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Discovery of four recessive developmental disorders using probabilistic genotype and phenotype matching among 4,125 families.

Authors :
Akawi N
McRae J
Ansari M
Balasubramanian M
Blyth M
Brady AF
Clayton S
Cole T
Deshpande C
Fitzgerald TW
Foulds N
Francis R
Gabriel G
Gerety SS
Goodship J
Hobson E
Jones WD
Joss S
King D
Klena N
Kumar A
Lees M
Lelliott C
Lord J
McMullan D
O'Regan M
Osio D
Piombo V
Prigmore E
Rajan D
Rosser E
Sifrim A
Smith A
Swaminathan GJ
Turnpenny P
Whitworth J
Wright CF
Firth HV
Barrett JC
Lo CW
FitzPatrick DR
Hurles ME
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.

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