Literature DB >> 11295822

Allelic association with SNPs: metrics, populations, and the linkage disequilibrium map.

A Collins1, S Ennis, P Taillon-Miller, P Y Kwok, N E Morton.   

Abstract

Comparison of different metrics, using three large samples of haplotypes from different populations, demonstrates that rho is the most efficient measure of association between pairs of single nucleotide polymorphisms (SNPs). Pairwise data can be modeled, using composite likelihood, to describe the decline in linkage disequilibrium with distance (the Malecot model). The evidence from more isolated populations (Finland, Sardinia) suggests that linkage disequilibrium extends to 427-893 kb but, even in samples representative of large heterogeneous populations, such as CEPH, the extent is 385 kb or greater. This suggests that isolated populations are not essential for linkage disequilibrium mapping of common diseases with SNPs. The in parameter of the Malecot model (recombination and time), evaluated at each SNP, indicates regions of the genome with extensive and less extensive disequilibrium (low and high values of in respectively). When plotted against the physical map, the regions with extensive and less extensive linkage disequilibrium may correspond to recombination cold and hot spots. This is discussed in relation to the Xq25 cytogenetic band and the HFE gene region. Copyright 2001 Wiley-Liss, Inc.

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Year:  2001        PMID: 11295822     DOI: 10.1002/humu.21

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  6 in total

Review 1.  Genetic analysis of multiple sclerosis.

Authors:  Alastair Compston; Stephen Sawcer
Journal:  Curr Neurol Neurosci Rep       Date:  2002-05       Impact factor: 5.081

2.  Hierarchical modeling of linkage disequilibrium: genetic structure and spatial relations.

Authors:  David V Conti; John S Witte
Journal:  Am J Hum Genet       Date:  2003-01-13       Impact factor: 11.025

3.  Increased level of linkage disequilibrium in rural compared with urban communities: a factor to consider in association-study design.

Authors:  Veronique Vitart; Andrew D Carothers; Caroline Hayward; Peter Teague; Nicholas D Hastie; Harry Campbell; Alan F Wright
Journal:  Am J Hum Genet       Date:  2005-03-24       Impact factor: 11.025

4.  A major locus for hereditary prostate cancer in Finland: localization by linkage disequilibrium of a haplotype in the HPCX region.

Authors:  Agnes B Baffoe-Bonnie; Jeffrey R Smith; Dietrich A Stephan; Johanna Schleutker; John D Carpten; Tommi Kainu; Elizabeth M Gillanders; Mika Matikainen; Tanya M Teslovich; Teuvo Tammela; Raman Sood; Andrew M Balshem; Sheehan D Scarborough; Jianfeng Xu; William B Isaacs; Jeffrey M Trent; Olli-P Kallioniemi; Joan E Bailey-Wilson
Journal:  Hum Genet       Date:  2005-05-20       Impact factor: 4.132

5.  The map problem: a comparison of genetic and sequence-based physical maps.

Authors:  Andrew T DeWan; Antonio R Parrado; Tara C Matise; Suzanne M Leal
Journal:  Am J Hum Genet       Date:  2001-11-09       Impact factor: 11.025

Review 6.  Candidate genes and their interactions with other genetic/environmental risk factors in the etiology of schizophrenia.

Authors:  K M Prasad; M E Talkowski; K V Chowdari; L McClain; R H Yolken; V L Nimgaonkar
Journal:  Brain Res Bull       Date:  2009-09-01       Impact factor: 4.077

  6 in total

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