FastBiCmrMLM:一个快速而强大的压缩方差组件混合后勤模型,用于大型基因组病例控制全基因组关联研究
Briefings in bioinformatics
|June 18, 2024
概括
大数据集提高了遗传发现,但复杂性限制了有效性. 一种名为FastBiCmrMLM的新方法有效地分析大型数据集的二进制特征,识别更多的遗传变异和基因.
科学领域:
- 遗传学和基因组学 遗传学和基因组学
- 统计遗传学 统计遗传学
- 计算生物学 计算生物学
背景情况:
- 大型样本数据集对于全基因组关联研究 (GWAS) 和理解缺失遗传性至关重要.
- 大数据集的计算复杂性限制了对综合效应和多基因背景的考虑,降低了分析效率.
- 现有的方法很难有效地分析大量数据集,同时考虑所有遗传影响.
研究的目的:
- 开发一种创新的计算方法,用于分析 GWAS 中的大型数据集的二进制特征.
- 解决大规模遗传分析中的计算复杂性和内存要求的挑战.
- 加强基因变异的识别,包括罕见和小效应的变异和相关基因.
主要方法:
- 开发了FastBiCmrMLM,一种混合物流模型,将四个方差组件压缩为二进制特征的两个.
- 集成了三个优化样本大小,速度和减少内存使用的计算算法.
- 引入了FastBiCmrMLM-Hap,利用基于bin的平分类型而不是链接不平衡标记来挖掘额外的基因.
主要成果:
- 在模拟中,FastBiCmrMLM在识别主导,小效应 (α) 和罕见变异的模拟中表现出优于GMMAT,SAIGE和fastGWA-GLMM.
- 在英国生物库数据集中,FastBiCmrMLM检测到频率低至0.03%的变异,并且代基替代效应 (α) 接近于零.
- 对WTCCC疾病数据集的重新分析确定了29个候选基因,其中36个变异仅通过新方法检测到,并得到功能和TWAS证据的支持.
结论:
- 开发的FastBiCmrMLM和FastBiCmrMLM-Hap方法为破译二进制特征的遗传结构提供了一种新的方法.
- 这些方法有效地解决了与遗传研究中大样本大小相关的计算挑战.
- 这些发现验证了FastBiCmrMLM的实用性,用于识别更广泛的遗传变异和潜在的疾病相关基因.
更多相关视频
11:35Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
Published on: August 21, 2016
13.0K
08:27Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
3.6K
相关概念视频
Genome-wide Association Studies-GWAS
13.3K
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.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
13.3K
Comparing Copy Number Variations and SNPs
17.7K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
17.7K
Parametric Survival Analysis: Weibull and Exponential Methods
411
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
411
Comparing the Survival Analysis of Two or More Groups
177
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
177
Genomics
36.3K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.3K
Cancer Survival Analysis
342
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
342
