Literature DB >> 23849767

Effects of FTO RS9939906 and MC4R RS17782313 on obesity, type 2 diabetes mellitus and blood pressure in patients with hypertension.

Aline Marcadenti, Flavio D Fuchs, Ursula Matte, Fernanda Sperb, Leila B Moreira, Sandra C Fuchs.   

Abstract

BACKGROUND: Genetic variants of the FTO gene rs9939609 A/T and the MC4R gene rs17782313 C/T have been associated with obesity. Individuals with mutations in MC4R gene have lower blood pressure (BP), independently of obesity. This study aimed to investigate the association of FTO rs9939609 and MC4R rs17782313 with anthropometric indexes, BP, and type 2 diabetes mellitus among hypertensive patients.
METHODS: We genotyped 217 individuals (86 men and 131 women) with hypertension (systolic or diastolic BP ≥ 140/90 mmHg or using antihypertensive drugs). Diabetes mellitus was diagnosed according to the American Diabetes Association criteria. Waist and neck circumferences (cm), Body Adiposity Index (BAI,%), Lipid Accumulation Product Index (LAP, cm.mmol.l) and body mass index (BMI, kg/m²) were analyzed using analysis of covariance or modified Poisson's regression.
RESULTS: Rare allele frequencies were 0.40 for A for FTO rs9939609 and 0.18 for C for MC4R rs17782313. A positive association of FTO rs9939609 and MC4R rs17782313 with BMI was observed in the overall sample. Among men and women, neck circumference was associated with the FTO genotype and, for women, MC4R genotype. In contrast, in men we found a negative association of MC4R rs17782313 with diastolic BP (TT 90.1 ±12.2, TC/CC 83.2 ±12.1; P = 0.03) and borderline association for systolic BP after controlling for age and BMI.
CONCLUSIONS: Common genetic variants of FTO rs9939609 have positive associations with BMI and neck circumference and MC4R rs17782313 in women, but a negative association with diastolic and mean blood pressure in men with hypertension.

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Year:  2013        PMID: 23849767      PMCID: PMC3711897          DOI: 10.1186/1475-2840-12-103

Source DB:  PubMed          Journal:  Cardiovasc Diabetol        ISSN: 1475-2840            Impact factor:   9.951


Introduction

Obesity is a well-known risk factor for hypertension and type-2 diabetes mellitus [1]. Genetic factors play an important role in the development of obesity [2], but the underlying genetic pathways are poorly understood. FTO (fat mass and obesity-associated) gene was first identified in mouse [3] and it has been associated with energy balance [4,5]. MC4R (melanocortin 4 receptor) gene was the first loci in which mutations were associated with morbid obesity in human beings [6,7]. The most common genetic variant of the FTO gene (rs9939609 A/T) [8] and a variant near the MC4R gene (rs17782313 C/T) [9] were detected recently and both single nucleotide polymorphisms (SNPs) have been associated mainly with overall [8,9] and, in some cases, abdominal obesity [10-12]. Cardiovascular risk factors as type-2 diabetes mellitus [13,14], insulin resistance [15], and hypertension [16] were associated with the risk allele A for FTO rs9939609 and the risk allele C for MC4R rs17782313, regardless body mass index [13,14]. FTO gene is strongly expressed in hypothalamus [17,18], a brain structure involved in the control of energy homeostasis [5] and regulation of blood pressure [19]. The association between the risk allele A for FTO rs9939609 polymorphism and elevated blood pressure was demonstrated in Caucasian populations [16]. MC4R gene is also expressed in the hypothalamus [18,20], but when inactivated is associated with lower blood pressure, independently of obesity [21]. However, this association has been shown only in individuals with mutations [21]. In the overall population, individuals carrying the risk allele C for near MC4R rs17782313 did not have different blood pressure levels comparing to non-carriers [22]. For type-2 diabetes mellitus risk, studies that evaluated both polymorphisms in the overall population are inconclusive [8,23,24]. Among individuals with hypertension, who are often obese and have type-2 diabetes [25], the contribution of both polymorphisms on obesity, blood pressure control and type-2 diabetes mellitus had not been investigated. The aim of this study was to investigate the association between FTO rs9939609, MC4R rs17782313 with anthropometric indicators, blood pressure, and type-2 diabetes in patients with hypertension.

