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4 results on '"Ndila, Carolyne M."'

1. The indirect health effects of malaria estimated from health advantages of the sickle cell trait

Author

Uyoga, Sophie, Macharia, Alex W., Ndila, Carolyne M., Nyutu, Gideon, Shebe, Mohammed, Awuondo, Kennedy O., Mturi, Neema, Peshu, Norbert, Tsofa, Benjamin, Scott, J. Anthony G., Maitland, Kathryn, Williams, Thomas N., Medical Research Council (MRC), Commission of the European Communities, Medical Research Council, Wellcome Trust, MRC Australia, Imperial College London, and Engineering & Physical Science Research Council (EPSRC)

Subjects
Genotype, Science, Hemoglobin, Sickle, Malnutrition, Plasmodium falciparum, Infant, Bacteremia, Article, Sickle Cell Trait, Patient Admission, Case-Control Studies, Child, Preschool, MD Multidisciplinary, parasitic diseases, Odds Ratio, Humans, lcsh:Q, Malaria, Falciparum, lcsh:Science, Disease Resistance
Abstract

Most estimates of the burden of malaria are based on its direct impacts; however, its true burden is likely to be greater because of its wider effects on overall health. Here we estimate the indirect impact of malaria on children’s health in a case-control study, using the sickle cell trait (HbAS), a condition associated with a high degree of specific malaria resistance, as a proxy indicator for an effective intervention. We estimate the odds ratios for HbAS among cases (all children admitted to Kilifi County Hospital during 2000–2004) versus community controls. As expected, HbAS protects strongly against malaria admissions (aOR 0.26; 95%CI 0.22–0.31), but it also protects against other syndromes, including neonatal conditions (aOR 0.79; 0.67–0.93), bacteraemia (aOR 0.69; 0.54–0.88) and severe malnutrition (aOR 0.67; 0.55–0.83). The wider health impacts of malaria should be considered when estimating the potential added benefits of effective malaria interventions., Estimates of the burden of malaria often don't take wider, indirect effects on overall health into consideration. Here, Uyoga et al. estimate the indirect impact of malaria on children’s health in a case-control study, using the sickle cell trait as a proxy indicator for an effective intervention.

Published
2019

2. Insights into malaria susceptibility using genome - wide data on 17,000 individuals from Africa, Asia and Oceania

Author

Band, Gavin, Le, Quang Si, Clarke, Geraldine M., Kivinen, Katja, Hubbart, Christina, Jeffreys, Anna E., Rowlands, Kate, Leffler, Ellen M., Jallow, Muminatou, Conway, David J., Sisay-Joof, Fatoumatta, Sirugo, Giorgio, d’Alessandro, Umberto, Toure, Ousmane B., Thera, Mahamadou A., Konate, Salimata, Sissoko, Sibiri, Mangano, Valentina D., Bougouma, Edith C., Sirima, Sodiomon B., Amenga-Etego, Lucas N., Ghansah, Anita K., Hodgson, Abraham V. O., Wilson, Michael D., Enimil, Anthony, Ansong, Daniel, Evans, Jennifer, Ademola, Subulade A., Apinjoh, Tobias O., Ndila, Carolyne M., Manjurano, Alphaxard, Drakeley, Chris, Reyburn, Hugh, Phu, Nguyen Hoan, Ngoc Quyen, Nguyen Thi, Thai, Cao Quang, Hien, Tran Tinh, Teo, Yik Ying, Manning, Laurens, Laman, Moses, Michon, Pascal, Karunajeewa, Harin, Siba, Peter, Allen, Steve, Allen, Angela, Bahlo, Melanie, Davis, Timothy M. E., Cornelius, Victoria, Shelton, Jennifer, Spencer, Chris C.A., Busby, George B.J., Kerasidou, Angeliki, Drury, Eleanor, Stalker, Jim, Dilthey, Alexander, Mentzer, Alexander J., McVean, Gil, Bojang, Kalifa A., Doumbo, Ogobara, Modiano, David, Koram, Kwadwo A., Agbenyega, Tsiri, Amodu, Olukemi K., Achidi, Eric, Williams, Thomas N., Marsh, Kevin, Riley, Eleanor M., Molyneux, Malcolm, Taylor, Terrie, Dunstan, Sarah J., Farrar, Jeremy, Mueller, Ivo, Rockett, Kirk A., Kwiatkowski, Dominic P., HUS Gynecology and Obstetrics, and Wellcome Trust

