rs3810291

This variant is located in the ZC3H4 gene.

▶

GWAS Catalog Trait Associations (33)

Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.

body mass index

Jee YH et al. “Genome-wide association studies in a large Korean cohort identify quantitative trait loci for 36 traits and illuminate their genetic architectures.” Nature Communications 16(1):4935 (2025)
Allele A
OR 0.04
p 2.0e-75
N 928,679
Large GWAS
multi-ancestry
Huang J et al. “Genomics and phenomics of body mass index reveals a complex disease network.” Nature Communications 13(1):7973 (2022)
Allele A
OR 0.03
p 1.0e-68
N 1,122,049
Large GWAS
European
Koskeridis F et al. “Pleiotropic genetic architecture and novel loci for C-reactive protein levels.” Nature Communications 13(1):6939 (2022)
Allele A
OR 0.03
p 3.0e-51
N 694,649
Large GWAS
European
Sidorenko J et al. “Genetic architecture reconciles linkage and association studies of complex traits.” Nature Genetics 56(11):2352-2360 (2024)
Allele A
OR 0.03
p 6.0e-49
N 650,000
Large GWAS
European
Hawkes G et al. “Genetic evidence that high BMI in childhood has a protective effect on intermediate diabetes traits, including measures of insulin sensitivity and secretion, after accounting for BMI in adulthood.” Diabetologia 66(8):1472-1480 (2023)
Allele A
OR 0.03
p 8.0e-41
N 441,761
Large GWAS
European
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele A
OR 0.02
p 1.0e-35
N 394,642
Large GWAS
European
Harris BHL et al. “New role of fat-free mass in cancer risk linked with genetic predisposition.” Scientific Reports 14(1):7270 (2024)
Allele A
OR 0.03
p 4.0e-28
N 342,566
Large GWAS
European
Hoffmann TJ et al. “A Large Multiethnic Genome-Wide Association Study of Adult Body Mass Index Identifies Novel Loci.” Genetics 210(2):499-515 (2018)
Allele A
OR —
β 0.026
p 8.0e-19
N 334,487
Large GWAS
multi-ancestry
Winkler TW et al. “The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.” Plos Genetics 11(10):e1005378 (2015)
Allele A
OR —
β 0.028
p 1.0e-19
N 309,889
Large GWAS
European
Locke AE et al. “Genetic studies of body mass index yield new insights for obesity biology.” Nature 518(7538):197-206 (2015)
Allele A
OR 0.03
p 3.0e-10
N 238,944
Large GWAS
multi-ancestry
Justice AE et al. “Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits.” Nature Communications 8:14977 (2017)
Allele A
OR 0.02
p 2.0e-9
N 153,041
Meta-analysisLarge GWAS
multi-ancestry
Speliotes EK et al. “Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index.” Nature Genetics 42(11):937-48 (2010)
Allele A
OR 0.09
p 2.0e-12
N 123,865
Large GWAS
European
Graff M et al. “Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.” Plos Genetics 13(4):e1006528 (2017)
Allele A
OR 0.02
p 5.0e-8
N 123,097
Meta-analysisLarge GWAS
multi-ancestry
Wood AR et al. “Variants in the FTO and CDKAL1 loci have recessive effects on risk of obesity and type 2 diabetes, respectively.” Diabetologia 59(6):1214-21 (2016)
Allele A
OR 0.03
p 2.0e-10
N 119,688
Large GWAS
European

base metabolic rate measurement

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele A
OR 0.02
p 2.0e-37
N 394,642
Large GWAS
European

whole body water mass

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele A
OR 0.01
p 1.0e-36
N 394,642
Large GWAS
European

body weight

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele A
OR 0.02
p 2.0e-33
N 394,642
Large GWAS
European

lean body mass

Harris BHL et al. “New role of fat-free mass in cancer risk linked with genetic predisposition.” Scientific Reports 14(1):7270 (2024)
Allele A
OR 0.02
p 1.0e-28
N 337,739
Large GWAS
European

body height

Richardson TG et al. “Use of genetic variation to separate the effects of early and later life adiposity on disease risk: mendelian randomisation study.” Bmj (clinical Research Ed.) 369:m1203 (2020)
Allele G
OR 0.02
p 4.0e-27
N 453,169
Large GWAS
European

waist circumference

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele A
OR 0.02
p 3.0e-22
N 394,642
Large GWAS
European
Shungin D et al. “New genetic loci link adipose and insulin biology to body fat distribution.” Nature 518(7538):187-196 (2015)
Allele A
OR 0.03
p 2.0e-10
N 143,480
Large GWAS
multi-ancestry

fat pad mass

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele A
OR 0.02
p 3.0e-19
N 394,642
Large GWAS
European
▶

Research that mentions this SNP (5)

▶
Genetic variation of FTO: rs1421085 T&gt;C, rs8057044 G&gt;A, rs9939609 T&gt;A, and copy number (CNV) in Mexican Mayan school‐aged children with obesity/overweight and with normal weight
ReviewLizbeth González‐Herrera et al.(2019)· American Journal of Human Biology

A literature review of 70 studies examining single nucleotide polymorphisms (SNPs) associated with obesity in Mexican populations published 2011-2021. The authors identified SNPs with differential behavior in Mexican compared to Caucasian populations, including rs17782313 (MC4R), rs6548238 (TMEM18), rs6265 (BDNF), rs7498665 (SH2B1), and notably rs6232 (PCSK1) associated with early-onset obesity in Mexican youth. The review emphasizes ethnicity-dependent genetic effects on BMI heritability (40-70%) and highlights genes involved in cholesterol metabolism and adipokine signaling pathways.

