2,415 results match your criteria: "Institute for Molecular Medicine Finland[Affiliation]"

Genome-wide meta-analysis conducted in three large biobanks expands the genetic landscape of lumbar disc herniations.

Nat Commun

November 2024

Research unit of Population Health, Faculty of Medicine, and Biocenter Oulu, University of Oulu, Oulu, Finland.

Given that lumbar disc herniation (LDH) is a prevalent spinal condition that causes significant individual suffering and societal costs, the genetic basis of LDH has received relatively little research. Our aim is to increase understanding of the genetic factors influencing LDH. We perform a genome-wide association analysis (GWAS) of LDH in the FinnGen project and in Estonian and UK biobanks, followed by a genome-wide meta-analysis to combine the results.

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Background: We examined exposure to adulthood traumatic life events (TLEs) and their associations with depression in women and men. Then we examined whether those associations are independent of exposure loading and vulnerability including familial confounding.

Methods: The fourth survey in 2011 of the population-based Finnish Twin Cohort had 8410 participants (45 % men, mean age 60 years).

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Development and evaluation of a web-based diet quality screener for vegans (VEGANScreener): a cross-sectional, observational, multicenter, clinical study.

Front Nutr

October 2024

Department of Internal Medicine, Third Faculty of Medicine, Charles University, and Kralovske Vinohrady University Hospital and Third Faculty of Medicine, Charles University, Prague, Czechia.

Consumption of plant-based diets, including vegan diets, necessitates attention to the quality of the diet for the prevention and early detection of nutritional deficiencies. Within the VEGANScreener project, a unique brief screening tool for the assessment and monitoring of diet quality among vegans in Europe was developed. To provide a standardized tool for public use, a clinical study will be conducted to evaluate the VEGANScreener against a reference dietary assessment method and nutritional biomarkers.

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Article Synopsis
  • In Finland, isolated cleft palate (CP) occurs more frequently than cleft lip with or without cleft palate (CL/P), which is the opposite trend seen in other European countries.
  • A genome-wide association study revealed a specific single nucleotide polymorphism (rs570516915) strongly linked to CP in the Finnish population, showing significant statistical results and confirmed in other cohorts.
  • The risk allele for rs570516915 disrupts a binding site for the IRF6 transcription factor, leading to decreased IRF6 expression, indicating that this genetic alteration may be a key factor in the mechanism causing CP.
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Cancer incidence following non-neoplastic medical conditions: a prospective population-based cohort study.

Acta Oncol

November 2024

Finnish Cancer Registry, Helsinki, Helsinki, Finland; Health Sciences Unit, Faculty of Social Sciences (Health Sciences), Tampere University, Tampere, Finland; Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland.

Background And Purpose: Many non-neoplastic diseases have been established to be tumorigenic, and cancers are sometimes misdiagnosed as non-neoplastic diseases. We conducted a comprehensive registry-based study of site-specific cancer diagnosis risk following the diagnosis of any preceding medical condition (PMC) encoded by the International Classification of Diseases (ICD)-10 classification.

Material And Methods: We analyzed healthcare data and cancer data for a random population-based sample of 2.

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Article Synopsis
  • AI-supported digital microscopy is being increasingly integrated into primary health care, enhancing diagnostic access through automation and reducing the need for on-site experts.
  • This scoping review aims to compile and analyze peer-reviewed studies focusing on the use of AI in digital microscopy specifically within primary health care settings.
  • The study will systematically search major databases for relevant articles, detailing aspects like the diseases studied, sample handling, and AI models used, and will resolve any disagreements in research findings through collaboration among three researchers.
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A multiplex single-cell RNA-Seq pharmacotranscriptomics pipeline for drug discovery.

Nat Chem Biol

October 2024

Disease Networks Unit, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.

The gene-regulatory dynamics governing drug responses in cancer are yet to be fully understood. Here, we report a pipeline capable of producing high-throughput pharmacotranscriptomic profiling through live-cell barcoding using antibody-oligonucleotide conjugates. This pipeline combines drug screening with 96-plex single-cell RNA sequencing.

