使用多祖先精细映射来表征共同和祖先特定的信号,驱动复杂的特征
Tara Mirmira1, Nichole Ma2, Jonathan Margoliash1
1Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA.
medRxiv : the preprint server for health sciences
|November 26, 2025
概括
一种新的方法,PIPSORT,可以识别复杂特征的共同和祖先特定的遗传信号. 这种方法揭示了许多祖先特异性变体,改善了我们对多样化的种群遗传学的理解.
科学领域:
- 人口遗传学 人口遗传学
- 统计基因组学 统计基因组学
- 复杂特征分析 复杂特征分析
背景情况:
- 全基因组关联研究 (GWAS) 经常识别跨种群的共同遗传信号,但祖先特定的信号也存在.
- 精细映射方法难以区分高链接不平衡 (LD) 的因果变异,难以研究祖先特异性贡献.
- 现有的多项研究精细映射方法通常假定共享的因果变异,限制了对人口特异性影响的研究.
研究的目的:
- 引入PIPSORT,一种新的多项研究精细映射方法,用于同时检测共享和祖先特定的遗传信号.
- 量化不同祖先群体之间信号共享的证据.
- 研究不同祖先的血小板数,LDL胆固醇和精神分裂症的遗传结构.
主要方法:
- 开发了PIPSORT,这是一个多项研究精细映射框架,旨在检测共享和祖先特定的信号.
- 在英国生物银行和我们所有人的数据集中,应用PIPSORT对非洲和欧洲祖先群体的细图血小板计数和LDL胆固醇.
- 将分析扩展到精细地图化东亚与欧洲人群中的精神分裂症信号,并探索混合人群中的祖先相互作用.
主要成果:
- PIPSORT成功地确定了许多血小板数和LDL胆固醇的祖先特异信号,在多样化的"我们所有人"队列中检测到10个新信号.
- 在MPL和PCSK9中确定了已知的非洲特异性变异,这突显了PIPSORT检测人口特异性影响的能力.
- 对东亚人精神分裂症的分析揭示了多种祖先特异性信号,包括SLC39A8.8的变异. 在我们所有人的混合物分析中,确定了祖先对祖先的相互作用信号.
结论:
- 这项研究表明,复杂的特征存在多个强烈的祖先特异信号,为不同种群的遗传结构提供了新的见解.
- PIPSORT有效地区分了共享和祖先特定的信号,在分辨率和适用性方面表现优于以前的方法.
- 这些发现对未来开发复杂特征分析和个性化医学的多祖先方法具有重要意义.
相关概念视频
Genome-wide Association Studies-GWAS
15.2K
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...
15.2K
Multiple Allele Traits
37.9K
The Concept of Multiple Allelism
37.9K
Polygenic Traits
68.8K
When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
68.8K
Evolutionary Relationships through Genome Comparisons
6.8K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
6.8K
Heritability
567
Heritability is a statistical concept that measures the degree to which genetic differences among individuals contribute to trait variations within a population. It is a fundamental idea in genetics, often prone to misinterpretation. Heritability is expressed as a percentage, reflecting the proportion of variation in a specific trait across a population that can be linked to genetic differences. However, it's important to understand that heritability does not determine how "genetic"...
567
X-linked Traits
58.2K
In most mammalian species, females have two X sex chromosomes and males have an X and Y. As a result, mutations on the X chromosome in females may be masked by the presence of a normal allele on the second X. In contrast, a mutation on the X chromosome in males more often causes observable biological defects, as there is no normal X to compensate. Trait variations arising from mutations on the X chromosome are called “X-linked”.
58.2K


