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Institution

University of Liverpool

EducationLiverpool, United Kingdom
About: University of Liverpool is a education organization based out in Liverpool, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 40406 authors who have published 94388 publications receiving 3188970 citations. The organization is also known as: Liverpool University & The University of Liverpool.


Papers
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Journal ArticleDOI
TL;DR: The 2020 EAU-EANM-ESTRO-ESUR-SIOG guidelines on PCa guidelines summarise the most recent findings and advice for their use in clinical practice and include a strong recommendation to consider moderate hypofractionation in intermediate-risk patients.

1,369 citations

Journal ArticleDOI
01 Feb 1980-Nature

1,368 citations

Journal ArticleDOI
K. Abe1, N. Abgrall2, Yasuo Ajima, Hiroaki Aihara1  +413 moreInstitutions (53)
TL;DR: The T2K experiment observes indications of ν (μ) → ν(e) appearance in data accumulated with 1.43×10(20) protons on target, and under this hypothesis, the probability to observe six or more candidate events is 7×10(-3), equivalent to 2.5σ significance.
Abstract: The T2K experiment observes indications of nu(mu) -> nu(mu) e appearance in data accumulated with 1.43 x 10(20) protons on target. Six events pass all selection criteria at the far detector. In a three-flavor neutrino oscillation scenario with |Delta m(23)(2)| = 2.4 x 10(-3) eV(2), sin(2)2 theta(23) = 1 and sin(2)2 theta(13) = 0, the expected number of such events is 1.5 +/- 0.3(syst). Under this hypothesis, the probability to observe six or more candidate events is 7 x 10(-3), equivalent to 2.5 sigma significance. At 90% C.L., the data are consistent with 0.03(0.04) < sin(2)2 theta(13) < 0.28(0.34) for delta(CP) = 0 and a normal (inverted) hierarchy.

1,361 citations

Journal ArticleDOI
22 Jun 2018-Science
TL;DR: It is demonstrated that, in the general population, the personality trait neuroticism is significantly correlated with almost every psychiatric disorder and migraine, and it is shown that both psychiatric and neurological disorders have robust correlations with cognitive and personality measures.
Abstract: Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified the genetic sharing of 25 brain disorders from genome-wide association studies of 265,218 patients and 784,643 control participants and assessed their relationship to 17 phenotypes from 1,191,588 individuals. Psychiatric disorders share common variant risk, whereas neurological disorders appear more distinct from one another and from the psychiatric disorders. We also identified significant sharing between disorders and a number of brain phenotypes, including cognitive measures. Further, we conducted simulations to explore how statistical power, diagnostic misclassification, and phenotypic heterogeneity affect genetic correlations. These results highlight the importance of common genetic variation as a risk factor for brain disorders and the value of heritability-based methods in understanding their etiology.

1,357 citations


Authors

Showing all 40921 results

NameH-indexPapersCitations
Lei Jiang1702244135205
Gregory Y.H. Lip1693159171742
Ian J. Deary1661795114161
Nicholas J. White1611352104539
Tomas Hökfelt158103395979
William J. Sutherland14896694423
Tommaso Dorigo1411806104276
Paul Jackson141137293464
Andrew Askew140149699635
Stephen Wimpenny1381489104084
Robin Erbacher1381721100252
Andrew Mehta1371444101810
Tim Jones135131491422
Christophe Delaere135132096742
Sinead Farrington133142291099
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023181
2022831
20215,824
20205,510
20194,735
20184,177