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Genetic Endocrinology of the Metabolic Syndrome (Paperback)
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Genetic Endocrinology of the Metabolic Syndrome (Paperback)
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Cardiovascular disease and mortality risk are significantly
increased in people with metabolic syndrome, a cluster of
interrelated metabolic disorders including obesity, insulin
resistance, glucose intolerance, dyslipidemia and hypertension. A
complex interplay between predisposing and protective factors
ultimately determines whether an individual will develop this set
of disorders or not. Genetic factors are one of the significant
contributors that predispose to, or protect against, each component
of the metabolic syndrome. As in other complex diseases and traits,
such genetic factors are likely to be multiple and interacting,
with individual polymorphisms producing only a moderate effect. The
identification of genetic variants influencing the metabolic
syndrome is of great importance to understanding pathogenesis,
identifying groups of individuals with different relative risk, and
developing or improving therapies against this cluster of metabolic
disorders. This has greatly stimulated both theoretical and applied
genetic research in recent years. A range of new analytical tools
has been developed for the dissection of complex traits. Applied
genetic analyses have identified large numbers of candidate markers
and chromosomal regions (over 600 for obesity, which represents
only one of the disorders of this cluster). In this chapter, the
authors present a basic overview of the genetic approaches
currently used for the identification of candidate genetic factors
involved in the metabolic syndrome. The authors also summarise
current evidence suggesting that genetic variants within elements
of the endocrine system are directly involved in the risk of the
metabolic syndrome. The authors focused their attention on
endocrine pathways for which candidate genetic variants have been
identified, and they introduced the foundations of a new hypothesis
which postulates the involvement of a network of endocrine genetic
setpoints as a combined contributor to the risk of the metabolic
syndrome.
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