help button home button Endocrine Society JCEM
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Copyright Permission
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Chagnon, Y. C.
Right arrow Articles by Bouchard, C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Chagnon, Y. C.
Right arrow Articles by Bouchard, C.
The Journal of Clinical Endocrinology & Metabolism Vol. 85, No. 1 29-34
Copyright © 2000 by The Endocrine Society


From The Clinical Research Centers

Associations between the Leptin Receptor Gene and Adiposity in Middle-Aged Caucasian Males from the HERITAGE Family Study1

Yvon C. Chagnon, Jack H. Wilmore, Ingrid B. Borecki, Jacques Gagnon, Louis Pérusse, Monique Chagnon, Gregory R. Collier, Arthur S. Leon2, James S. Skinner, D. C. Rao and Claude Bouchard3

Physical Activity Sciences Laboratory (Y.C.C., J.G., L.P.), Laval University, Ste-Foy, Québec, Canada, G1K 7P4; Department of Health and Kinesiology (J.W.), Texas A&M University, College Station, Texas 77843-4243; Washington University School of Medicine (I.B.B., D.C.R.), Division of Biostatistics, St. Louis, Missouri 61330; School of Nutrition and Public Health (G.R.C.), Deakin University, Geelong 3217, Victoria, Australia; School of Kinesiology and Leisure Studies (A.S.L.), Minnesota University, Minneapolis, Minnesota 55455; Department of Kinesiology (J.S.S.), Indiana University, Bloomington, Indiana 47405; and Pennington Biomedical Research Center (M.C., C.B.), Louisiana State University, Baton Rouge, Louisiana 70808

Address correspondence and requests for reprints to: Yvon C. Chagnon, Ph.D., Physical Activity Sciences Laboratory, Kinesiology, PEPS 0212, Laval University, Ste-Foy, Québec, Canada, G1K 7P4. E-mail: yvon.chagnon{at}kin.msp.ulaval.ca


    Abstract
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Linkage and association studies between three exonic polymorphisms in the leptin receptor gene and body composition variables in the HERITAGE Family Study were undertaken. Polymorphisms K109R, Q223R, and K656N have been analyzed with body mass index (BMI), sum of height skinfolds (SF8), fat mass (FM), percent body fat (%FAT), fat free mass, and plasma leptin level. Single-point linkage analysis and covariance analysis across genotypes were performed, by race, on phenotypes adjusted for age and sex. Blacks (88 parents; 231 adult offspring) from 115 nuclear families (72–119 sibpairs) and Caucasians (192 parents; 330 adult offspring) from 99 nuclear families (319–364 sibpairs) were used for these analyses. In Caucasians, BMI and FM showed suggestive linkages with K109R (P = 0.02 and P = 0.05, respectively) and associations with Q223R (P = 0.005 and P = 0.03, respectively). In blacks, no statistically significant linkage or association was observed. In Caucasians, associations with Q223R were observed in parents, but not in offspring, for BMI, FM, and %FAT (0.04 <= P <= 0.0001). Males, not females, showed differences across genotypes for the same phenotypes plus SF8 and leptin (0.03 <= P <= 0.0002). Carriers of the R223 allele showed higher values than noncarriers for BMI (+4 U, P = 0.0001), SF8 (+30 mm, P = 0.01), FM (+7 kg, P = 0.0004), %FAT (+5%, P = 0.0002), and leptin (+4 ng/mL, P = 0.0006). These results indicate a significant effect of leptin receptor on adiposity in middle-aged Caucasian males.


    Introduction
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
RODENT LEPTIN (LEP) and leptin receptor (LEPR) gene products have defined a new biological pathway for the regulation of food intake and energy expenditure. Leptin is released from adipocytes as a signal of body fat stores and acts as a satiety factor with its receptor located mainly in the hypothalamus, a brain area known to be involved in the regulation of food intake. The LEP and LEPR genes have been cloned in humans (1, 2),and mapped to 7q31.3 (3) and 1p31 (4, 5), respectively. In recent studies, two mutations in LEP (6, 7) and one in LEPR (8) have been shown to produce severe early-onset obesity, with concomitant perturbations of different hormonal and physiological processes. Similarly, mutations producing severe obesity in humans were also reported in three other genes: the prohormone convertase one (9), the POMC (10), and the melanocortin receptor 4 (11, 12). However, all these single-gene mutations explain few obesity cases, and the causes of the genetic predisposition for the majority of the human obesity cases remain unexplained.

