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Items: 1 to 20 of 92

1.

The Population Reference Sample, POPRES: a resource for population, disease, and pharmacological genetics research.

Nelson MR, Bryc K, King KS, Indap A, Boyko AR, Novembre J, Briley LP, Maruyama Y, Waterworth DM, Waeber G, Vollenweider P, Oksenberg JR, Hauser SL, Stirnadel HA, Kooner JS, Chambers JC, Jones B, Mooser V, Bustamante CD, Roses AD, Burns DK, Ehm MG, Lai EH.

Am J Hum Genet. 2008 Sep;83(3):347-58. doi: 10.1016/j.ajhg.2008.08.005. Epub 2008 Aug 28.

2.

Using population mixtures to optimize the utility of genomic databases: linkage disequilibrium and association study design in India.

Pemberton TJ, Jakobsson M, Conrad DF, Coop G, Wall JD, Pritchard JK, Patel PI, Rosenberg NA.

Ann Hum Genet. 2008 Jul;72(Pt 4):535-46. doi: 10.1111/j.1469-1809.2008.00457.x. Epub 2007 May 30.

3.

Analysis of East Asia genetic substructure using genome-wide SNP arrays.

Tian C, Kosoy R, Lee A, Ransom M, Belmont JW, Gregersen PK, Seldin MF.

PLoS One. 2008;3(12):e3862. doi: 10.1371/journal.pone.0003862. Epub 2008 Dec 5.

4.

Genome-wide approaches to identify pharmacogenetic contributions to adverse drug reactions.

Nelson MR, Bacanu SA, Mosteller M, Li L, Bowman CE, Roses AD, Lai EH, Ehm MG.

Pharmacogenomics J. 2009 Feb;9(1):23-33. doi: 10.1038/tpj.2008.4. Epub 2008 Feb 26.

PMID:
18301416
5.

Geography and genography: prediction of continental origin using randomly selected single nucleotide polymorphisms.

Allocco DJ, Song Q, Gibbons GH, Ramoni MF, Kohane IS.

BMC Genomics. 2007 Mar 10;8:68.

6.

Ancestry informative marker sets for determining continental origin and admixture proportions in common populations in America.

Kosoy R, Nassir R, Tian C, White PA, Butler LM, Silva G, Kittles R, Alarcon-Riquelme ME, Gregersen PK, Belmont JW, De La Vega FM, Seldin MF.

Hum Mutat. 2009 Jan;30(1):69-78. doi: 10.1002/humu.20822.

7.

Sparse principal component analysis for identifying ancestry-informative markers in genome-wide association studies.

Lee S, Epstein MP, Duncan R, Lin X.

Genet Epidemiol. 2012 May;36(4):293-302. doi: 10.1002/gepi.21621. Epub 2012 Apr 16.

8.

Self-reported ethnicity, genetic structure and the impact of population stratification in a multiethnic study.

Wang H, Haiman CA, Kolonel LN, Henderson BE, Wilkens LR, Le Marchand L, Stram DO.

Hum Genet. 2010 Aug;128(2):165-77. doi: 10.1007/s00439-010-0841-4. Epub 2010 May 25.

9.

An ancestry informative marker set for determining continental origin: validation and extension using human genome diversity panels.

Nassir R, Kosoy R, Tian C, White PA, Butler LM, Silva G, Kittles R, Alarcon-Riquelme ME, Gregersen PK, Belmont JW, De La Vega FM, Seldin MF.

BMC Genet. 2009 Jul 24;10:39. doi: 10.1186/1471-2156-10-39.

10.

Interethnic comparisons of important pharmacology genes using SNP databases: potential application to drug regulatory assessments.

Chen J, Teo YY, Toh DS, Sung C.

Pharmacogenomics. 2010 Aug;11(8):1077-94. doi: 10.2217/pgs.10.79.

PMID:
20712526
11.

FastPop: a rapid principal component derived method to infer intercontinental ancestry using genetic data.

Li Y, Byun J, Cai G, Xiao X, Han Y, Cornelis O, Dinulos JE, Dennis J, Easton D, Gorlov I, Seldin MF, Amos CI.

BMC Bioinformatics. 2016 Mar 9;17:122. doi: 10.1186/s12859-016-0965-1.

12.

A genomewide admixture mapping panel for Hispanic/Latino populations.

Mao X, Bigham AW, Mei R, Gutierrez G, Weiss KM, Brutsaert TD, Leon-Velarde F, Moore LG, Vargas E, McKeigue PM, Shriver MD, Parra EJ.

Am J Hum Genet. 2007 Jun;80(6):1171-8. Epub 2007 Apr 20.

13.

Application of principal component analysis to pharmacogenomic studies in Canada.

Visscher H, Ross CJ, Dubé MP, Brown AM, Phillips MS, Carleton BC, Hayden MR.

Pharmacogenomics J. 2009 Dec;9(6):362-72. doi: 10.1038/tpj.2009.36. Epub 2009 Aug 4.

PMID:
19652663
14.

Estimating kinship in admixed populations.

Thornton T, Tang H, Hoffmann TJ, Ochs-Balcom HM, Caan BJ, Risch N.

Am J Hum Genet. 2012 Jul 13;91(1):122-38. doi: 10.1016/j.ajhg.2012.05.024. Epub 2012 Jun 28.

15.

A generic coalescent-based framework for the selection of a reference panel for imputation.

Paşaniuc B, Avinery R, Gur T, Skibola CF, Bracci PM, Halperin E.

Genet Epidemiol. 2010 Dec;34(8):773-82. doi: 10.1002/gepi.20505.

16.

Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies.

Hao K, Chudin E, McElwee J, Schadt EE.

BMC Genet. 2009 Jun 16;10:27. doi: 10.1186/1471-2156-10-27.

17.

Association of genetic variations in HLA-B region with hypersensitivity to abacavir in some, but not all, populations.

Hughes AR, Mosteller M, Bansal AT, Davies K, Haneline SA, Lai EH, Nangle K, Scott T, Spreen WR, Warren LL, Roses AD; CNA30027 Study Team; CNA30032 Study Team.

Pharmacogenomics. 2004 Mar;5(2):203-11.

PMID:
15016610
18.

A genome-wide analysis of population structure in the Finnish Saami with implications for genetic association studies.

Huyghe JR, Fransen E, Hannula S, Van Laer L, Van Eyken E, Mäki-Torkko E, Aikio P, Sorri M, Huentelman MJ, Van Camp G.

Eur J Hum Genet. 2011 Mar;19(3):347-52. doi: 10.1038/ejhg.2010.179. Epub 2010 Dec 8.

19.

Improved ancestry inference using weights from external reference panels.

Chen CY, Pollack S, Hunter DJ, Hirschhorn JN, Kraft P, Price AL.

Bioinformatics. 2013 Jun 1;29(11):1399-406. doi: 10.1093/bioinformatics/btt144. Epub 2013 Mar 28.

20.

Using ancestry-informative markers to identify fine structure across 15 populations of European origin.

Huckins LM, Boraska V, Franklin CS, Floyd JA, Southam L; GCAN; WTCCC3, Sullivan PF, Bulik CM, Collier DA, Tyler-Smith C, Zeggini E, Tachmazidou I; GCAN; WTCCC3.

Eur J Hum Genet. 2014 Oct;22(10):1190-200. doi: 10.1038/ejhg.2014.1. Epub 2014 Feb 19.

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