Subjects
0301 basic medicine, Male, RESISTANCE LOCI, General Physics and Astronomy, Datasets as Topic, Genome-wide association study, Disease, Genome-wide association studies, DISEASE, 0302 clinical medicine, HLA Antigens, BLOOD-GROUP, Prevalence, qu_460, Malaria, Falciparum, Child, lcsh:Science, GENE-EXPRESSION, 11832 Microbiology and virology, Genetics, Multidisciplinary, PLASMODIUM-FALCIPARUM, biology, GENOTYPE, 3. Good health, ALLELE, Cerebral Malaria, Chromosomes, Human, Pair 6, Female, Malaria Genomic Epidemiology Network, Medical genomics, Adult, Asia, Science, Oceania, wa_395, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, malaria genomic epidemiology, plasmodium-falciparum, genotype, 03 medical and health sciences, Plasma Membrane Calcium-Transporting ATPases, parasitic diseases, medicine, Immunogenetics, Humans, Genetic Predisposition to Disease, Genetic association, TRANSCRIPTOME ANALYSES, IDENTIFICATION, Case-control study, Plasmodium falciparum, wc_755, General Chemistry, biology.organism_classification, medicine.disease, wc_750, Malaria, ASSOCIATION ANALYSIS, 030104 developmental biology, Infectious disease (medical specialty), Genetic Loci, Case-Control Studies, Africa, lcsh:Q, 3111 Biomedicine, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

The human genetic factors that affect resistance to infectious disease are poorly understood. Here we report a genome-wide association study in 17,000 severe malaria cases and population controls from 11 countries, informed by sequencing of family trios and by direct typing of candidate loci in an additional 15,000 samples. We identify five replicable associations with genome-wide levels of evidence including a newly implicated variant on chromosome 6. Jointly, these variants account for around one-tenth of the heritability of severe malaria, which we estimate as ~23% using genome-wide genotypes. We interrogate available functional data and discover an erythroid-specific transcription start site underlying the known association in ATP2B4, but are unable to identify a likely causal mechanism at the chromosome 6 locus. Previously reported HLA associations do not replicate in these samples. This large dataset will provide a foundation for further research on the genetic determinants of malaria resistance in diverse populations., Four genome-wide associated loci are currently known for malaria susceptibility. Here, the authors expand on earlier work by combining data from 11 malaria-endemic countries and additional population sequencing informing an African-enriched imputation reference panel, with findings including a previously unreported association on chromosome 6.

Published
2019

3. Human candidate gene polymorphisms and risk of severe malaria in children in Kilifi, Kenya: a case-control association study