No linkages were observed between markers in the vicinity of LEPR and adiposity in Pima Indians (13, 14) and in French subjects (15), whereas positive linkages were observed in the Québec Family Study (16). On the other hand, some 19 polymorphisms have been reported in the human LEPR among the 20 different exons and introns of the gene (15, 17, 18, 19, 20, 21, 22, 23, 24). The potential effects of these polymorphisms have been evaluated in different populations, with few positive results. In Pima Indians, allele frequencies were shown to be different between 10 lean and 10 obese subjects for 2 intronic and 1 exonic nucleotide changes (P = 0.003) and for haplotypes of the same 3 allelic variants and a Q223R substitution (P = 0.001) (20). Association was also reported between a pentanucleotide insertion/deletion polymorphism in the 3'untranslated region of LEPR and insulin levels in obese subjects, particularly in females, in the fasted state (P = 0.0004) or after an oral glucose tolerance test (P = 0.02) (15, 24). In both cases, carriers of the insertion allele showed lower insulin values. In the Québec Family Study, linkages (0.004 <= P <= 0.02) were observed between LEPR and different adiposity and body composition variables, the strongest results being observed between Q223R and fat mass (FM; P = 0.004) and between a CTTT repeat in intron 16 and fat free mass (FFM; P = 0.006) (25). In the latter study, carriers of the Q223 allele had 4 kg less FFM (P = 0.005) in males with a body mass index (BMI) < 27 kg/m2. The same was true for carriers of the less frequent allele at a CTTT repeat (P = 0.005) in women with a BMI >= 27 kg/m2 (25). On the other hand, negative results were reported for Q223R and for other polymorphisms in American (17, 26); British (21), except for a weak association between a K656N substitution and BMI in lean (BMI < 22 kg/m2) male subjects (P = 0.02); Danish (22); Japanese (23); and French (15) populations.

We have analyzed three polymorphisms (K109R, Q223R, and K656N) located in exons 4, 6, and 14 of LEPR to test for linkage and association with adiposity and body composition variables in the HERITAGE Family Study. The HERITAGE cohort includes Caucasian subjects, but also blacks who have not been investigated yet for variation in LEPR.


    Subjects and Methods
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Subjects and phenotypes

The HERITAGE Family Study cohort has been previously described (27). HERITAGE included nonascertained (according to obesity) black and Caucasian nuclear families from the greater Québec City; Phoenix, AZ; Minneapolis, MN; Austin, TX; and Indianapolis, IN areas. Subjects were tested for a battery of morphometric and physiological variables before and after a 20-week exercise program. The study protocol had been previously approved by the Human Subjects Committee at each participating institution. Informed written consent was obtained from each subject. Only baseline data, i.e. before the exercise program, were used for the present study. Blood samples were obtained for various biochemical assays, and permanent lymphoblastoid cell lines were established for the extraction of DNA. A total of 319 black subjects (88 parents and 231 offspring) from 115 families and 522 Caucasians (192 parents and 330 offspring) from 99 families were available for the study. Dependent variables include BMI (weight in kg divided by height in m2) and percent body fat (%FAT) estimated from body density measurements obtained by underwater weighing and the equations of Siri (28) and Lohman (30) for Caucasian men and women, respectively, and of Schutte (31) and Ortiz (32) for black men or women, respectively. FM (kg) and FFM (kg) were calculated from %FAT body fat and body weight. Pulmonary residual volume was assessed by the helium dilution technique (33) or oxygen dilution (34, 35) techniques. Subcutaneous fat (mm) was estimated by the sum of height skinfold thicknesses (SF8 = abdominal, subscapular, suprailiac, medial calf, triceps biceps, midaxillary, and thigh). Leptin level (ng/mL) was evaluated by an RIA (Linco Research, Inc., St. Charles, MO) in which the lowest quantity detectable was 0.5 ng/mL in plasma.

Molecular analysis

Genomic DNA was prepared from permanent lymphoblastoid cells by the proteinase K and phenol/chloroform technique. DNA was dialyzed four times against TE buffer (10 mmol/L Tris, 1 mmol/L EDTA, pH 8.0) for 6 h at 4 C, and ethanol was precipitated. The three restriction fragment length polymorphisms analyzed have been described elsewhere (19). PCR was performed on a Perkin-Elmer Corp. 9600 apparatus using 100 or 200 ng genomic DNA, 300 nmol/L of each primer, 200 µmol/L deoxynucleotides, and 0.5 U Taq polymerase in PCR buffer (Roche Molecular Biochemicals, Laval, SC) with 1.5 mmol/L MgCl2, for a final vol of 10 µL. PCR cycles consisted of 40 cycles at 94 C for 30 sec, annealing at 55 C for 30 sec, and extension at 72 C for 30 sec, with a final extension of 10 min at 72 C. PCR products were digested for 12 h at 37 C with 5 U HaeIII, 5 U MspI, or 5 U Bst UI restriction enzymes, an isoschizomer of the Mvn I enzyme used originally (19), for the K109R, Q223R, and K656N polymorphisms, respectively. The resulting fragments were separated on 2.5–3% agarose gels.

