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人类基因表达的弱选择约束证据。

Evidence for Weak Selective Constraint on Human Gene Expression.

机构信息

Department of Biology, Stanford University, California 94305.

Department of Genetics, Stanford University, California 94305.

出版信息

Genetics. 2019 Feb;211(2):757-772. doi: 10.1534/genetics.118.301833. Epub 2018 Dec 15.

DOI:10.1534/genetics.118.301833
PMID:30554168
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6366908/
Abstract

Gene expression variation is a major contributor to phenotypic variation in human complex traits. Selection on complex traits may therefore be reflected in constraint on gene expression. Here, we explore the effects of stabilizing selection on -regulatory genetic variation in humans. We analyze patterns of expression variation at copy number variants and find evidence for selection against large increases in gene expression. Using allele-specific expression (ASE) data, we further show evidence of selection against smaller-effect variants. We estimate that, across all genes, singletons in a sample of 122 individuals have ∼2.2× greater effects on expression variation than the average variant across allele frequencies. Despite their increased effect size relative to common variants, we estimate that singletons in the sample studied explain, on average, only 5% of the heritability of gene expression from -regulatory variants. Finally, we show that genes depleted for loss-of-function variants are also depleted for -eQTLs and have low levels of allelic imbalance, confirming tighter constraint on the expression levels of these genes. We conclude that constraint on gene expression is present, but has relatively weak effects on most -regulatory variants, thus permitting high levels of gene-regulatory genetic variation.

摘要

基因表达的变化是人类复杂性状表型变异的主要原因。因此,对复杂性状的选择可能反映在对基因表达的约束上。在这里,我们探讨了稳定选择对人类 - 调节遗传变异的影响。我们分析了拷贝数变异的表达变异模式,并发现了对基因表达大量增加的选择证据。使用等位基因特异性表达 (ASE) 数据,我们进一步证明了对较小效应变异的选择。我们估计,在所有基因中,在 122 个人的样本中单倍体对表达变异的影响比等位基因频率下平均变异大约 2.2 倍。尽管它们相对于常见变异的效应大小增加了,但我们估计,在研究中样本中单倍体仅解释了 - 调节变异基因表达的遗传力的 5%。最后,我们表明,功能丧失变异体耗尽的基因也缺乏 -eQTL ,并且等位基因不平衡程度较低,这证实了这些基因的表达水平受到更严格的约束。我们的结论是,基因表达的约束是存在的,但对大多数 - 调节变异的影响相对较弱,从而允许高水平的基因调控遗传变异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef62/6366908/c61f98e99ed5/757f9.jpg
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1
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Genome Res. 2019 Jan;29(1):53-63. doi: 10.1101/gr.237636.118. Epub 2018 Dec 14.
2
Comparison of methods that use whole genome data to estimate the heritability and genetic architecture of complex traits.使用全基因组数据估计复杂性状遗传力和遗传结构的方法比较。
Nat Genet. 2018 May;50(5):737-745. doi: 10.1038/s41588-018-0108-x. Epub 2018 Apr 26.
3
Signatures of negative selection in the genetic architecture of human complex traits.
medRxiv. 2025 Mar 5:2025.01.18.25320755. doi: 10.1101/2025.01.18.25320755.
4
No evidence for sex-differential transcriptomes driving genome-wide sex-differential natural selection.没有证据表明性别差异转录组驱动全基因组范围的性别差异自然选择。
Am J Hum Genet. 2025 Feb 6;112(2):254-260. doi: 10.1016/j.ajhg.2024.12.016. Epub 2025 Jan 14.
5
Cis-regulatory Variation in Relation to Sex and Sexual Dimorphism in Drosophila melanogaster.性别的顺式调控变异与黑腹果蝇的性二型性。
Genome Biol Evol. 2024 Nov 1;16(11). doi: 10.1093/gbe/evae234.
6
Global impact of unproductive splicing on human gene expression.无功能剪接对人类基因表达的全球影响。
Nat Genet. 2024 Sep;56(9):1851-1861. doi: 10.1038/s41588-024-01872-x. Epub 2024 Sep 2.
7
Sources of gene expression variation in a globally diverse human cohort.全球多样化人类群体中基因表达变异的来源。
Nature. 2024 Aug;632(8023):122-130. doi: 10.1038/s41586-024-07708-2. Epub 2024 Jul 17.
8
Diagnosis of a Single-Nucleotide Variant in Whole-Exome Sequencing Data for Patients With Inherited Diseases: Machine Learning Study Using Artificial Intelligence Variant Prioritization.遗传性疾病患者全外显子测序数据中单核苷酸变异的诊断:使用人工智能变异优先级排序的机器学习研究
JMIR Bioinform Biotechnol. 2022 Sep 15;3(1):e37701. doi: 10.2196/37701.
9
Chromatin accessibility variation provides insights into missing regulation underlying immune-mediated diseases.染色质可及性变异为深入了解免疫介导疾病潜在的缺失调控机制提供了线索。
bioRxiv. 2024 Apr 15:2024.04.12.589213. doi: 10.1101/2024.04.12.589213.
10
Cell-type-specific and disease-associated expression quantitative trait loci in the human lung.人类肺部的细胞类型特异性和疾病相关表达数量性状基因座。
Nat Genet. 2024 Apr;56(4):595-604. doi: 10.1038/s41588-024-01702-0. Epub 2024 Mar 28.
人类复杂特征遗传结构中的阴性选择特征。
Nat Genet. 2018 May;50(5):746-753. doi: 10.1038/s41588-018-0101-4. Epub 2018 Apr 16.
4
A population genetic interpretation of GWAS findings for human quantitative traits.人群遗传对人类数量性状 GWAS 研究结果的解释。
PLoS Biol. 2018 Mar 16;16(3):e2002985. doi: 10.1371/journal.pbio.2002985. eCollection 2018 Mar.
5
Genetic effects on gene expression across human tissues.基因对人体各组织基因表达的影响。
Nature. 2017 Oct 11;550(7675):204-213. doi: 10.1038/nature24277.
6
The impact of rare variation on gene expression across tissues.罕见变异对跨组织基因表达的影响。
Nature. 2017 Oct 11;550(7675):239-243. doi: 10.1038/nature24267.
7
An Expanded View of Complex Traits: From Polygenic to Omnigenic.复杂性状的扩展观点:从多基因到泛基因
Cell. 2017 Jun 15;169(7):1177-1186. doi: 10.1016/j.cell.2017.05.038.
8
Constraints on eQTL Fine Mapping in the Presence of Multisite Local Regulation of Gene Expression.基因表达存在多位点局部调控时对eQTL精细定位的限制
G3 (Bethesda). 2017 Aug 7;7(8):2533-2544. doi: 10.1534/g3.117.043752.
9
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Am J Hum Genet. 2016 Dec 1;99(6):1245-1260. doi: 10.1016/j.ajhg.2016.10.003. Epub 2016 Nov 17.
10
Survey of the Heritability and Sparse Architecture of Gene Expression Traits across Human Tissues.人类组织中基因表达性状的遗传力和稀疏结构研究。
PLoS Genet. 2016 Nov 11;12(11):e1006423. doi: 10.1371/journal.pgen.1006423. eCollection 2016 Nov.