Articles
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Nov 6, 2024 |
nature.com | Ville Salo |Eeva Sliz |Ene Reimann |Reedik Mägi |Priit Palta |Juhani Määttä
AbstractGiven 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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Sep 26, 2024 |
nature.com | Mary Barker |Kadri Koiv |Ingibjörg Magnúsdóttir |Hannah Milbourn |Bin Wang |Gillian Murphy | +15 more
AbstractIndividuals with mental illness are at higher risk of severe COVID-19 outcomes. However, previous studies on the uptake of COVID-19 vaccination in this population have reported conflicting results.
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Nov 2, 2023 |
nature.com | Maria Nethander |Sofia Movérare-Skrtic |Anders Kämpe |Ene Reimann |Louise Grahnemo |Martine Cohen-Solal | +10 more
AbstractOsteoporotic fracture is among the most common and costly of diseases. While reasonably heritable, its genetic determinants have remained elusive. Forearm fractures are the most common clinically recognized osteoporotic fractures with a relatively high heritability. To establish an atlas of the genetic determinants of forearm fractures, we performed genome-wide association analyses including 100,026 forearm fracture cases. We identified 43 loci, including 26 new fracture loci.
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Oct 4, 2023 |
nature.com | Ashley Budu-Aggrey |Anna Kilanowski |Maria K Sobczyk |Suyash Shringarpure |Ruth E. Mitchell |Kadri Reis | +68 more
AbstractAtopic dermatitis (AD) is a common inflammatory skin condition and prior genome-wide association studies (GWAS) have identified 71 associated loci. In the current study we conducted the largest AD GWAS to date (discovery N = 1,086,394, replication N = 3,604,027), combining previously reported cohorts with additional available data.
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Sep 7, 2023 |
nature.com | Alessia Faggian |Alessia David |Reedik Mägi |Emma Ahlqvist |Gudmar Thorleifsson |Robert Scott | +37 more
AbstractConventional measurements of fasting and postprandial blood glucose levels investigated in genome-wide association studies (GWAS) cannot capture the effects of DNA variability on ‘around the clock’ glucoregulatory processes. Here we show that GWAS meta-analysis of glucose measurements under nonstandardized conditions (random glucose (RG)) in 476,326 individuals of diverse ancestries and without diabetes enables locus discovery and innovative pathophysiological observations.
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