Statistical analysis

Phenotypic variables were adjusted, within race, sex and age groups, with the latter defined as lower then 35, between 35 and 50, and more than 50 yr old, for age, age2, and age3 using a regression procedure in which outliers (±3 SD) were excluded for the estimation of the regression parameters. Residuals from all subjects, including outliers, were then standardized to a mean of 0 and an SD of 1. The sibpair linkage analysis was performed on nuclear families using the SIBPAL version 3.0 software from S.A.G.E. (Statistical Analysis for Genetic Epidemiology) (36) with the population allele frequencies estimated, by race, from unrelated subjects. Association studies were undertaken on all subjects from both generations, because pooling all family members in each race produced unbiased residuals, even in the presence of extremely correlated clusters (Province MA, Rice T, Rao PC, unpublished data). Phenotypes were compared between genotypes using covariance analysis with the same covariates as for linkage analysis plus clinical center of origin. A chi-square test was used to compare allele frequencies and genotype distributions between black and Caucasian subjects and to test for Hardy-Weinberg equilibrium of the genotype distribution of the polymorphisms. Statistical Analysis System (version 6.08) for PC was used for the analysis.


    Results
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
The allele frequencies for blacks and Caucasians for the K109R, Q223R, and K656N polymorphisms in LEPR, and the haplotypes of these three polymorphisms, are presented in Table 1Go. A Hardy-Weinberg equilibrium is observed for the three polymorphisms and their haplotypes within both races. The allele frequencies for Caucasians in the HERITAGE Family Study are similar to those reported in the Québec Family Study, whereas blacks differ significantly from Caucasians for genotype and allele distributions at the K109R polymorphism (Table 2Go). The allele frequencies are comparable with those observed in British (21), Danish (22), American (26), and French (20) Caucasian populations. Both blacks and Caucasians from the HERITAGE Family Study, as well as Caucasians from other populations, exhibit differences for K109R with Pima Indians, and for Q223R with Japanese and Pima Indians (Table 1Go). Therefore, allelic variations in LEPR are characterized by a significant race component with black, Japanese, and Pima Indian populations, showing specific allelic frequency differences among them, whereas Caucasian subpopulations exhibit homogeneous frequencies. Similar differences in haplotype frequencies (Table 1BGo) are observed between blacks and Caucasians in HERITAGE, with four out of the six observed haplotypes showing significant differences (0.04 <= P <= 0.001). The three polymorphisms are also strongly in linkage disequilibrium in Caucasians ({chi}2 = 166.38; 7 df; P < 0.0001) and weakly in blacks ({chi}2 = 18.07; 7 df; P < 0.02). Taken two by two, K109R and Q223R showed the strongest disequilibrium in Caucasians ({chi}2 = 114.04; df = 3; P < 0.001), whereas no disequilibrium were observed in blacks (P > 0.05).


View this table:
[in this window]
[in a new window]
 
Table 1. Allele frequencies (±SE) for three exonic polymorphisms in the LEPR gene in the HERITAGE Family Study, the Québec Family Study, and in two other populations

 

View this table:
[in this window]
[in a new window]
 
Table 2. Chi-Square test at three different exonic polymorphisms in the LEPR gene between Blacks and Caucasians in the HERITAGE Family Study

 
Descriptive statistics for the different phenotypic variables in the HERITAGE Family Study for blacks and Caucasians, within each of the four generations, by sex groups, are shown in Table 3Go. Mean BMI for unrelated subjects of both sexes from the parental generation was 28.8 kg/m2 in blacks (n = 88; range, 19–43) and 28.0 kg/m2 in Caucasians (n = 192; range, 19–48 kg/m2). In parents, normal-weight (BMI < 25 kg/m2), overweight (25 <= BMI < 30 kg/m2), and obese (BMI >= 30 kg/m2) subjects (38) are present in both blacks (22%, 43%, and 35%, respectively) and Caucasians (27%, 42%, and 31%, respectively), with no significant difference in the distribution between the two groups ({chi}2 = 1.099; 2 df; P = 0.58). Similarly, no significant differences in the leptin levels, adjusted for age and sex, were observed between black and Caucasian parents. Black children had a lower mean BMI, of 27.7 kg/m2 (n = 231, range, 17–51), and a different BMI distribution (42%, 27%, and 32%, respectively) than their parents. Similarly, Caucasian children are leaner than their parents, with a mean BMI of 24.6 kg/m2 (n = 330, range, 17–44 kg/m2) and a BMI distribution of 63%, 24%, and 13%, respectively. Fifty seven percent (black males) to 74% (Caucasian males) of the leptin variance is explained by the FM of the subjects.


