Coding and noncoding variants in EBF3 are involved in HADDS and simplex autism.
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Padhi Evin M, Hayeck Tristan J, Cheng Zhang, Chatterjee Sumantra, Mannion Brandon J, Byrska-Bishop Marta, Willems Marjolaine, Pinson Lucile, Redon Sylvia, Benech Caroline, Uguen Kevin, Audebert-Bellanger Séverine, Le Marechal Cédric, Férec Claude, Efthymiou Stephanie, Rahman Fatima, Maqbool Shazia, Maroofian Reza, Houlden Henry, Musunuri Rajeeva, Narzisi Giuseppe, Abhyankar Avinash, Hunter Riana D, Akiyama Jennifer, Fries Lauren E, Ng Jeffrey K, Mehinovic Elvisa, Stong Nick, Allen Andrew S, Dickel Diane E, Bernier Raphael A, Gorkin David U, Pennacchio Len A, Zody Michael C, Turner Tychele N
Аннотация
RESULTS: We adapted the fitDNM statistical model to work in noncoding regions and tested enhancers for excess of DNVs in families with autism. We found only one enhancer (hs737) with nominal significance in the discovery (p = 0.0172), replication (p = 2.5 × 10-3), and combined dataset (p = 1.1 × 10-4). Each individual with a DNV in hs737 had shared phenotypes including being male, intact cognitive function, and hypotonia or motor delay. Our in vitro assessment of the DNVs showed they all reduce enhancer activity in a neuronal cell line. By epigenomic analyses, we found that hs737 is brain-specific and targets the transcription factor gene EBF3 in human fetal brain. EBF3 is genome-wide significant for coding DNVs in NDDs (missense p = 8.12 × 10-35, loss-of-function p = 2.26 × 10-13) and is widely expressed in the body. Through characterization of promoters bound by EBF3 in neuronal cells, we saw enrichment for binding to NDD genes (p = 7.43 × 10-6, OR = 1.87) involved in gene regulation. Individuals with coding DNVs have greater phenotypic severity (hypotonia, ataxia, and delayed development syndrome [HADDS]) in comparison to individuals with noncoding DNVs that have autism and hypotonia.
CONCLUSIONS: In this study, we identify DNVs in the hs737 enhancer in individuals with autism. Through multiple approaches, we find hs737 targets the gene EBF3 that is genome-wide significant in NDDs. By assessment of noncoding variation and the genes they affect, we are beginning to understand their impact on gene regulatory networks in NDDs.