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  • - This study explores how machine learning can predict whether individuals with traumatic brain injury (TBI) will return to work one year after their injury, using data collected from 586 hospitalized patients across Europe.
  • - By analyzing hospital stay and follow-up data, the researchers found that including follow-up information significantly improved prediction accuracy, going from around 81% to 88%.
  • - The final model, which included five key predictors, achieved 90% accuracy and can help clinicians set realistic goals and tailor interventions for TBI patients, enhancing their chances of returning to work.
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  • Type 2 diabetes is linked to higher mortality rates after myocardial infarction (MI), with patients showing increased risk at 30 days, 1 year, and 15 years post-MI compared to those without diabetes.
  • A study of over 13,000 MI patients with diabetes revealed that factors like age, sex, cardiovascular issues, and lack of revascularization influenced mortality rates.
  • While there was some improvement in one-year outcomes for diabetic patients over the years, the overall mortality gap compared to non-diabetic patients remained unchanged.
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  • Gestational diabetes mellitus (GDM) is identified through abnormal results in an oral glucose tolerance test (OGTT), with a lack of clear understanding about how the number of abnormal values relates to negative birth outcomes.
  • A study involving 4869 pregnant women in Finland analyzed the connection between the quantity of abnormal OGTT values and adverse perinatal and neonatal results, taking into account various health and social factors.
  • Results indicated that women with two or more abnormal OGTT values had significantly higher rates of negative perinatal (35.0% vs. 27.5%) and neonatal outcomes (31.1% vs. 18.9%) compared to those with fewer or no abnormal values.
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Multiparameter imaging reveals clinically relevant cancer cell-stroma interaction dynamics in head and neck cancer.

Cell

December 2024

Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, 00290 Helsinki, Finland; Department of Cell and Tissue Dynamics, Max Planck Institute for Molecular Biomedicine, 48149 Münster, Germany; Helsinki Institute of Life Science, Biomedicum Helsinki, University of Helsinki, 00290 Helsinki, Finland; Wihuri Research Institute, Biomedicum Helsinki, University of Helsinki, 00290 Helsinki, Finland. Electronic address:

Epithelial tumors are characterized by abundant inter- and intra-tumor heterogeneity, which complicates diagnostics and treatment. The contribution of cancer-stroma interactions to this heterogeneity is poorly understood. Here, we report a paradigm to quantify phenotypic diversity in head and neck squamous cell carcinoma (HNSCC) with single-cell resolution.

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Article Synopsis
  • * Data from a Swedish cohort study showed that individuals with ADs, particularly thyroid issues and inflammatory bowel disease, are more likely to develop LADA, with specific associations for those with higher autoantibody levels.
  • * Although having ADs increases the risk of LADA, they do not seem to impact the likelihood of developing diabetic retinopathy when compared to type 2 diabetes.
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Aims/hypothesis: Some studies find an increased risk of type 1 diabetes in children exposed to antibiotics. We investigated if exposure to antibiotics increases the risk of latent autoimmune diabetes in adults (LADA) and type 2 diabetes.

Methods: We used data from a Swedish case-control study (Epidemiological Study of Risk Factors for LADA and Type 2 Diabetes [ESTRID]: LADA, n=597; type 2 diabetes, n=2065; control participants matched on participation time, n=2386) and a case-control study nested within the Norwegian Trøndelag Health Study (HUNT) (n=82/1279/2050).

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  • - The study evaluates the Center for Epidemiological Studies-Depression scale (CES-D) to determine its effectiveness in measuring depression among older adults, specifically those aged 90+ and with cognitive impairments.
  • - Using data from two Finnish twin studies, the research found consistent factor structures across various CES-D versions and confirmed their applicability for different age and cognitive statuses.
  • - Findings indicate that higher genetic risk for major depressive disorder correlates with increased depressive symptoms, suggesting that the CES-D can effectively assess depression in older populations.
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The paternally inherited Y chromosome is highly informative of genetic ancestry, therefore making it useful in studies of population history. In Finland, two Y-chromosomal haplogroups reveal the major substructure of the population: N1a1 enriched in the northeast and I1a in the southwest, suggested to reflect eastern and western ancestry contributions to the population. Yet, beyond these major Y-chromosomal lineages, the distribution of finer-scale Y-chromosomal variation has not been assessed in Finland.