Methods

This is a cross-sectional study, which enrolled men and women, aged 18 to 80 years, who had been diagnosed with hypertension, living in the urban area of Porto Alegre, southern Brazil. In total, a sub-sample of 217 patients was genotyped (38.8%) and examined in an outpatient clinic of a reference hospital. The study was approved by the Ethical Committee of our institution, and all patients accepted to participate and signed a consent form.

Genotyping

DNA was extracted from peripheral blood using NucleoSpin® Blood (Macherey-Nagel GmbH & Co. KG, Germany). StepOneTM Real-Time PCR Systems (Applied Biosystems Inc., Foster City, CA) was used to genotype the FTO locus rs9939609 and the MC4R locus rs17782313 using TaqMan-based assays (Applied Biosystems Inc., Foster City, CA).

Outcome variables

Trained research assistants carried out six standardized blood pressure measurements [26], obtained in three visits, using an aneroid sphygmomanometer with an adequate sized cuff to the arm circumference and the average was used to calculate mean blood pressure [(Systolic BP + 2*Diastolic BP)/3]. Hypertension was diagnosed by systolic blood pressure ≥140 or diastolic blood pressure ≥90 mmHg, or use of antihypertensive lowering agents [27]. Type-2 diabetes mellitus was diagnosed by fasting blood glucose ≥ 126 mg /dl, glycated hemoglobin ≥ 6.5%, or use of anti-diabetic agents [28].

Other covariates

Demographic data and information regarding education (years at school), smoking (ex-smoker or current smoker), abusive alcohol consumption (≥30 g ethanol/day in men and ≥15 g/day in women), and physical activity (short version of the International Physical Activity Questionnaire, IPAQ [29], categorized as low/moderate or high intensity) were collected using standardized questionnaires by trained interviewers. Weight (kg) was measured with patients in light clothes, barefoot, in a 100 g scale (Filizola®, model 31, IN Filizola – SA, Sao Paulo, Brazil) and height was obtained with patient in Frankfurt plane, using a Tonelli® stadiometer with 0.1 cm scale, model E120 A (IN Tonelli – SA, Santa Catarina, Brazil). Body mass index (BMI) was calculated by the weight (kg)/height (m)2. Waist circumference was obtained with a plastic, flexible, inelastic measuring tape positioned in the middle point, between the last costal rib and the iliac crest, in a perpendicular plane, with patient standing in both feet, approximately 20 cm apart, and with both arms hanging freely at the side, with palms facing thighs. Neck circumference was measured with the head straight and eyes staring forward, horizontally, one inch below the laryngeal prominence, and hip circumference at the level of the higher diameter over the buttocks. The anthropometry was carried out in duplicate, with a one week break, by interviewers trained independently and periodically reassessed. Body Adiposity Index (BAI) was calculated using the formula: hip (cm)/[height (m)1.5]-18 [30]. Serum triglycerides were measured by calorimetric enzymatic method using standardized techniques. Lipid Accumulation Product Index (LAP) was calculated from waist circumference, in centimeters, plus serum triglycerides, in mmol, for men [(WC-65)*TG] and women [(WC-58)*TG] [31].

Analyses

Statistical analyses were performed using SPSS (Statistical Package for the Social Science, SPSS®, version 17.0, IL, USA). Means ± SD and percentages were compared using analysis of variance or Pearson’s chi-square test. We tested the potential relationship of genotype and blood pressure, using analysis of covariance models, with the adjustment for age and BMI. Modified Poisson’s regression (expressed as risk ratio and 95% CI) was used to analyze the association between genotype and type-2 diabetes, after adjustment for age and BMI. A P value between 0.05 and 0.1 was considered as a trend toward association and less than 0.05 as statistically significant.

