Recently Evolved Enhancers Emerge with High Interindividual Variability and Less Frequently Associate with Disease.

Mutations in non-coding regulatory DNA such as enhancers underlie a wide variety of diseases including developmental disorders and cancer. As enhancers rapidly evolve, understanding their function and configuration in non-human disease models can have important clinical applications. Here, we analyze enhancer configurations in tissues isolated from the common marmoset, a widely used primate model for human disease. Integrating these data with human and mouse data, we find that enhancers containing trait-associated variants are preferentially conserved. In contrast, most human-specific enhancers are highly variable between individuals, with a subset failing to contact promoters. These are located further away from genes and more often reside in inactive B-compartments. Our data show that enhancers typically emerge as instable elements with minimal biological impact prior to their integration in a transcriptional program. Furthermore, our data provide insight into which trait variations in enhancers can be faithfully modeled using the common marmoset.

Hominin-specific regulatory elements selectively emerged in oligodendrocytes and are disrupted in autism patients.

Speciation is associated with substantial rewiring of the regulatory circuitry underlying the expression of genes. Determining which changes are relevant and underlie the emergence of the human brain or its unique susceptibility to neural disease has been challenging. Here we annotate changes to gene regulatory elements (GREs) at cell type resolution in the brains of multiple primate species spanning most of primate evolution. We identify a unique set of regulatory elements that emerged in hominins prior to the separation of humans and chimpanzees. We demonstrate that these hominin gains perferentially affect oligodendrocyte function postnatally and are preferentially affected in the brains of autism patients. This preference is also observed for human-specific GREs suggesting this system is under continued selective pressure. Our data provide a roadmap of regulatory rewiring across primate evolution providing insight into the genomic changes that underlie the emergence of the brain and its susceptibility to neural disease.

AML Subtype Is a Major Determinant of the Association between Prognostic Gene Expression Signatures and Their Clinical Significance.

Relapse in acute myeloid leukemia (AML) may result from variable genetic origins or convergence on common biological processes. Exploiting the specificity and sensitivity of regulatory DNA, we analyze patient samples of multiple clinical outcomes covering various AML molecular subtypes. We uncover regulatory variation among patients translating into a transcriptional signature that predicts relapse risk. In addition, we find clusters of coexpressed genes within this signature selectively link to relapse risk in distinct patient subgroups defined by molecular subtype or AML maturation. Analyzing these gene clusters and the AML subtypes separately enhances their prognostic value substantially and provides insight in the mechanisms underlying relapse risk across the distinct patient subgroups. We propose that prognostic gene expression signatures in AML are valid only within patient subgroups and do not transcend these subgroups.