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14 results on '"Kwiatkowski, Dominic P"'

1. Pf7: an open dataset of Plasmodium falciparum genome variation in 20,000 worldwide samples

Author

MalariaGEN, Abdel Hamid, Muzamil Mahdi, Abdelraheem, Mohamed Hassan, Acheampong, Desmond Omane, Ahouidi, Ambroise, Ali, Mozam, Almagro-Garcia, Jacob, Amambua-Ngwa, Alfred, Amaratunga, Chanaki, Amenga-Etego, Lucas, Andagalu, Ben, Anderson, Tim, Andrianaranjaka, Voahangy, Aniebo, Ifeyinwa, Aninagyei, Enoch, Ansah, Felix, Ansah, Patrick O, Apinjoh, Tobias, Arnaldo, Paulo, Ashley, Elizabeth, Auburn, Sarah, Awandare, Gordon A, Ba, Hampate, Baraka, Vito, Barry, Alyssa, Bejon, Philip, Bertin, Gwladys I, Boni, Maciej F, Borrmann, Steffen, Bousema, Teun, Bouyou-Akotet, Marielle, Branch, Oralee, Bull, Peter C, Cheah, Huch, Chindavongsa, Keobouphaphone, Chookajorn, Thanat, Chotivanich, Kesinee, Claessens, Antoine, Conway, David J, Corredor, Vladimir, Courtier, Erin, Craig, Alister, D'Alessandro, Umberto, Dama, Souleymane, Day, Nicholas, Denis, Brigitte, Dhorda, Mehul, Diakite, Mahamadou, Djimde, Abdoulaye, Dolecek, Christiane, Dondorp, Arjen, Doumbia, Seydou, Drakeley, Chris, Drury, Eleanor, Duffy, Patrick, Echeverry, Diego F, Egwang, Thomas G, Enosse, Sonia Maria Mauricio, Erko, Berhanu, Fairhurst, Rick M, Faiz, Abdul, Fanello, Caterina A, Fleharty, Mark, Forbes, Matthew, Fukuda, Mark, Gamboa, Dionicia, Ghansah, Anita, Golassa, Lemu, Goncalves, Sonia, Harrison, GL Abby, Healy, Sara Anne, Hendry, Jason A, Hernandez-Koutoucheva, Anastasia, Hien, Tran Tinh, Hill, Catherine A, Hombhanje, Francis, Hott, Amanda, Htut, Ye, Hussein, Mazza, Imwong, Mallika, Ishengoma, Deus, Jackson, Scott A, Jacob, Chris G, Jeans, Julia, Johnson, Kimberly J, Kamaliddin, Claire, Kamau, Edwin, Keatley, Jon, Kochakarn, Theerarat, Konate, Drissa S, Konaté, Abibatou, Kone, Aminatou, Kwiatkowski, Dominic P, Kyaw, Myat P, Kyle, Dennis, Lawniczak, Mara, Lee, Samuel K, Lemnge, Martha, Lim, Pharath, Lon, Chanthap, Loua, Kovana M, Mandara, Celine I, Marfurt, Jutta, Marsh, Kevin, Maude, Richard James, Mayxay, Mayfong, Maïga-Ascofaré, Oumou, Miotto, Olivo, Mita, Toshihiro, Mobegi, Victor, Mohamed, Abdelrahim Osman, Mokuolu, Olugbenga A, Montgomery, Jaqui, Morang'a, Collins Misita, Mueller, Ivo, Murie, Kathryn, Newton, Paul N, Ngo Duc, Thang, Nguyen, Thuy, Nguyen, Thuy-Nhien, Nguyen Thi Kim, Tuyen, Nguyen Van, Hong, Noedl, Harald, Nosten, Francois, Noviyanti, Rintis, Ntui, Vincent Ntui-Njock, Nzila, Alexis, Ochola-Oyier, Lynette Isabella, Ocholla, Harold, Oduro, Abraham, Omedo, Irene, Onyamboko, Marie A, Ouedraogo, Jean-Bosco, Oyebola, Kolapo, Oyibo, Wellington Aghoghovwia, Pearson, Richard, Peshu, Norbert, Phyo, Aung P, Plowe, Christopher V, Price, Ric N, Pukrittayakamee, Sasithon, Quang, Huynh Hong, Randrianarivelojosia, Milijaona, Rayner, Julian C, Ringwald, Pascal, Rosanas-Urgell, Anna, Rovira-Vallbona, Eduard, Ruano-Rubio, Valentin, Ruiz, Lastenia, Saunders, David, Shayo, Alex, Siba, Peter, Simpson, Victoria J, Sissoko, Mahamadou S, Smith, Christen, Su, Xin-Zhuan, Sutherland, Colin, Takala-Harrison, Shannon, Talman, Arthur, Tavul, Livingstone, Thanh, Ngo Viet, Thathy, Vandana, Thu, Aung Myint, Toure, Mahamoudou, Tshefu, Antoinette, Verra, Federica, Vinetz, Joseph, Wellems, Thomas E, Wendler, Jason, White, Nicholas J, Whitton, Georgia, Yavo, William, Van Der Pluijm, Rob W, Amenga-Etego, Lucas [0000-0003-4468-0506], Anderson, Tim [0000-0002-0191-0204], Ansah, Patrick O [0000-0002-3214-5621], Ashley, Elizabeth [0000-0002-7620-4822], Ba, Hampate [0000-0002-9299-5775], Baraka, Vito [0000-0001-9694-9293], Bejon, Philip [0000-0002-2135-7549], Bertin, Gwladys I [0000-0002-2218-9591], Boni, Maciej F [0000-0002-0830-9630], Bousema, Teun [0000-0003-2666-094X], Chookajorn, Thanat [0000-0003-2876-6203], Claessens, Antoine [0000-0002-4277-0914], Conway, David J [0000-0002-8711-3037], Craig, Alister [0000-0003-0914-6164], D'Alessandro, Umberto [0000-0001-6341-5009], Day, Nicholas [0000-0003-2309-1171], Diakite, Mahamadou [0000-0002-4268-8857], Djimde, Abdoulaye [0000-0003-0062-2283], Dondorp, Arjen [0000-0001-5190-2395], Drakeley, Chris [0000-0003-4863-075X], Echeverry, Diego F [0000-0003-0301-4478], Erko, Berhanu [0000-0003-1685-752X], Faiz, Abdul [0000-0002-3460-7535], Fanello, Caterina A [0000-0003-1932-9562], Gamboa, Dionicia [0000-0002-1420-7729], Golassa, Lemu [0000-0002-1216-8711], Healy, Sara Anne [0000-0003-3078-6094], Ishengoma, Deus [0000-0003-2040-3416], Jackson, Scott A [0000-0002-3172-1607], Kamaliddin, Claire [0000-0001-8198-6235], Kamau, Edwin [0000-0002-5761-7883], Konate, Drissa S [0000-0002-4177-9642], Kwiatkowski, Dominic P [0000-0002-5023-0176], Kyle, Dennis [0000-0002-0238-965X], Lawniczak, Mara [0000-0002-3006-2080], Loua, Kovana M [0000-0003-0571-0944], Marsh, Kevin [0000-0001-8377-5466], Mayxay, Mayfong [0000-0002-6056-4516], Miotto, Olivo [0000-0001-8060-6771], Mita, Toshihiro [0000-0001-8180-2344], Mobegi, Victor [0000-0002-1962-5583], Morang'a, Collins Misita [0000-0002-6988-150X], Nguyen, Thuy-Nhien [0000-0002-4101-5706], Nosten, Francois [0000-0002-7951-0745], Ntui, Vincent Ntui-Njock [0000-0002-7532-9930], Oduro, Abraham [0000-0002-4191-7419], Onyamboko, Marie A [0000-0002-7501-5931], Ouedraogo, Jean-Bosco [0000-0003-0412-8733], Oyebola, Kolapo [0000-0002-1003-2570], Pearson, Richard [0000-0002-7386-3566], Phyo, Aung P [0000-0002-0383-9624], Price, Ric N [0000-0003-2000-2874], Rayner, Julian C [0000-0002-9835-1014], Rosanas-Urgell, Anna [0000-0002-0432-5203], Shayo, Alex [0000-0002-7099-8537], Su, Xin-Zhuan [0000-0003-3246-3248], Vinetz, Joseph [0000-0001-8344-2004], Wellems, Thomas E [0000-0003-3899-8454], and Apollo - University of Cambridge Repository

