Literature DB >> 16960800

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

Chao Tian1, David A Hinds, Russell Shigeta, Rick Kittles, Dennis G Ballinger, Michael F Seldin.   

Abstract

Admixture mapping requires a genomewide panel of relatively evenly spaced markers that can distinguish the ancestral origins of chromosomal segments in admixed individuals. Through use of the results of the International HapMap Project and specific selection criteria, the current study has examined the ability of selected single-nucleotide polymorphisms (SNPs) to extract continental ancestry information in African American subjects and to explore parameters for admixture mapping. Genotyping of two linguistically diverse West African populations (Bini and Kanuri Nigerians, who are Niger-Congo [Bantu] and Nilo-Saharan speakers, respectively), European Americans, and African Americans validated a genomewide set of >4,000 SNP ancestry-informative markers with mean and median F(ST) values >0.59 and mean and median Fisher's information content >2.5. This set of SNPs extracted a larger amount of ancestry information in African Americans than previously reported SNP panels and provides nearly uniform coverage of the genome. Moreover, in the current study, simulations show that this more informative panel improves power for admixture mapping in African Americans when ethnicity risk ratios are modest. This is particularly important in the application of admixture mapping in complex genetic diseases for which only modest ethnicity risk ratios of relevant susceptibility genes are expected.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16960800      PMCID: PMC1592561          DOI: 10.1086/507954

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  36 in total

1.  Putative ancestral origins of chromosomal segments in individual african americans: implications for admixture mapping.

Authors:  Michael F Seldin; Takanobu Morii; Heather E Collins-Schramm; Bill Chima; Rick Kittles; Lindsey A Criswell; Hongzhe Li
Journal:  Genome Res       Date:  2004-05-12       Impact factor: 9.043

2.  A hidden Markov modeling approach for admixture mapping based on case-control data.

Authors:  Chun Zhang; Kun Chen; Michael F Seldin; Hongzhe Li
Journal:  Genet Epidemiol       Date:  2004-11       Impact factor: 2.135

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.  The genetic structure of admixed populations.

Authors:  J C Long
Journal:  Genetics       Date:  1991-02       Impact factor: 4.562

5.  Estimating African American admixture proportions by use of population-specific alleles.

Authors:  E J Parra; A Marcini; J Akey; J Martinson; M A Batzer; R Cooper; T Forrester; D B Allison; R Deka; R E Ferrell; M D Shriver
Journal:  Am J Hum Genet       Date:  1998-12       Impact factor: 11.025

6.  Mapping genes that underlie ethnic differences in disease risk: methods for detecting linkage in admixed populations, by conditioning on parental admixture.

Authors:  P M McKeigue
Journal:  Am J Hum Genet       Date:  1998-07       Impact factor: 11.025

Review 7.  Linkage disequilibrium mapping of complex disease: fantasy or reality?

Authors:  J D Terwilliger; K M Weiss
Journal:  Curr Opin Biotechnol       Date:  1998-12       Impact factor: 9.740

8.  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

9.  Comprehensive human genetic maps: individual and sex-specific variation in recombination.

Authors:  K W Broman; J C Murray; V C Sheffield; R L White; J L Weber
Journal:  Am J Hum Genet       Date:  1998-09       Impact factor: 11.025

10.  Mapping by admixture linkage disequilibrium in human populations: limits and guidelines.

Authors:  J C Stephens; D Briscoe; S J O'Brien
Journal:  Am J Hum Genet       Date:  1994-10       Impact factor: 11.025

View more
  109 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.  Five years of GWAS discovery.

Authors:  Peter M Visscher; Matthew A Brown; Mark I McCarthy; Jian Yang
Journal:  Am J Hum Genet       Date:  2012-01-13       Impact factor: 11.025

3.  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

4.  Detecting directional selection in the presence of recent admixture in African-Americans.

Authors:  Kirk E Lohmueller; Carlos D Bustamante; Andrew G Clark
Journal:  Genetics       Date:  2010-12-31       Impact factor: 4.562

5.  Genotyping of 75 SNPs using arrays for individual identification in five population groups.

Authors:  Hsiao-Lin Hwa; Lawrence Shih Hsin Wu; Chun-Yen Lin; Tsun-Ying Huang; Hsiang-I Yin; Li-Hui Tseng; James Chun-I Lee
Journal:  Int J Legal Med       Date:  2015-08-22       Impact factor: 2.686

6.  Association of variants in DRD2 and GRM3 with motor and cognitive function in first-episode psychosis.

Authors:  Rebekka Lencer; Jeffrey R Bishop; Margret S H Harris; James L Reilly; Shitalben Patel; Rick Kittles; Konasale M Prasad; Vishwajit L Nimgaonkar; Matcheri S Keshavan; John A Sweeney
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2013-10-25       Impact factor: 5.270

7.  Ancestry informative marker panels for African Americans based on subsets of commercially available SNP arrays.

Authors:  Arti Tandon; Nick Patterson; David Reich
Journal:  Genet Epidemiol       Date:  2011-01       Impact factor: 2.135

8.  Joint testing of genotype and ancestry association in admixed families.

Authors:  Hua Tang; David O Siegmund; Nicholas A Johnson; Isabelle Romieu; Stephanie J London
Journal:  Genet Epidemiol       Date:  2010-12       Impact factor: 2.135

9.  Evidence of uneven selective pressure on different subsets of the conserved human genome; implications for the significance of intronic and intergenic DNA.

Authors:  Scott Davidson; Andrew Starkey; Alasdair MacKenzie
Journal:  BMC Genomics       Date:  2009-12-16       Impact factor: 3.969

10.  Interaction among variant vascular endothelial growth factor (VEGF) and its receptor in relation to prostate cancer risk.

Authors:  Tiva T VanCleave; Jason H Moore; Marnita L Benford; Guy N Brock; Ted Kalbfleisch; Richard N Baumgartner; James W Lillard; Rick A Kittles; La Creis R Kidd
Journal:  Prostate       Date:  2010-03-01       Impact factor: 4.104

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.