Literature DB >> 21595511

Planning a genome-wide association study: points to consider.

Hakon Hakonarson1, Struan F A Grant.   

Abstract

It is well established that genetic diversity combined with specific environmental exposures contributes to disease susceptibility. However, it has turned out to be challenging to isolate the genes underlying the genetic component conferring susceptibility to most complex disorders. Traditional candidate gene and family-based linkage studies, which dominated gene discovery efforts for many years, were largely unsuccessful in unraveling the genetics of these traits due to the relatively limited information gained. Within the last 5 years, new advances in high-throughput methods have allowed for large volumes of single nucleotide polymorphisms (SNPs) throughout the genome to be genotyped across large and comprehensively phenotyped patient cohorts. Unlike previous approaches, these 'genome-wide association studies' (GWAS) have extensively delivered on the promise of uncovering genetic determinants of complex diseases, with hundreds of novel disease-associated variants being largely replicated by independent groups. This review provides an overview of these recent breakthroughs in the context of the pitfalls and challenges related to designing and carrying out a successful GWAS.

Entities:  

Mesh:

Year:  2011        PMID: 21595511     DOI: 10.3109/07853890.2011.573803

Source DB:  PubMed          Journal:  Ann Med        ISSN: 0785-3890            Impact factor:   4.709


  9 in total

Review 1.  Genetics of peripheral artery disease.

Authors:  Nicholas J Leeper; Iftikhar J Kullo; John P Cooke
Journal:  Circulation       Date:  2012-06-26       Impact factor: 29.690

2.  Has discovery-based cancer research been a bust?

Authors:  R J Epstein
Journal:  Clin Transl Oncol       Date:  2013-09-04       Impact factor: 3.405

3.  Breed-specific ancestry studies and genome-wide association analysis highlight an association between the MYH9 gene and heat tolerance in Alaskan sprint racing sled dogs.

Authors:  Heather J Huson; Bridgett M vonHoldt; Maud Rimbault; Alexandra M Byers; Jonathan A Runstadler; Heidi G Parker; Elaine A Ostrander
Journal:  Mamm Genome       Date:  2011-11-22       Impact factor: 2.957

4.  Current and emerging technology approaches in genomics.

Authors:  Yvette P Conley; Leslie G Biesecker; Stephen Gonsalves; Carrie J Merkle; Maggie Kirk; Bradley E Aouizerat
Journal:  J Nurs Scholarsh       Date:  2013-01-07       Impact factor: 3.176

5.  SNP characteristics predict replication success in association studies.

Authors:  Ivan P Gorlov; Jason H Moore; Bo Peng; Jennifer L Jin; Olga Y Gorlova; Christopher I Amos
Journal:  Hum Genet       Date:  2014-10-02       Impact factor: 4.132

Review 6.  Molecular genomic research designs.

Authors:  Kelley Baumgartel; Jamie Zelazny; Theresa Timcheck; Chantel Snyder; Mandy Bell; Yvette P Conley
Journal:  Annu Rev Nurs Res       Date:  2011

7.  Genetics of temporal lobe epilepsy: a review.

Authors:  Annick Salzmann; Alain Malafosse
Journal:  Epilepsy Res Treat       Date:  2012-02-19

8.  The genomic signature of trait-associated variants.

Authors:  Alida S D Kindt; Pau Navarro; Colin A M Semple; Chris S Haley
Journal:  BMC Genomics       Date:  2013-02-18       Impact factor: 3.969

9.  Pooled sample-based GWAS: a cost-effective alternative for identifying colorectal and prostate cancer risk variants in the Polish population.

Authors:  Pawel Gaj; Natalia Maryan; Ewa E Hennig; Joanna K Ledwon; Agnieszka Paziewska; Aneta Majewska; Jakub Karczmarski; Monika Nesteruk; Jan Wolski; Artur A Antoniewicz; Krzysztof Przytulski; Andrzej Rutkowski; Alexander Teumer; Georg Homuth; Teresa Starzyńska; Jaroslaw Regula; Jerzy Ostrowski
Journal:  PLoS One       Date:  2012-04-19       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.