2,556 results on '"Kessler, Michael"'
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2. A deep catalogue of protein-coding variation in 983,578 individuals
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Sun, Kathie Y., Bai, Xiaodong, Chen, Siying, Bao, Suying, Zhang, Chuanyi, Kapoor, Manav, Backman, Joshua, Joseph, Tyler, Maxwell, Evan, Mitra, George, Gorovits, Alexander, Mansfield, Adam, Boutkov, Boris, Gokhale, Sujit, Habegger, Lukas, Marcketta, Anthony, Locke, Adam E., Ganel, Liron, Hawes, Alicia, Kessler, Michael D., Sharma, Deepika, Staples, Jeffrey, Bovijn, Jonas, Gelfman, Sahar, Di Gioia, Alessandro, Rajagopal, Veera M., Lopez, Alexander, Varela, Jennifer Rico, Alegre-Díaz, Jesús, Berumen, Jaime, Tapia-Conyer, Roberto, Kuri-Morales, Pablo, Torres, Jason, Emberson, Jonathan, Collins, Rory, Cantor, Michael, Thornton, Timothy, Kang, Hyun Min, Overton, John D., Shuldiner, Alan R., Cremona, M. Laura, Nafde, Mona, Baras, Aris, Abecasis, Gonçalo, Marchini, Jonathan, Reid, Jeffrey G., Salerno, William, and Balasubramanian, Suganthi
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- 2024
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3. Chapter 33: Out of the Locker Room and Into the Classroom: Innovative Approaches to the Use of Media and Strategies in Sex Education for the Deaf
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Kessler, Michael I
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- 2013
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4. The Use of a Multi-Image Slide Presentation and Experiential Strategies to Enhance Personal/Social Development of Deaf Students with Developmental Disabilities
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Kessler, Michael I
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- 2013
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5. Consistent patterns of common species across tropical tree communities
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Cooper, Declan L. M., Lewis, Simon L., Sullivan, Martin J. P., Prado, Paulo I., ter Steege, Hans, Barbier, Nicolas, Slik, Ferry, Sonké, Bonaventure, Ewango, Corneille E. N., Adu-Bredu, Stephen, Affum-Baffoe, Kofi, de Aguiar, Daniel P. P., Ahuite Reategui, Manuel Augusto, Aiba, Shin-Ichiro, Albuquerque, Bianca Weiss, de Almeida Matos, Francisca Dionízia, Alonso, Alfonso, Amani, Christian A., do Amaral, Dário Dantas, do Amaral, Iêda Leão, Andrade, Ana, de Andrade Miranda, Ires Paula, Angoboy, Ilondea B., Araujo-Murakami, Alejandro, Arboleda, Nicolás Castaño, Arroyo, Luzmila, Ashton, Peter, Aymard C, Gerardo A., Baider, Cláudia, Baker, Timothy R., Balinga, Michael Philippe Bessike, Balslev, Henrik, Banin, Lindsay F., Bánki, Olaf S., Baraloto, Chris, Barbosa, Edelcilio Marques, Barbosa, Flávia Rodrigues, Barlow, Jos, Bastin, Jean-Francois, Beeckman, Hans, Begne, Serge, Bengone, Natacha Nssi, Berenguer, Erika, Berry, Nicholas, Bitariho, Robert, Boeckx, Pascal, Bogaert, Jan, Bonyoma, Bernard, Boundja, Patrick, Bourland, Nils, Boyemba Bosela, Faustin, Brambach, Fabian, Brienen, Roel, Burslem, David F. R. P., Camargo, José Luís, Campelo, Wegliane, Cano, Angela, Cárdenas, Sasha, Cárdenas López, Dairon, de Sá Carpanedo, Rainiellen, Carrero Márquez, Yrma Andreina, Carvalho, Fernanda Antunes, Casas, Luisa Fernanda, Castellanos, Hernán, Castilho, Carolina V., Cerón, Carlos, Chapman, Colin A., Chave, Jerome, Chhang, Phourin, Chutipong, Wanlop, Chuyong, George B., Cintra, Bruno Barçante Ladvocat, Clark, Connie J., Coelho de Souza, Fernanda, Comiskey, James A., Coomes, David A., Cornejo Valverde, Fernando, Correa, Diego F., Costa, Flávia R. C., Costa, Janaina Barbosa Pedrosa, Couteron, Pierre, Culmsee, Heike, Cuni-Sanchez, Aida, Dallmeier, Francisco, Damasco, Gabriel, Dauby, Gilles, Dávila, Nállarett, Dávila Doza, Hilda Paulette, De Alban, Jose Don T., de Assis, Rafael L., De Canniere, Charles, De Haulleville, Thales, de Jesus Veiga Carim, Marcelo, Demarchi, Layon O., Dexter, Kyle G., Di Fiore, Anthony, Din, Hazimah Haji Mohammad, Disney, Mathias I., Djiofack, Brice Yannick, Djuikouo, Marie-Noël K., Do, Tran Van, Doucet, Jean-Louis, Draper, Freddie C., Droissart, Vincent, Duivenvoorden, Joost F., Engel, Julien, Estienne, Vittoria, Farfan-Rios, William, Fauset, Sophie, Feeley, Kenneth J., Feitosa, Yuri Oliveira, Feldpausch, Ted R., Ferreira, Cid, Ferreira, Joice, Ferreira, Leandro