rs822396
This variant is located in the ADIPOQ gene.
▶Research that mentions this SNP (4)
▶Genetic variation of FTO: rs1421085 T>C, rs8057044 G>A, rs9939609 T>A, and copy number (CNV) in Mexican Mayan school‐aged children with obesity/overweight and with normal weightReviewLizbeth 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.
▶Associations of polymorphisms in the genes of FGFR2, FGF1, and RBFOX2 with breast cancer risk by estrogen/progesterone receptor statusAssociationN=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).
▶The association of SNPs in ADIPOQ, ADIPOR1, and ADIPOR2 with insulin sensitivity in a cohort of adolescents and their parentsAssociationN=703Laura J. Rasmussen-Torvik et al.(2009)· Human Genetics
This case-control association study examined 41 tag and candidate SNPs in the adiponectin (ADIPOQ) and its receptor genes (ADIPOR1, ADIPOR2) in relation to insulin sensitivity measured by euglycemic clamp in 584 white and 119 African American adolescents and their parents (n=703 total). One SNP in ADIPOQ (rs822393, p=0.0034) reached corrected significance threshold in whites and accounted for 1.9% of variance in insulin sensitivity; four additional ADIPOQ SNPs (rs4632532, rs266729, rs182052, rs7649121) showed suggestive associations (p<0.05). Two SNPs in ADIPOR1 showed suggestive associations in African Americans. The results suggest genetic variants in adiponectin pathway genes influence insulin sensitivity, with age potentially modifying the effect.
▶Variants of the Adiponectin (<emph type="ital">ADIPOQ</emph>) and Adiponectin Receptor 1 (<emph type="ital">ADIPOR1</emph>) Genes and Colorectal Cancer RiskAssociationN=1,297Kaklamani VG et al.(2008)· JAMA
This case-control study examined 10 haplotype-tagging SNPs in the ADIPOQ and ADIPOR1 genes across 1,297 individuals (441-199 cases, 658-199 controls) to determine association with colorectal cancer risk. The ADIPOQ SNP rs266729 was consistently associated with decreased colorectal cancer risk in both study cohorts (AOR=0.72-0.52, 95% CI 0.34-0.95) and in combined analysis (AOR=0.73, 95% CI 0.53-0.99). Additionally, rs822395 and rs822396 showed associations in the first study, and rs1342387 in ADIPOR1 showed an association in study 1 only. The findings suggest the adiponectin pathway may modify colorectal cancer risk.
About ADIPOQ
This gene is expressed in adipose tissue exclusively. It encodes a protein with similarity to collagens X and VIII and complement factor C1q. The encoded protein circulates in the plasma and is involved with metabolic and hormonal processes. Mutations in this gene are associated with adiponectin deficiency. Multiple alternatively spliced variants, encoding the same protein, have been identified. [provided by RefSeq, Apr 2010]
View all ADIPOQ variants →Gene information from NCBI Gene. Variant classifications from ClinVar.
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