View this table:
[in this window]
[in a new window]
 
Table 3. Number of subjects (N), mean and range by race, generation and sex for each phenotypic variable

 
For the single-locus sibpair linkage analysis (Table 4Go), the number of sibpairs varied, depending on marker and phenotype, with a range from 75–119 pairs in blacks and 317–364 pairs in Caucasians. Suggestive linkages were observed in Caucasians for K109R with BMI (P = 0.02) and FM (P = 0.05), with borderline P values of 0.10 for SF8 and 0.11 for FFM. No statistically significant linkage was observed in blacks.


View this table:
[in this window]
[in a new window]
 
Table 4. Sibpair linkage results between allelic variation in the gene and adiposity-related variables

 
Evidence of association has been observed only in Caucasians and for the Q223R polymorphism with BMI (P = 0.005) and FM (P = 0.03) (Table 5Go). No evidence of association was observed in blacks, and in Caucasians for the K109R and K656N polymorphisms. Association analyses for Q223R were also performed in Caucasians for each generation and sex separately (Table 5Go). Only parents were characterized by significant associations with BMI, FM, and %FAT (0.04 <= P <= 0.0001). Moreover, in Caucasian parents, males (not females) showed differences for the same phenotypes, plus SF8 and leptin (0.03 <= P <= 0.0002). In these subjects, carriers of the R223 allele showed higher values than noncarriers for BMI (+4 units, P = 0.0001), SF8 (+30 mm, P = 0.01), FM (+7 kg, P = 0.0004), %FAT (+5%, P = 0.0002), and leptin (+4 ng/mL, P = 0.0006). Haplotype analysis (data not shown) yielded weak evidence of association in Caucasians only, with carriers of the K109/Q223/K656 haplotype showing a lower BMI (-1 unit, P = 0.04) and FM (-2 kg, P = 0.04), and carriers of the R109/R223/K656 haplotype a slightly higher BMI value (+1 unit, P = 0.05) than other haplotypes.


View this table:
[in this window]
[in a new window]
 
Table 5. Covariance analysis in Caucasians of the body composition variables by generation and sex for the Q223R polymorphism in the LEPR gene

 

    Discussion
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Significant differences in allele and genotype frequencies for the K109R polymorphism and for haplotypes of the three exonic polymorphisms studied have been observed between black and Caucasian subjects in the HERITAGE Family Study cohort. This difference in allele frequencies does not seem to be related to adiposity or body composition, because this polymorphism did not show any linkage or association with these phenotypes in blacks. Similarly, in Pima Indians, who showed an even stronger difference in allele frequencies at K109R with Caucasian groups, no apparent relation with obesity was observed (20).

Here, we report weak evidence of linkages for K109R in Caucasians with BMI and FM (Table 4Go) but without association (data not shown). In contrast, no linkage was observed for Q223R, but strong associations were found (Table 5Go). We obtained the same kind of nonconsistent results in the Québec Family Study for Q223R, which showed strong positive linkages with adiposity phenotypes but negative associations (25). This is what is expected under linkage equilibrium. For instance, polymorphims K109R and Q223R are in strong linkage in Caucasians ({chi}2 = 114.04, 3df; P < 0.001) but not in blacks ({chi}2 = 7.33, 3 df; P > 0.05). Evidence for linkage does not depend on which allele is shared by sibs. In contrast, associations are detected by the apparent effects of a marker with such a functional mutation. Consequently, linkage can be observed with a specific locus without allelic association and vice-versa, particularly as here, when the two polymorphisms are in linkage disequilibrium. Moreover, association analysis is more sensitive than linkage analysis, and so association can be detected without linkage. The Q223R polymorphism exhibited evidence of an association in Caucasians only, and, more particularly, in parents (Table 5Go). Caucasian adult offspring are leaner than their parents, as reflected by mean BMI and BMI classes distribution. They are also younger, with no overlap in age range (Table 3bGo). Similar differences are observed in blacks (Table 3aGo). Differences in the association results between black and Caucasian parents could come from a race effect on LEPR expression, because biological characteristics, such as BMI and age, are similar. The difference between blacks and Caucasians for allele and haplotype distributions, and the presence (Caucasians) or absence (blacks) of linkage disequilibrium between the markers, support the hypothesis that two different gene pools have been sampled. These differences in LEPR expression could come from modulating or permissive factors acting on different genetic backgrounds, as has been described in rodent models of obesity (39, 40, 41). In Caucasians, associations were observed only in males, whereas younger and leaner subjects showed no effect of LEPR polymorphisms.