Valle, Fletcher, Christine D., Flores, Bernardo Monteiro, Fofanah, Alusine, Foli, Ernest G., Fonty, Émile, Fredriksson, Gabriella M., Fuentes, Alfredo, Galbraith, David, Gallardo Gonzales, George Pepe, Garcia-Cabrera, Karina, García-Villacorta, Roosevelt, Gomes, Vitor H. F., Gómez, Ricardo Zárate, Gonzales, Therany, Gribel, Rogerio, Guedes, Marcelino Carneiro, Guevara, Juan Ernesto, Hakeem, Khalid Rehman, Hall, Jefferson S., Hamer, Keith C., Hamilton, Alan C., Harris, David J., Harrison, Rhett D., Hart, Terese B., Hector, Andy, Henkel, Terry W., Herbohn, John, Hockemba, Mireille B. N., Hoffman, Bruce, Holmgren, Milena, Honorio Coronado, Euridice N., Huamantupa-Chuquimaco, Isau, Hubau, Wannes, Imai, Nobuo, Irume, Mariana Victória, Jansen, Patrick A., Jeffery, Kathryn J., Jimenez, Eliana M., Jucker, Tommaso, Junqueira, André Braga, Kalamandeen, Michelle, Kamdem, Narcisse G., Kartawinata, Kuswata, Kasongo Yakusu, Emmanuel, Katembo, John M., Kearsley, Elizabeth, Kenfack, David, Kessler, Michael, Khaing, Thiri Toe, Killeen, Timothy J., Kitayama, Kanehiro, Klitgaard, Bente, Labrière, Nicolas, Laumonier, Yves, Laurance, Susan G. W., Laurance, William F., Laurent, Félix, Le, Tinh Cong, Le, Trai Trong, Leal, Miguel E., Leão de Moraes Novo, Evlyn Márcia, Levesley, Aurora, Libalah, Moses B., Licona, Juan Carlos, Lima Filho, Diógenes de Andrade, Lindsell, Jeremy A., Lopes, Aline, Lopes, Maria Aparecida, Lovett, Jon C., Lowe, Richard, Lozada, José Rafael, Lu, Xinghui, Luambua, Nestor K., Luize, Bruno Garcia, Maas, Paul, Magalhães, José Leonardo Lima, Magnusson, William E., Mahayani, Ni Putu Diana, Makana, Jean-Remy, Malhi, Yadvinder, Maniguaje Rincón, Lorena, Mansor, Asyraf, Manzatto, Angelo Gilberto, Marimon, Beatriz S., Marimon-Junior, Ben Hur, Marshall, Andrew R, Martins, Maria Pires, Mbayu, Faustin M., de Medeiros, Marcelo Brilhante, Mesones, Italo, Metali, Faizah, Mihindou, Vianet, Millet, Jerome, Milliken, William, Mogollón, Hugo F., Molino, Jean-François, Mohd. Said, Mohd. Nizam, Monteagudo Mendoza, Abel, Montero, Juan Carlos, Moore, Sam, Mostacedo, Bonifacio, Mozombite Pinto, Linder Felipe, Mukul, Sharif Ahmed, Munishi, Pantaleo K. T., Nagamasu, Hidetoshi, Nascimento, Henrique Eduardo Mendonça, Nascimento, Marcelo Trindade, Neill, David, Nilus, Reuben, Noronha, Janaína Costa, Nsenga, Laurent, Núñez Vargas, Percy, Ojo, Lucas, Oliveira, Alexandre A., de Oliveira, Edmar Almeida, Ondo, Fidèle Evouna, Palacios Cuenca, Walter, Pansini, Susamar, Pansonato, Marcelo Petratti, Paredes, Marcos Ríos, Paudel, Ekananda, Pauletto, Daniela, Pearson, Richard G., Pena, José Luis Marcelo, Pennington, R. Toby, Peres, Carlos A., Permana, Andrea, Petronelli, Pascal, Peñuela Mora, Maria Cristina, Phillips, Juan Fernando, Phillips, Oliver L., Pickavance, Georgia, Piedade, Maria Teresa Fernandez, Pitman, Nigel C. A., Ploton, Pierre, Popelier, Andreas, Poulsen, John R., Prieto, Adriana, Primack, Richard B., Priyadi, Hari, Qie, Lan, Quaresma, Adriano Costa, de Queiroz, Helder Lima, Ramirez-Angulo, Hirma, Ramos, José Ferreira, Reis, Neidiane Farias Costa, Reitsma, Jan, Revilla, Juan David Cardenas, Riutta, Terhi, Rivas-Torres, Gonzalo, Robiansyah, Iyan, Rocha, Maira, Rodrigues, Domingos de Jesus, Rodriguez-Ronderos, M. Elizabeth, Rovero, Francesco, Rozak, Andes H., Rudas, Agustín, Rutishauser, Ervan, Sabatier, Daniel, Sagang, Le Bienfaiteur, Sampaio, Adeilza Felipe, Samsoedin, Ismayadi, Satdichanh, Manichanh, Schietti, Juliana, Schöngart, Jochen, Scudeller, Veridiana Vizoni, Seuaturien, Naret, Sheil, Douglas, Sierra, Rodrigo, Silman, Miles R., Silva, Thiago Sanna Freire, da Silva Guimarães, José Renan, Simo-Droissart, Murielle, Simon, Marcelo Fragomeni, Sist, Plinio, Sousa, Thaiane R., de Sousa Farias, Emanuelle, de Souza Coelho, Luiz, Spracklen, Dominick V., Stas, Suzanne M., Steinmetz, Robert, Stevenson, Pablo R., Stropp, Juliana, Sukri, Rahayu S., Sunderland, Terry C. H., Suzuki, Eizi, Swaine, Michael D., Tang, Jianwei, Taplin, James, Taylor, David M., Tello, J. Sebastián, Terborgh, John, Texier, Nicolas, Theilade, Ida, Thomas, Duncan W., Thomas, Raquel, Thomas, Sean C., Tirado, Milton, Toirambe, Benjamin, de Toledo, José Julio, Tomlinson, Kyle W., Torres-Lezama, Armando, Tran, Hieu Dang, Tshibamba Mukendi, John, Tumaneng, Roven D., Umaña, Maria Natalia, Umunay, Peter M., Urrego Giraldo, Ligia