Results

Characteristics of individuals included in the study for each polymorphism are shown in Table 1. Rare allele frequencies were 0.40 for A for FTO rs9939609 and 0.18 for C for MC4R rs17782313. Genotype frequencies did not differ from those predicted by the Hardy-Weinberg equilibrium (P = 0.8 for FTO and P = 0.8 for MC4R).
Table 1

Characteristic of participants according to polymorphism [mean ± SD, n (%)]

 rs9939609
rs17782313
TT
TA/AA
P valueTT
TC/CC
P value
(n = 75)(n = 142)(n = 146)(n = 71)
Age (years)
59.6 ±11.4
60.2 ±11.1
0.7
60.3 ±11.3
59.2 ±10.8
0.5
Sex
 
 
0.9
 
 
0.02
 Men
30 (34.9)
56 (65.1)
 
66 (76.7)
20 (23.3)
 
 Women
45 (34.4)
86 (65.4)
 
80 (61.1)
51 (38.9)
 
Vigorous physical activity
 
 
0.7
 
 
0.2
 Yes
11 (31.4)
24 (68.6)
 
27 (77.1)
8 (22.9)
 
 No
64 (35.4)
117 (64.6)
 
118 (65.2)
63 (34.8)
 
Body mass index (kg/m2)
28.9 ±4.6
30.7 ±5.2
0.02
29.6 ±4.8
31.1 ±5.4
0.04
Waist circumference (cm)
99.5 ±11.5
102.1 ±11.6
0.1
100.3 ±11.2
103.1 ±12.1
0.1
Neck circumference (cm)
37.7 ±3.4
38.9 ±3.8
0.03
38.5 ±3.8
38.5 ±3.3
0.9
Body Adiposity Index (%)
33.6 ±5.8
34.9 ±6.9
0.2
33.9 ±6.5
35.7 ±6.6
0.07
LAP* (cm.mmol.l)
4.1 ±0.8
4.2 ±0.6
0.4
4.1 ±0.6
4.2 ±0.7
0.2
Type-2 Diabetes
 
 
0.7
 
 
0.07
 Yes
32 (33.0)
65 (67.0)
 
59 (60.8)
38 (39.2)
 
 No
43 (35.8)
77 (64.2)
 
87 (72.5)
33 (27.5)
 
SBP§ (mmHg)
155.2 ±22.7
150.8 ±19.7
0.1
154.3 ±21.8
147.9 ±18.1
0.04
DBP (mmHg)
88.9 ±13.2
87.1 ±13.1
0.3
88.5 ±13.4
86.1 ±12.4
0.2
Mean blood pressure (mmHg)111.0 ±14.1108.3 ±13.10.2110.5 ±13.9106.7 ±12.30.06

*LAP Lipid Accumulation Product, log-transformed; § systolic blood pressure; ¶ diastolic blood pressure.

Characteristic of participants according to polymorphism [mean ± SD, n (%)] *LAP Lipid Accumulation Product, log-transformed; § systolic blood pressure; ¶ diastolic blood pressure. In total, 86 men and 131 women were assessed, aged 59.8 ± 11.2 years, systolic blood pressure of 152.1 ± 20.6 mmHg, and diastolic blood pressure of 87.7 ± 13.0 mmHg. The prevalence of type-2 diabetes mellitus was 44.7%; 4.2% of the sample reported abusive alcohol consumption and 43.8% were current or ex smokers.

Obesity

FTO rs9939609 individuals with AT and AA genotypes had higher BMI than those with TT, as well as those who had MC4R rs17782313 with CT and CC genotypes. In addition, neck circumference was higher among AT/AA carriers than TT carriers according to FTO risk allele. For other anthropometric indices, the P values remained as a trend toward association, as seen for waist circumference (FTO and MC4R) and Body Adiposity Index (BAI). Analyses conducted according to gender (Table 2) showed that men and women who were carriers of AT/AA genotype had higher neck circumference than those homozygotes TT for FTO rs9939609, while a trend toward association was verified for body mass index. Women carrying risk alleles AA/AT also had higher Body Adiposity Index versus TT for FTO genotype.
Table 2

Characteristic of men and women according to polymorphism risk allele A for rs9939609 [mean ± SD, n (%)]