Author

Ndila, Carolyne M, Uyoga, Sophie, Macharia, Alexander W, Nyutu, Gideon, Peshu, Norbert, Ojal, John, Shebe, Mohammed, Awuondo, Kennedy O, Mturi, Neema, Tsofa, Benjamin, Sepúlveda, Nuno, Clark, Taane G, Band, Gavin, Clarke, Geraldine, Rowlands, Kate, Hubbart, Christina, Jeffreys, Anna, Kariuki, Silvia, Marsh, Kevin, Mackinnon, Margaret, Maitland, Kathryn, Kwiatkowski, Dominic P, Rockett, Kirk A, Williams, Thomas N, Abathina, Amadou, Abubakar, Ismaela, Achidi, Eric, Agbenyega, Tsiri, Aiyegbo, Mohammed, Akoto, Alex, Allen, Angela, Allen, Stephen, Amenga-Etego, Lucas, Amodu, Folakemi, Amodu, Olukemi, Anchang-Kimbi, Judith, Ansah, Nana, Ansah, Patrick, Ansong, Daniel, Antwi, Sampson, Anyorigiya, Thomas, Apinjoh, Tobias, Asafo-Agyei, Emmanuel, Asoala, Victor, Atuguba, Frank, Auburn, Sarah, Bah, Abdou, Bamba, Kariatou, Bancone, Germana, Barnwell, David, Barry, Abdoulaye, Bauni, Evasius, Besingi, Richard, Bojang, Kalifa, Bougouma, Edith, Bull, Susan, Busby, George, Camara, Abdoulie, Camara, Landing, Campino, Susana, Carter, Richard, Carucci, Dan, Casals-Pascual, Climent, Ceesay, Ndey, Ceesay, Pa, Chau, Tran, Chuong, Ly, Clark, Taane, Cole-Ceesay, Ramou, Conway, David, Cook, Katharine, Cook, Olivia, Cornelius, Victoria, Corran, Patrick, Correa, Simon, Cox, Sharon, Craik, Rachel, Danso, Bakary, Davis, Timothy, Day, Nicholas, Deloukas, Panos, Dembele, Awa, Devries, Jantina, Dewasurendra, Rajika, Diakite, Mahamadou, Diarra, Elizabeth, Dibba, Yaya, Diss, Andrea, Djimdé, Abdoulaye, Dolo, Amagana, Doumbo, Ogobara, Doyle, Alan, Drakeley, Chris, Drury, Eleanor, Duffy, Patrick, Dunstan, Sarah, Ebonyi, Augustine, Elhassan, Ahmed, Elhassan, Ibrahim, Elzein, Abier, Enimil, Anthony, Esangbedo, Pamela, Evans, Jennifer, Evans, Julie, Farrar, Jeremy, Fernando, Deepika, Fitzpatrick, Kathryn, Fullah, Janet, Garcia, Jacob, Ghansah, Anita, Gottleib, Michael, Green, Angie, Hart, Lee, Hennsman, Meike, Hien, Tran, Hieu, Nguyen, Hilton, Eliza, Hodgson, Abraham, Horstmann, Rolf, Hughes, Catherine, Hussein, Ayman, Hutton, Robert, Ibrahim, Muntaser, Ishengoma, Deus, Jaiteh, Jula, Jallow, Mariatou, Jallow, Muminatou, Jammeh, Kebba, Jasseh, Momodou, Jobarteh, Amie, Johnson, Kimberly, Joseph, Sarah, Jyothi, Dushyanth, Kachala, David, Kamuya, Dorcas, Kanyi, Haddy, Karunajeewa, Harin, Karunaweera, Nadira, Keita, Momodou, Kerasidou, Angeliki, Khan, Aja, Kivinen, Katja, Kokwaro, Gilbert, Konate, Amadou, Konate, Salimata, Koram, Kwadwo, Kwiatkowski, Dominic, Laman, Moses, Si, Le, Leffler, Ellen, Lemnge, Martha, Lin, Enmoore, Alioune, Ly, Macharia, Alexander, Macinnis, Bronwyn, Mai, Nguyen, Makani, Julie, Malangone, Cinzia, Mangano, Valentina, Manjurano, Alphaxard, Manneh, Lamin, Manning, Laurens, Manske, Magnus, Marsh, Vicki, Maslen, Gareth, Maxwell, Caroline, Mbunwe, Eric, Mccreight, Marilyn, Mead, Daniel, Mendy, Alieu, Mendy, Anthony, Mensah, Nathan, Michon, Pascal, Miles, Alistair, Miotto, Olivo, Modiano, David, Mohamed, Hiba, Molloy, Sile, Molyneux, Malcolm, Molyneux, Sassy, Moore, Mike, Moyes, Catherine, Mtei, Frank, Mtove, George, Mueller, Ivo, Mugri, Regina, Munthali, Annie, Mutabingwa, Theonest, Nadjm, Behzad, Ndi, Andre, Ndila, Carolyne, Newton, Charles, Niangaly, Amadou, Njie, Haddy, Njie, Jalimory, Njie, Madi, Njie