It is widely assumed that human noncoding sequences comprise a substantial reservoir for functional variants impacting gene regulation and other chromosomal processes. Evolutionarily conserved noncoding sequences (CNSs) in the human genome have attracted considerable attention for their potential to simplify the search for functional elements and phenotypically important human alleles. A major outstanding question is whether functionally significant human noncoding variation is concentrated in CNSs or distributed more broadly across the genome. Here, we combine whole genome sequence data from four nonhuman species (chimp, dog, mouse, and rat) with recently available comprehensive human polymorphism data to analyze selection at single-nucleotide resolution. We show that a substantial fraction of active purifying selection in human noncoding sequences occurs outside of CNSs and is diffusely distributed across the genome. This finding suggests the existence of a large complement of human noncoding variants that may impact gene expression and phenotypic traits, the majority of which will escape detection with current approaches to genome analysis.
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http://dx.doi.org/10.1073/pnas.0705140104 | DOI Listing |
Cell Mol Biol (Noisy-le-grand)
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Department of Biology, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh-11623, Saudi Arabia.
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Department of Nephrology, Yi Ji Shan Hospital Affiliated to Wan Nan Medical College, Wuhu, Anhui, China.
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View Article and Find Full Text PDFMol Cancer
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Department of Gastroenterology, The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, 510630, P. R. China.
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View Article and Find Full Text PDFSci Rep
January 2025
Department of Endocrinology, The Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88, Jiefang Road, Shangcheng District, Hangzhou, 310000, Zhejiang Province, China.
Primary aldosteronism (PA), characterized by autonomous aldosterone overproduction, is a major cause of secondary hypertension with significant cardiovascular complications. Current treatments mainly focus on symptom management rather than addressing underlying mechanisms. This study aims to discover novel therapeutic targets for PA using integrated bioinformatics and experimental validation approaches.
View Article and Find Full Text PDFDatabase (Oxford)
January 2025
School of Computer Science and Technology, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an, Shaanxi 710126, China.
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