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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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Genetics of Idiopathic Male Infertility

TL;DR: By using a comparative cross-species approach, major susceptibility genes underlying male infertility can be identified in association studies and a candidate-gene approach that incorporates biological information from model organisms is likely to be critical in deciphering the genetic basis of idiopathic male fertility.
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Integrating genetic and toxicogenomic information for determining underlying susceptibility to developmental disorders

TL;DR: Using NTDs as an example of developmental disorder, it is shown how simple integration of genetic information from previous studies into the standard microarray design can enhance analysis of gene-environment interactions to better define environmental exposure-disease pathways in sensitive and resistant mouse strains.
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An overview of the environmental genome project.

TL;DR: This symposium explored the feasibility of the Environmental Genome Project (EGP), designed to explore the relationship between common genetic polymorphisms and environmentally induced disease in human populations.
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Genetic Regulation of the Variation in Pubertal Timing

TL;DR: In this chapter, data supporting the heritability of pubertal timing, investigative approaches, and progress that has been made in identifying the genetic factors that regulate puberal timing are discussed.
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Designing optimally multiplexed SNP genotyping assays

TL;DR: This work addresses the optimization problem of designing assays that maximize the number of genotyped SNPs, subject to the multiplexing constraints, and provides essentially optimal heuristics for solving the corresponding coloring problem.
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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