Introduction: A previous study of 200,000 exome-sequenced UK Biobank participants to test for association of rare coding variants with hypertension implicated two genes at exome-wide significance, and . A total of 42 genes had an uncorrected value <0.001. These results were followed up in a larger sample of 470,000 exome-sequenced participants.
Methods: Weighted burden analysis of rare coding variants in a new sample of 97,050 cases and 172,263 controls was carried out for these 42 genes. Those showing evidence for association were then analysed in the combined sample of 167,127 cases and 302,691 controls.
Results: The association of and with hypertension was replicated in the new sample and they and the previously implicated gene , which codes for a membrane-bound guanylate cyclase, were all exome-wide significant in the combined sample. Also exome-wide significant as risk genes for hypertension were , , and , while had a nominal value of <0.0001. and code for subunits of a soluble guanylate cyclase. For two genes, , which codes for dopamine beta hydroxylase, and , rare coding variants predicted to impair gene function were protective against hypertension, again with exome-wide significance.
Conclusion: The findings offer new insights into biological risk factors for hypertension which could be the subject of further investigation. In particular, genetic variants predicted to impair the function of either membrane-bound guanylate cyclase, activated by natriuretic peptides, or soluble guanylate cyclase, activated by nitric oxide, increase risk of hypertension. Conversely, variants impairing the function of dopamine beta hydroxylase, responsible for the synthesis of norepinephrine, reduce hypertension risk.
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http://dx.doi.org/10.1159/000535157 | DOI Listing |
PLoS One
December 2024
UCL, UCL Genetics Institute, London, United Kingdom.
Aims: To follow up results from an earlier study using an extended sample of 470,000 exome-sequenced subjects to identify genes associated with type 2 diabetes (T2D) and to characterise the distribution of rare variants in these genes.
Materials And Methods: Exome sequence data for 470,000 UK Biobank participants was analysed using a combined phenotype for T2D obtained from diagnostic and prescription data. Gene-wise weighted burden analysis of rare coding variants in the new cohort of 270,000 samples was carried out for the 32 genes previously significant with uncorrected p < 0.
medRxiv
August 2024
Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA.
Purpose: There is clear evidence that deleterious germline variants in increases risk for breast and prostate cancers; there is limited or conflicting evidence for other cancers. Genomic ascertainment was used to quantify cancer risk in germline pathogenic variant heterozygotes.
Patients And Methods: Germline variants were extracted from two exome-sequenced biobanks linked to the electronic health record: UK Biobank (n= 469,765) and Geisinger MyCode (n=170,503).
Genet Med Open
April 2024
Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD.
Purpose: Population-scale, exome-sequenced cohorts with linked electronic health records (EHR) permit genome-first exploration of phenotype. Phenotype and cancer risk are well-characterized in children with a pathogenic (HGNC ID:17098) variant. Here, the prevalence, penetrance and phenotype of pathogenic germline variants in adults was investigated in two population-scale cohorts.
View Article and Find Full Text PDFJ Hum Genet
June 2024
UCL Genetics Institute, University College London, London, UK.
A previous study of 200,000 exome-sequenced UK Biobank participants investigating the association between rare coding variants and hyperlipidaemia had implicated four genes, LDLR, PCSK9, APOC3 and IFITM5, at exome-wide significance. In addition, a further 43 protein-coding genes were significant with an uncorrected p value of <0.001.
View Article and Find Full Text PDFHum Hered
April 2024
UCL Genetics Institute, University College London, London, UK.
Introduction: Previous studies have demonstrated effects of rare coding variants on common, clinically relevant phenotypes although the additive burden of these variants makes only a small contribution to overall trait variance. Although recessive effects of individual homozygous variants have been studied, little work has been done to elucidate the impact of rare coding variants occurring together as compound heterozygotes.
Methods: In this study, attempts were made to identify pairs of variants likely to be occurring as compound heterozygotes using 200,000 exome-sequenced subjects from the UK Biobank.
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