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Rare GATA6 variants associated with risk of congenital heart disease phenotypes in 200,000 UK Biobank exomes
by
Keavney, Bernard D
, Williams, Simon G
, Byrne Dominic J F
in
Biobanks
/ Cardiovascular disease
/ Congenital diseases
/ Coronary artery disease
/ Etiology
/ Heart diseases
/ Phenotypes
/ Transcription factors
2022
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Rare GATA6 variants associated with risk of congenital heart disease phenotypes in 200,000 UK Biobank exomes
by
Keavney, Bernard D
, Williams, Simon G
, Byrne Dominic J F
in
Biobanks
/ Cardiovascular disease
/ Congenital diseases
/ Coronary artery disease
/ Etiology
/ Heart diseases
/ Phenotypes
/ Transcription factors
2022
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Do you wish to request the book?
Rare GATA6 variants associated with risk of congenital heart disease phenotypes in 200,000 UK Biobank exomes
by
Keavney, Bernard D
, Williams, Simon G
, Byrne Dominic J F
in
Biobanks
/ Cardiovascular disease
/ Congenital diseases
/ Coronary artery disease
/ Etiology
/ Heart diseases
/ Phenotypes
/ Transcription factors
2022
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Rare GATA6 variants associated with risk of congenital heart disease phenotypes in 200,000 UK Biobank exomes
Journal Article
Rare GATA6 variants associated with risk of congenital heart disease phenotypes in 200,000 UK Biobank exomes
2022
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Overview
Congenital heart disease (CHD) has a complex and largely uncharacterised genetic etiology. Using 200,000 UK Biobank (UKB) exomes, we assess the burden of ultra-rare, potentially pathogenic variants in the largest case/control cohort of predominantly mild CHD to date. We find an association with GATA6, a member of the GATA family of transcription factors that play an important role during heart development and has been linked with several CHD phenotypes previously. Several identified GATA6 variants are previously unreported and their roles in conferring risk to CHD warrants further study. We demonstrate that despite limitations regarding detailed familial phenotype information in large-scale biobank projects, through careful consideration of case and control cohorts it is possible to derive important associations.
Publisher
Nature Publishing Group
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