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生物性别影响整个人类基因组的功能变异。

Biological sex affects functional variation across the human genome.

作者信息

Jones Angela G, Connelly Guinevere G, Dalapati Trisha, Wang Liuyang, Schott Benjamin H, San Roman Adrianna K, Ko Dennis C

机构信息

Department of Molecular Genetics and Microbiology, School of Medicine, Duke University; Durham, NC, USA.

Duke University Program in Genetics and Genomics, Duke University; Durham, NC, USA.

出版信息

medRxiv. 2024 Sep 5:2024.09.03.24313025. doi: 10.1101/2024.09.03.24313025.

DOI:10.1101/2024.09.03.24313025
PMID:39281750
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11398442/
Abstract

Humans display sexual dimorphism across many traits, but little is known about underlying genetic mechanisms and impacts on disease. We utilized single-cell RNA-seq of 480 lymphoblastoid cell lines to reveal that the vast majority (79%) of sex-biased genes are targets of transcription factors that display sex-biased expression. Further, we developed a two-step regression method that identified sex-biased expression quantitative trait loci (sb-eQTL) across the genome. In contrast to previous work, these sb-eQTL are abundant (n=10,754; FDR 5%) and reproducible (replication up to π=0.56). These sb-eQTL are enriched in over 600 GWAS phenotypes, including 120 sb-eQTL associated with the female-biased autoimmune disease multiple sclerosis. Our results demonstrate widespread genetic impacts on sexual dimorphism and identify possible mechanisms and clinical targets for sex differences in diverse diseases.

摘要

人类在许多性状上表现出性别二态性,但对于其潜在的遗传机制以及对疾病的影响却知之甚少。我们利用480个淋巴母细胞系的单细胞RNA测序来揭示,绝大多数(79%)的性别偏向基因是那些表现出性别偏向表达的转录因子的靶标。此外,我们开发了一种两步回归方法,该方法在全基因组范围内鉴定出了性别偏向的表达数量性状位点(sb-eQTL)。与之前的研究不同,这些sb-eQTL数量丰富(n = 10,754;FDR < 5%)且具有可重复性(复制率高达π = 0.56)。这些sb-eQTL在600多种全基因组关联研究(GWAS)表型中富集,其中包括120个与女性偏向的自身免疫性疾病多发性硬化症相关的sb-eQTL。我们的研究结果证明了遗传因素对性别二态性具有广泛影响,并确定了多种疾病中性别差异的可能机制和临床靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c424/11398442/51c5baf3ad13/nihpp-2024.09.03.24313025v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c424/11398442/5bc8d717d097/nihpp-2024.09.03.24313025v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c424/11398442/239f79414e41/nihpp-2024.09.03.24313025v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c424/11398442/a36b29dc7f5a/nihpp-2024.09.03.24313025v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c424/11398442/91c1de6c2104/nihpp-2024.09.03.24313025v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c424/11398442/51c5baf3ad13/nihpp-2024.09.03.24313025v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c424/11398442/5bc8d717d097/nihpp-2024.09.03.24313025v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c424/11398442/239f79414e41/nihpp-2024.09.03.24313025v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c424/11398442/a36b29dc7f5a/nihpp-2024.09.03.24313025v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c424/11398442/91c1de6c2104/nihpp-2024.09.03.24313025v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c424/11398442/51c5baf3ad13/nihpp-2024.09.03.24313025v1-f0005.jpg

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本文引用的文献

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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。
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The human Y and inactive X chromosomes similarly modulate autosomal gene expression.人类的 Y 染色体和失活的 X 染色体同样调节着常染色体基因的表达。
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COLOCdb: a comprehensive resource for multi-model colocalization of complex traits.COLOCdb:一个用于复杂性状多模型共定位的综合资源。
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The RNA helicase DDX39B activates FOXP3 RNA splicing to control T regulatory cell fate.RNA 解旋酶 DDX39B 通过激活 FOXP3 RNA 剪接来控制 T 调节性细胞命运。
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Single-cell RNA-seq uncovers dynamic processes orchestrated by RNA-binding protein DDX43 in chromatin remodeling during spermiogenesis.单细胞 RNA 测序揭示了 RNA 结合蛋白 DDX43 在精子发生过程中染色质重塑过程中的动态调控。
Nat Commun. 2023 Apr 29;14(1):2499. doi: 10.1038/s41467-023-38199-w.
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The human inactive X chromosome modulates expression of the active X chromosome.人类失活的X染色体调节活性X染色体的表达。
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Deciphering genetic causes for sex differences in human health through drug metabolism and transporter genes.通过药物代谢和转运基因解码人类健康性别差异的遗传原因。
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Single-cell genome-wide association reveals that a nonsynonymous variant in confers increased susceptibility to influenza virus.单细胞全基因组关联研究表明,[基因名称]中的一个非同义变异会增加对流感病毒的易感性。 (注:原文中“in ”部分缺失具体基因信息)
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