227 results on '"Sabeti PC"'
Search Results
2. Multiplexed CRISPR-based microfluidic platform for clinical testing of respiratory viruses and identification of SARS-CoV-2 variants
- Author
-
Welch, NL, Zhu, M, Hua, C, Weller, J, Mirhashemi, ME, Nguyen, TG, Mantena, S, Bauer, MR, Shaw, BM, Ackerman, CM, Thakku, SG, Tse, MW, Kehe, J, Uwera, M-M, Eversley, JS, Bielwaski, DA, McGrath, G, Braidt, J, Johnson, J, Cerrato, F, Moreno, GK, Krasilnikova, LA, Petros, BA, Gionet, GL, King, E, Huard, RC, Jalbert, SK, Cleary, ML, Fitzgerald, NA, Gabriel, SB, Gallagher, GR, Smole, SC, Madoff, LC, Brown, CM, Keller, MW, Wilson, MM, Kirby, MK, Barnes, JR, Park, DJ, Siddle, KJ, Happi, CT, Hung, DT, Springer, M, MacInnis, BL, Lemieux, JE, Rosenberg, E, Branda, JA, Blainey, PC, Sabeti, PC, Myhrvold, C, Welch, NL, Zhu, M, Hua, C, Weller, J, Mirhashemi, ME, Nguyen, TG, Mantena, S, Bauer, MR, Shaw, BM, Ackerman, CM, Thakku, SG, Tse, MW, Kehe, J, Uwera, M-M, Eversley, JS, Bielwaski, DA, McGrath, G, Braidt, J, Johnson, J, Cerrato, F, Moreno, GK, Krasilnikova, LA, Petros, BA, Gionet, GL, King, E, Huard, RC, Jalbert, SK, Cleary, ML, Fitzgerald, NA, Gabriel, SB, Gallagher, GR, Smole, SC, Madoff, LC, Brown, CM, Keller, MW, Wilson, MM, Kirby, MK, Barnes, JR, Park, DJ, Siddle, KJ, Happi, CT, Hung, DT, Springer, M, MacInnis, BL, Lemieux, JE, Rosenberg, E, Branda, JA, Blainey, PC, Sabeti, PC, and Myhrvold, C
- Abstract
The coronavirus disease 2019 (COVID-19) pandemic has demonstrated a clear need for high-throughput, multiplexed and sensitive assays for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and other respiratory viruses and their emerging variants. Here, we present a cost-effective virus and variant detection platform, called microfluidic Combinatorial Arrayed Reactions for Multiplexed Evaluation of Nucleic acids (mCARMEN), which combines CRISPR-based diagnostics and microfluidics with a streamlined workflow for clinical use. We developed the mCARMEN respiratory virus panel to test for up to 21 viruses, including SARS-CoV-2, other coronaviruses and both influenza strains, and demonstrated its diagnostic-grade performance on 525 patient specimens in an academic setting and 166 specimens in a clinical setting. We further developed an mCARMEN panel to enable the identification of 6 SARS-CoV-2 variant lineages, including Delta and Omicron, and evaluated it on 2,088 patient specimens with near-perfect concordance to sequencing-based variant classification. Lastly, we implemented a combined Cas13 and Cas12 approach that enables quantitative measurement of SARS-CoV-2 and influenza A viral copies in samples. The mCARMEN platform enables high-throughput surveillance of multiple viruses and variants simultaneously, enabling rapid detection of SARS-CoV-2 variants.
- Published
- 2022
3. Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness
- Author
-
Obermeyer, F, Jankowiak, M, Barkas, N, Schaffner, SF, Pyle, JD, Yurkovetskiy, L, Bosso, M, Park, DJ, Babadi, M, MacInnis, BL, Luban, J, Sabeti, PC, Lemieux, JE, Obermeyer, F, Jankowiak, M, Barkas, N, Schaffner, SF, Pyle, JD, Yurkovetskiy, L, Bosso, M, Park, DJ, Babadi, M, MacInnis, BL, Luban, J, Sabeti, PC, and Lemieux, JE
- Abstract
Repeated emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants with increased fitness underscores the value of rapid detection and characterization of new lineages. We have developed PyR0, a hierarchical Bayesian multinomial logistic regression model that infers relative prevalence of all viral lineages across geographic regions, detects lineages increasing in prevalence, and identifies mutations relevant to fitness. Applying PyR0 to all publicly available SARS-CoV-2 genomes, we identify numerous substitutions that increase fitness, including previously identified spike mutations and many nonspike mutations within the nucleocapsid and nonstructural proteins. PyR0 forecasts growth of new lineages from their mutational profile, ranks the fitness of lineages as new sequences become available, and prioritizes mutations of biological and public health concern for functional characterization.
- Published
- 2022
4. Transmission from vaccinated individuals in a large SARS-CoV-2 Delta variant outbreak
- Author
-
Siddle, KJ, Krasilnikova, LA, Moreno, GK, Schaffner, SF, Vostok, J, Fitzgerald, NA, Lemieux, JE, Barkas, N, Loreth, C, Specht, I, Tomkins-Tinch, CH, Paull, JS, Schaeffer, B, Taylor, BP, Loftness, B, Johnson, H, Schubert, PL, Shephard, HM, Doucette, M, Fink, T, Lang, AS, Baez, S, Beauchamp, J, Hennigan, S, Buzby, E, Ash, S, Brown, J, Clancy, S, Cofsky, S, Gagne, L, Hall, J, Harrington, R, Gionet, GL, DeRuff, KC, Vodzak, ME, Adams, GC, Dobbins, ST, Slack, SD, Reilly, SK, Anderson, LM, Cipicchio, MC, DeFelice, MT, Grimsby, JL, Anderson, SE, Blumenstiel, BS, Meldrim, JC, Rooke, HM, Vicente, G, Smith, NL, Messer, KS, Reagan, FL, Mandese, ZM, Lee, MD, Ray, MC, Fisher, ME, Ulcena, MA, Nolet, CM, English, SE, Larkin, KL, Vernest, K, Chaluvadi, S, Arvidson, D, Melchiono, M, Covell, T, Harik, V, Brock-Fisher, T, Dunn, M, Kearns, A, Hanage, WP, Bernard, C, Philippakis, A, Lennon, NJ, Gabriel, SB, Gallagher, GR, Smole, S, Madoff, LC, Brown, CM, Park, DJ, MacInnis, BL, Sabeti, PC, Siddle, KJ, Krasilnikova, LA, Moreno, GK, Schaffner, SF, Vostok, J, Fitzgerald, NA, Lemieux, JE, Barkas, N, Loreth, C, Specht, I, Tomkins-Tinch, CH, Paull, JS, Schaeffer, B, Taylor, BP, Loftness, B, Johnson, H, Schubert, PL, Shephard, HM, Doucette, M, Fink, T, Lang, AS, Baez, S, Beauchamp, J, Hennigan, S, Buzby, E, Ash, S, Brown, J, Clancy, S, Cofsky, S, Gagne, L, Hall, J, Harrington, R, Gionet, GL, DeRuff, KC, Vodzak, ME, Adams, GC, Dobbins, ST, Slack, SD, Reilly, SK, Anderson, LM, Cipicchio, MC, DeFelice, MT, Grimsby, JL, Anderson, SE, Blumenstiel, BS, Meldrim, JC, Rooke, HM, Vicente, G, Smith, NL, Messer, KS, Reagan, FL, Mandese, ZM, Lee, MD, Ray, MC, Fisher, ME, Ulcena, MA, Nolet, CM, English, SE, Larkin, KL, Vernest, K, Chaluvadi, S, Arvidson, D, Melchiono, M, Covell, T, Harik, V, Brock-Fisher, T, Dunn, M, Kearns, A, Hanage, WP, Bernard, C, Philippakis, A, Lennon, NJ, Gabriel, SB, Gallagher, GR, Smole, S, Madoff, LC, Brown, CM, Park, DJ, MacInnis, BL, and Sabeti, PC
- Abstract
An outbreak of over 1,000 COVID-19 cases in Provincetown, Massachusetts (MA), in July 2021-the first large outbreak mostly in vaccinated individuals in the US-prompted a comprehensive public health response, motivating changes to national masking recommendations and raising questions about infection and transmission among vaccinated individuals. To address these questions, we combined viral genomic and epidemiological data from 467 individuals, including 40% of outbreak-associated cases. The Delta variant accounted for 99% of cases in this dataset; it was introduced from at least 40 sources, but 83% of cases derived from a single source, likely through transmission across multiple settings over a short time rather than a single event. Genomic and epidemiological data supported multiple transmissions of Delta from and between fully vaccinated individuals. However, despite its magnitude, the outbreak had limited onward impact in MA and the US overall, likely due to high vaccination rates and a robust public health response.
- Published
- 2022
5. The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance
- Author
-
Tegally, H, San, JE, Cotten, M, Moir, M, Tegomoh, B, Mboowa, G, Martin, DP, Baxter, C, Lambisia, AW, Diallo, A, Amoako, DG, Diagne, MM, Sisay, A, Zekri, A-RN, Gueye, AS, Sangare, AK, Ouedraogo, A-S, Sow, A, Musa, AO, Sesay, AK, Abias, AG, Elzagheid, A, Lagare, A, Kemi, A-S, Abar, AE, Johnson, AA, Fowotade, A, Oluwapelumi, AO, Amuri, AA, Juru, A, Kandeil, A, Mostafa, A, Rebai, A, Sayed, A, Kazeem, A, Balde, A, Christoffels, A, Trotter, AJ, Campbell, A, Keita, AK, Kone, A, Bouzid, A, Souissi, A, Agweyu, A, Naguib, A, Gutierrez, A, Nkeshimana, A, Page, AJ, Yadouleton, A, Vinze, A, Happi, AN, Chouikha, A, Iranzadeh, A, Maharaj, A, Batchi-Bouyou, AL, Ismail, A, Sylverken, AA, Goba, A, Femi, A, Sijuwola, AE, Marycelin, B, Salako, BL, Oderinde, BS, Bolajoko, B, Diarra, B, Herring, BL, Tsofa, B, Lekana-Douki, B, Mvula, B, Njanpop-Lafourcade, B-M, Marondera, BT, Khaireh, BA, Kouriba, B, Adu, B, Pool, B, McInnis, B, Brook, C, Williamson, C, Nduwimana, C, Anscombe, C, Pratt, CB, Scheepers, C, Akoua-Koffi, CG, Agoti, CN, Mapanguy, CM, Loucoubar, C, Onwuamah, CK, Ihekweazu, C, Malaka, CN, Peyrefitte, C, Grace, C, Omoruyi, CE, Rafai, CD, Morang'a, CM, Erameh, C, Lule, DB, Bridges, DJ, Mukadi-Bamuleka, D, Park, D, Rasmussen, DA, Baker, D, Nokes, DJ, Ssemwanga, D, Tshiabuila, D, Amuzu, DSY, Goedhals, D, Grant, DS, Omuoyo, DO, Maruapula, D, Wanjohi, DW, Foster-Nyarko, E, Lusamaki, EK, Simulundu, E, Ong'era, EM, Ngabana, EN, Abworo, EO, Otieno, E, Shumba, E, Barasa, E, Ahmed, EB, Ahmed, EA, Lokilo, E, Mukantwari, E, Philomena, E, Belarbi, E, Simon-Loriere, E, Anoh, EA, Manuel, E, Leendertz, F, Taweh, FM, Wasfi, F, Abdelmoula, F, Takawira, FT, Derrar, F, Ajogbasile, F, Treurnicht, F, Onikepe, F, Ntoumi, F, Muyembe, FM, Ragomzingba, FEZ, Dratibi, FA, Iyanu, F-A, Mbunsu, GK, Thilliez, G, Kay, GL, Akpede, GO, van Zyl, GU, Awandare, GA, Kpeli, GS, Schubert, G, Maphalala, GP, Ranaivoson, HC, Omunakwe, HE, Onywera, H, Abe, H, Karray, H, Nansumba, H, Triki, H, Kadjo, HAA, Elgahzaly, H, Gumbo, H, Mathieu, H, Kavunga-Membo, H, Smeti, I, Olawoye, IB, Adetifa, IMO, Odia, I, Ben Boubaker, IB, Mohammad, IA, Ssewanyana, I, Wurie, I, Konstantinus, IS, Halatoko, JWA, Ayei, J, Sonoo, J, Makangara, J-CC, Tamfum, J-JM, Heraud, J-M, Shaffer, JG, Giandhari, J, Musyoki, J, Nkurunziza, J, Uwanibe, JN, Bhiman, JN, Yasuda, J, Morais, J, Kiconco, J, Sandi, JD, Huddleston, J, Odoom, JK, Morobe, JM, Gyapong, JO, Kayiwa, JT, Okolie, JC, Xavier, JS, Gyamfi, J, Wamala, JF, Bonney, JHK, Nyandwi, J, Everatt, J, Nakaseegu, J, Ngoi, JM, Namulondo, J, Oguzie, JU, Andeko, JC, Lutwama, JJ, Mogga, JJH, O'Grady, J, Siddle, KJ, Victoir, K, Adeyemi, KT, Tumedi, KA, Carvalho, KS, Mohammed, KS, Dellagi, K, Musonda, KG, Duedu, KO, Fki-Berrajah, L, Singh, L, Kepler, LM, Biscornet, L, Martins, LDO, Chabuka, L, Olubayo, L, Ojok, LD, Deng, LL, Ochola-Oyier, L, Tyers, L, Mine, M, Ramuth, M, Mastouri, M, ElHefnawi, M, Mbanne, M, Matsheka, M, Kebabonye, M, Diop, M, Momoh, M, Lima Mendonca, MDL, Venter, M, Paye, MF, Faye, M, Nyaga, MM, Mareka, M, Damaris, M-M, Mburu, MW, Mpina, MG, Owusu, M, Wiley, MR, Tatfeng, MY, Ayekaba, MO, Abouelhoda, M, Beloufa, MA, Seadawy, MG, Khalifa, MK, Matobo, MM, Kane, M, Salou, M, Mbulawa, MB, Mwenda, M, Allam, M, Phan, MVT, Abid, N, Rujeni, N, Abuzaid, N, Ismael, N, Elguindy, N, Top, NM, Dia, N, Mabunda, N, Hsiao, N-Y, Silochi, NB, Francisco, NM, Saasa, N, Bbosa, N, Murunga, N, Gumede, N, Wolter, N, Sitharam, N, Ndodo, N, Ajayi, NA, Tordo, N, Mbhele, N, Razanajatovo, NH, Iguosadolo, N, Mba, N, Kingsley, OC, Sylvanus, O, Femi, O, Adewumi, OM, Testimony, O, Ogunsanya, OA, Fakayode, O, Ogah, OE, Oludayo, O-E, Faye, O, Smith-Lawrence, P, Ondoa, P, Combe, P, Nabisubi, P, Semanda, P, Oluniyi, PE, Arnaldo, P, Quashie, PK, Okokhere, PO, Bejon, P, Dussart, P, Bester, PA, Mbala, PK, Kaleebu, P, Abechi, P, El-Shesheny, R, Joseph, R, Aziz, RK, Essomba, RG, Ayivor-Djanie, R, Njouom, R, Phillips, RO, Gorman, R, Kingsley, RA, Neto Rodrigues, RMDESA, Audu, RA, Carr, RAA, Gargouri, S, Masmoudi, S, Bootsma, S, Sankhe, S, Mohamed, SI, Femi, S, Mhalla, S, Hosch, S, Kassim, SK, Metha, S, Trabelsi, S, Agwa, SH, Mwangi, SW, Doumbia, S, Makiala-Mandanda, S, Aryeetey, S, Ahmed, SS, Ahmed, SM, Elhamoumi, S, Moyo, S, Lutucuta, S, Gaseitsiwe, S, Jalloh, S, Andriamandimby, SF, Oguntope, S, Grayo, S, Lekana-Douki, S, Prosolek, S, Ouangraoua, S, van Wyk, S, Schaffner, SF, Kanyerezi, S, Ahuka-Mundeke, S, Rudder, S, Pillay, S, Nabadda, S, Behillil, S, Budiaki, SL, van der