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Assessing risk for Mendelian disorders in a Bronx population.
diSibio, Guy; Upadhyay, Kinnari; Meyer, Philip; Oddoux, Carole; Ostrer, Harry.
Afiliação
  • diSibio G; Department of Clinical ScienceCalifornia Northstate University College of MedicineElk GroveCalifornia.
  • Upadhyay K; Department of PathologyAlbert Einstein College of MedicineBronxNew York.
  • Meyer P; Department of PathologyAlbert Einstein College of MedicineBronxNew York.
  • Oddoux C; Department of PathologyAlbert Einstein College of MedicineBronxNew York.
  • Ostrer H; Department of PathologyAlbert Einstein College of MedicineBronxNew York.
Mol Genet Genomic Med ; 5(5): 516-523, 2017 Sep.
Article em En | MEDLINE | ID: mdl-28944235
ABSTRACT

BACKGROUND:

To identify variants likely responsible for Mendelian disorders among the three major ethnic groups in the Bronx that might be useful to include in genetic screening panels or whole exome sequencing filters and to estimate their likely prevalence in these populations.

METHODS:

Variants from a high-density oligonucleotide screen of 192 members from each of the three ethnic-national populations (African Americans, Puerto Ricans, and Dominicans) were evaluated for overlap with next generation sequencing data. Variants were curated manually for clinical validity and utility using the American College of Medical Genetics (ACMG) scoring system. Additional variants were identified through literature review.

RESULTS:

A panel of 75 variants displaying autosomal dominant, autosomal recessive, autosomal recessive/digenic recessive, X-linked recessive, and X-linked dominant inheritance patterns representing 39 Mendelian disorders were identified among these populations.

CONCLUSION:

Screening for a broader range of disorders could offer the benefits of early or presymptomatic diagnosis and reproductive choice.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mol Genet Genomic Med Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mol Genet Genomic Med Ano de publicação: 2017 Tipo de documento: Article