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Next generation sequencing panel based on single molecule molecular inversion probes for detecting genetic variants in children with hypopituitarism.

María I Pérez Millán | Sebastian A Vishnopolska | Alexandre Z Daly | Juan P Bustamante | Adriana Seilicovich | Ignacio Bergadá | Débora Braslavsky | Ana C Keselman | Rosemary M Lemons | Amanda H Mortensen | Marcelo A Marti | Sally A Camper | Jacob O Kitzman
Molecular genetics & genomic medicine | 2018

Congenital Hypopituitarism is caused by genetic and environmental factors. Over 30 genes have been implicated in isolated and/or combined pituitary hormone deficiency. The etiology remains unknown for up to 80% of the patients, but most cases have been analyzed by limited candidate gene screening. Mutations in the PROP1 gene are the most common known cause, and the frequency of mutations in this gene varies greatly by ethnicity. We designed a custom array to assess the frequency of mutations in known hypopituitarism genes and new candidates, using single molecule molecular inversion probes sequencing (smMIPS).

Pubmed ID: 29739035

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: NHGRI NIH HHS, United States
    Id: T32 HG000040
  • Agency: NICHD NIH HHS, United States
    Id: R01 HD030428
  • Agency: NICHD NIH HHS, United States
    Id: R37 HD030428
  • Agency: NICHD NIH HHS, United States
    Id: R01 HD097096
  • Agency: NIGMS NIH HHS, United States
    Id: T32 GM007544

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ExAc (tool)

RRID:SCR_004068

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. An aggregated data platform for genome sequencing data created by a coalition of investigators seeking to aggregate and harmonize exome sequencing data from a variety of large-scale sequencing projects, and to make summary data available for the wider scientific community. The data set provided on this website spans 61,486 unrelated individuals sequenced as part of various disease-specific and population genetic studies. They have removed individuals affected by severe pediatric disease, so this data set should serve as a useful reference set of allele frequencies for severe disease studies. All of the raw data from these projects have been reprocessed through the same pipeline, and jointly variant-called to increase consistency across projects. They ask that you not publish global (genome-wide) analyses of these data until after the ExAC flagship paper has been published, estimated to be in early 2015. If you''re uncertain which category your analyses fall into, please email them. The aggregation and release of summary data from the exomes collected by the Exome Aggregation Consortium has been approved by the Partners IRB (protocol 2013P001477, Genomic approaches to gene discovery in rare neuromuscular diseases).

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RRID:SCR_006169

Archive of aggregated information about sequence variation and its relationship to human health. Provides reports of relationships among human variations and phenotypes along with supporting evidence. Submissions from clinical testing labs, research labs, locus-specific databases, expert panels and professional societies are welcome. Collects reports of variants found in patient samples, assertions made regarding their clinical significance, information about submitter, and other supporting data. Alleles described in submissions are mapped to reference sequences, and reported according to HGVS standard.

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