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- Kader, Manzur, et al.
(författare)
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Time elapsed from onset of symptoms to diagnosis of gonorrhoea in Swedish patients, 1999-2009
- 2014
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Ingår i: Asian Journal of Medical Sciences. - Stockholm : Karolinska Institutet, Dept of Global Public Health. - 2091-0576 .- 2467-9100.
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Tidskriftsartikel (refereegranskat)abstract
- Background: Gonococcal infection remains an important public health problem worldwide. The incidence of reported gonorrhoea cases in Sweden raised by 32%, from 5.9 to 7.8 cases per 100,000 in 2001 to 2008.The aim of this study is to estimate the lag time or time elapsed between onset of symptoms and diagnosis of gonorrhoea, and to identify the factors associated with diagnostic delay in a sample of reported gonorrhoea cases in Sweden. Methods: A retrospective cohort study was conducted using all reported gonorrhoea cases at the Swedish Institute for Communicable Disease Control (SMI) from the time period 1999-2009. Total number of cases included in final analysis was 2161. Descriptive statistics, ANOVA, independent t-test and multiple linear regression analysis were applied for data analysis. Results: The mean lag time between onset of symptoms and diagnosis of gonorrhoea was 12.3 ± 18.8 days. There was a significant association of lag time with sex, region, type of clinics and type of specimen and year of diagnosis. In multivariate analysis with adjusted model, type of specimen was found to have independent effect on lag time and there was a significant interaction observed between region and sex indicating difference between sexes was due to difference in regions. Conclusion: The result of our study revealed a significant delay in establishing a diagnosis in Gonorrhoea patient sample in Sweden. The variables influencing this delay in diagnosis should be addressed to shorten the lag time leading to an early diagnosis and a proper treatment in our patients. However, more research needs to be carried out in this area to better understand the factors at work.
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| 2. |
- Mahajan, Anubha, et al.
(författare)
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Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
- 2022
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Ingår i: Nature Genetics. - : Springer Nature. - 1061-4036 .- 1546-1718. ; 54:5, s. 560-572
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Tidskriftsartikel (refereegranskat)abstract
- We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 x 10(-9)), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4% of T2D associations to a single variant with >50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background. Genome-wide association and fine-mapping analyses in ancestrally diverse populations implicate candidate causal genes and mechanisms underlying type 2 diabetes. Trans-ancestry genetic risk scores enhance transferability across populations.
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