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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
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Heart failure (HF) is a progressive syndrome involving ventricles that leads to inadequate cardiac output. It can be classified based on location and output or ejection fraction. Ejection fraction (EF) is an essential measurement in the diagnosis and surveillance of HF. Reduced EF corresponds to systolic heart failure (HFrEF). However, HF with preserved ejection fraction (HFpEF) is becoming increasingly prevalent. Also known as diastolic HF, this form of HF is related to aging. The...
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In most mammalian species, females have two X sex chromosomes and males have an X and Y. As a result, mutations on the X chromosome in females may be masked by the presence of a normal allele on the second X. In contrast, a mutation on the X chromosome in males more often causes observable biological defects, as there is no normal X to compensate. Trait variations arising from mutations on the X chromosome are called “X-linked”.
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    This study identified X-chromosome genetic variants contributing to heart failure (HF) susceptibility. The X-chromosome wide association study (XWAS) revealed significant loci for HF subtypes, highlighting its role in heart failure pathogenesis.

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    Area of Science:

    • Genetics
    • Cardiovascular Disease
    • Genomic Medicine

    Background:

    • Heart failure (HF) is a significant public health concern with a known genetic component.
    • HF is clinically divided into HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF), differing in pathophysiology.
    • Previous genome-wide association studies (GWAS) largely excluded the X chromosome, leaving X-linked genetic factors for HF understudied.

    Purpose of the Study:

    • To investigate the role of X-chromosome genetic variation in heart failure susceptibility.
    • To identify X-linked genetic loci associated with all-cause HF and its subtypes (HFrEF and HFpEF).
    • To characterize sex- and ancestry-specific genetic contributions to HF.

    Main Methods:

    • Conducted an X-chromosome wide association study (XWAS) on 590,568 Million Veteran Program participants (90,694 HF cases).
    • Employed sex- and ancestry-stratified logistic regression, adjusting for covariates, followed by multi-ancestry meta-analysis.
    • Performed functional annotation, gene-based testing, fine-mapping, colocalization, and replication in the UK Biobank.

    Main Results:

    • Identified five X-chromosome-wide significant loci for all-cause HF, five for HFrEF, and one for HFpEF in males.
    • Six loci for all-cause HF and four for HFrEF were identified in sex-combined analyses.
    • Key genes implicated include BRWD3, FHL1, CHRDL1, NDP, WDR44, and PHF8, with BRWD3 replicated in an independent cohort.

    Conclusions:

    • This multi-ancestry, sex-stratified XWAS reveals significant X-linked genetic contributions to HF and its subtypes.
    • The findings underscore the importance of the X chromosome in the pathogenesis of heart failure.
    • The study highlights the need to include X-linked variation in future genetic studies of complex diseases.