Werf, S, Mashe, T, Mohale, T, Le-Viet, T, Velavan, TP, Schindler, T, Maponga, TG, Bedford, T, Anyaneji, UJ, Chinedu, U, Ramphal, U, George, UE, Enouf, V, Nene, V, Gorova, V, Roshdy, WH, Karim, WA, Ampofo, WK, Preiser, W, Choga, WT, Ahmed, YA, Ramphal, Y, Bediako, Y, Naidoo, Y, Butera, Y, de Laurent, ZR, Ouma, AEO, von Gottberg, A, Githinji, G, Moeti, M, Tomori, O, Sabeti, PC, Sall, AA, Oyola, SO, Tebeje, YK, Tessema, SK, de Oliveira, T, Happi, C, Lessells, R, Nkengasong, J, Wilkinson, E, Tegally, H, San, JE, Cotten, M, Moir, M, Tegomoh, B, Mboowa, G, Martin, DP, Baxter, C, Lambisia, AW, Diallo, A, Amoako, DG, Diagne, MM, Sisay, A, Zekri, A-RN, Gueye, AS, Sangare, AK, Ouedraogo, A-S, Sow, A, Musa, AO, Sesay, AK, Abias, AG, Elzagheid, A, Lagare, A, Kemi, A-S, Abar, AE, Johnson, AA, Fowotade, A, Oluwapelumi, AO, Amuri, AA, Juru, A, Kandeil, A, Mostafa, A, Rebai, A, Sayed, A, Kazeem, A, Balde, A, Christoffels, A, Trotter, AJ, Campbell, A, Keita, AK, Kone, A, Bouzid, A, Souissi, A, Agweyu, A, Naguib, A, Gutierrez, A, Nkeshimana, A, Page, AJ, Yadouleton, A, Vinze, A, Happi, AN, Chouikha, A, Iranzadeh, A, Maharaj, A, Batchi-Bouyou, AL, Ismail, A, Sylverken, AA, Goba, A, Femi, A, Sijuwola, AE, Marycelin, B, Salako, BL, Oderinde, BS, Bolajoko, B, Diarra, B, Herring, BL, Tsofa, B, Lekana-Douki, B, Mvula, B, Njanpop-Lafourcade, B-M, Marondera, BT, Khaireh, BA, Kouriba, B, Adu, B, Pool, B, McInnis, B, Brook, C, Williamson, C, Nduwimana, C, Anscombe, C, Pratt, CB, Scheepers, C, Akoua-Koffi, CG, Agoti, CN, Mapanguy, CM, Loucoubar, C, Onwuamah, CK, Ihekweazu, C, Malaka, CN, Peyrefitte, C, Grace, C, Omoruyi, CE, Rafai, CD, Morang'a, CM, Erameh, C, Lule, DB, Bridges, DJ, Mukadi-Bamuleka, D, Park, D, Rasmussen, DA, Baker, D, Nokes, DJ, Ssemwanga, D, Tshiabuila, D, Amuzu, DSY, Goedhals, D, Grant, DS, Omuoyo, DO, Maruapula, D, Wanjohi, DW, Foster-Nyarko, E, Lusamaki, EK, Simulundu, E, Ong'era, EM, Ngabana, EN, Abworo, EO, Otieno, E, Shumba, E, Barasa, E, Ahmed, EB, Ahmed, EA, Lokilo, E, Mukantwari, E, Philomena, E, Belarbi, E, Simon-Loriere, E, Anoh, EA, Manuel, E, Leendertz, F, Taweh, FM, Wasfi, F, Abdelmoula, F, Takawira, FT, Derrar, F, Ajogbasile, F, Treurnicht, F, Onikepe, F, Ntoumi, F, Muyembe, FM, Ragomzingba, FEZ, Dratibi, FA, Iyanu, F-A, Mbunsu, GK, Thilliez, G, Kay, GL, Akpede, GO, van Zyl, GU, Awandare, GA, Kpeli, GS, Schubert, G, Maphalala, GP, Ranaivoson, HC, Omunakwe, HE, Onywera, H, Abe, H, Karray, H, Nansumba, H, Triki, H, Kadjo, HAA, Elgahzaly, H, Gumbo, H, Mathieu, H, Kavunga-Membo, H, Smeti, I, Olawoye, IB, Adetifa, IMO, Odia, I, Ben Boubaker, IB, Mohammad, IA, Ssewanyana, I, Wurie, I, Konstantinus, IS, Halatoko, JWA, Ayei, J, Sonoo, J, Makangara, J-CC, Tamfum, J-JM, Heraud, J-M, Shaffer, JG, Giandhari, J, Musyoki, J, Nkurunziza, J, Uwanibe, JN, Bhiman, JN, Yasuda, J, Morais, J, Kiconco, J, Sandi, JD, Huddleston, J, Odoom, JK, Morobe, JM, Gyapong, JO, Kayiwa, JT, Okolie, JC, Xavier, JS, Gyamfi, J, Wamala, JF, Bonney, JHK, Nyandwi, J, Everatt, J, Nakaseegu, J, Ngoi, JM, Namulondo, J, Oguzie, JU, Andeko, JC, Lutwama, JJ, Mogga, JJH, O'Grady, J, Siddle, KJ, Victoir, K, Adeyemi, KT, Tumedi, KA, Carvalho, KS, Mohammed, KS, Dellagi, K, Musonda, KG, Duedu, KO, Fki-Berrajah, L, Singh, L, Kepler, LM, Biscornet, L, Martins, LDO, Chabuka, L, Olubayo, L, Ojok, LD, Deng, LL, Ochola-Oyier, L, Tyers, L, Mine, M, Ramuth, M, Mastouri, M, ElHefnawi, M, Mbanne, M, Matsheka, M, Kebabonye, M, Diop, M, Momoh, M, Lima Mendonca, MDL, Venter, M, Paye, MF, Faye, M, Nyaga, MM, Mareka, M, Damaris, M-M, Mburu, MW, Mpina, MG, Owusu, M, Wiley, MR, Tatfeng, MY, Ayekaba, MO, Abouelhoda, M, Beloufa, MA, Seadawy, MG, Khalifa, MK, Matobo, MM, Kane, M, Salou, M, Mbulawa, MB, Mwenda, M, Allam, M, Phan, MVT, Abid, N, Rujeni, N, Abuzaid, N, Ismael, N, Elguindy, N, Top, NM, Dia, N, Mabunda, N, Hsiao, N-Y, Silochi, NB, Francisco, NM, Saasa, N, Bbosa, N, Murunga, N, Gumede, N, Wolter, N, Sitharam, N, Ndodo, N, Ajayi, NA, Tordo, N, Mbhele, N, Razanajatovo, NH, Iguosadolo, N, Mba, N, Kingsley, OC, Sylvanus, O, Femi, O, Adewumi, OM, Testimony, O, Ogunsanya, OA, Fakayode, O, Ogah, OE, Oludayo, O-E, Faye, O, Smith-Lawrence, P, Ondoa, P, Combe, P, Nabisubi, P, Semanda, P, Oluniyi, PE, Arnaldo, P, Quashie, PK, Okokhere, PO, Bejon, P, Dussart, P, Bester, PA, Mbala, PK, Kaleebu, P, Abechi, P, El-Shesheny, R, Joseph, R, Aziz, RK, Essomba, RG, Ayivor-Djanie, R, Njouom, R, Phillips, RO, Gorman, R, Kingsley, RA, Neto Rodrigues, RMDESA, Audu, RA, Carr, RAA, Gargouri, S, Masmoudi, S, Bootsma, S, Sankhe, S, Mohamed, SI, Femi, S, Mhalla, S, Hosch, S, Kassim, SK, Metha, S, Trabelsi, S, Agwa, SH, Mwangi, SW, Doumbia, S, Makiala-Mandanda, S, Aryeetey, S, Ahmed, SS, Ahmed, SM, Elhamoumi, S, Moyo, S, Lutucuta, S, Gaseitsiwe, S, Jalloh, S, Andriamandimby, SF, Oguntope, S, Grayo, S, Lekana-Douki, S, Prosolek, S, Ouangraoua, S, van Wyk, S, Schaffner, SF, Kanyerezi, S, Ahuka-Mundeke, S, Rudder, S, Pillay, S, Nabadda, S, Behillil, S, Budiaki, SL, van der Werf, S, Mashe, T, Mohale, T, Le-Viet, T, Velavan, TP, Schindler, T, Maponga, TG, Bedford, T, Anyaneji, UJ, Chinedu, U, Ramphal, U, George, UE, Enouf, V, Nene, V, Gorova, V, Roshdy, WH, Karim, WA, Ampofo, WK, Preiser, W, Choga, WT, Ahmed, YA, Ramphal, Y, Bediako, Y, Naidoo, Y, Butera, Y, de Laurent, ZR, Ouma, AEO, von Gottberg, A, Githinji, G, Moeti, M, Tomori, O, Sabeti, PC, Sall, AA, Oyola, SO, Tebeje, YK, Tessema, SK, de Oliveira, T, Happi, C, Lessells, R, Nkengasong, J, and Wilkinson, E
- Abstract
Investment in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing in Africa over the past year has led to a major increase in the number of sequences that have been generated and used to track the pandemic on the continent, a number that now exceeds 100,000 genomes. Our results show an increase in the number of African countries that are able to sequence domestically and highlight that local sequencing enables faster turnaround times and more-regular routine surveillance. Despite limitations of low testing proportions, findings from this genomic surveillance study underscore the heterogeneous nature of the pandemic and illuminate the distinct dispersal dynamics of variants of concern-particularly Alpha, Beta, Delta, and Omicron-on the continent. Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve while the continent faces many emerging and reemerging infectious disease threats. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century.
- Published
- 2022
6. HCR-FlowFISH: A flexible CRISPR screening method to identify cis-regulatory elements and their target genes
- Author
-
Reilly, SK, primary, Gosai, SJ, additional, Gutierrez, A, additional, Ulirsch, JC, additional, Kanai, M, additional, Berenzy, D, additional, Kales, S, additional, Butler, GB, additional, Gladden-Young, A, additional, Finucane, HK, additional, Sabeti, PC, additional, and Tewhey, R, additional
- Published
- 2020
- Full Text
- View/download PDF
7. G311 Lassa fever and convulsions associated with fever: A case-control study
- Author
-
Akhuemokhan, OC, primary, Ehiemua, J, additional, Adomeh, DI, additional, Odia, I, additional, Olomu, SC, additional, Becker-Ziaja, B, additional, Happi, CT, additional, Asogun, DA, additional, Okogbenin, SA, additional, Okokhere, PO, additional, Dawodu, OS, additional, Sabeti, PC, additional, Gunther, S, additional, and Akpede, GO, additional
- Published
- 2017
- Full Text
- View/download PDF
8. An integrated map of genetic variation from 1,092 human genomes
- Author
-
Altshuler, DM, Durbin, RM, Abecasis, GR, Bentley, DR, Chakravarti, A, Clark, AG, Donnelly, P, Eichler, EE, Flicek, P, Gabriel, SB, Gibbs, RA, Green, ED, Hurles, ME, Knoppers, BM, Korbel, JO, Lander, ES, Lee, C, Lehrach, H, Mardis, ER, Marth, GT, McVean, GA, Nickerson, DA, Schmidt, JP, Sherry, ST, Wang, J, Wilson, RK, Dinh, H, Kovar, C, Lee, S, Lewis, L, Muzny, D, Reid, J, Wang, M, Fang, X, Guo, X, Jian, M, Jiang, H, Jin, X, Li, G, Li, J, Li, Y, Li, Z, Liu, X, Lu, Y, Ma, X, Su, Z, Tai, S, Tang, M, Wang, B, Wang, G, Wu, H, Wu, R, Yin, Y, Zhang, W, Zhao, J, Zhao, M, Zheng, X, Zhou, Y, Gupta, N, Clarke, L, Leinonen, R, Smith, RE, Zheng-Bradley, X, Grocock, R, Humphray, S, James, T, Kingsbury, Z, Sudbrak, R, Albrecht, MW, Amstislavskiy, VS, Borodina, TA, Lienhard, M, Mertes, F, Sultan, M, Timmermann, B, Yaspo, M-L, Fulton, L, Fulton, R, Weinstock, GM, Balasubramaniam, S, Burton, J, Danecek, P, Keane, TM, Kolb-Kokocinski, A, McCarthy, S, Stalker, J, Quail, M, Davies, CJ, Gollub, J, Webster, T, Wong, B, Zhan, Y, Auton, A, Yu, F, Bainbridge, M, Challis, D, Evani, US, Lu, J, Nagaswamy, U, Sabo, A, Wang, Y, Yu, J, Coin, LJM, Fang, L, Li, Q, Lin, H, Liu, B, Luo, R, Qin, N, Shao, H, Xie, Y, Ye, C, Yu, C, Zhang, F, Zheng, H, Zhu, H, Garrison, EP, Kural, D, Lee, W-P, Leong, WF, Ward, AN, Wu, J, Zhang, M, Griffin, L, Hsieh, C-H, Mills, RE, Shi, X, Von Grotthuss, M, Zhang, C, Daly, MJ, DePristo, MA, Banks, E, Bhatia, G, Carneiro, MO, Del Angel, G, Genovese, G, Handsaker, RE, Hartl, C, McCarroll, SA, Nemesh, JC, Poplin, RE, Schaffner, SF, Shakir, K, Yoon, SC, Lihm, J, Makarov, V, Jin, H, Kim, W, Kim, KC, Rausch, T, Beal, K, Cunningham, F, Herrero, J, McLaren, WM, Ritchie, GRS, Gottipati, S, Keinan, A, Rodriguez-Flores, JL, Sabeti, PC, Grossman, SR, Tabrizi, S, Tariyal, R, Cooper, DN, Ball, EV, Stenson, PD, Barnes, B, Bauer, M, Cheetham, RK, Cox, T, Eberle, M, Kahn, S, Murray, L, Peden, J, Shaw, R, Ye, K, Batzer, MA, Konkel, MK, Walker, JA, MacArthur, DG, Lek, M, Herwig, R, Shriver, MD, Bustamante, CD, Byrnes, JK, De la Vega, FM, Gravel, S, Kenny, EE, Kidd, JM, Lacroute, P, Maples, BK, Moreno-Estrada, A, Zakharia, F, Halperin, E, Baran, Y, Craig, DW, Christoforides, A, Homer, N, Izatt, T, Kurdoglu, AA, Sinari, SA, Squire, K, Xiao, C, Sebat, J, Bafna, V, Burchard, EG, Hernandez, RD, Gignoux, CR, Haussler, D, Katzman, SJ, Kent, WJ, Howie, B, Ruiz-Linares, A, Dermitzakis, ET, Lappalainen, T, Devine, SE, Maroo, A, Tallon, LJ, Rosenfeld, JA, Michelson, LP, Kang, HM, Anderson, P, Angius, A, Bigham, A, Blackwell, T, Busonero, F, Cucca, F, Fuchsberger, C, Jones, C, Jun, G, Lyons, R, Maschio, A, Porcu, E, Reinier, F, Sanna, S, Schlessinger, D, Sidore, C, Tan, A, Trost, MK, Awadalla, P, Hodgkinson, A, Lunter, G, Marchini, JL, Myers, S, Churchhouse, C, Delaneau, O, Gupta-Hinch, A, Iqbal, Z, Mathieson, I, Rimmer, A, Xifara, DK, Oleksyk, TK, Fu, Y, Xiong, M, Jorde, L, Witherspoon, D, Xing, J, Browning, BL, Alkan, C, Hajirasouliha, I, Hormozdiari, F, Ko, A, Sudmant, PH, Chen, K, Chinwalla, A, Ding, L, Dooling, D, Koboldt, DC, McLellan, MD, Wallis, JW, Wendl, MC, Zhang, Q, Tyler-Smith, C, Albers, CA, Ayub, Q, Chen, Y, Coffey, AJ, Colonna, V, Huang, N, Jostins, L, Li, H, Scally, A, Walter, K, Xue, Y, Zhang, Y, Gerstein, MB, Abyzov, A, Balasubramanian, S, Chen, J, Clarke, D, Habegger, L, Harmanci, AO, Jin, M, Khurana, E, Mu, XJ, Sisu, C, Degenhardt, J, Stuetz, AM, Church, D, Michaelson, JJ, Ben, B, Lindsay, SJ, Ning, Z, Frankish, A, Harrow, J, Fowler, G, Hale, W, Kalra, D, Barker, J, Kelman, G, Kulesha, E, Radhakrishnan, R, Roa, A, Smirnov, D, Streeter, I, Toneva, I, Vaughan, B, Ananiev, V, Belaia, Z, Beloslyudtsev, D, Bouk, N, Chen, C, Cohen, R, Cook, C, Garner, J, Hefferon, T, Kimelman, M, Liu, C, Lopez, J, Meric, P, O'Sullivan, C, Ostapchuk, Y, Phan, L, Ponomarov, S, Schneider, V, Shekhtman, E, Sirotkin, K, Slotta, D, Zhang, H, Barnes, KC, Beiswanger, C, Cai, H, Cao, H, Gharani, N, Henn, B, Jones, D, Kaye, JS, Kent, A, Kerasidou, A, Mathias, R, Ossorio, PN, Parker, M, Reich, D, Rotimi, CN, Royal, CD, Sandoval, K, Su, Y, Tian, Z, Tishkoff, S, Toji, LH, Via, M, Yang, H, Yang, L, Zhu, J, Bodmer, W, Bedoya, G, Ming, CZ, Yang, G, You, CJ, Peltonen, L, Garcia-Montero, A, Orfao, A, Dutil, J, Martinez-Cruzado, JC, Brooks, LD, Felsenfeld, AL, McEwen, JE, Clemm, NC, Duncanson, A, Dunn, M, Guyer, MS, Peterson, JL, 1000 Genomes Project Consortium, Dermitzakis, Emmanouil, Universitat de Barcelona, Massachusetts Institute of Technology. Department of Biology, Altshuler, David, and Lander, Eric S.
