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Literature DB >> 15069055

STUDENTJAMA. The challenges of whole-genome approaches to common diseases.

Jason H Moore¹, Marylyn D Ritchie.

Abstract

Mesh：

Year: 2004 PMID： 15069055 DOI： 10.1001/jama.291.13.1642

Source DB: PubMed Journal: JAMA ISSN： 0098-7484 Impact factor: 56.272

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45 in total

1. A fast method for computing high-significance disease association in large population-based studies.

Authors: Gad Kimmel; Ron Shamir
Journal: Am J Hum Genet Date: 2006-07-24 Impact factor: 11.025

2. Machine learning for detecting gene-gene interactions: a review.

Authors: Brett A McKinney; David M Reif; Marylyn D Ritchie; Jason H Moore
Journal: Appl Bioinformatics Date: 2006

3. Synergistic effect of the genetic polymorphisms of the renin-angiotensin-aldosterone system on high-altitude pulmonary edema: a study from Qinghai-Tibet altitude.

Authors: Yue Qi; Wenquan Niu; Tongchun Zhu; Wenyu Zhou; Changchun Qiu
Journal: Eur J Epidemiol Date: 2007-11-07 Impact factor: 8.082

4. Sample-size properties of a case-control association analysis of multistage SNP studies for identifying disease susceptibility genes.

Authors: Nobutaka Kitamura; Kouhei Akazawa; Shin-Ichi Toyabe; Akinori Miyashita; Ryozo Kuwano; Junichiro Nakamura
Journal: J Hum Genet Date: 2008-02-21 Impact factor: 3.172

5. Genotype patterns that contribute to increased risk for or protection from developing heroin addiction.

Authors: D A Nielsen; F Ji; V Yuferov; A Ho; A Chen; O Levran; J Ott; M J Kreek
Journal: Mol Psychiatry Date: 2008-01-15 Impact factor: 15.992

6. The Pathway Less Traveled: Moving from Candidate Genes to Candidate Pathways in the Analysis of Genome-Wide Data from Large Scale Pharmacogenetic Association Studies.

Authors: R A Wilke; R K Mareedu; J H Moore
Journal: Curr Pharmacogenomics Person Med Date: 2008

STUDENTJAMA. The challenges of whole-genome approaches to common diseases.

1. A fast method for computing high-significance disease association in large population-based studies.

2. Machine learning for detecting gene-gene interactions: a review.

3. Synergistic effect of the genetic polymorphisms of the renin-angiotensin-aldosterone system on high-altitude pulmonary edema: a study from Qinghai-Tibet altitude.

4. Sample-size properties of a case-control association analysis of multistage SNP studies for identifying disease susceptibility genes.

5. Genotype patterns that contribute to increased risk for or protection from developing heroin addiction.

6. The Pathway Less Traveled: Moving from Candidate Genes to Candidate Pathways in the Analysis of Genome-Wide Data from Large Scale Pharmacogenetic Association Studies.

7. Genetic interactions model among Eotaxin gene polymorphisms in asthma.

8. From genotypes to genometypes: putting the genome back in genome-wide association studies.

Review 9. Exploiting the proteome to improve the genome-wide genetic analysis of epistasis in common human diseases.

10. Statistical epistasis networks reduce the computational complexity of searching three-locus genetic models.