Literature DB >> 18197186

To what extent do scans of non-synonymous SNPs complement denser genome-wide association studies?

David M Evans1, Jeffrey C Barrett, Lon R Cardon.   

Abstract

Several studies involving genome-wide scans of non-synonymous SNPs (nsSNPs) have successfully identified loci contributing to common complex diseases. We were interested in the extent to which these small scans involving a few thousand non-synonymous markers might complement the results from denser genome-wide association studies. We assessed the degree to which three commercially available genome-wide marker panels tagged nsSNPs on the Illumina HumanNS-12 BeadChip, a product specifically designed to capture non-synonymous variation. We demonstrate that commercially available genome-wide panels already tag the majority of common non-synonymous variants on the NS-12 BeadChip, indicating that with respect to capturing common non-synonymous variation, information from the NS-12 BeadChip is largely redundant. In contrast, genome-wide panels fail to capture most of the rare SNPs present on the NS-12 BeadChip. Power calculations reveal that non-synonymous scans involving sample sizes typical of the current wave of genome-wide association studies are unlikely to identify rare variants of small effect, but could conceivably identify rare variants of intermediate penetrance. We conclude that non-synonymous scans may facilitate the identification of rare variants of intermediate penetrance that would not otherwise be detectable using dense genome-wide panels, but are unlikely to uniquely identify common variants contributing to complex disease variation.

Entities:  

Mesh:

Year:  2008        PMID: 18197186     DOI: 10.1038/sj.ejhg.5202011

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  12 in total

1.  Targeted genome-wide investigation identifies novel SNPs associated with diabetic nephropathy.

Authors:  Amy Jayne McKnight; Diane Currie; Chris C Patterson; Alexander P Maxwell; Damian G Fogarty
Journal:  Hugo J       Date:  2010-02-24

Review 2.  Genome-wide association studies in the genetics of asthma.

Authors:  Saffron A G Willis-Owen; William O Cookson; Miriam F Moffatt
Journal:  Curr Allergy Asthma Rep       Date:  2009-01       Impact factor: 4.806

3.  A weighted-Holm procedure accounting for allele frequencies in genomewide association studies.

Authors:  Cyril Dalmasso; Emmanuelle Génin; David-Alexandre Trégouet
Journal:  Genetics       Date:  2008-08-24       Impact factor: 4.562

4.  Allele-specific gene expression patterns in primary leukemic cells reveal regulation of gene expression by CpG site methylation.

Authors:  Lili Milani; Anders Lundmark; Jessica Nordlund; Anna Kiialainen; Trond Flaegstad; Gudmundur Jonmundsson; Jukka Kanerva; Kjeld Schmiegelow; Kevin L Gunderson; Gudmar Lönnerholm; Ann-Christine Syvänen
Journal:  Genome Res       Date:  2008-11-07       Impact factor: 9.043

5.  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

6.  Copy number variation and cytidine analogue cytotoxicity: a genome-wide association approach.

Authors:  Krishna R Kalari; Scott J Hebbring; High Seng Chai; Liang Li; Jean-Pierre A Kocher; Liewei Wang; Richard M Weinshilboum
Journal:  BMC Genomics       Date:  2010-06-04       Impact factor: 3.969

7.  Marker selection for genetic case-control association studies.

Authors:  Fredrik H Pettersson; Carl A Anderson; Geraldine M Clarke; Jeffrey C Barrett; Lon R Cardon; Andrew P Morris; Krina T Zondervan
Journal:  Nat Protoc       Date:  2009-04-23       Impact factor: 13.491

8.  Detecting low frequent loss-of-function alleles in genome wide association studies with red hair color as example.

Authors:  Fan Liu; Maksim V Struchalin; Kate van Duijn; Albert Hofman; André G Uitterlinden; Cornelia van Duijn; Yurii S Aulchenko; Manfred Kayser
Journal:  PLoS One       Date:  2011-11-29       Impact factor: 3.240

9.  A genome-wide association study confirms VKORC1, CYP2C9, and CYP4F2 as principal genetic determinants of warfarin dose.

Authors:  Fumihiko Takeuchi; Ralph McGinnis; Stephane Bourgeois; Chris Barnes; Niclas Eriksson; Nicole Soranzo; Pamela Whittaker; Venkatesh Ranganath; Vasudev Kumanduri; William McLaren; Lennart Holm; Jonatan Lindh; Anders Rane; Mia Wadelius; Panos Deloukas
Journal:  PLoS Genet       Date:  2009-03-20       Impact factor: 5.917

10.  Frequent amplification of CENPF, GMNN and CDK13 genes in hepatocellular carcinomas.

Authors:  Hye-Eun Kim; Dae-Ghon Kim; Kyung Jin Lee; Jang Geun Son; Min-Young Song; Young-Mi Park; Jae-Jung Kim; Sung-Won Cho; Sung-Gil Chi; Hyun Sub Cheong; Hyoung Doo Shin; Sang-Wook Lee; Jong-Keuk Lee
Journal:  PLoS One       Date:  2012-08-13       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.