Publications by authors named "Ida Surakka"

Background: Abdominal aortic aneurysm (AAA) is a life-threatening vascular disease with no effective pharmacological treatments. The causal role of triglycerides (TGs) in AAA development remains unclear and controversial.

Methods: Mendelian randomization was applied to assess causal relationships between lipoproteins, circulating proteins, metabolites, and the risk of AAA.

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Background: Prior work suggests modifiable cardiovascular risk factors (CRFs) account for 80% to 90% of the risk for incident myocardial infarction. The contributions of genetic and other novel CRFs have not been simultaneously assessed in contemporary data sets.

Methods: In the United Kingdom Biobank, CRFs were identified and Cox proportional hazards models with traditional CRFs (hypertension, diabetes, dyslipidemia, waist-to-hip ratio, diet, exercise, alcohol, and socioeconomic deprivation) and contemporary/genetic CRFs (Lp(a) [lipoprotein(a)], hsCRP [high-sensitivity C-reactive protein], familial hypercholesterolemia variants, and polygenic risk score for coronary artery disease) were constructed for coronary artery disease.

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Venous thromboembolism (VTE) is a leading cause of morbidity and mortality. Although many genetic risk factors have been identified, a substantial portion of the heritability remains unexplained. Here we employ genome wide association study (GWAS) VTE across 9 international cohorts of the Global Biobank Meta-analysis Initiative (GBMI) to address this question, along with in vivo functional validation.

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Atrial fibrillation (AF) is the most common heart rhythm abnormality and is a leading cause of heart failure and stroke. This large-scale meta-analysis of genome-wide association studies increased the power to detect single-nucleotide variant associations and found more than 350 AF-associated genetic loci. We identified candidate genes related to muscle contractility, cardiac muscle development and cell-cell communication at 139 loci.

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Disruptions of blood pressure (BP) circadian variation are closely associated with an increased risk of cardiovascular disease. Thus, gaining insights into the molecular mechanisms of BP circadian variation is essential for comprehending BP regulation. Human genetic analyses suggest that PR domain-containing protein 16 (PRDM16), a transcription factor highly expressed in vascular smooth muscle cells (VSMCs), is significantly associated with BP-related traits.

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  • This study identifies and characterizes rare coding alleles linked to genetic dyslipidemia, a major risk factor for coronary artery disease, using data from over 1.1 million individuals across various ancestries.
  • It discovered 800 significant variants across 209 genes, with a notable focus on non-European populations, and included a diverse cohort of participants to enhance genetic understanding.
  • The findings highlight potential therapeutic targets, particularly new genes that may help lower LDL cholesterol levels, providing valuable insights for future genetic disease research and drug development.
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The incidence of metabolic dysfunction-associated steatohepatitis (MASH) is on the rise, and with limited pharmacological therapy available, identification of new metabolic targets is urgently needed. Oxalate is a terminal metabolite produced from glyoxylate by hepatic lactate dehydrogenase (LDHA). The liver-specific alanine-glyoxylate aminotransferase (AGXT) detoxifies glyoxylate, preventing oxalate accumulation.

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  • - The study investigates the role of genetics in postoperative nausea and vomiting (PONV), which impacts patient satisfaction and results in unplanned hospital admissions after surgery, hypothesizing that genetic factors might explain some of the variability in risk that traditional factors do not cover.
  • - Researchers conducted a genome-wide association study using data from patients at Michigan Medicine and Vanderbilt University Medical Center, identifying 46 genetic variants associated with PONV and developing a polygenic risk score to better predict occurrences in different patient cohorts.
  • - Findings showed that higher polygenic risk scores corresponded with increased risk for developing PONV, suggesting that genetic predisposition combined with known clinical risks can improve understanding and prediction of this complication in surgical patients.
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  • Abdominal aortic aneurysm (AAA) is a serious vascular disease that currently lacks effective treatments, prompting research into its causative factors.
  • This study used genetic, proteomic, and metabolomic approaches along with mouse models to show that high levels of triglycerides (TG) contribute significantly to the development and rupture of AAA.
  • The findings highlight that managing triglyceride-rich lipoproteins could be crucial for treating AAA and suggest that targeting TG pathways may inhibit AAA progression.
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  • Vascular disease is linked to dementia risk, and the study aims to clarify how specific markers like white matter hyperintensity (WMH), clinical stroke, and blood pressure (BP) contribute to this risk.
  • The research utilized a two-sample mendelian randomization approach and population-based studies, examining genetic influences on WMH, stroke, and BP in relation to Alzheimer's disease (AD) and all-cause dementia.
  • Findings suggest that a higher WMH burden is causally associated with an increased risk of AD, while certain blood pressure traits might offer a protective effect against dementia.
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  • Genetic research on atrial fibrillation (AF) and myocardial infarction (MI) primarily compares patients with these conditions to healthy individuals, missing key differences among patients themselves.
  • The study analyzes over 500,000 participants to identify variations in clinical and genetic traits between AF and MI patients experiencing single versus recurrent disease events.
  • Findings show that recurrent AF patients are younger and healthier than single event patients, while the opposite is true for MI patients, highlighting distinct genetic risks and characteristics across these groups.
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Background: The extent to which the relationships between clinical risk factors and coronary artery disease (CAD) are altered by CAD polygenic risk score (PRS) is not well understood. Here, we determine whether the interactions between clinical risk factors and CAD PRS further explain risk for incident CAD.