Subjects
data resource, plasmodium falciparum, genomics, malaria, genomic epidemiology
Abstract

We describe the MalariaGEN Pf7 data resource, the seventh release of Plasmodium falciparum genome variation data from the MalariaGEN network. It comprises over 20,000 samples from 82 partner studies in 33 countries, including several malaria endemic regions that were previously underrepresented. For the first time we include dried blood spot samples that were sequenced after selective whole genome amplification, necessitating new methods to genotype copy number variations. We identify a large number of newly emerging crt mutations in parts of Southeast Asia, and show examples of heterogeneities in patterns of drug resistance within Africa and within the Indian subcontinent. We describe the profile of variations in the C-terminal of the csp gene and relate this to the sequence used in the RTS,S and R21 malaria vaccines. Pf7 provides high-quality data on genotype calls for 6 million SNPs and short indels, analysis of large deletions that cause failure of rapid diagnostic tests, and systematic characterisation of six major drug resistance loci, all of which can be freely downloaded from the MalariaGEN website.

Published
2023

2. An open dataset of Plasmodium vivax genome variation in 1,895 worldwide samples

Author

Adam, Ishag, Alam, Mohammad Shafiul, Alemu, Sisay, Amaratunga, Chanaki, Amato, Roberto, Andrianaranjaka, Voahangy, Anstey, Nicholas M, Aseffa, Abraham, Ashley, Elizabeth, Assefa, Ashenafi, Auburn, Sarah, Barber, Bridget E, Barry, Alyssa, Batista Pereira, Dhelio, Cao, Jun, Chau, Nguyen Hoang, Chotivanich, Kesinee, Chu, Cindy, Dondorp, Arjen M, Drury, Eleanor, Echeverry, Diego F, Erko, Berhanu, Espino, Fe, Fairhurst, Rick, Faiz, Abdul, Fernanda Villegas, María, Gao, Qi, Golassa, Lemu, Goncalves, Sonia, Grigg, Matthew J, Hamedi, Yaghoob, Hien, Tran Tinh, Htut, Ye, Johnson, Kimberly J, Karunaweera, Nadira, Khan, Wasif, Krudsood, Srivicha, Kwiatkowski, Dominic P, Lacerda, Marcus, Ley, Benedikt, Lim, Pharath, Liu, Yaobao, Llanos-Cuentas, Alejandro, Lon, Chanthap, Lopera-Mesa, Tatiana, Marfurt, Jutta, Michon, Pascal, Miotto, Olivo, Mohammed, Rezika, Mueller, Ivo, Namaik-Larp, Chayadol, Newton, Paul N, Nguyen, Thuy-Nhien, Nosten, Francois, Noviyanti, Rintis, Pava, Zuleima, Pearson, Richard D, Petros, Beyene, Phyo, Aung P, Price, Ric N, Pukrittayakamee, Sasithon, Rahim, Awab Ghulam, Randrianarivelojosia, Milijaona, Rayner, Julian C, Rumaseb, Angela, Siegel, Sasha V, Simpson, Victoria J, Thriemer, Kamala, Tobon-Castano, Alberto, Trimarsanto, Hidayat, Urbano Ferreira, Marcelo, Vélez, Ivan D, Wangchuk, Sonam, Wellems, Thomas E, White, Nicholas J, William, Timothy, Yasnot, Maria F, Yilma, Daniel, Alam, Mohammad Shafiul [0000-0001-8330-5499], Ashley, Elizabeth [0000-0002-7620-4822], Barber, Bridget E [0000-0003-1066-7960], Batista Pereira, Dhelio [0000-0002-7761-5498], Chu, Cindy [0000-0001-9465-8214], Dondorp, Arjen M [0000-0001-5190-2395], Echeverry, Diego F [0000-0003-0301-4478], Espino, Fe [0000-0003-1690-1711], Faiz, Abdul [0000-0002-3460-7535], Golassa, Lemu [0000-0002-1216-8711], Grigg, Matthew J [0000-0001-9914-8352], Karunaweera, Nadira [0000-0003-3985-1817], Kwiatkowski, Dominic P [0000-0002-5023-0176], Ley, Benedikt [0000-0002-5734-0845], Miotto, Olivo [0000-0001-8060-6771], Nguyen, Thuy-Nhien [0000-0002-4101-5706], Nosten, Francois [0000-0002-7951-0745], Pearson, Richard D [0000-0002-7386-3566], Phyo, Aung P [0000-0002-0383-9624], Price, Ric N [0000-0003-2000-2874], Rayner, Julian C [0000-0002-9835-1014], Urbano Ferreira, Marcelo [0000-0002-5293-9090], Wellems, Thomas E [0000-0003-3899-8454], Yasnot, Maria F [0000-0001-8081-4212], Yilma, Daniel [0000-0001-6058-2696], and Apollo - University of Cambridge Repository

Subjects
parasitic diseases, Genomics, Genomic Epidemiology, Plasmodium vivax, Malaria, Data Resource
Abstract

This report describes the MalariaGEN Pv4 dataset, a new release of curated genome variation data on 1,895 samples of Plasmodium vivax collected at 88 worldwide locations between 2001 and 2017. It includes 1,370 new samples contributed by MalariaGEN and VivaxGEN partner studies in addition to previously published samples from these and other sources. We provide genotype calls at over 4.5 million variable positions including over 3 million single nucleotide polymorphisms (SNPs), as well as short indels and tandem duplications. This enlarged dataset highlights major compartments of parasite population structure, with clear differentiation between Africa, Latin America, Oceania, Western Asia and different parts of Southeast Asia. Each sample has been classified for drug resistance to sulfadoxine, pyrimethamine and mefloquine based on known markers at the dhfr, dhps and mdr1 loci. The prevalence of all of these resistance markers was much higher in Southeast Asia and Oceania than elsewhere. This open resource of analysis-ready genome variation data from the MalariaGEN and VivaxGEN networks is driven by our collective goal to advance research into the complex biology of P. vivax and to accelerate genomic surveillance for malaria control and elimination.

