Literature DB >> 9351588

Genetics of complex disease: approaches, problems, and solutions.

N J Schork1.   

Abstract

Complex or multifactorial diseases are defined as diseases that are ultimately determined by a number of genetic and environmental factors. Although there are many technologies and strategies that can be used to detect genetic factors influencing complex diseases, these technologies and strategies have inherent limitations. In fact, the very name "complex disease" suggests that the results from relevant studies will not be simple to decipher. Ultimately, both the detection and precise characterization of a factor's contribution to a complex disease are difficult undertakings, because the effect of any one factor may be obscured or confounded by other factors. However, the genetic dissection of complex diseases can be greatly facilitated by paying heed to two very basic distinctions. The first distinction is between complexity at the level of individuals and complexity at the level of populations. The second distinction is between the two sequentially pursued components of gene discovery paradigms: gene identification and gene effect characterization. Although genetic epidemiology, as a research field, is oriented to both components of gene discovery for complex diseases, it is suited to gene effect characterization at the population level more than anything else. This paper reviews the origins of the genetic basis of complex traits, as well as the problems plaguing genetic epidemiologic analysis strategies, with the hope of showing how greater attention to these distinctions, as well as a greater integration of relevant knowledge, can alleviate confusion and shape future investigations. In addition, a new discipline, "phenomics" or "phenometrics," could be initiated that would complement genomic research as presently performed.

Mesh:

Year:  1997        PMID: 9351588     DOI: 10.1164/ajrccm.156.4.12-tac-5

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  48 in total

1.  The prediction of disease risk in genomic medicine.

Authors:  Wayne D Hall; Katherine I Morley; Jayne C Lucke
Journal:  EMBO Rep       Date:  2004-10       Impact factor: 8.807

2.  Human behavioral informatics in genetic studies of neuropsychiatric disease: multivariate profile-based analysis.

Authors:  Cinnamon S Bloss; Kelly M Schiabor; Nicholas J Schork
Journal:  Brain Res Bull       Date:  2010-04-28       Impact factor: 4.077

Review 3.  Phenomics: the next challenge.

Authors:  David Houle; Diddahally R Govindaraju; Stig Omholt
Journal:  Nat Rev Genet       Date:  2010-12       Impact factor: 53.242

4.  Uncovering hidden variance: pair-wise SNP analysis accounts for additional variance in nicotine dependence.

Authors:  Robert C Culverhouse; Nancy L Saccone; Jerry A Stitzel; Jen C Wang; Joseph H Steinbach; Alison M Goate; Tae-Hwi Schwantes-An; Richard A Grucza; Victoria L Stevens; Laura J Bierut
Journal:  Hum Genet       Date:  2010-11-16       Impact factor: 4.132

5.  Association of CAT polymorphisms with catalase activity and exposure to environmental oxidative stimuli.

Authors:  Rachel Nadif; Margaret Mintz; Anne Jedlicka; Jean-Pierre Bertrand; Steven R Kleeberger; Francine Kauffmann
Journal:  Free Radic Res       Date:  2005-12

6.  A generalized combinatorial approach for detecting gene-by-gene and gene-by-environment interactions with application to nicotine dependence.

Authors:  Xiang-Yang Lou; Guo-Bo Chen; Lei Yan; Jennie Z Ma; Jun Zhu; Robert C Elston; Ming D Li
Journal:  Am J Hum Genet       Date:  2007-04-25       Impact factor: 11.025

7.  Investigating the effect of genetic background on proteinuria and renal injury using two hypertensive strains.

Authors:  Matthew Packard; Yasser Saad; William T Gunning; Shalini Gupta; Joseph Shapiro; Michael R Garrett
Journal:  Am J Physiol Renal Physiol       Date:  2009-01-28

Review 8.  Genetic variants at the IFNL3 locus and their association with hepatitis C virus infections reveal novel insights into host-virus interactions.

Authors:  Sreedhar Chinnaswamy
Journal:  J Interferon Cytokine Res       Date:  2014-02-20       Impact factor: 2.607

Review 9.  Kinase mutations in human disease: interpreting genotype-phenotype relationships.

Authors:  Piya Lahiry; Ali Torkamani; Nicholas J Schork; Robert A Hegele
Journal:  Nat Rev Genet       Date:  2010-01       Impact factor: 53.242

10.  A multi-dimensional evidence-based candidate gene prioritization approach for complex diseases-schizophrenia as a case.

Authors:  Jingchun Sun; Peilin Jia; Ayman H Fanous; Bradley T Webb; Edwin J C G van den Oord; Xiangning Chen; Jozsef Bukszar; Kenneth S Kendler; Zhongming Zhao
Journal:  Bioinformatics       Date:  2009-07-14       Impact factor: 6.937

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