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274 results on '"Brilliant M"'

1. Hypothesis-independent pathway analysis implicates GABA and Acetyl-CoA metabolism in primary open-angle glaucoma and normal-pressure glaucoma

Author

Bailey, JNC, Yaspan, BL, Pasquale, LR, Hauser, MA, Kang, JH, Loomis, SJ, Brilliant, M, Budenz, DL, Christen, WG, Fingert, J, Gaasterland, D, Gaasterland, T, Kraft, P, Lee, RK, Lichter, PR, Liu, Y, McCarty, CA, Moroi, SE, Richards, JE, Realini, T, Schuman, JS, Scott, WK, Singh, K, Sit, AJ, Vollrath, D, Wollstein, G, Zack, DJ, Zhang, K, Pericak-Vance, MA, Allingham, RR, Weinreb, RN, Haines, JL, and Wiggs, JL

Subjects
Genetics & Heredity, Genetics, Complementary and Alternative Medicine, Paediatrics and Reproductive Medicine
Abstract

Primary open-angle glaucoma (POAG) is a leading cause of blindness worldwide. Using genome-wide association single-nucleotide polymorphism data from the Glaucoma Genes and Environment study and National Eye Institute Glaucoma Human Genetics Collaboration comprising 3,108 cases and 3,430 controls, we assessed biologic pathways as annotated in the KEGG database for association with risk of POAG. After correction for genic overlap among pathways, we found 4 pathways, butanoate metabolism (hsa00650), hematopoietic cell lineage (hsa04640), lysine degradation (hsa00310) and basal transcription factors (hsa03022) related to POAG with permuted p

Published
2014

2. Vascular tone pathway polymorphisms in relation to primary open-angle glaucoma

Author

Kang, JH, Loomis, SJ, Yaspan, BL, Bailey, JC, Weinreb, RN, Lee, RK, Lichter, PR, Budenz, DL, Liu, Y, Realini, T, Gaasterland, D, Gaasterland, T, Friedman, DS, McCarty, CA, Moroi, SE, Olson, L, Schuman, JS, Singh, K, Vollrath, D, Wollstein, G, Zack, DJ, Brilliant, M, Sit, AJ, Christen, WG, Fingert, J, Forman, JP, Buys, ES, Kraft, P, Zhang, K, Allingham, RR, Pericak-Vance, MA, Richards, JE, Hauser, MA, Haines, JL, Wiggs, JL, and Pasquale, LR

Subjects
Biomedical and Clinical Sciences, Ophthalmology and Optometry, Aging, Neurosciences, Genetics, Eye Disease and Disorders of Vision, Neurodegenerative, Clinical Research, Cardiovascular, AMP-Activated Protein Kinases, Aged, Case-Control Studies, Caveolin 1, Dynamin II, Dynamins, Endothelium, Vascular, Female, GTP-Binding Proteins, Genetic Predisposition to Disease, Genotype, Glaucoma, Open-Angle, Humans, Inositol 1, 4, 5-Trisphosphate Receptors, Intraocular Pressure, Male, Middle Aged, Muscle, Smooth, Vascular, Nitric Oxide Synthase Type III, Polymorphism, Single Nucleotide, Receptor, Endothelin B, Receptors, Endothelin, Signal Transduction, Clinical Sciences, Immunology, Opthalmology and Optometry, Ophthalmology & Optometry, Ophthalmology and optometry
Abstract

AimsVascular perfusion may be impaired in primary open-angle glaucoma (POAG); thus, we evaluated a panel of markers in vascular tone-regulating genes in relation to POAG.MethodsWe used Illumina 660W-Quad array genotype data and pooled P-values from 3108 POAG cases and 3430 controls from the combined National Eye Institute Glaucoma Human Genetics Collaboration consortium and Glaucoma Genes and Environment studies. Using information from previous literature and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, we compiled single-nucleotide polymorphisms (SNPs) in 186 vascular tone-regulating genes. We used the 'Pathway Analysis by Randomization Incorporating Structure' analysis software, which performed 1000 permutations to compare the overall pathway and selected genes with comparable randomly generated pathways and genes in their association with POAG.ResultsThe vascular tone pathway was not associated with POAG overall or POAG subtypes, defined by the type of visual field loss (early paracentral loss (n=224 cases) or only peripheral loss (n=993 cases)) (permuted P≥0.20). In gene-based analyses, eight were associated with POAG overall at permuted P

Published
2014

4. A framework to monitor and evaluate the vulnerability of smallholder livestock farmers: a case study of Limpopo & Mpumalanga Provinces

Author

Azwihangwisi E. Nesamvuni, Khathutshelo A. Tshikolomo, Gabriel R. Lekalakala, Brilliant M. Petja, and Johan Van Niekerk

Abstract

A study was carried out to assess the level of vulnerability of smallholder livestock farmers to provide appropriate support response to the changing climate. Central to the investigation was to develop a monitoring and evaluation framework with SMARTT indicators in the design, planning, implementation, assessment and evaluation of the vulnerability of smallholder livestock farmers. Fieldwork was conducted in both Limpopo and Mpumalanga provinces. Only Vhembe and Gert Sibanda District Municipalities were chosen based on the proximity and convenience of having Smallholder Livestock Farmers that were organized and within reach to the investigators. The sampling frame consisted of a database of village households owning livestock in Vhembe (4 municipalities) and Gert Sibande (7 municipalities) districts. Data was collected through a descriptive survey using structured questionnaires, observations, and interviews from individuals and focus groups. A structured questionnaire was developed where respondents were interviewed each being asked a standard set of questions posed in the same way each time. At least 469 small-holder farmers were interviewed using a semi-structured questionnaire to elicit responses on vulnerability. The questionnaire included among others demographic and economic household characteristics; livestock and crop production; access to extension services; credit access; hazards occurrence; adaptations strategies pursued; coping strategies; the level of resilience and other information as indicated in the methodology. This paper presents a theoretical and conceptual M&E framework while also positing that if such a framework is mainstreamed, it will enhance impact and outcomes. Informed by Lindoso (2011) the Framework for vulnerability assessment and adaptive response of smallholder livestock farmers, had three main attributes, namely: exposure, sensitivity, and adaptive capacity. Exposure as an attribute of vulnerability was the magnitude and frequency of the climate stimuli and was considered as an external property of socio-ecological systems. Indicators were developed under the thematic areas of aridity, drought, temperature, precipitation, wind and vegetation. Sensitivity was referred to as the degree to which a system is modified or affected by an internal or external disturbance or set of disturbances. The proposed thematic areas in which indicators were developed were involvement in smallholder livestock farming (%), access to water by both farmers (%) and livestock (%), distance to water sources by both SHF (%) and livestock (%), quantity & frequency of water – availability (%) and quantity (litres/ capita/ day), livestock water use efficiency (m3/annum), livestock production systems. Adaptive capacity was referred to as the ‘ability of socio-ecological systems to administer, accommodate, and recover from eventual environmental disturbances; it was assumed to be a function of wealth, technology, education, information, skills, and infrastructure, access to resources, and stability and management capabilities. He proposed thematic areas identified were demography of livestock farmers, product diversification, capacity building, access to electricity and financial support. Demographic factors had different influences on the capacity of smallholder livestock farmers to adapt to adverse effects of climate change and variability on the farming enterprises. An ideal SHAE should be one with a matric, have experience in the hands-on production of a particular commodity such as beef cattle, have received training in the commodity value chain and is not older than 60 years.

Published
2022

5. Small-holder farmers knowledge and information on the impact of climate variability & extremes on livestock production in Limpopo & Mpumalanga Provinces

Author

Azwihangwisi E. Nesamvuni, Khuthadzo Ndwambi, Khathutshelo A. Tshikolomo, Gabriel R. Lekalakala, Thomas Raphulu, Brilliant M. Petja, and Johan Van Niekerk

Abstract

A study was carried out to investigate the level of awareness, knowledge and information of small-holder farmers (SHLF) on the impact of climatic change (CC) and extremes on livestock production in Limpopo and Mpumalanga Provinces. At least 366 smallholder farmers were interviewed using a semi-structured questionnaire to elicit responses on vulnerability. Almost all the farmers (96 %) have heard about CC only a few farmers (4 %) did not know CC. The medium for the conveyance of CC information was the main radio (94.32%). Newspapers and television were also efficient mediums in the conveyance of this information, each with the outreach of 16.76 and 32.67%, respectively. Central to the impact of CC was the fact that (90%) of the farmers confirmed that there was a change in grass availability; which contributed to major livestock fatalities of which over half of the farmers (55.19%) attested as the cause. The study found that 86.67% of SHLF who attended awareness meetings indicated that the discussions prioritized adapting to CC. However, SHLF (80.77%) did not have an early warning system. This was coupled with a lack of contingency plans by (84.36%) the farmers to deal with the impact of the said drought on their farms. SHLF (19%) who had facilitated contingency plans indicated that improved aspects of the plan should incorporate the support of their provision feeds, drilling of boreholes, and erection of dams. Based on SHLF perceptions there is a need for strategic shifts from grazing to small scale feed-lots.

