Literature DB >> 16080110

Recent developments in genomewide association scans: a workshop summary and review.

Duncan C Thomas1, Robert W Haile, David Duggan.   

Abstract

With the imminent availability of ultra-high-volume genotyping platforms (on the order of 100,000-1,000,000 genotypes per sample) at a manageable cost, there is growing interest in the possibility of conducting genomewide association studies for a variety of diseases but, so far, little consensus on methods to design and analyze them. In April 2005, an international group of >100 investigators convened at the University of Southern California over the course of 2 days to compare notes on planned or ongoing studies and to debate alternative technologies, study designs, and statistical methods. This report summarizes these discussions in the context of the relevant literature. A broad consensus emerged that the time was now ripe for launching such studies, and several common themes were identified--most notably the considerable efficiency gains of multistage sampling design, specifically those made by testing only a portion of the subjects with a high-density genomewide technology, followed by testing additional subjects and/or additional SNPs at regions identified by this initial scan.

Mesh:

Substances:

Year:  2005        PMID: 16080110      PMCID: PMC1226200          DOI: 10.1086/432962

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


  114 in total

1.  Genetic diversity in an Andean population from Peru and regional migration patterns of Amerindians in South America: data from Y chromosome and mitochondrial DNA.

Authors:  L A Rodriguez-Delfin; V E Rubin-de-Celis; M A Zago
Journal:  Hum Hered       Date:  2001       Impact factor: 0.444

Review 2.  Candidate-gene approaches for studying complex genetic traits: practical considerations.

Authors:  Holly K Tabor; Neil J Risch; Richard M Myers
Journal:  Nat Rev Genet       Date:  2002-05       Impact factor: 53.242

3.  The usefulness of different density SNP maps for disease association studies of common variants.

Authors:  William Y S Wang; John A Todd
Journal:  Hum Mol Genet       Date:  2003-10-07       Impact factor: 6.150

Review 4.  Mapping complex disease loci in whole-genome association studies.

Authors:  Christopher S Carlson; Michael A Eberle; Leonid Kruglyak; Deborah A Nickerson
Journal:  Nature       Date:  2004-05-27       Impact factor: 49.962

5.  The future of association studies: gene-based analysis and replication.

Authors:  Benjamin M Neale; Pak C Sham
Journal:  Am J Hum Genet       Date:  2004-07-22       Impact factor: 11.025

6.  Increased power for case-control studies of single nucleotide polymorphisms through incorporation of family history and genetic constraints.

Authors:  Deborah Thompson; John S Witte; Martha Slattery; David Goldgar
Journal:  Genet Epidemiol       Date:  2004-11       Impact factor: 2.135

7.  Highly parallel SNP genotyping.

Authors:  J B Fan; A Oliphant; R Shen; B G Kermani; F Garcia; K L Gunderson; M Hansen; F Steemers; S L Butler; P Deloukas; L Galver; S Hunt; C McBride; M Bibikova; T Rubano; J Chen; E Wickham; D Doucet; W Chang; D Campbell; B Zhang; S Kruglyak; D Bentley; J Haas; P Rigault; L Zhou; J Stuelpnagel; M S Chee
Journal:  Cold Spring Harb Symp Quant Biol       Date:  2003

Review 8.  Genome-wide association studies for common diseases and complex traits.

Authors:  Joel N Hirschhorn; Mark J Daly
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

9.  Variations on a theme: cataloging human DNA sequence variation.

Authors:  F S Collins; M S Guyer; A Charkravarti
Journal:  Science       Date:  1997-11-28       Impact factor: 47.728

10.  Complement factor H variant increases the risk of age-related macular degeneration.

Authors:  Jonathan L Haines; Michael A Hauser; Silke Schmidt; William K Scott; Lana M Olson; Paul Gallins; Kylee L Spencer; Shu Ying Kwan; Maher Noureddine; John R Gilbert; Nathalie Schnetz-Boutaud; Anita Agarwal; Eric A Postel; Margaret A Pericak-Vance
Journal:  Science       Date:  2005-03-10       Impact factor: 47.728

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  64 in total

1.  Genome-wide association studies and beyond.

Authors:  John S Witte
Journal:  Annu Rev Public Health       Date:  2010       Impact factor: 21.981

2.  Heritability of alternative splicing in the human genome.

Authors:  Tony Kwan; David Benovoy; Christel Dias; Scott Gurd; David Serre; Harry Zuzan; Tyson A Clark; Anthony Schweitzer; Michelle K Staples; Hui Wang; John E Blume; Thomas J Hudson; Rob Sladek; Jacek Majewski
Journal:  Genome Res       Date:  2007-08       Impact factor: 9.043

3.  Detecting genome wide haplotype sharing using SNP or microsatellite haplotype data.

Authors:  Melanie Bahlo; Jim Stankovich; Terence P Speed; Justin P Rubio; Rachel K Burfoot; Simon J Foote
Journal:  Hum Genet       Date:  2005-12-14       Impact factor: 4.132

4.  Bayesian graphical models for genomewide association studies.

Authors:  Claudio J Verzilli; Nigel Stallard; John C Whittaker
Journal:  Am J Hum Genet       Date:  2006-05-30       Impact factor: 11.025

5.  A note on permutation tests in multistage association scans.

Authors:  Frank Dudbridge
Journal:  Am J Hum Genet       Date:  2006-06       Impact factor: 11.025

6.  Using linkage genome scans to improve power of association in genome scans.

Authors:  Kathryn Roeder; Silvi-Alin Bacanu; Larry Wasserman; B Devlin
Journal:  Am J Hum Genet       Date:  2006-01-03       Impact factor: 11.025

7.  Evaluating statistical significance in two-stage genomewide association studies.

Authors:  D Y Lin
Journal:  Am J Hum Genet       Date:  2006-01-11       Impact factor: 11.025

8.  A flexible Bayesian framework for modeling haplotype association with disease, allowing for dominance effects of the underlying causative variants.

Authors:  Andrew P Morris
Journal:  Am J Hum Genet       Date:  2006-08-31       Impact factor: 11.025

9.  Optimum two-stage designs in case-control association studies using false discovery rate.

Authors:  Aya Kuchiba; Noriko Y Tanaka; Yasuo Ohashi
Journal:  J Hum Genet       Date:  2006-09-27       Impact factor: 3.172

10.  A grid-search algorithm for optimal allocation of sample size in two-stage association studies.

Authors:  S H Wen; C K Hsiao
Journal:  J Hum Genet       Date:  2007-06-30       Impact factor: 3.172

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