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Discovery of four recessive developmental disorders using probabilistic genotype and phenotype matching among 4,125 families.
- Source :
-
Nature genetics [Nat Genet] 2015 Nov; Vol. 47 (11), pp. 1363-9. Date of Electronic Publication: 2015 Oct 05. - Publication Year :
- 2015
-
Abstract
- Discovery of most autosomal recessive disease-associated genes has involved analysis of large, often consanguineous multiplex families or small cohorts of unrelated individuals with a well-defined clinical condition. Discovery of new dominant causes of rare, genetically heterogeneous developmental disorders has been revolutionized by exome analysis of large cohorts of phenotypically diverse parent-offspring trios. Here we analyzed 4,125 families with diverse, rare and genetically heterogeneous developmental disorders and identified four new autosomal recessive disorders. These four disorders were identified by integrating Mendelian filtering (selecting probands with rare, biallelic and putatively damaging variants in the same gene) with statistical assessments of (i) the likelihood of sampling the observed genotypes from the general population and (ii) the phenotypic similarity of patients with recessive variants in the same candidate gene. This new paradigm promises to catalyze the discovery of novel recessive disorders, especially those with less consistent or nonspecific clinical presentations and those caused predominantly by compound heterozygous genotypes.
- Subjects :
- Cell Cycle Proteins genetics
Developmental Disabilities classification
Exome genetics
Family Health
Female
Genetic Variation
Genotype
Humans
Male
Matrix Metalloproteinases, Secreted genetics
Pedigree
Phenotype
Protein-Arginine N-Methyltransferases genetics
Sequence Analysis, DNA methods
Ubiquitin-Protein Ligases genetics
United Kingdom
Developmental Disabilities genetics
Genes, Recessive
Genetic Association Studies methods
Genetic Predisposition to Disease genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1546-1718
- Volume :
- 47
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Nature genetics
- Publication Type :
- Academic Journal
- Accession number :
- 26437029
- Full Text :
- https://doi.org/10.1038/ng.3410