Literature DB >> 16251460

Genetically indistinguishable SNPs and their influence on inferring the location of disease-associated variants.

Robert Lawrence1, David M Evans, Andrew P Morris, Xiayi Ke, Sarah Hunt, Marta Paolucci, Jiannis Ragoussis, Panos Deloukas, David Bentley, Lon R Cardon.   

Abstract

As part of a recent high-density linkage disequilibrium (LD) study of chromosome 20, we obtained genotypes for approximately 30,000 SNPs at a density of 1 SNP/2 kb on four different population samples (47 CEPH founders; 91 UK unrelateds [unrelated white individuals of western European ancestry]; 97 African Americans; 42 East Asians). We observed that approximately 50% of SNPs had at least one genetically indistinguishable partner; i.e., for every individual considered, their genotype at the first locus was identical to their genotype at the second locus, or in LD terms, the SNPs were in "perfect" LD (r2 = 1.0). These "genetically indistinguishable SNPs" (giSNPs) formed into clusters of varying size. The larger the cluster, the greater the tendency to be located within genes and to overlap with giSNP clusters in other population samples. As might be expected for this map density, many giSNPs were located close to one another, thus reflecting local regions of undetected recombination or haplotype blocks. However, approximately 1/3 of giSNP clusters had intermingled, non-indistinguishable SNPs with incomplete LD (D' and r2 <1), sometimes spanning hundreds of kilobases, comprising up to 70 indistinguishable markers and overlapping multiple haplotype blocks. These long-range, nonconsecutive giSNPs have implications for disease gene localization by allelic association as evidence for association at one locus will be indistinguishable from that at another locus, even though both loci may be situated far apart. We describe the distribution of giSNPs on this map of chromosome 20 and illustrate the potential impact they can have on association mapping.

Mesh:

Year:  2005        PMID: 16251460      PMCID: PMC1310638          DOI: 10.1101/gr.4217605

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  40 in total

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Review 3.  Using haplotype blocks to map human complex trait loci.

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4.  Chromosome-wide distribution of haplotype blocks and the role of recombination hot spots.

Authors:  M S Phillips; R Lawrence; R Sachidanandam; A P Morris; D J Balding; M A Donaldson; J F Studebaker; W M Ankener; S V Alfisi; F-S Kuo; A L Camisa; V Pazorov; K E Scott; B J Carey; J Faith; G Katari; H A Bhatti; J M Cyr; V Derohannessian; C Elosua; A M Forman; N M Grecco; C R Hock; J M Kuebler; J A Lathrop; M A Mockler; E P Nachtman; S L Restine; S A Varde; M J Hozza; C A Gelfand; J Broxholme; G R Abecasis; M T Boyce-Jacino; L R Cardon
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5.  Distribution of recombination crossovers and the origin of haplotype blocks: the interplay of population history, recombination, and mutation.

Authors:  Ning Wang; Joshua M Akey; Kun Zhang; Ranajit Chakraborty; Li Jin
Journal:  Am J Hum Genet       Date:  2002-10-15       Impact factor: 11.025

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Journal:  Nature       Date:  2002-07-10       Impact factor: 49.962

7.  Linkage disequilibrium patterns of the human genome across populations.

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Journal:  Bioinformatics       Date:  2003-01-22       Impact factor: 6.937

9.  Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease.

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Journal:  Nat Genet       Date:  2003-01-13       Impact factor: 38.330

10.  Optimal selection of SNP markers for disease association studies.

Authors:  Bjarni V Halldórsson; Sorin Istrail; Francisco M De La Vega
Journal:  Hum Hered       Date:  2004       Impact factor: 0.444

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  16 in total

1.  Linkage-disequilibrium-based binning affects the interpretation of GWASs.

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Journal:  Am J Hum Genet       Date:  2012-03-22       Impact factor: 11.025

2.  Sporadic, Global Linkage Disequilibrium Between Unlinked Segregating Sites.

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Journal:  Genetics       Date:  2015-12-29       Impact factor: 4.562

Review 3.  Prospects and pitfalls in whole genome association studies.

Authors:  Robert W Lawrence; David M Evans; Lon R Cardon
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-08-29       Impact factor: 6.237

4.  Leveraging genetic variability across populations for the identification of causal variants.

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Journal:  Am J Hum Genet       Date:  2010-01       Impact factor: 11.025

5.  Genetic architecture of transcript-level variation in humans.

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6.  From single-SNP to wide-locus: genome-wide association studies identifying functionally related genes and intragenic regions in small sample studies.

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7.  Identifying causal variants at loci with multiple signals of association.

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Review 8.  Determining causality and consequence of expression quantitative trait loci.

Authors:  A Battle; S B Montgomery
Journal:  Hum Genet       Date:  2014-04-26       Impact factor: 4.132

9.  DTNBP1 (Dystrobrevin binding protein 1) and schizophrenia: association evidence in the 3' end of the gene.

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Journal:  Hum Hered       Date:  2007-05-02       Impact factor: 0.444

10.  Genome wide high density SNP-based linkage analysis of childhood absence epilepsy identifies a susceptibility locus on chromosome 3p23-p14.

Authors:  Barry A Chioza; Jean Aicardi; Harald Aschauer; Oebele Brouwer; Petra Callenbach; Athanasios Covanis; Joseph M Dooley; Olivier Dulac; Martina Durner; Orvar Eeg-Olofsson; Martha Feucht; Mogens Laue Friis; Renzo Guerrini; Marianne Juel Kjeldsen; Rima Nabbout; Lina Nashef; Thomas Sander; Auli Sirén; Elaine Wirrell; Paul McKeigue; Robert Robinson; R Mark Gardiner; Kate V Everett
Journal:  Epilepsy Res       Date:  2009-10-17       Impact factor: 3.045

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