Published
2022

4. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Author

Burton, Paul R., Clayton, David G., Cardon, Lon R., Craddock, Nick, Deloukas, Panos, Duncanson, Audrey, Kwiatkowski, Dominic P., McCarthy, Mark I., Ouwehand, Willem H., Samani, Nilesh J., Todd, John A., Donnelly, Peter, Barrett, Jeffrey C., Davison, Dan, Easton, Doug, Evans, David, Leung, Hin-Tak, Marchini, Jonathan L., Morris, Andrew P., Spencer, Chris C. A., Tobin, Martin D., Attwood, Antony P., Boorman, James P., Cant, Barbara, Everson, Ursula, Hussey, Judith M., Jolley, Jennifer D., Knight, Alexandra S., Koch, Kerstin, Meech, Elizabeth, Nutland, Sarah, Prowse, Christopher V., Stevens, Helen E., Taylor, Niall C., Walters, Graham R., Walker, Neil M., Watkins, Nicholas A., Winzer, Thilo, Jones, Richard W., McArdle, Wendy L., Ring, Susan M., Strachan, David P., Pembrey, Marcus, Breen, Gerome, St Clair, David, Caesar, Sian, Gordon-Smith, Katherine, Jones, Lisa, Fraser, Christine, Green, Elaine K., Grozeva, Detelina, Hamshere, Marian L., Holmans, Peter A., Jones, Ian R., Kirov, George, Moskvina, Valentina, Nikolov, Ivan, O'Donovan, Michael C., Owen, Michael J., Collier, David A., Elkin, Amanda, Farmer, Anne, Williamson, Richard, McGuffin, Peter, Young, Allan H., Ferrier, I. Nicol, Ball, Stephen G., Balmforth, Anthony J., Barrett, Jennifer H., Bishop, D. Timothy, Iles, Mark M., Maqbool, Azhar, Yuldasheva, Nadira, Hall, Alistair S., Braund, Peter S., Dixon, Richard J., Mangino, Massimo, Stevens, Suzanne, Thompson, John R., Bredin, Francesca, Tremelling, Mark, Parkes, Miles, Drummond, Hazel, Lees, Charles W., Nimmo, Elaine R., Satsangi, Jack, Fisher, Sheila A., Forbes, Alastair, Lewis, Cathryn M., Onnie, Clive M., Prescott, Natalie J., Sanderson, Jeremy, Mathew, Christopher G., Barbour, Jamie, Mohiuddin, M. Khalid, Todhunter, Catherine E., Mansfield, John C., Ahmad, Tariq, Cummings, Fraser R., Jewell, Derek P., Webster, John, Brown, Morris J., Lathrop, G. Mark, Connell, John, Dominiczak, Anna, Marcano, Carolina A. Braga, Burke, Beverley, Dobson, Richard, Gungadoo, Johannie, Lee, Kate L., Munroe, Patricia B., Newhouse, Stephen J., Onipinla, Abiodun, Wallace, Chris, Xue, Mingzhan, Caulfield, Mark, Farrall, Martin, Barton, Anne, and Genomics (BRAGGS), The Biologics in RA Genetics, Bruce, Ian N., Donovan, Hannah, Eyre, Steve, Gilbert, Paul D., Hider, Samantha L., Hinks, Anne M., John, Sally L., Potter, Catherine, Silman, Alan J., Symmons, Deborah P. M., Thomson, Wendy, Worthington, Jane, Dunger, David B., Widmer, Barry, Frayling, Timothy M., Freathy, Rachel M., Lango, Hana, Perry, John R. B., Shields, Beverley M., Weedon, Michael N., Hattersley, Andrew T., Hitman, Graham A., Walker, Mark, Elliott, Kate S., Groves, Christopher J., Lindgren, Cecilia M., Rayner, Nigel W., Timpson, Nicholas J., Zeggini, Eleftheria, Newport, Melanie, Sirugo, Giorgio, Lyons, Emily, Vannberg, Fredrik, Hill, Adrian V. S., Bradbury, Linda A., Farrar, Claire, Pointon, Jennifer J., Wordsworth, Paul, Brown, Matthew A., Franklyn, Jayne A., Heward, Joanne M., Simmonds, Matthew J., Gough, Stephen C. L., Seal, Sheila, Susceptibility Collaboration (UK), Breast Cancer, Stratton, Michael R., Rahman, Nazneen, Ban, Maria, Goris, An, Sawcer, Stephen J., Compston, Alastair, Conway, David, Jallow, Muminatou, Rockett, Kirk A., Bumpstead, Suzannah J., Chaney, Amy, Downes, Kate, Ghori, Mohammed J. R., Gwilliam, Rhian, Hunt, Sarah E., Inouye, Michael, Keniry, Andrew, King, Emma, McGinnis, Ralph, Potter, Simon, Ravindrarajah, Rathi, Whittaker, Pamela, Widden, Claire, Withers, David, Cardin, Niall J., Ferreira, Teresa, Pereira-Gale, Joanne, Hallgrimsdóttir, Ingileif B., Howie, Bryan N., Su, Zhan, Teo, Yik Ying, Vukcevic, Damjan, Bentley, David, and Compston, Alistair

Subjects
Genetic Markers, Bipolar Disorder, Population, Genome-wide association study, Single-nucleotide polymorphism, Coronary Artery Disease, Disease, Biology, Population stratification, Article, Arthritis, Rheumatoid, Crohn Disease, Gene Frequency, Diabetes Mellitus, Chromosomes, Human, Humans, Genetic Predisposition to Disease, education, Allele frequency, Genetics, education.field_of_study, Multidisciplinary, Geography, Genome, Human, CDKN2BAS, United Kingdom, Human genetics, C431 Medical Genetics, Genetics, Population, Case-Control Studies, Hypertension
Abstract

There is increasing evidence that genome-wide association ( GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study ( using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined similar to 2,000 individuals for each of 7 major diseases and a shared set of similar to 3,000 controls. Case-control comparisons identified 24 independent association signals at P < 5 X 10(-7): 1 in bipolar disorder, 1 in coronary artery disease, 9 in Crohn's disease, 3 in rheumatoid arthritis, 7 in type 1 diabetes and 3 in type 2 diabetes. On the basis of prior findings and replication studies thus-far completed, almost all of these signals reflect genuine susceptibility effects. We observed association at many previously identified loci, and found compelling evidence that some loci confer risk for more than one of the diseases studied. Across all diseases, we identified a large number of further signals ( including 58 loci with single-point P values between 10(-5) and 5 X 10(-7)) likely to yield additional susceptibility loci. The importance of appropriately large samples was confirmed by the modest effect sizes observed at most loci identified. This study thus represents a thorough validation of the GWA approach. It has also demonstrated that careful use of a shared control group represents a safe and effective approach to GWA analyses of multiple disease phenotypes; has generated a genome-wide genotype database for future studies of common diseases in the British population; and shown that, provided individuals with non-European ancestry are excluded, the extent of population stratification in the British population is generally modest. Our findings offer new avenues for exploring the pathophysiology of these important disorders. We anticipate that our data, results and software, which will be widely available to other investigators, will provide a powerful resource for human genetics research.

