Research

rs10150332 — NRXN3

Obesity and waist circumference GWAS hit in NRXN3 — links reward-circuit synaptic function to appetite dysregulation and addictive eating patterns

Strong Risk Factor Share

Details

Gene
NRXN3
Chromosome
14
Risk allele
C
Consequence
Intronic
Inheritance
Additive
Clinical
Risk Factor
Evidence
Strong
Chip coverage
v3 v4 v5

Population Frequency

TT
62%
CT
34%
CC
5%

Ancestry Frequencies

african
40%
latino
23%
european
21%
south_asian
13%
east_asian
0%

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The Reward Circuit's Grip on Your Appetite

NRXN3 (Neurexin-3) is not a metabolic gene. It does not regulate insulin, store fat, or burn energy. It is a synaptic cell-adhesion molecule — one of a family of proteins that build and stabilize connections between neurons in the brain's reward and feeding circuits. Yet it was pulled out of genome-wide association studies as a genuine obesity risk locus, pointing to a fundamental truth: in many people, excess weight is a neurological problem before it is a metabolic one.

The Mechanism

Neurexins act as molecular bridges across synapses, binding neuroligins11 neuroligins
Postsynaptic proteins that pair with neurexins to specify synapse type — excitatory (glutamatergic) or inhibitory (GABAergic)
and dystroglycans22 dystroglycans
Extracellular matrix receptors at the synapse that stabilize the synaptic cleft
on the postsynaptic side. Neurexin-3 specifically controls AMPA receptor33 AMPA receptor
The ionotropic glutamate receptor responsible for fast excitatory neurotransmission; its strength determines how powerfully one neuron activates another
strength at glutamatergic synapses, meaning it regulates how intensely reward signals propagate through circuits.

NRXN3 is expressed heavily in glutamatergic projections from the prefrontal cortex44 prefrontal cortex
The brain region governing impulse control, decision-making, and behavioral inhibition
to the nucleus accumbens55 nucleus accumbens
The brain's primary reward hub — the target of dopamine released during pleasurable experiences including food, sex, and addictive substances
and in GABAergic neurons within the striatum. These are precisely the circuits that determine whether a reward signal (the smell of food, the taste of sugar) generates a "stop — satisfied" response or a "keep going — I need more" response. Variants that alter NRXN3 expression shift this balance, reducing the brake on appetitive drive.

A striking 2024 animal study found that selectively deleting NRXN3 in CaMKIIα-expressing neurons66 CaMKIIα-expressing neurons
Neurons expressing Calcium/calmodulin-dependent protein kinase II alpha, a marker of excitatory projection neurons in the PVN
of the paraventricular nucleus (PVN) of the hypothalamus77 paraventricular nucleus (PVN) of the hypothalamus
A hypothalamic region integrating autonomic and endocrine signals to regulate energy balance, stress, and circadian rhythms
caused substantially greater body fat accumulation88 substantially greater body fat accumulation
Mu et al. Neurexin-3 in the paraventricular nucleus of the hypothalamus regulates body weight and glucose homeostasis independently of food intake. Molecular Brain, 2024
and impaired glucose tolerance — remarkably, without changing food intake at all. This shows that NRXN3 in the hypothalamus governs energy partitioning (how calories are stored versus burned), not merely appetite. Reducing NRXN3 function biases metabolism toward fat storage and glucose intolerance through autonomic and neuroendocrine pathways independent of conscious hunger.

The Evidence

rs10150332 lies within an intron of NRXN3 on chromosome 14q31. It was first identified in a CHARGE consortium GWAS99 CHARGE consortium GWAS
Heard-Costa et al. NRXN3 is a novel locus for waist circumference. PLoS Genetics, 2009
of 31,373 individuals as a novel waist circumference locus. The G allele of the tag SNP rs10146997 (in complete linkage disequilibrium with rs10150332) was associated with 0.65 cm greater waist circumference per allele (combined p = 5.3×10⁻⁸, n = 70,014) and an obesity odds ratio of 1.13 (95% CI 1.07–1.19).

The Speliotes 2010 GIANT consortium meta-analysis1010 GIANT consortium meta-analysis
Speliotes et al. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nature Genetics, 2010
of 249,796 individuals confirmed rs10150332 directly in the BMI analysis, with the C allele associated with β = 0.13 kg/m² higher BMI (p = 3×10⁻¹¹). A 2024 electronic health record PheWAS in a diverse population found even stronger signals: the C allele associated with obesity (β = 0.052, p = 2×10⁻²²) and overweight (β = 0.049, p = 7×10⁻²¹).

The NRXN3 locus also shows strong association with obstructive sleep apnea1111 obstructive sleep apnea
A sleep disorder in which upper airway obstruction causes repeated breathing interruptions — strongly linked to central obesity
(OR 1.031, p = 1×10⁻⁸), consistent with the downstream effects of abdominal fat accumulation that the C allele promotes.

One of the most clinically important findings is the addiction-obesity overlap1212 addiction-obesity overlap
Hishimoto et al. Neurexin 3 polymorphisms are associated with alcohol dependence and altered expression of specific isoforms. Human Molecular Genetics, 2007
: NRXN3 variants in the same gene region were independently linked to alcohol dependence (splice-site SNP rs8019381, OR 2.46, p = 0.0007). The broader NRXN3 haplotypes that alter expression of specific transmembrane isoforms predispose to vulnerability to multiple addictive substances. This makes rs10150332 one of a handful of genetic loci where obesity risk and substance dependence risk converge through shared reward circuitry.

