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Identification of Susceptibility Genes for Complex Metabolic Diseases
Author(s) -
BOGARDUS CLIFTON,
BAIER LESLIE,
PERMANA PASKA,
PROCHAZKA MICHAL,
WOLFORD JOHANNA,
HANSON ROBERT
Publication year - 2002
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1111/j.1749-6632.2002.tb04257.x
Subject(s) - mendelian inheritance , identification (biology) , gene , genetics , biology , computational biology , hyperlipidemia , bioinformatics , diabetes mellitus , endocrinology , botany
A bstract : There are few successful attempts to identify genes for common, non‐Mendelian diseases such as diabetes, hyperlipidemia, hypertension, etc. Such common disorders are typically both metabolically and genetically complex and the genetic technologies to identify their underlying susceptibility genes are still in their infancy. Nonetheless, genetic strategies have emerged that, when the technologies are fully developed, should allow similar success rates as for Mendelian diseases.