Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Determinants of the success of whole-genome association testing.

Literature DB >> 16251455

Determinants of the success of whole-genome association testing.

Andrew G Clark¹, Eric Boerwinkle, James Hixson, Charles F Sing.

Abstract

Mesh：

Year: 2005 PMID： 16251455 DOI： 10.1101/gr.4244005

Source DB: PubMed Journal: Genome Res ISSN： 1088-9051 Impact factor: 9.043

Keyword Cloud
Cited

× No keyword cloud information.

28 in total

1. Common clinical practice versus new PRIM score in predicting coronary heart disease risk.

Authors: Ruth Frikke-Schmidt; Anne Tybjærg-Hansen; Peter Schnohr; Gorm B Jensen; Børge G Nordestgaard
Journal: Atherosclerosis Date: 2010-07-27 Impact factor: 5.162

2. Complex adaptive system models and the genetic analysis of plasma HDL-cholesterol concentration.

Authors: Thomas J Rea; Christine M Brown; Charles F Sing
Journal: Perspect Biol Med Date: 2006 Impact factor: 1.416

3. Use of stochastic simulations to investigate the power and design of a whole genome association study using single nucleotide polymorphism arrays in farm animals.

Authors: Benoît Auvray; Ken G Dodds
Journal: J Zhejiang Univ Sci B Date: 2007-11 Impact factor: 3.066

Review 4. Discovery and verification of functional single nucleotide polymorphisms in regulatory genomic regions: current and developing technologies.

Authors: Brian N Chorley; Xuting Wang; Michelle R Campbell; Gary S Pittman; Maher A Noureddine; Douglas A Bell
Journal: Mutat Res Date: 2008-05-04 Impact factor: 2.433

Determinants of the success of whole-genome association testing.

1. Common clinical practice versus new PRIM score in predicting coronary heart disease risk.

2. Complex adaptive system models and the genetic analysis of plasma HDL-cholesterol concentration.

3. Use of stochastic simulations to investigate the power and design of a whole genome association study using single nucleotide polymorphism arrays in farm animals.

Review 4. Discovery and verification of functional single nucleotide polymorphisms in regulatory genomic regions: current and developing technologies.

Review 5. From human genetics and genomics to pharmacogenetics and pharmacogenomics: past lessons, future directions.

6. Enabling personal genomics with an explicit test of epistasis.

Review 7. Role for protein-protein interaction databases in human genetics.

8. Region-based analysis in genome-wide association study of Framingham Heart Study blood lipid phenotypes.

Review 9. Bioinformatics challenges for genome-wide association studies.

10. Rapid genomic characterization of the genus vitis.