在使用身份按血统段的病例控制研究中进行多次测试校正
Seth D Temple1,2,3, Nicola H Chapman4, Seung Hoan Choi5
1Department of Statistics, University of Washington, Seattle, Washington, USA.
bioRxiv : the preprint server for biology
|July 17, 2025
概括
这项研究引入了一种新型的身份由血统 (IBD) 地图统计数据,以改善阿尔茨海默病 (AD) 风险位置的发现. 该方法控制了错误的发现,并确定了六个潜在的AD风险位点,推动了复杂疾病的遗传研究.
科学领域:
- 遗传学 遗传学 是一个
- 基因组分析 基因组分析
- 统计遗传学 统计遗传学
背景情况:
- 认同后裔 (IBD) 映射补充了全基因组关联研究 (GWAS) 以检测复杂的遗传结构.
- 在IBD病例控制研究中未经纠正的多重测试可能导致错误的阳性结果.
研究的目的:
- 开发一个强大的IBD映射统计和假设测试来控制家族智能错误率 (FWER).
- 使用全基因组数据识别新型阿尔茨海默病 (AD) 风险位置.
- 将IBD映射与选择扫描集成在一起,以减轻人口结构等混因素.
主要方法:
- 提出了一种新的IBD映射统计数据,该统计数据基于病例和对照-对照IBD率之间的差异.
- 利用一种计算效率高的随机过程方法来导出控制FWER的全基因组显著性水平.
- 开发了自动化工作流程,用于分类类型分阶段,本地祖先调用和IBD映射扫描.
- 配对IBD映射与选择扫描,以考虑混效应.
主要成果:
- 全基因组模拟证实了FWER的保守控制.
- 在多种人群中确定了6个AD风险的全基因组显著信号.
- 在这些位置内检测到的变异先前与阿尔茨海默病,痴呆症和记忆力下降有关.
- 在两个被提名为治疗点的位置上发现了三种基因.
结论:
- 开发的IBD测绘方法为遗传发现提供了可扩展和可重复的方法.
- 这种方法有效地利用大型联盟的资源来发现与疾病相关的位置.
- 已识别的位置和基因为了解AD病原和开发疗法提供了新的途径.
相关概念视频
01:23Test for Homogeneity
2.1K
The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can...
2.1K
01:25Strategies for Assessing and Addressing Confounding
159
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
159
01:27Confounding in Epidemiological Studies
266
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
266
01:49Hardy-Weinberg Principle
73.3K
Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
73.3K
01:49Multiple Allele Traits
34.9K
The Concept of Multiple Allelism
34.9K
01:13Multiple Comparison Tests
4.0K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.0K