- Subjects
Natural selection ,LOCI ,Genome-wide association study ,Evolutionary biology ,Continental Population Groups/genetics ,Human genetic variation ,VARIANTS ,Genoma humà ,Binding Sites/genetics ,0302 clinical medicine ,RARE ,Sequence Deletion/genetics ,WIDE ASSOCIATION ,ddc:576.5 ,Copy-number variation ,MUTATION ,Exome sequencing ,transcription factor ,Conserved Sequence ,Human evolution ,Sequence Deletion ,Genetics ,RISK ,0303 health sciences ,Multidisciplinary ,Continental Population Groups ,1000 Genomes Project Consortium ,Genetic analysis ,Genomics ,Polymorphism, Single Nucleotide/genetics ,Research Highlight ,3. Good health ,Algorithm ,Multidisciplinary Sciences ,Genetic Variation/genetics ,Map ,Science & Technology - Other Topics ,Conserved Sequence/genetics ,Integrated approach ,General Science & Technology ,Genetics, Medical ,Haplotypes/genetics ,Biology ,Polymorphism, Single Nucleotide ,Evolution, Molecular ,03 medical and health sciences ,Genetic variation ,Humans ,Transcription Factors/metabolism ,POPULATION-STRUCTURE ,1000 Genomes Project ,Polymorphism ,Nucleotide Motifs ,Alleles ,030304 developmental biology ,COPY NUMBER VARIATION ,Science & Technology ,Binding Sites ,Human genome ,Genome, Human ,Racial Groups ,Genetic Variation ,Genetics, Population ,Haplotypes ,Genome, Human/genetics ,untranslated RNA ,030217 neurology & neurosurgery ,Transcription Factors ,Genome-Wide Association Study - Abstract
By characterizing the geographic and functional spectrum of human genetic variation, the 1000 Genomes Project aims to build a resource to help to understand the genetic contribution to disease. Here we describe the genomes of 1,092 individuals from 14 populations, constructed using a combination of low-coverage whole-genome and exome sequencing. By developing methods to integrate information across several algorithms and diverse data sources, we provide a validated haplotype map of 38 million single nucleotide polymorphisms, 1.4 million short insertions and deletions, and more than 14,000 larger deletions. We show that individuals from different populations carry different profiles of rare and common variants, and that low-frequency variants show substantial geographic differentiation, which is further increased by the action of purifying selection. We show that evolutionary conservation and coding consequence are key determinants of the strength of purifying selection, that rare-variant load varies substantially across biological pathways, and that each individual contains hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites. This resource, which captures up to 98% of accessible single nucleotide polymorphisms at a frequency of 1% in related populations, enables analysis of common and low-frequency variants in individuals from diverse, including admixed, populations., National Institutes of Health (U.S.) (Grant RC2HL102925), National Institutes of Health (U.S.) (Grant U54HG3067)
- Published
- 2012
9. Genome-wide detection and characterization of positive selection in human populations
- Author
-
Sabeti, PC, Varilly, P, Fry, B, Lohmueller, J, Hostetter, E, Cotsapas, C, Xie, X, Byrne, EH, McCarroll, SA, Gaudet, R, Schaffner, SF, Lander, ES, Frazer, KA, Ballinger, DG, Cox, DR, Hinds, DA, Stuve, LL, Gibbs, RA, Belmont, JW, Boudreau, A, Hardenbol, P, Leal, SM, Pasternak, S, Wheeler, DA, Willis, TD, Yu, F, Yang, H, Zeng, C, Gao, Y, Hu, H, Hu, W, Li, C, Lin, W, Liu, S, Pan, H, Tang, X, Wang, J, Wang, W, Yu, J, Zhang, B, Zhang, Q, Zhao, H, Zhou, J, Gabriel, SB, Barry, R, Blumenstiel, B, Camargo, A, Defelice, M, Faggart, M, Goyette, M, Gupta, S, Moore, J, Nguyen, H, Onofrio, RC, Parkin, M, Roy, J, Stahl, E, Winchester, E, Ziaugra, L, Altshuler, D, Shen, Y, Yao, Z, Huang, W, Chu, X, He, Y, Jin, L, Liu, Y, Sun, W, Wang, H, Wang, Y, Xiong, X, Xu, L, Waye, MM, Tsui, SK, Xue, H, Wong, JT, Galver, LM, Fan, JB, Gunderson, K, Murray, SS, Oliphant, AR, Chee, MS, Montpetit, A, Chagnon, F, Ferretti, V, Leboeuf, M, Olivier, JF, Phillips, MS, Roumy, S, Sallée, C, Verner, A, Hudson, TJ, Kwok, PY, Cai, D, Koboldt, DC, Miller, RD, Pawlikowska, L, Taillon-Miller, P, Xiao, M, Tsui, LC, Mak, W, Song, YQ, Tam, PK, Nakamura, Y, Kawaguchi, T, Kitamoto, T, Morizono, T, Nagashima, A, Ohnishi, Y, Sekine, A, Tanaka, T, Tsunoda, T, Deloukas, P, Bird, CP, Delgado, M, Dermitzakis, ET, Gwilliam, R, Hunt, S, Morrison, J, Powell, D, Stranger, BE, Whittaker, P, Bentley, DR, Daly, MJ, de Bakker, PI, Barrett, J, Chretien, YR, Maller, J, McCarroll, S, Patterson, N, Pe'er, I, Price, A, Purcell, S, Richter, DJ, Sabeti, P, Saxena, R, Sham, PC, Stein, LD, Krishnan, L, Smith, AV, Tello-Ruiz, MK, Thorisson, GA, Chakravarti, A, Chen, PE, Cutler, DJ, Kashuk, CS, Lin, S, Abecasis, GR, Guan, W, Li, Y, Munro, HM, Qin, ZS, Thomas, DJ, McVean, G, Auton, A, Bottolo, L, Cardin, N, Eyheramendy, S, Freeman, C, Marchini, J, Myers, S, Spencer, C, Stephens, M, Donnelly, P, Cardon, LR, Clarke, G, Evans, DM, Morris, AP, Weir, BS, Johnson, TA, Mullikin, JC, Sherry, ST, Feolo, M, Skol, A, Zhang, H, Matsuda, I, Fukushima, Y, Macer, DR, Suda, E, Rotimi, CN, Adebamowo, CA, Ajayi, I, Aniagwu, T, Marshall, PA, Nkwodimmah, C, Royal, CD, Leppert, MF, Dixon, M, Peiffer, A, Qiu, R, Kent, A, Kato, K, Niikawa, N, Adewole, IF, Knoppers, BM, Foster, MW, Clayton, EW, Watkin, J, Muzny, D, Nazareth, L, Sodergren, E, Weinstock, GM, Yakub, I, Birren, BW, Wilson, RK, Fulton, LL, Rogers, J, Burton, J, Carter, NP, Clee, CM, Griffiths, M, Jones, MC, McLay, K, Plumb, RW, Ross, MT, Sims, SK, Willey, DL, Chen, Z, Han, H, Kang, L, Godbout, M, Wallenburg, JC, L'Archevêque, P, Bellemare, G, Saeki, K, An, D, Fu, H, Li, Q, Wang, Z, Wang, R, Holden, AL, Brooks, LD, McEwen, JE, Guyer, MS, Wang, VO, Peterson, JL, Shi, M, Spiegel, J, Sung, LM, Zacharia, LF, Collins, FS, Kennedy, K, Jamieson, R, and Stewart, J
- Subjects
Models, Molecular ,Population ,Single-nucleotide polymorphism ,Human genetic variation ,Biology ,Polymorphism, Single Nucleotide ,Article ,Antiporters ,Gene Frequency ,Humans ,International HapMap Project ,Selection, Genetic ,education ,Selection (genetic algorithm) ,Genetics ,education.field_of_study ,Multidisciplinary ,Natural selection ,Geography ,Edar Receptor ,Genome, Human ,Haplotype ,Regional Index: Eurasia ,Protein Structure, Tertiary ,Europe ,Genetics, Population ,Haplotypes ,Human genome - Abstract
With the advent of dense maps of human genetic variation, it is now possible to detect positive natural selection across the human genome. Here we report an analysis of over 3 million polymorphisms from the International HapMap Project Phase 2 (HapMap2). We used 'long-range haplotype' methods, which were developed to identify alleles segregating in a population that have undergone recent selection, and we also developed new methods that are based on cross-population comparisons to discover alleles that have swept to near-fixation within a population. The analysis reveals more than 300 strong candidate regions. Focusing on the strongest 22 regions, we develop a heuristic for scrutinizing these regions to identify candidate targets of selection. In a complementary analysis, we identify 26 non-synonymous, coding, single nucleotide polymorphisms showing regional evidence of positive selection. Examination of these candidates highlights three cases in which two genes in a common biological process have apparently undergone positive selection in the same population:LARGE and DMD, both related to infection by the Lassa virus, in West Africa;SLC24A5 and SLC45A2, both involved in skin pigmentation, in Europe; and EDAR and EDA2R, both involved in development of hair follicles, in Asia. ©2007 Nature Publishing Group., link_to_OA_fulltext
- Published
- 2007
10. G311 Lassa fever and convulsions associated with fever: A case-control study
- Author
-
Akhuemokhan, OC, Ehiemua, J, Adomeh, DI, Odia, I, Olomu, SC, Becker-Ziaja, B, Happi, CT, Asogun, DA, Okogbenin, SA, Okokhere, PO, Dawodu, OS, Sabeti, PC, Gunther, S, and Akpede, GO
- Abstract
BackgroundConvulsions associated with fever (CAWF), are a frequent medical emergency in children. In the tropics, endemic malaria and bacterial infections are established causes. However, knowledge of the contributions of endemic viral haemorrhagic fevers, particularly Lassa fever(LF) which has multiple lineages of the virus, remains unknown It was hypothesised that LF, may be an unrecognised contributor to CAWF in areas of high disease burden.ObjectiveDetermine the prevalence of LF in children with fever, compare seizure characteristics, clinical features and outcomes. MethodA prospective case-control study of emergency admissions presenting with fever of 380 C. A positive Lassa virus Reverse-transcription Polymerase Chain Reaction (LV-RT-PCR) defined a diagnosis of LF.ResultsThree hundred and seventy three febrile children and adolescents were recruited,108 cases (CAWF) compared with 265 controls (fever without convulsions). The prevalence of LF [95% CI] was 3.5% [1.9, 5.7] The prevalence of malaria parasitaemia was significantly higher in CAWF compared with controls (OR [95% CI]=(6.38[2.86, 14.22], p=0.0001 ). There was no significant difference between the prevalence of LF in cases with non-febrile convulsions and their controls ( 2/40 versus 8/94 ) ( Fisher’s exact p=0.759 ). Bleeding was significantly associated with LF in CAWF compared with controls ( Fisher’s exact p=0.008 ).ConclusionLF is an important cause of fever. In this study LF was not significantly associated with CAWF but was a cause of fever presenting with seizures The absence of clear clinical differentiators from other aetiologies of fever without a focus inform the need for a high index of suspicion where the disease is endemic.
- Published
- 2017
- Full Text
- View/download PDF
11. Genomic Analysis Identifies Targets of Convergent Positive Selection in Drug Resistant Mycobacterium tuberculosis
- Author
-
Sebastien Gagneux, Bruce W. Birren, Bhavana Muddukrishna, Robin M. Warren, Jennifer L. Gardy, B. Jesse Shapiro, Eric J. Rubin, Devinder Kaur, Midori Kato-Maeda, Megan Murray, Jamie E. Posey, Natalia Kurepina, Maha R. Farhat, Alistair Calver, Pardis C. Sabeti, Patrick Tang, Bonnie B. Plikaytis, Eric S. Lander, Alexander Sloutsky, Razvan Sultana, Mark L. Borowsky, Elizabeth M. Streicher, Thomas C. Victor, Karen R. Jacobson, Mabel Rodrigues, James C. Johnston, Karen J. Kieser, James E. Galagan, Barry N. Kreiswirth, Marco R. Oggioni, Massachusetts Institute of Technology. Department of Biology, Lander, Eric S., Farhat MR, Shapiro BJ, Kieser KJ, Sultana R, Jacobson KR, Victor TC, Warren RM, Streicher EM, Calver A, Sloutsky A, Kaur D, Posey JE, Plikaytis B, Oggioni MR, Gardy JL, Johnston JC, Rodrigues M, Tang PK, Kato-Maeda M, Borowsky ML, Muddukrishna B, Kreiswirth BN, Kurepina N, Galagan J, Gagneux S, Birren B, Rubin EJ, Lander ES, Sabeti PC, and Murray M
- Subjects
Tuberculosis ,DNA Repair ,Drug resistance ,medicine.disease_cause ,Genetic analysis ,Genome ,Article ,Mycobacterium tuberculosis ,03 medical and health sciences ,Antibiotic resistance ,Genetics ,medicine ,Selection, Genetic ,Gene ,030304 developmental biology ,0303 health sciences ,Mutation ,genomics, tuberculosis, mutations, compensatory mutations, resistance, drug resistance ,biology ,030306 microbiology ,Drug Resistance, Microbial ,biology.organism_classification ,medicine.disease ,3. Good health - Abstract
M. tuberculosis is evolving antibiotic resistance, threatening attempts at tuberculosis epidemic control. Mechanisms of resistance, including genetic changes favored by selection in resistant isolates, are incompletely understood. Using 116 newly sequenced and 7 previously sequenced M. tuberculosis whole genomes, we identified genome-wide signatures of positive selection specific to the 47 drug-resistant strains. By searching for convergent evolution--the independent fixation of mutations in the same nucleotide position or gene--we recovered 100% of a set of known resistance markers. We also found evidence of positive selection in an additional 39 genomic regions in resistant isolates. These regions encode components in cell wall biosynthesis, transcriptional regulation and DNA repair pathways. Mutations in these regions could directly confer resistance or compensate for fitness costs associated with resistance. Functional genetic analysis of mutations in one gene, ponA1, demonstrated an in vitro growth advantage in the presence of the drug rifampicin.
- Published
- 2013
12. Model-directed generation of artificial CRISPR-Cas13a guide RNA sequences improves nucleic acid detection.
- Author
-
Mantena S, Pillai PP, Petros BA, Welch NL, Myhrvold C, Sabeti PC, and Metsky HC
- Abstract
CRISPR guide RNA sequences deriving exactly from natural sequences may not perform optimally in every application. Here we implement and evaluate algorithms for designing maximally fit, artificial CRISPR-Cas13a guides with multiple mismatches to natural sequences that are tailored for diagnostic applications. These guides offer more sensitive detection of diverse pathogens and discrimination of pathogen variants compared with guides derived directly from natural sequences and illuminate design principles that broaden Cas13a targeting., (© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.)
- Published
- 2024
- Full Text
- View/download PDF
13. CRISPR-Based Assays for Point-of-Need Detection and Subtyping of Influenza.
- Author
-
Zhang YB, Arizti-Sanz J, Bradley A, Huang Y, Kosoko-Thoroddsen TF, Sabeti PC, and Myhrvold C
- Subjects
- Humans, Sensitivity and Specificity, RNA, Viral genetics, Clustered Regularly Interspaced Short Palindromic Repeats genetics, Molecular Diagnostic Techniques methods, Influenza A Virus, H3N2 Subtype genetics, Influenza A Virus, H3N2 Subtype isolation & purification, Influenza A Virus, H1N1 Subtype genetics, Influenza A Virus, H1N1 Subtype isolation & purification, Influenza A virus genetics, Influenza A virus isolation & purification, Influenza A virus classification, Influenza, Human diagnosis, Influenza, Human virology, CRISPR-Cas Systems genetics
- Abstract
The high disease burden of influenza virus poses a significant threat to human health. Optimized diagnostic technologies that combine speed, sensitivity, and specificity with minimal equipment requirements are urgently needed to detect the many circulating species, subtypes, and variants of influenza at the point of need. Here, we introduce such a method using Streamlined Highlighting of Infections to Navigate Epidemics (SHINE), a clustered regularly interspaced short palindromic repeats (CRISPR)-based RNA detection platform. Four SHINE assays were designed and validated for the detection and differentiation of clinically relevant influenza species (A and B) and subtypes (H1N1 and H3N2). When tested on clinical samples, these optimized assays achieved 100% concordance with quantitative RT-PCR. Duplex Cas12a/Cas13a SHINE assays were also developed to detect two targets simultaneously. This study demonstrates the utility of this duplex assay in discriminating two alleles of an oseltamivir resistance (H275Y) mutation as well as in simultaneously detecting influenza A and human RNAse P in patient samples. These assays have the potential to expand influenza detection outside of clinical laboratories for enhanced influenza diagnosis and surveillance., Competing Interests: Disclosure Statement J.A.-S., P.C.S., and C.M. are inventors on a pending patent application held by the Broad Institute (international patent application number PCT/US2021/049145), which covers the SHINE technology. P.C.S. is a cofounder of, shareholder in, and consultant to Sherlock Biosciences, Inc., and Delve Bio, as well as a board member of and shareholder in Danaher Corp. C.M. is a cofounder of Carver Biosciences, a startup company developing Cas13-based antivirals, and holds equity in Carver Biosciences., (Copyright © 2024 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
- Full Text
- View/download PDF
14. Increased Pediatric Respiratory Syncytial Virus Case Counts Following the Emergence of SARS-CoV-2 Can Be Attributed to Changes in Testing.