Published
2007

5. Genomic epidemiology of the current wave of artemisinin resistant malaria

Author

Amato, Roberto, Miotto, Olivo, Woodrow, Charles, Almagro-Garcia, Jacob, Sinha, Ipsita, Campino, Susana, Mead, Daniel, Drury, Eleanor, Kekre, Mihir, Sanders, Mandy, Amambua-Ngwa, Alfred, Amaratunga, Chanaki, Amenga-Etego, Lucas, Anderson, Tim JC, Andrianaranjaka, Voahangy, Apinjoh, Tobias, Ashley, Elizabeth, Auburn, Sarah, Awandare, Gordon A, Baraka, Vito, Barry, Alyssa, Boni, Maciej F, Borrmann, Steffen, Bousema, Teun, Branch, Oralee, Bull, Peter C, Chotivanich, Kesinee, Conway, David J, Craig, Alister, Day, Nicholas P, Djimdé, Abdoulaye, Dolecek, Christiane, Dondorp, Arjen M, Drakeley, Chris, Duffy, Patrick, Echeverri-Garcia, Diego F, Egwang, Thomas G, Fairhurst, Rick M, Faiz, Md. Abul, Fanello, Caterina I, Hien, Tran Tinh, Hodgson, Abraham, Imwong, Mallika, Ishengoma, Deus, Lim, Pharath, Lon, Chanthap, Marfurt, Jutta, Marsh, Kevin, Mayxay, Mayfong, Mobegi, Victor, Mokuolu, Olugbenga, Montgomery, Jacqui, Mueller, Ivo, Kyaw, Myat Phone, Newton, Paul N, Nosten, Francois, Noviyanti, Rintis, Nzila, Alexis, Ocholla, Harold, Oduro, Abraham, Onyamboko, Marie, Ouedraogo, Jean-Bosco, Phyo, Aung Pyae, Plowe, Christopher V, Price, Ric N, Pukrittayakamee, Sasithon, Randrianarivelojosia, Milijaona, Ringwald, Pascal, Ruiz, Lastenia, Saunders, David, Shayo, Alex, Siba, Peter, Takala-Harrison, Shannon, Thanh, Thuy-Nhien Nguyen, Thathy, Vandana, Verra, Federica, White, Nicholas J, Htut, Ye, Cornelius, Victoria J, Giacomantonio, Rachel, Muddyman, Dawn, Henrichs, Christa, Malangone, Cinzia, Jyothi, Dushyanth, Pearson, Richard D, Rayner, Julian C, McVean, Gilean, Rockett, Kirk, Miles, Alistair, Vauterin, Paul, Jeffery, Ben, Manske, Magnus, Stalker, Jim, MacInnis, Bronwyn, and Kwiatkowski, Dominic P

Subjects
0303 health sciences, medicine.medical_specialty, biology, Resistance (ecology), business.industry, 030231 tropical medicine, Plasmodium falciparum, medicine.disease, biology.organism_classification, 3. Good health, Biotechnology, 03 medical and health sciences, 0302 clinical medicine, Public health surveillance, Evolutionary biology, parasitic diseases, Epidemiology, medicine, Artemisinin, Current wave, Selective sweep, business, Malaria, 030304 developmental biology, medicine.drug
Abstract

Artemisinin resistant Plasmodium falciparum is advancing across Southeast Asia in a soft selective sweep involving at least 20 independent kelch13 mutations. In a large global survey, we find that kelch13 mutations which cause resistance in Southeast Asia are present at low frequency in Africa. We show that African kelch13 mutations have originated locally, and that kelch13 shows a normal variation pattern relative to other genes in Africa, whereas in Southeast Asia there is a great excess of non‐synonymous mutations, many of which cause radical amino‐acid changes. Thus, kelch13 is not currently undergoing strong selection in Africa, despite a deep reservoir of standing variation that could potentially allow resistance to emerge rapidly. The practical implications are that public health surveillance for artemisinin resistance should not rely on kelch13 data alone, and interventions to prevent resistance must account for local evolutionary conditions, shown by genomic epidemiology to differ greatly between geographical regions.

Published
2015

6. 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

7. The ferroportin Q248H mutation protects from anemia, but not malaria or bacteremia

Author

Muriuki, John Muthii, Mentzer, Alexander J, Band, Gavin, Gilchrist, James J, Carstensen, Tommy, Lule, Swaib A, Goheen, Morgan M, Joof, Fatou, Kimita, Wandia, Mogire, Reagan, Cutland, Clare L, Diarra, Amidou, Rautanen, Anna, Pomilla, Cristina, Gurdasani, Deepti, Rockett, Kirk, Mturi, Neema, Ndungu, Francis M, Scott, J Anthony G, Sirima, Sodiomon B, Morovat, Alireza, Prentice, Andrew M, Madhi, Shabir A, Webb, Emily L, Elliott, Alison M, Bejon, Philip, Sandhu, Manjinder S, Hill, Adrian VS, Kwiatkowski, Dominic P, Williams, Thomas N, Cerami, Carla, and Atkinson, Sarah H

Subjects
Male, Erythrocytes, Iron, Infant, Newborn, Mutation, Missense, Infant, Anemia, Bacteremia, Iron Deficiencies, 3. Good health, Malaria, Amino Acid Substitution, parasitic diseases, Humans, Female, Cation Transport Proteins
Abstract

Iron acquisition is critical for life. Ferroportin (FPN) exports iron from mature erythrocytes, and deletion of the Fpn gene results in hemolytic anemia and increased fatality in malaria-infected mice. The FPN Q248H mutation (glutamine to histidine at position 248) renders FPN partially resistant to hepcidin-induced degradation and was associated with protection from malaria in human studies of limited size. Using data from cohorts including over 18,000 African children, we show that the Q248H mutation is associated with modest protection against anemia, hemolysis, and iron deficiency, but we found little evidence of protection against severe malaria or bacteremia. We additionally observed no excess Plasmodium growth in Q248H erythrocytes ex vivo, nor evidence of selection driven by malaria exposure, suggesting that the Q248H mutation does not protect from malaria and is unlikely to deprive malaria parasites of iron essential for their growth.

8. Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data

Author

Romagnoni, Alberto, Jégou, Simon, Van Steen, Kristel, Wainrib, Gilles, Hugot, Jean-Pierre, Peyrin-Biroulet, Laurent, Chamaillard, Mathias, Colombel, Jean-Frederick, Cottone, Mario, D’Amato, Mauro, D’Incà, Renata, Halfvarson, Jonas, Henderson, Paul, Karban, Amir, Kennedy, Nicholas A., Khan, Mohammed Azam, Lémann, Marc, Levine, Arie, Massey, Dunecan, Milla, Monica, Ng, Sok Meng Evelyn, Oikonomou, Ioannis, Peeters, Harald, Proctor, Deborah D., Rahier, Jean-Francois, Rutgeerts, Paul, Seibold, Frank, Stronati, Laura, Taylor, Kirstin M., Törkvist, Leif, Ublick, Kullak, Van Limbergen, Johan, Van Gossum, Andre, Vatn, Morten H., Zhang, Hu, Zhang, Wei, Andrews, Jane M., Bampton, Peter A., Barclay, Murray, Florin, Timothy H., Gearry, Richard, Krishnaprasad, Krupa, Lawrance, Ian C., Mahy, Gillian, Montgomery, Grant W., Radford-Smith, Graham, Roberts, Rebecca L., Simms, Lisa A., Hanigan, Katherine, Croft, Anthony, Amininijad, Leila, Cleynen, Isabelle, Dewit, Olivier, Franchimont, Denis, Georges, Michel, Laukens, Debby, Theatre, Emilie, Van Gossum, André, Vermeire, Severine, Aumais, Guy, Baidoo, Leonard, Barrie, Arthur M., Beck, Karen, Bernard, Edmond-Jean, Binion, David G., Bitton, Alain, Brant, Steve R., Cho, Judy H., Cohen, Albert, Croitoru, Kenneth, Daly, Mark J., Datta, Lisa W., Deslandres, Colette, Duerr, Richard H., Dutridge, Debra, Ferguson, John, Fultz, Joann, Goyette, Philippe, Greenberg, Gordon R., Haritunians, Talin, Jobin, Gilles, Katz, Seymour, Lahaie, Raymond G., McGovern, Dermot P., Nelson, Linda, Ng, Sok Meng, Ning, Kaida, Paré, Pierre, Regueiro, Miguel D., Rioux, John D., Ruggiero, Elizabeth, Schumm, L. Philip, Schwartz, Marc, Scott, Regan, Sharma, Yashoda, Silverberg, Mark S., Spears, Denise, Steinhart, A. Hillary, Stempak, Joanne M., Swoger, Jason M., Tsagarelis, Constantina, Zhang, Clarence, Zhao, Hongyu, Aerts, Jan, Ahmad, Tariq, Arbury, Hazel, Attwood, Anthony, Auton, Adam, Ball, Stephen G., Balmforth, Anthony J., Barnes, Chris, Barrett, Jeffrey C., Barroso, Inês, Barton, Anne, Bennett, Amanda J., Bhaskar, Sanjeev, Blaszczyk, Katarzyna, Bowes, John, Brand, Oliver J., Braund, Peter S., Bredin, Francesca, Breen, Gerome, Brown, Morris J., Bruce, Ian N., Bull, Jaswinder, Burren, Oliver S., Burton, John, Byrnes, Jake, Caesar, Sian, Cardin, Niall, Clee, Chris M., Coffey, Alison J., MC Connell, John, Conrad, Donald F., Cooper, Jason D., Dominiczak, Anna F., Downes, Kate, Drummond, Hazel E., Dudakia, Darshna, Dunham, Andrew, Ebbs, Bernadette, Eccles, Diana, Edkins, Sarah, Edwards, Cathryn, Elliot, Anna, Emery, Paul, Evans, David M., Evans, Gareth, Eyre, Steve, Farmer, Anne, Ferrier, I. Nicol, Flynn, Edward, Forbes, Alistair, Forty, Liz, Franklyn, Jayne A., Frayling, Timothy M., Freathy, Rachel M., Giannoulatou, Eleni, Gibbs, Polly, Gilbert, Paul, Gordon-Smith, Katherine, Gray, Emma, Green, Elaine, Groves, Chris J., Grozeva, Detelina, Gwilliam, Rhian, Hall, Anita, Hammond, Naomi, Hardy, Matt, Harrison, Pile, Hassanali, Neelam, Hebaishi, Husam, Hines, Sarah, Hinks, Anne, Hitman, Graham A., Hocking, Lynne, Holmes, Chris, Howard, Eleanor, Howard, Philip, Howson, Joanna M. M., Hughes, Debbie, Hunt, Sarah, Isaacs, John D., Jain, Mahim, Jewell, Derek P., Johnson, Toby, Jolley, Jennifer D., Jones, Ian R., Jones, Lisa A., Kirov, George, Langford, Cordelia F., Lango-Allen, Hana, Lathrop, G. Mark, Lee, James, Lee, Kate L., Lees, Charlie, Lewis, Kevin, Lindgren, Cecilia M., Maisuria-Armer, Meeta, Maller, Julian, Mansfield, John, Marchini, Jonathan L., Martin, Paul, Massey, Dunecan CO, McArdle, Wendy L., McGuffin, Peter, McLay, Kirsten E., McVean, Gil, Mentzer, Alex, Mimmack, Michael L., Morgan, Ann E., Morris, Andrew P., Mowat, Craig, Munroe, Patricia B., Myers, Simon, Newman, William, Nimmo, Elaine R., O’Donovan, Michael C., Onipinla, Abiodun, Ovington, Nigel R., Owen, Michael J., Palin, Kimmo, Palotie, Aarno, Parnell, Kirstie, Pearson, Richard, Pernet, David, Perry, John RB, Phillips, Anne, Plagnol, Vincent, Prescott, Natalie J., Prokopenko, Inga, Quail, Michael A., Rafelt, Suzanne, Rayner, Nigel W., Reid, David M., Renwick, Anthony, Ring, Susan M., Robertson, Neil, Robson, Samuel, Russell, Ellie, Clair, David St, Sambrook, Jennifer G., Sanderson, Jeremy D., Sawcer, Stephen J., Schuilenburg, Helen, Scott, Carol E., Scott, Richard, Seal, Sheila, Shaw-Hawkins, Sue, Shields, Beverley M., Simmonds, Matthew J., Smyth, Debbie J., Somaskantharajah, Elilan, Spanova, Katarina, Steer, Sophia, Stephens, Jonathan, Stevens, Helen E., Stirrups, Kathy, Stone, Millicent A., Strachan, David P., Su, Zhan, Symmons, Deborah P. M., Thompson, John R., Thomson, Wendy, Tobin, Martin D., Travers, Mary E., Turnbull, Clare, Vukcevic, Damjan, Wain, Louise V., Walker, Mark, Walker, Neil M., Wallace, Chris, Warren-Perry, Margaret, Watkins, Nicholas A., Webster, John, Weedon, Michael N., Wilson, Anthony G., Woodburn, Matthew, Wordsworth, B. Paul, Yau, Chris, Young, Allan H., Zeggini, Eleftheria, Brown, Matthew A., Burton, Paul R., Caulfield, Mark J., Compston, Alastair, Farrall, Martin, Gough, Stephen C. L., Hall, Alistair S., Hattersley, Andrew T., Hill, Adrian V. S., Mathew, Christopher G., Pembrey, Marcus, Satsangi, Jack, Stratton, Michael R., Worthington, Jane, Hurles, Matthew E., Duncanson, Audrey, Ouwehand, Willem H., Parkes, Miles, Rahman, Nazneen, Todd, John A., Samani, Nilesh J., Kwiatkowski, Dominic P., McCarthy, Mark I., Craddock, Nick, Deloukas, Panos, Donnelly, Peter, Blackwell, Jenefer M., Bramon, Elvira, Casas, Juan P., Corvin, Aiden, Jankowski, Janusz, Markus, Hugh S., Palmer, Colin NA, Plomin, Robert, Rautanen, Anna, Trembath, Richard C., Viswanathan, Ananth C., Wood, Nicholas W., Spencer, Chris C. A., Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Pirinen, Matti, Strange, Amy, Blackburn, Hannah, Bumpstead, Suzannah J., Dronov, Serge, Gillman, Matthew, Jayakumar, Alagurevathi, McCann, Owen T., Liddle, Jennifer, Potter, Simon C., Ravindrarajah, Radhi, Ricketts, Michelle, Waller, Matthew, Weston, Paul, Widaa, Sara, and Whittaker, Pamela

