Literature DB >> 18760391

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

Matthew R Nelson1, Katarzyna Bryc, Karen S King, Amit Indap, Adam R Boyko, John Novembre, Linda P Briley, Yuka Maruyama, Dawn M Waterworth, Gérard Waeber, Peter Vollenweider, Jorge R Oksenberg, Stephen L Hauser, Heide A Stirnadel, Jaspal S Kooner, John C Chambers, Brendan Jones, Vincent Mooser, Carlos D Bustamante, Allen D Roses, Daniel K Burns, Margaret G Ehm, Eric H Lai.   

Abstract

Technological and scientific advances, stemming in large part from the Human Genome and HapMap projects, have made large-scale, genome-wide investigations feasible and cost effective. These advances have the potential to dramatically impact drug discovery and development by identifying genetic factors that contribute to variation in disease risk as well as drug pharmacokinetics, treatment efficacy, and adverse drug reactions. In spite of the technological advancements, successful application in biomedical research would be limited without access to suitable sample collections. To facilitate exploratory genetics research, we have assembled a DNA resource from a large number of subjects participating in multiple studies throughout the world. This growing resource was initially genotyped with a commercially available genome-wide 500,000 single-nucleotide polymorphism panel. This project includes nearly 6,000 subjects of African-American, East Asian, South Asian, Mexican, and European origin. Seven informative axes of variation identified via principal-component analysis (PCA) of these data confirm the overall integrity of the data and highlight important features of the genetic structure of diverse populations. The potential value of such extensively genotyped collections is illustrated by selection of genetically matched population controls in a genome-wide analysis of abacavir-associated hypersensitivity reaction. We find that matching based on country of origin, identity-by-state distance, and multidimensional PCA do similarly well to control the type I error rate. The genotype and demographic data from this reference sample are freely available through the NCBI database of Genotypes and Phenotypes (dbGaP).

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Year:  2008        PMID: 18760391      PMCID: PMC2556436          DOI: 10.1016/j.ajhg.2008.08.005

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


  32 in total

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Journal:  Genome Res       Date:  2000-04       Impact factor: 9.043

2.  Matching strategies for genetic association studies in structured populations.

Authors:  David A Hinds; Renee P Stokowski; Nila Patil; Karel Konvicka; David Kershenobich; David R Cox; Dennis G Ballinger
Journal:  Am J Hum Genet       Date:  2004-01-21       Impact factor: 11.025

3.  Genetic structure of human populations.

Authors:  Noah A Rosenberg; Jonathan K Pritchard; James L Weber; Howard M Cann; Kenneth K Kidd; Lev A Zhivotovsky; Marcus W Feldman
Journal:  Science       Date:  2002-12-20       Impact factor: 47.728

4.  A haplotype map of the human genome.

Authors: 
Journal:  Nature       Date:  2005-10-27       Impact factor: 49.962

5.  A unified mixed-model method for association mapping that accounts for multiple levels of relatedness.

Authors:  Jianming Yu; Gael Pressoir; William H Briggs; Irie Vroh Bi; Masanori Yamasaki; John F Doebley; Michael D McMullen; Brandon S Gaut; Dahlia M Nielsen; James B Holland; Stephen Kresovich; Edward S Buckler
Journal:  Nat Genet       Date:  2005-12-25       Impact factor: 38.330

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

Authors:  M R Nelson; S-A Bacanu; M Mosteller; L Li; C E Bowman; A D Roses; E H Lai; M G Ehm
Journal:  Pharmacogenomics J       Date:  2008-02-26       Impact factor: 3.550

7.  Ascertainment bias in studies of human genome-wide polymorphism.

Authors:  Andrew G Clark; Melissa J Hubisz; Carlos D Bustamante; Scott H Williamson; Rasmus Nielsen
Journal:  Genome Res       Date:  2005-11       Impact factor: 9.043

Review 8.  Genetic dissection of complex traits.