Estela, Valderrama Sandoval, Elvis H., Valenzuela Gamarra, Luis, Van Andel, Tinde R., van de Bult, Martin, van de Pol, Jaqueline, van der Heijden, Geertje, Vasquez, Rodolfo, Vela, César I. A., Venticinque, Eduardo Martins, Verbeeck, Hans, Veridiano, Rizza Karen A., Vicentini, Alberto, Vieira, Ima Célia Guimarães, Vilanova Torre, Emilio, Villarroel, Daniel, Villa Zegarra, Boris Eduardo, Vleminckx, Jason, von Hildebrand, Patricio, Vos, Vincent Antoine, Vriesendorp, Corine, Webb, Edward L., White, Lee J. T., Wich, Serge, Wittmann, Florian, Zagt, Roderick, Zang, Runguo, Zartman, Charles Eugene, Zemagho, Lise, Zent, Egleé L., and Zent, Stanford
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- 2024
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6. Conservation status of vascular epiphytes in the neotropics
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Carmona-Higuita, Maria Judith, Mendieta-Leiva, Glenda, Gómez-Díaz, Jorge Antonio, Villalobos, Fabricio, Ramos, Flavio Nunes, Elias, João Pedro Costa, Jiménez-López, Derio Antonio, Zuluaga, Alejandro, Holst, Bruce, Kessler, Michael, Mathieu, Guido, Zizka, Alexander, Zotz, Gerhard, and Krömer, Thorsten
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- 2024
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7. Hydroelastomers: soft, tough, highly swelling composites
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Moser, Simon, Feng, Yanxia, Yasa, Oncay, Heyden, Stefanie, Kessler, Michael, Amstad, Esther, Dufresne, Eric R., Katzschmann, Robert K., and Style, Robert W.
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Condensed Matter - Soft Condensed Matter ,Condensed Matter - Materials Science - Abstract
Inspired by the cellular design of plant tissue, we present a new approach to make versatile, tough, highly water-swelling composites. We embed highly swelling hydrogel particles inside tough, water-permeable, elastomeric matrices. The resulting composites, which we call \emph{hydroelastomers}, show little softening as they swell, and have excellent fracture properties that match those of the best-performing, tough hydrogels. Our composites are straightforward to fabricate, based on commercial materials, and can easily be molded or extruded to form shapes with complex swelling geometries. Furthermore, there is a large design space available for making hydroelastomers, since one can use any hydrogel as the dispersed phase in the composite, including hydrogels with stimuli-responsiveness. These features should make hydroelastomers excellent candidates for use in soft robotics and swelling-based actuation, or as shape-morphing materials, while also being useful as hydrogel replacements in a wide range of other fields.
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- 2022
8. Land-use induced soil carbon stabilization at the expense of rock derived nutrients: insights from pristine Andean soils
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Jungkunst, Hermann F., Heitkamp, Felix, Doetterl, Sebastian, Sylvester, Steven P., Sylvester, Mitsy D. P. V., Vetter, Vanessa, Maqsood, Shafique, Zeppenfeld, Thorsten, Kessler, Michael, and Fiedler, Sabine
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- 2023
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9. Rare coding variants in CHRNB2 reduce the likelihood of smoking
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Rajagopal, Veera M., Watanabe, Kyoko, Mbatchou, Joelle, Ayer, Ariane, Quon, Peter, Sharma, Deepika, Kessler, Michael D., Praveen, Kavita, Gelfman, Sahar, Parikshak, Neelroop, Otto, Jacqueline M., Bao, Suying, Chim, Shek Man, Pavlopoulos, Elias, Avbersek, Andreja, Kapoor, Manav, Chen, Esteban, Jones, Marcus B., Leblanc, Michelle, Emberson, Jonathan, Collins, Rory, Torres, Jason, Morales, Pablo Kuri, Tapia-Conyer, Roberto, Alegre, Jesus, Berumen, Jaime, Shuldiner, Alan R., Balasubramanian, Suganthi, Abecasis, Gonçalo R., Kang, Hyun M., Marchini, Jonathan, Stahl, Eli A., Jorgenson, Eric, Sanchez, Robert, Liedtke, Wolfgang, Anderson, Matthew, Cantor, Michael, Lederer, David, Baras, Aris, and Coppola, Giovanni
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- 2023
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10. A genetic association study of circulating coagulation factor VIII and von Willebrand factor levels
