Antimicrobial resistance (AMR), one of the major global threats to human security, has serious negative consequences for both health and economies. Excessive and inappropriate uses of antibiotics are the main drivers of the emergence of resistant bacterial strains. In Thailand, antibiotics have been used in citrus production since 2012 to treat citrus greening disease or Huanglongbing disease, despite no antibiotics being registered for use in mandarin. This raises concerns about irrational use of antibiotics, which can cause AMR.
Contributors:Sutherland, Colin J., Henrici, Ryan
Proteomics datasets, presented as a set of tables, produced as part of Dr Ryan Henrici's PhD project (completed 2018).
There are gaps in global understanding about how to design and implement interventions to improve sanitation. This formative research study provided insights for the subsequent redesign of a government-led national sanitation campaign targeting rural populations in Tanzania. The Behaviour Centred Design approach was used to investigate the determinants of toilet building, improvement and use. Varied, novel, and interactive research tools were employed in fifty-five households in two regions of rural Tanzania. Results were analysed to articulate a Theory of Change, which then informed intervention design.
Contributors:Barsosio, Hellen C., Gitonga, John N., Karanja, Henry Kibe, Nyamwaya, Doris K., Omuoyo, Donwilliams O., Kamau, Everlyn, Hamaluba, Mainga M., Nyiro, Joyce U., Kitsao, Barnes S., Nyaguara, Amek, Mwakio, Stella, Newton, Charles R., Sang, Rosemary, Wright, Daniel, Sanders, Eduard J., Seale, Anna C., Agoti, Charles N., Berkley, James A., Bejon, Philip, Warimwe, George M.
This dataset contains demographic information, anthropometric measures and results of lab assays for 11,061 live births at Kilifi County Hospital in coastal Kenya between January 2012 and October 2016. The variables in the dataset were used in the analysis presented in the related manuscript published at Wellcome Open Research
Data to support an article entitled "Libraries and the REF: How do librarians contribute to research excellence?". Content analysis of REF 2014 unit-level environment statements, looking at the extent to which libraries/librarians are mentioned in these submissions.
A list of Read codes and entity types used to identify events in the Clinical Practice Research Datalink that identify the antenatal appointments women in the Pregnancy Register had. These were used to quantify the frequency and timing of antenatal care, the exposure variable for the study.
A list of Read codes to identify pre-pregnancy diagnoses of: diabetes, cardiovascular diseases (including hypertension and pre-eclampsia), anxiety and depression, cancer, epilepsy, smoking status and alcohol consumption for women in the study cohort from the Clinical Practice Research Datalink.
Contributors:Gurdasani, Deepti, Carstensen, Tommy, Fatumo, Segun, Chen, Guanjie, Franklin, Chris S., Prado-Martinez, Javier, Bouman, Heleen, Abascal, Federico, Haber, Marc, Tachmazidou, Ioanna, Mathieson, Iain, Ekoru, Kenneth, DeGorter, Marianne K., Nsubuga, Rebecca N., Finan, Chris, Wheeler, Eleanor, Chen, Li, Cooper, David N., Schiffels, Stephen, Chen, Yuan, Ritchie, Graham R.S., Pollard, Martin O., Fortune, Mary D., Mentzer, Alex J., Garrison, Erik, Bergström, Anders, Hatzikotoulas, Konstantinos, Adeyemo, Adebowale, Doumatey, Ayo, Elding, Heather, Wain, Louise V., Ehret, George, Auer, Paul L., Kooperberg, Charles L., Reiner, Alexander P., Franceschini, Nora, Maher, Dermot P., Montgomery, Stephen B., Kadie, Carl, Widmer, Chris, Xue, Yali, Seeley, Janet, Asiki, Gershim, Kamali, Anatoli, Young, Elizabeth H., Pomilla, Cristina, Soranzo, Nicole, Zeggini, Eleftheria, Pirie, Fraser, Morris, Andrew P., Heckerman, David, Tyler-Smith, Chris, Motala, Ayesha, Rotimi, Charles, Kaleebu, Pontiano, Barroso, Ines, Sandhu, Manj S.
Genomic studies in African populations provide unique opportunities to understand disease etiology, human diversity, and population history. In the largest study of its kind, comprising genome-wide data from 6,400 individuals and whole-genome sequences from 1,978 individuals from rural Uganda, we find evidence of geographically correlated fine-scale population substructure. Historically, the ancestry of modern Ugandans was best represented by a mixture of ancient East African pastoralists. We demonstrate the value of the largest sequence panel from Africa to date as an imputation resource. Examining 34 cardiometabolic traits, we show systematic differences in trait heritability between European and African populations, probably reflecting the differential impact of genes and environment. In a multi-trait pan-African GWAS of up to 14,126 individuals, we identify novel loci associated with anthropometric, hematological, lipid, and glycemic traits. We find that several functionally important signals are driven by Africa-specific variants, highlighting the value of studying diverse populations across the region.