, Malick, Njie, Sophie, Njiragoma, Labes, Nkrumah, Francis, Ntunthama, Neema, Nyika, Aceme, Nyirongo, Vysaul, O'Brien, John, Obu, Herbert, Oduro, Abraham, Ofori, Alex, Olaniyan, Subulade, Olaosebikan, Rasaq, Oluoch, Tom, Omotade, Olayemi, Oni, Olajumoke, Onykwelu, Emmanuel, Opi, Daniel, Orimadegun, Adebola, O'Riordan, Sean, Ouedraogo, Issa, Oyola, Samuel, Parker, Michael, Pearson, Richard, Pensulo, Paul, Phiri, Ajib, Phu, Nguyen, Pinder, Margaret, Pirinen, Matti, Plowe, Chris, Potter, Claire, Poudiougou, Belco, Puijalon, Odile, Quyen, Nguyen, Ragoussis, Ioannis, Ragoussis, Jiannis, Rasheed, Oba, Reeder, John, Reyburn, Hugh, Riley, Eleanor, Risley, Paul, Rockett, Kirk, Rodford, Joanne, Rogers, Jane, Rogers, William, Ruano-Rubio, Valentín, Sabally-Ceesay, Kumba, Sadiq, Abubacar, Saidy-Khan, Momodou, Saine, Horeja, Sakuntabhai, Anavaj, Sall, Abdourahmane, Sambian, David, Sambou, Idrissa, Sanjoaquin, Miguel, Shah, Shivang, Shelton, Jennifer, Siba, Peter, Silva, Nilupa, Simmons, Cameron, Simpore, Jaques, Singhasivanon, Pratap, Sinh, Dinh, Sirima, Sodiomon, Sirugo, Giorgio, Sisay-Joof, Fatoumatta, Sissoko, Sibiry, Small, Kerrin, Somaskantharajah, Elilan, Spencer, Chris, Stalker, Jim, Stevens, Marryat, Suriyaphol, Prapat, Sylverken, Justice, Taal, Bintou, Tall, Adama, Taylor, Terrie, Teo, Yik, Thai, Cao, Thera, Mahamadou, Titanji, Vincent, Toure, Ousmane, Troye-Blomberg, Marita, Usen, Stanley, Vanderwal, Aaron, Wangai, Hannah, Watson, Renee, Williams, Thomas, Wilson, Michael, Wrigley, Rebecca, Yafi, Clarisse, Yamoah, Lawrence, The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford, London School of Hygiene and Tropical Medicine (LSHTM), The Wellcome Trust Sanger Institute [Cambridge], St Mary's Hospital, Imperial College, TNW and MM are funded through awards from the Wellcome Trust (grants 091758 and 202800 [to TNW] and grant 088634 [to MM]) and DPK and TGC receive support from the Medical Research Council (grant G19/9 [to DPK] and grants MR/K000551/1, MR/M01360X/1, MR/N010469/1, and MC_PC_15103 [to TGC]). The research leading to these results received funding from the European Community's Seventh Framework Programme (FP7/2007-2013, under grant agreement 242095) and from the Medical Research Council (grant G0600718). MalariaGEN is supported by the Wellcome Trust (WT077383/Z/05/Z) and by the Foundation for the National Institutes of Health (grant 566) as part of the Bill & Melinda Gates' Grand Challenges in Global Health Initiative. The Resource Centre for Genomic Epidemiology of Malaria is supported by the Wellcome Trust (grant 090770/Z/09/Z). Support was also provided by the Medical Research Council (grant G0600718). The Wellcome Trust also provides core awards to the Wellcome Trust Centre for Human Genetics (grant 090532/Z/09/Z) and to the Wellcome Trust Sanger Institute (grant 098051). This work forms part of a larger collaboration with the MalariaGEN Consortium, whose members are listed at http://www.malariagen.net/projects/host/consortium-members. This paper is published with permission from the Director of the Kenya Medical Research Institute (KEMRI)., MalariaGEN Consortium (Anavaj Sakuntabhai), and European Project: 242095,EC:FP7:HEALTH,FP7-HEALTH-2009-single-stage,EVIMALAR(2009)

