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Literature DB >> 16096110

Will admixture mapping work to find disease genes?

Abstract

Admixture mapping is the first experimentally practical method for carrying out a whole-genome association scan, and is thus a promising method for detecting risk factors for common disease. The goal of the community should now be to aggressively test whether the method is useful in practice for localizing disease genes, by carrying out at least three high-powered studies. We also propose a stringent criteria we believe the community should adopt before declaring a statistically significant admixture association to disease.

Mesh：

Year: 2005 PMID： 16096110 PMCID： PMC1609196 DOI： 10.1098/rstb.2005.1691

Source DB: PubMed Journal: Philos Trans R Soc Lond B Biol Sci ISSN： 0962-8436 Impact factor: 6.237

6 in total

1. Statistical tests for admixture mapping with case-control and cases-only data.

Authors: Giovanni Montana; Jonathan K Pritchard
Journal: Am J Hum Genet Date: 2004-09-22 Impact factor: 11.025

2. Design and analysis of admixture mapping studies.

Authors: C J Hoggart; M D Shriver; R A Kittles; D G Clayton; P M McKeigue
Journal: Am J Hum Genet Date: 2004-04-14 Impact factor: 11.025

Review 3. Prospects for admixture mapping of complex traits.

Authors: Paul M McKeigue
Journal: Am J Hum Genet Date: 2004-11-11 Impact factor: 11.025

4. Admixture mapping for hypertension loci with genome-scan markers.

Authors: Xiaofeng Zhu; Amy Luke; Richard S Cooper; Tom Quertermous; Craig Hanis; Tom Mosley; C Charles Gu; Hua Tang; Dabeeru C Rao; Neil Risch; Alan Weder
Journal: Nat Genet Date: 2005-01-23 Impact factor: 38.330

5. Methods for high-density admixture mapping of disease genes.

Authors: Nick Patterson; Neil Hattangadi; Barton Lane; Kirk E Lohmueller; David A Hafler; Jorge R Oksenberg; Stephen L Hauser; Michael W Smith; Stephen J O'Brien; David Altshuler; Mark J Daly; David Reich
Journal: Am J Hum Genet Date: 2004-04-14 Impact factor: 11.025

6. Measuring and using admixture to study the genetics of complex diseases.

Authors: Indrani Halder; Mark D Shriver
Journal: Hum Genomics Date: 2003-11 Impact factor: 4.639

6 in total

47 in total

1. Mapping genes that predict treatment outcome in admixed populations.

Authors: T M Baye; R A Wilke
Journal: Pharmacogenomics J Date: 2010-10-05 Impact factor: 3.550

2. Introduction: genetic variation and human health.

Authors: M P H Stumpf; D B Goldstein; N W Wood
Journal: Philos Trans R Soc Lond B Biol Sci Date: 2005-08-29 Impact factor: 6.237

3. Reconstructing genetic ancestry blocks in admixed individuals.

Authors: Hua Tang; Marc Coram; Pei Wang; Xiaofeng Zhu; Neil Risch
Journal: Am J Hum Genet Date: 2006-05-17 Impact factor: 11.025

4. A genomewide single-nucleotide-polymorphism panel with high ancestry information for African American admixture mapping.

Authors: Chao Tian; David A Hinds; Russell Shigeta; Rick Kittles; Dennis G Ballinger; Michael F Seldin
Journal: Am J Hum Genet Date: 2006-08-15 Impact factor: 11.025

Review 5. African Americans with asthma: genetic insights.

Authors: Kathleen C Barnes; Audrey V Grant; Nadia N Hansel; Peisong Gao; Georgia M Dunston
Journal: Proc Am Thorac Soc Date: 2007-01

6. Panel construction for mapping in admixed populations via expected mutual information.

Authors: Sivan Bercovici; Dan Geiger; Liran Shlush; Karl Skorecki; Alan Templeton
Journal: Genome Res Date: 2008-03-18 Impact factor: 9.043

7. Analysis of genomic admixture in Uyghur and its implication in mapping strategy.

Authors: Shuhua Xu; Wei Huang; Ji Qian; Li Jin
Journal: Am J Hum Genet Date: 2008-03-20 Impact factor: 11.025

8. African ancestry is associated with risk of asthma and high total serum IgE in a population from the Caribbean Coast of Colombia.

Authors: Candelaria Vergara; Luis Caraballo; Dilia Mercado; Silvia Jimenez; Winston Rojas; Nicholas Rafaels; Tracey Hand; Monica Campbell; Yuhjung J Tsai; Li Gao; Constanza Duque; Sergio Lopez; Gabriel Bedoya; Andrés Ruiz-Linares; Kathleen C Barnes
Journal: Hum Genet Date: 2009-03-17 Impact factor: 4.132

9. Inference of multiple-wave population admixture by modeling decay of linkage disequilibrium with polynomial functions.

Authors: Y Zhou; K Yuan; Y Yu; X Ni; P Xie; E P Xing; S Xu
Journal: Heredity (Edinb) Date: 2017-02-15 Impact factor: 3.821

10. Admixture mapping of ankle-arm index: identification of a candidate locus associated with peripheral arterial disease.

Authors: M L Scherer; M A Nalls; L Pawlikowska; E Ziv; G Mitchell; S Huntsman; D Hu; K Sutton-Tyrrell; E G Lakatta; W-C Hsueh; A B Newman; A Tandon; L Kim; P-Y Kwok; A Sung; R Li; B Psaty; A P Reiner; T Harris
Journal: J Med Genet Date: 2009-07-07 Impact factor: 6.318