Literature DB >> 11854095

Susceptibility gene discovery for common metabolic and endocrine traits.

M I McCarthy1.   

Abstract

Almost all major causes of ill-health and premature death in human societies worldwide - including cancer, cardiovascular disease, diabetes and many infectious diseases - are, at least in part, genetically determined. Typically, risk of succumbing to one of these illnesses is thought to depend on both the individual repertoire of variation within a number of key susceptibility genes and the history of exposure to relevant environmental factors. For many of these conditions, the molecular basis of disease pathogenesis remains obscure. This represents a major obstacle to development of improved, rational strategies for disease treatment, prevention and eradication. It is easy therefore to appreciate the importance attached to efforts to deliver more comprehensive understanding of the molecular basis of disease pathogenesis. Nor is it hard to understand that identification of major susceptibility genes should highlight those components of molecular machinery that are critical for the preservation of normal health. The benefits promised are great, but progress to gene identification in multifactorial traits has been rather disappointing to date. Why is this? This review aims to answer this question by describing current and future approaches to gene discovery in multifactorial traits. The examples quoted will mostly relate to type 2 diabetes, but the issues and approaches are generic, and apply equally to other multifactorial traits in the endocrine and metabolic arena - type 1 diabetes; obesity; hyperlipidaemia; autoimmune thyroid disease; polycystic ovarian syndrome - and beyond.

Entities:  

Mesh:

Year:  2002        PMID: 11854095     DOI: 10.1677/jme.0.0280001

Source DB:  PubMed          Journal:  J Mol Endocrinol        ISSN: 0952-5041            Impact factor:   5.098


  8 in total

1.  Type 2 diabetes mellitus and its complications: from the molecular biology to the clinical practice.

Authors:  Maciej T Malecki
Journal:  Rev Diabet Stud       Date:  2004-05-10

2.  A genomics study of type 2 diabetes mellitus in U.S. Air Force personnel.

Authors:  Lisa Lott
Journal:  J Diabetes Sci Technol       Date:  2009-07-01

Review 3.  Progress and promise of genome-wide association studies for human complex trait genetics.

Authors:  Barbara E Stranger; Eli A Stahl; Towfique Raj
Journal:  Genetics       Date:  2010-11-29       Impact factor: 4.562

Review 4.  Synthetic associations in the context of genome-wide association scan signals.

Authors:  Gisela Orozco; Jeffrey C Barrett; Eleftheria Zeggini
Journal:  Hum Mol Genet       Date:  2010-08-30       Impact factor: 6.150

5.  Mycobacterium avium subsp. paratuberculosis as a trigger of type-1 diabetes: destination Sardinia, or beyond?

Authors:  Pittu Sandhya Rani; Leonardo A Sechi; Niyaz Ahmed
Journal:  Gut Pathog       Date:  2010-03-29       Impact factor: 4.181

Review 6.  Multiple sclerosis and regulatory T cells.

Authors:  Cristina Maria Costantino; Clare Baecher-Allan; David A Hafler
Journal:  J Clin Immunol       Date:  2008-09-02       Impact factor: 8.317

7.  Higher genetic susceptibility to inflammation in mild disease activity of systemic lupus erythematosus.

Authors:  Li-Jen Tsai; Sheng-Hsiung Hsiao; Jaw-Ji Tsai; Ching-Yuang Lin; Lih-Min Tsai; Joung-Liang Lan
Journal:  Rheumatol Int       Date:  2009-04-28       Impact factor: 2.631

8.  A whole-genome scan for obstructive sleep apnea and obesity.

Authors:  Lyle J Palmer; Sarah G Buxbaum; Emma Larkin; Sanjay R Patel; Robert C Elston; Peter V Tishler; Susan Redline
Journal:  Am J Hum Genet       Date:  2002-12-23       Impact factor: 11.025

  8 in total

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