- Author
-
Petros BA, Milliren CE, Sabeti PC, and Ozonoff A
- Subjects
- Humans, Infant, Retrospective Studies, Child, Preschool, Female, Male, Child, Hospitalization statistics & numerical data, United States epidemiology, Infant, Newborn, Adolescent, Respiration, Artificial, Hospitals, Pediatric, Interrupted Time Series Analysis, Respiratory Syncytial Virus Infections diagnosis, Respiratory Syncytial Virus Infections epidemiology, COVID-19 diagnosis, COVID-19 epidemiology, SARS-CoV-2 immunology, Respiratory Syncytial Virus, Human isolation & purification
- Abstract
Background: Respiratory syncytial virus (RSV) circulation dropped markedly early in the COVID-19 pandemic, followed by a resurgence with heightened case counts. The "immunity debt" hypothesis proposes that the RSV-naїve pediatric population increased during the period of low transmission. However, the evidence supporting this hypothesis is limited, and the role of changing testing practices in the perceived surge has not been comprehensively evaluated., Methods: We conducted a multicenter, retrospective analysis of 342 530 RSV encounters and 980 546 RSV diagnostic tests occurring at 32 US pediatric hospitals in 2013-2023. We used interrupted time series analysis to estimate pandemic-associated changes in RSV patient and test volume and to quantify changes in the proportions of patients requiring hospitalization, intensive care, or mechanical ventilation. We quantified the fraction of the shifts in case counts and in the age of diagnosed patients attributable to changes in testing., Results: RSV patient volume increased 2.4-fold (95% confidence interval [CI]: 1.7, 3.5) in 2021-2023 relative to the pre-pandemic phase and was accompanied by an 18.9-fold increase (95% CI: 15.0, 23.9) in RSV test volume. Shifts in patient volume and in patient age were largely attributable to increased testing. The proportions of patients with RSV that required hospitalization, intensive care, or mechanical ventilation declined significantly across all patient age groups., Conclusions: A surge in RSV testing, rather than in viral circulation, likely underlies the increased case counts observed in 2021-2023. These findings warrant a critical assessment of the immunity debt hypothesis and highlight the importance of considering the testing denominator when surveillance strategies are dynamic., Competing Interests: Potential conflicts of interest. P. C. S. is a cofounder of, shareholder in, and advisor to Sherlock Biosciences, Inc; a board member of and shareholder in the Danaher Corporation; a cofounder of and shareholder in Delve Bio; and a shareholder in NextGenJane and TruGenomix. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed., (© The Author(s) 2024. Published by Oxford University Press on behalf of Infectious Diseases Society of America.)
- Published
- 2024
- Full Text
- View/download PDF
15. Functional dissection of complex and molecular trait variants at single nucleotide resolution.
- Author
-
Siraj L, Castro RI, Dewey H, Kales S, Nguyen TTL, Kanai M, Berenzy D, Mouri K, Wang QS, McCaw ZR, Gosai SJ, Aguet F, Cui R, Vockley CM, Lareau CA, Okada Y, Gusev A, Jones TR, Lander ES, Sabeti PC, Finucane HK, Reilly SK, Ulirsch JC, and Tewhey R
- Abstract
Identifying the causal variants and mechanisms that drive complex traits and diseases remains a core problem in human genetics. The majority of these variants have individually weak effects and lie in non-coding gene-regulatory elements where we lack a complete understanding of how single nucleotide alterations modulate transcriptional processes to affect human phenotypes. To address this, we measured the activity of 221,412 trait-associated variants that had been statistically fine-mapped using a Massively Parallel Reporter Assay (MPRA) in 5 diverse cell-types. We show that MPRA is able to discriminate between likely causal variants and controls, identifying 12,025 regulatory variants with high precision. Although the effects of these variants largely agree with orthogonal measures of function, only 69% can plausibly be explained by the disruption of a known transcription factor (TF) binding motif. We dissect the mechanisms of 136 variants using saturation mutagenesis and assign impacted TFs for 91% of variants without a clear canonical mechanism. Finally, we provide evidence that epistasis is prevalent for variants in close proximity and identify multiple functional variants on the same haplotype at a small, but important, subset of trait-associated loci. Overall, our study provides a systematic functional characterization of likely causal common variants underlying complex and molecular human traits, enabling new insights into the regulatory grammar underlying disease risk., Competing Interests: Competing Interests PCS is a co-founder of and consultant to Sherlock Biosciences and Board Member of Danaher Corporation. PCS and RT hold patents related to the application of MPRA. JCU and FA are employees of Illumina. QSW is an employee of Calico Life Sciences LLC. ZRM is an employee of insitro.
- Published
- 2024
- Full Text
- View/download PDF
16. Reproducible single cell annotation of programs underlying T-cell subsets, activation states, and functions.
- Author
-
Kotliar D, Curtis M, Agnew R, Weinand K, Nathan A, Baglaenko Y, Zhao Y, Sabeti PC, Rao DA, and Raychaudhuri S
- Abstract
T-cells recognize antigens and induce specialized gene expression programs (GEPs) enabling functions including proliferation, cytotoxicity, and cytokine production. Traditionally, different classes of helper T-cells express mutually exclusive responses - for example, Th1, Th2, and Th17 programs. However, new single-cell RNA sequencing (scRNA-Seq) experiments have revealed a continuum of T-cell states without discrete clusters corresponding to these subsets, implying the need for new analytical frameworks. Here, we advance the characterization of T-cells with T-CellAnnoTator (TCAT), a pipeline that simultaneously quantifies pre-defined GEPs capturing activation states and cellular subsets. From 1,700,000 T-cells from 700 individuals across 38 tissues and five diverse disease contexts, we discover 46 reproducible GEPs reflecting the known core functions of T-cells including proliferation, cytotoxicity, exhaustion, and T helper effector states. We experimentally characterize several novel activation programs and apply TCAT to describe T-cell activation and exhaustion in Covid-19 and cancer, providing insight into T-cell function in these diseases., Competing Interests: Declaration of interest S.R. is a founder for Mestag, Inc, on advisory boards for Pfizer, Janssen and Sonoma, and a consultant for Abbvie, Biogen, Nimbus and Magnet. D.A.R. is a co-inventor on a patent using Tph cells as a biomarker in autoimmune diseases. P.C.S. is a co-founder of, shareholder in, and consultant to Sherlock Biosciences, Inc. and Delve Bio, as well as a Board member of and shareholder in Danaher Corporation. Other authors declare no competing interests.
- Published
- 2024
- Full Text
- View/download PDF
17. Optimisation and evaluation of viral genomic sequencing of SARS-CoV-2 rapid diagnostic tests: a laboratory and cohort-based study.
- Author
-
Paull JS, Petros BA, Brock-Fisher TM, Jalbert SA, Selser VM, Messer KS, Dobbins ST, DeRuff KC, Deng D, Springer M, and Sabeti PC
- Subjects
- Adult, Aged, Female, Humans, Male, Middle Aged, Young Adult, Cohort Studies, COVID-19 Nucleic Acid Testing methods, COVID-19 Testing methods, COVID-19 diagnosis, COVID-19 virology, COVID-19 epidemiology, Genome, Viral genetics, Rapid Diagnostic Tests, SARS-CoV-2 genetics, SARS-CoV-2 isolation & purification
- Abstract
Background: Sequencing of SARS-CoV-2 from rapid diagnostic tests (RDTs) can bolster viral genomic surveillance efforts; however, approaches to maximise and standardise pathogen genome recovery from RDTs remain underdeveloped. We aimed to systematically optimise the elution of genetic material from RDT components and to evaluate the efficacy of RDT sequencing for outbreak investigation., Methods: In this laboratory and cohort-based study we seeded RDTs with inactivated SARS-CoV-2 to optimise the elution of genomic material from RDT lateral flow strips. We measured the effect of changes in buffer type, time in buffer, and rotation on PCR cycle threshold (Ct) value. We recruited individuals older than 18 years residing in the greater Boston area, MA, USA, from July 18 to Nov 5, 2022, via email advertising to students and staff at Harvard University, MA, USA, and via broad social media advertising. All individuals recruited were within 5 days of a positive diagnostic test for SARS-CoV-2; no other relevant exclusion criteria were applied. Each individual completed two RDTs and one PCR swab. On Dec 29, 2022, we also collected RDTs from a convenience sample of individuals who were positive for SARS-CoV-2 and associated with an outbreak at a senior housing facility in MA, USA. We extracted all returned PCR swabs and RDT components (ie, swab, strip, or buffer); samples with a Ct of less than 40 were subject to amplicon sequencing. We compared the efficacy of elution and sequencing across RDT brands and components and used RDT-derived sequences to infer transmission links within the outbreak at the senior housing facility. We conducted metagenomic sequencing of negative RDTs from symptomatic individuals living in the senior housing facility., Findings: Neither elution duration of greater than 10 min nor rotation during elution impacted viral titres. Elution in Buffer AVL (Ct=31·4) and Tris-EDTA Buffer (Ct=30·8) were equivalent (p=0·34); AVL outperformed elution in lysis buffer and 50% lysis buffer (Ct=40·0, p=0·0029 for both) as well as Universal Viral Transport Medium (Ct=36·7, p=0·079). Performance of RDT strips was poorer than that of matched PCR swabs (mean Ct difference 10·2 [SD 4·3], p<0·0001); however, RDT swabs performed similarly to PCR swabs (mean Ct difference 4·1 [5·2], p=0·055). No RDT brand significantly outperformed another. Across sample types, viral load predicted the viral genome assembly length. We assembled greater than 80% complete genomes from 12 of 17 RDT-derived swabs, three of 18 strips, and four of 11 residual buffers. We generated outbreak-associated SARS-CoV-2 genomes using both amplicon and metagenomic sequencing and identified multiple introductions of the virus that resulted in downstream transmission., Interpretation: RDT-derived swabs are a reasonable alternative to PCR swabs for viral genomic surveillance and outbreak investigation. RDT-derived lateral flow strips yield accurate, but significantly fewer, viral reads than matched PCR swabs. Metagenomic sequencing of negative RDTs can identify viruses that might underlie patient symptoms., Funding: The National Science Foundation, the Hertz Foundation, the National Institute of General Medical Sciences, Harvard Medical School, the Howard Hughes Medical Institute, the US Centers for Disease Control and Prevention, the Broad Institute and the National Institute of Allergy and Infectious Diseases., Competing Interests: Declaration of interests PCS is a cofounder of, shareholder in, and advisor to Sherlock Biosciences; a board member of and shareholder in the Danaher Corporation; a cofounder of and shareholder in Delve Bio; and a shareholder in NextGenJane and TruGenomix. MS is a cofounder of, shareholder in, and advisor to Rhinostics; a shareholder of and advisor to Nexus Laboratories; and a consultant for Vectis Consulting. All other authors declare no competing interests., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2024
- Full Text
- View/download PDF
18. Multicenter integrated analysis of noncoding CRISPRi screens.
- Author
-
Yao D, Tycko J, Oh JW, Bounds LR, Gosai SJ, Lataniotis L, Mackay-Smith A, Doughty BR, Gabdank I, Schmidt H, Guerrero-Altamirano T, Siklenka K, Guo K, White AD, Youngworth I, Andreeva K, Ren X, Barrera A, Luo Y, Yardımcı GG, Tewhey R, Kundaje A, Greenleaf WJ, Sabeti PC, Leslie C, Pritykin Y, Moore JE, Beer MA, Gersbach CA, Reddy TE, Shen Y, Engreitz JM, Bassik MC, and Reilly SK
- Subjects
- Humans, Genome, K562 Cells, RNA, Guide, CRISPR-Cas Systems, Clustered Regularly Interspaced Short Palindromic Repeats genetics, CRISPR-Cas Systems genetics
- Abstract
The ENCODE Consortium's efforts to annotate noncoding cis-regulatory elements (CREs) have advanced our understanding of gene regulatory landscapes. Pooled, noncoding CRISPR screens offer a systematic approach to investigate cis-regulatory mechanisms. The ENCODE4 Functional Characterization Centers conducted 108 screens in human cell lines, comprising >540,000 perturbations across 24.85 megabases of the genome. Using 332 functionally confirmed CRE-gene links in K562 cells, we established guidelines for screening endogenous noncoding elements with CRISPR interference (CRISPRi), including accurate detection of CREs that exhibit variable, often low, transcriptional effects. Benchmarking five screen analysis tools, we find that CASA produces the most conservative CRE calls and is robust to artifacts of low-specificity single guide RNAs. We uncover a subtle DNA strand bias for CRISPRi in transcribed regions with implications for screen design and analysis. Together, we provide an accessible data resource, predesigned single guide RNAs for targeting 3,275,697 ENCODE SCREEN candidate CREs with CRISPRi and screening guidelines to accelerate functional characterization of the noncoding genome., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF
19. Vocal learning-associated convergent evolution in mammalian proteins and regulatory elements.
- Author
-
Wirthlin ME, Schmid TA, Elie JE, Zhang X, Kowalczyk A, Redlich R, Shvareva VA, Rakuljic A, Ji MB, Bhat NS, Kaplow IM, Schäffer DE, Lawler AJ, Wang AZ, Phan BN, Annaldasula S, Brown AR, Lu T, Lim BK, Azim E, Clark NL, Meyer WK, Pond SLK, Chikina M, Yartsev MM, Pfenning AR, Andrews G, Armstrong JC, Bianchi M, Birren BW, Bredemeyer KR, Breit AM, Christmas MJ, Clawson H, Damas J, Di Palma F, Diekhans M, Dong MX, Eizirik E, Fan K, Fanter C, Foley NM, Forsberg-Nilsson K, Garcia CJ, Gatesy J, Gazal S, Genereux DP, Goodman L, Grimshaw J, Halsey MK, Harris AJ, Hickey G, Hiller M, Hindle AG, Hubley RM, Hughes GM, Johnson J, Juan D, Kaplow IM, Karlsson EK, Keough KC, Kirilenko B, Koepfli KP, Korstian JM, Kowalczyk A, Kozyrev SV, Lawler AJ, Lawless C, Lehmann T, Levesque DL, Lewin HA, Li X, Lind A, Lindblad-Toh K, Mackay-Smith A, Marinescu VD, Marques-Bonet T, Mason VC, Meadows JRS, Meyer WK, Moore JE, Moreira LR, Moreno-Santillan DD, Morrill KM, Muntané G, Murphy WJ, Navarro A, Nweeia M, Ortmann S, Osmanski A, Paten B, Paulat NS, Pfenning AR, Phan BN, Pollard KS, Pratt HE, Ray DA, Reilly SK, Rosen JR, Ruf I, Ryan L, Ryder OA, Sabeti PC, Schäffer DE, Serres A, Shapiro B, Smit AFA, Springer M, Srinivasan C, Steiner C, Storer JM, Sullivan KAM, Sullivan PF, Sundström E, Supple MA, Swofford R, Talbot JE, Teeling E, Turner-Maier J, Valenzuela A, Wagner F, Wallerman O, Wang C, Wang J, Weng Z, Wilder AP, Wirthlin ME, Xue JR, and Zhang X
- Subjects
- Animals, Chiroptera genetics, Chiroptera physiology, Chromatin metabolism, Larynx physiology, Epigenesis, Genetic, Genome, Amino Acid Sequence, Machine Learning, Vocalization, Animal physiology, Motor Cortex cytology, Motor Cortex physiology, Enhancer Elements, Genetic, Motor Neurons physiology, Gene Expression Regulation, Evolution, Molecular, Proteins genetics, Proteins metabolism, Eutheria genetics, Eutheria physiology
- Abstract
Vocal production learning ("vocal learning") is a convergently evolved trait in vertebrates. To identify brain genomic elements associated with mammalian vocal learning, we integrated genomic, anatomical, and neurophysiological data from the Egyptian fruit bat ( Rousettus aegyptiacus ) with analyses of the genomes of 215 placental mammals. First, we identified a set of proteins evolving more slowly in vocal learners. Then, we discovered a vocal motor cortical region in the Egyptian fruit bat, an emergent vocal learner, and leveraged that knowledge to identify active cis-regulatory elements in the motor cortex of vocal learners. Machine learning methods applied to motor cortex open chromatin revealed 50 enhancers robustly associated with vocal learning whose activity tended to be lower in vocal learners. Our research implicates convergent losses of motor cortex regulatory elements in mammalian vocal learning evolution.