Subjects
Case-Control Studies, Child, Child, Preschool, Female, Gene Frequency, Genetic Predisposition to Disease, Humans, Kenya, Malaria, Male, Polymorphism, Genetic, Hematology, macromolecular substances, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Article, Genetic, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, parasitic diseases, [SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Polymorphism, Preschool
Abstract

Summary Background Human genetic factors are important determinants of malaria risk. We investigated associations between multiple candidate polymorphisms—many related to the structure or function of red blood cells—and risk for severe Plasmodium falciparum malaria and its specific phenotypes, including cerebral malaria, severe malaria anaemia, and respiratory distress. Methods We did a case-control study in Kilifi County, Kenya. We recruited as cases children presenting with severe malaria to the high-dependency ward of Kilifi County Hospital. We included as controls infants born in the local community between Aug 1, 2006, and Sept 30, 2010, who were part of a genetics study. We tested for associations between a range of candidate malaria-protective genes and risk for severe malaria and its specific phenotypes. We used a permutation approach to account for multiple comparisons between polymorphisms and severe malaria. We judged p values less than 0·005 significant for the primary analysis of the association between candidate genes and severe malaria. Findings Between June 11, 1995, and June 12, 2008, 2244 children with severe malaria were recruited to the study, and 3949 infants were included as controls. Overall, 263 (12%) of 2244 children with severe malaria died in hospital, including 196 (16%) of 1233 with cerebral malaria. We investigated 121 polymorphisms in 70 candidate severe malaria-associated genes. We found significant associations between risk for severe malaria overall and polymorphisms in 15 genes or locations, of which most were related to red blood cells: ABO, ATP2B4, ARL14, CD40LG, FREM3, INPP4B, G6PD, HBA (both HBA1 and HBA2), HBB, IL10, LPHN2 (also known as ADGRL2), LOC727982, RPS6KL1, CAND1, and GNAS. Combined, these genetic associations accounted for 5·2% of the variance in risk for developing severe malaria among individuals in the general population. We confirmed established associations between severe malaria and sickle-cell trait (odds ratio [OR] 0·15, 95% CI 0·11–0·20; p=2·61 × 10−58), blood group O (0·74, 0·66–0·82; p=6·26 × 10−8), and –α3·7-thalassaemia (0·83, 0·76–0·90; p=2·06 × 10−6). We also found strong associations between overall risk of severe malaria and polymorphisms in both ATP2B4 (OR 0·76, 95% CI 0·63–0·92; p=0·001) and FREM3 (0·64, 0·53–0·79; p=3·18 × 10−14). The association with FREM3 could be accounted for by linkage disequilibrium with a complex structural mutation within the glycophorin gene region (comprising GYPA, GYPB, and GYPE) that encodes for the rare Dantu blood group antigen. Heterozygosity for Dantu was associated with risk for severe malaria (OR 0·57, 95% CI 0·49–0·68; p=3·22 × 10−11), as was homozygosity (0·26, 0·11–0·62; p=0·002). Interpretation Both ATP2B4 and the Dantu blood group antigen are associated with the structure and function of red blood cells. ATP2B4 codes for plasma membrane calcium-transporting ATPase 4 (the major calcium pump on red blood cells) and the glycophorins are ligands for parasites to invade red blood cells. Future work should aim at uncovering the mechanisms by which these polymorphisms can result in severe malaria protection and investigate the implications of these associations for wider health. Funding Wellcome Trust, UK Medical Research Council, European Union, and Foundation for the National Institutes of Health as part of the Bill & Melinda Gates Grand Challenges in Global Health Initiative.

