Literature DB >> 16012528

Mapping by admixture linkage disequilibrium: advances, limitations and guidelines.

Michael W Smith1, Stephen J O'Brien.   

Abstract

Mapping by admixture linkage disequilibrium (MALD) is a theoretically powerful, although unproven, approach to mapping genetic variants that are involved in human disease. MALD takes advantage of long-range haplotypes that are generated by gene flow among recently admixed ethnic groups, such as African-Americans and Latinos. Under ideal circumstances, MALD will have more power to detect some genetic variants than other types of genome-wide association study that are carried out among more ethnically homogeneous populations. It will also require 200-500 times fewer markers, providing a significant economic advantage. The MALD approach is now being applied, with results expected in the near future.

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Year:  2005        PMID: 16012528     DOI: 10.1038/nrg1657

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


  105 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

Review 2.  Genome-wide association studies of chronic kidney disease: what have we learned?

Authors:  Conall M O'Seaghdha; Caroline S Fox
Journal:  Nat Rev Nephrol       Date:  2011-12-06       Impact factor: 28.314

3.  Genome-wide detection of natural selection in African Americans pre- and post-admixture.

Authors:  Wenfei Jin; Shuhua Xu; Haifeng Wang; Yongguo Yu; Yiping Shen; Bailin Wu; Li Jin
Journal:  Genome Res       Date:  2011-11-29       Impact factor: 9.043

Review 4.  Speciation genetics: current status and evolving approaches.

Authors:  Jochen B W Wolf; Johan Lindell; Niclas Backström
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-06-12       Impact factor: 6.237

5.  Genome-wide association of anthropometric traits in African- and African-derived populations.

Authors:  Sun J Kang; Charleston W K Chiang; Cameron D Palmer; Bamidele O Tayo; Guillaume Lettre; Johannah L Butler; Rachel Hackett; Adebowale A Adeyemo; Candace Guiducci; Ilze Berzins; Thutrang T Nguyen; Tao Feng; Amy Luke; Daniel Shriner; Kristin Ardlie; Charles Rotimi; Rainford Wilks; Terrence Forrester; Colin A McKenzie; Helen N Lyon; Richard S Cooper; Xiaofeng Zhu; Joel N Hirschhorn
Journal:  Hum Mol Genet       Date:  2010-04-16       Impact factor: 6.150

6.  Inferring genetic ancestry: opportunities, challenges, and implications.

Authors:  Charmaine D Royal; John Novembre; Stephanie M Fullerton; David B Goldstein; Jeffrey C Long; Michael J Bamshad; Andrew G Clark
Journal:  Am J Hum Genet       Date:  2010-05-14       Impact factor: 11.025

7.  Ascertainment biases in SNP chips affect measures of population divergence.

Authors:  Anders Albrechtsen; Finn Cilius Nielsen; Rasmus Nielsen
Journal:  Mol Biol Evol       Date:  2010-06-17       Impact factor: 16.240

8.  Strong maternal Khoisan contribution to the South African coloured population: a case of gender-biased admixture.

Authors:  Lluis Quintana-Murci; Christine Harmant; Hélène Quach; Oleg Balanovsky; Valery Zaporozhchenko; Connie Bormans; Paul D van Helden; Eileen G Hoal; Doron M Behar
Journal:  Am J Hum Genet       Date:  2010-03-25       Impact factor: 11.025

9.  Translating associations between common kidney diseases and genetic variation into the clinic.

Authors:  Paul E Drawz; John R Sedor
Journal:  Semin Nephrol       Date:  2010-03       Impact factor: 5.299

10.  Genome-Wide Analysis of SNPs Is Consistent with No Domestic Dog Ancestry in the Endangered Mexican Wolf (Canis lupus baileyi).

Authors:  Robert R Fitak; Sarah E Rinkevich; Melanie Culver
Journal:  J Hered       Date:  2018-05-11       Impact factor: 2.645

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