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Sökning: WFRF:(Wik E)

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  • Loth, Daan W, et al. (författare)
  • Genome-wide association analysis identifies six new loci associated with forced vital capacity
  • 2014
  • Ingår i: Nature Genetics. - 1061-4036 .- 1546-1718. ; 46, s. 669-677
  • Tidskriftsartikel (refereegranskat)abstract
    • Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 additional individuals of European ancestry. We found six new regions associated at genome-wide significance (P < 5 × 10(-8)) with FVC in or near EFEMP1, BMP6, MIR129-2-HSD17B12, PRDM11, WWOX and KCNJ2. Two loci previously associated with spirometric measures (GSTCD and PTCH1) were related to FVC. Newly implicated regions were followed up in samples from African-American, Korean, Chinese and Hispanic individuals. We detected transcripts for all six newly implicated genes in human lung tissue. The new loci may inform mechanisms involved in lung development and the pathogenesis of restrictive lung disease.
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  • Vouzouneraki, K., et al. (författare)
  • Temporal relationship of sleep apnea and acromegaly: a nationwide study
  • 2018
  • Ingår i: Endocrine. - : Springer. - 1355-008X .- 1559-0100. ; 62:2, s. 456-463
  • Tidskriftsartikel (refereegranskat)abstract
    • PurposePatients with acromegaly have an increased risk of sleep apnea, but reported prevalence rates vary largely. Here we aimed to evaluate the sleep apnea prevalence in a large national cohort of patients with acromegaly, to examine possible risk factors, and to assess the proportion of patients diagnosed with sleep apnea prior to acromegaly diagnosis.MethodsCross-sectional multicenter study of 259 Swedish patients with acromegaly. At patients' follow-up visits at the endocrine outpatient clinics of all seven university hospitals in Sweden, questionnaires were completed to assess previous sleep apnea diagnosis and treatment, cardiovascular diseases, smoking habits, anthropometric data, and S-IGF-1 levels. Daytime sleepiness was evaluated using the Epworth Sleepiness Scale. Patients suspected to have undiagnosed sleep apnea were referred for sleep apnea investigations.ResultsOf the 259 participants, 75 (29%) were diagnosed with sleep apnea before the study start. In 43 (57%) of these patients, sleep apnea had been diagnosed before the diagnosis of acromegaly. After clinical assessment and sleep studies, sleep apnea was diagnosed in an additional 20 patients, yielding a total sleep apnea prevalence of 37%. Higher sleep apnea risk was associated with higher BMI, waist circumference, and index finger circumference. Sleep apnea was more frequent among patients with S-IGF-1 levels in the highest quartile.ConclusionSleep apnea is common among patients with acromegaly, and is often diagnosed prior to their acromegaly diagnosis. These results support early screening for sleep apnea in patients with acromegaly and awareness for acromegaly in patients with sleep apnea.
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  • Husby, O., et al. (författare)
  • Dealing with L1 background and L2 dialects in Norwegian CAPT
  • 2011
  • Ingår i: Proceedings of ISCA International Workshop on Speech and Language Technology in Education.
  • Konferensbidrag (refereegranskat)abstract
    • This article describes the CALST project, in which the primary aim is to develop Ville-N, a CAPT system for learners of Norwegian as a second language. Since there is no accepted pronunciation standard in Norwegian, the system uses four dialects (represented by one male and one female speaker each). Ville-N makes use of L1-L2map, a tool for multi-lingual contrastive analysis, to generate a list of expected pronunciation problems. These can be used to tailor pronunciation and listening exercises. The tool can also be used for other target languages. We propose L1-L2map as a collaborative tool for the CAPT community. Index Terms. CAPT, Ville-N, Norwegian, dialects, multi-lingual contrastive analysis, L1-L2map
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