Literature DB >> 12897771

Haplotype blocks and linkage disequilibrium in the human genome.

Jeffrey D Wall1, Jonathan K Pritchard.   

Abstract

There is great interest in the patterns and extent of linkage disequilibrium (LD) in humans and other species. Characterizing LD is of central importance for gene-mapping studies and can provide insights into the biology of recombination and human demographic history. Here, we review recent developments in this field, including the recently proposed 'haplotype-block' model of LD. We describe some of the recent data in detail and compare the observed patterns to those seen in simulations.

Entities:  

Mesh:

Year:  2003        PMID: 12897771     DOI: 10.1038/nrg1123

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  189 in total

Review 1.  Cytochrome P450 3A and their regulation.

Authors:  Oliver Burk; Leszek Wojnowski
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2003-10-21       Impact factor: 3.000

Review 2.  On the applicability of a haplotype map to un-assayed populations.

Authors:  Itsik Pe'er; Jacques S Beckmann
Journal:  Hum Genet       Date:  2003-10-25       Impact factor: 4.132

3.  Search for haplotype interactions that influence susceptibility to type 1 diabetes, through use of unphased genotype data.

Authors:  Jian Zhang; Faming Liang; Willem R M Dassen; Bart A J Veldman; Pieter A Doevendans; Mathisca De Gunst
Journal:  Am J Hum Genet       Date:  2003-11-21       Impact factor: 11.025

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.  Insights into recombination from patterns of linkage disequilibrium in humans.

Authors:  Susan E Ptak; Kristian Voelpel; Molly Przeworski
Journal:  Genetics       Date:  2004-05       Impact factor: 4.562

6.  Haplotype and missing data inference in nuclear families.

Authors:  Shin Lin; Aravinda Chakravarti; David J Cutler
Journal:  Genome Res       Date:  2004-07-15       Impact factor: 9.043

7.  Estimating recombination rates using three-site likelihoods.

Authors:  Jeffrey D Wall
Journal:  Genetics       Date:  2004-07       Impact factor: 4.562

8.  Pattern of sequence variation across 213 environmental response genes.

Authors:  Robert J Livingston; Andrew von Niederhausern; Anil G Jegga; Dana C Crawford; Christopher S Carlson; Mark J Rieder; Sivakumar Gowrisankar; Bruce J Aronow; Robert B Weiss; Deborah A Nickerson
Journal:  Genome Res       Date:  2004-09-13       Impact factor: 9.043

9.  Bayesian association-based fine mapping in small chromosomal segments.

Authors:  Mikko J Sillanpää; Madhuchhanda Bhattacharjee
Journal:  Genetics       Date:  2004-09-15       Impact factor: 4.562

10.  Application of coalescent methods to reveal fine-scale rate variation and recombination hotspots.

Authors:  Paul Fearnhead; Rosalind M Harding; Julie A Schneider; Simon Myers; Peter Donnelly
Journal:  Genetics       Date:  2004-08       Impact factor: 4.562

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.