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Abe, Namiko, Abecasis, Gonçalo, Aguet, Francois, Albert, Christine, Almasy, Laura, Alonso, Alvaro, Ament, Seth, Anderson, Peter, Anugu, Pramod, Applebaum-Bowden, Deborah, Ardlie, Kristin, Arking, Dan, Arnett, Donna K, Ashley-Koch, Allison, Aslibekyan, Stella, Assimes, Tim, Auer, Paul, Avramopoulos, Dimitrios, Ayas, Najib, Balasubramanian, Adithya, Barnard, John, Barnes, Kathleen, Barr, R. Graham, Barron-Casella, Emily, Barwick, Lucas, Beaty, Terri, Beck, Gerald, Becker, Diane, Becker, Lewis, Beer, Rebecca, Beitelshees, Amber, Benjamin, Emelia, Benos, Takis, Bezerra, Marcos, Bielak, Larry, Bis, Joshua, Blackwell, Thomas, Blangero, John, Blue, Nathan, Boerwinkle, Eric, Bowden, Donald W., Bowler, Russell, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Brown, Deborah, Bunting, Karen, Burchard, Esteban, Bustamante, Carlos, Buth, Erin, Cade, Brian, Cardwell, Jonathan, Carey, Vincent, Carrier, Julie, Carson, April P., Carty, Cara, Casaburi, Richard, Casas Romero, Juan P, Casella, James, Castaldi, Peter, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chasman, Daniel, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Ida Chen, Yii-Der, Cho, Michael, Choi, Seung Hoan, Chuang, Lee-Ming, Chung, Mina, Chung, Ren-Hua, Clish, Clary, Comhair, Suzy, Conomos, Matthew, Cornell, Elaine, Correa, Adolfo, Crandall, Carolyn, Crapo, James, Cupples, L. Adrienne, Curran, Joanne, Curtis, Jeffrey, Custer, Brian, Damcott, Coleen, Darbar, Dawood, David, Sean, Davis, Colleen, Daya, Michelle, de Andrade, Mariza, de las Fuentes, Lisa, de Vries, Paul, DeBaun, Michael, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Dugan-Perez, Shannon, Duggirala, Ravi, Durda, Jon Peter, Dutcher, Susan K., Eaton, Charles, Ekunwe, Lynette, El Boueiz, Adel, Ellinor, Patrick, Emery, Leslie, Erzurum, Serpil, Farber, Charles, Farek, Jesse, Fingerlin, Tasha, Flickinger, Matthew, Fornage, Myriam, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gabriel, Stacey, Gan, Weiniu, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Gelb, Bruce, Geraci, Mark, Germer, Soren, Gerszten, Robert, Ghosh, Auyon, Gibbs, Richard, Gignoux, Chris, Gladwin, Mark, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Graw, Sharon, Gray, Kathryn J., Grine, Daniel, Gross, Colin, Gu, C. Charles, Guan, Yue, Guo, Xiuqing, Gupta, Namrata, Haessler, Jeff, Hall, Michael, Han, Yi, Hanly, Patrick, Harris, Daniel, Hawley, Nicola L., He, Jiang, Heavner, Ben, Heckbert, Susan, Hernandez, Ryan, Herrington, David, Hersh, Craig, Hidalgo, Bertha, Hixson, James, Hobbs, Brian, Hokanson, John, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Irvin, Marguerite Ryan, Jackson, Rebecca, Jain, Deepti, Jaquish, Cashell, Johnsen, Jill, Johnson, Andrew, Johnson, Craig, Johnston, Rich, Jones, Kimberly, Kang, Hyun Min, Kaplan, Robert, Kardia, Sharon, Kelly, Shannon, Kenny, Eimear, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Konkle, Barbara, Kooperberg, Charles, Kramer, Holly, Lange, Christoph, Lange, Ethan, Lange, Leslie, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Jiwon, Lee, Sandra, Lee, Wen-Jane, LeFaive, Jonathon, Levine, David, Levy, Dan, Lewis, Joshua, Li, Xiaohui, Li, Yun, Lin, Henry, Lin, Honghuang, Lin, Xihong, Liu, Simin, Liu, Yongmei, Liu, Yu, Loos, Ruth J. F., Lubitz, Steven, Lunetta, Kathryn, Luo, James, Magalang, Ulysses, Mahaney, Michael, Make, Barry, Manichaikul, Ani, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, Mathias, Rasika, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGarvey, Stephen, McGoldrick, Daniel, McHugh, Caitlin, McNeil, Becky, Mei, Hao, Meigs, James, Menon, Vipin, Mestroni, Luisa, Metcalf, Ginger, Meyers, Deborah A, Mignot, Emmanuel, Mikulla, Julie, Min, Nancy, Minear, Mollie, Minster, Ryan L, Mitchell, Braxton D., Moll, Matt, Momin, Zeineen, Montasser, May E., Montgomery, Courtney, Muzny, Donna, Mychaleckyj, Josyf C, Nadkarni, Girish, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nekhai, Sergei, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nickerson, Deborah, Nkechinyere, Osuji, North, Kari, O'Connell, Jeff, O'Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Pack, Allan, Paik, David T., Palmer, Nicholette, Pankow, James, Papanicolaou, George, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Peyser, Patricia, Phillips, Lawrence