Kozlitina Julia, Sookoian Silvia
Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Liver Int. 2025 Mar;45(3):e16123. doi: 10.1111/liv.16123. Epub 2024 Oct 7.
The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) has increased exponentially over the past three decades, in parallel with the global rise in obesity and type 2 diabetes. It is currently the most common cause of liver-related morbidity and mortality. Although obesity has been identified as a key factor in the increased prevalence of MASLD, individual differences in susceptibility are significantly influenced by genetic factors. PNPLA3 I148M (rs738409 C>G) is the variant with the greatest impact on the risk of developing progressive MASLD and likely other forms of steatotic liver disease. This variant is prevalent across the globe, with the risk allele (G) frequency exhibiting considerable variation. Here, we review the contribution of PNPLA3 I148M to global burden and regional differences in MASLD prevalence, focusing on recent evidence emerging from population-based sequencing studies and prevalence assessments. We calculated the population attributable fraction (PAF) as a means of quantifying the impact of the variant on MASLD. Furthermore, we employ quantitative trait locus (QTL) analysis to ascertain the associations between rs738409 and a range of phenotypic traits. This analysis suggests that these QTLs may underpin pleiotropic effects on extrahepatic traits. Finally, we outline potential avenues for further research and identify key areas for investigation in future studies.
在过去三十年中,代谢功能障碍相关脂肪性肝病(MASLD)的患病率呈指数级增长,这与全球肥胖症和2型糖尿病的增加趋势同步。它目前是肝脏相关发病和死亡的最常见原因。尽管肥胖已被确定为MASLD患病率增加的关键因素,但遗传因素对个体易感性差异有显著影响。PNPLA3 I148M(rs738409 C>G)是对进展性MASLD以及可能的其他形式脂肪性肝病发病风险影响最大的变体。这种变体在全球普遍存在,风险等位基因(G)频率存在相当大的差异。在这里,我们回顾了PNPLA3 I148M对MASLD全球负担和地区差异的贡献,重点关注基于人群的测序研究和患病率评估中出现的最新证据。我们计算了人群归因分数(PAF),作为量化该变体对MASLD影响的一种方法。此外,我们采用数量性状位点(QTL)分析来确定rs738409与一系列表型性状之间的关联。该分析表明,这些QTL可能是对肝外性状多效性影响的基础。最后,我们概述了进一步研究的潜在途径,并确定了未来研究的关键调查领域。