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  • Low drug adherence significantly hampers the effectiveness of prescribed medications, making it crucial to understand the factors that lead to poor adherence and discontinuation of treatments.
  • Analysis of data from over 1.8 million individuals reveals that socio-demographic factors, such as needing social assistance and immigration status, negatively impact medication adherence and persistence, while demographic and health factors show less consistent effects.
  • Genetic factors show limited association with adherence, with some pharmacogenes linked to persistence; the study suggests that interventions targeting socio-economically disadvantaged populations could enhance medication uptake and overall health outcomes.
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Clear-cell renal cell carcinoma (ccRCC) is the most common origin of pancreatic metastases (PM). Distinct genomic aberrations, favorable prognosis, and clinical observations on high angiogenesis, and succeeding tyrosine kinase inhibitor (TKI) sensitivity have been reported in PM-ccRCC. However, no functional or single-cell studies have been conducted thus far.

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  • The study explores the genetic factors influencing β-cell function (BCF) and their relationship to type 2 diabetes (T2D), expanding on previous genetic research using large-scale data.
  • By analyzing GWAS data from around 26,000 individuals, the researchers identified 55 unique genetic associations related to BCF traits derived from oral glucose tolerance tests.
  • The findings reveal key genes that regulate insulin secretion and illustrate how different genetic mechanisms can affect T2D risk, offering a deeper understanding of the complex biology behind the disease.
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Venetoclax triggers sublethal apoptotic signaling in venetoclax-resistant acute myeloid leukemia cells and induces vulnerability to PARP inhibition and azacitidine.

Cell Death Dis

October 2024

Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland.

Venetoclax plus azacitidine treatment is clinically beneficial for elderly and unfit acute myeloid leukemia (AML) patients. However, the treatment is rarely curative, and relapse due to resistant disease eventually emerges. Since no current clinically feasible treatments are known to be effective at the state of acquired venetoclax resistance, this is becoming a major challenge in AML treatment.

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Background: Maternal psychological distress during pregnancy is associated with infant temperament. Whether associations persist into late childhood, whether maternal distress is associated with temperament change from infancy to late childhood, whether associations are independent of maternal concurrent distress, and whether maternal distress has sensitive exposure periods on child temperament remain unclear.

Methods: Our study includes mother-child dyads from Finnish, prospective Prediction and Prevention of Preeclampsia and Intrauterine Growth Restriction study.

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Background: The associations between mobility limitations and device-measured physical activity are sparsely studied. In this study, these associations are studied among community-dwelling older twins.

Methods: This cross-sectional study utilized data gathered in 2014-2016 for the MOBILETWIN study.

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Complex genetic variation in nearly complete human genomes.

bioRxiv

September 2024

Institute for Medical Biometry and Bioinformatics, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany.

Article Synopsis
  • * It achieves a high level of completeness, closing 92% of previous assembly gaps and fully assembling complex regions, including 1,852 complex structural variants and 1,246 human centromeres.
  • * The findings lead to significant improvements in genotyping accuracy and enable the detection of over 26,000 structural variants per sample, enhancing the potential for future disease association research.
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  • * A comparison of non-cancerous and patient-derived VFC cells shows an association between cancer progression, reduction in specific cell adhesion proteins, and changes in how cells move collectively.
  • * Mimicking the normal mechanical activity of healthy tissue can reduce tumor-promoting factors, while a correlation was found between ECM content, a signaling protein (YAP), and patient survival, suggesting potential therapeutic strategies targeting these pathways.
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Fine-mapping a genome-wide meta-analysis of 98,374 migraine cases identifies 181 sets of candidate causal variants.

medRxiv

May 2024

Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.

Migraine is a highly prevalent neurovascular disorder for which genome-wide association studies (GWAS) have identified over one hundred risk loci, yet the causal variants and genes remain mostly unknown. Here, we meta-analyzed three migraine GWAS including 98,374 cases and 869,160 controls and identified 122 independent risk loci of which 35 were new. Fine-mapping of a meta-analysis is challenging because some variants may be missing from some participating studies and accurate linkage disequilibrium (LD) information of the variants is often not available.

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Hypertension and hypertensive disorders of pregnancy (HDP) cause a significant burden of disease on societies and individuals by increasing cardiovascular disease risk. Environmental risk factors alone do not explain the observed sexual dimorphism in lifetime blood pressure (BP) trajectories nor inter-individual variation in HDP risk. In this short review, we focus on the genetics of hypertension-related sex differences and HDP and discuss the importance of genetics utilization for sex-specific hypertension risk prediction.

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