S, Pleiness, Jacob, Pollin, Toni, Post, Wendy, Becker, Julia Powers, Boorgula, Meher Preethi, Preuss, Michael, Psaty, Bruce, Qasba, Pankaj, Qiao, Dandi, Qin, Zhaohui, Rafaels, Nicholas, Raffield, Laura, Rajendran, Mahitha, Ramachandran, Vasan S., Rao, D. C., Rasmussen-Torvik, Laura, Ratan, Aakrosh, Redline, Susan, Reed, Robert, Reeves, Catherine, Regan, Elizabeth, Reiner, Alex, Reupena, Muagututi‘a Sefuiva, Rice, Ken, Rich, Stephen, Robillard, Rebecca, Robine, Nicolas, Roden, Dan, Roselli, Carolina, Rotter, Jerome, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ruuska, Sarah, Ryan, Kathleen, Sabino, Ester Cerdeira, Saleheen, Danish, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Sankaran, Vijay G., Santibanez, Jireh, Schwander, Karen, Schwartz, David, Sciurba, Frank, Seidman, Christine, Seidman, Jonathan, Sériès, Frédéric, Sheehan, Vivien, Sherman, Stephanie L., Shetty, Amol, Shetty, Aniket, Hui-Heng Sheu, Wayne, Shoemaker, M. Benjamin, Silver, Brian, Silverman, Edwin, Skomro, Robert, Smith, Albert Vernon, Smith, Jennifer, Smith, Josh, Smith, Nicholas, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Snyder, Michael, Sofer, Tamar, Sotoodehnia, Nona, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taliun, Daniel, Tang, Hua, Taub, Margaret, Taylor, Kent D., Taylor, Matthew, Taylor, Simeon, Telen, Marilyn, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tishkoff, Sarah, Tiwari, Hemant, Tong, Catherine, Tracy, Russell, Tsai, Michael, Vaidya, Dhananjay, Van Den Berg, David, VandeHaar, Peter, Vrieze, Scott, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Wang, Jiongming, Watson, Karol, Watt, Jennifer, Weeks, Daniel E., Weinstock, Joshua, Weir, Bruce, Weiss, Scott T, Weng, Lu-Chen, Wessel, Jennifer, Willer, Cristen, Williams, Kayleen, Williams, L. Keoki, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Joseph, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Yu, Ketian, Zekavat, Seyedeh Maryam, Zhang, Yingze, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng, Ziv, Elad, Zody, Michael, Zoellner, Sebastian, Lindstrom, Sara, Wang, Lu, Smith, Erin N., Gordon, William, van Hylckama Vlieg, Astrid, Brody, Jennifer A., Pattee, Jack W., Haessler, Jeffrey, Brumpton, Ben M., Chasman, Daniel I., Suchon, Pierre, Chen, Ming-Huei, Turman, Constance, Germain, Marine, Wiggins, Kerri L., MacDonald, James, Braekkan, Sigrid K., Armasu, Sebastian M., Pankratz, Nathan, Jackson, Rabecca D., Nielsen, Jonas B., Giulianini, Franco, Puurunen, Marja K., Ibrahim, Manal, Heckbert, Susan R., Bammler, Theo K., Frazer, Kelly A., McCauley, Bryan M., Taylor, Kent, Pankow, James S., Reiner, Alexander P., Gabrielsen, Maiken E., Deleuze, Jean-François, O'Donnell, Chris J., Kim, Jihye, McKnight, Barbara, Kraft, Peter, Hansen, John-Bjarne, Rosendaal, Frits R., Heit, John A., Psaty, Bruce M., Tang, Weihong, Hveem, Kristian, Ridker, Paul M., Morange, Pierre-Emmanuel, Johnson, Andrew D., Kabrhel, Christopher, AlexandreTrégouët, David, Smith, Nicholas L., de Vries, Paul S., Reventun, Paula, Brown, Michael R., Heath, Adam S., Huffman, Jennifer E., Le, Ngoc-Quynh, Bebo, Allison, Temprano-Sagrera, Gerard, Raffield, Laura M., Ozel, Ayse Bilge, Thibord, Florian, Lewis, Joshua P., Rodriguez, Benjamin A. T., Polasek, Ozren, Yanek, Lisa R., Carrasquilla, German D., Marioni, Riccardo E., Kleber, Marcus E., Trégouët, David-Alexandre, Yao, Jie, Li-Gao, Ruifang, Joshi, Peter K., Trompet, Stella, Martinez-Perez, Angel, Ghanbari, Mohsen, Howard, Tom E., Reiner, Alex P., Arvanitis, Marios, Ryan, Kathleen A., Bartz, Traci M., Rudan, Igor, Faraday, Nauder, Linneberg, Allan, Davies, Gail, Delgado, Graciela E., Klaric, Lucija, Noordam, Raymond, van Rooij, Frank, Curran, Joanne E., Wheeler, Marsha M., Osburn, William O., O'Connell, Jeffrey R., Beswick, Andrew, Kolcic, Ivana, Souto, Juan Carlos, Becker, Lewis C., Hansen, Torben, Doyle, Margaret F., Harris, Sarah E., Moissl, Angela P., Rich, Stephen S., Campbell, Harry, Stott, David J., Soria, Jose Manuel, de Maat, Moniek P. M., Brody, Lawrence C., Auer, Paul L., Ben-Shlomo, Yoav, Hayward, Caroline, Mathias, Rasika A., Kilpeläinen, Tuomas O., Lange, Leslie A., Cox, Simon R., März, Winfried, Rotter, Jerome I., Mook-Kanamori, Dennis O., Wilson, James F., van der Harst, Pim, Jukema, J. Wouter, Ikram, M. Arfan, Desch, Karl C., Sabater-Lleal, Maria, Lowenstein, Charles J., and Morrison, Alanna C.
