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-30       Impact factor: 11.205

  4 in total

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