Traits studied:AdiposityBlood pressureBody mass index (BMI)Cardiovascular risk factorsDyslipidemiaInsulin resistanceMetabolic syndromeObesityOverweightType 2 diabetes
PubMedDOIMetascience Observatory
▶
Association of the LINGO2-related SNP rs10968576 with body mass in a cohort of elderly Swedes
AssociationN=949Mathias Rask-Andersen et al.(2015)· Molecular Genetics and Genomics

Association study of 35 GWAS-identified body mass SNPs in 949 elderly Swedish participants (mean age 70-75 years). Significant association found between rs10968576 (LINGO2, intron 4) and BMI with a larger effect size (β = 0.69 kg/m²) than reported in younger populations, suggesting age-specific genetic effects on body mass in the elderly.

Traits studied:Body Mass IndexBody adiposityObesityOverweight
PubMedDOIMetascience Observatory
▶
Common obesity risk alleles in childhood attention‐deficit/hyperactivity disorder
AssociationN=4,415Özgür Albayrak et al.(2013)· American Journal of Medical Genetics Part B: Neuropsychiatric Genetics

This study examined whether 32 obesity-associated genetic risk alleles are associated with childhood ADHD in a German GWAS sample (495 cases, 1,300 controls) and a meta-analysis (2,064 trios, 896 cases, 2,455 controls). The obesity risk allele G at rs206936 in NUDT3 was associated with increased ADHD risk (OR=1.39, P=3.4×10⁻⁴), and rs6497416 in GPRC5B showed association with ADHD in the meta-analysis (P=7.2×10⁻⁴). Several obesity-related SNPs were associated with ADHD endophenotypes including inattention and hyperactivity/impulsivity.

Traits studied:Attention-deficit/hyperactivity disorder (ADHD)Body mass index (BMI)Hyperactivity/impulsivityInattentionObesity
PubMedDOIMetascience Observatory
▶
Associations of polymorphisms in the genes of FGFR2, FGF1, and RBFOX2 with breast cancer risk by estrogen/progesterone receptor status
AssociationN=2,416Yu‐Ling Cen et al.(2013)· Molecular Carcinogenesis

A hospital-based case-control study in rural and urban India (1,204 cases; 1,212 controls) examined genetic and lifestyle risk factors for breast cancer. Four SNPs in FGFR2 (rs1219648, rs2420946, rs2981575, rs2981582) showed positive associations with breast cancer (ORs 1.32-1.47). Additional SNPs in obesity and metabolic genes (rs374748 in FBN2, rs2922763 in HNF4G, rs2116830 in KCNMA1, rs11121832 in MTHFR, rs16886165 in MAP3K1, rs11594610 in TCF7L2, rs2274459 in MLN) were associated with increased breast cancer risk. Waist-to-hip ratio ≥0.95 showed strong association (OR 3.78; 95% CI 2.92-4.89), and women living first 20 years in rural areas showed protective effect (OR 0.77).

Traits studied:Breast cancerBreast cancer riskER+/PR+ breast cancerER/PR negative breast cancerTriple negative breast cancer
PubMedDOIMetascience Observatory
▶
Association studies of novel obesity-related gene variants with quantitative metabolic phenotypes in a population-based sample of 6,039 Danish individuals
AssociationN=6,039Burgdorf KS et al.(2012)· Diabetologia

This association study investigates 18 BMI-associated and 14 WHR-associated gene variants identified by prior GWAS in 6,039 Danish individuals from the Inter99 cohort. The study found that QPCTL rs2287019 C allele was associated with increased insulinogenic index (7.4%, p=4.0×10⁻⁷) and disposition index (5.6%, p=6.4×10⁻⁵), while LRP1B rs2890652 C allele was associated with insulin resistance (3.3% increase in HOMA-IR, p=0.0011). For WHR variants, LYPLAL1/SLC30A10 rs4846567 G allele carriers showed improved insulin sensitivity (5.2% lower HOMA-IR in women, p=0.00086), whereas VEGFA rs6905288 A allele carriers showed insulin resistance in women (3.7% increase in HOMA-IR, p=0.00036).

Traits studied:BIGTT-AIR (Beta Cell Function)Body Mass Index (BMI)Disposition IndexFasting Plasma GlucoseFasting Serum InsulinHOMA-IR (Insulin Resistance)Insulinogenic IndexMatsuda Index (Insulin Sensitivity)Waist-Hip Ratio (WHR)
PubMedDOIMetascience Observatory

About ZC3H4

This gene encodes a member of a family of CCCH (C-x8-C-x5-C-x3-H type) zinc finger domain-containing proteins. These zinc finger domains, which coordinate zinc finger binding and are characterized by three cysteine residues and one histidine residue, are nucleic acid-binding. Other family members are known to function in post-transcriptional regulation. [provided by RefSeq, Aug 2011]

View all ZC3H4 variants →

Gene information from NCBI Gene. Variant classifications from ClinVar.

Community Wiki

No community notes yet for this variant. Sign in to start one.

Comments

Sign in to join the discussion.

Loading comments…