Literature DB >> 34545210

Decision-making and experiences of preimplantation genetic diagnosis in inherited heart diseases: a qualitative study.

Laura Yeates1,2,3,4, Kristie McDonald2,5, Charlotte Burns2,3,4, Christopher Semsarian2,3,4, Stacy Carter6, Jodie Ingles7,8,9.   

Abstract

Preimplantation genetic diagnosis (PGD) ensures a disease-causing variant is not passed to the next generation, including for inherited heart diseases. PGD is known to cause significant emotional burden, but little is known about how parents experience PGD to select against inherited heart disease. We aim to understand how people with inherited heart disease, and their partners, experience and make decisions about PGD. Participants were recruited from a specialised inherited heart disease clinic. Qualitative semi-structured interviews were conducted with adult participants who had considered PGD. A semi-structured interview schedule explored overall experiences and reasons for undergoing PGD. Broad topics included experience of disease, reproductive history, psychosocial and financial considerations. Interviews were recorded, transcribed verbatim and thematically analysed using a framework method. Twenty participants were included (15 with inherited cardiomyopathy, 3 with inherited arrhythmia syndrome and 2 partners). In contemplating PGD, participants considered 3 main issues: past experience of disease e.g. sudden cardiac death, sport restrictions and clinical heterogeneity; intergenerational responsibilities; and practical considerations such as finances and maternal age. Among those who chose to undergo PGD (n = 7/18), past experience of a significant cardiac event, such as family history of sudden cardiac death, was important in the decision process. The decision to undergo PGD for inherited heart disease is complex and influenced by individual values and experience of disease. We highlight key areas where further discussion may assist in PGD decision processes.
© 2021. The Author(s), under exclusive licence to European Society of Human Genetics.

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Year:  2021        PMID: 34545210      PMCID: PMC8821668          DOI: 10.1038/s41431-021-00963-1

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  1 in total

1.  A new system for variant classification?

Authors:  Alisdair McNeill
Journal:  Eur J Hum Genet       Date:  2022-02       Impact factor: 5.351

  1 in total

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