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- 2024
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- View/download PDF
11. Patterns and drivers of taxonomic and phylogenetic endemism in regional fern floras across the world
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Qian, Hong, Kessler, Michael, Qian, Shenhua, and Zhang, Jian
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- 2024
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12. Peptide ancestry informative markers in uterine neoplasms from women of European, African, and Asian ancestry
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Bateman, Nicholas W, Tarney, Christopher M, Abulez, Tamara S, Hood, Brian L, Conrads, Kelly A, Zhou, Ming, Soltis, Anthony R, Teng, Pang-Ning, Jackson, Amanda, Tian, Chunqiao, Dalgard, Clifton L, Wilkerson, Matthew D, Kessler, Michael D, Goecker, Zachary, Loffredo, Jeremy, Shriver, Craig D, Hu, Hai, Cote, Michele, Parker, Glendon J, Segars, James, Al-Hendy, Ayman, Risinger, John I, Phippen, Neil T, Casablanca, Yovanni, Darcy, Kathleen M, Maxwell, G Larry, Conrads, Thomas P, and O'Connor, Timothy D
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Cancer ,Biotechnology ,Genetics ,Clinical Research ,Aetiology ,2.1 Biological and endogenous factors ,Genomics ,Precision medicine ,Proteogenomics ,Proteomics - Abstract
Characterization of ancestry-linked peptide variants in disease-relevant patient tissues represents a foundational step to connect patient ancestry with disease pathogenesis. Nonsynonymous single-nucleotide polymorphisms encoding missense substitutions within tryptic peptides exhibiting high allele frequencies in European, African, and East Asian populations, termed peptide ancestry informative markers (pAIMs), were prioritized from 1000 genomes. In silico analysis identified that as few as 20 pAIMs can determine ancestry proportions similarly to >260K SNPs (R2 = 0.99). Multiplexed proteomic analysis of >100 human endometrial cancer cell lines and uterine leiomyoma tissues combined resulted in the quantitation of 62 pAIMs that correlate with patient race and genotype-confirmed ancestry. Candidates include a D451E substitution in GC vitamin D-binding protein previously associated with altered vitamin D levels in African and European populations. pAIMs will support generalized proteoancestry assessment as well as efforts investigating the impact of ancestry on the human proteome and how this relates to the pathogenesis of uterine neoplasms.
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- 2022
13. Ten Quick Tips for Deep Learning in Biology
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Lee, Benjamin D., Gitter, Anthony, Greene, Casey S., Raschka, Sebastian, Maguire, Finlay, Titus, Alexander J., Kessler, Michael D., Lee, Alexandra J., Chevrette, Marc G., Stewart, Paul Allen, Britto-Borges, Thiago, Cofer, Evan M., Yu, Kun-Hsing, Carmona, Juan Jose, Fertig, Elana J., Kalinin, Alexandr A., Signal, Beth, Lengerich, Benjamin J., Triche Jr, Timothy J., and Boca, Simina M.
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Quantitative Biology - Other Quantitative Biology ,Computer Science - Machine Learning - Abstract
Machine learning is a modern approach to problem-solving and task automation. In particular, machine learning is concerned with the development and applications of algorithms that can recognize patterns in data and use them for predictive modeling. Artificial neural networks are a particular class of machine learning algorithms and models that evolved into what is now described as deep learning. Given the computational advances made in the last decade, deep learning can now be applied to massive data sets and in innumerable contexts. Therefore, deep learning has become its own subfield of machine learning. In the context of biological research, it has been increasingly used to derive novel insights from high-dimensional biological data. To make the biological applications of deep learning more accessible to scientists who have some experience with machine learning, we solicited input from a community of researchers with varied biological and deep learning interests. These individuals collaboratively contributed to this manuscript's writing using the GitHub version control platform and the Manubot manuscript generation toolset. The goal was to articulate a practical, accessible, and concise set of guidelines and suggestions to follow when using deep learning. In the course of our discussions, several themes became clear: the importance of understanding and applying machine learning fundamentals as a baseline for utilizing deep learning, the necessity for extensive model comparisons with careful evaluation, and the need for critical thought in interpreting results generated by deep learning, among others., Comment: 23 pages, 2 figures
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- 2021
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14. Justice: Juvenile
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Kessler, Michael Joel, Paulo, Norbert, Section editor, Sellers, Mortimer, editor, and Kirste, Stephan, editor
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- 2023
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15. Laser welding of tailored blanks made of Al-Si-coated 22MnB5 steel using a filler wire and a variable energy distribution laser optics
