Literature DB >> 10545759

Positional cloning of disease genes: advantages of genetic isolates.

L Peltonen1.   

Abstract

Genetic isolates with a history of a small founder population, long-lasting isolation and population bottlenecks represent exceptional resources in the identification of disease genes. Specific rare, monogenic diseases become enriched, and families with multiple affected individuals occur frequently enough to be used in linkage analyses for locus identification. Further, the vast majority of cases are caused by the same mutation, and disease alleles reveal linkage disequilibrium (LD) with markers over significant genetic intervals; this facilitates disease locus identification by similarity search for a shared genotype or haplotype in small study samples consisting of few affected individuals. LD observed in disease alleles adds power to linkage analyses and helps to define the exact location of disease loci on the genetic map. Typically, based on the linkage disequilibrium and the ancient haplotype, the critical DNA region can be defined from the original 1- to 2-cM resolution obtained in linkage analysis to 50-200 kb, greatly facilitating the targeting of physical cloning and sequencing efforts. These advantages have been well demonstrated in the positional cloning of several rare monogenic diseases enriched in population isolates like the example of Finland used here. How useful genetic isolates will prove to be in the identification of complex disease genes is dependent on the genealogical history of the isolate, including the size of the founding population and the expansion rate during the history of the population.

Mesh:

Year:  2000        PMID: 10545759     DOI: 10.1159/000022892

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  27 in total

1.  Predicting the range of linkage disequilibrium.

Authors:  J Ott
Journal:  Proc Natl Acad Sci U S A       Date:  2000-01-04       Impact factor: 11.205

2.  Extensive linkage disequilibrium in small human populations in Eurasia.

Authors:  Henrik Kaessmann; Sebastian Zöllner; Anna C Gustafsson; Victor Wiebe; Maris Laan; Joakim Lundeberg; Mathias Uhlén; Svante Pääbo
Journal:  Am J Hum Genet       Date:  2002-01-28       Impact factor: 11.025

Review 3.  Prospects of genetic epidemiology in the 21st century.

Authors:  Marieke C J Dekker; Cornelia M van Duijn
Journal:  Eur J Epidemiol       Date:  2003       Impact factor: 8.082

4.  Mapping genes of complex psychiatric diseases in Daghestan genetic isolates.

Authors:  Kazima B Bulayeva; Suzanne M Leal; Tatiana A Pavlova; Ruslan M Kurbanov; Stephen J Glatt; Oleg A Bulayev; Ming T Tsuang
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2005-01-05       Impact factor: 3.568

5.  Genomewide linkage analysis of bipolar disorder by use of a high-density single-nucleotide-polymorphism (SNP) genotyping assay: a comparison with microsatellite marker assays and finding of significant linkage to chromosome 6q22.

Authors:  F A Middleton; M T Pato; K L Gentile; C P Morley; X Zhao; A F Eisener; A Brown; T L Petryshen; A N Kirby; H Medeiros; C Carvalho; A Macedo; A Dourado; I Coelho; J Valente; M J Soares; C P Ferreira; M Lei; M H Azevedo; J L Kennedy; M J Daly; P Sklar; C N Pato
Journal:  Am J Hum Genet       Date:  2004-04-01       Impact factor: 11.025

6.  Power and precision of alternate methods for linkage disequilibrium mapping of quantitative trait loci.

Authors:  H H Zhao; R L Fernando; J C M Dekkers
Journal:  Genetics       Date:  2007-02-04       Impact factor: 4.562

7.  Association mapping of complex trait loci with context-dependent effects and unknown context variable.

Authors:  Mikko J Sillanpää; Madhuchhanda Bhattacharjee
Journal:  Genetics       Date:  2006-10-08       Impact factor: 4.562

8.  Comparing population structure as inferred from genealogical versus genetic information.

Authors:  Vincenza Colonna; Teresa Nutile; Ronald R Ferrucci; Giulio Fardella; Mario Aversano; Guido Barbujani; Marina Ciullo
Journal:  Eur J Hum Genet       Date:  2009-06-24       Impact factor: 4.246

9.  Genetic landscape of the people of India: a canvas for disease gene exploration.

Authors: 
Journal:  J Genet       Date:  2008-04       Impact factor: 1.166

10.  Assessing the genetic landscape of a contact zone: the case of European hare in northeastern Greece.

Authors:  Aglaia Antoniou; Antonios Magoulas; Petros Platis; Georgios Kotoulas
Journal:  Genetica       Date:  2013-02-05       Impact factor: 1.082

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