| 11. |
- Svensson, Joel, et al.
(författare)
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A Serosurvey of Tick-Borne Encephalitis Virus in Sweden: Different Populations and Geographical Locations
- 2021
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Ingår i: Vector-Borne and Zoonotic Diseases. - : Mary Ann Liebert Inc. - 1557-7759 .- 1530-3667. ; 21:8, s. 614-619
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Tidskriftsartikel (refereegranskat)abstract
- AbstractBackground: New risk areas for tick-borne encephalitis (TBE) are emerging and the spread of disease and vaccine coverage is unclear in Sweden. We wanted to study the prevalence and levels of TBE-virus (TBEV) antibodies in southern Sweden, and to investigate whether there were individuals with undiagnosed TBE.Materials and Methods: Two cohorts of sera were collected: One group of anonymous individuals in rural areas (AIRA) in Skåne and one group of volunteers who often got tick-bites (tick-bitten individuals [TBI]). An enzyme-linked immunosorbent assay for TBEV IgM and IgG was performed, as well as a TBEV neutralization test (NT) in selected individuals.Results: In the AIRA group, there was an IgG seropositivity of 5.3%. There were individuals with high antibody levels both in areas previously considered as risk areas (Bromölla and Knislinge), as well as in another area (Tyringe). In the TBI group, 45% of the individuals were vaccinated according to the questionnaires and IgG seropositivity was 28%. A lower seroprevalence and levels of antibodies were seen in the middle-aged group (50–69 years) compared with younger or elderly study participants. A positive NT revealed several individuals with suspected undiagnosed episodes of TBE.Conclusion: Subclinical or misdiagnosed cases have probably occurred in Skåne. Middle-aged individuals had lower levels of IgG, which could indicate either less tick exposure or a lower vaccine response. Less than half of the TBI were vaccinated, an indication that more information about the disease and vaccine might be needed. We conclude that the study motivates an increased awareness of TBEV in the region.
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| 12. |
- Zheng, Hou-Feng, et al.
(författare)
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Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture
- 2015
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Ingår i: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 526:7571, s. 112-
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Tidskriftsartikel (refereegranskat)abstract
- The extent to which low-frequency (minor allele frequency (MAF) between 1-5%) and rare (MAF <= 1%) variants contribute to complex traits and disease in the general population is mainly unknown. Bone mineral density (BMD) is highly heritable, a major predictor of osteoporotic fractures, and has been previously associated with common genetic variants(1-8), as well as rare, population specific, coding variants(9). Here we identify novel non-coding genetic variants with large effects on BMD (n(total) = 53,236) and fracture (n(total) = 508,253) in individuals of European ancestry from the general population. Associations for BMD were derived from whole-genome sequencing (n = 2,882 from UK10K (ref. 10); a population-based genome sequencing consortium), whole-exome sequencing (n = 3,549), deep imputation of genotyped samples using a combined UK10K/1000 Genomes reference panel (n = 26,534), and de novo replication genotyping (n = 20,271). We identified a low-frequency non-coding variant near a novel locus, EN1, with an effect size fourfold larger than the mean of previously reported common variants for lumbar spine BMD8 (rs11692564(T), MAF51.6%, replication effect size510.20 s.d., P-meta = 2 x 10(-14)), which was also associated with a decreased risk of fracture (odds ratio = 0.85; P = 2 x 10(-11); ncases = 98,742 and ncontrols = 409,511). Using an En1cre/flox mouse model, we observed that conditional loss of En1 results in low bone mass, probably as a consequence of high bone turnover. We also identified a novel low frequency non-coding variant with large effects on BMD near WNT16 (rs148771817(T), MAF = 1.2%, replication effect size +10.41 s.d., P-meta = 1 x 10(-11)). In general, there was an excess of association signals arising from deleterious coding and conserved non-coding variants. These findings provide evidence that low-frequency non-coding variants have large effects on BMD and fracture, thereby providing rationale for whole-genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.
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