Authors:  E S Lander; N J Schork
Journal:  Science       Date:  1994-09-30       Impact factor: 47.728

9.  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

10.  Mapping multiple sclerosis susceptibility to the HLA-DR locus in African Americans.

Authors:  Jorge R Oksenberg; Lisa F Barcellos; Bruce A C Cree; Sergio E Baranzini; Teodorica L Bugawan; Omar Khan; Robin R Lincoln; Amy Swerdlin; Emmanuel Mignot; Ling Lin; Douglas Goodin; Henry A Erlich; Silke Schmidt; Glenys Thomson; David E Reich; Margaret A Pericak-Vance; Jonathan L Haines; Stephen L Hauser
Journal:  Am J Hum Genet       Date:  2003-12-10       Impact factor: 11.025

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  141 in total

1.  Dissecting the genetic make-up of North-East Sardinia using a large set of haploid and autosomal markers.

Authors:  Luba M Pardo; Giovanna Piras; Rosanna Asproni; Kristiaan J van der Gaag; Attilio Gabbas; Andres Ruiz-Linares; Peter de Knijff; Maria Monne; Patrizia Rizzu; Peter Heutink
Journal:  Eur J Hum Genet       Date:  2012-02-29       Impact factor: 4.246

2.  New insights into the Tyrolean Iceman's origin and phenotype as inferred by whole-genome sequencing.

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Journal:  Nat Commun       Date:  2012-02-28       Impact factor: 14.919

3.  A SPECTRAL GRAPH APPROACH TO DISCOVERING GENETIC ANCESTRY.

Authors:  Ann B Lee; Diana Luca; Kathryn Roeder
Journal:  Ann Appl Stat       Date:  2010       Impact factor: 2.083

4.  Colloquium paper: genome-wide patterns of population structure and admixture among Hispanic/Latino populations.

Authors:  Katarzyna Bryc; Christopher Velez; Tatiana Karafet; Andres Moreno-Estrada; Andy Reynolds; Adam Auton; Michael Hammer; Carlos D Bustamante; Harry Ostrer
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-05       Impact factor: 11.205

5.  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

6.  Using ancestry matching to combine family-based and unrelated samples for genome-wide association studies.

Authors:  Andrew Crossett; Brian P Kent; Lambertus Klei; Steven Ringquist; Massimo Trucco; Kathryn Roeder; Bernie Devlin
Journal:  Stat Med       Date:  2010-12-10       Impact factor: 2.373

7.  A consensus tree approach for reconstructing human evolutionary history and detecting population substructure.

Authors:  Ming-Chi Tsai; Guy Blelloch; R Ravi; Russell Schwartz
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2011 Jul-Aug       Impact factor: 3.710

8.  Meta-analysis of genetic association studies and adjustment for multiple testing of correlated SNPs and traits.

Authors:  Karen N Conneely; Michael Boehnke
Journal:  Genet Epidemiol       Date:  2010-11       Impact factor: 2.135

9.  Chip-based direct genotyping of coding variants in genome wide association studies: utility, issues and prospects.

Authors:  Caroline M Nievergelt; Nathan E Wineinger; Ondrej Libiger; Phillip Pham; Guangfa Zhang; Dewleen G Baker; Nicholas J Schork
Journal:  Gene       Date:  2014-02-09       Impact factor: 3.688

10.  The NIH Toolbox Cognition Battery: results from a large normative developmental sample (PING).

Authors:  Natacha Akshoomoff; Erik Newman; Wesley K Thompson; Connor McCabe; Cinnamon S Bloss; Linda Chang; David G Amaral; B J Casey; Thomas M Ernst; Jean A Frazier; Jeffrey R Gruen; Walter E Kaufmann; Tal Kenet; David N Kennedy; Ondrej Libiger; Stewart Mostofsky; Sarah S Murray; Elizabeth R Sowell; Nicholas Schork; Anders M Dale; Terry L Jernigan
Journal:  Neuropsychology       Date:  2013-11-11       Impact factor: 3.295

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