Published
2022

6. Flood Mapping in Mozambique Using Copernicus Sentinel-2 Satellite Data

Author

Yaw A. Twumasi, Edmund C. Merem, John B. Namwamba, Abena B. Asare-Ansah, Jacob B. Annan, Zhu H. Ning, Rechael N. D. Armah, Caroline Y. Apraku, Harriet B. Yeboah, Julia Atayi, Matilda Anokye, Diana B. Frimpong, Ronald Okwemba, Olipa S. Mwakimi, Judith Oppong, Brilliant M. Petja, Janeth Mjema, Priscilla M. Loh, Lucinda A. Kangwana, Valentine Jeruto, Leah Wangari Njeri, and Joyce McClendon-Peralta

Subjects
General Earth and Planetary Sciences, General Environmental Science
Published
2022

7. Knowledge and readiness of teachers in implementing augmentative and alternative communication

Author

Sipho Sibanda and Brilliant Mhlanga

Subjects
Augmentative and alternative communication, Complex communication needs, Implementation, AAC devices, Full-service schools, Policy, Education
Abstract

Abstract This qualitative study critically examines the knowledge and readiness of teachers in South African classrooms in utilising Augmentative and Alternative Communication (AAC) for learners facing communication challenges. The study addresses the concerns expressed by teachers regarding their lack of knowledge and skills in utilizing AAC, highlighting the crucial role of teacher readiness in successfully implementing this approach. The findings demonstrate that many teachers in South Africa feel ill-equipped to work with learners who rely on AAC due to limited resources and inadequate training. To ensure the effective use of AAC in classrooms and extend access to communication aids for all students, efforts are needed to enhance teacher training and support.This study also explores the challenges involved in implementing AAC exclusively within the school environment, emphasizing the importance of extending AAC usage to learners' homes for skill sharing and relevance in daily life. Additionally, the impact of staff turnover on AAC implementation in schools is examined, underscoring the necessity of addressing turnover rates and providing sufficient training to ensure successful integration of AAC. Overall, this study emphasizes the significance of incorporating AAC in the classroom and the need to equip teachers with the necessary resources and training to effectively support AAC learners both in the classroom and beyond. The research adopts a single-case study design, focusing on a Primary School in Johannesburg East, South Africa.

Published
2024
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11. Flood Mapping in Mozambique Using Copernicus Sentinel-2 Satellite Data

Author

Twumasi, Yaw A., primary, Merem, Edmund C., additional, Namwamba, John B., additional, Asare-Ansah, Abena B., additional, Annan, Jacob B., additional, Ning, Zhu H., additional, Armah, Rechael N. D., additional, Apraku, Caroline Y., additional, Yeboah, Harriet B., additional, Atayi, Julia, additional, Anokye, Matilda, additional, Frimpong, Diana B., additional, Okwemba, Ronald, additional, Mwakimi, Olipa S., additional, Oppong, Judith, additional, Petja, Brilliant M., additional, Mjema, Janeth, additional, Loh, Priscilla M., additional, Kangwana, Lucinda A., additional, Jeruto, Valentine, additional, Njeri, Leah Wangari, additional, and McClendon-Peralta, Joyce, additional

Published
2022
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13. A genome-wide association study identifies variants in KCNIP4 associated with ACE inhibitor-induced cough

Author

Mosley, J D, Shaffer, C M, Van Driest, S L, Weeke, P E, Wells, Q S, Karnes, J H, Edwards, Velez, Wei, W-Q, Teixeira, P L, Bastarache, L, Crawford, D C, Li, R, Manolio, T A, Bottinger, E P, McCarty, C A, Linneman, J G, Brilliant, M H, Pacheco, J A, Thompson, W, Chisholm, R L, Jarvik, G P, Crosslin, D R, Carrell, D S, Baldwin, E, Ralston, J, Larson, E B, Grafton, J, Scrol, A, Jouni, H, Kullo, I J, Tromp, G, Borthwick, K M, Kuivaniemi, H, Carey, D J, Ritchie, M D, Bradford, Y, Verma, S S, Chute, C G, Veluchamy, A, Siddiqui, M K, Palmer, C NA, Doney, A, MahmoudPour, S H, Maitland-van der Zee, A H, Morris, A D, Denny, J C, and Roden, D M

Published
2016
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15. Design and Anticipated Outcomes of the eMERGE-PGx Project: A Multicenter Pilot for Preemptive Pharmacogenomics in Electronic Health Record Systems

Author

Rasmussen-Torvik, L J, Stallings, S C, Gordon, A S, Almoguera, B, Basford, M A, Bielinski, S J, Brautbar, A, Brilliant, M H, Carrell, D S, Connolly, J J, Crosslin, D R, Doheny, K F, Gallego, C J, Gottesman, O, Kim, D S, Leppig, K A, Li, R, Lin, S, Manzi, S, Mejia, A R, Pacheco, J A, Pan, V, Pathak, J, Perry, C L, Peterson, J F, Prows, C A, Ralston, J, Rasmussen, L V, Ritchie, M D, Sadhasivam, S, Scott, S A, Smith, M, Vega, A, Vinks, A A, Volpi, S, Wolf, W A, Bottinger, E, Chisholm, R L, Chute, C G, Haines, J L, Harley, J B, Keating, B, Holm, I A, Kullo, I J, Jarvik, G P, Larson, E B, Manolio, T, McCarty, C A, Nickerson, D A, Scherer, S E, Williams, M S, Roden, D M, and Denny, J C

Published
2014
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16. Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (Nature Genetics, (2018), 50, 1, (26-41), 10.1038/s41588-017-0011-x)

