Literature DB >> 12615007

Using haplotype blocks to map human complex trait loci.

Lon R Cardon1, Gonçalo R Abecasis.   

Abstract

Understanding of linkage disequilibrium (LD) in human populations could facilitate the discovery of genes that influence complex human diseases. The "HapMap" project is now underway to characterize patterns of LD in the human genome. A pilot study showed "haplotype blocks" in 51 regions scattered throughout the genome. These intriguing results raise important questions about the nature of recombination, and highlight practical issues of marker collection, the influence of statistical modelling on apparent block structure, and the levels of genotyping necessary for studies of common diseases. Knowledge of local disequilibrium patterns may help identify common polymorphisms involved in complex disease, but completely new analytical methods and experimental designs will be required to identify important rare variants.

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Year:  2003        PMID: 12615007     DOI: 10.1016/S0168-9525(03)00022-2

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  80 in total

1.  Minimum description length block finder, a method to identify haplotype blocks and to compare the strength of block boundaries.

Authors:  H Mannila; M Koivisto; M Perola; T Varilo; W Hennah; J Ekelund; M Lukk; L Peltonen; E Ukkonen
Journal:  Am J Hum Genet       Date:  2003-05-20       Impact factor: 11.025

Review 2.  Hot and cold spots of recombination in the human genome: the reason we should find them and how this can be achieved.

Authors:  Norman Arnheim; Peter Calabrese; Magnus Nordborg
Journal:  Am J Hum Genet       Date:  2003-05-22       Impact factor: 11.025

3.  Direct molecular haplotyping of long-range genomic DNA with M1-PCR.

Authors:  Chunming Ding; Charles R Cantor
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-11       Impact factor: 11.205

4.  Assessing the performance of the haplotype block model of linkage disequilibrium.

Authors:  Jeffrey D Wall; Jonathan K Pritchard
Journal:  Am J Hum Genet       Date:  2003-08-11       Impact factor: 11.025

5.  Does haplotype diversity predict power for association mapping of disease susceptibility?

Authors:  Weihua Zhang; Andrew Collins; Newton E Morton
Journal:  Hum Genet       Date:  2004-06-04       Impact factor: 4.132

6.  The effects of scale: variation in the APOA1/C3/A4/A5 gene cluster.

Authors:  Stephanie M Fullerton; Anne V Buchanan; Vibhor A Sonpar; Scott L Taylor; Joshua D Smith; Christopher S Carlson; Veikko Salomaa; Jari H Stengård; Eric Boerwinkle; Andrew G Clark; Deborah A Nickerson; Kenneth M Weiss
Journal:  Hum Genet       Date:  2004-04-24       Impact factor: 4.132

7.  The allele frequency spectrum in genome-wide human variation data reveals signals of differential demographic history in three large world populations.

Authors:  Gabor T Marth; Eva Czabarka; Janos Murvai; Stephen T Sherry
Journal:  Genetics       Date:  2004-01       Impact factor: 4.562

8.  Mapping rare and common causal alleles for complex human diseases.

Authors:  Soumya Raychaudhuri
Journal:  Cell       Date:  2011-09-30       Impact factor: 41.582

Review 9.  Phenotyping and genotyping neuropathic pain.

Authors:  Inna Belfer; Feng Dai
Journal:  Curr Pain Headache Rep       Date:  2010-06

10.  Power comparisons between similarity-based multilocus association methods, logistic regression, and score tests for haplotypes.

Authors:  Wan-Yu Lin; Daniel J Schaid
Journal:  Genet Epidemiol       Date:  2009-04       Impact factor: 2.135

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