Negative results have been reported for the Q223R polymorphism in other Caucasian populations. In a study of American subjects, a comparison across genotypes was performed for obese subjects only, with males and females pooled together (26). Similarly, a negative association with BMI was reported in British males with a BMI < 28 kg/m2 or with a BMI >= 28 kg/m2, analyzed separately (21). In the present study, if Caucasian male parents are divided into the same two BMI categories (BMI < 28 kg/m2 vs. BMI >= 28 kg/m2), no associations with Q223R are observed with BMI (P = 0.23 and P = 0.21, respectively). Finally, in a Danish study, (22) homozygotes for Q223 allele were not included in the comparison of BMI across Q223R genotypes, and we observed here that the main differences are precisely between carriers of the R223 allele and the Q223Q homo-zygotes.

Two duplicate cytokine domains (C domain) have been reported in LEPR (2) that represent two putative leptin binding regions. The Q223R substitution is located in exon 6 within the first C domain. The Zucker rat mutation in the LEPR (Leprfa) is located in the first C domain of LEPR (19). Leprfa involves the substitution of a glutamine (Q) residue at position 269 (270 in humans) for a proline (P) residue, which affects the functionality of the receptor (42, 43, 44, 45). The Q223R polymorphism has been shown, in the present study, to be associated with adiposity variables such as BMI, SF8, FM, %FAT, and leptin. The Q223R polymorphism was also linked to BMI, SF6, and FM in the Québec Family Study (25). It could be hypothesized that the single amino acid change, a glutamine for an arginine, observed at the residue 223 in human exon 6, changes the signaling capacity of LEPR, as is observed for the Leprfa mutation in rat (42, 43, 44, 45). This single substitution effect could be comparable with the arginine to tryptophane substitution at codon 105 in the human LEP gene, which is sufficient to impair the normal processing of leptin through the secretory pathway (7).

Associations in the HERITAGE Family Study and linkages in the Québec Family Study were detected for the Q223R polymorphism but without reciprocal linkages in the present study or associations in the Québec Family Study. Differences in the proportion of lean, overweight, or obese subjects among the two groups are observed (27%, 42%, and 31%, respectively in HERITAGE vs. 48%, 27%, and 25%, respectively in the Québec Family Study). On the other hand, subjects from the Québec Family Study were exclusively of French descent, from the immediate region of Québec City, whereas Caucasians from the HERITAGE Family Study were recruited in Québec City but also at three centers in the United States. When the two subgroups are analyzed separately, it can be seen that similar (BMI, P = 0.004 vs. 0.02; FM, P = 0.07 vs. 0.05) and divergent (SF8, P = 0.52 vs. 0.12; %FAT, P = 0.46 vs. 0.09; leptin, P = 0.59 vs. 0.07) results are observed between subjects from the United States and Québec. Fewer Caucasians are available from the Québec Clinical Center, compared with the United States Clinical Centers (~70 vs. 120) for these analyses, but higher mean values of the different phenotypes for the R223 allele carriers are noted in both subsamples of Caucasians (data not shown).

In conclusion, there is a significant effect of the Q223R LEPR polymorphism on adiposity in humans. The effect is observed among middle-aged male Caucasians only, with carriers of the R223 allele exhibiting higher mean adiposity values. The specific effect of the Q223R substitution on the functionality of the LEPR remains to be investigated.


    Footnotes
 
1 The HERITAGE Family Study is supported by the National Heart, Lung, and Blood Institute through the following grants: HL-45670 (to C.B.); HL-47323 (to A.S.L.); HL-47317 (to D.C.R.); HL-47327 (to J.S.S.); and HL-47321 (to J.H.W.). Credit is also given to the University of Minnesota Clinical Research Center, NIH Grant MO1-RR000400. The results of this paper were obtained, in part, by using the program S.A.G.E. which is supported by U.S. Public Health Service Resource Grant 1P41RR03655 from the National Center for Research Resources. Back

2 Partially supported by the Henry L. Taylor endowed Professorship in Exercise Science and Health Enhancement. Back

3 Supported by the Donald B. Brown Research Chair on Obesity funded by the Medical Research Council of Canada and Hoffmann-La Roche Canada. Back

Received December 21, 1998.

Revised June 25, 1999.

Revised August 23, 1999.

Accepted September 3, 1999.