Author

Turcot, V., Lu, Y., Highland, H. M., Schurmann, C., Justice, A. E., Fine, R. S., Bradfield, J. P., Esko, T., Giri, A., Graff, M., Guo, X., Hendricks, A. E., Karaderi, T., Lempradl, A., Locke, A. E., Mahajan, A., Marouli, E., Sivapalaratnam, S., Young, K. L., Alfred, T., Feitosa, M. F., Masca, N. G. D., Manning, A. K., Medina-Gomez, C., Mudgal, P., M. C. Y., Ng, Reiner, A. P., Vedantam, S., Willems, S. M., Winkler, T. W., Abecasis, G., Aben, K. K., Alam, D. S., Alharthi, S. E., Marchiori, Allison, Amouyel, P., Asselbergs, F. W., Auer, P. L., Balkau, B., Bang, L. E., Barroso, I., Bastarache, L., Benn, M., Bergmann, S., Bielak, L. F., Bluher, M., Boehnke, M., Boeing, H., Boerwinkle, E., Boger, C. A., Bork-Jensen, J., Bots, M. L., Bottinger, E. P., Bowden, D. W., Brandslund, I., Breen, G., Brilliant, M. H., Broer, L., Brumat, M., Burt, A. A., Butterworth, A. S., Campbell, P. T., Cappellani, S., Carey, D. J., Catamo, E., Caulfield, M. J., Chambers, J. C., Chasman, D. I., Chen, Y. -D. I., Chowdhury, R., Christensen, C., Chu, A. Y., Cocca, M., Collins, F. S., Cook, J. P., Corley, J., Galbany, J. C., Cox, A. J., Crosslin, D. S., Cuellar-Partida, G., D'Eustacchio, A., Danesh, J., Davies, G., Bakker, P. I. W., Groot, M. C. H., Mutsert, R., Deary, I. J., Dedoussis, G., Demerath, E. W., Heijer, M., Hollander, A. I., Ruijter, H. M., Dennis, J. G., Denny, J. C., Di Angelantonio, E., Drenos, F., Du, M., Dube, M. -P., Dunning, A. M., Easton, D. F., Edwards, T. L., Ellinghaus, D., Ellinor, P. T., Elliott, P., Evangelou, E., Farmaki, A. -E., Farooqi, I. S., Faul, J. D., Fauser, S., Feng, S., Ferrannini, E., Ferrieres, J., Florez, J. C., Ford, I., Fornage, M., Franco, O. H., Franke, A., Franks, P. W., Friedrich, N., Frikke-Schmidt, R., Galesloot, T. E., Gan, W., Gandin, I., Gasparini, P., Gibson, J., Giedraitis, V., Gjesing, A. P., Gordon-Larsen, P., Gorski, M., Grabe, H. -J., Grant, S. F. A., Grarup, N., Griffiths, H. L., Grove, M. L., Gudnason, V., Gustafsson, S., Haessler, J., Hakonarson, H., Hammerschlag, A. R., Hansen, T., Harris, K. M., Harris, T. B., Hattersley, A. T., Have, C. T., Hayward, C., He, L., Heard-Costa, N. L., Heath, A. C., Heid, I. M., Helgeland, O., Hernesniemi, J., Hewitt, A. W., Holmen, O. L., Hovingh, G. K., Howson, J. M. M., Hu, Y., Huang, P. L., Huffman, J. E., Ikram, M. A., Ingelsson, E., Jackson, A. U., Jansson, J. -H., Jarvik, G. P., Jensen, G. B., Jia, Y., Johansson, S., Jorgensen, M. E., Jorgensen, T., Jukema, J. W., Kahali, B., Kahn, R. S., Kahonen, M., Kamstrup, P. R., Kanoni, S., Kaprio, J., Karaleftheri, M., Kardia, S. L. R., Karpe, F., Kathiresan, S., Kee, F., Kiemeney, L. A., Kim, E., Kitajima, H., Komulainen, P., Kooner, J. S., Kooperberg, C., Korhonen, T., Kovacs, P., Kuivaniemi, H., Kutalik, Z., Kuulasmaa, K., Kuusisto, J., Laakso, M., Lakka, T. A., Lamparter, D., Lange, E. M., Lange, L. A., Langenberg, C., Larson, E. B., Lee, N. R., Lehtimaki, T., Lewis, C. E., Li, H., Li, J., Li-Gao, R., Lin, H., Lin, K. -H., Lin, L. -A., Lin, X., Lind, L., Lindstrom, J., Linneberg, A., Liu, C. -T., Liu, D. J., Liu, Y., K. S., Lo, Lophatananon, A., Lotery, A. J., Loukola, A., Luan, J., Lubitz, S. A., Lyytikainen, L. -P., Mannisto, S., Marenne, G., Mazul, A. L., Mccarthy, M. I., McKean-Cowdin, R., Medland, S. E., Meidtner, K., Milani, L., Mistry, V., Mitchell, P., Mohlke, K. L., Moilanen, L., Moitry, M., Montgomery, G. W., Mook-Kanamori, D. O., Moore, C., Mori, T. A., Morris, A. D., Morris, A. P., Muller-Nurasyid, M., Munroe, P. B., Nalls, M. A., Narisu, N., Nelson, C. P., Neville, M., Nielsen, S. F., Nikus, K., Njolstad, P. R., Nordestgaard, B. G., Nyholt, D. R., O'Connel, J. R., O'Donoghue, M. L., Loohuis, L. M. O., Ophoff, R. A., Owen, K. R., Packard, C. J., Padmanabhan, S., Palmer, C. N. A., Palmer, N. D., Pasterkamp, G., Patel, A. P., Pattie, A., Pedersen, O., Peissig, P. L., Peloso, G. M., Pennell, C. E., Perola, M., Perry, J. A., Perry, J. R. B., Pers, T. H., Person, T. N., Peters, A., Petersen, E. R. B., Peyser, P. A., Pirie, A., Polasek, O., Polderman, T. J., Puolijoki, H., Raitakari, O. T., Rasheed, A., Rauramaa, R., Reilly, D. F., Renstrom, F., Rheinberger, M., Ridker, P. M., Rioux, J. D., Rivas, M. A., Roberts, D. J., Robertson, N. R., Robino, A., Rolandsson, O., Rudan, I., Ruth, K. S., Saleheen, D., Salomaa, V., Samani, N. J., Sapkota, Y., Sattar, N., Schoen, R. E., Schreiner, P. J., Schulze, M. B., Scott, R. A., Segura-Lepe, M. P., Shah, S. H., Sheu, W. H. -H., Sim, X., Slater, A. J., Small, K. S., Smith, A. V., Southam, L., Spector, T. D., Speliotes, E. K., Starr, J. M., Stefansson, K., Steinthorsdottir, V., Stirrups, K. E., Strauch, K., Stringham, H. M., Stumvoll, M., Sun, L., Surendran, P., Swift, A. J., Tada, H., Tansey, K. E., Tardif, J. -C., Taylor, K. D., Teumer, A., Thompson, D. J., Thorleifsson, G., Thorsteinsdottir, U., Thuesen, B. H., Tonjes, A., Tromp, G., Trompet, S., Tsafantakis, E., Tuomilehto, J., Tybjaerg-Hansen, A., Tyrer, J. P., Uher, R., Uitterlinden, A. G., Uusitupa, M., Laan, S. W., Duijn, C. M., Leeuwen, N., van Setten, J., Vanhala, M., Varbo, A., Varga, T. V., Varma, R., Edwards, D. R. V., Vermeulen, S. H., Veronesi, G., Vestergaard, H., Vitart, V., Vogt, T. F., Volker, U., Vuckovic, D., Wagenknecht, L. E., Walker, M., Wallentin, L., Wang, F., Wang, C. A., Wang, S., Wang, Y., Ware, E. B., Wareham, N. J., Warren, H. R., Waterworth, D. M., Wessel, J., White, H. D., Willer, C. J., Wilson, J. G., Witte, D. R., Wood, A. R., Wu, Y., Yaghootkar, H., Yao, J., Yao, P., Yerges-Armstrong, L. M., Young, R., Zeggini, E., Zhan, X., Zhang, W., Zhao, J. H., Zhao, W., Zhou, W., Zondervan, K. T., Rotter, J. I., Pospisilik, J. A., Rivadeneira, F., Borecki, I. B., Deloukas, P., Frayling, T. M., Lettre, G., North, K. E., Lindgren, C. M., Hirschhorn, J. N., Loos, R. J. F., Turcot, V., Lu, Y., Highland, H. M., Schurmann, C., Justice, A. E., Fine, R. S., Bradfield, J. P., Esko, T., Giri, A., Graff, M., Guo, X., Hendricks, A. E., Karaderi, T., Lempradl, A., Locke, A. E., Mahajan, A., Marouli, E., Sivapalaratnam, S., Young, K. L., Alfred, T., Feitosa, M. F., Masca, N. G. D., Manning, A. K., Medina-Gomez, C., Mudgal, P., Ng, M. C. Y., Reiner, A. P., Vedantam, S., Willems, S. M., Winkler, T. W., Abecasis, G., Aben, K. K., Alam, D. S., Alharthi, S. E., Marchiori, Allison, Amouyel, P., Asselbergs, F. W., Auer, P. L., Balkau, B., Bang, L. E., Barroso, I., Bastarache, L., Benn, M., Bergmann, S., Bielak, L. F., Bluher, M., Boehnke, M., Boeing, H., Boerwinkle, E., Boger, C. A., Bork-Jensen, J., Bots, M. L., Bottinger, E. P., Bowden, D. W., Brandslund, I., Breen, G., Brilliant, M. H., Broer, L., Brumat, M., Burt, A. A., Butterworth, A. S., Campbell, P. T., Cappellani, S., Carey, D. J., Catamo, E., Caulfield, M. J., Chambers, J. C., Chasman, D. I., Chen, Y. -D. I., Chowdhury, R., Christensen, C., Chu, A. Y., Cocca, M., Collins, F. S., Cook, J. P., Corley, J., Galbany, J. C., Cox, A. J., Crosslin, D. S., Cuellar-Partida, G., D'Eustacchio, A., Danesh, J., Davies, G., Bakker, P. I. W., Groot, M. C. H., Mutsert, R., Deary, I. J., Dedoussis, G., Demerath, E. W., Heijer, M., Hollander, A. I., Ruijter, H. M., Dennis, J. G., Denny, J. C., Di Angelantonio, E., Drenos, F., Du, M., Dube, M. -P., Dunning, A. M., Easton, D. F., Edwards, T. L., Ellinghaus, D., Ellinor, P. T., Elliott, P., Evangelou, E., Farmaki, A. -E., Farooqi, I. S., Faul, J. D., Fauser, S., Feng, S., Ferrannini, E., Ferrieres, J., Florez, J. C., Ford, I., Fornage, M., Franco, O. H., Franke, A., Franks, P. W., Friedrich, N., Frikke-Schmidt, R., Galesloot, T. E., Gan, W., Gandin, I., Gasparini, P., Gibson, J., Giedraitis, V., Gjesing, A. P., Gordon-Larsen, P., Gorski, M., Grabe, H. -J., Grant, S. F. A., Grarup, N., Griffiths, H. L., Grove, M. L., Gudnason, V., Gustafsson, S., Haessler, J., Hakonarson, H., Hammerschlag, A. R., Hansen, T., Harris, K. M., Harris, T. B., Hattersley, A. T., Have, C. T., Hayward, C., He, L., Heard-Costa, N. L., Heath, A. C., Heid, I. M., Helgeland, O., Hernesniemi, J., Hewitt, A. W., Holmen, O. L., Hovingh, G. K., Howson, J. M. M., Hu, Y., Huang, P. L., Huffman, J. E., Ikram, M. A., Ingelsson, E., Jackson, A. U., Jansson, J. -H., Jarvik, G. P., Jensen, G. B., Jia, Y., Johansson, S., Jorgensen, M. E., Jorgensen, T., Jukema, J. W., Kahali, B., Kahn, R. S., Kahonen, M., Kamstrup, P. R., Kanoni, S., Kaprio, J., Karaleftheri, M., Kardia, S. L. R., Karpe, F., Kathiresan, S., Kee, F., Kiemeney, L. A., Kim, E., Kitajima, H., Komulainen, P., Kooner, J. S., Kooperberg, C., Korhonen, T., Kovacs, P., Kuivaniemi, H., Kutalik, Z., Kuulasmaa, K., Kuusisto, J., Laakso, M., Lakka, T. A., Lamparter, D., Lange, E. M., Lange, L. A., Langenberg, C., Larson, E. B., Lee, N. R., Lehtimaki, T., Lewis, C. E., Li, H., Li, J., Li-Gao, R., Lin, H., Lin, K. -H., Lin, L. -A., Lin, X., Lind, L., Lindstrom, J., Linneberg, A., Liu, C. -T., Liu, D. J., Liu, Y., Lo, K. S., Lophatananon, A., Lotery, A. J., Loukola, A., Luan, J., Lubitz, S. A., Lyytikainen, L. -P., Mannisto, S., Marenne, G., Mazul, A. L., Mccarthy, M. I., McKean-Cowdin, R., Medland, S. E., Meidtner, K., Milani, L., Mistry, V., Mitchell, P., Mohlke, K. L., Moilanen, L., Moitry, M., Montgomery, G. W., Mook-Kanamori, D. O., Moore, C., Mori, T. A., Morris, A. D., Morris, A. P., Muller-Nurasyid, M., Munroe, P. B., Nalls, M. A., Narisu, N., Nelson, C. P., Neville, M., Nielsen, S. F., Nikus, K., Njolstad, P. R., Nordestgaard, B. G., Nyholt, D. R., O'Connel, J. R., O'Donoghue, M. L., Loohuis, L. M. O., Ophoff, R. A., Owen, K. R., Packard, C. J., Padmanabhan, S., Palmer, C. N. A., Palmer, N. D., Pasterkamp, G., Patel, A. P., Pattie, A., Pedersen, O., Peissig, P. L., Peloso, G. M., Pennell, C. E., Perola, M., Perry, J. A., Perry, J. R. B., Pers, T. H., Person, T. N., Peters, A., Petersen, E. R. B., Peyser, P. A., Pirie, A., Polasek, O., Polderman, T. J., Puolijoki, H., Raitakari, O. T., Rasheed, A., Rauramaa, R., Reilly, D. F., Renstrom, F., Rheinberger, M., Ridker, P. M., Rioux, J. D., Rivas, M. A., Roberts, D. J., Robertson, N. R., Robino, A., Rolandsson, O., Rudan, I., Ruth, K. S., Saleheen, D., Salomaa, V., Samani, N. J., Sapkota, Y., Sattar, N., Schoen, R. E., Schreiner, P. J., Schulze, M. B., Scott, R. A., Segura-Lepe, M. P., Shah, S. H., Sheu, W. H. -H., Sim, X., Slater, A. J., Small, K. S., Smith, A. V., Southam, L., Spector, T. D., Speliotes, E. K., Starr, J. M., Stefansson, K., Steinthorsdottir, V., Stirrups, K. E., Strauch, K., Stringham, H. M., Stumvoll, M., Sun, L., Surendran, P., Swift, A. J., Tada, H., Tansey, K. E., Tardif, J. -C., Taylor, K. D., Teumer, A., Thompson, D. J., Thorleifsson, G., Thorsteinsdottir, U., Thuesen, B. H., Tonjes, A., Tromp, G., Trompet, S., Tsafantakis, E., Tuomilehto, J., Tybjaerg-Hansen, A., Tyrer, J. P., Uher, R., Uitterlinden, A. G., Uusitupa, M., Laan, S. W., Duijn, C. M., Leeuwen, N., van Setten, J., Vanhala, M., Varbo, A., Varga, T. V., Varma, R., Edwards, D. R. V., Vermeulen, S. H., Veronesi, G., Vestergaard, H., Vitart, V., Vogt, T. F., Volker, U., Vuckovic, D., Wagenknecht, L. E., Walker, M., Wallentin, L., Wang, F., Wang, C. A., Wang, S., Wang, Y., Ware, E. B., Wareham, N. J., Warren, H. R., Waterworth, D. M., Wessel, J., White, H. D., Willer, C. J., Wilson, J. G., Witte, D. R., Wood, A. R., Wu, Y., Yaghootkar, H., Yao, J., Yao, P., Yerges-Armstrong, L. M., Young, R., Zeggini, E., Zhan, X., Zhang, W., Zhao, J. H., Zhao, W., Zhou, W., Zondervan, K. T., Rotter, J. I., Pospisilik, J. A., Rivadeneira, F., Borecki, I. B., Deloukas, P., Frayling, T. M., Lettre, G., North, K. E., Lindgren, C. M., Hirschhorn, J. N., and Loos, R. J. F.

