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Updated: May 2, 2026

A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
Published on: June 15, 2011
Exome-based mapping and variant prioritization for inherited Mendelian disorders
Daniel C Koboldt1, David E Larson1, Lori S Sullivan2
1The Genome Institute at Washington University, St. Louis, MO 63108, USA.
Identifying disease-causing mutations in rare genetic disorders is challenging. Our new algorithm and mapping tools prioritize variants, successfully identifying pathogenic mutations in families with autosomal-dominant retinitis pigmentosa.
Area of Science:
- Genetics
- Bioinformatics
- Ophthalmology
Background:
- Exome sequencing aids rare genetic disorder gene discovery.
- Identifying causal mutations among variants is a significant challenge.
- Autosomal-dominant retinitis pigmentosa (adRP) causes vision loss.
Purpose of the Study:
- Develop and validate methods for prioritizing causal variants in family exome data.
- Implement exome-based mapping for autosomal-dominant disorders.
- Identify novel disease genes for rare genetic conditions.
Main Methods:
- Developed a variant prioritization scoring algorithm.
- Created two complementary exome-based mapping approaches for autosomal-dominant disorders.
- Applied methods to exome sequence data from 24 families with probable adRP.
Main Results:
- Eight of 24 (33%) adRP families had high-scoring pathogenic mutations in known RP genes.
- Candidate variants were identified in 17 families, with some confirmed by segregation testing.
- The MendelScan software package was developed to implement these methods.
Conclusions:
- The developed algorithm and mapping tools effectively prioritize causal variants in family-based exome studies.
- These methods facilitate the discovery of Mendelian disease genes.
- MendelScan provides a valuable resource for the research community.
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