- Published
- 2024
- Full Text
- View/download PDF
20. Clinical Performance of Cas13a-based Point-of-Care Lateral Flow Assay for Detecting Neisseria gonorrhoeae .
- Author
-
Allan-Blitz LT, Sanders G, Shah P, Adams G, Jarolimova J, Ard K, Branda JA, Klausner JD, Sabeti PC, and Lemieux JE
- Abstract
Background: Diagnosis of Neisseria (N.) gonorrhoeae is dependent on nucleic acid amplification testing (NAAT), which is not available in resource-limited settings where the prevalence of infection is highest. Recent advances in molecular diagnostics leveraging the high specificity of CRISPR enzymes can permit field-deployable, point-of-care lateral flow assays. We previously reported on the development and in vitro performance of a lateral flow assay for detecting N. gonorrhoeae . Here we aimed to pair that assay with point-of-care DNA extraction techniques and assess the performance on clinical urine specimens., Methods: We collected an additional urine specimen among individuals enrolling in an ongoing clinical trial at the Massachusetts General Hospital Sexual Health Clinic who presented with symptoms of urethritis or cervicitis (urethral or vaginal discharge, dysuria, or dyspareunia). We then assessed thermal, detergent, and combination DNA extraction conditions, varying the duration of heat at 95°C and concentration of Triton X. We assessed the efficacy of the various DNA extraction methods by quantitative polymerase chain reaction (qPCR). Once an extraction method was selected, we incubated samples for 90 minutes to permit isothermal recombinase polymerase amplification. We then assessed the performance of lateral flow Cas13a-based detection using our previously designed por A probe and primer system for N. gonorrhoeae detection, comparing lateral flow results with NAAT results from clinical care., Results: We assessed DNA extraction conditions on 3 clinical urine specimens. There was no consistent significant difference in copies per microliter of DNA obtained using more or less heat. On average, we noted that 0.02% triton combined with 5 minutes of heating to 95°C resulted in the highest DNA yield, however, 0.02% triton alone resulted in a quantity of DNA that was above the previously determined analytic sensitivity of the assay. Given that detergent-based extraction is more easily deployable, we selected that as our method for extraction. We treated 23 clinical specimens with 0.02% triton, which we added to the Cas13a detection system. We ran all lateral flow detections in duplicate. The Cas13a-based assay detected 8 of 8 (100%) positive specimens, and 0 of 15 negative specimens., Conclusion: Using point-of-care DNA extraction, isothermal amplification, and Cas13a-based detection, our point-of-care lateral flow N. gonorrhoeae assay correctly identified 23 clinical urine specimens as either positive or negative. Further evaluation of this assay among larger samples and more diverse sample types is warranted.
- Published
- 2024
- Full Text
- View/download PDF
21. Genome-wide association study identifies human genetic variants associated with fatal outcome from Lassa fever.
- Author
-
Kotliar D, Raju S, Tabrizi S, Odia I, Goba A, Momoh M, Sandi JD, Nair P, Phelan E, Tariyal R, Eromon PE, Mehta S, Robles-Sikisaka R, Siddle KJ, Stremlau M, Jalloh S, Gire SK, Winnicki S, Chak B, Schaffner SF, Pauthner M, Karlsson EK, Chapin SR, Kennedy SG, Branco LM, Kanneh L, Vitti JJ, Broodie N, Gladden-Young A, Omoniwa O, Jiang PP, Yozwiak N, Heuklom S, Moses LM, Akpede GO, Asogun DA, Rubins K, Kales S, Happi AN, Iruolagbe CO, Dic-Ijiewere M, Iraoyah K, Osazuwa OO, Okonkwo AK, Kunz S, McCormick JB, Khan SH, Honko AN, Lander ES, Oldstone MBA, Hensley L, Folarin OA, Okogbenin SA, Günther S, Ollila HM, Tewhey R, Okokhere PO, Schieffelin JS, Andersen KG, Reilly SK, Grant DS, Garry RF, Barnes KG, Happi CT, and Sabeti PC
- Subjects
- Humans, Genome-Wide Association Study, Seroepidemiologic Studies, Lassa virus genetics, Fever, Human Genetics, Lassa Fever genetics, Lassa Fever diagnosis, Lassa Fever epidemiology
- Abstract
Infection with Lassa virus (LASV) can cause Lassa fever, a haemorrhagic illness with an estimated fatality rate of 29.7%, but causes no or mild symptoms in many individuals. Here, to investigate whether human genetic variation underlies the heterogeneity of LASV infection, we carried out genome-wide association studies (GWAS) as well as seroprevalence surveys, human leukocyte antigen typing and high-throughput variant functional characterization assays. We analysed Lassa fever susceptibility and fatal outcomes in 533 cases of Lassa fever and 1,986 population controls recruited over a 7 year period in Nigeria and Sierra Leone. We detected genome-wide significant variant associations with Lassa fever fatal outcomes near GRM7 and LIF in the Nigerian cohort. We also show that a haplotype bearing signatures of positive selection and overlapping LARGE1, a required LASV entry factor, is associated with decreased risk of Lassa fever in the Nigerian cohort but not in the Sierra Leone cohort. Overall, we identified variants and genes that may impact the risk of severe Lassa fever, demonstrating how GWAS can provide insight into viral pathogenesis., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF
22. Increased pediatric RSV case counts following the emergence of SARS-CoV-2 are attributable to increased testing.
- Author
-
Petros BA, Milliren CE, Sabeti PC, and Ozonoff A
- Abstract
Background: The incidence of respiratory syncytial virus (RSV) dropped markedly early in the COVID-19 pandemic, followed by a resurgence with heightened case counts. The "immunity debt" hypothesis proposes that the RSV-naive pediatric population increased during the period of low transmission, resulting in a subsequent increased risk of infection. However, the evidence supporting this hypothesis is limited, and no studies have comprehensively evaluated the role of changing respiratory viral testing practices in the perceived surge., Methods: We conducted a multicenter, retrospective analysis of 342,530 RSV encounters and 980,546 RSV diagnostic tests occurring at 32 United States pediatric hospitals between 2013 and 2023. We used interrupted time series analysis to estimate pandemic-associated changes in RSV patient and testing volume, and to quantify changes in the proportions of patients admitted from the emergency department (ED), admitted to the intensive care unit (ICU), and receiving mechanical ventilation. We quantified the fraction of the observed shifts in case counts and in the age of diagnosed patients attributable to changes in RSV testing practices. Finally, we analyzed 524,404 influenza virus encounters and 1,768,526 influenza diagnostic tests to address the specificity of the findings to RSV., Findings: RSV patient volume increased 2.4-fold (95% CI: 1.7, 3.5) in 2021-2023 relative to the pre-pandemic phase, and was accompanied by an 18.9-fold increase (95% CI: 15.0, 23.9) in RSV test volume. Over two-thirds of the apparent shifts in patient volume and in patient age were attributable to increased testing, which was concentrated among older pediatric patients. The proportions of patients with RSV requiring hospitalization, intensive care, or mechanical ventilation declined significantly across all patient age groups. These declines were not observed for patients with influenza virus., Interpretation: A surge in RSV testing, rather than in viral circulation, likely underlies the increased case counts observed in 2021-2023. We identify expected consequences of increased testing, including the diagnosis of less severe cases and a shift in the patient age distribution. These findings warrant a critical assessment of the immunity debt hypothesis, while highlighting the importance of considering the testing denominator when surveillance strategies are dynamic., Funding: National Institutes of Health & Howard Hughes Medical Institute., Competing Interests: Declaration of interest PCS is a co-founder of, shareholder in, and advisor to Sherlock Biosciences, Inc.; a board member of and shareholder in the Danaher Corporation; a co-founder of and shareholder in Delve Bio; and a shareholder in NextGenJane and TruGenomix.
- Published
- 2024
- Full Text
- View/download PDF
23. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Household Transmission during the Omicron Era in Massachusetts: A Prospective, Case-Ascertained Study using Genomic Epidemiology.
- Author
-
Banga J, Brock-Fisher T, Petros BA, Dai EY, Leonelli AT, Dobbins ST, Messer KS, Nathanson AB, Capone A, Littlehale N, Appiah-Danquah V, Dim S, Moreno GK, Crowther M, Lee KA, DeRuff KC, MacInnis BL, Springer M, Sabeti PC, and Stephenson KE
- Abstract
Background: Households are a major setting for SARS-CoV-2 infections, but there remains a lack of knowledge regarding the dynamics of viral transmission, particularly in the setting of widespread pre-existing SARS-CoV-2 immunity and evolving variants., Methods: We conducted a prospective, case-ascertained household transmission study in the greater Boston area in March-July 2022. Anterior nasal swabs, along with clinical and demographic data, were collected for 14 days. Nasal swabs were tested for SARS-CoV-2 by PCR. Whole genome sequencing was performed on high-titer samples., Results: We enrolled 33 households in a primary analysis set, with a median age of participants of 25 years old (range 2-66); 98% of whom had received at least 2 doses of a COVID-19 vaccine. 58% of households had a secondary case during follow up and the secondary attack rate (SAR) for contacts infected was 39%. We further examined a strict analysis set of 21 households that had only 1 PCR+ case at baseline, finding an SAR of 22.5%. Genomic epidemiology further determined that there were multiple sources of infection for household contacts, including the index case and outside introductions. When limiting estimates to only highly probable transmissions given epidemiologic and genomic data, the SAR was 18.4%., Conclusions: Household contacts of a person newly diagnosed with COVID-19 are at high risk for SARS-CoV-2 infection in the following 2 weeks. This is, however, not only due to infection from the household index case, but also because the presence of an infected household member implies increased SARS-CoV-2 community transmission. Further studies to understand and mitigate household transmission are needed., Competing Interests: Conflicts of Interest P.C.S. is a co-founder of, shareholder in, and scientific advisor to Sherlock Biosciences, Inc and Delve Bio; she is also a Board member of and shareholder in Danaher Corporation. P.C.S. has filed IP related to genome sequencing and analysis. The authors declare no other conflicts of interests.
- Published
- 2024
- Full Text
- View/download PDF
24. Investigating the etiologies of non-malarial febrile illness in Senegal using metagenomic sequencing.
- Author
-
Levine ZC, Sene A, Mkandawire W, Deme AB, Ndiaye T, Sy M, Gaye A, Diedhiou Y, Mbaye AM, Ndiaye IM, Gomis J, Ndiop M, Sene D, Faye Paye M, MacInnis BL, Schaffner SF, Park DJ, Badiane AS, Colubri A, Ndiaye M, Sy N, Sabeti PC, Ndiaye D, and Siddle KJ
- Subjects
- Humans, Senegal epidemiology, Cross-Sectional Studies, Fever epidemiology, Malaria diagnosis, Malaria epidemiology, Plasmodium, Borrelia genetics
- Abstract
The worldwide decline in malaria incidence is revealing the extensive burden of non-malarial febrile illness (NMFI), which remains poorly understood and difficult to diagnose. To characterize NMFI in Senegal, we collected venous blood and clinical metadata in a cross-sectional study of febrile patients and healthy controls in a low malaria burden area. Using 16S and untargeted sequencing, we detected viral, bacterial, or eukaryotic pathogens in 23% (38/163) of NMFI cases. Bacteria were the most common, with relapsing fever Borrelia and spotted fever Rickettsia found in 15.5% and 3.8% of cases, respectively. Four viral pathogens were found in a total of 7 febrile cases (3.5%). Sequencing also detected undiagnosed Plasmodium, including one putative P. ovale infection. We developed a logistic regression model that can distinguish Borrelia from NMFIs with similar presentation based on symptoms and vital signs (F1 score: 0.823). These results highlight the challenge and importance of improved diagnostics, especially for Borrelia, to support diagnosis and surveillance., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF
25. The HLA-II immunopeptidome of SARS-CoV-2.
- Author
-
Weingarten-Gabbay S, Chen DY, Sarkizova S, Taylor HB, Gentili M, Hernandez GM, Pearlman LR, Bauer MR, Rice CM, Clauser KR, Hacohen N, Carr SA, Abelin JG, Saeed M, and Sabeti PC
- Subjects
- Humans, Epitopes, T-Lymphocyte, Histocompatibility Antigens Class I, HLA Antigens, Histocompatibility Antigens, CD8-Positive T-Lymphocytes, Peptides, SARS-CoV-2, COVID-19
- Abstract
Targeted synthetic vaccines have the potential to transform our response to viral outbreaks, yet the design of these vaccines requires a comprehensive knowledge of viral immunogens. Here, we report severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) peptides that are naturally processed and loaded onto human leukocyte antigen-II (HLA-II) complexes in infected cells. We identify over 500 unique viral peptides from canonical proteins as well as from overlapping internal open reading frames. Most HLA-II peptides colocalize with known CD4
+ T cell epitopes in coronavirus disease 2019 patients, including 2 reported immunodominant regions in the SARS-CoV-2 membrane protein. Overall, our analyses show that HLA-I and HLA-II pathways target distinct viral proteins, with the structural proteins accounting for most of the HLA-II peptidome and nonstructural and noncanonical proteins accounting for the majority of the HLA-I peptidome. These findings highlight the need for a vaccine design that incorporates multiple viral elements harboring CD4+ and CD8+ T cell epitopes to maximize vaccine effectiveness., Competing Interests: Declaration of interests S.W.-G., D.-Y.C., S.S., K.R.C., N.H., S.A.C., J.G.A., M.S., and P.C.S. are named co-inventors on a patent application related to this work, filed by The Broad Institute, that is being made available in accordance with the COVID-19 technology licensing framework to maximize access to university innovations. N.H. is a founder of Neon Therapeutics (now BioNTech US), was a member of its scientific advisory board, and holds shares. N.H. is also an advisor for IFM Therapeutics. S.A.C. is a member of the scientific advisory boards of Kymera, PTM BioLabs, Seer, and PrognomIQ. J.G.A. is a past employee of Neon Therapeutics (now BioNTech US). P.C.S. is a cofounder of and consultant to Sherlock Biosciences and Delve Biosciences and a board member of Danaher Corporation and holds equity in the companies., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)- Published
- 2024
- Full Text
- View/download PDF
26. Three linked variants have opposing regulatory effects on isovaleryl-CoA dehydrogenase gene expression.
- Author
-
Brown EA, Kales S, Boyle MJ, Vitti J, Kotliar D, Schaffner S, Tewhey R, and Sabeti PC
- Subjects
- Humans, Oxidoreductases genetics, Genome-Wide Association Study, Gene Expression, Isovaleryl-CoA Dehydrogenase genetics, Oxidoreductases Acting on CH-CH Group Donors genetics
- Abstract
While genome-wide association studies (GWAS) and positive selection scans identify genomic loci driving human phenotypic diversity, functional validation is required to discover the variant(s) responsible. We dissected the IVD gene locus-which encodes the isovaleryl-CoA dehydrogenase enzyme-implicated by selection statistics, multiple GWAS, and clinical genetics as important to function and fitness. We combined luciferase assays, CRISPR/Cas9 genome-editing, massively parallel reporter assays (MPRA), and a deletion tiling MPRA strategy across regulatory loci. We identified three regulatory variants, including an indel, that may underpin GWAS signals for pulmonary fibrosis and testosterone, and that are linked on a positively selected haplotype in the Japanese population. These regulatory variants exhibit synergistic and opposing effects on IVD expression experimentally. Alleles at these variants lie on a haplotype tagged by the variant most strongly associated with IVD expression and metabolites, but with no functional evidence itself. This work demonstrates how comprehensive functional investigation and multiple technologies are needed to discover the true genetic drivers of phenotypic diversity., (© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
- Published
- 2024
- Full Text
- View/download PDF
27. Author Correction: Multiplexed CRISPR-based microfluidic platform for clinical testing of respiratory viruses and identification of SARS-CoV-2 variants.
- Author
-
Welch NL, Zhu M, Hua C, Weller J, Mirhashemi ME, Nguyen TG, Mantena S, Bauer MR, Shaw BM, Ackerman CM, Thakku SG, Tse MW, Kehe J, Uwera MM, Eversley JS, Bielwaski DA, McGrath G, Braidt J, Johnson J, Cerrato F, Moreno GK, Krasilnikova LA, Petros BA, Gionet GL, King E, Huard RC, Jalbert SK, Cleary ML, Fitzgerald NA, Gabriel SB, Gallagher GR, Smole SC, Madoff LC, Brown CM, Keller MW, Wilson MM, Kirby MK, Barnes JR, Park DJ, Siddle KJ, Happi CT, Hung DT, Springer M, MacInnis BL, Lemieux JE, Rosenberg E, Branda JA, Blainey PC, Sabeti PC, and Myhrvold C
- Published
- 2024
- Full Text
- View/download PDF
28. Natural history of Ebola virus disease in rhesus monkeys shows viral variant emergence dynamics and tissue-specific host responses.
- Author
-
Normandin E, Triana S, Raju SS, Lan TCT, Lagerborg K, Rudy M, Adams GC, DeRuff KC, Logue J, Liu D, Strebinger D, Rao A, Messer KS, Sacks M, Adams RD, Janosko K, Kotliar D, Shah R, Crozier I, Rinn JL, Melé M, Honko AN, Zhang F, Babadi M, Luban J, Bennett RS, Shalek AK, Barkas N, Lin AE, Hensley LE, Sabeti PC, and Siddle KJ
- Subjects
- Animals, Macaca mulatta, Hemorrhagic Fever, Ebola pathology, Ebolavirus genetics, Hemorrhagic Fevers, Viral
- Abstract
Ebola virus (EBOV) causes Ebola virus disease (EVD), marked by severe hemorrhagic fever; however, the mechanisms underlying the disease remain unclear. To assess the molecular basis of EVD across time, we performed RNA sequencing on 17 tissues from a natural history study of 21 rhesus monkeys, developing new methods to characterize host-pathogen dynamics. We identified alterations in host gene expression with previously unknown tissue-specific changes, including downregulation of genes related to tissue connectivity. EBOV was widely disseminated throughout the body; using a new, broadly applicable deconvolution method, we found that viral load correlated with increased monocyte presence. Patterns of viral variation between tissues differentiated primary infections from compartmentalized infections, and several variants impacted viral fitness in a EBOV/Kikwit minigenome system, suggesting that functionally significant variants can emerge during early infection. This comprehensive portrait of host-pathogen dynamics in EVD illuminates new features of pathogenesis and establishes resources to study other emerging pathogens., Competing Interests: P.C.S. is a co-founder and shareholder of Sherlock Biosciences and Delve Bio, a board member and shareholder of Danaher Corporation, and has filed IP related to genomic sequencing and diagnostic technologies. A.K.S. reports compensation for consulting and/or scientific advisory board (SAB) membership from Merck, Honeycomb Biotechnologies, Cellarity, Repertoire Immune Medicines, Ochre Bio, Third Rock Ventures, Hovione, Relation Therapeutics, FL82, FL86, Empress Therapeutics, IntrECate Biotherapeutics, Senda Biosciences, and Dahlia Biosciences unrelated to this work. F.Z. is a scientific advisor and cofounder of Editas Medicine, Beam Therapeutics, Pairwise Plants, Arbor Biotechnologies, and Aera Therapeutics. F.Z. is a scientific advisor for Octant., (© 2023 The Authors.)
