Takahashi Ippei, Ohseto Hisashi, Ueno Fumihiko, Oonuma Tomomi, Narita Akira, Obara Taku, Ishikuro Mami, Murakami Keiko, Noda Aoi, Hozawa Atsushi, Sugawara Junichi, Tamiya Gen, Kuriyama Shinichi
Graduate School of Medicine, Tohoku University, Sendai, Japan.
Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Heliyon. 2024 Aug 9;10(16):e36023. doi: 10.1016/j.heliyon.2024.e36023. eCollection 2024 Aug 30.
Whether all obesity-related variants contribute to the onset of obesity or one or a few variants cause obesity in genetically heterogeneous populations remains obscure. Here, we investigated the genetic architecture of obesity by clustering the Japanese and British populations with obesity using obesity-related factors. In Step-1, we conducted a genome-wide association study (GWAS) with body mass index (BMI) as the outcome for eligible participants. In Step-2, we assigned participants with obesity (BMI ≥25 kg/m) to five clusters based on obesity-related factors. Subsequently, participants from each cluster and those with a BMI <25 kg/m were combined. A GWAS was conducted for each cluster. Several previously identified obesity-related genes were verified in Step-1. Of the genes detected in Step-1, unique obesity-related genes were detected separately for each cluster in Step-2. Our novel findings suggest that a smaller sample size with increased homogeneity may provide insights into the genetic architecture of obesity.
在基因异质性人群中,所有与肥胖相关的变异是否都导致肥胖的发生,还是一个或几个变异导致肥胖,目前仍不清楚。在这里,我们通过使用与肥胖相关的因素对日本和英国的肥胖人群进行聚类,研究了肥胖的遗传结构。在第一步中,我们对符合条件的参与者进行了以体重指数(BMI)为结果的全基因组关联研究(GWAS)。在第二步中,我们根据与肥胖相关的因素将肥胖参与者(BMI≥25kg/m)分为五个聚类。随后,将每个聚类的参与者与BMI<25kg/m的参与者合并。对每个聚类进行了GWAS。在第一步中验证了几个先前确定的与肥胖相关的基因。在第一步中检测到的基因中,在第二步中为每个聚类分别检测到了独特的与肥胖相关的基因。我们的新发现表明,样本量较小但同质性增加可能有助于深入了解肥胖的遗传结构。