Literature DB >> 12952879

Haplotype information and linkage disequilibrium mapping for single nucleotide polymorphisms.

Xin Lu1, Tianhua Niu, Jun S Liu.   

Abstract

Single nucleotide polymorphisms in the human genome have become an increasingly popular topic in that their analyses promise to be a key step toward personalized medicine. We investigate two related questions, how much the haplotype information contributes to linkage disequilibrium (LD) mapping and whether an in silico haplotype construction preceding the LD analysis can help. For disease gene mapping, using both simulated and real data sets on cystic fibrosis and the Alzheimer disease, we reached the following conclusions: (1) for simple Mendelian diseases, in which case a tractable full statistical model can be developed, the loss of haplotype information for either control or disease data do not have a great impact on LD fine mapping, and haplotype inference should be carried out jointly with LD mapping; (2) for complex diseases, inferring haplotype phases for individuals prior to LD mapping helps achieve a better accuracy. An improved version of the linkage disequilibrium mapping program, BLADE v2, is available at http://www.fas.harvard.edu/junliu/TechRept/03folder/bladev2.tgz.

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Year:  2003        PMID: 12952879      PMCID: PMC403705          DOI: 10.1101/gr.586803

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


  27 in total

1.  Assessment of linkage disequilibrium by the decay of haplotype sharing, with application to fine-scale genetic mapping.

Authors:  M S McPeek; A Strahs
Journal:  Am J Hum Genet       Date:  1999-09       Impact factor: 11.025

2.  GOLD--graphical overview of linkage disequilibrium.

Authors:  G R Abecasis; W O Cookson
Journal:  Bioinformatics       Date:  2000-02       Impact factor: 6.937

3.  Loss of information due to ambiguous haplotyping of SNPs.

Authors:  S E Hodge; M Boehnke; M A Spence
Journal:  Nat Genet       Date:  1999-04       Impact factor: 38.330

Review 4.  Inference of haplotypes from PCR-amplified samples of diploid populations.

Authors:  A G Clark
Journal:  Mol Biol Evol       Date:  1990-03       Impact factor: 16.240

5.  The apolipoprotein E polymorphism in Greenland Inuit in its global perspective.

Authors:  L U Gerdes; C Gerdes; P S Hansen; I C Klausen; O Faergeman; J Dyerberg
Journal:  Hum Genet       Date:  1996-11       Impact factor: 4.132

6.  HAPLO: a program using the EM algorithm to estimate the frequencies of multi-site haplotypes.

Authors:  M E Hawley; K K Kidd
Journal:  J Hered       Date:  1995 Sep-Oct       Impact factor: 2.645

7.  Maximum-likelihood estimation of molecular haplotype frequencies in a diploid population.

Authors:  L Excoffier; M Slatkin
Journal:  Mol Biol Evol       Date:  1995-09       Impact factor: 16.240

8.  An E-M algorithm and testing strategy for multiple-locus haplotypes.

Authors:  J C Long; R C Williams; M Urbanek
Journal:  Am J Hum Genet       Date:  1995-03       Impact factor: 11.025

9.  SNPing away at complex diseases: analysis of single-nucleotide polymorphisms around APOE in Alzheimer disease.

Authors:  E R Martin; E H Lai; J R Gilbert; A R Rogala; A J Afshari; J Riley; K L Finch; J F Stevens; K J Livak; B D Slotterbeck; S H Slifer; L L Warren; P M Conneally; D E Schmechel; I Purvis; M A Pericak-Vance; A D Roses; J M Vance
Journal:  Am J Hum Genet       Date:  2000-06-21       Impact factor: 11.025

10.  Fine genetic mapping using haplotype analysis and the missing data problem.

Authors:  M N Chiano; D G Clayton
Journal:  Ann Hum Genet       Date:  1998-01       Impact factor: 1.670

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  10 in total

1.  Little loss of information due to unknown phase for fine-scale linkage-disequilibrium mapping with single-nucleotide-polymorphism genotype data.

Authors:  A P Morris; J C Whittaker; D J Balding
Journal:  Am J Hum Genet       Date:  2004-04-07       Impact factor: 11.025

2.  Haplotype structure and phenotypic associations in the chromosomal regions surrounding two Arabidopsis thaliana flowering time loci.

Authors:  Jenny Hagenblad; Chunlao Tang; John Molitor; Jonathan Werner; Keyan Zhao; Honggang Zheng; Paul Marjoram; Detlef Weigel; Magnus Nordborg
Journal:  Genetics       Date:  2004-11       Impact factor: 4.562

3.  Coalescent-based association mapping and fine mapping of complex trait loci.

Authors:  Sebastian Zöllner; Jonathan K Pritchard
Journal:  Genetics       Date:  2004-10-16       Impact factor: 4.562

4.  High throughput SNP and expression analyses of candidate genes for non-syndromic oral clefts.

Authors:  J W Park; J Cai; I McIntosh; E W Jabs; M D Fallin; R Ingersoll; J B Hetmanski; M Vekemans; T Attie-Bitach; M Lovett; A F Scott; T H Beaty
Journal:  J Med Genet       Date:  2006-01-13       Impact factor: 6.318

5.  Performance of single nucleotide polymorphisms versus haplotypes for genome-wide association analysis in barley.

Authors:  Aaron J Lorenz; Martha T Hamblin; Jean-Luc Jannink
Journal:  PLoS One       Date:  2010-11-22       Impact factor: 3.240

6.  A survey of current software for haplotype phase inference.

Authors:  Michael E Weale
Journal:  Hum Genomics       Date:  2004-01       Impact factor: 4.639

Review 7.  A survey of current Bayesian gene mapping methods.

Authors:  John Molitor; Paul Marjoram; David Conti; Duncan Thomas
Journal:  Hum Genomics       Date:  2004-08       Impact factor: 4.639

8.  A class representative model for Pure Parsimony Haplotyping under uncertain data.

Authors:  Daniele Catanzaro; Martine Labbé; Luciano Porretta
Journal:  PLoS One       Date:  2011-03-25       Impact factor: 3.240

9.  Fine mapping--19th century style.

Authors:  John Molitor; Keyan Zhao; Paul Marjoram
Journal:  BMC Genet       Date:  2005-12-30       Impact factor: 2.797

10.  Incorporating single-locus tests into haplotype cladistic analysis in case-control studies.

Authors:  Jianfeng Liu; Chris Papasian; Hong-Wen Deng
Journal:  PLoS Genet       Date:  2007-03-23       Impact factor: 5.917

  10 in total

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