 Men
Women
TT
TA/AA
P valueTT
TA/AA
P value
(n = 30)(n = 56)(n = 45)(n = 86)
Age (years)
63.9 ±8.8
58.9 ±11.1
0.03
56.7 ±12.2
60.9 ±11.1
0.04
Body mass index (kg/m2)
28.3 ±4.4
29.7 ±4.1
0.1
29.5 ±4.7
31.3 ±5.8
0.07
Waist circumference (cm)
101.3 ±12.4
104.1 ±10.7
0.3
98.2 ±10.8
100.9 ±11.9
0.2
Neck circumference (cm)
40.5 ±3.0
41.7 ±2.6
0.04
35.9 ±2.8
36.9 ±3.1
0.04
Body Adiposity Index (%)
29.4 ±3.2
29.4 ±3.5
0.9
36.4 ±5.3
38.6 ±6.1
0.04
LAP* (cm.mmol.l)
4.1 ±0.8
4.3 ±0.6
0.2
4.1 ±0.7
4.1 ±0.6
0.9
SBP§ (mmHg)
155.2 ±22.5
150.1 ±19.9
0.3
155.1 ±23.1
151.2 ±19.6
0.3
DBP (mmHg)
88.5 ±14.7
88.5 ±11.6
0.9
89.4 ±12.2
86.3 ±13.9
0.2
Type-2 Diabetes
 
 
0.9
 
 
0.5
 Yes
14 (35.9)
25 (64.1)
 
18 (31.0)
40 (69.0)
 
 No16 (34.0)31 (66.0) 27 (37.0)46 (63.0) 

*LAP Lipid Accumulation Product, log-transformed; § systolic blood pressure; ¶ diastolic blood pressure.

Characteristic of men and women according to polymorphism risk allele A for rs9939609 [mean ± SD, n (%)] *LAP Lipid Accumulation Product, log-transformed; § systolic blood pressure; ¶ diastolic blood pressure. According to MC4R rs17782313 genotype, there were no significant differences among anthropometric indexes for men with CT/CC genotype, in comparison to homozygotes TT (Table 3). Waist circumference and Lipid Accumulation Product Index had a trend to be higher in women with CT and CC genotypes and neck circumference was significantly higher among women carrying risk allele C.
Table 3

Characteristic of men and women according to polymorphism risk allele C for rs17782313 [mean ± SD, n (%)]

 
Men
Women
 
TT
TC/CC
P valueTT
TC/CC
P value
 (n = 66)(n = 20)(n = 80)(n = 51)
Age (years)
61.1 ±10.3
59.2 ±11.3
0.5
59.7 ±12.1
59.2 ±10.8
0.8
Body mass index (kg/m2)
28.9 ±4.4
30.1 ±4.1
0.3
30.1 ±5.4
31.5 ±5.7
0.2
Waist circumference (cm)
102.5 ±11.1
105.1 ±11.9
0.4
98.5 ±11.1
102.3 ±12.2
0.07
Neck circumference (cm)
41.3 ±2.9
41.2 ±2.7
0.9
36.1 ±2.8
37.4 ±2.9
0.01
Body Adiposity Index (%)
29.4 ±3.4
29.4 ±3.5
0.9
37.6 ±6.0
38.1 ±5.9
0.7
LAP* (cm.mmol.l)
4.2 ±0.7
4.3 ±0.8
0.9
4.0 ±0.6
4.2 ±0.7
0.07
SBP§ (mmHg)
154.3 ±21.2
143.8 ±18.1
0.04
154.3 ±22.4
149.7 ±17.9
0.2
DBP (mmHg)
89.8 ±12.8
84.1 ±11.7
0.08
87.5 ±13.9
86.9 ±12.8
0.8
Type-2 Diabetes
 
 
0.9
 
 
0.02
 Yes
30 (76.9)
9 (23.1)
 
29 (50.0)
29 (50.0)
 
 No36 (76.6)11 (23.4) 51 (69.9)22 (30.1) 

* LAP Lipid Accumulation Product, log-transformed; § systolic blood pressure; ¶ diastolic blood pressure.