Subjects
692/4020/1503/257/1402, 45, 692/308/2056, 45/43, article, 129, 3. Good health
Abstract

Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural networks (NN). The main score used to compare the methods was the Area Under the ROC Curve (AUC) statistics. The impact of quality control (QC), imputing and coding methods on LR results showed that QC methods and imputation of missing genotypes may artificially increase the scores. At the opposite, neither the patient/control ratio nor marker preselection or coding strategies significantly affected the results. LR methods, including Lasso, Ridge and ElasticNet provided similar results with a maximum AUC of 0.80. GBT methods like XGBoost, LightGBM and CatBoost, together with dense NN with one or more hidden layers, provided similar AUC values, suggesting limited epistatic effects in the genetic architecture of the trait. ML methods detected near all the genetic variants previously identified by GWAS among the best predictors plus additional predictors with lower effects. The robustness and complementarity of the different methods are also studied. Compared to LR, non-linear models such as GBT or NN may provide robust complementary approaches to identify and classify genetic markers.

9. Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England

Author

Volz, Erik, Mishra, Swapnil, Chand, Meera, Barrett, Jeffrey C, Johnson, Robert, Geidelberg, Lily, Hinsley, Wes R, Laydon, Daniel J, Dabrera, Gavin, O'Toole, Áine, Amato, Robert, Ragonnet-Cronin, Manon, Harrison, Ian, Jackson, Ben, Ariani, Cristina V, Boyd, Olivia, Loman, Nicholas J, McCrone, John T, Gonçalves, Sónia, Jorgensen, David, Myers, Richard, Hill, Verity, Jackson, David K, Gaythorpe, Katy, Groves, Natalie, Sillitoe, John, Kwiatkowski, Dominic P, COVID-19 Genomics UK (COG-UK) Consortium, Flaxman, Seth, Ratmann, Oliver, Bhatt, Samir, Hopkins, Susan, Gandy, Axel, Rambaut, Andrew, and Ferguson, Neil M

Subjects
Adult, Aged, 80 and over, Time Factors, Adolescent, SARS-CoV-2, Basic Reproduction Number, Infant, Newborn, COVID-19, Infant, Genome, Viral, Middle Aged, 3. Good health, Evolution, Molecular, Young Adult, Age Distribution, England, Child, Preschool, Spike Glycoprotein, Coronavirus, Humans, Child, Phylogeny, Aged
Abstract

The SARS-CoV-2 lineage B.1.1.7, designated variant of concern (VOC) 202012/01 by Public Health England1, was first identified in the UK in late summer to early autumn 20202. Whole-genome SARS-CoV-2 sequence data collected from community-based diagnostic testing for COVID-19 show an extremely rapid expansion of the B.1.1.7 lineage during autumn 2020, suggesting that it has a selective advantage. Here we show that changes in VOC frequency inferred from genetic data correspond closely to changes inferred by S gene target failures (SGTF) in community-based diagnostic PCR testing. Analysis of trends in SGTF and non-SGTF case numbers in local areas across England shows that B.1.1.7 has higher transmissibility than non-VOC lineages, even if it has a different latent period or generation time. The SGTF data indicate a transient shift in the age composition of reported cases, with cases of B.1.1.7 including a larger share of under 20-year-olds than non-VOC cases. We estimated time-varying reproduction numbers for B.1.1.7 and co-circulating lineages using SGTF and genomic data. The best-supported models did not indicate a substantial difference in VOC transmissibility among different age groups, but all analyses agreed that B.1.1.7 has a substantial transmission advantage over other lineages, with a 50% to 100% higher reproduction number.

11. A molecular barcode and web-based data analysis tool to identify imported Plasmodium vivax malaria

Author

Hidayat Trimarsanto, Roberto Amato, Richard D. Pearson, Edwin Sutanto, Rintis Noviyanti, Leily Trianty, Jutta Marfurt, Zuleima Pava, Diego F. Echeverry, Tatiana M. Lopera-Mesa, Lidia M. Montenegro, Alberto Tobón-Castaño, Matthew J. Grigg, Bridget Barber, Timothy William, Nicholas M. Anstey, Sisay Getachew, Beyene Petros, Abraham Aseffa, Ashenafi Assefa, Awab G. Rahim, Nguyen H. Chau, Tran T. Hien, Mohammad S. Alam, Wasif A. Khan, Benedikt Ley, Kamala Thriemer, Sonam Wangchuck, Yaghoob Hamedi, Ishag Adam, Yaobao Liu, Qi Gao, Kanlaya Sriprawat, Marcelo U. Ferreira, Moses Laman, Alyssa Barry, Ivo Mueller, Marcus V. G. Lacerda, Alejandro Llanos-Cuentas, Srivicha Krudsood, Chanthap Lon, Rezika Mohammed, Daniel Yilma, Dhelio B. Pereira, Fe E. J. Espino, Cindy S. Chu, Iván D. Vélez, Chayadol Namaik-larp, Maria F. Villegas, Justin A. Green, Gavin Koh, Julian C. Rayner, Eleanor Drury, Sónia Gonçalves, Victoria Simpson, Olivo Miotto, Alistair Miles, Nicholas J. White, Francois Nosten, Dominic P. Kwiatkowski, Ric N. Price, Sarah Auburn, Pearson, Richard D [0000-0002-7386-3566], Sutanto, Edwin [0000-0002-2997-4648], Marfurt, Jutta [0000-0002-3846-0825], Echeverry, Diego F [0000-0003-0301-4478], Tobón-Castaño, Alberto [0000-0002-1671-2649], Grigg, Matthew J [0000-0001-9914-8352], Alam, Mohammad S [0000-0001-8330-5499], Khan, Wasif A [0000-0002-7650-8068], Ley, Benedikt [0000-0002-5734-0845], Mueller, Ivo [0000-0001-6554-6889], Lacerda, Marcus VG [0000-0003-3374-9985], Pereira, Dhelio B [0000-0002-7761-5498], Espino, Fe EJ [0000-0003-1690-1711], Koh, Gavin [0000-0002-7336-1566], Rayner, Julian C [0000-0002-9835-1014], Drury, Eleanor [0000-0002-9887-6961], Miotto, Olivo [0000-0001-8060-6771], Nosten, Francois [0000-0002-7951-0745], Kwiatkowski, Dominic P [0000-0002-5023-0176], Price, Ric N [0000-0003-2000-2874], Auburn, Sarah [0000-0002-4638-536X], and Apollo - University of Cambridge Repository