Subjects
Publisher correction
Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2019

17. Estimation of Land Surface Temperature from Landsat-8 OLI Thermal Infrared Satellite Data. A Comparative Analysis of Two Cities in Ghana

Author

Twumasi, Yaw A., primary, Merem, Edmund C., additional, Namwamba, John B., additional, Mwakimi, Olipa S., additional, Ayala-Silva, Tomas, additional, Frimpong, Diana B., additional, Ning, Zhu H., additional, Asare-Ansah, Abena B., additional, Annan, Jacob B., additional, Oppong, Judith, additional, Loh, Priscilla M., additional, Owusu, Faustina, additional, Jeruto, Valentine, additional, Petja, Brilliant M., additional, Okwemba, Ronald, additional, McClendon-Peralta, Joyce, additional, Akinrinwoye, Caroline O., additional, and Mosby, Hermeshia J., additional

Published
2021
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18. Time Series Analysis on Selected Rainfall Stations Data in Louisiana Using ARIMA Approach

Author

Twumasi, Yaw A., primary, Annan, Jacob B., additional, Merem, Edmund C., additional, Namwamba, John B., additional, Ayala-Silva, Tomas, additional, Ning, Zhu H., additional, Asare-Ansah, Abena B., additional, Oppong, Judith, additional, Frimpong, Diana B., additional, Loh, Priscilla M., additional, Owusu, Faustina, additional, Kangwana, Lucinda A., additional, Mwakimi, Olipa S., additional, Petja, Brilliant M., additional, Okwemba, Ronald, additional, Akinrinwoye, Caroline O., additional, Mosby, Hermeshia J., additional, and McClendon-Peralta, Joyce, additional

Published
2021
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23. Genomic locus modulating corneal thickness in the mouse identifies POU6F2 as a potential risk of developing glaucoma

Author

King, R. (Richard), Struebing, F.L., Li, Y. (Yuwen), Wang, J., Koch, A.A., Bailey, JNC, Gharahkhani, P, Macgregor, S., Allingham, R.R. (R Rand), Hauser, M.A. (Michael), Wiggs, J.L. (Janey), Geisert, E.E., Allingham, R., Brilliant, M., Budenz, D., Bailey, J.C., Fingert, J., Gaasterland, D., Gaasterland, T., Haines, J.L. (Jonathan), Hark, L., Hauser, M., Igo, R., Kang, J.H. (Jae), Kraft, P. (Peter), Lee, R. (R.) van der, Lichter, P. (Peter), Liu, Y. (Yu), Moroi, S., Pasquale, L.R. (Louis), Pericak-Vance, M.A. (Margaret), Realini, A., Rhee, D., Richards, J. (John), Ritch, R., Schuman, J., Scott, W.K. (William), Singh, K, Sit, A., Vollrath, D., Weinreb, RN, Wollstein, G., Zack, D., Aung, T. (Tin), Burdon, K.P. (Kathryn), Cheng, C-Y. (Ching-Yu), Bailey, J.N.C., Craig, J.E. (Jamie), Cree, A.J. (Angela), Hammond, C.J. (Christopher), Hewit, A.W. (Alex), Höhn, R., Hysi, P.G. (Pirro), Gonzalez, A.I., Jonas, J., Khawaja, A, Khor, C.C., Klaver, C.C.W. (Caroline), Pasutto, F. (Francesca), Mackey, D., Mitchell, P. (Paul), Mishra, A. (Aniket), Pang, C., Springelkamp, H. (Henriët), Thorleifsson, G. (Gudmar), Thorsteinsdottir, U. (Unnur), Duijn, C.M., Viswanathan, A. (Anand), Vitart, V. (Veronique), Wojciechowski, R. (Robert), Wong, T., Young, T.L. (Terri), Zeller, T. (Tanja), King, R. (Richard), Struebing, F.L., Li, Y. (Yuwen), Wang, J., Koch, A.A., Bailey, JNC, Gharahkhani, P, Macgregor, S., Allingham, R.R. (R Rand), Hauser, M.A. (Michael), Wiggs, J.L. (Janey), Geisert, E.E., Allingham, R., Brilliant, M., Budenz, D., Bailey, J.C., Fingert, J., Gaasterland, D., Gaasterland, T., Haines, J.L. (Jonathan), Hark, L., Hauser, M., Igo, R., Kang, J.H. (Jae), Kraft, P. (Peter), Lee, R. (R.) van der, Lichter, P. (Peter), Liu, Y. (Yu), Moroi, S., Pasquale, L.R. (Louis), Pericak-Vance, M.A. (Margaret), Realini, A., Rhee, D., Richards, J. (John), Ritch, R., Schuman, J., Scott, W.K. (William), Singh, K, Sit, A., Vollrath, D., Weinreb, RN, Wollstein, G., Zack, D., Aung, T. (Tin), Burdon, K.P. (Kathryn), Cheng, C-Y. (Ching-Yu), Bailey, J.N.C., Craig, J.E. (Jamie), Cree, A.J. (Angela), Hammond, C.J. (Christopher), Hewit, A.W. (Alex), Höhn, R., Hysi, P.G. (Pirro), Gonzalez, A.I., Jonas, J., Khawaja, A, Khor, C.C., Klaver, C.C.W. (Caroline), Pasutto, F. (Francesca), Mackey, D., Mitchell, P. (Paul), Mishra, A. (Aniket), Pang, C., Springelkamp, H. (Henriët), Thorleifsson, G. (Gudmar), Thorsteinsdottir, U. (Unnur), Duijn, C.M., Viswanathan, A. (Anand), Vitart, V. (Veronique), Wojciechowski, R. (Robert), Wong, T., Young, T.L. (Terri), and Zeller, T. (Tanja)

Abstract

Central corneal thickness (CCT) is one of the most heritable ocular traits and it is also a phenotypic risk factor for primary open angle glaucoma (POAG). The present study uses the BXD Recombinant Inbred (RI) strains to identify novel quantitative trait loci (QTLs) modulating CCT in the mouse with the potential of identifying a molecular link between CCT and risk of developing POAG. The BXD RI strain set was used to define mammalian genomic loci modulating CCT, with a total of 818 corneas measured from 61 BXD RI strains (between 60–100 days of age). The mice were anesthetized and the eyes were positioned in front of the lens of the Phoenix Micron IV Image-Guided OCT system or the Bioptigen OCT system. CCT data for each strain was averaged and used to QTLs modulating this phenotype using the bioinformatics tools on GeneNetwork (www.genenetwork.org). The candidate genes and genomic loci identified in the mouse were then directly compared with the summary data from a human POAG genome wide association study (NEIGHBORHOOD) to determine if any genomic elements modulating mouse CCT are also risk factors for POAG.This analysis revealed one significant QTL on Chr 13 and a suggestive QTL on Chr 7. The significant locus on Chr 13 (13 to 19 Mb) was examined further to define candidate genes modulating this eye phenotype. For the Chr 13 QTL in the mouse, only one gene in the region (Pou6f2) contained nonsynonymous SNPs. Of these five nonsynonymous SNPs in Pou6f2, two resulted in changes in the amino acid proline which could result in altered secondary structure affecting protein function. The 7 Mb region under the mouse Chr 13 peak distributes over 2 chromosomes in the human: Chr 1 and Chr 7. These genomic loci were examined in the NEIGHBORHOOD database to determine if they are potential risk factors for human glaucoma identified using meta-data from human GWAS. The top 50 hits all resided within one gene (POU6F2), with the highest significance level of p = 10−6 for SNP rs7631

