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Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
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Association mapping: critical considerations shift from genotyping to experimental design.

Sean Myles1, Jason Peiffer, Patrick J Brown

  • 1Institute for Genomic Diversity, Cornell University, Ithaca, New York 14853-2703, USA. smm367@cornell.edu

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Plant scientists can explain phenotypic variation using DNA. Combining linkage and association mapping offers a powerful, cost-effective approach to identify genes underlying variation.

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Area of Science:

  • Plant genetics
  • Genomics
  • Quantitative genetics

Background:

  • Explaining natural phenotypic variation is a key goal in plant science.
  • Traditional linkage mapping relies on experimental crosses and cosegregation analysis.
  • Association mapping, or linkage disequilibrium mapping, is gaining traction, especially in vertebrate systems.

Purpose of the Study:

  • To highlight the complementary nature of linkage and association mapping in plants.
  • To discuss optimizing experimental design for gene discovery.
  • To leverage plant-specific advantages for increased mapping power and resolution.

Main Methods:

  • Review of linkage mapping principles and application in plants.
  • Review of association mapping principles and application in plants.
  • Discussion on integrating controlled crosses with association mapping.

Main Results:

  • Linkage and association mapping are complementary, not mutually exclusive.
  • Plants can benefit from both controlled crosses and association mapping for gene identification.
  • Inexpensive genotyping necessitates a focus on experimental design for optimal results.

Conclusions:

  • Integrating linkage and association mapping strategies enhances statistical power and resolution in plants.
  • Optimizing the experimental mix of these mapping approaches is crucial for identifying genes responsible for phenotypic variation.
  • Future research should focus on experimental design to fully exploit modern genotyping technologies.