Subjects
Likelihood Functions, Internet, Molecular medicine, 45, Epidemiology, 692/308/2056, article, Medicine (miscellaneous), 631/114/1305, General Biochemistry, Genetics and Molecular Biology, 692/4017, Malaria, Genetics research, Machine learning, Malaria, Vivax, 692/699/255/1629, Humans, PLASMODIUM, 692/308/174, Plasmodium vivax, General Agricultural and Biological Sciences
Abstract

Funder: HT was supported by a Charles Darwin University International PhD Scholarship (CDIPS), Funder: Malaysian Ministry of Health (BP00500420), Traditionally, patient travel history has been used to distinguish imported from autochthonous malaria cases, but the dormant liver stages of Plasmodium vivax confound this approach. Molecular tools offer an alternative method to identify, and map imported cases. Using machine learning approaches incorporating hierarchical fixation index and decision tree analyses applied to 799 P. vivax genomes from 21 countries, we identified 33-SNP, 50-SNP and 55-SNP barcodes (GEO33, GEO50 and GEO55), with high capacity to predict the infection's country of origin. The Matthews correlation coefficient (MCC) for an existing, commonly applied 38-SNP barcode (BR38) exceeded 0.80 in 62% countries. The GEO panels outperformed BR38, with median MCCs > 0.80 in 90% countries at GEO33, and 95% at GEO50 and GEO55. An online, open-access, likelihood-based classifier framework was established to support data analysis (vivaxGEN-geo). The SNP selection and classifier methods can be readily amended for other use cases to support malaria control programs.

Published
2022

12. Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England

Author

Daniel Mair, Adrian Signell, Daniel Laydon, Nadua Bayzid, Clare M McCann, Flavia Flaviani, Thomas Connor, Samir Bhatt, Catherine Moore, Dr Benjamin Lindsey, Malte Pinckert, Jane Masoli, Rachel Blacow, Jacqui Prieto, Ian Harrison, Scott Thurston, Lance Turtle, Thushan De Silva, Gregory Young, Natalie Groves, Andrew Nelson, Angie Lackenby, Lily Geidelberg, Mili Estee Torok, Brendan Payne, Katy Gaythorpe, Sonia Goncalves, Ewan Harrison, Andrew Rambaut, Angela Beckett, David Partridge, Swapnil Mishra, Dimitris Grammatopoulos, Judith Breuer, Jenna Nichols, Erik Volz, Sharon Glaysher, Harry David Wilson, Jack Lee, Marta Gallis, Christophe Fraser, Susan Hopkins, Patrick McClure, Derrick Crook, Juan Ledesma, Theocharis Tsoleridis, Natasha Palmalux, Matthew Dorman, Helen Lowe, Kordo Saeed, Oliver Ratmann, Darren Smith, Gilberto Betancor Quintana, Alan McNally, Matthew Bashton, Steven Rudder, Dennis Wang, Joseph Chappell, Elias Allara, Volz, Erik [0000-0001-6268-8937], Mishra, Swapnil [0000-0002-8759-5902], Geidelberg, Lily [0000-0002-8057-1844], Laydon, Daniel J [0000-0003-4270-3321], Jackson, Ben [0000-0002-9981-0649], Gaythorpe, Katy [0000-0003-3734-9081], Kwiatkowski, Dominic P [0000-0002-5023-0176], Flaxman, Seth [0000-0002-2477-4217], Gandy, Axel [0000-0002-6777-0451], Rambaut, Andrew [0000-0003-4337-3707], Ferguson, Neil M [0000-0002-1154-8093], Apollo - University of Cambridge Repository, Medical Research Council, Bill & Melinda Gates Foundation, and Medical Research Council (MRC)

Subjects
The COVID-19 Genomics UK (COG-UK) consortium, Adult, 0301 basic medicine, Time Factors, Adolescent, General Science & Technology, Lineage (evolution), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Basic Reproduction Number, Population genetics, Genome, Viral, Biology, law.invention, Evolution, Molecular, Young Adult, 03 medical and health sciences, Age Distribution, 0302 clinical medicine, law, Phylogenetics, Humans, 030212 general & internal medicine, Child, Phylogeny, Aged, Aged, 80 and over, COVID-19 Genomics UK (COG-UK) consortium, Science & Technology, Multidisciplinary, Generation time, SARS-CoV-2, Infant, Newborn, COVID-19, Infant, Middle Aged, Transmissibility (vibration), 3. Good health, Multidisciplinary Sciences, 030104 developmental biology, Transmission (mechanics), England, Evolutionary biology, Child, Preschool, Spike Glycoprotein, Coronavirus, Science & Technology - Other Topics, Basic reproduction number
Abstract

The SARS-CoV-2 lineage B.1.1.7, designated variant of concern (VOC) 202012/01 by Public Health England1, was first identified in the UK in late summer to early autumn 20202. Whole-genome SARS-CoV-2 sequence data collected from community-based diagnostic testing for COVID-19 show an extremely rapid expansion of the B.1.1.7 lineage during autumn 2020, suggesting that it has a selective advantage. Here we show that changes in VOC frequency inferred from genetic data correspond closely to changes inferred by S gene target failures (SGTF) in community-based diagnostic PCR testing. Analysis of trends in SGTF and non-SGTF case numbers in local areas across England shows that B.1.1.7 has higher transmissibility than non-VOC lineages, even if it has a different latent period or generation time. The SGTF data indicate a transient shift in the age composition of reported cases, with cases of B.1.1.7 including a larger share of under 20-year-olds than non-VOC cases. We estimated time-varying reproduction numbers for B.1.1.7 and co-circulating lineages using SGTF and genomic data. The best-supported models did not indicate a substantial difference in VOC transmissibility among different age groups, but all analyses agreed that B.1.1.7 has a substantial transmission advantage over other lineages, with a 50% to 100% higher reproduction number.

