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Meta-Analysis
Copyright ©The Author(s) 2025.
World J Gastroenterol. Dec 14, 2025; 31(46): 113608
Published online Dec 14, 2025. doi: 10.3748/wjg.v31.i46.113608
Table 1 Prevalence of metabolically dysfunction-associated steatotic liver disease in different populations in China
Population
MASLD prevalence % (95%CI)
Overall30.4 (29.4-31.3)
Male35.4 (34.0-36.7)
Age
    < 45 years27.2 (25.1-29.3)
    45-65 years33.1 (31.8-34.4)
    > 65 years32.1 (29.2-35.0)
Locations
    North China30.7 (29.5-40.1)
    South China30.1 (28.8-31.4)
Regions
    Northeast35.2 (31.8-38.7)
    East30.7 (29.0-32.5)
    Southwest23.9 (20.1-28.1)
    North31.4 (30.0-32.9)
    South Central30.6 (29.1-32.2)
    Northwest28.1 (25.0-31.4)
Study periods
    Before 201027.6 (25.0-30.2)
    2010-201428.6 (26.8-30.4)
    2015-201931.7 (30.0-33.4)
    After 201936.5 (33.5-39.6)
BMI (kg/m2)
    < 18.52.7 (1.3-4.5)
    18.5-23.912.2 (10.5-14.0)
    24.0-27.942.5 (39.5-45.6)
    > 28.068.4 (62.3-74.1)
Table 2 Genetic information related to metabolic dysfunction-associated steatotic liver disease in China
Ref.
Gene
Genotype
Relationship with MASLD
Zhao et al[39], 2023rs1800591 in the MTTP geneGG, GT, and TTGenotype frequency compared with χ2 tests (P < 0.001); multivariable logistic regression analysis: MTTP rs1800591 GT + TT serotype (GG serotype as reference) increased the risk of MASLD (OR = 1.643, 95%CI: 1.226-2.203, P = 0.001). Frequencies of allele G and allele T compared with χ2 tests (P < 0.001)
Zhu et al[35], 2023rs10946398 in the CDK5 regulatory CDKAL1 geneAA, AC, and CCThe CC genotype of rs10946398 (refer to the AA serotype) are more likely to suffer from MASLD (adjusted OR = 1.509, 95%CI: 1.046-2.178, P = 0.022)
Xu et al[36], 2023rs641738 in MBOAT7 geneCC, CT, and TTThere was no association between MBOAT7 rs641738 and MASLD, and an increase in the minor T allele did not increase the risk of developing MASLD. T allele carriage (CT + TT) in MASLD patients was independently associated with advanced fibrosis (OR = 3.024, 95%CI: 1.165-7.848, P = 0.023)
Wu et al[37], 2023rs1260326 in GCKR geneCC, CT, and TTThe genotypic frequency of these three SNPs on the GCKR gene significantly differed between lean MASLD and lean non-MASLD individuals (P < 0.05). The frequency of the C allele of rs1260326 in GCKR gene was significantly lower in lean MASLD compared with lean non-MASLD individuals (OR = 0.700, 95%CI: 0.499-0.981, P = 0.038. The frequency of the C allele of rs780093 in GCKR gene was significantly lower in lean MASLD compared with lean non-MASLD individuals (OR = 0.685, 95%CI: 0.488-0.962, P = 0.028). The frequency of the C allele of rs780096 in GCKR gene was significantly lower in lean MASLD compared with lean non-MASLD individuals (OR = 0.698, 95%CI: 0.497-0.980, P = 0.037)
rs780093 in GCKR gene
rs780096 in GCKR gene
Li et al[38], 2023rs1421085 in the FTO geneCC, CT, and TTGenotype frequency compared with χ2 tests (P = 0.032); MASLD compared to non-MASLD for the frequency of allele C: OR = 1.407 with 95%CI: 1.083-1.828
rs3751812 in the FTO geneGG, GT, and TTGenotype frequency compared with χ2 tests (P = 0.015); MASLD compared to non-MASLD for the frequency of allele G: OR = 1.443 with 95%CI: 1.114-1.869
rs8050136 in the FTO geneCC, CA, and AAGenotype frequency compared with χ2 tests (P = 0.024); MASLD compared to non-MASLD for the frequency of allele C: OR = 1.430 with 95%CI: 1.099-1.861
rs9939609 in the FTO geneTT, AA, and ATGenotype frequency compared with χ2 tests (P = 0.019); MASLD compared to non-MASLD for the frequency of allele T: OR = 1.429 with 95%CI: 1.105-1.849
rs2206277 in the TFAP2B geneCC, CT, and TTGenotype frequency compared with χ2 tests (P = 0.012); MASLD compared to non-MASLD for the frequency of allele C: OR = 1.305 with 95%CI: 1.074-1.586
rs2279027 in the TBC1D1 geneCC, CT, and TTGenotype frequency compared with χ2 tests (P = 0.232); MASLD compared to non-MASLD for the frequency of allele C: OR = 1.093 with 95%CI: 0.921-1.297
