Alopecia areata is an autoimmune disorder characterized by transient, non-scarring hair loss and preservation of the hair follicle. Hair loss can take many forms ranging from loss in well-defined patches to diffuse or total hair loss, which can affect all hair bearing sites. Patchy alopecia affecting the scalp is the most common type. Alopecia areata affects nearly 2% of the general population at some point during their lifetime. Skin biopsies of alopecia areata affected skin show a lymphocytic infiltrate in and around the bulb or the lower part of the hair follicle in anagen (hair growth) phase. A breakdown of immune privilege of the hair follicle is thought to be an important driver of alopecia areata. Genetic studies in patients and mouse models showed that alopecia areata is a complex, polygenic disease. Several genetic susceptibility loci were identified associated with signaling pathways that are important to hair follicle cycling and development. Alopecia areata is usually diagnosed based on clinical manifestations, but dermoscopy and histopathology can be helpful. Alopecia areata is difficult to manage medically, but recent advances in understanding the molecular mechanisms have revealed new treatments and the possibility of remission in the near future.

Congenital heart disease (CHD) is the most prevalent birth defect, affecting nearly 1% of live births1, but the incidence of CHD is up to ten fold higher in human fetuses2,3. A genetic contribution is strongly suggested by the association of CHD with chromosome abnormalities and high recurrence risk4. Here we report findings from a recessive forward genetic screen in fetal mice, showing the cilium and cilia transduced cell signaling play important roles in the pathogenesis of CHD. The cilium is an evolutionarily conserved organelle projecting from the cell surface with essential roles in diverse cellular processes. Using echocardiography, we ultrasound scanned 87,355 chemically mutagenized C57BL/6J fetal mice and recovered 218 CHD mouse models. Whole exome sequencing identified 91 recessive CHD mutations in 61 genes. This included 34 cilia-related genes, 16 genes involved in cilia transduced cell signaling, and 10 genes regulating vesicular trafficking, a pathway important for ciliogenesis and cell signaling. Surprisingly, many CHD genes encoded interacting proteins, suggesting an interactome protein network may provide a larger genomic context for CHD pathogenesis. These findings provide novel insights into the potential Mendelian genetic contribution to CHD in the fetal population, a segment of the human population not well studied. We note pathways identified show overlap with CHD candidate genes recovered in CHD patients5, suggesting they may have relevance to the more complex genetics of CHD overall. These CHD mouse models and >8,000 incidental mutations are sperm archived, creating a rich public resource for human disease modeling.

Full realization of the value of the loxP-flanked alleles generated by the International Knockout Mouse Consortium will require a large set of well-characterized cre-driver lines. However, many cre driver lines display excision activity beyond the intended tissue or cell type, and these data are frequently unavailable to the potential user. Here we describe a high-throughput pipeline to extend characterization of cre driver lines to document excision activity in a wide range of tissues at multiple time points and disseminate these data to the scientific community. Our results show that the majority of cre strains exhibit some degree of unreported recombinase activity. In addition, we observe frequent mosaicism, inconsistent activity and parent-of-origin effects. Together, these results highlight the importance of deep characterization of cre strains, and provide the scientific community with a critical resource for cre strain information.

Spontaneously arising mouse mutations have served as the foundation for understanding gene function for more than 100 years. We have used exome sequencing in an effort to identify the causative mutations for 172 distinct, spontaneously arising mouse models of Mendelian disorders, including a broad range of clinically relevant phenotypes. To analyze the resulting data, we developed an analytics pipeline that is optimized for mouse exome data and a variation database that allows for reproducible, user-defined data mining as well as nomination of mutation candidates through knowledge-based integration of sample and variant data. Using these new tools, putative pathogenic mutations were identified for 91 (53%) of the strains in our study. Despite the increased power offered by potentially unlimited pedigrees and controlled breeding, about half of our exome cases remained unsolved. Using a combination of manual analyses of exome alignments and whole-genome sequencing, we provide evidence that a large fraction of unsolved exome cases have underlying structural mutations. This result directly informs efforts to investigate the similar proportion of apparently Mendelian human phenotypes that are recalcitrant to exome sequencing.

Background Congenital heart disease (CHD) has a multifactorial etiology, but a genetic contribution is indicated by heritability studies. To investigate the spectrum of CHD with a genetic etiology, we conducted a forward genetic screen in inbred mice using fetal echocardiography to recover mutants with CHD. Mice are ideally suited for these studies, given they have the same four-chamber cardiac anatomy that is the substrate for CHD. Methods and Results Ethylnitrosourea mutagenized mice were ultrasound interrogated by fetal echocardiography using a clinical ultrasound system, and fetuses suspected to have cardiac abnormalities were further interrogated with an ultra-high frequency ultrasound biomicroscopy (UBM). Scanning of 46,270 fetuses revealed 1,722 with cardiac anomalies, with 27.9% dying prenatally. Most of the structural heart defects can be diagnosed using the UBM, but not with the clinical ultrasound system. Confirmation with analysis by necropsy and histopathology showed excellent diagnostic capability of UBM for most CHD. Ventricular septal defect was the most common CHD observed, while outflow tract and atrioventricular septal defects were the most prevalent complex CHD. Cardiac/visceral organ situs defects were observed at surprisingly high incidence. The rarest CHD found was hypoplastic left heart syndrome (HLHS), a phenotype never seen in mice previously. Conclusions We developed a high throughput two-tier ultrasound phenotyping strategy for efficient recovery of even rare CHD phenotypes, including the first mouse models of HLHS. Our findings support a genetic etiology for a wide spectrum of CHD and suggest the disruption of left-right patterning may play an important role in CHD.