Published
2018
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24. PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study

Author

Schmidt, AF, Swerdlow, DI, Holmes, MV, Patel, RS, Fairhurst-Hunter, Z, Lyall, DM, Hartwig, FP, Horta, BL, Hypponen, E, Power, C, Moldovan, M, van Iperen, E, Hovingh, GK, Demuth, I, Norman, K, Steinhagen-Thiessen, E, Demuth, J, Bertram, L, Liu, T, Coassin, S, Willeit, J, Kiechl, S, Willeit, K, Mason, D, Wright, J, Morris, R, Wanamethee, G, Whincup, P, Ben-Shlomo, Y, McLachlan, S, Price, JF, Kivimaki, M, Welch, C, Sanchez-Galvez, A, Marques-Vidal, P, Nicolaides, A, Panayiotou, AG, Onland-Moret, NC, van der Schouw, YT, Matullo, G, Fiorito, G, Guarrera, S, Sacerdote, C, Wareham, NJ, Langenberg, C, Scott, R, Luan, JA, Bobak, M, Malyutina, SA, Pajak, A, Kubinova, R, Tamosiunas, A, Pikhart, H, Husemoen, LLN, Grarup, N, Pedersen, O, Hansen, T, Linneberg, A, Simonsen, KS, Cooper, J, Humphries, SE, Brilliant, M, Kitchner, T, Hakonarson, H, Carrell, DS, McCarty, CA, Kirchner, HL, Larson, EB, Crosslin, DR, de Andrade, M, Roden, DM, Denny, JC, Carty, C, Hancock, S, Attia, J, Holliday, E, Donnell, MO, Yusuf, S, Chong, M, Pare, G, van der Harst, P, Said, MA, Eppinga, RN, Verweij, N, Snieder, H, Christen, T, Mook-Kanamori, DO, Gustafsson, S, Lind, L, Ingelsson, E, Pazoki, Raha, Franco Duran, OH, Hofman, Bert, Uitterlinden, André, Dehghan, Abbas, Teumer, A, Baumeister, S, Dorr, M, Lerch, MM, Volker, U, Volzke, H, Ward, J, Pell, JP, Smith, Derek, Meade, T, Zee, AH, Baranova, EV, Young, R, Ford, I, Campbell, A (Archie), Padmanabhan, S, Bots, ML, Grobbee, DE, Froguel, P, Thuillier, D, Balkau, B, Bonnefond, A, Cariou, B, Smart, M, Bao, Y, Kumari, M, Mahajan, A, Ridker, PM, Chasman, DI, Reiner, AP, Lange, LA, Ritchie, MD, Asselbergs, FW, Casas, JP, Keating, BJ, Preiss, D, Hingorani, AD, Sattar, N, Schmidt, AF, Swerdlow, DI, Holmes, MV, Patel, RS, Fairhurst-Hunter, Z, Lyall, DM, Hartwig, FP, Horta, BL, Hypponen, E, Power, C, Moldovan, M, van Iperen, E, Hovingh, GK, Demuth, I, Norman, K, Steinhagen-Thiessen, E, Demuth, J, Bertram, L, Liu, T, Coassin, S, Willeit, J, Kiechl, S, Willeit, K, Mason, D, Wright, J, Morris, R, Wanamethee, G, Whincup, P, Ben-Shlomo, Y, McLachlan, S, Price, JF, Kivimaki, M, Welch, C, Sanchez-Galvez, A, Marques-Vidal, P, Nicolaides, A, Panayiotou, AG, Onland-Moret, NC, van der Schouw, YT, Matullo, G, Fiorito, G, Guarrera, S, Sacerdote, C, Wareham, NJ, Langenberg, C, Scott, R, Luan, JA, Bobak, M, Malyutina, SA, Pajak, A, Kubinova, R, Tamosiunas, A, Pikhart, H, Husemoen, LLN, Grarup, N, Pedersen, O, Hansen, T, Linneberg, A, Simonsen, KS, Cooper, J, Humphries, SE, Brilliant, M, Kitchner, T, Hakonarson, H, Carrell, DS, McCarty, CA, Kirchner, HL, Larson, EB, Crosslin, DR, de Andrade, M, Roden, DM, Denny, JC, Carty, C, Hancock, S, Attia, J, Holliday, E, Donnell, MO, Yusuf, S, Chong, M, Pare, G, van der Harst, P, Said, MA, Eppinga, RN, Verweij, N, Snieder, H, Christen, T, Mook-Kanamori, DO, Gustafsson, S, Lind, L, Ingelsson, E, Pazoki, Raha, Franco Duran, OH, Hofman, Bert, Uitterlinden, André, Dehghan, Abbas, Teumer, A, Baumeister, S, Dorr, M, Lerch, MM, Volker, U, Volzke, H, Ward, J, Pell, JP, Smith, Derek, Meade, T, Zee, AH, Baranova, EV, Young, R, Ford, I, Campbell, A (Archie), Padmanabhan, S, Bots, ML, Grobbee, DE, Froguel, P, Thuillier, D, Balkau, B, Bonnefond, A, Cariou, B, Smart, M, Bao, Y, Kumari, M, Mahajan, A, Ridker, PM, Chasman, DI, Reiner, AP, Lange, LA, Ritchie, MD, Asselbergs, FW, Casas, JP, Keating, BJ, Preiss, D, Hingorani, AD, and Sattar, N

Published
2017

25. Genome-wide association analysis identifies TXNRD2, ATXN2 and FOXC1 as susceptibility loci for primary open-angle glaucoma

Author

Bailey, JNC, Loomis, SJ, Kang, JH, Allingham, RR, Gharahkhani, P, Khor, CC, Burdon, KP, Aschard, H, Chasman, DI, Igo, RP, Hysi, PG, Glastonbury, CA, Ashley-Koch, A, Brilliant, M, Brown, AA, Budenz, DL, Buil, A, Cheng, CY, Choi, H, Christen, WG, Curhan, G, De Vivo, I, Fingert, JH, Foster, PJ, Fuchs, C, Gaasterland, D, Gaasterland, T, Hewitt, AW, Hu, F, Hunter, DJ, Khawaja, AP, Lee, RK, Li, Z, Lichter, PR, Mackey, DA, McGuffin, P, Mitchell, P, Moroi, SE, Perera, SA, Pepper, KW, Qi, Q, Realini, T, Richards, JE, Ridker, PM, Rimm, E, Ritch, R, Ritchie, M, Schuman, JS, Scott, WK, Singh, K, Sit, AJ, Song, YE, Tamimi, RM, Topouzis, F, Viswanathan, AC, Verma, SS, Vollrath, D, Wang, JJ, Weisschuh, N, Wissinger, B, Wollstein, G, Wong, TY, Yaspan, BL, Zack, DJ, Zhang, K, Weinreb, RN, Pericak-Vance, MA, Small, K, Hammond, CJ, Aung, T, Liu, Y, Vithana, EN, MacGregor, S, Craig, JE, Kraft, P, Howell, G, Hauser, MA, and Pasquale, LR

Subjects
ANZRAG Consortium
Abstract

© 2016 Nature America, Inc. Primary open-angle glaucoma (POAG) is a leading cause of blindness worldwide. To identify new susceptibility loci, we performed meta-analysis on genome-wide association study (GWAS) results from eight independent studies from the United States (3,853 cases and 33,480 controls) and investigated the most significantly associated SNPs in two Australian studies (1,252 cases and 2,592 controls), three European studies (875 cases and 4,107 controls) and a Singaporean Chinese study (1,037 cases and 2,543 controls). A meta-analysis of the top SNPs identified three new associated loci: rs35934224[T] in TXNRD2 (odds ratio (OR) = 0.78, P = 4.05 × 10 -11) encoding a mitochondrial protein required for redox homeostasis; rs7137828[T] in ATXN2 (OR = 1.17, P = 8.73 × 10 -10); and rs2745572[A] upstream of FOXC1 (OR = 1.17, P = 1.76 × 10 -10). Using RT-PCR and immunohistochemistry, we show TXNRD2 and ATXN2 expression in retinal ganglion cells and the optic nerve head. These results identify new pathways underlying POAG susceptibility and suggest new targets for preventative therapies.

