Polymorphic pseudogenes in the human genome - a comprehensive assessment.

IF 3.8 2区 生物学 Q2 GENETICS & HEREDITY Human Genetics Pub Date : 2024-12-01 Epub Date: 2024-11-02 DOI:10.1007/s00439-024-02715-9
Mónica Lopes-Marques, M João Peixoto, David N Cooper, M João Prata, Luísa Azevedo, L Filipe C Castro
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Abstract

Background: Over the past decade, variations of the coding portion of the human genome have become increasingly evident. In this study, we focus on polymorphic pseudogenes, a unique and relatively unexplored type of pseudogene whose inactivating mutations have not yet been fixed in the human genome at the global population level. Thus, polymorphic pseudogenes are characterized by the presence in the population of both coding alleles and non-coding alleles originating from Loss-of-Function (LoF) mutations. These alleles can be found both in heterozygosity and in homozygosity in different human populations and thus represent pseudogenes that have not yet been fixed in the population.

Results: A methodical cross-population analysis of 232 polymorphic pseudogenes, including 35 new examples, reveals that human olfactory signalling, drug metabolism and immunity are among the systems most impacted by the variable presence of LoF variants at high frequencies. Within this dataset, a total of 179 genes presented polymorphic LoF variants in all analysed populations. Transcriptome and proteome analysis confirmed that although these genes may harbour LoF alleles, when the coding allele is present, the gene remains active and can play a functional role in various metabolic pathways, including drug/xenobiotic metabolism and immunity. The observation that many polymorphic pseudogenes are members of multigene families argues that genetic redundancy may play a key role in compensating for the inactivation of one paralogue.

Conclusions: The distribution, expression and integration of cellular/biological networks in relation to human polymorphic pseudogenes, provide novel insights into the architecture of the human genome and the dynamics of gene gain and loss with likely functional impact.

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人类基因组中的多态假基因--全面评估。
背景:在过去十年中,人类基因组编码部分的变异日益明显。在本研究中,我们重点研究了多态假基因,这是一种独特的、相对尚未探索的假基因类型,其失活突变尚未在全球人群水平上固定在人类基因组中。因此,多态伪基因的特点是群体中既存在编码等位基因,也存在源于功能缺失(LoF)突变的非编码等位基因。这些等位基因在不同的人类种群中既可以杂合也可以同源,因此代表了尚未在种群中固定的假基因:对 232 个多态假基因(包括 35 个新的例子)进行的方法性跨人群分析表明,人类的嗅觉信号、药物代谢和免疫是受高频率 LoF 变异影响最大的系统。在这个数据集中,共有 179 个基因在所有分析人群中出现多态 LoF 变异。转录组和蛋白质组分析证实,尽管这些基因可能携带 LoF 等位基因,但当编码等位基因存在时,该基因仍保持活性,并能在各种代谢途径中发挥功能作用,包括药物/毒物代谢和免疫。观察到许多多态假基因是多基因家族的成员,这表明基因冗余可能在补偿一个旁系失活方面发挥了关键作用:与人类多态假基因有关的细胞/生物网络的分布、表达和整合,为人类基因组的结构以及可能产生功能影响的基因增减动态提供了新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Human Genetics
Human Genetics 生物-遗传学
CiteScore
10.80
自引率
3.80%
发文量
94
审稿时长
1 months
期刊介绍: Human Genetics is a monthly journal publishing original and timely articles on all aspects of human genetics. The Journal particularly welcomes articles in the areas of Behavioral genetics, Bioinformatics, Cancer genetics and genomics, Cytogenetics, Developmental genetics, Disease association studies, Dysmorphology, ELSI (ethical, legal and social issues), Evolutionary genetics, Gene expression, Gene structure and organization, Genetics of complex diseases and epistatic interactions, Genetic epidemiology, Genome biology, Genome structure and organization, Genotype-phenotype relationships, Human Genomics, Immunogenetics and genomics, Linkage analysis and genetic mapping, Methods in Statistical Genetics, Molecular diagnostics, Mutation detection and analysis, Neurogenetics, Physical mapping and Population Genetics. Articles reporting animal models relevant to human biology or disease are also welcome. Preference will be given to those articles which address clinically relevant questions or which provide new insights into human biology. Unless reporting entirely novel and unusual aspects of a topic, clinical case reports, cytogenetic case reports, papers on descriptive population genetics, articles dealing with the frequency of polymorphisms or additional mutations within genes in which numerous lesions have already been described, and papers that report meta-analyses of previously published datasets will normally not be accepted. The Journal typically will not consider for publication manuscripts that report merely the isolation, map position, structure, and tissue expression profile of a gene of unknown function unless the gene is of particular interest or is a candidate gene involved in a human trait or disorder.
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