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Genetics of global gene expression

Rockman, Matthew V., Kruglyak, Leonid·2006·Nature Reviews Genetics

Abstract

A new field of genetic analysis of global gene expression has emerged in recent years, driven by the realization that traditional techniques of linkage and association analysis can be applied to thousands of transcript levels measured by microarrays. Genetic dissection of transcript abundance has shed light on the architecture of quantitative traits, provided a new approach for connecting DNA sequence variation with phenotypic variation, and improved our understanding of transcriptional regulation and regulatory variation.

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Metadata

Authors
Rockman, M. V., & Kruglyak, L.
Affiliations
Princeton University (US)
Corresponding author
Kruglyak, Leonid
Venue
Nature Reviews Genetics
Published
2006-11
Volume
7
Issue
11
Pages
862-872
ISSN
  • 1471-0056 (ISSN-L)
  • 1471-0064
OpenAlex
W2040912377
Cited by
666
References
0
Citations by year
2026: 9 · 2025: 18 · 2024: 18 · 2023: 19 · 2022: 24 · 2021: 50 · 2020: 27 · 2019: 35 · 2018: 26 · 2017: 29 · 2016: 36 · 2015: 33 · 2014: 41 · 2013: 39 · 2012: 41
FWCI
4.66
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Reviews Genetics (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • James S. McDonnell Foundation
  • Jane Coffin Childs Memorial Fund for Medical Research
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
Keywords
global gene expression, mRNA levels, quantitative traits, transcriptional regulation, regulatory variation, DNA sequence variation, phenotypic variability, gene expression microarrays, linkage analysis, association analysis
MeSH terms
Amino Acid Sequence, Animals, Fungal Proteins, Genetic Techniques, Humans, Molecular Sequence Data, Transcription, Genetic, Genetic Variation, Yeasts, Gene Expression, Sequence Homology, Amino Acid, Quantitative Trait Loci

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