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Infinium Assay for Large-scale SNP Genotyping Applications
Published on: November 19, 2013
Gene mapping in the wild with SNPs: guidelines and future directions
Jon Slate1, Jake Gratten, Dario Beraldi
1Department of Animal & Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK. j.slate@shef.ac.uk
Genetica
|September 10, 2008
Summary
Identifying genetic loci linked to fitness variation is crucial for evolutionary biology. This review highlights how single nucleotide polymorphism (SNP) mapping and genome-wide association studies advance this understanding.
Area of Science:
- Evolutionary Biology
- Population Genetics
Background:
- Identifying genetic loci that explain fitness variation in natural populations is a major challenge.
- Understanding the genetic basis of adaptation and fitness is fundamental to evolutionary biology.
Purpose of the Study:
- To review the application of genetic mapping with single nucleotide polymorphism (SNP) markers for identifying fitness-associated loci.
- To discuss strategies for SNP discovery, genotyping, and data modeling in mapping studies.
- To explore the potential of next-generation sequencing and typing technologies for genome-wide association studies (GWAS) of fitness genes.
Main Methods:
- Genetic (linkage) mapping using single nucleotide polymorphism (SNP) markers.
- Description of SNP discovery and genotyping strategies.
- Overview of modeling SNP genotype information in mapping studies.
- Discussion of genome-wide association studies (GWAS) enabled by new sequencing and typing technologies.
Main Results:
- Genetic mapping with SNP markers provides a powerful approach to identify loci influencing fitness variation.
- Established methods for SNP discovery, genotyping, and data analysis facilitate progress in fitness gene mapping.
- Emerging high-throughput technologies are expanding the scope of fitness gene identification through GWAS.
Conclusions:
- Genetic mapping, particularly with SNPs, is a key strategy for dissecting the genetic architecture of fitness in natural populations.
- Advancements in sequencing and typing technologies are revolutionizing the ability to map fitness genes using genome-wide association studies.
- This review provides a framework for leveraging genetic mapping and GWAS to understand evolutionary adaptation and population dynamics.
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