Abstract

Association studies hold great promise for the elucidation of the genetic basis of diseases. Studies based on functional single nucleotide polymorphisms (SNPs) or on linkage disequilibrium (LD) represent two main types of designs. LD-based association studies can be comprehensive for common causative variants, but they perform poorly for rare alleles. Conversely, functional SNP-based studies are efficient because they focus on the SNPs with the highest a priori chance of being associated. Our poor ability to predict the functional effect of SNPs, however, hampers attempts to make these studies comprehensive. Recent progress in comparative genomics, and evidence that functional elements tend to lie in conserved regions, promises to change the landscape, permitting functional SNP association studies to be carried out that comprehensively assess common and rare alleles. SNP genotyping technologies are already sufficient for such studies, but studies will require continued genomic sequencing of multiple species, research on the functional role of conserved sequences and additional SNP discovery and validation efforts (including targeted SNP discovery to identify the rare alleles in functional regions). With these resources, we expect that comprehensive functional SNP association studies will soon be possible.

Highlights

  • Association studies of common, complexly inherited human diseases have the potential to provide us with insights into causes of enormous human suffering.[1]

  • Association studies based on functional single nucleotide polymorphisms (SNPs) are highly efficient as they study the set of SNPs most likely to cause disease

  • Research into conserved sequences and the continuing influx of genomic sequences into the public domain promises to delineate many of these elements and increase the comprehensiveness of functional SNP association studies

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Summary

Introduction

Association studies of common, complexly inherited human diseases have the potential to provide us with insights into causes of enormous human suffering.[1] While thousands of such studies have been published (typically using single nucleotide polymorphisms [SNPs]), only a handful of these finding have been clearly and consistently replicated. While some findings are doubtless real,[2] debate continues over most.

Types of association studies
Functional effect nsSNP
Many autoimmune diseases
High coverage
Functional SNPs
Splice junctionsd
Conserved sequences
Generating a whole genome set of functional SNPs
Discussion
Findings
Splice junctions
Full Text
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