Prenatal diagnosis of rare genetic conditions at a tertiary care hospital in Karachi.


Journal

JPMA. The Journal of the Pakistan Medical Association
ISSN: 0030-9982
Titre abrégé: J Pak Med Assoc
Pays: Pakistan
ID NLM: 7501162

Informations de publication

Date de publication:
Apr 2020
Historique:
entrez: 17 4 2020
pubmed: 17 4 2020
medline: 11 2 2021
Statut: ppublish

Résumé

This study aims to observe the spectrum of Prenatal Diagnosis of Rare Genetic conditions at a Tertiary care hospital in Karachi. This is a retrospective review conducted at the Aga Khan University Hospital, Karachi from January 2016 to July 2018. All cases undergoing invasive testing by Chorionic villus sampling for indications other than Thalassemia were included. Forty percent of patients in our cohort underwent invasive testing for muscular dystrophies particularly survival motor neuron (SMN) gene deletion and 32% for Cystic Fibrosis. Other rare disorders like JAM 3 mutation, PEX 1 gene, Barters Syndrome, Wardenberg, Bardet-Beidl Syndrome and Lissencephaly accounted for 28%. Sophistication in laboratory technology and DNA banking has improved the prenatal diagnosis of rare genetic disorders particularly SMN gene deletion. Integrated care involving foetal medicine specialist, Paediatric geneticist, and dedicated Laboratory personnel improves Counseling and Diagnosis of rare genetic conditions. Provision of dedicated nursing staff along with strengthening of welfare facility for non-affording patients would improve the uptake of invasive testing.

Identifiants

pubmed: 32296222
pii: 9747
doi: 10.5455/JPMA.11601
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

724-727

Auteurs

Kouser Karim (K)

Department of Obstetrics and Gynecology, Aga Khan University Hospital, Karachi, Pakistan.

Dhanwanti Dileep (D)

Department of Obstetrics and Gynecology, The Aga Khan University Hospital, Karachi Pakistan.

Shama Munim (S)

Department of Obstetrics and Gynecology, Aga Khan University Hospital, Karachi.

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Classifications MeSH