Large-scale studies of the Leu72Met polymorphism of the ghrelin gene in relation to the metabolic syndrome and associated quantitative traits

C Bing; L Ambye; M Fenger; T Jørgensen; K Borch-Johnsen; S Madsbad; S A Urhammer

doi:10.1111/j.1464-5491.2005.01575.x

Large-scale studies of the Leu72Met polymorphism of the ghrelin gene in relation to the metabolic syndrome and associated quantitative traits

C Bing, L Ambye, M Fenger, T Jørgensen, K Borch-Johnsen, S Madsbad, S A Urhammer

51 Citations (Scopus)

Abstract

Recently, low-frequency polymorphisms in the coding region of the ghrelin gene were suggested to be involved in the aetiology of obesity and to modulate glucose-induced insulin secretion in different ethnic study groups. The objective of the present large study was to investigate whether the Leu72Met polymorphism of the ghrelin gene associates with features of the metabolic syndrome (MS) in the Danish population.

Original language	English
Journal	Diabetic Medicine
Volume	22
Issue number	9
Pages (from-to)	1157-60
Number of pages	3
ISSN	0742-3071
DOIs	https://doi.org/10.1111/j.1464-5491.2005.01575.x
Publication status	Published - 2005

Keywords

Adult
Aged
Alleles
Cohort Studies
Denmark
Female
Gene Frequency
Genotype
Ghrelin
Humans
Leucine
Male
Metabolic Syndrome X
Methionine
Middle Aged
Peptide Hormones
Polymorphism, Restriction Fragment Length

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10.1111/j.1464-5491.2005.01575.x

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title = "Large-scale studies of the Leu72Met polymorphism of the ghrelin gene in relation to the metabolic syndrome and associated quantitative traits",

abstract = "Recently, low-frequency polymorphisms in the coding region of the ghrelin gene were suggested to be involved in the aetiology of obesity and to modulate glucose-induced insulin secretion in different ethnic study groups. The objective of the present large study was to investigate whether the Leu72Met polymorphism of the ghrelin gene associates with features of the metabolic syndrome (MS) in the Danish population.",

keywords = "Adult, Aged, Alleles, Cohort Studies, Denmark, Female, Gene Frequency, Genotype, Ghrelin, Humans, Leucine, Male, Metabolic Syndrome X, Methionine, Middle Aged, Peptide Hormones, Polymorphism, Restriction Fragment Length",

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journal = "Diabetic Medicine",

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T1 - Large-scale studies of the Leu72Met polymorphism of the ghrelin gene in relation to the metabolic syndrome and associated quantitative traits

AU - Bing, C

AU - Ambye, L

AU - Fenger, M

AU - Jørgensen, T

AU - Borch-Johnsen, K

AU - Madsbad, S

AU - Urhammer, S A

PY - 2005

Y1 - 2005

N2 - Recently, low-frequency polymorphisms in the coding region of the ghrelin gene were suggested to be involved in the aetiology of obesity and to modulate glucose-induced insulin secretion in different ethnic study groups. The objective of the present large study was to investigate whether the Leu72Met polymorphism of the ghrelin gene associates with features of the metabolic syndrome (MS) in the Danish population.

AB - Recently, low-frequency polymorphisms in the coding region of the ghrelin gene were suggested to be involved in the aetiology of obesity and to modulate glucose-induced insulin secretion in different ethnic study groups. The objective of the present large study was to investigate whether the Leu72Met polymorphism of the ghrelin gene associates with features of the metabolic syndrome (MS) in the Danish population.

KW - Adult

KW - Aged

KW - Alleles

KW - Cohort Studies

KW - Denmark

KW - Female

KW - Gene Frequency

KW - Genotype

KW - Ghrelin

KW - Humans

KW - Leucine

KW - Male

KW - Metabolic Syndrome X

KW - Methionine

KW - Middle Aged

KW - Peptide Hormones

KW - Polymorphism, Restriction Fragment Length

UR - https://www.scopus.com/pages/publications/24044462104

U2 - 10.1111/j.1464-5491.2005.01575.x

DO - 10.1111/j.1464-5491.2005.01575.x

M3 - Journal article

C2 - 16108842

SN - 0742-3071

VL - 22

SP - 1157

EP - 1160

JO - Diabetic Medicine

JF - Diabetic Medicine

IS - 9

ER -

Large-scale studies of the Leu72Met polymorphism of the ghrelin gene in relation to the metabolic syndrome and associated quantitative traits

Abstract

Keywords

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