Characteristic of men and women according to polymorphism risk allele C for rs17782313 [mean ± SD, n (%)] * LAP Lipid Accumulation Product, log-transformed; § systolic blood pressure; ¶ diastolic blood pressure.

Type-2 diabetes mellitus

There was no difference in prevalence of type-2 diabetes according to FTO rs9939609 genotype. The trend toward association detected for MC4R rs17782313 (Table 1), further analyzed by gender showed that women who had MC4R rs17782313 CT/CC genotype had higher prevalence of diabetes than those with TT allele (Table 3). The multivariate analysis taking into account age and BMI showed that the allele C for MC4R was associated with higher risk of type 2 diabetes mellitus in women (RR = 1.5 95%CI: 1.1 – 2.2, P = 0.03), but not among men (RR = 0.9 95%CI: 0.6 – 1.7, P = 0.9). FTO was not associated to diabetes among men (RR = 1.1 95%CI: 0.7 – 1.7, P = 0.9) and women (RR = 1.0 95%CI: 0.7 – 1.6, P = 0.9).

Blood Pressure

Carriers of risk alleles (A for FTO rs9939609 and C for MC4R rs17782313) had average diastolic blood pressure similar to non-carriers, but systolic blood pressure was significantly lower among MC4R rs17782313 individuals with CT/CC genotype and for FTO variant there was a trend toward association. Table 4 shows systolic, diastolic, and mean blood pressure adjusted for age and BMI, among men and women according to the genotype. FTO was not associated with blood pressure for both genders, but among men with risk allele C for MC4R rs17782313, diastolic blood pressure was significantly lower (P = 0.03), and there was a trend for systolic blood pressure (P = 0.05). Therefore, mean blood pressure was markedly lower among those with allele C for MC4R, independently of age and BMI.
Table 4

Systolic and diastolic blood pressure adjusted-means* among men and women according to genotype [mean ± SD, (95% CI)]

 MenWomen
rs9939609
TT
TA/AA
P value
TT
TA/AA
P value
(n = 30)
(n = 56)
(n = 45)
(n = 86)
Systolic BP (mmHg)
153.7 ±20.7
150.8 ±20.9
0.6
155.9 ±21.5
150.8 ±20.4
0.2
(146.1 – 161.3)
(145.3 – 156.4)
(149.6 – 162.2)
(146.4 – 155.3)
Diastolic BP (mmHg)
89.9 ±12.5
87.7 ±12.7
0.5
87.5 ±12.7
87.2 ±12.1
0.9
(85.4 – 94.4)
(84.5 – 91.0)
(83.7 – 91.2)
(84.6 – 89.9)
Mean BP (mmHg)
111.1 ±13.7
108.8 ±13.5
0.5
110.6 ±13.7
108,2 ±13.7
0.5
(106.2-116.0)
(105.2-112.3)
(106.5-114.7)
(105,3-111,2)
rs17782313
TT
TC/CC
P value
TT
TC/CC
P value
(n = 66)
(n = 20)
(n = 80)
(n = 51)
Systolic BP (mmHg)
154.2 ±20.3
144.2 ±20.1
0.05
154.1 ±20.6
150.2 ±20.7
0.3
(149.2 – 159.1)
(135.3 – 153.2)
(149.5 – 158.6)
(144.3 – 155.9)
Diastolic BP (mm Hg)
90.1 ±12.2
83.2 ±12.1
0.03
87.5 ±12.5
86.9 ±12.9
0.8
(87.2 – 92.9)
(77.9 – 88.5)
(84.8 – 90.2)
(83.5 – 90.5)
Mean BP (mmHg)111.3 ±13.5 (108.1-114.6)103.9 ±13.4 (98.0-109.8)0.02109.8 ±13.4 (106.8-112.7)107.9 ±13.5 (104.1-111.7)0.5

* Means adjusted for age and BMI.

Systolic and diastolic blood pressure adjusted-means* among men and women according to genotype [mean ± SD, (95% CI)] * Means adjusted for age and BMI.