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Coviello, Donato, von der Heydt, Jana, Rullo, Lorenzo, Keßler, Michael, De Vito, Mariarosaria, D’Angola, Antonio, and Sorgente, Donato
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- 2023
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16. Soil water storage capacity and soil nutrients drive tree ring growth of six European tree species across a steep environmental gradient
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Gadermaier, Josef, Vospernik, Sonja, Grabner, Michael, Wächter, Elisabeth, Keßler, David, Kessler, Michael, Lehner, Fabian, Klebinder, Klaus, and Katzensteiner, Klaus
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- 2024
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17. Geographic patterns and climatic drivers of the mean genus age of liverworts in North America
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Qian, Hong, Wang, Jian, Qian, Shenhua, and Kessler, Michael
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- 2024
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18. Hyper-Cryptic radiation of a tropical montane plant lineage
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Olivares, Ingrid, Tusso, Sergio, José Sanín, María, de La Harpe, Marylaure, Loiseau, Oriane, Rolland, Jonathan, Salamin, Nicolas, Kessler, Michael, Shimizu, Kentaro K., and Paris, Margot
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- 2024
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19. Common and rare variant associations with clonal haematopoiesis phenotypes
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Kessler, Michael D., Damask, Amy, O’Keeffe, Sean, Banerjee, Nilanjana, Li, Dadong, Watanabe, Kyoko, Marketta, Anthony, Van Meter, Michael, Semrau, Stefan, Horowitz, Julie, Tang, Jing, Kosmicki, Jack A., Rajagopal, Veera M., Zou, Yuxin, Houvras, Yariv, Ghosh, Arkopravo, Gillies, Christopher, Mbatchou, Joelle, White, Ryan R., Verweij, Niek, Bovijn, Jonas, Parikshak, Neelroop N., LeBlanc, Michelle G., Jones, Marcus, Glass, David J., Lotta, Luca A., Cantor, Michael N., Atwal, Gurinder S., Locke, Adam E., Ferreira, Manuel A. R., Deering, Raquel, Paulding, Charles, Shuldiner, Alan R., Thurston, Gavin, Ferrando, Adolfo A., Salerno, Will, Reid, Jeffrey G., Overton, John D., Marchini, Jonathan, Kang, Hyun M., Baras, Aris, Abecasis, Gonçalo R., and Jorgenson, Eric
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- 2022
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20. Effects of climate and environmental heterogeneity on the phylogenetic structure of regional angiosperm floras worldwide
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Qian, Hong, Qian, Shenhua, Zhang, Jian, and Kessler, Michael
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- 2024
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21. Facultative mycorrhization in a fern (Struthiopteris spicant L. Weiss) is bound to light intensity
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Guillen-Otero, Thais, Lee, Soon-Jae, Hertel, Dietrich, and Kessler, Michael
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- 2024
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22. Epigenome-wide DNA methylation association study of circulating IgE levels identifies novel targets for asthma
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Abe, Namiko, Abecasis, Gonçalo, Aguet, Francois, Albert, Christine, Almasy, Laura, Alonso, Alvaro, Ament, Seth, Anderson, Peter, Anugu, Pramod, Applebaum-Bowden, Deborah, Ardlie, Kristin, Arking, Dan, Arnett, Donna K., Ashley-Koch, Allison, Aslibekyan, Stella, Assimes, Tim, Auer, Paul, Avramopoulos, Dimitrios, Ayas, Najib, Balasubramanian, Adithya, Barnard, John, Barnes, Kathleen, Barr, R. Graham, Barron-Casella, Emily, Barwick, Lucas, Beaty, Terri, Beck, Gerald, Becker, Diane, Becker, Lewis, Beer, Rebecca, Beitelshees, Amber, Benjamin, Emelia, Benos, Takis, Bezerra, Marcos, Bielak, Larry, Bis, Joshua, Blackwell, Thomas, Blangero, John, Blue, Nathan, Boerwinkle, Eric, Bowden, Donald W., Bowler, Russell, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Brown, Deborah, Bunting, Karen, Burchard, Esteban, Bustamante, Carlos, Buth, Erin, Cade, Brian, Cardwell, Jonathan, Carey, Vincent, Carrier, Julie, Carson, April P., Carty, Cara, Casaburi, Richard, Casas Romero, Juan P., Casella, James, Castaldi, Peter, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chasman, Daniel, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Ida Chen, Yii-Der, Cho, Michael, Choi, Seung Hoan, Chuang, Lee-Ming, Chung, Mina, Chung, Ren-Hua, Clish, Clary, Comhair, Suzy, Conomos, Matthew, Cornell, Elaine, Correa, Adolfo, Crandall, Carolyn, Crapo, James, Cupples, L. Adrienne, Curran, Joanne, Curtis, Jeffrey, Custer, Brian, Damcott, Coleen, Darbar, Dawood, David, Sean, Davis, Colleen, Daya, Michelle, de Andrade, Mariza, de las Fuentes, Lisa, de Vries, Paul, DeBaun, Michael, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Dugan-Perez, Shannon, Duggirala, Ravi, Durda, Jon Peter, Dutcher, Susan K., Eaton, Charles, Ekunwe, Lynette, El Boueiz, Adel, Ellinor, Patrick, Emery, Leslie, Erzurum, Serpil, Farber, Charles, Farek, Jesse, Fingerlin, Tasha, Flickinger, Matthew, Fornage, Myriam, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gabriel, Stacey, Gan, Weiniu, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Gelb, Bruce, Geraci, Mark, Germer, Soren, Gerszten, Robert, Ghosh, Auyon, Gibbs, Richard, Gignoux, Chris, Gladwin, Mark, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Graw, Sharon, Gray, Kathryn