- Published
- 2023
- Full Text
- View/download PDF
29. Development of Cas13a-based assays for Neisseria gonorrhoeae detection and gyrase A determination.
- Author
-
Allan-Blitz L-T, Shah P, Adams G, Branda JA, Klausner JD, Goldstein R, Sabeti PC, and Lemieux JE
- Subjects
- Infant, Newborn, Humans, Neisseria gonorrhoeae genetics, Drug Resistance, Bacterial genetics, Microbial Sensitivity Tests, Anti-Bacterial Agents pharmacology, Ciprofloxacin pharmacology, Gonorrhea diagnosis, Gonorrhea microbiology, HIV Infections
- Abstract
Neisseria gonorrhoeae is one of the most common bacterial sexually transmitted infections. The emergence of antimicrobial-resistant N. gonorrhoeae is an urgent public health threat. Currently, the diagnosis of N. gonorrhoeae infection requires expensive laboratory infrastructure, while antimicrobial susceptibility determination requires bacterial culture, both of which are infeasible in low-resource areas where the prevalence of infection is highest. Recent advances in molecular diagnostics, such as s pecific h igh-sensitivity e nzymatic r eporter un lock ing (SHERLOCK) using CRISPR-Cas13a and isothermal amplification, have the potential to provide low-cost detection of pathogen and antimicrobial resistance. We designed and optimized RNA guides and primer sets for SHERLOCK assays capable of detecting N. gonorrhoeae via the por A gene and of predicting ciprofloxacin susceptibility via a single mutation in the gyrase A ( gyr A) gene. We evaluated their performance using both synthetic DNA and purified N. gonorrhoeae isolates. For por A , we created both a fluorescence-based assay and lateral flow assay using a biotinylated fluorescein reporter. Both methods demonstrated sensitive detection of 14 N . gonorrhoeae isolates and no cross-reactivity with 3 non-gonococcal Neisseria isolates. For gyr A, we created a fluorescence-based assay that correctly distinguished between 20 purified N. gonorrhoeae isolates with phenotypic ciprofloxacin resistance and 3 with phenotypic susceptibility. We confirmed the gyr A genotype predictions from the fluorescence-based assay with DNA sequencing, which showed 100% concordance for the isolates studied. We report the development of Cas13a-based SHERLOCK assays that detect N. gonorrhoeae and differentiate ciprofloxacin-resistant isolates from ciprofloxacin-susceptible isolates. IMPORTANCE Neisseria gonorrhoeae, the cause of gonorrhea, disproportionately affects resource-limited settings. Such areas, however, lack the technical capabilities for diagnosing the infection. The consequences of poor or absent diagnostics include increased disease morbidity, which, for gonorrhea, includes an increased risk for HIV infection, infertility, and neonatal blindness, as well as an overuse of antibiotics that contributes to the emergence of antibiotic resistance. We used a novel CRISPR-based technology to develop a rapid test that does not require laboratory infrastructure for both diagnosing gonorrhea and predicting whether ciprofloxacin can be used in its treatment, a one-time oral pill. With further development, that diagnostic test may be of use in low-resource settings., Competing Interests: P.C.S. is a co-founder of, shareholder in, and consultant to Sherlock Biosciences and Delve Bio, as well as a board member of and shareholder in Danaher Corporation. J.E.L. previously served as a consultant to SHERLOCK Biosciences. J.B. has received research funding from Analog Devices, Inc., Zeus Scientific, Immunetics, Pfizer, DiaSorin, and bioMerieux and has been a paid consultant to T2 Biosystems, DiaSorin, and Roche Diagnostics. The remaining authors have nothing to disclose.
- Published
- 2023
- Full Text
- View/download PDF
30. Inferring Viral Transmission Pathways from Within-Host Variation.
- Author
-
Specht IOA, Petros BA, Moreno GK, Brock-Fisher T, Krasilnikova LA, Schifferli M, Yang K, Cronan P, Glennon O, Schaffner SF, Park DJ, MacInnis BL, Ozonoff A, Fry B, Mitzenmacher MD, Varilly P, and Sabeti PC
- Abstract
Genome sequencing can offer critical insight into pathogen spread in viral outbreaks, but existing transmission inference methods use simplistic evolutionary models and only incorporate a portion of available genetic data. Here, we develop a robust evolutionary model for transmission reconstruction that tracks the genetic composition of within-host viral populations over time and the lineages transmitted between hosts. We confirm that our model reliably describes within-host variant frequencies in a dataset of 134,682 SARS-CoV-2 deep-sequenced genomes from Massachusetts, USA. We then demonstrate that our reconstruction approach infers transmissions more accurately than two leading methods on synthetic data, as well as in a controlled outbreak of bovine respiratory syncytial virus and an epidemiologically-investigated SARS-CoV-2 outbreak in South Africa. Finally, we apply our transmission reconstruction tool to 5,692 outbreaks among the 134,682 Massachusetts genomes. Our methods and results demonstrate the utility of within-host variation for transmission inference of SARS-CoV-2 and other pathogens, and provide an adaptable mathematical framework for tracking within-host evolution., Competing Interests: DECLARATIONS OF INTERESTS P.C.S. is a co-founder and shareholder of Sherlock Biosciences and Delve Bio and is a non-executive board member and shareholder of Danaher Corporation. P.C.S. is an inventor on patents related to diagnostics and Bluetooth-based contact tracing tools and technologies filed with the USPTO and other intellectual property bodies. A patent application has been filed on inventions described in this manuscript. All other authors declare no competing interests.
- Published
- 2023
- Full Text
- View/download PDF
31. Pan-viral ORFs discovery using Massively Parallel Ribosome Profiling.
- Author
-
Weingarten-Gabbay S, Bauer MR, Stanton AC, Klaeger S, Verzani EK, López D, Clauser KR, Carr SA, Abelin JG, Rice CM, and Sabeti PC
- Abstract
Unveiling the complete proteome of viruses is crucial to our understanding of the viral life cycle and interaction with the host. We developed Massively Parallel Ribosome Profiling (MPRP) to experimentally determine open reading frames (ORFs) in 20,170 designed oligonucleotides across 679 human-associated viral genomes. We identified 5,381 ORFs, including 4,208 non-canonical ORFs, and show successful detection of both annotated coding sequences (CDSs) and reported non-canonical ORFs. By examining immunopeptidome datasets of infected cells, we found class I human leukocyte antigen (HLA-I) peptides originating from non-canonical ORFs identified through MPRP. By inspecting ribosome occupancies on the 5'UTR and CDS regions of annotated viral genes, we identified hundreds of upstream ORFs (uORFs) that negatively regulate the synthesis of canonical viral proteins. The unprecedented source of viral ORFs across a wide range of viral families, including highly pathogenic viruses, expands the repertoire of vaccine targets and exposes new cis-regulatory sequences in viral genomes.
- Published
- 2023
- Full Text
- View/download PDF
32. Recommendations on data sharing in HIV drug resistance research.
- Author
-
Inzaule SC, Siedner MJ, Little SJ, Avila-Rios S, Ayitewala A, Bosch RJ, Calvez V, Ceccherini-Silberstein F, Charpentier C, Descamps D, Eshleman SH, Fokam J, Frenkel LM, Gupta RK, Ioannidis JPA, Kaleebu P, Kantor R, Kassaye SG, Kosakovsky Pond SL, Kouamou V, Kouyos RD, Kuritzkes DR, Lessells R, Marcelin AG, Mbuagbaw L, Minalga B, Ndembi N, Neher RA, Paredes R, Pillay D, Raizes EG, Rhee SY, Richman DD, Ruxrungtham K, Sabeti PC, Schapiro JM, Sirivichayakul S, Steegen K, Sugiura W, van Zyl GU, Vandamme AM, Wensing AMJ, Wertheim JO, Gunthard HF, Jordan MR, and Shafer RW
- Subjects
- Humans, Phylogeny, Drug Resistance, Viral genetics, Anti-Retroviral Agents therapeutic use, Mutation, HIV Infections drug therapy, HIV Infections epidemiology, HIV-1 genetics, Anti-HIV Agents pharmacology, Anti-HIV Agents therapeutic use
- Abstract
• Human immunodeficiency virus (HIV) drug resistance has implications for antiretroviral treatment strategies and for containing the HIV pandemic because the development of HIV drug resistance leads to the requirement for antiretroviral drugs that may be less effective, less well-tolerated, and more expensive than those used in first-line regimens. • HIV drug resistance studies are designed to determine which HIV mutations are selected by antiretroviral drugs and, in turn, how these mutations affect antiretroviral drug susceptibility and response to future antiretroviral treatment regimens. • Such studies collectively form a vital knowledge base essential for monitoring global HIV drug resistance trends, interpreting HIV genotypic tests, and updating HIV treatment guidelines. • Although HIV drug resistance data are collected in many studies, such data are often not publicly shared, prompting the need to recommend best practices to encourage and standardize HIV drug resistance data sharing. • In contrast to other viruses, sharing HIV sequences from phylogenetic studies of transmission dynamics requires additional precautions as HIV transmission is criminalized in many countries and regions. • Our recommendations are designed to ensure that the data that contribute to HIV drug resistance knowledge will be available without undue hardship to those publishing HIV drug resistance studies and without risk to people living with HIV., Competing Interests: SJL has received research funding paid to her institution from Gilead Sciences. VC has received travel grants, advisor honorarium and research grant from Merck Sharp & Dohme, ViiV Healthcare and Gilead Sciences. FCS has been a consultant to ViiV Healthcare, Gilead Sciences and Merck Sharp & Dohme, and received research grants paid to her institution from Gilead Sciences. CC has received honoraria and conference travels grants from Merck Sharp & Dohme, Gilead Sciences, and ViiV Healthcare. DD has received honoraria for participation in advisory boards and conference travel grants ViiV Healthcare, Gilead Sciences, Janssen Pharmaceuticals, and Merck Sharp & Dohme. LF has received NIH research grants paid to her institution. RKG has received honoraria for participation on advisory boards from Gilead-Sciences and GlaxoSmithKline. RDK has received research grants from Gilead Sciences paid to his institution. DRK is a consultant to and has received honoraria from AbbVie, Gilead Sciences, GlaxoSmithKline, Janssen Pharmaceuticals, Merck, Roche, and ViiV Healthcare. DRK has also received honoraria from Gilead for expert testimony and speaking fees from Gilead Sciences and Janssen Pharmaceuticals and has received research support paid to his institution from Gilead Sciences, Merck, and ViiV Healthcare. AGM received travel grants, honoraria and study grants from Gilead Sciences, Merck Sharp & Dohme, ViiV Healthcare, GlaxoSmithKline, Roche, and Astra Zeneca. RP has received research grants paid to his institution from Merck Sharp & Dohme and ViiV Healthcare and consulting fees from Gilead Sciences, Merck Sharp & Dohme, GlaxoSmithKline, Atea Pharmaceuticals, Roche, and Shinogi Pharmaceuticals. PCS is a co-founder of, shareholder in, and consultant to Sherlock Biosciences and Delve Bio, and a board member of and shareholder in Danaher Corporation. JMS has received research support, honorarium, or consulting fees from the following: Abbvie, Merck, Gilead Sciences, GlaxoSmithKline, Tibotec-Janssen, Teva, Virology Education and ViiV Healthcare. He has received travel support and stipends for advisory work for the World Health Organization. WS has received speaking honoraria from GlaxoSmithKline, ViiV Healthcare, Merck Sharp & Dohme, Pfizer, and Abbott Pharmaceuticals. AMJW has received research support paid to her institution by Gilead Sciences and has consulted for Gilead Sciences and ViiV Healthcare. JOW receives funding from grants and contracts to his institution from NIH and CDC pertaining to work on HIV molecular epidemiology. HFG has received grants paid to his institution from Gilead Sciences, and Roche, and has received consulting fees from Merck, Gilead Sciences, ViiV Healthcare, Janssen Pharmaceuticals, GlaxoSmithKline, Johnson and Johnson, and Novartis. RWS has received honoraria for participation in advisory boards from Gilead Sciences and GlaxoSmithKline and speaking honoraria from Gilead Sciences and ViiV Healthcare., (Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.)
- Published
- 2023
- Full Text
- View/download PDF
33. Model-directed generation of CRISPR-Cas13a guide RNAs designs artificial sequences that improve nucleic acid detection.
- Author
-
Mantena S, Pillai PP, Petros BA, Welch NL, Myhrvold C, Sabeti PC, and Metsky HC
- Abstract
Generating maximally-fit biological sequences has the potential to transform CRISPR guide RNA design as it has other areas of biomedicine. Here, we introduce model-directed exploration algorithms (MEAs) for designing maximally-fit, artificial CRISPR-Cas13a guides-with multiple mismatches to any natural sequence-that are tailored for desired properties around nucleic acid diagnostics. We find that MEA-designed guides offer more sensitive detection of diverse pathogens and discrimination of pathogen variants compared to guides derived directly from natural sequences, and illuminate interpretable design principles that broaden Cas13a targeting., Competing Interests: Competing interests S.M., P.P.P., H.C.M., and P.C.S. are co-inventors on patent applications filed by the Broad Institute related to work in this study. H.C.M. is an employee of and holds equity in Inceptive Nucleics, Inc. P.C.S. is a co-founder of and consultant to Sherlock Biosciences and Delve Bio, and is a Board Member of Danaher Corporation, and holds equity in all three companies. C.M. is a co-founder of Carver Biosciences and holds equity in the company. The other authors declare no competing interests.
- Published
- 2023
- Full Text
- View/download PDF
34. Whole genome sequencing of human Borrelia burgdorferi isolates reveals linked blocks of accessory genome elements located on plasmids and associated with human dissemination.
- Author
-
Lemieux JE, Huang W, Hill N, Cerar T, Freimark L, Hernandez S, Luban M, Maraspin V, Bogovič P, Ogrinc K, Ruzič-Sabljič E, Lapierre P, Lasek-Nesselquist E, Singh N, Iyer R, Liveris D, Reed KD, Leong JM, Branda JA, Steere AC, Wormser GP, Strle F, Sabeti PC, Schwartz I, and Strle K
- Subjects
- Humans, Genotype, Whole Genome Sequencing, Plasmids genetics, Borrelia burgdorferi genetics, Lyme Disease
- Abstract
Lyme disease is the most common vector-borne disease in North America and Europe. The clinical manifestations of Lyme disease vary based on the genospecies of the infecting Borrelia burgdorferi spirochete, but the microbial genetic elements underlying these associations are not known. Here, we report the whole genome sequence (WGS) and analysis of 299 B. burgdorferi (Bb) isolates derived from patients in the Eastern and Midwestern US and Central Europe. We develop a WGS-based classification of Bb isolates, confirm and extend the findings of previous single- and multi-locus typing systems, define the plasmid profiles of human-infectious Bb isolates, annotate the core and strain-variable surface lipoproteome, and identify loci associated with disseminated infection. A core genome consisting of ~900 open reading frames and a core set of plasmids consisting of lp17, lp25, lp36, lp28-3, lp28-4, lp54, and cp26 are found in nearly all isolates. Strain-variable (accessory) plasmids and genes correlate strongly with phylogeny. Using genetic association study methods, we identify an accessory genome signature associated with dissemination in humans and define the individual plasmids and genes that make up this signature. Strains within the RST1/WGS A subgroup, particularly a subset marked by the OspC type A genotype, have increased rates of dissemination in humans. OspC type A strains possess a unique set of strongly linked genetic elements including the presence of lp56 and lp28-1 plasmids and a cluster of genes that may contribute to their enhanced virulence compared to other genotypes. These features of OspC type A strains reflect a broader paradigm across Bb isolates, in which near-clonal genotypes are defined by strain-specific clusters of linked genetic elements, particularly those encoding surface-exposed lipoproteins. These clusters of genes are maintained by strain-specific patterns of plasmid occupancy and are associated with the probability of invasive infection., Competing Interests: P.C.S. is a co-founder of, shareholder in, and consultant to Sherlock Biosciences and Delve Bio, as well as a board member of and shareholder in Danaher Corporation. K.S. served as a consultant for T2 Biosystems, Roche, BioMerieux, and NYS Biodefense Fund, for the development of a diagnostic assay in Lyme borreliosis, and is currently employed at Takeda. F.S. served on the scientific advisory board for Roche on Lyme disease serological diagnostics and on the scientific advisory board for Pfizer on Lyme disease vaccine, and is an unpaid member of the steering committee of the ESCMID Study Group on Lyme Borreliosis/ESGBOR. J.A.B. has received research funding from Analog Devices Inc., Zeus Scientific, Immunetics, Pfizer, DiaSorin and bioMerieux, and has been a paid consultant to T2 Biosystems, DiaSorin, and Roche Diagnostics. G.P.W. reports receiving research grants from Institute for Systems Biology, Biopeptides, Corp., and Pfizer, Inc. He has been an expert witness in malpractice cases involving Lyme disease and babesiosis; and is an unpaid board member of the non-profit American Lyme Disease Foundation. J.E.L previously served as a consultant to Sherlock Biosciences., (Copyright: © 2023 Lemieux et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2023
- Full Text
- View/download PDF
35. Improving diagnosis of non-malarial fevers in Senegal: Borrelia and the contribution of tick-borne bacteria.
- Author
-
Levine ZC, Sene A, Mkandawire W, Deme AB, Ndiaye T, Sy M, Gaye A, Diedhiou Y, Mbaye AM, Ndiaye I, Gomis J, Ndiop M, Sene D, Paye MF, MacInnis B, Schaffner SF, Park DJ, Badiane AS, Colubri A, Ndiaye M, Sy N, Sabeti PC, Ndiaye D, and Siddle KJ
- Abstract
The worldwide decline in malaria incidence is revealing the extensive burden of non-malarial febrile illness (NMFI), which remains poorly understood and difficult to diagnose. To characterize NMFI in Senegal, we collected venous blood and clinical metadata from febrile patients and healthy controls in a low malaria burden area. Using 16S and unbiased sequencing, we detected viral, bacterial, or eukaryotic pathogens in 29% of NMFI cases. Bacteria were the most common, with relapsing fever Borrelia and spotted fever Rickettsia found in 15% and 3.7% of cases, respectively. Four viral pathogens were found in a total of 7 febrile cases (3.5%). Sequencing also detected undiagnosed Plasmodium , including one putative P. ovale infection. We developed a logistic regression model to distinguish Borrelia from NMFIs with similar presentation based on symptoms and vital signs. These results highlight the challenge and importance of improved diagnostics, especially for Borrelia , to support diagnosis and surveillance., Competing Interests: Competing Interests P.C.S. is a co-founder of, shareholder in, and consultant to Sherlock Biosciences, Inc. and Delve Bio, as well as a Board member of and shareholder in Danaher Corporation.
