基于基因的哈迪-韦恩伯格平衡测试使用基因型计数数据:适用于六种类型的癌症
Jo Nishino1, Fuyuki Miya2, Mamoru Kato3
1Division of Bioinformatics, National Cancer Center Research Institute, Tokyo, Japan. jnishino@ncc.go.jp.
BMC genomics
|February 10, 2025
概括
我们开发了一种基于基因的哈迪-韦恩伯格平衡测试 (基因-HWT) 来识别与疾病相关的遗传变异,有效地解决癌症等复杂疾病中的等位基因异质性.
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
- 癌症研究 癌症研究
背景情况:
- 调查与疾病的遗传关联可以利用病例群中的哈迪-韦恩伯格平衡 (HWE) 的偏差.
- 哈迪 - 韦恩伯格平衡分析对于绘制衰退变异有效,但缺乏对等位基异质性的方法.
- 异位基因异质性在疾病中很常见,需要新的分析方法.
研究的目的:
- 提出一种新的基于基因的哈迪-韦恩伯格测试 (基因-HWT) 来解决等位基因异质性.
- 在基因内汇总单核酸多态 (SNP) 级HWE测试统计数据.
主要方法:
- 通过汇总SNP级HWE测试统计数据开发了基因-HWT.
- 利用基因型计数数据和公开可用的链接不平衡信息.
- 通过广泛的模拟和应用到现实世界癌症数据来评估性能.
主要成果:
- 基因-HWT有效控制了I型错误,并显示了对具有多种因果变异的SNP级测试的强度增加.
- 对日本癌症全基因组关联研究数据的分析确定了DGKE和ANO3作为结直肠癌的潜在生殖系因素.
- 在六种癌症类型中建议使用FSTL4,在结直肠癌和前列腺癌中有显著的关联.
结论:
- 基因-HWT为揭示复杂疾病的遗传基础提供了一个强大的方法.
- 这种方法对推进癌症遗传学研究具有重大潜力.
- gene-HWT为遗传关联研究提供了一个计算效率高的工具.
相关概念视频
Hardy-Weinberg Principle
71.5K
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.
71.5K
Genome-wide Association Studies-GWAS
12.3K
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...
12.3K
Comparing Copy Number Variations and SNPs
17.1K
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%...
17.1K
Karyotyping
56.6K
Overview
56.6K
Test for Homogeneity
1.9K
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...
1.9K
What is Population Genetics?
57.3K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
57.3K


