Abstract

Sequencing of the human genome has permitted the development of genome-wide association studies (GWAS) to analyze the genetics of a number of complex disorders such as depression, anxiety and substance abuse. Thanks to their ability to analyze huge cohort sizes, these studies have successfully identified thousands of loci associated with a broad spectrum of complex diseases. Disconcertingly, the majority of these GWAS hits occur in non-coding regions of the genome, much of which controls the cell-type-specific expression of genes essential to health. In contrast to gene coding sequences, it is a challenge to understand the function of this non-coding regulatory genome using conventional biochemical techniques in cell lines. The current commentary scrutinizes the field of complex genetics from the standpoint of the large-scale whole-genome functional analysis of the promoters and cis-regulatory elements using chromatin markers. We contrast these large scale quantitative techniques against comparative genomics and in vivo analyses including CRISPR/CAS9 genome editing to determine the functional characteristics of these elements and to understand how polymorphic variation and epigenetic changes within these elements might contribute to complex disease and drug response. Most importantly, we suggest that, although the role of chromatin markers will continue to be important in identifying and characterizing enhancers, more emphasis must be placed on their analysis in relevant in-vivo models that take account of the appropriate cell-type-specific roles of these elements. It is hoped that offering these insights might refocus progress in analyzing the data tsunami of non-coding GWAS and whole-genome sequencing “hits” that threatens to overwhelm progress in the field.

Highlights

  • Genome-wide association studies (GWAS) have revolutionized the genetic analysis of human disease

  • The vast majority of these GWAS hits do not occur neatly in coding regions but within the 98% of the genome that does not encode protein; a region of the genome referred to as the non-coding genome [3]. Another more recent and widely focused study further confirmed that the majority of GWAS hits were non-coding and made the somewhat bewildering prediction that complex human diseases are probably influenced by the combined input of many hundreds if not thousands of genetic variants [4]

  • Thanks to its decreasing costs and increasing efficiency, the use of next-generation sequencing (NGS) to produce whole-genome sequencing (WGS) technologies to sequence the genomes of large human disease cohorts is poised to supersede GWAS as the method of choice for identifying allelic variants associated with complex disease [80,81]

Read more

Summary

Introduction

Genome-wide association studies (GWAS) have revolutionized the genetic analysis of human disease. Sci. 2020, 21, 7856 studied by the Wysocka lab was only revealed in cranial neural crest cells and could not be detected in stem cells [19] These studies highlight that enhancers are required to allow genomes of multicellular organisms to communicate during their embryonic development and, most importantly, to respond appropriately within the correct context and to the appropriate cues [20]. It has been suggested that TADs limit the influence of enhancers on other promoters [28], a full understanding of the blocking effects of insulators/TAD boundary domains remains to be determined [29] In addition to their identification through CTCF binding, TADs can be identified using chromatin conformation capture techniques, such as 5C and HiC, which are able to detect long-distance chromatin interactions [30]. Before we can understand how enhancers work in maintaining health, and how polymorphisms and epigenetic factors influence their activity, we must be able to reliably identify and functionally characterize them

Chromatin Markers
An Evolutionary Perspective
Conserved Enhancers in Adult Brain Activity
Gene Regulation and Pharmacogenomics?
Enhancers as Future Personalised Drug Targets?
Nature Versus Nurture
Findings
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call