Published
2018

4. A novel locus of resistance to severe malaria in a region of ancient balancing selection

Author

Band, Gavin, Rockett, Kirk A., Spencer, Chris C. A., Kwiatkowski, Dominic P., Si Le, Quang, Clarke, Geraldine M., Kivinen, Katja, Leffler, Ellen M., Cornelius, Victoria, Conway, David J., Williams, Thomas N., Taylor, Terrie, Bojang, Kalifa A., Doumbo, Ogobara, Thera, Mahamadou A., Modiano, David, Sirima, Sodiomon B., Wilson, Michael D, Koram, Kwadwo A., Agbenyega, Tsiri, Achidi, Eric, Marsh, Kevin, Reyburn, Hugh, Drakeley, Chris, Riley, Eleanor, Molyneux, Malcolm, Jallow, Muminatou, Pinder, Margaret, Toure, Ousmane B., Konate, Salimata, Sissoko, Sibiri, Bougouma, Edith C., Mangano, Valentina D., Amenga Etego, Lucas N., Ghansah, Anita K., Hodgson, Abraham V. O., Wilson, Michael D., Ansong, Daniel, Enimil, Anthony, Evans, Jennifer, Apinjoh, Tobias O., Macharia, Alexander, Ndila, Carolyne M., Newton, Charles, Peshu, Norbert, Uyoga, Sophie, Manjurano, Alphaxard, Kachala, David, Nyirongo, Vysaul, Mead, Daniel, Drury, Eleanor, Auburn, Sarah, Campino, Susana G., Macinnis, Bronwyn, Stalker, Jim, Gray, Emma, Hubbart, Christina, Jeffreys, Anna E., Rowlands, Kate, Mendy, Alieu, Craik, Rachel, Fitzpatrick, Kathryn, Molloy, Sile, Hart, Lee, Hutton, Robert, Kerasidou, Angeliki, and Johnson, Kimberly J.

Subjects
Male, Erythrocytes, Genome-wide association study, Balancing selection, 0302 clinical medicine, Glycophorins, Malaria, Falciparum, malaria, genetic, resistance, Child, Conserved Sequence, Genetics, 0303 health sciences, Extracellular Matrix Proteins, Multidisciplinary, Natural selection, Single Nucleotide, 3. Good health, Female, Glycophorin, Falciparum, Pan troglodytes, Evolution, Plasmodium falciparum, Locus (genetics), Biology, Polymorphism, Single Nucleotide, Article, ABO Blood-Group System, Host-Parasite Interactions, Evolution, Molecular, 03 medical and health sciences, Genetic, parasitic diseases, medicine, Animals, Humans, Genetic Predisposition to Disease, Polymorphism, Selection, Genetic, Selection, Gene, 030304 developmental biology, Haplotype, Erythrocyte Membrane, Molecular, medicine.disease, biology.organism_classification, Malaria, Haplotypes, Africa, Genome-Wide Association Study, 030217 neurology & neurosurgery
Abstract

Malaria Genomic Epidemiology Network The high prevalence of sickle haemoglobin in Africa shows that malaria has been a major force for human evolutionary selection, but surprisingly few other polymorphisms have been proven to confer resistance to malaria in large epidemiological studies. To address this problem, we conducted a multi-centre genome-wide association study (GWAS) of life-threatening Plasmodium falciparum infection (severe malaria) in over 11,000 African children, with replication data in a further 14,000 individuals. Here we report a novel malaria resistance locus close to a cluster of genes encoding glycophorins that are receptors for erythrocyte invasion by P. falciparum. We identify a haplotype at this locus that provides 33% protection against severe malaria (odds ratio= 0.67, 95% confidence interval= 0.60-0.76, P value= 9.5× 10-11) and is linked to polymorphisms that have previously been shown to have features of ancient balancing selection, on the basis of haplotype sharing between humans and chimpanzees. Taken together with previous observations on the malaria-protective role of blood group O, these data reveal that two of the strongest GWAS signals for severe malaria lie in or close to genes encoding the glycosylated surface coat of the erythrocyte cell membrane, both within regions of the genome where it appears that evolution has maintained diversity for millions of years. These findings provide new insights into the host-parasite interactions that are critical in determining the outcome of malaria infection.

Published
2014

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