Title |
Genetic Mapping and Exome Sequencing Identify Variants Associated with Five Novel Diseases
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Published in |
PLOS ONE, January 2012
|
DOI | 10.1371/journal.pone.0028936 |
Pubmed ID | |
Authors |
Erik G. Puffenberger, Robert N. Jinks, Carrie Sougnez, Kristian Cibulskis, Rebecca A. Willert, Nathan P. Achilly, Ryan P. Cassidy, Christopher J. Fiorentini, Kory F. Heiken, Johnny J. Lawrence, Molly H. Mahoney, Christopher J. Miller, Devika T. Nair, Kristin A. Politi, Kimberly N. Worcester, Roni A. Setton, Rosa DiPiazza, Eric A. Sherman, James T. Eastman, Christopher Francklyn, Susan Robey-Bond, Nicholas L. Rider, Stacey Gabriel, D. Holmes Morton, Kevin A. Strauss |
Abstract |
The Clinic for Special Children (CSC) has integrated biochemical and molecular methods into a rural pediatric practice serving Old Order Amish and Mennonite (Plain) children. Among the Plain people, we have used single nucleotide polymorphism (SNP) microarrays to genetically map recessive disorders to large autozygous haplotype blocks (mean = 4.4 Mb) that contain many genes (mean = 79). For some, uninformative mapping or large gene lists preclude disease-gene identification by Sanger sequencing. Seven such conditions were selected for exome sequencing at the Broad Institute; all had been previously mapped at the CSC using low density SNP microarrays coupled with autozygosity and linkage analyses. Using between 1 and 5 patient samples per disorder, we identified sequence variants in the known disease-causing genes SLC6A3 and FLVCR1, and present evidence to strongly support the pathogenicity of variants identified in TUBGCP6, BRAT1, SNIP1, CRADD, and HARS. Our results reveal the power of coupling new genotyping technologies to population-specific genetic knowledge and robust clinical data. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | <1% |
Netherlands | 1 | <1% |
Brazil | 1 | <1% |
France | 1 | <1% |
United Kingdom | 1 | <1% |
South Africa | 1 | <1% |
Unknown | 235 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 49 | 20% |
Student > Ph. D. Student | 38 | 16% |
Student > Master | 24 | 10% |
Student > Bachelor | 23 | 10% |
Other | 16 | 7% |
Other | 46 | 19% |
Unknown | 46 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 71 | 29% |
Medicine and Dentistry | 47 | 19% |
Biochemistry, Genetics and Molecular Biology | 46 | 19% |
Neuroscience | 10 | 4% |
Nursing and Health Professions | 4 | 2% |
Other | 13 | 5% |
Unknown | 51 | 21% |