2020
DOI: 10.1371/journal.pgen.1008663
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Loss-of-function tolerance of enhancers in the human genome

Abstract: Previous studies have surveyed the potential impact of loss-of-function (LoF) variants and identified LoF-tolerant protein-coding genes. However, the tolerance of human genomes to losing enhancers has not yet been evaluated. Here we present the catalog of LoF-tolerant enhancers using structural variants from whole-genome sequences. Using a conservative approach, we estimate that individual human genomes possess at least 28 LoF-tolerant enhancers on average. We assessed the properties of LoF-tolerant enhancers … Show more

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Cited by 13 publications
(15 citation statements)
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“…Fourth, most studies of LoF mutations have focused on variations in coding regions; however, a mutation in the promoter or UTR could also affect gene expression ( Yang et al., 2018 ; Niu et al., 2019 ; Xu et al., 2020 ). Synthetic biology can offer interesting insights into the beneficial effects of regulator loss.…”
Section: Future Directionsmentioning
confidence: 99%
“…Fourth, most studies of LoF mutations have focused on variations in coding regions; however, a mutation in the promoter or UTR could also affect gene expression ( Yang et al., 2018 ; Niu et al., 2019 ; Xu et al., 2020 ). Synthetic biology can offer interesting insights into the beneficial effects of regulator loss.…”
Section: Future Directionsmentioning
confidence: 99%
“…When we plotted the median pLI of genes linked to DAEs, or to nDAEs, genes linked to DAEs scored significantly higher (Figure 2F). Finally, a recent study determined loss-of-function tolerance scores for non-coding sequences, by using machine learning and structural variants from whole genome sequencing, including homozygous enhancer deletions [50]. Using this analysis, we observed that DAEs were more likely to be intolerant to loss-of-function, whereas nDAEs were more often tolerant to loss-of-function (Figure 2G).…”
Section: Sequence Characteristics Distinguish Daes From Ndaesmentioning
confidence: 86%
“…To determine whether different DNA sequence features distinguish different enhancer groups and whether there is any association between these features and functional prediction, we considered the following features: (i) the non-coding essential regulation (ncER) score (https://github.com/TelentiLab/ncER_datasets/; updated 06-03-2019) [43]; (ii) GC content, as determined by the GCcontent R packages based on BSgenome.Hsapiens.UCSC.hg19 (version 1.4.3); (iii) conservation score for each enhancer, as derived from the gscores R packages based on phastCons100way.UCSC.hg19 (version 3.7.2) [44]; (iv) Orion scores [47]; (v) CADD scores [48]; (vi) Haploinsufficiency scores [50] and (vii) probability of loss-of-function intolerance (pLI) score [49]. The overlaps between DNA sequence features and enhancer coordinates were defined using intersectBed.…”
Section: Enhancer Sequence Characteristics Analysismentioning
confidence: 99%
“…A study of single conserved limb enhancers showed that 90% of these had no impact on cognate gene expression (21), as well as highly conserved ß-globin enhancers (22). Computational analyses have predicted that most (96%) of enhancers within the genome are tolerant to LoF mutations, and that many essential genes will have a degree of enhancer redundancy (23). In the vast majority of examples, deletion of a single conserved enhancer element has no impact on cognate gene expression (21, 22).…”
Section: Discussionmentioning
confidence: 99%