Publications by authors named "Dominic Zimmerman"

Article Synopsis
  • * A large study involving nearly 10,000 DCM cases and close to a million controls identified 70 significant genetic locations linked to the disease, revealing the importance of heart muscle cells in its development.
  • * The research also indicates that factors like higher body weight and blood pressure may contribute to DCM, and genetic risk scores can help predict the condition across different populations.
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Variant imputation, a common practice in genome-wide association studies, relies on reference panels to infer unobserved genotypes. Multiple public reference panels are currently available with variations in size, sequencing depth, and represented populations. Currently, limited data exist regarding the performance of public reference panels when used in an imputation of populations underrepresented in the reference panel.

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Purpose Of Review: Sudden cardiac arrest (SCA) remains a major health burden around the globe, most often occurring in the community (out-of-hospital cardiac arrest [OHCA]). SCA accounts for 15-20% of all natural deaths in adults in the USA and Western Europe, and up to 50% of all cardiovascular deaths. To reduce this burden, more knowledge is needed about its key facets such as its incidence in various geographies, its risk factors, and the populations that may be at risk.

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Article Synopsis
  • * A specific variant, p.I668F, was found to be common among Ashkenazi Jews, with a notable allele frequency of about 2%, indicating a potential genetic marker for these heart defects.
  • * The study revealed that PLD1 variants affected the protein's enzymatic activity, which is vital for heart development, and showed that inhibiting PLD1 could reduce early heart valve formation issues.
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Introduction: Early recognition of individuals with increased risk of sudden cardiac arrest (SCA) remains challenging. SCA research so far has used data from cardiologist care, but missed most SCA victims, since they were only in general practitioner (GP) care prior to SCA. Studying individuals with type 2 diabetes (T2D) in GP care may help solve this problem, as they have increased risk for SCA, and rich clinical datasets, since they regularly visit their GP for check-up measurements.

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