Discussion

As far as we know, this is the first study showing the association of a common genetic variant near MC4R gene with blood pressure in patients with hypertension. The negative association of MC4R common variant with blood pressure in men is a novelty, as it had been described only in morbidly obese individuals with rare mutations in the MC4R gene and in animal models. The association was further evaluated in analyses by gender, showing that men carrying the C allele for MC4R had lower diastolic and mean blood pressure compared with TT homozygotes. Genome-wide association studies have been identified a number of genetic variants associated with obesity and their role in obesity-related vascular diseases [32]. Frayling et al. [8] showed for the first time the contribution of the SNP rs9939609 in FTO on excess of weight, and this result has been replicated in several populations [4,5,10,11]. As expected, common variant of FTO was associated with BMI in our overall population, but the analysis by gender confirmed only a trend toward association. Body Adiposity Index, a simple index which detects the percentage of total fat was significantly higher among women carrying FTO risk allele, and the effect of the gene on women body weight could be essentially over body fat. Among men, the association between FTO and BMI has not been confirmed [33] or it was weakened [34]. Another simple measure correlated with total and abdominal obesity is neck circumference [35], which was higher in men and women with risk allele A. This association has also been confirmed in European adolescents [36]. For the overall population, common variant near MC4R rs17782313 was associated with BMI and there was a trend to have subjects with higher BAI among CT/CC carriers. Analyses conducted by gender showed that in addition to the association of neck circumference with MC4R genotype, the trend toward higher waist circumference and Lipid Accumulation Product suggest an effect of the risk allele C on visceral obesity in women with hypertension. Mutation carriers on MC4R had increased lean mass [7] and the variant near MC4R could reflect this effect among in men, who had proportionally more free-fat mass comparing to women. Furthermore, men and women had differences regarding metabolism of free fatty acids, which increased accumulation on visceral adipose tissue in women when compared with men [37]. Among Chinese, no association was found between MC4R rs17782313 and abdominal obesity detected by waist circumference [38] and, in a European cohort, MC4R rs17782313 plus FTO rs1421085 were associated with abdominal obesity and metabolic syndrome. However, when analyzed separated, neither MC4R nor FTO were associated with any individual metabolic syndrome feature, including waist circumference [39]. In this study, type-2 diabetes mellitus was associated with women carriers of risk allele C for MC4R rs17782313, which remained significant after control for age and BMI. Studies that assessed the contribution of polymorphisms in FTO and MC4R genes on type-2 diabetes mellitus are controversial, probably due to ethnic differences regarding body composition and lifestyle among populations (significant differences about the frequencies of several common obesity susceptibility variants in or near FTO and MC4R were found in class III obese Hispanic patients, i.e.) [40]. Among hypertensive women, the effect of risk allele C for MC4R rs17782313 on type-2 diabetes mellitus could be mediated by increased visceral adipose tissue. MC4R showed higher expression in mesenteric fat among obese and diabetic rats when compared with lean rats [18]. Besides, studies support that the association of FTO rs9939609 and the MC4R rs17782313 polymorphisms with type-2 diabetes and obesity could be modulated and depended on diet [23]. It is also suggested that both type-2 diabetes and obesity had a common genetic etiology from the same 16.3 encoding region were FTO is located, and probably this is not the only susceptibility gene on this region which share the risk for both obesity and type-2 diabetes [41]. Genetic predisposition to obesity and FTO common variants contributed to increased insulin resistance among Europeans, but weakly increased type-2 diabetes risk, which is mediated by BMI itself [42]. As seen in morbid obese - with no hypertension and with rare mutations in MC4R gene, this sample of hypertensive individuals carrier of risk allele C for common variant near MC4R had lower levels of blood pressure in comparison to homozygote non-carriers. After adjustment for age and BMI, the association remained significant in men. It has been widely demonstrated in animal models the contribution of melanocortin system on cardiovascular function [43], and, in human beings, it has been shown how centrally expressed melanocortin 4 receptor (MC4R) not only conveys hypothalamic signals suppressing food intake, but it is also involved in blood pressure control [21]. Common variants near MC4R could reflect the same effect, but is unknown if anti-hypertensive drugs or changes in lifestyle could modify the expression of these genes or the effects of both polymorphisms on blood pressure, as it has been shown [44]. Among different model species, it has been demonstrated signaling cascades and transcription factors for several obesity genes that could be useful for development of new drugs and for translational research [45]. This study has some limitations and strengths that should be taken into account when interpreting the results. The analysis of genotype by gender is exploratory and it is underpowered to detect small differences. Therefore, some associations that achieved statistical significance in the overall analysis remained only as a trend toward association (BMI and FTO genotype, for instance). In the other side, some associations remained significant, as neck circumference and FTO genotype, while others came up only for women (FTO and BAI). The associations of gene variants with anthropometric indexes should be confirmed in further studies, with statistical power to carry out analysis by gender. In conclusion, this study shows a negative effect of MC4R rs17782313 on mean arterial pressure and diastolic blood pressure among men. Associations of some anthropometric indexes with polymorphisms are exploratory for both, men and women. The pathways for these associations are not completely understood, but genetic variants near the MC4R gene may reflect the complexity of such mechanisms.

