Publications by authors named "Kinnunen L"

Article Synopsis
  • Genome-wide association studies have found numerous genetic loci linked to glycemic traits, but connecting these loci to specific genes and biological pathways remains a challenge.
  • Researchers conducted meta-analyses of exome-array studies across four glycemic traits, analyzing data from over 144,000 participants, which led to the identification of coding variant associations in more than 60 genes.
  • The study revealed significant pathways related to insulin secretion, zinc transport, and fatty acid metabolism, enhancing understanding of glycemic regulation and making data available for further research.
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  • * A large study involving over 150,000 individuals found that genetic effects on fasting insulin vary by sex, specifically at the IRS1 and ZNF12 gene locations, with women showing higher RNA expression levels for ZNF12.
  • * The findings highlight that fasting insulin in women correlates more strongly with certain conditions like waist-to-hip ratio and anorexia nervosa, indicating that metabolic health differences between sexes may provide insight into their respective genetic influences.
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We integrate comeasured gene expression and DNA methylation (DNAme) in 265 human skeletal muscle biopsies from the FUSION study with >7 million genetic variants and eight physiological traits: height, waist, weight, waist-hip ratio, body mass index, fasting serum insulin, fasting plasma glucose, and type 2 diabetes. We find hundreds of genes and DNAme sites associated with fasting insulin, waist, and body mass index, as well as thousands of DNAme sites associated with gene expression (eQTM). We find that controlling for heterogeneity in tissue/muscle fiber type reduces the number of physiological trait associations, and that long-range eQTMs (>1 Mb) are reduced when controlling for tissue/muscle fiber type or latent factors.

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The Northern Finland Birth Cohort 1986 is a large population-based birth cohort, which aims to promote health and wellbeing of the population. In this paper, we systematically review the psychiatric research performed in the cohort until today, i.e.

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Objective: To investigate whether parental TBI increases the overall risk for psychiatric disorders and the risk for specific psychiatric diagnoses in the children affected by parental TBI.

Methods: The 1987 Finnish Birth Cohort (n = 59 476) were followed up through national registers from birth to the end of 2008. The diagnoses of cohort members and their parents were obtained from the Care Register of Health Care, provided by the National Institute of Health and Welfare.

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From whole organisms to individual cells, responses to environmental conditions are influenced by genetic makeup, where the effect of genetic variation on a trait depends on the environmental context. RNA-sequencing quantifies gene expression as a molecular trait, and is capable of capturing both genetic and environmental effects. In this study, we explore opportunities of using allele-specific expression (ASE) to discover cis-acting genotype-environment interactions (GxE)-genetic effects on gene expression that depend on an environmental condition.

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In addition to sunlight and dietary sources, several genes in the metabolic pathway of vitamin D affect serum 25-hydroxyvitamin D (25OHD) concentration. It is not known whether this genetic regulation is influenced by host characteristics. We investigated the effect of age and gender on the genetic regulation of serum 25OHD concentration.

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To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.

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Objective: The in utero environment plays an important role in shaping development and later life health of the fetus. It has been shown that maternal genetic factors in the metabolic pathway of vitamin D associate with type 1 diabetes in the child. In this study we analyzed the genetic determinants of serum 25-hydroxyvitamin D (25OHD) concentration during pregnancy in mothers whose children later developed type 1 diabetes and in control mothers.

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To characterize type 2 diabetes (T2D)-associated variation across the allele frequency spectrum, we conducted a meta-analysis of genome-wide association data from 26,676 T2D case and 132,532 control subjects of European ancestry after imputation using the 1000 Genomes multiethnic reference panel. Promising association signals were followed up in additional data sets (of 14,545 or 7,397 T2D case and 38,994 or 71,604 control subjects). We identified 13 novel T2D-associated loci ( < 5 × 10), including variants near the , , and genes.

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Article Synopsis
  • Physical activity (PA) can influence genetic factors linked to obesity, leading to a deeper understanding of how genetics and lifestyle interact in shaping body fat.
  • A study involving over 200,000 adults analyzed the relationship between PA and various obesity-related measurements, confirming that the impact of the FTO gene is reduced in physically active individuals.
  • The research also discovered 11 new genetic regions associated with body fat, indicating that considering lifestyle factors like PA can help uncover more genetic links to obesity.
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  • Many genome-wide association studies (GWAS) often overlook environmental factors like smoking, which might affect the genetic analysis of obesity traits.
  • This study analyzed GWAS data from over 240,000 participants, including smokers and nonsmokers, to find genetic links to body mass index (BMI) and body fat distribution.
  • The researchers identified 23 new genetic loci related to obesity and 9 loci that interact with smoking, suggesting that smoking can influence genetic predispositions to body fat.
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  • Researchers analyzed genetic data from over 39,000 people to find new associations linked to glycemic traits and type 2 diabetes risk.
  • They discovered a specific variant (p.Pro50Thr) that increases fasting plasma insulin levels by 12%, particularly in individuals of Finnish descent.
  • This variant is associated with lower insulin sensitivity and a slightly higher risk of developing type 2 diabetes, highlighting its functional impact in glucose regulation.
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  • * Our method calculated averaged principal components (AvPCs) that represent body shape, with the first four AvPCs accounting for over 99% of the variability and showing heritability linked to cardiometabolic outcomes.
  • * We conducted genome-wide association studies across 65 studies and identified six new genetic loci associated with different AvPCs, emphasizing that analyzing multiple traits can uncover complex genetic factors that single-trait analyses might miss.
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Background/objectives: The human leukocyte antigen (HLA) gene region associates with the risk for several autoimmune diseases, including type 1 diabetes. An association between vitamin D deficiency and several autoimmune diseases has been suggested. We tested the association between serum 25-hydroxyvitamin D (25OHD) concentrations and HLA alleles in pregnant Finnish women.

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The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of the heritability of this disease. Here, to test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing in 12,940 individuals from five ancestry groups.

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  • The article with DOI 10.1371/journal.pgen.1005378 has been revised to correct previous errors.
  • The corrections enhance the accuracy and clarity of the findings presented.
  • Researchers and readers are encouraged to refer to the updated version for the most reliable information.
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Type 2 diabetes (T2D) results from the combined effects of genetic and environmental factors on multiple tissues over time. Of the >100 variants associated with T2D and related traits in genome-wide association studies (GWAS), >90% occur in non-coding regions, suggesting a strong regulatory component to T2D risk. Here to understand how T2D status, metabolic traits and genetic variation influence gene expression, we analyse skeletal muscle biopsies from 271 well-phenotyped Finnish participants with glucose tolerance ranging from normal to newly diagnosed T2D.

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We performed fine mapping of 39 established type 2 diabetes (T2D) loci in 27,206 cases and 57,574 controls of European ancestry. We identified 49 distinct association signals at these loci, including five mapping in or near KCNQ1. 'Credible sets' of the variants most likely to drive each distinct signal mapped predominantly to noncoding sequence, implying that association with T2D is mediated through gene regulation.

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Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium.

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