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Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Epigenetics is the study of inherited changes in a cell's phenotype without changing the DNA sequences. It provides a form of memory for the differential gene expression pattern to maintain cell lineage, position-effect variegation, dosage compensation, and maintenance of chromatin structures such as telomeres and centromeres. For example, the structure and location of the centromere on chromosomes are epigenetically inherited. Its functionality is not dictated or ensured by the underlying...
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喘与大脑皮层结构的变化之间的关联:孟德尔的随机化研究.

Yingying Cai1, Hongwei Yang1,2, Xiaohe Ren1

  • 1School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Box142, No. 44 West Culture Road, Lixia District, Jinan, China.

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概括

这项研究没有发现喘和整体大脑皮层结构之间存在显著联系. 在进一步分析后,特定大脑区域的探索性发现没有得到进一步的分析,这表明需要对喘和大脑变化的更多研究.

关键词:
喘 喘 是一种因果关系是因果关系.皮层 皮层 皮层全基因组的关联.磁共振成像技术 磁共振成像技术门德尔的随机化

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科学领域:

  • 神经科学是一个神经科学.
  • 遗传学 是一个遗传学.
  • 公共卫生 公共卫生

背景情况:

  • 在喘患者中已知有中枢神经系统的改变.
  • 喘和大脑皮质结构之间的确切关系还不太清楚.
  • 这项研究调查了喘和皮质结构变化之间的联系.

研究的目的:

  • 确定喘与大脑皮层结构变化之间的关联,使用双样本孟德尔随机化方法.
  • 利用大规模的遗传和神经成像数据进行强有力的分析.

主要方法:

  • 利用英国生物库全基因组关联研究 (GWAS) 的喘数据 (N=408,442).
  • 选择单核酸多态 (SNP) 作为仪器变量.
  • 分析了来自ENIGMA联盟的皮质厚度和表面积数据 (N=51,665).
  • 使用反变量加权 (IVW) 作为主要方法,使用MR-Egger和加权中位数进行灵敏度分析.

主要成果:

  • 在喘和全球皮质表面积或厚度之间没有发现统计学意义上的关联.
  • 观察到名义上的关联是对准海马回环的表面积和尾部前带皮层厚度.
  • 这些特定区域的关联在对多次比较进行校正后并不显著.

结论:

  • 该研究没有发现喘和全球皮质指标之间存在显著的关联.
  • 在特定的大脑区域的探索性发现需要进一步调查.
  • 需要更多的研究来了解喘中的潜在神经解剖学变化.