Abbreviations

BAI: Body Adiposity Index; BMI: Body mass index; BP: Blood pressure; CI: Confidence interval; DNA: Deoxyribonucleic acid; FTO: Fat mass and obesity-associated; IPAQ: International Physical Activity Questionnaire; LAP: Lipid Accumulation Product Index; MC4R: Melanocortin 4 receptor; RR: Risk ratio; SNP: Single nucleotide polymorphism; TG: Triglycerides; WC: Waist circumference.

Competing interest

No potential competing interest relevant to this article were reported.

Authors’ contributions

AM, LBM, FDF, SCF have made substantial contributions to conception and design; AM, USM, FS, SCF analyzed and interpreted the data; AM, LBM, FS have been involved in drafting the manuscript, and USM, FDF, SCF in the reviewing it critically for important intellectual content. The authors had full access to all of the data in the study and AM and SCF take responsibility for the contents of the article. All authors have given final approval of the version to be published.
  44 in total

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Review 7.  Identification of shared genetic susceptibility locus for coronary artery disease, type 2 diabetes and obesity: a meta-analysis of genome-wide studies.

Authors:  Chaoneng Wu; Yunguo Gong; Jie Yuan; Hui Gong; Yunzeng Zou; Junbo Ge
Journal:  Cardiovasc Diabetol       Date:  2012-06-14       Impact factor: 9.951

8.  An Obesity Risk SNP (rs17782313) near the MC4R Gene Is Associated with Cerebrocortical Insulin Resistance in Humans.

Authors:  Otto Tschritter; Axel Haupt; Hubert Preissl; Caroline Ketterer; Anita M Hennige; Tina Sartorius; Fausto Machicao; Andreas Fritsche; Hans-Ulrich Häring
Journal:  J Obes       Date:  2011-06-03

9.  Associations of the FTO rs9939609 and the MC4R rs17782313 polymorphisms with type 2 diabetes are modulated by diet, being higher when adherence to the Mediterranean diet pattern is low.

Authors:  Carolina Ortega-Azorín; Jose V Sorlí; Eva M Asensio; Oscar Coltell; Miguel Ángel Martínez-González; Jordi Salas-Salvadó; Maria-Isabel Covas; Fernando Arós; José Lapetra; Lluís Serra-Majem; Enrique Gómez-Gracia; Miquel Fiol; Guillermo Sáez-Tormo; Xavier Pintó; Miguel Angel Muñoz; Emilio Ros; Jose M Ordovás; Ramon Estruch; Dolores Corella
Journal:  Cardiovasc Diabetol       Date:  2012-11-06       Impact factor: 9.951

10.  Single nucleotide polymorphisms (SNPs) involved in insulin resistance, weight regulation, lipid metabolism and inflammation in relation to metabolic syndrome: an epidemiological study.

