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Cell
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
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Cell
Article . 2007 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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Genomics Select

Genomics Select

Abstract

The incredible leaps in technology that now make high-speed genome sequencing possible are revolutionizing the hunt for genes and genetic variations associated with disease. A stunning series of recent genome-wide association studies (GWAS) have identified new candidate genes for a number of common diseases including breast cancer, heart disease, diabetes type I and II, obesity, Crohn's disease, multiple sclerosis, glaucoma, and asthma. This Genomics Select highlights several of the most recent GWAS and also explores how a genome-wide approach can be used to address intriguing questions in cell and molecular biology.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid
Related to Research communities
Cancer Research