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Institution

Uganda Virus Research Institute

FacilityEntebbe, Uganda
About: Uganda Virus Research Institute is a facility organization based out in Entebbe, Uganda. It is known for research contribution in the topics: Population & Acquired immunodeficiency syndrome (AIDS). The organization has 569 authors who have published 957 publications receiving 47051 citations. The organization is also known as: Yellow Fever Research Institute & East African Virus Research institute.


Papers
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Journal ArticleDOI
Cristen J. Willer1, Ellen M. Schmidt1, Sebanti Sengupta1, Gina M. Peloso2  +316 moreInstitutions (87)
TL;DR: It is found that loci associated with blood lipid levels are often associated with cardiovascular and metabolic traits, including coronary artery disease, type 2 diabetes, blood pressure, waist-hip ratio and body mass index.
Abstract: Levels of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides and total cholesterol are heritable, modifiable risk factors for coronary artery disease. To identify new loci and refine known loci influencing these lipids, we examined 188,577 individuals using genome-wide and custom genotyping arrays. We identify and annotate 157 loci associated with lipid levels at P < 5 × 10(-8), including 62 loci not previously associated with lipid levels in humans. Using dense genotyping in individuals of European, East Asian, South Asian and African ancestry, we narrow association signals in 12 loci. We find that loci associated with blood lipid levels are often associated with cardiovascular and metabolic traits, including coronary artery disease, type 2 diabetes, blood pressure, waist-hip ratio and body mass index. Our results demonstrate the value of using genetic data from individuals of diverse ancestry and provide insights into the biological mechanisms regulating blood lipids to guide future genetic, biological and therapeutic research.

2,585 citations

Journal ArticleDOI
TL;DR: The rate of HIV transmission per coital act was highest during early-stage infection, which has implications for HIV prevention and for projecting the effects of antiretroviral treatment on HIV transmission.
Abstract: Background. We estimated rates of human immunodeficiency virus (HIV)‐1 transmission per coital act in HIV-discordant couples by stage of infection in the index partner. Methods. We retrospectively identified 235 monogamous, HIV-discordant couples in a Ugandan populationbased cohort. HIV transmission within pairs was confirmed by sequence analysis. Rates of transmission per coital act were estimated by the index partner’s stage of infection (recent seroconversion or prevalent or late-stage infection). The adjusted rate ratio of transmission per coital act was estimated by multivariate Poisson regression. Results. The average rate of HIV transmission was 0.0082/coital act (95% confidence interval [CI], 0.0039‐ 0.0150) within ∼2.5 months after seroconversion of the index partner; 0.0015/coital act within 6‐15 months after seroconversion of the index partner (95% CI, 0.0002‐0.0055); 0.0007/coital act (95% CI, 0.0005‐0.0010) among HIV-prevalent index partners; and 0.0028/coital act (95% CI, 0.0015‐0.0041) 6‐25 months before the death of the index partner. In adjusted models, early- and late-stage infection, higher HIV load, genital ulcer disease, and younger age of the index partner were significantly associated with higher rates of transmission. Conclusions. The rate of HIV transmission per coital act was highest during early-stage infection. This has implications for HIV prevention and for projecting the effects of antiretroviral treatment on HIV transmission. Model estimates suggest that the rate of heterosexual HIV-1 transmission per coital act follows a U-shaped curve, being highest during the postseroconversion period, lower during latency, and increasing with advancing disease [1‐4]. This is supported by findings that blood HIV load, which is higher during the postseroconversion period and during advanced disease, is the principal predictor of heterosexual transmission [5‐

1,310 citations

Journal ArticleDOI
Ron Do1, Cristen J. Willer2, Ellen M. Schmidt2, Sebanti Sengupta2  +263 moreInstitutions (83)
TL;DR: It is suggested that triglyceride-rich lipoproteins causally influence risk for CAD, and the strength of a polymorphism's effect on triglyceride levels is correlated with the magnitude of its effect on CAD risk.
Abstract: Triglycerides are transported in plasma by specific triglyceride-rich lipoproteins; in epidemiological studies, increased triglyceride levels correlate with higher risk for coronary artery disease (CAD). However, it is unclear whether this association reflects causal processes. We used 185 common variants recently mapped for plasma lipids (P < 5 × 10(-8) for each) to examine the role of triglycerides in risk for CAD. First, we highlight loci associated with both low-density lipoprotein cholesterol (LDL-C) and triglyceride levels, and we show that the direction and magnitude of the associations with both traits are factors in determining CAD risk. Second, we consider loci with only a strong association with triglycerides and show that these loci are also associated with CAD. Finally, in a model accounting for effects on LDL-C and/or high-density lipoprotein cholesterol (HDL-C) levels, the strength of a polymorphism's effect on triglyceride levels is correlated with the magnitude of its effect on CAD risk. These results suggest that triglyceride-rich lipoproteins causally influence risk for CAD.

817 citations

Journal ArticleDOI
TL;DR: In the Rakai population, a substantial proportion of HIV-1 acquisition appears to occur independently of treatable STD cofactors, and in pregnant women, the follow-up prevalences of trichomoniasis, bacterial vaginosis, gonorrhoea, and chlamydia infection were significantly lower in the intervention group than in the control group.

784 citations


Authors

Showing all 573 results

NameH-indexPapersCitations
Robert U. Newton10975342527
Ronald H. Gray9252934982
Maria J. Wawer7735727375
David Serwadda7638132265
Jim Todd7547220548
Nelson K. Sewankambo7435327573
Matthew Cotten6922518834
Andrew J. Nunn6625314635
Barnaby C Reeves6633327008
James A. G. Whitworth6424614903
Maria A Quigley5918212257
Heiner Grosskurth5924912319
Robert Newton571509493
Timothy D. Mastro551399095
Hazel M. Dockrell532689397
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20227
202162
202053
201951
201862