| Literature DB >> 32404165 |
Mahmoud Y Issa1, Zinayida Chechlacz2, Valentina Stanley2, Renee D George2, Jennifer McEvoy-Venneri2, Denice Belandres2, Hasnaa M Elbendary1, Khaled R Gaber3, Ahmed Nabil3, Mohamed S Abdel-Hamid4, Maha S Zaki5, Joseph G Gleeson6.
Abstract
BACKGROUND: The causes for thousands of individually rare recessive diseases have been discovered since the adoption of next generation sequencing (NGS). Following the molecular diagnosis in older children in a family, parents could use this information to opt for fetal genotyping in subsequent pregnancies, which could inform decisions about elective termination of pregnancy. The use of NGS diagnostic sequencing in families has not been demonstrated to yield benefit in subsequent pregnancies to reduce recurrence. Here we evaluated whether genetic diagnosis in older children in families supports reduction in recurrence of recessive neurogenetic disease.Entities:
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Year: 2020 PMID: 32404165 PMCID: PMC7218834 DOI: 10.1186/s12920-020-0714-1
Source DB: PubMed Journal: BMC Med Genomics ISSN: 1755-8794 Impact factor: 3.622
Fig. 1Genetic screening for disease-causing biallelic variants. All 1172 families presented with a likely autosomal recessive disorder for genetic counseling from 2010 through 2016, and underwent exome sequencing. In 413 families, no genetic diagnosis could be made despite ‘reflex to trio’ and ‘reflex to genome’. In 21 families a disease-causing variant was identified in a gene with a different inheritance pattern (i.e. de novo or X-linked), and both of these groups were excluded. In 739 families, a single variant was identified that was likely causative. Of these 233 occurred in genes not previously linked to disease and were initially excluded but in 88, subsequent variant re-interpretation following new publications allowed families to re-enroll. In all, 526 families with a pathogenic or likely pathogenic variant in a gene previously linked to a disease that was concordant with the phenotype of the older child or children in the family. (N - number of families)
Fig. 2Classes of clinical diagnoses and percentage of cases with major disease features. a Distribution of clinical diagnoses based on a leading clinical or morphological feature in 74 of 526 families with identified molecular diagnosis in a child seeking prenatal counseling for one or more pregnancies. Most common diagnosis was microcephaly followed by degenerative brain diseases (DBD) and lissencephaly/polymicrogyria (LIS/PMG). b Percent of cases with corresponding symptom. Most cases presented with motor developmental delay and intellectual disability. Abbreviations: CBA-cerebellar atrophy/hypoplasia, DBD-degenerative brain disease, EPI-epilepsy, HSP-hereditary spastic paraplegia, ID-intellectual disability, JBST-Joubert Syndrome, LIS-lissencephaly, MIC-microcephaly, PCH-ponto-cerebellar hypoplasia, PMG-polymicrogyria, n.a.-data not available
Fig. 3Prenatal genetic testing with workflow and outcome of pregnancies with previously identified disease-causing variant. Families with 101 pregnancies presented at < 16 gestational weeks (GW) from 2013 through 2017. Of these, 17 declined prenatal diagnostics after risk-to-benefit assessment. Diagnostic decision support software (DDSS) was applied to verify the molecular diagnosis and confirmed the relationship between genotype and phenotype in the remaining 84 pregnancies that received amniocentesis at 14–16 GW for targeted fetal genotyping. Of these, 24 tested positive and 60 tested negative for the biallelic disease-causing variant. Eight of the 24 pregnancies that tested positive were carried to term, and in each case the child was diagnosed with a disease concordant with the older affected sibling or siblings. Of 60 pregnancies that tested negative, one spontaneous miscarriage was excluded from evaluation, and 59 pregnancies were carried to term. In each of these 59 cases, the child was unaffected at birth and remained unaffected by the time of the last clinical follow-up for the tested disorder. Binomial goodness-of-fit test showed statistically significant difference in the primary outcome measure (95% CI, 0.04 to 0.20; P = .011) (n - number of individual pregnancies)