Individuals with the 2p15p16.1 microdeletion syndrome share a complex phenotype including neurodevelopmental delay, brain malformations, microcephaly, and autistic behavior. The analysis of the shortest region of overlap (SRO) between deletions in ~ 40 patients has led to the identification of two critical regions and four strongly candidate genes (BCL11A, REL, USP34 and XPO1). However, the delineation of their role in the occurrence of specific traits is hampered by their incomplete penetrance. To better delineate the role of hemizygosity of specific regions in selected traits by leveraging information both from penetrant and non - penetrant deletions. Deletions in patients that do not present a specific trait cannot contribute to delineate the SROs. We recently developed a probabilistic model that, by considering also the non - penetrant deletions, allows a more reliable assignment of peculiar traits to specific genomic segments. We apply this method adding two new patients to the published cases. Our results delineate an intricate pattern of genotype - phenotype correlation where BCL11A emerges as the main gene for autistic behavior while USP34 and/or XPO1 haploinsufficiency are mainly associated with microcephaly, hearing loss and IUGR. BCL11A, USP34 and XPO1 genes are broadly related with brain malformations albeit with distinct patterns of brain damage. The observed penetrance of deletions encompassing different SROs and that predicted when considering each single SRO as acting independently, may reflect a more complex model than the additive one. Our approach may improve the genotype/phenotype correlation and may help to identify specific pathogenic mechanisms in contiguous gene syndromes.

Many new microdeletion syndromes have been characterized in the past decade, including 2p15-p16.1 microdeletion syndrome. More than 10 patients with this syndrome have been described. Recently, we encountered two additional patients with 2p15-p16.1 microdeletion syndrome. All patients showed variable degrees of intellectual disability, with the autistic features characteristic of this syndrome. Seven out of 16 patients (44%) showed structural abnormalities in the brain, which is also an important feature of this syndrome. The shortest region of microdeletion overlap among the patients includes two genes, USP34 and XPO1. Although these genes have some functional relevance to cancer, they have not been associated with neurological functions. Diagnosis of additional patients with 2p15-p16.1 microdeletion syndrome and identification of pathogenic mutations in this region will help identify the genes responsible for the neurological features of the syndrome.