Published
2016

26. PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study

Author

Schmidt, A.F., Swerdlow, D.I., Holmes, M.V., Patel, R.S., Fairhurst-Hunter, Z., Lyall, D.M., Hartwig, F.P., Horta, B.L., Hypponen, E., Power, C., Moldovan, M., Iperen, E. van, Hovingh, G.K., Demuth, I., Norman, K., Steinhagen-Thiessen, E., Demuth, J., Bertram, L., Liu, T., Coassin, S., Willeit, J., Kiechl, S., Willeit, K., Mason, D., Wright, J., Morris, R., Wanamethee, G., Whincup, P., Ben-Shlomo, Y., McLachlan, S., Price, J.F., Kivimaki, M., Welch, C., Sanchez-Galvez, A., Marques-Vidal, P., Nicolaides, A., Panayiotou, A.G., Onland-Moret, N.C., Schouw, Y.T. van der, Matullo, G., Fiorito, G., Guarrera, S., Sacerdote, C., Wareham, N.J., Langenberg, C., Scott, R., Luan, J.A., Bobak, M., Malyutina, S.A., Pajak, A., Kubinova, R., Tamosiunas, A., Pikhart, H., Husemoen, L.L.N., Grarup, N., Pedersen, O., Hansen, T., Linneberg, A., Simonsen, K.S., Cooper, J., Humphries, S.E., Brilliant, M., Kitchner, T., Hakonarson, H., Carrell, D.S., McCarty, C.A., Kirchner, H.L., Larson, E.B., Crosslin, D.R., Andrade, M. de, Roden, D.M., Denny, J.C., Carty, C., Hancock, S., Attia, J., Holliday, E., Donnell, M.O., Yusuf, S., Chong, M., Pare, G., Harst, P. van der, Said, M.A., Eppinga, R.N., Verweij, N., Snieder, H., Christen, T., Mook-Kanamori, D.O., Gustafsson, S., Lind, L., Ingelsson, E., Pazoki, R., Franco, O., Hofman, A., Uitterlinden, A., Dehghan, A., Teumer, A., Baumeister, S., Dorr, M., Lerch, M.M., Volker, U., Volzke, H., Ward, J., Pell, J.P., Smith, D.J., Meade, T., Maitland-van der Zee, A.H., Baranova, E.V., Young, R., Ford, I., Campbell, A., Padmanabhan, S., Bots, M.L., Grobbee, D.E., Froguel, P., Thuillier, D., Balkau, B., Bonnefond, A., Cariou, B., Smart, M., Bao, Y., Kumari, M., Mahajan, A., Ridker, P.M., Chasman, D.I., Reiner, A.P., Lange, L.A., Ritchie, M.D., Asselbergs, F.W., Casas, J.P., Keating, B.J., Preiss, D., Hingorani, A.D., Sattar, N., LifeLines Cohort Study Grp, UCLEB Consortium, Centre for Paediatric Epidemiology and Biostatistics, University College of London [London] (UCL), MRC Centre for Epidemiology of Child Health, UCL Institute of Child Health, Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Dept. of Gastroenterology, Hepatology and Endocrinology, Neuroepidemiology of Ageing Research Unit, Imperial College London, Institut des Sciences Moléculaires (ISM), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure de Chimie et de Physique de Bordeaux (ENSCPB)-Université Sciences et Technologies - Bordeaux 1-Université Montesquieu - Bordeaux 4-Institut de Chimie du CNRS (INC), Division of Community Health Sciences, St George's University of London, Department of Social Medicine, University of Bristol [Bristol], Finnish Institute of Occupational Health of Helsinki, Department of Epidemiology and Public Health, Institute of Social and Preventive Medicine, Lausanne university hospital, Computer Science Department, University of Cyprus, Cyprus Institute of Neurology and Genetics, University Medical Center [Utrecht], Department of Genetics, Biology and Biochemistry, University of Turin, Institute for Scientific Interchange Foundation, Center for Cancer Prevention, CPO-Piemonte, Unità di epidemiologia dei tumori, Università degli studi di Torino (UNITO)-HuGeF Foundation, Medical Research Council Epidemiology Unit, University of Cambridge [UK] (CAM), Serono Genetics Institute S.A.[Evry], Serono Genetics Institute, Institute of Internal and Preventive Medicine Sibe rian Branch, Russian Academy of Medical Sciences, Institute of Internal Medicine, Novosibirsk State Medical University, Centre for Environmental Health, National Institute of Public Health [Prague], Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), University of Copenhagen = Københavns Universitet (KU), Research Centre for Prevention and Health (RCPH), Department of Public Health [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Capital Region of Denmark, Rigshospitalet [Copenhagen], Copenhagen University Hospital, BHF Laboratories, Rayne building, Department of Medicine, 5 University Street, The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania [Philadelphia]-University of Pennsylvania [Philadelphia]-Children’s Hospital of Philadelphia (CHOP ), Population Health Research Institute, Institut de Physique et Chimie des Matériaux de Strasbourg (IPCMS), Université de Strasbourg (UNISTRA)-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, University of Groningen [Groningen], Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Limnology, Ecology, Uppsala Universitet [Uppsala], Metacohorts Consortium, Erasmus University Medical Center [Rotterdam] (Erasmus MC), King‘s College London, Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Institute for Community Medicine, Department of Oncology and Metabolism [Sheffield, UK], The University of Sheffield [Sheffield, U.K.], European Associated Laboratory [Sheffield, UK] (Sarcoma Research Unit), Robertson Centre for Biostatistics, University of Glasgow, Faculty of Medicine, University of Glasgow, Julius Center for Health Sciences and Primary Care, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), INSERM UMRS 1178, Institut de recherche en biothérapie (IRB), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX), Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Department of Physics, Indian Institute of Technology Kanpur (IIT Kanpur), Department of Pathological Biochemistry, Royal Infirmary, Wareham, Nicholas [0000-0003-1422-2993], Langenberg, Claudia [0000-0002-5017-7344], Luan, Jian'an [0000-0003-3137-6337], and Apollo - University of Cambridge Repository

Subjects
Blood Glucose, Cohort Studies, Diabetes Mellitus, Type 2, Case-Control Studies, [SDV]Life Sciences [q-bio], Genetic Variation, Humans, Genetic Predisposition to Disease, Cholesterol, LDL, Mendelian Randomization Analysis, Proprotein Convertase 9, Randomized Controlled Trials as Topic
Abstract

BACKGROUND:Statin treatment and variants in the gene encoding HMG-CoA reductase are associated with reductions in both the concentration of LDL cholesterol and the risk of coronary heart disease, but also with modest hyperglycaemia, increased bodyweight, and modestly increased risk of type 2 diabetes, which in no way offsets their substantial benefits. We sought to investigate the associations of LDL cholesterol-lowering PCSK9 variants with type 2 diabetes and related biomarkers to gauge the likely effects of PCSK9 inhibitors on diabetes risk.METHODS:In this mendelian randomisation study, we used data from cohort studies, randomised controlled trials, case control studies, and genetic consortia to estimate associations of PCSK9 genetic variants with LDL cholesterol, fasting blood glucose, HbA1c, fasting insulin, bodyweight, waist-to-hip ratio, BMI, and risk of type 2 diabetes, using a standardised analysis plan, meta-analyses, and weighted gene-centric scores.FINDINGS:Data were available for more than 550 000 individuals and 51 623 cases of type 2 diabetes. Combined analyses of four independent PCSK9 variants (rs11583680, rs11591147, rs2479409, and rs11206510) scaled to 1 mmol/L lower LDL cholesterol showed associations with increased fasting glucose (0·09 mmol/L, 95% CI 0·02 to 0·15), bodyweight (1·03 kg, 0·24 to 1·82), waist-to-hip ratio (0·006, 0·003 to 0·010), and an odds ratio for type diabetes of 1·29 (1·11 to 1·50). Based on the collected data, we did not identify associations with HbA1c (0·03%, -0·01 to 0·08), fasting insulin (0·00%, -0·06 to 0·07), and BMI (0·11 kg/m2, -0·09 to 0·30).INTERPRETATION:PCSK9 variants associated with lower LDL cholesterol were also associated with circulating higher fasting glucose concentration, bodyweight, and waist-to-hip ratio, and an increased risk of type 2 diabetes. In trials of PCSK9 inhibitor drugs, investigators should carefully assess these safety outcomes and quantify the risks and benefits of PCSK9 inhibitor treatment, as was previously done for statins.FUNDING:British Heart Foundation, and University College London Hospitals NHS Foundation Trust (UCLH) National Institute for Health Research (NIHR) Biomedical Research Centre.

Published
2016

27. Soil quality status under Hazton’s paddy farming: A case study in Banyumas Regency, Indonesia

Author

Supriyadi Supriyadi, Reni Ustiatik, Brilliant Mukti, Slamet Minardi, Hery Widijanto, and Muchammad Bima Gegana Sakti

Subjects
nutrients deficiency, food security, intensive management, land degradation, overburdened land, Agriculture, Agriculture (General), S1-972, Plant culture, SB1-1110
Abstract

Soil quality is the ability of the soil to perform its function, such as providing nourishment to the plants. However, intensive paddy farming, such as Hazton’s paddy farming method, is suspected to deteriorate soil quality status and degrade land sustainability. This study aimed to analyze soil quality under Hazton’s paddy farming. This study was conducted on paddy fields in Banyumas Regency using a randomized block design with treatment consisting of 1) conventional method as a control, 2) Hazton’s method + organic fertilizer, 3) Hazton’s method + organic fertilizer + decomposer, and 4) Hazton’s method + organic fertilizer + decomposer + leaf fertilizer. Soil quality was determined according to a minimum data set (MDS) that consisted of organic C, pH, total N, available phosphorus (P) and potassium (K), base saturation (BS), cation exchange capacity (CEC), bacterial density, soil respiration, and C/N ratio. The MDS was scored and calculated using the soil quality index formula and then classified from very low to very high (

Published
2022
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30. DNA Copy Number Variants of Known Glaucoma Genes in Relation to Primary Open-Angle Glaucoma

Author

Loomis, S. J., Yaspan, B. L., Richards, J. E., Liu, Y., Pasquale, L. R., Budenz, D. L., Kang, J. H., Realini, A., Pericak-Vance, M. A., Gaasterland, D., Zhang, K., Christen, W. G., Lichter, P., Singh, K., Schuman, J. S., Ashley-Koch, A. E., Sit, A. J., Lee, R. K., Vollrath, D., Wollstein, G., Garrett, M. E., Brilliant, M., Fingert, J. H., Haines, J. L., Weinreb, R., Zack, D. J., Gaasterland, T., Allingham, R. R., Wiggs, J. L., Bailey, J. C., Moroi, S. E., and Scott, W. K.