    References
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 

  1. Zhang Y, Proenca R, Maffel M, Barone M, Leopold L, Friedman JM. 1994 Positional cloning of the mouse obese gene and its human homologue. Science. 372:425–432.
  2. Tartaglia LA, Dembski M, Weng X et al. 1995 Identification and expression cloning of a leptin receptor, OB-R. Cell. 83:1263–1271.[CrossRef][Medline]
  3. Green ED, Maffei M, Braden VV, et al. 1995 The human obese (OB) gene: RNA expression pattern and mapping on the physical, cytogenetic, and genetic maps of chromosome 7. Genome Res. 5:5–12.[Abstract/Free Full Text]
  4. Chung WK, Power-Kehoe L, Chua M, Leibel RL. 1996 Mapping of the OB receptor (OBR) to 1p in a region of non-conserved gene order from mouse and rat to human. Genome Res. 6:431–438.[Abstract/Free Full Text]
  5. Winick JD, Stoffel M, Friedman JM. 1996 Identification of microsatellite markers linked to the human leptin receptor gene on chromosome 1. Genomics. 36:221–222.[CrossRef][Medline]
  6. Montague CT, Farooqi IS, Whitehead JP, et al. 1997 Congenital leptin deficiency is associated with severe early-onset obesity in humans. Nature. 387:903–908.[CrossRef][Medline]
  7. Strobel A, Issad T, Camoin L, Ozata M, Strosberg DA. 1998 A leptin missense mutation associated with hypogonadism and morbid obesity. Nat Genet. 18:213–215.[CrossRef][Medline]
  8. Clément K, Vaisse C, Lahlou N, et al. 1998 A mutation in the human leptin receptor gene causes obesity and pituitary dysfunction. Nature. 392:398–401.[CrossRef][Medline]
  9. Jackson RS, Creemers JWM, Ahagi S, et al. 1998 Obesity and impaired prohormone processing associated with mutations in the human prohormone convertase 1 gene. Nat Genet. 16:303–306.
  10. Krude H, Biebermann H, Luck W, Horn R, Brabant G, Grüters A. 1998 Severe early-onset obesity, adrenal insufficiency and red hair pigmentation caused by POMC mutations in humans. Nat Genet. 19:155–157.[CrossRef][Medline]
  11. Yeo GSH, Farooqi S, Aminian S, Halsall DJ, Stanhope RG, O’Rahilly S. 1998 A frameshift mutation in MC4R associated with dominantly inherited human obesity. Nat Genet. 20:111–112.[CrossRef][Medline]
  12. Vaisse C, Clément K, Guy-Grand B, Froguel P. 1998 A frameshift mutation in human MC4R is associated with a dominant form of obesity. Nat Genet. 20:113–114.[CrossRef][Medline]
  13. Norman RA, Leibel RL, Chung WK, et al. 1996 Absence of linkage of obesity and energy metabolism to markers flanking homologues of rodent obesity genes in Pima Indians. Diabetes. 45:1229–1232.[Abstract]
  14. Norman RA, Tataranni PA, Pratley R, et al. 1998 Autosomal genomic scan for loci linked to obesity and energy metabolism in Pima Indians. Am J Hum Genet. 62:659–668.[CrossRef][Medline]
  15. Francke S, Clément K, Dina C, et al. 1997 Genetic studies of the leptin receptor gene in morbidly obese French Caucasian families. Hum Genet. 100:491–496.[CrossRef][Medline]
  16. Chagnon YC, Pérusse L, Lamothe M, et al. 1997 Suggestive linkages between markers on human 1p32–p22 and body fat and insulin levels in the Quebec Family Study. Obes Res. 5:115–121.[Medline]
  17. Considine RV, Considine EL, Williams CJ, Hyde TM, Caro JF. 1996 The hypothalamus leptin receptor in humans: identification of incidental sequence polymorphisms and absence of the db/db mouse and fa/fa rat mutations. Diabetes. 19:992–994.
  18. Chung WK, Power-Kehoe L, Chua M, Lee R, Leibel RL. 1996 Genomic structure of the human OB receptor and the identification of two novel intronic microsatellites. Genome Res. 6:1192–1199.[Abstract/Free Full Text]
  19. Chung WK, Power-Kehoe L, Chua M, et al. 1997 Exonic and intronic variation in the leptin receptor (OBR) of obese humans. Diabetes. 46:1509–1511.[Medline]
  20. Thompson DB, Ravussin E, Bennett PH, Bogardus C. 1997 Structure and sequence variation at the human leptin receptor gene in lean and obese Pima Indians. Hum Mol Genet. 6:675–679.[Abstract/Free Full Text]
  21. Gotoda T, Manning BS, Goldstone AP, et al. 1997 Leptin receptor gene variation and obesity: lack of association in a white British male population. Hum Mol Genet. 6:869–876.[Abstract/Free Full Text]
  22. Echwald SM, Sorensen TD, Sorensen TIA, et al. 1997 Amino acid variants in the human leptin receptor: lack of association to juvenile onset of obesity. Biochem Biophys Res Commun. 233:248–252.[CrossRef][Medline]
