Key result
Rare and ultrarare variants in GATA6, NOTCH1, FLT4, and TBX1 linked to conotruncal cardiac defects.
Why the study?
Gene-disease associations in nonsyndromic conotruncal cardiac defects from research are only partially translated to diagnostic panels, indicating a need for evidence-based consensus.
Does gene burden analysis identify significant gene-disease associations in patients with conotruncal cardiac defects compared to ethnicity-matched controls?
Case-Control (n=1,696)
Does gene burden analysis identify significant gene-disease associations in patients with conotruncal cardiac defects compared to ethnicity-matched controls?
Gene burden analysis identifies specific high-confidence genes (e.g., GATA6, NOTCH1, FLT4, TBX1) that warrant prioritization for clinical genetic testing in patients with conotruncal cardiac defects.
Answers are grounded in this paper and cite their sources.
May inform future genetic panels for conotruncal defects; leaves open clinical adoption without further validation.
Background In nonsyndromic conotruncal cardiac defects, the use of next‐generation sequencing for clinical diagnosis is increasingly adopted, but gene‐disease associations in research are only partially translated to diagnostic panels, suggesting a need for evidence‐based consensus. Methods and Results In an exome data set of 245 patients with conotruncal cardiac defects, we performed burden analysis on a high‐confidence congenital heart disease gene list (n=132) with rare (<0.01%) and ultrarare (absent in the Genome Aggregation Database) protein‐altering variants. Overall, we confirmed an excess of rare variants compared with ethnicity‐matched controls and identified 2 known genes ( GATA6, NOTCH1 ) and 4 candidate genes supported by the literature ( ANKRD11, DOCK6, NPHP4 , and STRA6 ). Ultrarare variant analysis was performed in combination with 3 other published studies (n=1451) and identified 3 genes ( FLT4, NOTCH1, TBX1 ) to be significant, whereas a subgroup analysis involving 391 Chinese subjects identified only GATA6 as significant. Conclusions We suggest that these significant genes in our rare and ultrarare burden analyses warrant prioritization for clinical testing implied for rare inherited and de novo variants. Additionally, associations on ClinVar for these genes were predominantly variants of uncertain significance. Therefore, a more stringent assessment of gene‐disease associations in a larger and ethnically diverse cohort is required to be prudent for future curation of conotruncal cardiac defect genes.
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Chui et al. (2023) conducted a case-control in nonsyndromic conotruncal cardiac defects (n=1,696). Rare and ultrarare protein-altering variants in congenital heart disease genes vs. Ethnicity-matched controls was evaluated on Gene burden of rare and ultrarare protein-altering variants. Burden analysis of rare and ultrarare variants in patients with conotruncal cardiac defects identified significant associations with genes including GATA6, NOTCH1, FLT4, and TBX1.
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