一个整合性框架来优先考虑与体重指数相关的500多个位置的基因
Daiane Hemerich1, Victor Svenstrup2, Virginia Diez Obrero2
1The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Bristol Myers Squibb, Summit, NJ, USA.
American journal of human genetics
|May 16, 2024
概括
这项研究通过分析遗传变异,确定了292个与肥胖风险相关的高得分基因. 虽然许多基因都是新的,但一些已识别的基因为体重调节和肥胖的潜在治疗点提供了新的见解.
科学领域:
- 遗传学和基因组学 遗传学和基因组学
- 代谢疾病 代谢疾病
- 计算生物学 计算生物学
背景情况:
- 肥胖影响全球超过6亿人,是许多疾病的重要风险因素.
- 全基因组关联研究 (GWAS) 已经确定了数百种与体重指数 (BMI) 相关的遗传变异,但确切确定因果基因仍然具有挑战性.
- 大多数与BMI相关的变异是非编码的,这表明影响附近基因的调节作用.
研究的目的:
- 通过GWASs识别的536个先前报告的BMI相关位点内可能的因果基因的计算优先级.
- 整合来自多种生物信息学方法的结果,以根据信心评分对基因进行排名.
- 识别参与肥胖的新型基因并了解它们的生物机制.
主要方法:
- 应用了一套计算方法,包括SMR,FINEMAP,DEPICT,MAGMA,TWAS,MSC,PoPS和最近的基因策略.
- 权重方法的结果基于它们在识别已知的与肥胖有关的基因方面的成功.
- 在536个位置分配了对优先基因的信心评分.
主要成果:
- 在264个位点内确定了292个高得分基因 (信心评分≥11).
- 已确认已知与肥胖相关的基因 (例如,MC4R,LEPR,BDNF) 和与并发病相关的已识别的基因 (例如,TCF7L2,GSK3B).
- 发现肥胖在许多得分最高的基因中发挥作用的有限证据,包括BPTF,这表明了新的生物学途径.
结论:
- 优先的基因突出显示了肥胖的复杂遗传结构,涉及神经元和外围路径.
- 确定的基因调节身体体重,昼夜节律,胰岛素分泌和葡萄糖平衡.
- 鉴定这些因果基因为了解肥胖的生物学和开发新的减肥疗法提供了基础.
关键词:
从SNP到基因的转移生物信息学是一种生物信息学.身体质量指数 (BMI) 是什么?身体重量规则的规定基因优先级的排序全基因组关联研究研究.肥胖 肥胖 肥胖 肥胖 肥胖 肥胖 肥胖 肥胖变体到功能的变体更多相关视频
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