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Journal ArticleDOI

Association study designs for complex diseases

Lon R. Cardon, +1 more
- 01 Feb 2001 - 
- Vol. 2, Iss: 2, pp 91-99
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TLDR
With the discovery of massive numbers of genetic markers and the development of better tools for genotyping, association studies will inevitably proliferate and now is the time to consider critically the design of such studies to avoid the mistakes of the past and to maximize their potential to identify new components of disease.
Abstract
Assessing the association between DNA variants and disease has been used widely to identify regions of the genome and candidate genes that contribute to disease. However, there are numerous examples of associations that cannot be replicated, which has led to skepticism about the utility of the approach for common conditions. With the discovery of massive numbers of genetic markers and the development of better tools for genotyping, association studies will inevitably proliferate. Now is the time to consider critically the design of such studies, to avoid the mistakes of the past and to maximize their potential to identify new components of disease.

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Citations
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A genome-wide scan and HCRTR2 candidate gene analysis in a European cluster headache cohort

TL;DR: Cluster headache is a complex genetic disorder, with possible phenotypic and genetic heterogeneity compounding attempts at gene identification, and potential linkage was identified at four possible disease loci in Danish kindreds, yet no single chromosome location generated a lod or NPL score of recognized significance.
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The Complex Genetic Architecture of Drosophila Life Span

TL;DR: All of the QTL mapping data for Drosophila life span is summarized, the additive allelic effects and dominance of QTL were highly sex-specific, and future prospects for disentangling the genetic and environmental influences on this trait are outlined.
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Performance analysis of novel methods for detecting epistasis.

TL;DR: A comparison study of epistasis detection methods through applying related software packages on datasets, and AntEpiSeeker and BOOST are recommended as the efficient and effective methods.
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Haplotype analysis indicates an association between the DOPA decarboxylase (DDC) gene and nicotine dependence

TL;DR: Findings provide the first evidence for the involvement of DDC in the susceptibility to ND and, further, reveal the racial specificity of its impact.
References
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Journal ArticleDOI

Inference of population structure using multilocus genotype data

TL;DR: Pritch et al. as discussed by the authors proposed a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations, which can be applied to most of the commonly used genetic markers, provided that they are not closely linked.
Journal ArticleDOI

A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington's disease chromosomes

TL;DR: In this article, the authors used haplotype analysis of linkage disequilibrium to spotlight a small segment of 4p16.3 as the likely location of the defect, which is expanded and unstable on HD chromosomes.
Journal ArticleDOI

Identification of the cystic fibrosis gene: cloning and characterization of complementary DNA.

TL;DR: A deletion of three base pairs that results in the omission of a phenylalanine residue at the center of the first predicted nucleotide-binding domain was detected in CF patients.
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