Methods: Participants were of European ancestry from the UK Biobank without prevalent CAD.

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  • Trace elements play a crucial role in human health but can also be toxic; their absorption and effects are influenced by genetics, but this area is still under-researched.
  • This study conducted genome-wide analysis on 57 trace elements using blood samples from Scandinavian individuals, identifying 11 new genetic locations linked to the levels of specific elements such as arsenic, zinc, and selenium.
  • The findings suggest some trace elements may have weak to moderate health impacts, with notable indications of increased zinc potentially being harmful and linked to prostate cancer, though more validation is required.
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Primary open-angle glaucoma (POAG), a leading cause of irreversible blindness globally, shows disparity in prevalence and manifestations across ancestries. We perform meta-analysis across 15 biobanks (of the Global Biobank Meta-analysis Initiative) (n = 1,487,441: cases = 26,848) and merge with previous multi-ancestry studies, with the combined dataset representing the largest and most diverse POAG study to date (n = 1,478,037: cases = 46,325) and identify 17 novel significant loci, 5 of which were ancestry specific. Gene-enrichment and transcriptome-wide association analyses implicate vascular and cancer genes, a fifth of which are primary ciliary related.

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  • Abdominal aortic aneurysm (AAA) has a significant genetic component, with a study identifying 141 genetic associations, including 97 that were previously unknown.
  • The research highlighted key biological pathways related to AAA, such as lipid metabolism, vascular development, and inflammation, indicating how these factors contribute to the disease's progression.
  • The study also suggests that lowering non-high-density lipoprotein cholesterol could be beneficial for AAA patients, advocating for the use of PCSK9 inhibitors based on evidence from a mouse model where PCSK9 loss prevented AAA development.
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  • A healthy placenta is crucial for both the mother and fetus during pregnancy, and this study uses placental weight as a measure of its growth.
  • Genome-wide analyses across the genomes of mothers, fathers, and fetuses identified 40 genetic signals related to placental weight, revealing a mix of influences from both parents and the fetus.
  • The findings suggest that higher placental weight, driven by fetal genetics, is linked to an increased risk of preeclampsia and shorter pregnancy duration, highlighting the role of fetal insulin in regulating placental growth.
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Importance: There is increasing recognition that vascular disease, which can be treated, is a key contributor to dementia risk. However, the contribution of specific markers of vascular disease is unclear and, as a consequence, optimal prevention strategies remain unclear.

Objective: To disentangle the causal relation of several key vascular traits to dementia risk: (i) white matter hyperintensity (WMH) burden, a highly prevalent imaging marker of covert cerebral small vessel disease (cSVD); (ii) clinical stroke; and (iii) blood pressure (BP), the leading risk factor for cSVD and stroke, for which efficient therapies exist.

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Stroke is the second leading cause of death and disability worldwide. Stroke prevalence varies by sex and ancestry, possibly due to genetic heterogeneity between subgroups. We performed a genome-wide meta-analysis of 16 biobanks across multiple ancestries to study the genetics of ischemic stroke (60,176 cases, 1,310,725 controls) as part of the Global Biobank Meta-analysis Initiative (GBMI) and further combined the results with previously published MegaStroke.

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  • The study investigates various factors linked to the recurrence of coronary artery disease (CAD) among 7,024 middle-aged adults in the UK Biobank, focusing on genetic, lifestyle, and clinical risk factors.
  • Findings show that current smoking and age at the first CAD diagnosis are significant predictors of recurrence, alongside other factors like cholesterol levels and overall health indicators.
  • The research highlights that combining traditional risk factors with genetic risk assessments improves the ability to predict CAD recurrence, increasing the accuracy of risk models.
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  • A genome-wide association study (GWAS) was conducted on thoracic aortic aneurysms and dissections (TAAD) involving nearly 450,000 participants, identifying 21 genetic risk loci, 17 of which are new findings.
  • The study utilized various analytical methods to pinpoint specific genes and cell types linked to TAAD, reinforcing that it is a unique condition not caused by the usual vascular disease factors.
  • The research highlights that the genetic basis of TAAD is complex, similar to other traits, and is not only influenced by significant protein-altering gene variants.
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  • About 20% of patients with non-alcoholic fatty liver disease (NAFLD) are lean, suggesting it's a distinct subtype of the disease that has unique metabolic, genetic, and clinical features.
  • The study used magnetic resonance imaging to diagnose and analyze the metabolic profiles of lean versus obese NAFLD patients, identifying elevated hepatic iron and fasting glucose as notable traits in lean NAFLD.
  • Key findings indicate specific genetic loci linked to lean NAFLD, particularly highlighting type 2 diabetes and liver cirrhosis as significant health risks, emphasizing the need for tailored clinical management for this group.
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  • The integration of genomic data with electronic health records aims to enhance predictions of postoperative complications like acute kidney injury (AKI) through genome-wide association studies (GWAS).
  • Researchers conducted a GWAS on cardiac surgery-associated AKI using genetic data from two biorepositories, analyzing clinical risk factors alongside polygenic risk scores.
  • Although they identified six suggestive genetic variants linked to AKI, polygenic risk scores did not show a significant association with AKI outcomes, while other clinical factors, such as diabetes and case duration, were significant predictors.
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