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Literature DB >> 12042883

Complex-trait genetics: emergence of multivariate strategies.

Abstract

Complex traits, including many disease-related traits, are influenced by multiple genes. Bivariate approaches that associate one gene with one trait are yielding to multivariate methods to synthesize the effects of multiple genes, integrate results across independent studies, and aid in the identification of coordinated pathways and interactions between loci.

Entities: Gene

Mesh：

Year: 2002 PMID： 12042883 DOI： 10.1038/nrn847

Source DB: PubMed Journal: Nat Rev Neurosci ISSN： 1471-003X Impact factor: 34.870

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Cited

21 in total

Review 1. Pharmacogenetic studies of alcohol self-administration and withdrawal.

Authors: John C Crabbe; Tamara J Phillips
Journal: Psychopharmacology (Berl) Date: 2003-10-09 Impact factor: 4.530

2. Mining OMIM for insight into complex diseases.

Authors: Michael N Cantor; Yves A Lussier
Journal: Stud Health Technol Inform Date: 2004

3. WebQTL: web-based complex trait analysis.

Authors: Jintao Wang; Robert W Williams; Kenneth F Manly
Journal: Neuroinformatics Date: 2003

Review 4. The complexity of alcohol drinking: studies in rodent genetic models.

Authors: John C Crabbe; Tamara J Phillips; John K Belknap
Journal: Behav Genet Date: 2010-06-15 Impact factor: 2.805

5. The sociobiologic integrative model (SBIM): enhancing the integration of sociobehavioral, environmental, and biomolecular knowledge in urban health and disparities research.

Authors: M Chris Gibbons; Malcolm Brock; Anthony J Alberg; Thomas Glass; Thomas A LaVeist; Stephen Baylin; David Levine; C Earl Fox
Journal: J Urban Health Date: 2007-03 Impact factor: 3.671

Complex-trait genetics: emergence of multivariate strategies.

Review 1. Pharmacogenetic studies of alcohol self-administration and withdrawal.

2. Mining OMIM for insight into complex diseases.

3. WebQTL: web-based complex trait analysis.

Review 4. The complexity of alcohol drinking: studies in rodent genetic models.

5. The sociobiologic integrative model (SBIM): enhancing the integration of sociobehavioral, environmental, and biomolecular knowledge in urban health and disparities research.

6. Behavioral inhibition in mice bred for high vs. low levels of methamphetamine consumption or sensitization.

7. Functional mapping of disease susceptibility loci using cell biology.

Review 8. Proteomic approaches and identification of novel therapeutic targets for alcoholism.

9. Genetic factors involved in risk for methamphetamine intake and sensitization.

Review 10. Behavioral genetic contributions to the study of addiction-related amphetamine effects.