Genome MedicineGenetic & Genomic MedicinePeer-reviewed journal article
Mendelian gene identification through mouse embryo viability screening
Pilar CacheiroiD, Carl Henrik Westerberg, Jesse MageriD, Mary E. DickinsoniD, Lauryl M. J. NutteriD, Violeta Muñoz‐FuentesiD, Chih‐Wei HsuiD, Ignatia B. Van den VeyveriD, Ann Marie FlennikeniD, Colin McKerlieiD, Stephen A. MurrayiD, Lydia TebouliD, Jason D. HeaneyiD, K. C. Kent LloydiD, Louise LanoueiD, Robert E. BrauniD, Jacqueline K. WhiteiD, Amie Creighton, Valerie Laurin, Ruolin Guo, Dawei Qu, Sara E. WellsiD, James Cleak, Rosie K. A. Bunton-StasyshyniD, Michelle E. StewartiD, , John PullingeriD
Abstract
The diagnostic rate of Mendelian disorders in sequencing studies continues to increase, along with the pace of novel disease gene discovery. However, variant interpretation in novel genes not currently associated with disease is particularly challenging and strategies combining gene functional evidence with approaches that evaluate the phenotypic similarities between patients and model organisms have proven successful. A full spectrum of intolerance to loss-of-function variation has been previously described, providing evidence that gene essentiality should not be considered as a simple and fixed binary property. Here we further dissected this spectrum by assessing the embryonic stage at which homozygous loss-of-function results in lethality in mice from the International Mouse Phenotyping Consortium, classifying the set of lethal genes into one of three windows of lethality: early, mid or late gestation lethal. We studied the correlation between these windows of lethality and various gene features including expression across development, paralogy and constraint metrics together with human disease phenotypes, and found that the members of the early gestation lethal category show distinctive characteristics and a strong enrichment for genes linked with recessive forms of inherited metabolic disease. Based on these findings, we explored a gene similarity approach for novel gene discovery focused on this subset of lethal genes. Finally, we investigated unsolved cases from the 100,000 Genomes Project recruited under this disease category to look for signs of enrichment of biallelic predicted pathogenic variants among early gestation lethal genes and highlight two novel candidates with phenotypic overlap between the patients and the mouse knockout.
- organism: mouse
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- Citations
- 14
- FWCI
- 1.96
- Field percentile
- top 13%
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