Subjects
endocrine system diseases, genetic structures, mental disorders, sense organs, eye diseases
Abstract

We examined the role of DNA copy number variants (CNVs) of known glaucoma genes in relation to primary open angle glaucoma (POAG).

Published
2014
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31. A genome-wide association study identifies variants in KCNIP4 associated with ACE inhibitor-induced cough

Author

Mosley, J D, Shaffer, C M, Van Driest, S L, Weeke, P E, Wells, Q S, Karnes, J H, Velez Edwards, D R, Wei, W-Q, Teixeira, P L, Bastarache, L, Crawford, D C, Li, R, Manolio, T A, Bottinger, E P, McCarty, C A, Linneman, J G, Brilliant, M H, Pacheco, J A, Thompson, W, Chisholm, R L, Jarvik, G P, Crosslin, D R, Carrell, D S, Baldwin, E, Ralston, J, Larson, E B, Grafton, J, Scrol, A, Jouni, H, Kullo, I J, Tromp, G, Borthwick, K M, Kuivaniemi, H, Carey, D J, Ritchie, M D, Bradford, Y, Verma, S S, Chute, C G, Veluchamy, A, Siddiqui, M K, Palmer, C N A, Doney, A, Mahmoud Pour, Seyed Hamidreza, Maitland-van der Zee, A H, Morris, A D, Denny, J C, Roden, D M, Mosley, J D, Shaffer, C M, Van Driest, S L, Weeke, P E, Wells, Q S, Karnes, J H, Velez Edwards, D R, Wei, W-Q, Teixeira, P L, Bastarache, L, Crawford, D C, Li, R, Manolio, T A, Bottinger, E P, McCarty, C A, Linneman, J G, Brilliant, M H, Pacheco, J A, Thompson, W, Chisholm, R L, Jarvik, G P, Crosslin, D R, Carrell, D S, Baldwin, E, Ralston, J, Larson, E B, Grafton, J, Scrol, A, Jouni, H, Kullo, I J, Tromp, G, Borthwick, K M, Kuivaniemi, H, Carey, D J, Ritchie, M D, Bradford, Y, Verma, S S, Chute, C G, Veluchamy, A, Siddiqui, M K, Palmer, C N A, Doney, A, Mahmoud Pour, Seyed Hamidreza, Maitland-van der Zee, A H, Morris, A D, Denny, J C, and Roden, D M

Abstract

The most common side effect of angiotensin-converting enzyme inhibitor (ACEi) drugs is cough. We conducted a genome-wide association study (GWAS) of ACEi-induced cough among 7080 subjects of diverse ancestries in the Electronic Medical Records and Genomics (eMERGE) network. Cases were subjects diagnosed with ACEi-induced cough. Controls were subjects with at least 6 months of ACEi use and no cough. A GWAS (1595 cases and 5485 controls) identified associations on chromosome 4 in an intron of KCNIP4. The strongest association was at rs145489027 (minor allele frequency=0.33, odds ratio (OR)=1.3 (95% confidence interval (CI): 1.2-1.4), P=1.0 × 10(-8)). Replication for six single-nucleotide polymorphisms (SNPs) in KCNIP4 was tested in a second eMERGE population (n=926) and in the Genetics of Diabetes Audit and Research in Tayside, Scotland (GoDARTS) cohort (n=4309). Replication was observed at rs7675300 (OR=1.32 (1.01-1.70), P=0.04) in eMERGE and at rs16870989 and rs1495509 (OR=1.15 (1.01-1.30), P=0.03 for both) in GoDARTS. The combined association at rs1495509 was significant (OR=1.23 (1.15-1.32), P=1.9 × 10(-9)). These results indicate that SNPs in KCNIP4 may modulate ACEi-induced cough risk.The Pharmacogenomics Journal advance online publication, 14 July 2015; doi:10.1038/tpj.2015.51.

Published
2015

32. A genome-wide association study identifies variants in KCNIP4 associated with ACE inhibitor-induced cough

Author

Sub Gen. Pharmacoepi and Clinical Pharm, Sub Pharmacotherapy, Theoretical, Pharmacoepidemiology and Clinical Pharmacology, Mosley, J D, Shaffer, C M, Van Driest, S L, Weeke, P E, Wells, Q S, Karnes, J H, Velez Edwards, D R, Wei, W-Q, Teixeira, P L, Bastarache, L, Crawford, D C, Li, R, Manolio, T A, Bottinger, E P, McCarty, C A, Linneman, J G, Brilliant, M H, Pacheco, J A, Thompson, W, Chisholm, R L, Jarvik, G P, Crosslin, D R, Carrell, D S, Baldwin, E, Ralston, J, Larson, E B, Grafton, J, Scrol, A, Jouni, H, Kullo, I J, Tromp, G, Borthwick, K M, Kuivaniemi, H, Carey, D J, Ritchie, M D, Bradford, Y, Verma, S S, Chute, C G, Veluchamy, A, Siddiqui, M K, Palmer, C N A, Doney, A, Mahmoud Pour, Seyed Hamidreza, Maitland-van der Zee, A H, Morris, A D, Denny, J C, Roden, D M, Sub Gen. Pharmacoepi and Clinical Pharm, Sub Pharmacotherapy, Theoretical, Pharmacoepidemiology and Clinical Pharmacology, Mosley, J D, Shaffer, C M, Van Driest, S L, Weeke, P E, Wells, Q S, Karnes, J H, Velez Edwards, D R, Wei, W-Q, Teixeira, P L, Bastarache, L, Crawford, D C, Li, R, Manolio, T A, Bottinger, E P, McCarty, C A, Linneman, J G, Brilliant, M H, Pacheco, J A, Thompson, W, Chisholm, R L, Jarvik, G P, Crosslin, D R, Carrell, D S, Baldwin, E, Ralston, J, Larson, E B, Grafton, J, Scrol, A, Jouni, H, Kullo, I J, Tromp, G, Borthwick, K M, Kuivaniemi, H, Carey, D J, Ritchie, M D, Bradford, Y, Verma, S S, Chute, C G, Veluchamy, A, Siddiqui, M K, Palmer, C N A, Doney, A, Mahmoud Pour, Seyed Hamidreza, Maitland-van der Zee, A H, Morris, A D, Denny, J C, and Roden, D M

Published
2015

33. A genome-wide association study identifies variants in KCNIP4 associated with ACE inhibitor-induced cough

Author

Mosley, J D, primary, Shaffer, C M, additional, Van Driest, S L, additional, Weeke, P E, additional, Wells, Q S, additional, Karnes, J H, additional, Velez Edwards, D R, additional, Wei, W-Q, additional, Teixeira, P L, additional, Bastarache, L, additional, Crawford, D C, additional, Li, R, additional, Manolio, T A, additional, Bottinger, E P, additional, McCarty, C A, additional, Linneman, J G, additional, Brilliant, M H, additional, Pacheco, J A, additional, Thompson, W, additional, Chisholm, R L, additional, Jarvik, G P, additional, Crosslin, D R, additional, Carrell, D S, additional, Baldwin, E, additional, Ralston, J, additional, Larson, E B, additional, Grafton, J, additional, Scrol, A, additional, Jouni, H, additional, Kullo, I J, additional, Tromp, G, additional, Borthwick, K M, additional, Kuivaniemi, H, additional, Carey, D J, additional, Ritchie, M D, additional, Bradford, Y, additional, Verma, S S, additional, Chute, C G, additional, Veluchamy, A, additional, Siddiqui, M K, additional, Palmer, C N A, additional, Doney, A, additional, MahmoudPour, S H, additional, Maitland-van der Zee, A H, additional, Morris, A D, additional, Denny, J C, additional, and Roden, D M, additional

Published
2015
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34. Using remote sensing and geographic information system for prioritization of areas for site specific agricultural development in Limpopo Province, South Africa

Author

Brilliant M. Petja, Richard R. Ramugondo, and A. Edward Nesamvuni

Subjects
Sustainable development, Geographic information system, Geography, business.industry, Agriculture, Scale (social sciences), Sustainability, Carrying capacity, Agricultural communication, Agricultural productivity, business, Remote sensing
Abstract

Agriculture serves among others as a cornerstone for development in South Africa. It contributes significantly to the provincial and national economy. Agricultural development need to be coordinated and implemented effectively in order to achieve the objectives of sustainable production and efficient regional development. It is therefore always important to ensure that any form of development tally with environmental sustainability for a sustained economic output. This study assesses site specific characteristics in selected areas of the Province, to determine their relevant agricultural development opportunities. Particular emphasis is given to priority agricultural development areas identified in the Limpopo Department of Agriculture's (LDA) Agricultural Development Strategy. Remote sensing and geographic information system (GIS) provides an opportunity for integrated assessment of resource development potential within a given time and scale. This entails assessing the suitability in terms of land/soil and climatic variations, which are determinant factors for specific agricultural production. Results show that identified areas exhibit varying potential for different agricultural commodities, dependent upon different soils and the local climates. Geo-informatics technology contributes positively towards directing specific agricultural development within the limits of the environment's carrying capacity.

