Research

rs476828 — MC4R MC4R-region BMI variant

Intergenic variant in the MC4R regulatory haplotype block, tagging the same appetite-suppression pathway as rs17782313 and associated with increased BMI, fat mass, and obesity risk

Strong Risk Factor Share

Details

Gene
MC4R
Chromosome
18
Risk allele
C
Clinical
Risk Factor
Evidence
Strong

Population Frequency

CC
6%
CT
36%
TT
58%

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The MC4R Haplotype — A Third Window into Appetite Regulation

The melanocortin-4 receptor (MC4R) gene sits at the center of your brain's appetite control system. Located in the hypothalamus11 hypothalamus
the brain region governing hunger, satiety, and energy balance
, MC4R receives signals from leptin and melanocortin hormones to generate "stop eating" commands. The stretch of chromosome 18 roughly 188 kilobases downstream of MC4R contains a regulatory haplotype block — a cluster of variants inherited together — that controls how much MC4R your neurons produce. rs476828 sits within this block.

This SNP tags the same obesity-associated haplotype as the better-known rs17782313, the second strongest common obesity genetic signal in humans22 second strongest common obesity genetic signal in humans
after FTO rs9939609
. In Europeans, rs476828 and rs17782313 are in perfect linkage disequilibrium33 perfect linkage disequilibrium
r²=1 in the CEU HapMap sample, meaning the two variants are essentially interchangeable as markers for the same underlying haplotype
. In African-ancestry populations the LD is weaker (r²=0.526), meaning rs476828 carries some independent information there. Together with rs12970134, these three variants form the risk haplotype C–C–A, which carries OR=1.796 for obesity.

The Mechanism

rs476828 is an intergenic variant in a regulatory element44 regulatory element
a stretch of DNA that controls gene transcription without encoding protein itself
that modulates MC4R expression in hypothalamic neurons. The full signaling chain works as follows: fat cells secrete leptin55 leptin
a hormone that reports energy stores to the brain
, which activates POMC neurons66 POMC neurons
proopiomelanocortin neurons in the arcuate nucleus that generate appetite-suppressing signals
, which release alpha-melanocyte stimulating hormone (α-MSH), which binds MC4R. When MC4R fires, it suppresses appetite and increases energy expenditure. When regulatory variants reduce MC4R expression, this entire cascade is weakened — fewer receptors means quieter "stop eating" signals and reduced metabolic drive.

The C allele of rs476828 tags a haplotype associated with reduced MC4R promoter activity. Epigenetic studies77 Epigenetic studies
MeQTL analyses examining DNA methylation quantitative trait loci
show that this regulatory block is associated with increased MC4R promoter methylation, further suppressing expression. The net result is a hypothalamic satiety circuit that requires stronger signals to fire — meaning larger portions before fullness registers, and a higher baseline appetite drive.

The Evidence

The original landmark GWAS88 landmark GWAS
Loos et al., Nature Genetics 2008, n=16,876 discovery + 60,352 replication
identified this MC4R-region signal as the second strongest common BMI locus in humans. Per C allele, adults showed a 0.05 Z-score BMI increase (p=2.8×10⁻¹⁵); children aged 7–11 showed a larger 0.13 Z-score effect (p=1.5×10⁻⁸), and severe childhood obesity odds reached OR=1.30 (p=8.0×10⁻¹¹). rs476828 was directly studied in a childhood obesity cohort99 childhood obesity cohort
Grant et al., 728 obese European American children and 3,960 controls
and yielded OR=1.145 (p=0.042), consistent with its role as a perfect proxy for rs17782313 in European-ancestry individuals.

A 2020 haplotype study1010 2020 haplotype study
Wei et al., Mol Med, 1,836 Chinese participants
examined rs476828 directly and found the C allele significantly elevated in obesity cases versus controls (17.1% vs 10.9%, p<0.001), with a dominant-model OR of 1.585 (95% CI=1.176–2.136). The full C–C–A haplotype across rs17782313, rs476828, and rs12970134 yielded OR=1.796 (95% CI=1.447–2.229), illustrating that these three markers collectively tag a single high-risk regulatory configuration.

A prospective cohort study in 5,724 women1111 prospective cohort study in 5,724 women
Qi et al., Hum Mol Genet 2008
found that this MC4R locus (tagged by rs17782313) was associated with higher total energy and dietary fat intake, greater 10-year BMI gain, and 14% increased type 2 diabetes risk per C allele after BMI adjustment — indicating effects on metabolic regulation beyond adiposity alone.