- Published
- 2023
- Full Text
- View/download PDF
36. Machine-guided design of synthetic cell type-specific cis -regulatory elements.
- Author
-
Gosai SJ, Castro RI, Fuentes N, Butts JC, Kales S, Noche RR, Mouri K, Sabeti PC, Reilly SK, and Tewhey R
- Abstract
Cis -regulatory elements (CREs) control gene expression, orchestrating tissue identity, developmental timing, and stimulus responses, which collectively define the thousands of unique cell types in the body. While there is great potential for strategically incorporating CREs in therapeutic or biotechnology applications that require tissue specificity, there is no guarantee that an optimal CRE for an intended purpose has arisen naturally through evolution. Here, we present a platform to engineer and validate synthetic CREs capable of driving gene expression with programmed cell type specificity. We leverage innovations in deep neural network modeling of CRE activity across three cell types, efficient in silico optimization, and massively parallel reporter assays (MPRAs) to design and empirically test thousands of CREs. Through in vitro and in vivo validation, we show that synthetic sequences outperform natural sequences from the human genome in driving cell type-specific expression. Synthetic sequences leverage unique sequence syntax to promote activity in the on-target cell type and simultaneously reduce activity in off-target cells. Together, we provide a generalizable framework to prospectively engineer CREs and demonstrate the required literacy to write regulatory code that is fit-for-purpose in vivo across vertebrates., Competing Interests: Competing Interests PCS is a co-founder of and consultant to Sherlock Biosciences and Board Member of Danaher Corporation. PCS and RT have filed intellectual property related to MPRA. SJG, RIC, SKR, PCS, and RT have filed a provisional patent application related to work described here.
- Published
- 2023
- Full Text
- View/download PDF
37. Metagenomic surveillance uncovers diverse and novel viral taxa in febrile patients from Nigeria.
- Author
-
Oguzie JU, Petros BA, Oluniyi PE, Mehta SB, Eromon PE, Nair P, Adewale-Fasoro O, Ifoga PD, Odia I, Pastusiak A, Gbemisola OS, Aiyepada JO, Uyigue EA, Edamhande AP, Blessing O, Airende M, Tomkins-Tinch C, Qu J, Stenson L, Schaffner SF, Oyejide N, Ajayi NA, Ojide K, Ogah O, Abejegah C, Adedosu N, Ayodeji O, Liasu AA, Okogbenin S, Okokhere PO, Park DJ, Folarin OA, Komolafe I, Ihekweazu C, Frost SDW, Jackson EK, Siddle KJ, Sabeti PC, and Happi CT
- Subjects
- Humans, Nigeria epidemiology, Metagenomics, Lassa virus genetics, Lassa Fever diagnosis, Lassa Fever epidemiology, Viruses genetics
- Abstract
Effective infectious disease surveillance in high-risk regions is critical for clinical care and pandemic preemption; however, few clinical diagnostics are available for the wide range of potential human pathogens. Here, we conduct unbiased metagenomic sequencing of 593 samples from febrile Nigerian patients collected in three settings: i) population-level surveillance of individuals presenting with symptoms consistent with Lassa Fever (LF); ii) real-time investigations of outbreaks with suspected infectious etiologies; and iii) undiagnosed clinically challenging cases. We identify 13 distinct viruses, including the second and third documented cases of human blood-associated dicistrovirus, and a highly divergent, unclassified dicistrovirus that we name human blood-associated dicistrovirus 2. We show that pegivirus C is a common co-infection in individuals with LF and is associated with lower Lassa viral loads and favorable outcomes. We help uncover the causes of three outbreaks as yellow fever virus, monkeypox virus, and a noninfectious cause, the latter ultimately determined to be pesticide poisoning. We demonstrate that a local, Nigerian-driven metagenomics response to complex public health scenarios generates accurate, real-time differential diagnoses, yielding insights that inform policy., (© 2023. Springer Nature Limited.)
- Published
- 2023
- Full Text
- View/download PDF
38. Antigen test swabs are comparable to nasopharyngeal swabs for sequencing of SARS-CoV-2.
- Author
-
Hassouneh SA, Trujillo A, Ali S, Cella E, Johnston C, DeRuff KC, Sabeti PC, and Azarian T
- Subjects
- Humans, SARS-CoV-2 genetics, Ambulatory Care Facilities, Nasopharynx, COVID-19 diagnosis, Cardiology
- Abstract
Viral genomic surveillance has been integral in the global response to the SARS-CoV-2 pandemic. Surveillance efforts rely on the availability of representative clinical specimens from ongoing testing activities. However, testing practices have recently shifted due to the widespread availability and use of rapid antigen tests, which could lead to gaps in future monitoring efforts. As such, genomic surveillance strategies must adapt to include laboratory workflows that are robust to sample type. To that end, we compare the results of RT-qPCR and viral genome sequencing using samples from positive BinaxNOW COVID-19 Antigen Card swabs (N = 555) to those obtained from nasopharyngeal (NP) swabs used for nucleic acid amplification testing (N = 135). We show that swabs obtained from antigen cards are comparable in performance to samples from NP swabs, providing a viable alternative and allowing for the potential expansion of viral genomic surveillance to outpatient clinic as well as other settings where rapid antigen tests are often used., (© 2023. The Author(s).)
- Published
- 2023
- Full Text
- View/download PDF
39. CRISPR-Cas-amplified urinary biomarkers for multiplexed and portable cancer diagnostics.
- Author
-
Hao L, Zhao RT, Welch NL, Tan EKW, Zhong Q, Harzallah NS, Ngambenjawong C, Ko H, Fleming HE, Sabeti PC, and Bhatia SN
- Subjects
- Humans, Animals, Mice, CRISPR-Cas Systems genetics, DNA, Biomarkers, Tumor Microenvironment, Neoplasms diagnosis, Neoplasms genetics, Nucleic Acids
- Abstract
Synthetic biomarkers, bioengineered sensors that generate molecular reporters in diseased microenvironments, represent an emerging paradigm in precision diagnostics. Despite the utility of DNA barcodes as a multiplexing tool, their susceptibility to nucleases in vivo has limited their utility. Here we exploit chemically stabilized nucleic acids to multiplex synthetic biomarkers and produce diagnostic signals in biofluids that can be 'read out' via CRISPR nucleases. The strategy relies on microenvironmental endopeptidase to trigger the release of nucleic acid barcodes and polymerase-amplification-free, CRISPR-Cas-mediated barcode detection in unprocessed urine. Our data suggest that DNA-encoded nanosensors can non-invasively detect and differentiate disease states in transplanted and autochthonous murine cancer models. We also demonstrate that CRISPR-Cas amplification can be harnessed to convert the readout to a point-of-care paper diagnostic tool. Finally, we employ a microfluidic platform for densely multiplexed, CRISPR-mediated DNA barcode readout that can potentially evaluate complex human diseases rapidly and guide therapeutic decisions., (© 2023. The Author(s).)
- Published
- 2023
- Full Text
- View/download PDF
40. Single-cell profiling of lncRNA expression during Ebola virus infection in rhesus macaques.
- Author
-
Santus L, Sopena-Rios M, García-Pérez R, Lin AE, Adams GC, Barnes KG, Siddle KJ, Wohl S, Reverter F, Rinn JL, Bennett RS, Hensley LE, Sabeti PC, and Melé M
- Subjects
- Animals, Macaca mulatta, Virus Internalization, Hemorrhagic Fever, Ebola genetics, RNA, Long Noncoding genetics, Ebolavirus genetics
- Abstract
Long non-coding RNAs (lncRNAs) are involved in numerous biological processes and are pivotal mediators of the immune response, yet little is known about their properties at the single-cell level. Here, we generate a multi-tissue bulk RNAseq dataset from Ebola virus (EBOV) infected and not-infected rhesus macaques and identified 3979 novel lncRNAs. To profile lncRNA expression dynamics in immune circulating single-cells during EBOV infection, we design a metric, Upsilon, to estimate cell-type specificity. Our analysis reveals that lncRNAs are expressed in fewer cells than protein-coding genes, but they are not expressed at lower levels nor are they more cell-type specific when expressed in the same number of cells. In addition, we observe that lncRNAs exhibit similar changes in expression patterns to those of protein-coding genes during EBOV infection, and are often co-expressed with known immune regulators. A few lncRNAs change expression specifically upon EBOV entry in the cell. This study sheds light on the differential features of lncRNAs and protein-coding genes and paves the way for future single-cell lncRNA studies., (© 2023. The Author(s).)
- Published
- 2023
- Full Text
- View/download PDF
41. The HLA-II immunopeptidome of SARS-CoV-2.
- Author
-
Weingarten-Gabbay S, Chen DY, Sarkizova S, Taylor HB, Gentili M, Pearlman LR, Bauer MR, Rice CM, Clauser KR, Hacohen N, Carr SA, Abelin JG, Saeed M, and Sabeti PC
- Abstract
Targeted synthetic vaccines have the potential to transform our response to viral outbreaks; yet the design of these vaccines requires a comprehensive knowledge of viral immunogens, including T-cell epitopes. Having previously mapped the SARS-CoV-2 HLA-I landscape, here we report viral peptides that are naturally processed and loaded onto HLA-II complexes in infected cells. We identified over 500 unique viral peptides from canonical proteins, as well as from overlapping internal open reading frames (ORFs), revealing, for the first time, the contribution of internal ORFs to the HLA-II peptide repertoire. Most HLA-II peptides co-localized with the known CD4+ T cell epitopes in COVID-19 patients. We also observed that two reported immunodominant regions in the SARS-CoV-2 membrane protein are formed at the level of HLA-II presentation. Overall, our analyses show that HLA-I and HLA-II pathways target distinct viral proteins, with the structural proteins accounting for most of the HLA-II peptidome and non-structural and non-canonical proteins accounting for the majority of the HLA-I peptidome. These findings highlight the need for a vaccine design that incorporates multiple viral elements harboring CD4+ and CD8+ T cell epitopes to maximize the vaccine effectiveness.
- Published
- 2023
- Full Text
- View/download PDF
42. Evolutionary constraint and innovation across hundreds of placental mammals.
- Author
-
Christmas MJ, Kaplow IM, Genereux DP, Dong MX, Hughes GM, Li X, Sullivan PF, Hindle AG, Andrews G, Armstrong JC, Bianchi M, Breit AM, Diekhans M, Fanter C, Foley NM, Goodman DB, Goodman L, Keough KC, Kirilenko B, Kowalczyk A, Lawless C, Lind AL, Meadows JRS, Moreira LR, Redlich RW, Ryan L, Swofford R, Valenzuela A, Wagner F, Wallerman O, Brown AR, Damas J, Fan K, Gatesy J, Grimshaw J, Johnson J, Kozyrev SV, Lawler AJ, Marinescu VD, Morrill KM, Osmanski A, Paulat NS, Phan BN, Reilly SK, Schäffer DE, Steiner C, Supple MA, Wilder AP, Wirthlin ME, Xue JR, Birren BW, Gazal S, Hubley RM, Koepfli KP, Marques-Bonet T, Meyer WK, Nweeia M, Sabeti PC, Shapiro B, Smit AFA, Springer MS, Teeling EC, Weng Z, Hiller M, Levesque DL, Lewin HA, Murphy WJ, Navarro A, Paten B, Pollard KS, Ray DA, Ruf I, Ryder OA, Pfenning AR, Lindblad-Toh K, and Karlsson EK
- Subjects
- Animals, Female, Humans, Conserved Sequence genetics, Genome, Human, Eutheria genetics, Evolution, Molecular
- Abstract
Zoonomia is the largest comparative genomics resource for mammals produced to date. By aligning genomes for 240 species, we identify bases that, when mutated, are likely to affect fitness and alter disease risk. At least 332 million bases (~10.7%) in the human genome are unusually conserved across species (evolutionarily constrained) relative to neutrally evolving repeats, and 4552 ultraconserved elements are nearly perfectly conserved. Of 101 million significantly constrained single bases, 80% are outside protein-coding exons and half have no functional annotations in the Encyclopedia of DNA Elements (ENCODE) resource. Changes in genes and regulatory elements are associated with exceptional mammalian traits, such as hibernation, that could inform therapeutic development. Earth's vast and imperiled biodiversity offers distinctive power for identifying genetic variants that affect genome function and organismal phenotypes.
- Published
- 2023
- Full Text
- View/download PDF
43. The functional and evolutionary impacts of human-specific deletions in conserved elements.
- Author
-
Xue JR, Mackay-Smith A, Mouri K, Garcia MF, Dong MX, Akers JF, Noble M, Li X, Lindblad-Toh K, Karlsson EK, Noonan JP, Capellini TD, Brennand KJ, Tewhey R, Sabeti PC, and Reilly SK
- Subjects
- Humans, Conserved Sequence genetics, Genome, Genomics, RNA-Binding Proteins genetics, Evolution, Molecular, Sequence Deletion, Brain growth & development, Gene Expression Regulation, Developmental
- Abstract
Conserved genomic sequences disrupted in humans may underlie uniquely human phenotypic traits. We identified and characterized 10,032 human-specific conserved deletions (hCONDELs). These short (average 2.56 base pairs) deletions are enriched for human brain functions across genetic, epigenomic, and transcriptomic datasets. Using massively parallel reporter assays in six cell types, we discovered 800 hCONDELs conferring significant differences in regulatory activity, half of which enhance rather than disrupt regulatory function. We highlight several hCONDELs with putative human-specific effects on brain development, including HDAC5 , CPEB4 , and PPP2CA . Reverting an hCONDEL to the ancestral sequence alters the expression of LOXL2 and developmental genes involved in myelination and synaptic function. Our data provide a rich resource to investigate the evolutionary mechanisms driving new traits in humans and other species.