rs2279026 in the TBC1D1 geneCC, CT, and TTGenotype frequency compared with χ2 tests (P = 0.232); MASLD compared to non-MASLD for the frequency of allele C: OR = 0.879 with 95%CI: 0.741-1.044
rs2279028 in the TBC1D1 geneGA, AA, and GGGenotype frequency compared with χ2 tests (P = 0.256); MASLD compared to non-MASLD for the frequency of allele G: OR = 0.880 with 95%CI: 0.742-1.045
rs780093 in the GCKR geneCC, CT, and TTGenotype frequency compared with χ2 tests (P = 0.1); MASLD compared to non-MASLD for the frequency of allele C: OR = 1.147 with 95%CI: 0.972-1.353
rs780094 in the GCKR geneCC, CT, and TTGenotype frequency compared with χ2 tests (P = 0.085); MASLD compared to non-MASLD for the frequency of allele C: OR = 0.873 with 95%CI: 0.74-1.03
rs1260326 in the GCKR geneCC, CT, and TTGenotype frequency compared with χ2 tests (P = 0.0.023); MASLD compared to non-MASLD for the frequency of allele C: OR = 0.883 with 95%CI: 0.749-1.041
rs5215 in the potassium in KCNJ11 geneCC, CT, and TTGenotype frequency compared with χ2 tests (P = 0.726); MASLD compared to non-MASLD for the frequency of allele C: OR = 1.070 with 95%CI: 0.904-1.265
Zeng et al[40], 2020rs2273773 in SIRT1 geneTT, TC, and CCGenotype frequency compared with χ2 tests for lean people (P = 0.233), non-obese people (P = 0.363), and obese people (P = 0.022)
rs2070666 in APOC3 geneTT, TA, and AAGenotype frequency compared with χ2 tests for lean people (P = 1.000), non-obese people (P = 0.030), and obese people (P = 0.022)
rs738409 in PNPLA3 geneCC, CG, and GGGenotype frequency compared with χ2 tests for lean people (P = 0.370), non-obese people (P = 0.014), and obese people (P = 0.237)
rs738408 in PNPLA3 geneCC, CT, and TTGenotype frequency compared with χ2 tests for lean people (P = 0.370), non-obese people (P = 0.014), and obese people (P = 0.237)
rs4823173 in PNPLA3 geneGG, GA, and AAGenotype frequency compared with χ2 tests for lean people (P = 0.277), non-obese people (P = 0.010), and obese people (P = 0.237)
rs2072906 in PNPLA3 geneAA, AG, and GGGenotype frequency compared with χ2 tests for lean people (P = 0.332), non-obese people (P = 0.014), and obese people (P = 0.202)
rs5186 in the AGTR1 geneAA, AC, and CCGenotype frequency compared with χ2 tests for lean people (P = 0.900), non-obese people (P = 0.801), and obese people (P = 0.024)
rs440881 in the AGTR1 geneCC, CA, and AAGenotype frequency compared with χ2 tests for lean people (P = 0.639), non-obese people (P = 0.319), and obese people (P = 0.054)
Adila et al[41], 2017rs1801131 in the MTHFR geneTT, GG, and GTGenotype frequency compared with χ2 tests (P = 0.440); multivariable logistic regression analysis: GT + GG serotype (TT serotype as reference) increased the risk of MASLD (OR = 1.159, 95%CI: 0.792-1.696, P = 0.447); GT + TT serotype (GG serotype as reference), decrease the risk of MASLD (OR = 0.648, 95%CI: 0.304-1.383, P = 0.262). Frequencies of allele G and allele T compared with χ2 tests (P = 0.785)
rs1801133 in MTHFR geneGG, AA, and GAGenotype frequency compared with χ2 tests (P = 0.261); multivariable logistic regression analysis: GA + AA serotype (GG serotype as reference) increased the risk of MASLD (OR = 1.061 95%CI: 0.723-1.556, P = 0.763); GT + TT serotype (GG serotype as reference), increased the risk of MASLD (OR = 2.023, 95%CI: 1.057-3.872, P = 0.033). Frequencies of allele G and allele A compared with χ2 tests (P = 0.410)
Liang et al[43], 2016rs738409 in PNPLA3 geneCC, CG, and GGFrequency of GG serotype: MASLD vs non-MASLD = 21.5% vs 12.3%, P = 0.003). Multivariable logistic regression analysis: GG serotype (CC serotype as reference) increased the risk of MASLD (adjusted OR = 2.21, 95%CI: 1.32-3.71); CG serotype (CC serotype as reference) increased the risk of MASLD (adjusted OR = 1.35, 95%CI: 0.92-2.00)
Xia et al[42], 2016rs738409 in PNPLA3 geneCC, CG, and GGMultivariable logistic regression analysis: GC + GG serotype (CC serotype as reference) increased the risk of MASLD (adjusted OR=1.356, 95%CI: 1.189 to 1.546)
Ye et al[44], 2014rs11377 in adiponectin geneCC, CG, and GGGenotype frequency compared with χ2 tests (P = 0.649). Frequencies of allele G and allele C compared with χ2 tests (P = 0.595)