Published
2021

13. The ferroportin Q248H mutation protects from anemia, but not malaria or bacteremia

Author

Deepti Gurdasani, James J. Gilchrist, Emily L. Webb, Sodiomon B. Sirima, Thomas N. Williams, Cristina Pomilla, J. Anthony G. Scott, Alison M. Elliott, Dominic P. Kwiatkowski, Anna Rautanen, Swaib A. Lule, Wandia Kimita, Fatou Joof, Reagan M. Mogire, Francis M. Ndungu, Alexander J. Mentzer, Amidou Diarra, Shabir A. Madhi, Philip Bejon, Neema Mturi, Sarah H. Atkinson, Tommy Carstensen, Morgan M. Goheen, Carla Cerami, Adrian V. S. Hill, Alireza Morovat, Kirk A. Rockett, Manjinder S. Sandhu, Andrew M. Prentice, Clare L. Cutland, John Muthii Muriuki, Gavin Band, Muriuki, John Muthii [0000-0003-4369-9547], Mentzer, Alexander J [0000-0002-4502-2209], Band, Gavin [0000-0002-1710-9024], Gilchrist, James J [0000-0003-2045-6788], Carstensen, Tommy [0000-0002-3672-9931], Goheen, Morgan M [0000-0003-2297-3295], Kimita, Wandia [0000-0002-3099-7134], Mogire, Reagan [0000-0001-6454-1613], Cutland, Clare L [0000-0001-8250-8307], Pomilla, Cristina [0000-0002-2581-8365], Gurdasani, Deepti [0000-0001-9996-6929], Rockett, Kirk [0000-0002-6369-9299], Mturi, Neema [0000-0002-6585-2074], Ndungu, Francis M [0000-0002-8977-0030], Sirima, Sodiomon B [0000-0002-0972-4211], Morovat, Alireza [0000-0002-5832-7992], Prentice, Andrew M [0000-0001-5389-451X], Webb, Emily L [0000-0002-4019-7456], Elliott, Alison M [0000-0003-2818-9549], Hill, Adrian VS [0000-0003-0900-9629], Kwiatkowski, Dominic P [0000-0002-5023-0176], Cerami, Carla [0000-0002-7634-0955], Atkinson, Sarah H [0000-0002-8360-4402], Apollo - University of Cambridge Repository, and Wellcome Trust

Subjects
Hemolytic anemia, Male, Erythrocytes, Anemia, Iron, Ferroportin, Mutation, Missense, Bacteremia, medicine.disease_cause, 03 medical and health sciences, 0302 clinical medicine, hemic and lymphatic diseases, parasitic diseases, Medicine, Humans, Health and Medicine, Cation Transport Proteins, Research Articles, 030304 developmental biology, 0303 health sciences, Mutation, Multidisciplinary, biology, business.industry, Infant, Newborn, SciAdv r-articles, Infant, Iron deficiency, Iron Deficiencies, medicine.disease, Hemolysis, 3. Good health, Malaria, Glutamine, Amino Acid Substitution, 030220 oncology & carcinogenesis, Immunology, biology.protein, Female, business, Research Article
Abstract

The FPN Q248H mutation protects children from anemia, hemolysis, and iron deficiency, but not malaria or bacterial infection., Iron acquisition is critical for life. Ferroportin (FPN) exports iron from mature erythrocytes, and deletion of the Fpn gene results in hemolytic anemia and increased fatality in malaria-infected mice. The FPN Q248H mutation (glutamine to histidine at position 248) renders FPN partially resistant to hepcidin-induced degradation and was associated with protection from malaria in human studies of limited size. Using data from cohorts including over 18,000 African children, we show that the Q248H mutation is associated with modest protection against anemia, hemolysis, and iron deficiency, but we found little evidence of protection against severe malaria or bacteremia. We additionally observed no excess Plasmodium growth in Q248H erythrocytes ex vivo, nor evidence of selection driven by malaria exposure, suggesting that the Q248H mutation does not protect from malaria and is unlikely to deprive malaria parasites of iron essential for their growth.

Published
2019

14. Massive introgression drives species radiation at the range limit of Anopheles gambiae

Author

Tiago Antao, Emiliano Mancini, Dominic P. Kwiatkowski, José L. Vicente, Alistair Miles, Vincenzo Petrarca, Eleanor Drury, James Stalker, Daniel Mead, Chris S Clarkson, João Pinto, Bruno Gomes, Martin J. Donnelly, Marco Pombi, Carla A. Sousa, Joao Dinis, Alessandra della Torre, Amabelia Rodrigues, Giordano Bottà, David Weetman, Beniamino Caputo, Instituto de Higiene e Medicina Tropical (IHMT), Global Health and Tropical Medicine (GHTM), Vector borne diseases and pathogens (VBD), Vicente, José L., Clarkson, Christopher S., Caputo, Beniamino, Gomes, Bruno, Pombi, Marco, Sousa, Carla A., Antao, Tiago, Dinis, Joaõ, Bottà, Giordano, Mancini, Emiliano, Petrarca, Vincenzo, Mead, Daniel, Drury, Eleanor, Stalker, Jame, Miles, Alistair, Kwiatkowski, Dominic P., Donnelly, Martin J., Rodrigues, Amabélia, Torre, Alessandra Della, Weetman, David, and Pinto, Joaõ

Subjects
0106 biological sciences, 0301 basic medicine, GENOMIC DIVERGENCE, Range (biology), Anopheles gambiae, population-structure, ASYMMETRIC INTROGRESSION, malaria vector mosquitos, molecular-forms, gene-flow, incipient speciation, s forms, asymmetric introgression, adaptive introgression, insecticide resistance, genomic divergence, 01 natural sciences, Gene flow, Guinea-Bissau, SDG 15 - Life on Land, media_common, Multidisciplinary, biology, Ecology, Incipient speciation, Infectious Diseases, ADAPTIVE INTROGRESSION, qx_515, geographic locations, Gene Flow, MOLECULAR-FORMS, media_common.quotation_subject, S FORMS, Introgression, 010603 evolutionary biology, Article, MALARIA VECTOR MOSQUITOS, 03 medical and health sciences, Hybrid zone, SDG 3 - Good Health and Well-being, Species Specificity, Anopheles, parasitic diseases, Animals, POPULATION-STRUCTURE, INCIPIENT SPECIATION, Ecology, Evolution, Behavior and Systematics, GENE-FLOW, Whole Genome Sequencing, qu_500, Bayes Theorem, biology.organism_classification, Speciation, 030104 developmental biology, qx_650, Evolutionary biology, Insect Science, Chromosome Inversion, INSECTICIDE RESISTANCE, Hybridization, Genetic, Adaptation, qu_470
Abstract

Impacts of introgressive hybridisation may range from genomic erosion and species collapse to rapid adaptation and speciation but opportunities to study these dynamics are rare. We investigated the extent, causes and consequences of a hybrid zone between Anopheles coluzzii and Anopheles gambiae in Guinea-Bissau, where high hybridisation rates appear to be stable at least since the 1990s. Anopheles gambiae was genetically partitioned into inland and coastal subpopulations, separated by a central region dominated by A. coluzzii. Surprisingly, whole genome sequencing revealed that the coastal region harbours a hybrid form characterised by an A. gambiae-like sex chromosome and massive introgression of A. coluzzii autosomal alleles. Local selection on chromosomal inversions may play a role in this process, suggesting potential for spatiotemporal stability of the coastal hybrid form and providing resilience against introgression of medically-important loci and traits, found to be more prevalent in inland A. gambiae.

Published
2017

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