  23. Matsuoka N, Ogawa Y, Hosoda K, et al. 1997 Human leptin receptor gene in obese Japanese subjects: evidence against either obesity-causing mutations or association of sequence variants with obesity. Diabetologia. 40:1204–1210.[CrossRef][Medline]
  24. Oksanen L, Kaprio J, Mustajoki P, Kontula K. 1998 A common pentanucleotide of the 3'-untranslated part of the leptin receptor gene generates a putative stem-loop motif in the mRNA and is associated with serum insulin levels in obese individuals. Int J Obes. 22:634–640.[CrossRef]
  25. Chagnon YC, Chung WK, Pérusse L, Chagnon M, Leibel RL, Bouchard C. 1999 Linkages and associations between the leptin receptor LEPR gene and human body composition in the Québec Family Study (QFS). Int J Obes. 23:278–286.
  26. Silver K, Walston J, Chung WK, et al. 1997 The Gln223Arg and Lys656Asn polymorphisms in the human leptin receptor do not associate with traits related to obesity. Diabetes. 46:1898–1900.[Medline]
  27. Bouchard C, Leon AS, Rao DC, Skinner JS, Wilmore JH, Gagnon J. 1995 The HERITAGE Family Study: aims, design, and measurement protocol. Med Sci Sports Exerc. 27:721–729.[Medline]
  28. Behnke AR, Wilmore JH. 1974 Evaluation and regulation of body build and composition. Englewood Cliffs: Prentice-Hall; 236.
  29. Deleted in proof.
  30. Lohman TG. 1986 Applicability of body composition techniques and constants for children and youths. Exerc Sport Sci Rev. 14:325–357.[Medline]
  31. Schutte JE, Townsend EJ, Hugg J, Shoup RF, Malina RM, Blomqvist CG. 1984 Density of lean body mass is greater in blacks than in whites. J Appl Physiol. 56:1647–1649.[Abstract/Free Full Text]
  32. Ortiz O, Russell M, Daley TL, et al. 1992 Differences in skeletal muscle and bone mineral mass between black and white females and their relevance to estimates of body composition. Am J Clin Nutr. 55:8–12.[Abstract/Free Full Text]
  33. Himes JH, Bouchard C. 1989 Validity of anthropometry in classifying youths as obese. Int J Obes. 13:183–193.[Medline]
  34. Wilmore JH. 1969 A simplified method for determination of residual lung volume. J Appl Physiol. 27:96–100.[Free Full Text]
  35. Wilmore JH, Vodak PA, Parr RB, Girandola RM, Billing JE. 1980 Further simplification of a method for determining residual lung volume. Med Sci Sports Exerc. 12:216–218.[Medline]
  36. 1997 S.A.G.E. Statistical Analysis for Genetic Epidemiology, release 3.0. Computer program package available from the Department of Epidemiology and Biostatistics, Rammelkamp Center for Education and Research, MetroHealth Campus, Case Western Reserve University, Cleveland.
  37. Deleted in proof.
  38. 1998 Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults, National Institute of Health: the evidence report. National Heart, Lung, and Blood Institute.
  39. Leiter EH, Chapman HD, Coleman DL. 1989 The influence of genetic background on the expression of mutations at the diabetes locus in mouse. V. Interaction between db gene and hepatic sex steroid sulfotransferases correlates with gender-dependent susceptibility to hyperglycemia. Endocrinology. 124:912–922.[Abstract/Free Full Text]
  40. Coleman DL. 1973 Effects of parabiosis of obese with diabetes and normal mice. Diabetologia. 9:294–298.[CrossRef][Medline]
  41. Coleman DL. 1978 Obese and diabetes: two mutant genes causing diabetes-obesity syndromes in mice. Diabetologia. 14:141–148.[CrossRef][Medline]
  42. Chua Jr SC, Koutras IK, Han L, et al. 1997 Fine structure of the murine leptin receptor gene: splice site suppression is required to form two alternatively spliced transcripts. Genomics. 45:264–270.[CrossRef][Medline]
  43. Chua SC, White DW, Wu-Peng XS, et al. 1996 Phenotype of fatty due to Gln269Pro mutation in the leptin receptor (Lepr). Diabetes. 45:1141–1143.[Abstract]
  44. Phillips MS, Liu Q, Hammond HA, et al. 1996 Leptin receptor missense mutation in the fatty Zucker rat. Nat Genet. 13:18–19.[CrossRef][Medline]
  45. White DW, Wang Y, Chua SC, et al. 1997 Constitutive and impaired signaling of leptin receptors containing the Gln to Pro extracellular domain fatty mutation. Proc Natl Acad Sci USA. 94:10657–10662.[Abstract/Free Full Text]



