Joshi, S. S. | bioRxiv Science

bioRxiv2019

De novo mutations in fetal brain specific enhancers play a significant role in severe intellectual disability

PurposeThe genetic aetiology of a major fraction of patients with intellectual disability (ID) remains unknown. De novo mutations (DNMs) in protein-coding genes explain up to 40% of cases, but the potential role of regulatory DNMs is still poorly understood.\n\nMethodsWe sequenced 70 whole genomes from 24 ID probands and their unaffected parents and analyzed 30 previously sequenced genomes from exome-negative ID probands.\n\nResultsWe found that DNVs were selectively enriched in fetal brain-specific enhancers that show purifying selection in human population. DNV containing enhancers were associated with genes that show preferential expression in the pre-frontal cortex, have been previously implicated in ID or related disorders, and exhibit intolerance to loss of function variants. DNVs from ID probands preferentially disrupted putative binding sites of neuronal transcription factors, as compared to DNVs from healthy individuals and most showed allele-specific enhancer activity. In addition, we identified recurrently mutated enhancer clusters that regulate genes involved in nervous system development (CSMD1, OLFM1 and POU3F3). Moreover, CRISPR-based perturbation of a DNV-containing enhancer caused CSMD1 overexpression and abnormal expression of neurodevelopmental regulators.\n\nConclusionOur results, therefore, provide new evidence to indicate that DNVs in constrained fetal brain-specific enhancers play a role in the etiology of ID.

genomics↗

bioRxiv2019

Noninvasive sleep monitoring in large-scale screening of knock-out mice reveals novel sleep-related genes

Sleep is a critical process that is well-conserved across mammalian species, and perhaps most animals, yet its functions and underlying mechanisms remain poorly understood. Identification of genes and pathways that can influence sleep may shed new light on these functions. Genomic screens enable the detection of previously unsuspected molecular processes that influence sleep. In this study, we report results from a large-scale phenotyping study of sleep-wake parameters for a population of single-gene knockout mice. Sleep-wake parameters were measured using a high throughput, non-invasive piezoelectric system called PiezoSleep. Knockout mice generated on a C57BL6/N (B6N) background were monitored for sleep and wake parameters for five days. By analyzing data from over 6000 mice representing 343 single gene knockout lines, we identified 122 genes influencing traits like sleep duration and bout length that have not been previously implicated in sleep, including those that affect sleep only during a specific circadian phase. PiezoSleep also allows assessment of breath rates during sleep and this was integrated as a supplemental tool in identifying aberrant physiology in these knockout lines. Sex differences were evident in both normal and altered sleep behavior. Through a combination of genetic and phenotypic associations, and known QTLs for sleep, we propose a set of candidate genes playing specific roles in sleep. The high \"hit rate\" demonstrates that many genes can alter normal sleep behaviors through a variety of mechanisms. Further investigation of these genes may provide insight into the pathways regulating sleep, functional aspects of sleep, or indirect potentially pathological processes that alter normal sleep.

neuroscience↗