Published
2009

35. Challenges and opportunities in crop simulation modelling under seasonal and projected climate change scenarios for crop production in South Africa

Author

Priscilla Ntuchu Kephe, Kingsley Kwabena Ayisi, and Brilliant Mareme Petja

Subjects
Adaptation strategies, Crop simulation models, Climate change, Data limitation, Future crop production, Agriculture, Nutrition. Foods and food supply, TX341-641
Abstract

Abstract A broad scope of crop models with varying demands on data inputs is being used for several purposes, such as possible adaptation strategies to control climate change impacts on future crop production, management decisions, and adaptation policies. A constant challenge to crop model simulation, especially for future crop performance projections and impact studies under varied conditions, is the unavailability of reliable historical data for model calibrations. In some cases, available input data may not be in the quantity and quality needed to drive most crop models. Even when a suitable choice of a crop simulation model is selected, data limitations hamper some of the models’ effective role for projections. To date, no review has looked at factors inhibiting the effective use of crop simulation models and complementary sources for input data in South Africa. This review looked at the barriers to crop simulation, relevant sources from which input data for crop models can be sourced, and proposed a framework for collecting input data. Results showed that barriers to effective simulations exist because, in most instances, the input data, like climate, soil, farm management practices, and cultivar characteristics, were generally incomplete, poor in quality, and not easily accessible or usable. We advocate a hybrid approach for obtaining input data for model calibration and validation. Recommended methods depending on the intended outputs and end use of model results include remote sensing, field, and greenhouse experiments, secondary data, engaging with farmers to model actual on-farm conditions. Thus, employing more than one method of data collection for input data for models can reduce the challenges faced by crop modellers due to the unavailability of data. The future of modelling depends on the goodness and availability of the input data, the readiness of modellers to cooperate on modularity and standardization, and potential user groups’ ability to communicate.

Published
2021
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36. Optimizing Smallholder Farmers' Productivity Through Crop Selection, Targeting and Prioritization Framework in the Limpopo and Free State Provinces, South Africa

Author

Priscilla Ntuchu Kephe, Lendeu Constantain Siewe, Ratunku Gabriel Lekalakala, Kingsley Kwabena Ayisi, and Brilliant Mareme Petja

Subjects
agricultural productivity, Benefit-Cost Ratio, cost-benefit analysis, crop production, Net Present Value, targeting, Nutrition. Foods and food supply, TX341-641, Food processing and manufacture, TP368-456
Abstract

Smallholder farmers like those in Limpopo and the Free State (FS) Province of South Africa sometimes incur high production costs due to their crop choices. This cost is exacerbated by the challenges posed by climate change and the socio-economic position of the smallholder farmers. The opportunity cost of producing cost-intensive crops is the forgone benefits these smallholder farmers would have gained if they grew cheaper options. Therefore, a tool to assist farmers and stakeholders when choosing, advising on, or assisting with production and management decisions at farm levels to ensure profitability and sustainability is needed. This paper aimed at providing a framework to assist farmers in identifying profitable crops for production under the present day and possible future scenarios in Limpopo and the FS. This framework uses a multi-stage process with forward and backward linkages to refine analysis and results. Through reviews, interviews, focus groups and transect walks, the state of the biophysical, socio-economic, and political environment and their impact on smallholder farming were collected from 600 farmers and 40 key informants. Inferential statistics and cost-benefit analysis were used for data analysis. The results indicate that maize, though widely cultivated in both Provinces, has the highest average total production cost of R 29,694.39 /ha while the lowest was sunflower with R 6,453.78 /ha. Irrigated maize had the highest break-even price per hectare of R 38 351.85, while sunflower had the lowest R 4 685.85. In both provinces, groundnut ranked first on Net Present Value (NPVs) at discount rates of 8% and 10%, while low yield maize ranked last, scoring values of –R 4 163 894 and –R 3 953 393. Groundnut had the highest Benefit Cost Ratio (BCR) at 2.22 and 6.70 in Limpopo and FS. The BCR for low-yield maize was the lowest of all the crops. The base scenario results in economic and financial terms indicate it is better to farm sunflower, soybean, grain sorghum, and groundnuts than maize because of lower production cost and maize substitutes. Furthermore, climate change projections suggest a drier future for these provinces, implying the yield targets for farmers producing maize would be difficult to achieve when faced with climate change. Such information is vital for stakeholders.

Published
2022
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38. DNA Copy Number Variants of Known Glaucoma Genes in Relation to Primary Open-Angle Glaucoma

Author

Liu, Y., primary, Garrett, M. E., additional, Yaspan, B. L., additional, Bailey, J. C., additional, Loomis, S. J., additional, Brilliant, M., additional, Budenz, D. L., additional, Christen, W. G., additional, Fingert, J. H., additional, Gaasterland, D., additional, Gaasterland, T., additional, Kang, J. H., additional, Lee, R. K., additional, Lichter, P., additional, Moroi, S. E., additional, Realini, A., additional, Richards, J. E., additional, Schuman, J. S., additional, Scott, W. K., additional, Singh, K., additional, Sit, A. J., additional, Vollrath, D., additional, Weinreb, R., additional, Wollstein, G., additional, Zack, D. J., additional, Zhang, K., additional, Pericak-Vance, M. A., additional, Haines, J. L., additional, Pasquale, L. R., additional, Wiggs, J. L., additional, Allingham, R. R., additional, Ashley-Koch, A. E., additional, and Hauser, M. A., additional

Published
2014
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39. A polymorphism in HLA-G modifies statin benefit in asthma

Author

Naidoo, D, primary, Wu, A C, additional, Brilliant, M H, additional, Denny, J, additional, Ingram, C, additional, Kitchner, T E, additional, Linneman, J G, additional, McGeachie, M J, additional, Roden, D M, additional, Shaffer, C M, additional, Shah, A, additional, Weeke, P, additional, Weiss, S T, additional, Xu, H, additional, and Medina, M W, additional

Published
2014
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45. The impact and implications of COVID-19: Reflections on the Zimbabwean society

Author

Innocent Chirisa, Brilliant Mavhima, Tariro Nyevera, Andrew Chigudu, Albert Makochekanwa, Joefrey Matai, Thebeth Masunda, Eve K. Chandaengerwa, Francis Machingura, Stanzia Moyo, Halleluah Chirisa, Marvellous Mhloyi, Ashton Murwira, Lawrence Mhandara, Rosalie Katsande, Kudakwashe Muchena, Elton Manjeya, Teresa Nyika, and Langton Mundau

Subjects
Human rights, Livelihoods, Urbanity, Rurality, Human movement, Culture, History of scholarship and learning. The humanities, AZ20-999, Social sciences (General), H1-99
Abstract

The article is an attempt to provide a kaleidoscopic interpretation of how social science scholarship views the socio-cultural terrain of Zimbabwe during and after the global health crisis, and the societal and business haemorrhage induced by the coronavirus (COVID-19). Built through a multi-perspective and triangulation involving a modified Delphic approach that engages archival methods involving document and literature review, content analysis and expert interpretation; the article unveils the various effects of COVID-19 on Zimbabwe. It is concluded that COVID-19 by its nature is disruptive to everyday life, restrictive to human-social relations and is an instigator to tradition, spirituality and intellectuality in the country. The challenge of the virus brings to society a deliberate consciousness that global processes and events are converging (borders are porous) while local embeddedness is being entrenched through practices like lockdowns and confinement.

Published
2021
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46. The genetics of Albinism and Pigmentation variation.

Author

Brilliant, M. H., primary, Walsh, J. B., additional, Garrison, N. A., additional, Kim, M. H., additional, Henderson, M. S., additional, Kelch, J. T., additional, Smith, D. K., additional, Metelits, B. S., additional, Ito, S., additional, and Wakamatsu, K., additional

Published
2004
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47. A decision support system for institutional support to farmers in the face of climate change challenges in Limpopo province

Author

Priscilla Ntuchu Kephe, Kingsley Kwabena Ayisi, and Brilliant Mareme Petja

Subjects
Geography, Environmental sciences, Agricultural sciences, Institutional support, Adaptive capacity, Support institution, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

Smallholder farmers in South Africa continue to be affected by the changing climate despite the existence of support to improve their adaptive capacity. This study focused on the institutional support systems and support types available to farmers in agro-ecological zones of Limpopo Province and assessed support types best suited to each area. Six hundred farmers were purposively sampled across the agro-ecological zones of Limpopo and interviewed. Support types looked at included monetary, machinery, seeds, educational support and others (irrigation scheme, animals, fertilizer, pesticides). Supporting institutions included Agro finance institutions, DAFF, Banks, and NGOs. Results showed that 70.01% of farmers received support from DAFF 25.60% from NGO's and 4.39% from Agro finance institutions. The most number of support received was two types 33.3% of the farmers. The result from the ANOVA showed that there were no significant differences in the level of difficulty experienced by farmers in accessing the various support institutions across the agro-ecological zones. In terms of the various support types received, there was a statistically significant difference in seeds (p = 0.002 < α = 0.05) and educational (p = 0.0001 < α = 0.05) support received between the different areas. Furthermore, the support needs varied across zones with farmers in arid-zone needing machinery, education, seeds and lastly monetary support while the semi-arid zone needed machinery, education, others, seeds, monetary and the humid, machinery, education, others, money and seeds. It is therefore recommended that support for farmers should be location-specific in order to enhance the adaptive capacity of an area and not be based only on the availability of certain support. There is a need for proper coordination between institutions in their aim to assist farmers to cope with climate change.

Published
2020
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