Authors:  Cécile M Povel; Jolanda M A Boer; N Charlotte Onland-Moret; Martijn E T Dollé; Edith J M Feskens; Yvonne T van der Schouw
Journal:  Cardiovasc Diabetol       Date:  2012-10-29       Impact factor: 9.951

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  20 in total

1.  Association of FTO rs9939609 SNP with Obesity and Obesity- Associated Phenotypes in a North Indian Population.

Authors:  Jai Prakash; Balraj Mittal; Apurva Srivastava; Shally Awasthi; Neena Srivastava
Journal:  Oman Med J       Date:  2016-03

2.  Association of melanocortin 4 receptor gene variation with satiation and gastric emptying in overweight and obese adults.

Authors:  Andres Acosta; Michael Camilleri; Andrea Shin; Paula Carlson; Duane Burton; Jessica O'Neill; Deborah Eckert; Alan R Zinsmeister
Journal:  Genes Nutr       Date:  2014-01-24       Impact factor: 5.523

3.  Melanocortinergic circuits from medial vestibular nuclei to the kidney defined by transneuronal transport of pseudorabies virus.

Authors:  Dan Shang; Jun Xiong; Hong-Bing Xiang; Yan Hao; Jiu-Hong Liu
Journal:  Int J Clin Exp Pathol       Date:  2015-02-01

4.  Strain survey and genetic analysis of vasoreactivity in mouse aorta.

Authors:  Seung Kyum Kim; Joshua J Avila; Michael P Massett
Journal:  Physiol Genomics       Date:  2016-10-07       Impact factor: 3.107

Review 5.  Regulation and roles of RNA modifications in aging-related diseases.

Authors:  Zeyidan Jiapaer; Dingwen Su; Lingyang Hua; Helge Immo Lehmann; Priyanka Gokulnath; Gururaja Vulugundam; Shannan Song; Lingying Zhang; Ye Gong; Guoping Li
Journal:  Aging Cell       Date:  2022-06-19       Impact factor: 11.005

6.  Polymorphisms of the peroxisome proliferator-activated receptor-γ (rs1801282) and its coactivator-1 (rs8192673) are associated with obesity indexes in subjects with type 2 diabetes mellitus.

Authors:  Peter Kruzliak; Andreana P Haley; Jovana Nikolajevic Starcevic; Ludovit Gaspar; Daniel Petrovic
Journal:  Cardiovasc Diabetol       Date:  2015-04-28       Impact factor: 9.951

7.  Relationships between FTO rs9939609, MC4R rs17782313, and PPARγ rs1801282 polymorphisms and the occurrence of selected metabolic and hormonal disorders in middle-aged and elderly men - a preliminary study.

Authors:  Iwona Rotter; Karolina Skonieczna-Żydecka; Danuta Kosik-Bogacka; Grażyna Adler; Aleksandra Rył; Maria Laszczyńska
Journal:  Clin Interv Aging       Date:  2016-11-23       Impact factor: 4.458

8.  Polymorphisms of leptin-melanocortin system genes associated with obesity in an adult population from Barranquilla

Authors:  Pilar Garavito; María Isabel Mosquera-Heredia; Luis Fang; Fausto Payares; Martha Ruiz; Isis Arias; Rafael Tuesca; Édgar Navarro; Carlos Silvera-Redondo
Journal:  Biomedica       Date:  2020-06-15       Impact factor: 0.935

9.  Combined effects of FTO rs9939609 and MC4R rs17782313 on elevated nocturnal blood pressure in the Chinese Han population.

Authors:  Yanlei Sun; Jiazhong Sun; Jun Wu; Mei Yang
Journal:  Cardiovasc J Afr       Date:  2015-08-31       Impact factor: 1.167

10.  Role of FTO and MC4R Polymorphisms in Escalating Obesity and Their Indirect Association With Risk of T2D in Indian Population.

Authors:  Shahbaz Khan; Amit Kumar Verma; Vasiuddin Khan; Deepti Bhatt; Sahar Rafat; Mohammed A Alsahli; Arshad Husain Rahmani; Babita Meena; Irshad Husain Naqvi; Kapil Dev
Journal:  Diabetes Ther       Date:  2020-08-01       Impact factor: 2.945

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