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Your search keyword '"CONNOLLY, JOHN"' showing total 11 results
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11 results on '"CONNOLLY, JOHN"'

2. Author Correction: Genetic variation in the human leukocyte antigen region confers susceptibility to Clostridioides difficile infection

Author

Ferar, Kathleen, Hall, Taryn O., Crawford, Dana C., Rowley, Robb, Satterfield, Benjamin A., Li, Rongling, Gragert, Loren, Karlson, Elizabeth W., de Andrade, Mariza, Kullo, Iftikhar J., McCarty, Catherine A., Kho, Abel, Hayes, M. Geoffrey, Ritchie, Marylyn D., Crane, Paul K., Mirel, Daniel B., Carlson, Christopher, Connolly, John J., Hakonarson, Hakon, Crenshaw, Andrew T., Carrell, David, Luo, Yuan, Dikilitas, Ozan, Denny, Joshua C., Jarvik, Gail P., and Crosslin, David R.

Published
2023
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3. Genetic variation in the human leukocyte antigen region confers susceptibility to Clostridioides difficile infection

Author

Ferar, Kathleen, Hall, Taryn O., Crawford, Dana C., Rowley, Robb, Satterfield, Benjamin A., Li, Rongling, Gragert, Loren, Karlson, Elizabeth W., de Andrade, Mariza, Kullo, Iftikhar J., McCarty, Catherine A., Kho, Abel, Hayes, M. Geoffrey, Ritchie, Marylyn D., Crane, Paul K., Mirel, Daniel B., Carlson, Christopher, Connolly, John J., Hakonarson, Hakon, Crenshaw, Andrew T., Carrell, David, Luo, Yuan, Dikilitas, Ozan, Denny, Joshua C., Jarvik, Gail P., and Crosslin, David R.

Published
2023
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5. Erratum: A genome-wide association study of anorexia nervosa suggests a risk locus implicated in dysregulated leptin signaling

Author

Li, Dong, Chang, Xiao, Connolly, John J, Tian, Lifeng, Liu, Yichuan, Bhoj, Elizabeth J, Robinson, Nora, Abrams, Debra, Li, Yun R, Bradfield, Jonathan P, Kim, Cecilia E, Li, Jin, Wang, Fengxiang, Snyder, James, Lemma, Maria, Hou, Cuiping, Wei, Zhi, Guo, Yiran, Qiu, Haijun, Mentch, Frank D, Thomas, Kelly A, Chiavacci, Rosetta M, Cone, Roger, Li, Bingshan, Sleiman, Patrick A, Eating Disorders Working Group of the Psychiatric Genomics Consortium, Price Foundation Collaborative Group, and Hakonarson, Hakon

Subjects
Biological Sciences, Mathematical Sciences, Genetics, Eating Disorders Working Group of the Psychiatric Genomics Consortium, Price Foundation Collaborative Group
Abstract

A correction to this article has been published and is linked from the HTML version of this paper. The error has been fixed in the paper.

Published
2017

6. A genome-wide association study of anorexia nervosa suggests a risk locus implicated in dysregulated leptin signaling.

Author

Li, Dong, Chang, Xiao, Connolly, John J, Tian, Lifeng, Liu, Yichuan, Bhoj, Elizabeth J, Robinson, Nora, Abrams, Debra, Li, Yun R, Bradfield, Jonathan P, Kim, Cecilia E, Li, Jin, Wang, Fengxiang, Snyder, James, Lemma, Maria, Hou, Cuiping, Wei, Zhi, Guo, Yiran, Qiu, Haijun, Mentch, Frank D, Thomas, Kelly A, Chiavacci, Rosetta M, Cone, Roger, Li, Bingshan, Sleiman, Patrick A, Eating Disorders Working Group of the Psychiatric Genomics Consortium, Price Foundation Collaborative Group, and Hakonarson, Hakon

Subjects
Eating Disorders Working Group of the Psychiatric Genomics Consortium, Price Foundation Collaborative Group
Abstract

We conducted a genome-wide association study (GWAS) of anorexia nervosa (AN) using a stringently defined phenotype. Analysis of phenotypic variability led to the identification of a specific genetic risk factor that approached genome-wide significance (rs929626 in EBF1 (Early B-Cell Factor 1); P = 2.04 × 10-7; OR = 0.7; 95% confidence interval (CI) = 0.61-0.8) with independent replication (P = 0.04), suggesting a variant-mediated dysregulation of leptin signaling may play a role in AN. Multiple SNPs in LD with the variant support the nominal association. This demonstrates that although the clinical and etiologic heterogeneity of AN is universally recognized, further careful sub-typing of cases may provide more precise genomic signals. In this study, through a refinement of the phenotype spectrum of AN, we present a replicable GWAS signal that is nominally associated with AN, highlighting a potentially important candidate locus for further investigation.

Published
2017

9. Quantifying peatland land use and CO2 emissions in Irish raised bogs: mapping insights using Sentinel-2 data and Google Earth Engine.

Author

Habib, Wahaj, Ingle, Ruchita, Saunders, Matthew, and Connolly, John

Subjects
BOGS, LAND use, PEATLAND restoration, WETLANDS, RESTORATION ecology, CLIMATE change mitigation, AGRICULTURE
Abstract

Ireland has > 50% of the EU's ocean-raised bogs; however, degradation through land-use activities has transformed them from carbon (C) sinks to sources. Given their significant role in climate mitigation, it is essential to quantify the emissions resulting from land use degradation of these ecosystems. A seven-class land-use classification system for Irish peatlands (LUCIP) was developed and mapped using Sentinel-2 imagery, random forest machine learning and Google Earth Engine. The results revealed that agricultural grassland comprised 43% of the land use on raised bogs, followed by, forestry (21%), cutover (11%), cutaway (10%) remnant peatlands (13%), waterbodies and built-up ~ 1% each. The overall accuracy of the map was 89%. The map was used to estimate CO2 emissions for four classes constituting 85% of raised bogs: cutover, cutaway, grassland, and forestry using the IPCC wetlands supplement and literature-based emission factors, we estimated emissions at ~ 1.92 (± 1.58–2.27 Mt CO2-C-yr−1) and ~ 0.68 Mt CO2-C-yr−1 (± 0.44–0.91 Mt CO2-C-yr−1) respectively. This is the first study to spatially quantify land use and related emissions from raised bogs. The results have revealed widespread degradation of these globally rare habitats, making them net emitters of CO2. The map is vital for the conservation of these ecosystems through restoration efforts, and the methodology can also be applied to other regions with similar peatland land use issues. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Induction of Human T-cell and Cytokine Responses Following Vaccination with a Novel Influenza Vaccine

Author

Skibinski, David A. G., Jones, Leigh Ann, Zhu, Yuan O., Xue, Lin Wu, Au, Bijin, Lee, Bernett, Naim, Ahmad Nazri Mohamed, Lee, Audrey, Kaliaperumal, Nivashini, Low, Jenny G. H., Lee, Lawrence S., Poidinger, Michael, Saudan, Philippe, Bachmann, Martin, Ooi, Eng Eong, Hanson, Brendon J., Novotny-Diermayr, Veronica, Matter, Alex, Fairhurst, Anna-Marie, Hibberd, Martin L., and Connolly, John E.

Published
2018
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