- Published
- 2023
- Full Text
- View/download PDF
44. Viral Lineages in the 2022 RSV Surge in the United States.
- Author
-
Adams G, Moreno GK, Petros BA, Uddin R, Levine Z, Kotzen B, Messer KS, Dobbins ST, DeRuff KC, Loreth CM, Brock-Fisher T, Schaffner SF, Chaluvadi S, Kanjilal S, Luban J, Ozonoff A, Park DJ, Turbett SE, Siddle KJ, MacInnis BL, Sabeti PC, and Lemieux JE
- Subjects
- Humans, Infant, Seasons, United States epidemiology, Respiratory Syncytial Virus Infections epidemiology, Respiratory Syncytial Virus Infections genetics, Respiratory Syncytial Virus Infections virology, Disease Outbreaks, Respiratory Syncytial Viruses genetics
- Published
- 2023
- Full Text
- View/download PDF
45. Protecting public health in Iran in the face of oppression.
- Author
-
Patel T, Hammond A, Nasari A, Sani K, Dee EC, Jain B, and Sabeti PC
- Subjects
- Humans, Iran epidemiology, Public Health, Mental Disorders
- Published
- 2023
- Full Text
- View/download PDF
46. Neuropathological features of SARS-CoV-2 delta and omicron variants.
- Author
-
Normandin E, Valizadeh N, Rudmann EA, Uddin R, Dobbins ST, MacInnis BL, Padera RF, Siddle KJ, Lemieux JE, Sabeti PC, Mukerji SS, and Solomon IH
- Subjects
- Humans, SARS-CoV-2, Neuropathology, COVID-19, Stroke
- Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is continually evolving resulting in variants with increased transmissibility, more severe disease, reduced effectiveness of treatments or vaccines, or diagnostic detection failure. The SARS-CoV-2 Delta variant (B.1.617.2 and AY lineages) was the dominant circulating strain in the United States from July to mid-December 2021, followed by the Omicron variant (B.1.1.529 and BA lineages). Coronavirus disease 2019 (COVID-19) has been associated with neurological sequelae including loss of taste/smell, headache, encephalopathy, and stroke, yet little is known about the impact of viral strain on neuropathogenesis. Detailed postmortem brain evaluations were performed for 22 patients from Massachusetts, including 12 who died following infection with Delta variant and 5 with Omicron variant, compared to 5 patients who died earlier in the pandemic. Diffuse hypoxic injury, occasional microinfarcts and hemorrhage, perivascular fibrinogen, and rare lymphocytes were observed across the 3 groups. SARS-CoV-2 protein and RNA were not detected in any brain samples by immunohistochemistry, in situ hybridization, or real-time quantitative PCR. These results, although preliminary, demonstrate that, among a subset of severely ill patients, similar neuropathological features are present in Delta, Omicron, and non-Delta/non-Omicron variant patients, suggesting that SARS-CoV-2 variants are likely to affect the brain by common neuropathogenic mechanisms., (© The Author(s) 2023. Published by Oxford University Press on behalf of American Association of Neuropathologists, Inc. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
- Published
- 2023
- Full Text
- View/download PDF
47. Distinguishing Severe Acute Respiratory Syndrome Coronavirus 2 Persistence and Reinfection: A Retrospective Cohort Study.
- Author
-
Turbett SE, Tomkins-Tinch CH, Anahtar MN, Dugdale CM, Hyle EP, Shenoy ES, Shaw B, Egbuonu K, Bowman KA, Zachary KC, Adams GC, Hooper DC, Ryan ET, LaRocque RC, Bassett IV, Triant VA, Siddle KJ, Rosenberg E, Sabeti PC, Schaffner SF, MacInnis BL, Lemieux JE, and Charles RC
- Subjects
- Humans, COVID-19 Testing, Reinfection diagnosis, Retrospective Studies, SARS-CoV-2 genetics, RNA, COVID-19 diagnosis
- Abstract
Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfection is poorly understood, partly because few studies have systematically applied genomic analysis to distinguish reinfection from persistent RNA detection related to initial infection. We aimed to evaluate the characteristics of SARS-CoV-2 reinfection and persistent RNA detection using independent genomic, clinical, and laboratory assessments., Methods: All individuals at a large academic medical center who underwent a SARS-CoV-2 nucleic acid amplification test (NAAT) ≥45 days after an initial positive test, with both tests between 14 March and 30 December 2020, were analyzed for potential reinfection. Inclusion criteria required having ≥2 positive NAATs collected ≥45 days apart with a cycle threshold (Ct) value <35 at repeat testing. For each included subject, likelihood of reinfection was assessed by viral genomic analysis of all available specimens with a Ct value <35, structured Ct trajectory criteria, and case-by-case review by infectious diseases physicians., Results: Among 1569 individuals with repeat SARS-CoV-2 testing ≥45 days after an initial positive NAAT, 65 (4%) met cohort inclusion criteria. Viral genomic analysis characterized mutations present and was successful for 14/65 (22%) subjects. Six subjects had genomically supported reinfection, and 8 subjects had genomically supported persistent RNA detection. Compared to viral genomic analysis, clinical and laboratory assessments correctly distinguished reinfection from persistent RNA detection in 12/14 (86%) subjects but missed 2/6 (33%) genomically supported reinfections., Conclusions: Despite good overall concordance with viral genomic analysis, clinical and Ct value-based assessments failed to identify 33% of genomically supported reinfections. Scaling-up genomic analysis for clinical use would improve detection of SARS-CoV-2 reinfections., Competing Interests: Potential conflicts of interest. M. N. A. is an equity holder and consultant to Day Zero Diagnostics (company does not work on SARS-CoV-2). P. C. S. is a co-founder of, shareholder in, and scientific advisor to Sherlock Biosciences, Inc (2019–present); she is also a Board member of and shareholder in Danaher Corporation (2019–present), and co-founder and consultant to Delve Bio (2022–present). P. C. S. has filed IP related to genome sequencing and analysis. P. C. S. also reports that Sherlock Biosciences has licensed technology from the author and her lab on CRISPR-based diagnostics and has received consulting fees from the same; stock or stock options with Polaris Genomics (investor and future scientific advisory board [SAB] member) and NextGen Jane (former SAB member and investor). I. V. B. reports an unrelated NIH grant number R01AI042006-24S1. E. S. S. reports unrelated grants or contracts from CDC, Assistant Secretary for Preparedness and Response, MIT/Quanta; payment or honoraria as a writer for Up To Date (2022 to current) and for a single lecture on COVID Infection Prevention to Vertex Pharmaceuticals, 2020; roles as President of Massachusetts Infectious Diseases Society, Vice-Chair of Public Policy and Government Affairs Committee, Society for Healthcare Epidemiology of America, and Member of Boston Biosafety Committee, Boston Public Health Commission. K. A. B, reports NIH training grant 5T32 AI007387-32, unrelated to this work. C. M. D. reports grants paid to institution (NIH/National Institute of Child Health and Human Development [NICHD] grant number K08 HD101342; Harvard University Center for AIDS Research [CFAR]; and MGH Executive Committee on Research), payments to institution from CDC; and contracts to institution from International AIDS Vaccine Initiative and NIH/IMPAACT Network. R. C. L. reports grant from CDC: U01-CK000633; UpToDate: Royalties for Authorship; payment or honoraria from CDC Foundation: Editorial Services; a leadership or fiduciary role on the board of Greater Boston Physicians for Social Responsibility. J. E. L. reports consulting fees 2019–2020 from Sherlock Biosciences; and honorarium from Virology Education. E. R. reports participation as PPD member of the Moderna Clinical Endpoint Adjudication Committee. S. E. T. reports royalties from UpToDate; travel support for attending Duke Clinical Research Institute meeting on preparing for the next pandemic; and reports that her husband is a partner and has equity in an economic consulting firm (Analysis Group Inc.) that provides consulting services for life science companies among many others. E. P. H. reports grants or contracts unrelated to this work and paid to institution from NIH and MGH; royalties paid to author from UpToDate. All other authors report no conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed., (© The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America.)
- Published
- 2023
- Full Text
- View/download PDF
48. Whole genome sequencing of Borrelia burgdorferi isolates reveals linked clusters of plasmid-borne accessory genome elements associated with virulence.
- Author
-
Lemieux JE, Huang W, Hill N, Cerar T, Freimark L, Hernandez S, Luban M, Maraspin V, Bogovic P, Ogrinc K, Ruzic-Sabljic E, Lapierre P, Lasek-Nesselquist E, Singh N, Iyer R, Liveris D, Reed KD, Leong JM, Branda JA, Steere AC, Wormser GP, Strle F, Sabeti PC, Schwartz I, and Strle K
- Abstract
Lyme disease is the most common vector-borne disease in North America and Europe. The clinical manifestations of Lyme disease vary based on the genospecies of the infecting Borrelia burgdorferi spirochete, but the microbial genetic elements underlying these associations are not known. Here, we report the whole genome sequence (WGS) and analysis of 299 patient-derived B. burgdorferi sensu stricto ( Bbss ) isolates from patients in the Eastern and Midwestern US and Central Europe. We develop a WGS-based classification of Bbss isolates, confirm and extend the findings of previous single- and multi-locus typing systems, define the plasmid profiles of human-infectious Bbss isolates, annotate the core and strain-variable surface lipoproteome, and identify loci associated with disseminated infection. A core genome consisting of ∼800 open reading frames and a core set of plasmids consisting of lp17, lp25, lp36, lp28-3, lp28-4, lp54, and cp26 are found in nearly all isolates. Strain-variable (accessory) plasmids and genes correlate strongly with phylogeny. Using genetic association study methods, we identify an accessory genome signature associated with dissemination and define the individual plasmids and genes that make up this signature. Strains within the RST1/WGS A subgroup, particularly a subset marked by the OspC type A genotype, are associated with increased rates of dissemination. OspC type A strains possess a unique constellation of strongly linked genetic changes including the presence of lp56 and lp28-1 plasmids and a cluster of genes that may contribute to their enhanced virulence compared to other genotypes. The patterns of OspC type A strains typify a broader paradigm across Bbss isolates, in which genetic structure is defined by correlated groups of strain-variable genes located predominantly on plasmids, particularly for expression of surface-exposed lipoproteins. These clusters of genes are inherited in blocks through strain-specific patterns of plasmid occupancy and are associated with the probability of invasive infection.
- Published
- 2023
- Full Text
- View/download PDF
49. Emergence and spread of two SARS-CoV-2 variants of interest in Nigeria.
- Author
-
Olawoye IB, Oluniyi PE, Oguzie JU, Uwanibe JN, Kayode TA, Olumade TJ, Ajogbasile FV, Parker E, Eromon PE, Abechi P, Sobajo TA, Ugwu CA, George UE, Ayoade F, Akano K, Oyejide NE, Nosamiefan I, Fred-Akintunwa I, Adedotun-Sulaiman K, Brimmo FB, Adegboyega BB, Philip C, Adeleke RA, Chukwu GC, Ahmed MI, Ope-Ewe OO, Otitoola SG, Ogunsanya OA, Saibu MF, Sijuwola AE, Ezekiel GO, John OG, Akin-John JO, Akinlo OO, Fayemi OO, Ipaye TO, Nwodo DC, Omoniyi AE, Omwanghe IB, Terkuma CA, Okolie J, Ayo-Ale O, Ikponmwosa O, Benevolence E, Naregose GO, Patience AE, Blessing O, Micheal A, Jacqueline A, Aiyepada JO, Ebhodaghe P, Racheal O, Rita E, Rosemary GE, Solomon E, Anieno E, Edna Y, Chris AO, Donatus AI, Ogbaini-Emovon E, Tatfeng MY, Omunakwe HE, Bob-Manuel M, Ahmed RA, Onwuamah CK, Shaibu JO, Okwuraiwe A, Ataga AE, Bock-Oruma A, Daramola F, Yusuf IF, Fajola A, Ntia NA, Ekpo JJ, Moses AE, Moore-Igwe BW, Fakayode OE, Akinola M, Kida IM, Oderinde BS, Wudiri ZW, Adeyemi OO, Akanbi OA, Ahumibe A, Akinpelu A, Ayansola O, Babatunde O, Omoare AA, Chukwu C, Mba NG, Omoruyi EC, Olisa O, Akande OK, Nwafor IE, Ekeh MA, Ndoma E, Ewah RL, Duruihuoma RO, Abu A, Odeh E, Onyia V, Ojide CK, Okoro S, Igwe D, Ogah EO, Khan K, Ajayi NA, Ugwu CN, Ukwaja KN, Ugwu NI, Abejegah C, Adedosu N, Ayodeji O, Liasu AA, Isamotu RO, Gadzama G, Petros BA, Siddle KJ, Schaffner SF, Akpede G, Erameh CO, Baba MM, Oladiji F, Audu R, Ndodo N, Fowotade A, Okogbenin S, Okokhere PO, Park DJ, Mcannis BL, Adetifa IM, Ihekweazu C, Salako BL, Tomori O, Happi AN, Folarin OA, Andersen KG, Sabeti PC, and Happi CT
- Subjects
- Humans, Nigeria epidemiology, COVID-19 epidemiology, SARS-CoV-2 genetics
- Abstract
Identifying the dissemination patterns and impacts of a virus of economic or health importance during a pandemic is crucial, as it informs the public on policies for containment in order to reduce the spread of the virus. In this study, we integrated genomic and travel data to investigate the emergence and spread of the SARS-CoV-2 B.1.1.318 and B.1.525 (Eta) variants of interest in Nigeria and the wider Africa region. By integrating travel data and phylogeographic reconstructions, we find that these two variants that arose during the second wave in Nigeria emerged from within Africa, with the B.1.525 from Nigeria, and then spread to other parts of the world. Data from this study show how regional connectivity of Nigeria drove the spread of these variants of interest to surrounding countries and those connected by air-traffic. Our findings demonstrate the power of genomic analysis when combined with mobility and epidemiological data to identify the drivers of transmission, as bidirectional transmission within and between African nations are grossly underestimated as seen in our import risk index estimates., (© 2023. The Author(s).)
- Published
- 2023
- Full Text
- View/download PDF
50. Early Introduction and Rise of the Omicron Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variant in Highly Vaccinated University Populations.
- Author
-
Petros BA, Turcinovic J, Welch NL, White LF, Kolaczyk ED, Bauer MR, Cleary M, Dobbins ST, Doucette-Stamm L, Gore M, Nair P, Nguyen TG, Rose S, Taylor BP, Tsang D, Wendlandt E, Hope M, Platt JT, Jacobson KR, Bouton T, Yune S, Auclair JR, Landaverde L, Klapperich CM, Hamer DH, Hanage WP, MacInnis BL, Sabeti PC, Connor JH, and Springer M
- Subjects
- Humans, SARS-CoV-2 genetics, Universities, Boston, COVID-19 epidemiology
- Abstract
Background: The Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is highly transmissible in vaccinated and unvaccinated populations. The dynamics that govern its establishment and propensity toward fixation (reaching 100% frequency in the SARS-CoV-2 population) in communities remain unknown. Here, we describe the dynamics of Omicron at 3 institutions of higher education (IHEs) in the greater Boston area., Methods: We use diagnostic and variant-specifying molecular assays and epidemiological analytical approaches to describe the rapid dominance of Omicron following its introduction into 3 IHEs with asymptomatic surveillance programs., Results: We show that the establishment of Omicron at IHEs precedes that of the state and region and that the time to fixation is shorter at IHEs (9.5-12.5 days) than in the state (14.8 days) or region. We show that the trajectory of Omicron fixation among university employees resembles that of students, with a 2- to 3-day delay. Finally, we compare cycle threshold values in Omicron vs Delta variant cases on college campuses and identify lower viral loads among college affiliates who harbor Omicron infections., Conclusions: We document the rapid takeover of the Omicron variant at IHEs, reaching near-fixation within the span of 9.5-12.5 days despite lower viral loads, on average, than the previously dominant Delta variant. These findings highlight the transmissibility of Omicron, its propensity to rapidly dominate small populations, and the ability of robust asymptomatic surveillance programs to offer early insights into the dynamics of pathogen arrival and spread., Competing Interests: Potential conflicts of interest. M. S. is cofounder of, shareholder in, and advisor to Rhinostics, Inc and reports a patent for an anterior nares swab (US provisional patent application 63/085,571). M. G., D. T., S. R., and E. W. are employed by Integrated DNA Technologies. D. T. reports stock or stock options from Danaher Corporation (payments to author). S. R. reports stock or stock options from Danaher Corporation. C. M. K. is cofounder of Biosens8, Inc and reports grants or contracts unrelated to this work from the NIH National Institute of General Medical Sciences, Defense Advanced Research Projects Agency, Uniformed Services University, and BU; reports consulting fees paid to author from Adventus Research + Consulting, Inc; is a member of the Biomedical Engineering Society Board; and has a leadership or fiduciary role with the American Institute for Medical and Biological Engineering. J. H. C. is a paid consultant for Cell Signaling Technologies and reports funding unrelated to this work from Mass CPR/Evergrande. W. P. H. serves on scientific advisory boards for Biobot Analytics, Inc and Merck; received consulting fees from Biobot Analytics; contributed expert witness testimony on the expected course of the pandemic for Analysis Group; and reports stock or stock options from Biobot Analytics. P. C. S. is a founder of and shareholder in Sherlock Biosciences, reports consulting fees from Sherlock Biosciences, reports patents for CRISPR technology (PCT/US2018/022764 and PCT/US2019/061577), and is on the board and serves as shareholder for the Danaher Corporation. B. A. P. reports lecture honoraria from the Harvard Secondary School Program and a patent for CRISPR technology (WO 2022/051667). D. H. H. reports funding from an institution unrelated to this work (CDC 1 U01CK000632-01-00 GeoSentinel); consultancy payments to the author from Major League Soccer, the Professional Golf Association of America, Equinox, and Xenophon Strategies, Inc; and participation as chair of a data and safety monitoring board for COVEDZ. M. T. G. reports stock or stock options from Danaher Corporation. T. B. reports grants or contracts unrelated to this work from Gilead Sciences, Inc and Fujifilm Pharmaceuticals U.S.A., Inc. M. H. reports consulting fees as an independent laboratory consultant for Nichols Management Group, LLC. All remaining authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Infectious Diseases Society of America.)
- Published
- 2023
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.