This article has been cited by other articles:


Home page
Am. J. Physiol. Regul. Integr. Comp. Physiol.Home page
J. R. Vasselli
Fructose-induced leptin resistance: discovery of an unsuspected form of the phenomenon and its significance. Focus on "Fructose-induced leptin resistance exacerbates weight gain in response to subsequent high-fat feeding," by Shapiro et al.
Am J Physiol Regulatory Integrative Comp Physiol, November 1, 2008; 295(5): R1365 - R1369.
[Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
L. Richert, T. Chevalley, D. Manen, J.-P. Bonjour, R. Rizzoli, and S. Ferrari
Bone Mass in Prepubertal Boys Is Associated with a Gln223Arg Amino Acid Substitution in the Leptin Receptor
J. Clin. Endocrinol. Metab., November 1, 2007; 92(11): 4380 - 4386.
[Abstract] [Full Text] [PDF]


Home page
Cancer Epidemiol. Biomarkers Prev.Home page
M. J. Roth, D. N. Paltoo, P. S. Albert, D. J. Baer, J. T. Judd, J. Tangrea, and P. R. Taylor
Common Leptin Receptor Polymorphisms do not Modify the Effect of Alcohol Ingestion on Serum Leptin Levels in a Controlled Feeding and Alcohol Ingestion Study
Cancer Epidemiol. Biomarkers Prev., June 1, 2005; 14(6): 1576 - 1578.
[Abstract] [Full Text] [PDF]


Home page
DiabetesHome page
T. A. Lakka, T. Rankinen, S. J. Weisnagel, Y. C. Chagnon, H.-M. Lakka, O. Ukkola, N. Boule, T. Rice, A. S. Leon, J. S. Skinner, et al.
Leptin and Leptin Receptor Gene Polymorphisms and Changes in Glucose Homeostasis in Response to Regular Exercise in Nondiabetic Individuals: The HERITAGE Family Study
Diabetes, June 1, 2004; 53(6): 1603 - 1608.
[Abstract] [Full Text] [PDF]


Home page
Physiol. GenomicsHome page
Y.-J. Liu, S. M.S. Rocha-Sanchez, P.-Y. Liu, J.-R. Long, Y. Lu, L. Elze, R. R. Recker, and H.-W. Deng
Tests of linkage and/or association of the LEPR gene polymorphisms with obesity phenotypes in Caucasian nuclear families
Physiol Genomics, April 13, 2004; 17(2): 101 - 106.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
Y.-J. Liu, F.-H. Xu, H. Shen, Y.-Z. Liu, H.-Y. Deng, L.-J. Zhao, Q.-Y. Huang, V. Dvornyk, T. Conway, K. M. Davies, et al.
A Follow-Up Linkage Study for Quantitative Trait Loci Contributing to Obesity-Related Phenotypes
J. Clin. Endocrinol. Metab., February 1, 2004; 89(2): 875 - 882.
[Abstract] [Full Text] [PDF]


Home page
Exp. Biol. Med.Home page
M. P. Cleary, S. C. Juneja, F. C. Phillips, X. Hu, J. P. Grande, and N. J. Maihle
Leptin Receptor-Deficient MMTV-TGF-{alpha}/LeprdbLeprdb Female Mice Do Not Develop Oncogene-Induced Mammary Tumors
Experimental Biology and Medicine, February 1, 2004; 229(2): 182 - 193.
[Abstract] [Full Text] [PDF]


Home page
GeneticsHome page
M. Heo, R. L. Leibel, B. B. Boyer, W. K. Chung, M. Koulu, M. K. Karvonen, U. Pesonen, A. Rissanen, M. Laakso, M. I. J. Uusitupa, et al.
Pooling Analysis of Genetic Data: The Association of Leptin Receptor (LEPR) Polymorphisms With Variables Related to Human Adiposity
Genetics, November 1, 2001; 159(3): 1163 - 1178.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Endocrinol. Metab.Home page
N. Yiannakouris, M. Yannakoulia, L. Melistas, J. L. Chan, D. Klimis-Zacas, and C. S. Mantzoros
The Q223R Polymorphism of the Leptin Receptor Gene Is Significantly Associated with Obesity and Predicts a Small Percentage of Body Weight and Body Composition Variability
J. Clin. Endocrinol. Metab., September 1, 2001; 86(9): 4434 - 4439.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Copyright Permission
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Chagnon, Y. C.
Right arrow Articles by Bouchard, C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Chagnon, Y. C.
Right arrow Articles by Bouchard, C.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Endocrinology Endocrine Reviews J. Clin. End. & Metab.
Molecular Endocrinology Recent Prog. Horm. Res. All Endocrine Journals