Jump to: Page Content, Site Navigation, Site Search,
You are seeing this message because your web browser does not support basic web standards. Find out more about why this message is appearing and what you can do to make your experience on this site better.
Ruby C Y Lin Gene Laboratory, Department of Physiology and
Institute for Biomedical Research, Building F13, University of Sydney,
Sydney, NSW 2006, Australia
Correspondence to: B J Morris brianm{at}physiol.usyd.edu.au
A possible link between the glucocorticoid receptor
gene (GRL, 5q31-q32) and overweight has been suggested in a
study of 42 families with morbid obesity.1 Data from
another small study All participants lived in or near Sydney and had responded to
requests to take part in a study that involved DNA testing. Because of
the interaction between obesity and hypertension we selected subjects
on the basis of a positive or negative family history of hypertension
and tested them separately. Group 1 was recruited from donors at the
Sydney Blood Bank and comprised 195 subjects who were normotensive
offspring of two normotensive parents. Group 2 comprised 124 subjects
recruited by public advertising for people with essential hypertension
whose parents also had hypertension. Mean body mass index was 26 (SD 4)
in group 1 and 26 (SD 5) in group 2; mean age was 48 (SD 10) years and
52 (SD 12) years respectively; percentage of male participants was 57% and 49% respectively; and blood pressure was 120 (SD 11)/73 (SD 8) mm
Hg and 173 (SD 24)/110 (SD 17) mm Hg respectively.
Each group was divided into two subgroups: lean (body mass index
The frequency of the Ser363 variant (number of Ser363 alleles divided
by total number of alleles) in each group was similar (7.4% (95%
confidence interval 4.8% to 10.0%) in group 1 v 6.0% (3.1% to 9.0%) in group 2), with 12.3% (7.7% to 16.9%) in group 1 being carriers (that is, they had one or two alleles) and 10.5% (5.1%
to 15.9%) in group 2. In participants with body mass index
We found that the Ser363 variant of the glucocorticoid
receptor confers a virtually absolute likelihood of being
overweight
of pairs of siblings
although not significant,
showed a trend towards similar body mass index
(weight(kg)/(height(m)2); difference=2.4) for 20 pairs sharing similar alleles compared with 19 pairs having discordant
alleles (difference=3.5).2 An Asn363Ser variant, caused by
a single nucleotide difference (A1218G) in exon 2 of GRL has
since shown an association with increased sensitivity to
glucocorticoids.3 Because of the predisposition to a rise
in body mass index that this increased sensitivity should cause,
we tested this variant for association with overweight in two groups of
non-diabetic white subjects of British descent.
![]()
Methods and results
Top
Methods and results
Comment
References
25) and overweight (>25). Genotyping was performed on leucocyte DNA
using polymerase chain reaction primers described
previously4 and Tsp509I digestion of polymerase
chain reaction products, which gave a band of 134 base pairs for the
Asn363 variant and 153 base pairs for the Ser363 variant, together with
a band of 95 base pairs for both.
25 the
Ser363 allele was rare (1.8% in group 1 and 0% in group 2). All
Ser/Ser homozygotes were overweight, as were all Asn/Ser heterozygotes
in group 2 and 80% of Asn/Ser heterozygotes in group 1 (table).
Association with overweight was highly significant (table), with
overall penetrance in participants with the Ser363 variant being 83%
in group 1 and 100% in group 2. Consistent with this, the higher the
body mass index, the more likely the subject was to have the Ser363
variant (table).
![]()
Comment
Top
Methods and results
Comment
References
unlike most markers of overweight, which confer only a
slight increase in likelihood. The allele is relatively common. Given
the difference in response to various modalities of intervention
according to genetic propensity to increased body mass index for a
variant in another gene,5 our finding of almost complete
penetrance of Ser363 genotypes to an overweight phenotype suggests that
use of this marker could be important in clinical management.
| |
Acknowledgments |
|---|
Contributors: RCYL performed the genotyping, WYSW provided guidance with study design and performed statistical analyses, and BJM conceived the idea for the project and directed the research. All authors contributed to the drafting of the paper. BJM will act as guarantor.
| |
Footnotes |
|---|
Funding: The study was supported by a grant from the National Health and Medical Research Council of Australia.
Competing interests: None declared.
| |
References |
|---|
|
|
|---|
| 1. | Clement K, Philippi A, Jury C, Pividal R, Hager J, Demenais F, et al. Candidate gene approach of familial morbid obesity: linkage analysis of the glucocorticoid receptor gene. Int J Obesity 1996; 20: 507-512[Medline]. |
| 2. |
Takami S, Wong ZYH, Stebbing M, Harrap SB.
Linkage analysis of glucocorticoid and 2-adrenergic receptor genes with blood pressure and body mass index.
Am J Physiol
1999;
276:
H1379-H1384 |
| 3. |
Huizenga NATM, Koper JW, deLange P, Pols HAP, Stolk RP, Burger H, et al.
A polymorphism in the glucocorticoid receptor gene may be associated with increased sensitivity to glucocorticoids in vivo.
J Clin Endocrin Metab
1998;
83:
144-151 |
| 4. | Koper JW, Stolk RP, de Lange P, Huizengo NATM, Molijn G-J, Pols HAP, et al. Lack of association between five polymorphisms in the human glucocorticoid receptor gene and glucocorticoid resistance. Hum Genet 1997; 99: 663-668[Medline]. |
| 5. |
Meirhaeghe A, Helbecque N, Cottel D, Amouyel P.
2-adrenoceptor gene polymorphism, body weight, and physical activity.
Lancet
1999;
353:
895-896[Medline].
|
(Accepted 30 July 1999)
Read all Rapid Responses