The population frequency of the C allele shows extreme stratification: ~21% in Europeans and ~40% in Africans, but essentially absent in East Asian populations (<1%). This near-fixation of the T allele in East Asians is one of the most dramatic frequency differences among all known obesity loci.

Practical Implications

The key insight from the NRXN3 biology is that the drive behind overeating in C allele carriers operates through reward and impulse- control circuits — the same circuitry that underlies compulsive behavior in addiction. Standard appetite management strategies that work for hypothalamic hunger signals (protein satiety, calorie restriction) may be less effective in isolation. Strategies that specifically target reward-driven eating — eliminating highly palatable trigger foods, restructuring the food environment, and building alternative reward pathways — are more aligned with the genetic mechanism.

The 2024 hypothalamic finding — that Nrxn3 loss causes fat accumulation independently of food intake — also points to energy expenditure as a key target. If the PVN's autonomic output is less effective at directing calories toward thermogenesis, building non-exercise thermogenesis and cold exposure habits may help counter this deficit.

Interactions

The most clinically relevant interaction is with DRD2 rs1800497 (Taq1A) in the brain-mental-health category. Both NRXN3 and DRD2 act in the mesolimbic reward circuit: NRXN3 governs synaptic connectivity of reward circuits while DRD2 governs dopamine receptor density within them. Carriers of risk alleles at both loci — weaker reward-circuit synaptic architecture (NRXN3 C) plus lower dopamine receptor density (DRD2 A allele) — may experience markedly heightened vulnerability to reward-driven overeating and food addiction-like behavior. This combination warrants targeted food environment restructuring.

NRXN3 acts independently of FTO (rs9939609) and MC4R (rs17782313), which operate through hypothalamic appetite and melanocortin pathways rather than reward circuitry. Carriers of risk alleles at all three loci face additive genetic load for obesity through distinct mechanisms — hypothalamic leptin insensitivity (FTO), melanocortin signaling deficit (MC4R), and reward-circuit dysfunction (NRXN3) — each warranting its own management approach.

Genotype Interpretations

What each possible genotype means for this variant:

TT “Typical Reward-Appetite Balance” Normal

No NRXN3 risk alleles — standard reward-circuit function

You carry two copies of the T allele at rs10150332, the most common genotype globally (about 62% of people). Your NRXN3 gene has no increased obesity risk from this variant. This genotype is nearly universal in East Asian populations (>99%) but present in roughly 62% of Europeans and 36% of Africans.

Your reward-circuit synaptic architecture at the NRXN3 locus is not predisposed toward compulsive appetitive behavior from this variant.

CT “Elevated Reward-Appetite Drive” Intermediate Caution

One C allele — mildly strengthened reward response to food

Neurexin-3 governs AMPA receptor strength at glutamatergic synapses in the prefrontal-striatal circuits that provide behavioral inhibition over food-seeking. With one C allele, the balance between reward signal amplification and cortical inhibition is shifted, making it harder to override food cravings through willpower alone.

Animal studies show that reduced PVN Nrxn3 function promotes fat accumulation through metabolic pathways independent of hunger, meaning some of the effect operates without conscious appetite at all.

CC “High Reward-Appetite Drive” High Risk Warning

Two C alleles — substantially stronger reward response to food

The CC genotype at rs10150332 represents the highest expression of the NRXN3 reward-circuit obesity mechanism. The C allele alters expression of specific NRXN3 splice isoforms in brain tissue, particularly those producing transmembrane forms in the mesolimbic and prefrontal-striatal circuits. This parallels the same haplotypes associated with alcohol dependence and substance vulnerability in independent studies, confirming shared reward-circuit architecture.

The 2024 finding that PVN-specific Nrxn3 deletion causes substantially increased visceral fat accumulation without hyperphagia — purely through impaired autonomic output and adipogenesis regulation — suggests CC carriers may have reduced thermogenic and lipolytic drive from the hypothalamus independent of appetite. This could manifest as a lower resting metabolic rate contribution and a metabolic bias toward fat storage even at normal caloric intake.

The GWAS association with obstructive sleep apnea is largely mediated through increased central adiposity, creating a reinforcing cycle: NRXN3-driven fat accumulation promotes sleep apnea, which in turn disrupts metabolic hormones (leptin, ghrelin, cortisol) and further impairs appetite regulation.

Key References

PMID: 19557197

Heard-Costa et al. 2009 — CHARGE consortium GWAS identifying NRXN3 as a novel locus for waist circumference; per G allele 0.65 cm increase (PLoS Genetics)

PMID: 20935630

Speliotes et al. 2010 — GIANT consortium meta-analysis (249,796 individuals) confirming rs10150332 C allele association with BMI, beta=0.13 kg/m², p=3×10⁻¹¹ (Nature Genetics)

PMID: 17804423

Hishimoto et al. 2007 — NRXN3 polymorphisms and splice isoforms associated with alcohol dependence, establishing the addiction-reward link (Human Molecular Genetics)

PMID: 22391885

Prats-Puig et al. 2013 — NRXN3, FTO, and TMEM18 variants amplify the effect of short sleep duration on child BMI (+1.0 SD) and waist circumference (+8.0 cm)

PMID: 21674055

Bille et al. 2011 — NRXN3 rs10146997 (in LD with rs10150332) associates with waist circumference in Danish women; no independent effect on fasting insulin (PLoS ONE)

PMID: 39090731

Mu et al. 2024 — Selective Nrxn3 ablation in PVN CaMKIIα neurons causes increased body weight through adipogenesis and impaired glucose tolerance, without affecting food intake (Molecular Brain)