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The International Mouse Phenotyping Consortium (IMPC): a functional catalogue of the mammalian genome that informs conservation.

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TLDR
Using gorilla genomic data, it is shown how genes essential to development in mice can be used to help assess the potentially deleterious impact of gene variants in other species, and how these analyses can be routinely applied.
Abstract
The International Mouse Phenotyping Consortium (IMPC) is building a catalogue of mammalian gene function by producing and phenotyping a knockout mouse line for every protein-coding gene. To date, the IMPC has generated and characterised 5186 mutant lines. One-third of the lines have been found to be non-viable and over 300 new mouse models of human disease have been identified thus far. While current bioinformatics efforts are focused on translating results to better understand human disease processes, IMPC data also aids understanding genetic function and processes in other species. Here we show, using gorilla genomic data, how genes essential to development in mice can be used to help assess the potentially deleterious impact of gene variants in other species. This type of analyses could be used to select optimal breeders in endangered species to maintain or increase fitness and avoid variants associated to impaired-health phenotypes or loss-of-function mutations in genes of critical importance. We also show, using selected examples from various mammal species, how IMPC data can aid in the identification of candidate genes for studying a condition of interest, deliver information about the mechanisms involved, or support predictions for the function of genes that may play a role in adaptation. With genotyping costs decreasing and the continued improvements of bioinformatics tools, the analyses we demonstrate can be routinely applied.

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A 660-Kb Deletion with Antagonistic Effects on Fertility and Milk Production Segregates at High Frequency in Nordic Red Cattle: Additional Evidence for the Common Occurrence of Balancing Selection in Livestock

TL;DR: It is demonstrated that embryonic lethal mutations account for a non-negligible fraction of the decline in fertility of domestic cattle, and that associated positive effects on milk yield may account for part of the negative genetic correlation.
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The Collaborative Cross: A Systems Genetics Resource for Studying Host-Pathogen Interactions

TL;DR: Progress utilizing the Collaborative Cross as a platform to develop improved models of pathogen-induced disease and to map polymorphic host response loci associated with variation in susceptibility to pathogens is summarized.
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Transgenic and physiological mouse models give insights into different aspects of amyotrophic lateral sclerosis

TL;DR: Two key types of amyotrophic lateral sclerosis mouse models are compared: transgenic mice and those that express genes at physiological levels, exploring the advantages of each type for studying pathomechanisms and comparing the phenotypes for genes in which the two classes of model exist.
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Human and mouse essentiality screens as a resource for disease gene discovery.

TL;DR: A Full Spectrum of Intolerance to Loss-of-Function (FUSIL) categorization that integrates gene essentiality information to aid disease gene discovery is proposed.
References
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Journal ArticleDOI

An integrated map of genetic variation from 1,092 human genomes

TL;DR: It is shown that evolutionary conservation and coding consequence are key determinants of the strength of purifying selection, that rare-variant load varies substantially across biological pathways, and that each individual contains hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites.
Journal ArticleDOI

Identification and characterization of essential genes in the human genome

TL;DR: Using the bacterial clustered regularly interspaced short palindromic repeats (CRISPR) system, this article constructed a genome-wide single-guide RNA library to screen for genes required for proliferation and survival in a human cancer cell line.
Journal ArticleDOI

High-Resolution CRISPR Screens Reveal Fitness Genes and Genotype-Specific Cancer Liabilities

TL;DR: It is demonstrated that context-dependent fitness genes accurately recapitulate pathway-specific genetic vulnerabilities induced by known oncogenes and reveal cell-type-specific dependencies for specific receptor tyrosine kinases, even in oncogenic KRAS backgrounds.
Journal ArticleDOI

A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes

TL;DR: Functional and evolutionary differences between LoF-tolerant and recessive disease genes and a method for using these differences to prioritize candidate genes found in clinical sequencing studies are described.
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