Genome ResearchGeneticsPeer-reviewed journal article
Growth disrupting mutations in epigenetic regulatory molecules are associated with abnormalities of epigenetic aging
Aaron R. JeffriesiD, Reza MaroofianiD, Claire G. SalteriD, Barry A. ChiozaiD, Harold E. CrossiD, Michael A Patton, Emma Louise DempsteriD, I. Karen TempleiD, Deborah MackayiD, Faisal Ibne RezwaniD, Lise AksglædeiD, Diana BaralleiD, Tabib A. Dabir, Matthew Frank HunteriD, Arveen KamathiD, Ajith KumariD, Ruth A Newbury-EcobiD, Angelo SelicorniiD, Amanda SpringeriD, Lionel Van MaldergemiD, Vinod Cherian VargheseiD, Naomi Yachelevich, Katrina Tatton‐BrowniD, Jonathan S. MilliD, Andrew H. CrosbyiD, Emma L. BapleiD
- Citations
- 61
Abstract
Germline mutations in fundamental epigenetic regulatory molecules including DNA methyltransferase 3A (DNMT3A) are commonly associated with growth disorders, whereas somatic mutations are often associated with malignancy. We profiled genome-wide DNA methylation patterns in DNMT3A c.2312G>A; p.(Arg771Gln) carriers in a large Amish sibship with Tatton-Brown-Rahman syndrome (TBRS), their mosaic father and 15 TBRS patients with distinct pathogenic de novo DNMT3A variants. This defined widespread DNA hypomethylation at specific genomic sites enriched at locations annotated to genes involved in morphogenesis, development, differentiation, and malignancy predisposition pathways. TBRS patients also displayed highly accelerated DNA methylation aging. Notably, these findings were most striking in a carrier of the AML associated driver mutation p.Arg882Cys. Our studies additionally defined phenotype related accelerated and decelerated epigenetic aging in two histone methyltransferase disorders; NSD1 Sotos syndrome overgrowth disorder and KMT2D Kabuki syndrome growth impairment. Together, our findings provide fundamentally new insights into aberrant epigenetic mechanisms, the role of epigenetic machinery maintenance and determinants of biological aging in these growth disorders.
- organism: human
- assay: DNA methylation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: GWAS / association mapping
- approach: statistical model
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