Unlocking Mendelian disease using exome sequencing

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منابع مشابه

Clinical whole-exome sequencing for the diagnosis of mendelian disorders.

BACKGROUND Whole-exome sequencing is a diagnostic approach for the identification of molecular defects in patients with suspected genetic disorders. METHODS We developed technical, bioinformatic, interpretive, and validation pipelines for whole-exome sequencing in a certified clinical laboratory to identify sequence variants underlying disease phenotypes in patients. RESULTS We present data...

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Clinical exome sequencing for genetic identification of rare Mendelian disorders.

IMPORTANCE Clinical exome sequencing (CES) is rapidly becoming a common molecular diagnostic test for individuals with rare genetic disorders. OBJECTIVE To report on initial clinical indications for CES referrals and molecular diagnostic rates for different indications and for different test types. DESIGN, SETTING, AND PARTICIPANTS Clinical exome sequencing was performed on 814 consecutive ...

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Homozygous and hemizygous CNV detection from exome sequencing data in a Mendelian disease cohort

We developed an algorithm, HMZDelFinder, that uses whole exome sequencing (WES) data to identify rare and intragenic homozygous and hemizygous (HMZ) deletions that may represent complete loss-of-function of the indicated gene. HMZDelFinder was applied to 4866 samples in the Baylor-Hopkins Center for Mendelian Genomics (BHCMG) cohort and detected 773 HMZ deletion calls (567 homozygous or 206 hem...

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The Number of Candidate Variants in Exome Sequencing for Mendelian Disease under No Genetic Heterogeneity

There has been recent success in identifying disease-causing variants in Mendelian disorders by exome sequencing followed by simple filtering techniques. Studies generally assume complete or high penetrance. However, there are likely many failed and unpublished studies due in part to incomplete penetrance or phenocopy. In this study, the expected number of candidate single-nucleotide variants (...

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Exome sequencing is becoming a standard tool for mapping Mendelian disease-causing (or pathogenic) non-synonymous single nucleotide variants (nsSNVs). Minor allele frequency (MAF) filtering approach and functional prediction methods are commonly used to identify candidate pathogenic mutations in these studies. Combining multiple functional prediction methods may increase accuracy in prediction....

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ژورنال

عنوان ژورنال: Genome Biology

سال: 2011

ISSN: 1465-6906

DOI: 10.1186/gb-2011-12-9-228