A sex-specific layer was uncovered by neuroimaging in 284 adults1212 neuroimaging in 284 adults
Horstmann et al., PLoS One 2013
: female homozygous CC carriers showed increased gray matter volume in the right amygdala, hippocampus, and orbitofrontal cortex — regions encoding emotional memory and food reward — as well as significantly elevated disinhibition and emotional eating scores. These effects were absent in men, suggesting the MC4R regulatory haplotype has sex-specific impacts on the neural circuits governing food motivation.

Practical Implications

Carrying the C allele at rs476828 means your hypothalamic MC4R system operates with reduced receptor density. Satiety signals that would normally be sufficient to stop eating are muted — your brain requires more food intake before the "full" signal reaches threshold. This creates a persistent biological headwind for weight management, but one that responds well to strategies that compensate for weakened internal signals with external structure.

The fat and energy intake data from the women's cohort are particularly actionable: the genetic effect operates partly through appetite drive for energy-dense foods. Interventions that reduce the palatability and caloric density of available food (meal preparation at home, portion pre-commitment, structured eating environments) directly address the mechanism.

The sex-specific neuroimaging data suggest that women with CC genotype may benefit especially from interventions targeting emotional and reward-driven eating, since this is where the documented brain structural differences concentrate.

Interactions

rs17782313 and rs12970134: rs476828 sits in the same regulatory block as these two MC4R-region variants. In Europeans, rs476828 and rs17782313 are in perfect LD (r²=1) — they are interchangeable markers for the same haplotype. The three-SNP haplotype C–C–A (rs17782313–rs476828–rs12970134) carries the highest obesity risk (OR=1.796), while individual SNP effects are smaller. Carrying risk alleles at all three does not simply stack independent risks; they largely reflect the same underlying regulatory signal.

FTO rs9939609: The combined effect1313 combined effect
documented across multiple populations
of MC4R and FTO risk alleles exceeds either alone — MC4R acts through appetite suppression while FTO acts through thermogenesis, so the two pathways are partially independent and their effects add. Combined risk genotypes in one pediatric study conferred 2.45-fold increased obesity odds. Addressing both pathways simultaneously — appetite structure for MC4R, thermogenic activity for FTO — provides complementary benefit.

Genotype Interpretations

What each possible genotype means for this variant:

TT “Typical MC4R Satiety Tone” Normal

Normal MC4R regulatory expression — typical appetite and satiety signaling

You carry two copies of the T reference allele at rs476828, associated with typical MC4R regulatory activity in the hypothalamic satiety circuit. About 58% of people of European descent share this genotype. Your melanocortin signaling runs at normal amplitude, meaning satiety signals after meals register at expected thresholds. You have no predisposition to the increased appetite drive, elevated dietary fat intake, or higher obesity risk associated with the C-allele haplotype at this locus.

CT “Moderately Reduced Satiety Tone” Intermediate Caution

One C allele moderately attenuates MC4R signaling, increasing appetite drive and BMI

The GWAS data indicate that the MC4R region C-allele haplotype has its largest per-allele effect in children (0.13 Z-score BMI) relative to adults (0.05 Z-score), suggesting the regulatory influence on appetite circuitry is strongest during developmental periods when hypothalamic set-points are being established. CT heterozygotes fall in the middle of this gradient.

The energy and fat intake associations (Qi et al. 2008) are dosage-dependent: each C allele increases caloric intake through both appetite drive and a preference shift toward energy-dense foods. For CT carriers, the practical implication is that habitual dietary patterns — rather than individual meals — are the key lever, since small but persistent increases in energy intake compound over years into meaningful weight change.

CC “Significantly Reduced Satiety Tone” High Risk Warning

Two C alleles substantially reduce MC4R signaling, markedly increasing appetite, fat intake, and obesity risk

The sex-specific neuroimaging data are especially relevant for female CC carriers: Horstmann et al. (2013) found that only women homozygous for the risk allele showed increased gray matter volume in the right amygdala, hippocampus, and orbitofrontal cortex — regions encoding food reward and emotional memory — along with significantly elevated disinhibition and emotional eating scores on the Three Factor Eating Questionnaire. Male CC carriers showed no comparable brain structural differences, suggesting that for women, the MC4R haplotype modulates the neural circuits linking emotion and food reward in a way that doesn't apply to men.

The type 2 diabetes data (14% risk increase per C allele, independent of BMI) suggest that CC homozygotes carry approximately 28% elevated diabetes risk beyond what adiposity explains — indicating direct hypothalamic effects on peripheral glucose regulation through the sympathetic nervous system projections from MC4R-expressing paraventricular nucleus neurons.

Because the C allele is substantially more frequent in South Asian (~39%) and African (~41%) populations than in Europeans (~24%), the CC genotype is more common in these groups. Effect sizes may differ by ancestry due to differing LD patterns and genetic backgrounds.