J., Grine, Daniel, Gross, Colin, Gu, C. Charles, Guan, Yue, Guo, Xiuqing, Gupta, Namrata, Haessler, Jeff, Hall, Michael, Han, Yi, Hanly, Patrick, Harris, Daniel, Hawley, Nicola L., He, Jiang, Heavner, Ben, Heckbert, Susan, Hernandez, Ryan, Herrington, David, Hersh, Craig, Hidalgo, Bertha, Hixson, James, Hobbs, Brian, Hokanson, John, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Irvin, Marguerite Ryan, Jackson, Rebecca, Jain, Deepti, Jaquish, Cashell, Johnsen, Jill, Johnson, Andrew, Johnson, Craig, Johnston, Rich, Jones, Kimberly, Kang, Hyun Min, Kaplan, Robert, Kardia, Sharon, Kelly, Shannon, Kenny, Eimear, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Konkle, Barbara, Kooperberg, Charles, Kramer, Holly, Lange, Christoph, Lange, Ethan, Lange, Leslie, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Jiwon, Lee, Sandra, Lee, Wen-Jane, LeFaive, Jonathon, Levine, David, Levy, Daniel, Lewis, Joshua, Li, Xiaohui, Li, Yun, Lin, Henry, Lin, Honghuang, Lin, Xihong, Liu, Simin, Liu, Yongmei, Liu, Yu, Loos, Ruth J.F., Lubitz, Steven, Lunetta, Kathryn, Luo, James, Magalang, Ulysses, Mahaney, Michael, Make, Barry, Manichaikul, Ani, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, Mathias, Rasika, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGarvey, Stephen, McGoldrick, Daniel, McHugh, Caitlin, McNeil, Becky, Mei, Hao, Meigs, James, Menon, Vipin, Mestroni, Luisa, Metcalf, Ginger, Meyers, Deborah A., Mignot, Emmanuel, Mikulla, Julie, Min, Nancy, Minear, Mollie, Minster, Ryan L., Mitchell, Braxton D., Moll, Matt, Momin, Zeineen, Montasser, May E., Montgomery, Courtney, Muzny, Donna, Mychaleckyj, Josyf C., Nadkarni, Girish, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nekhai, Sergei, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nickerson, Deborah, Nkechinyere, Osuji, North, Kari, O'Connell, Jeff, O'Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Pack, Allan, Paik, David T., Palmer, Nicholette, Pankow, James, Papanicolaou, George, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Peyser, Patricia, Phillips, Lawrence S., Pleiness, Jacob, Pollin, Toni, Post, Wendy, Powers Becker, Julia, Preethi Boorgula, Meher, Preuss, Michael, Psaty, Bruce, Qasba, Pankaj, Qiao, Dandi, Qin, Zhaohui, Rafaels, Nicholas, Raffield, Laura, Rajendran, Mahitha, Ramachandran, Vasan S., Rao, D.C., Rasmussen-Torvik, Laura, Ratan, Aakrosh, Redline, Susan, Reed, Robert, Reeves, Catherine, Regan, Elizabeth, Reiner, Alex, Reupena, Muagututi‘a Sefuiva, Rice, Ken, Rich, Stephen, Robillard, Rebecca, Robine, Nicolas, Roden, Dan, Roselli, Carolina, Rotter, Jerome, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ruuska, Sarah, Ryan, Kathleen, Sabino, Ester Cerdeira, Saleheen, Danish, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Sankaran, Vijay G., Santibanez, Jireh, Schwander, Karen, Schwartz, David, Sciurba, Frank, Seidman, Christine, Seidman, Jonathan, Sériès, Frédéric, Sheehan, Vivien, Sherman, Stephanie L., Shetty, Amol, Shetty, Aniket, Sheu, Wayne Hui-Heng, Shoemaker, M. Benjamin, Silver, Brian, Silverman, Edwin, Skomro, Robert, Smith, Albert Vernon, Smith, Jennifer, Smith, Josh, Smith, Nicholas, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Snyder, Michael, Sofer, Tamar, Sotoodehnia, Nona, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taliun, Daniel, Tang, Hua, Taub, Margaret, Taylor, Kent, Taylor, Matthew, Taylor, Simeon, Telen, Marilyn, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tishkoff, Sarah, Tiwari, Hemant, Tong, Catherine, Tracy, Russell, Tsai, Michael, Vaidya, Dhananjay, Van Den Berg, David, VandeHaar, Peter, Vrieze, Scott, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Wang, Jiongming, Watson, Karol, Watt, Jennifer, Weeks, Daniel E., Weinstock, Joshua, Weir, Bruce, Weiss, Scott T., Weng, Lu-Chen, Wessel, Jennifer, Willer, Cristen, Williams, Kayleen, Williams, L. Keoki, Williams, Scott, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Baojun, Wu, Joseph, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Yu, Ketian, Zekavat, Seyedeh Maryam, Zhang, Yingze, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng, Ziv, Elad, Zody, Michael, Zoellner, Sebastian, Recto, Kathryn, Kachroo, Priyadarshini, Huan, Tianxiao, Lee, Gha Young, Bui, Helena, Lee, Dong Heon, Gereige, Jessica, Yao, Chen, Hwang, Shih-Jen, Joehanes, Roby, O’Connor, George T., and DeMeo, Dawn L.
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- 2023
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23. Comparative analysis of mycorrhizal communities associated with Struthiopteris spicant (L.) Weiss across Europe and North America
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Guillen-Otero, Thais, primary, Hertel, Dietrich, additional, Quintanilla, Luis G., additional, Lehnert, Marcus, additional, Schmid, Mattia, additional, Kharazishvili, Davit, additional, Fawcett, Susan, additional, and Kessler, Michael, additional
- Published
- 2024
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24. “PMS2CL interference leading to erroneous identification of a pathogenic PMS2 variant in Black Patients”
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Cappadocia, Jacqueline, primary, Aiello, Lisa B., additional, Kelley, Michael J., additional, Katona, Bryson W., additional, Maxwell, Kara N., additional, Verma, Anurag, additional, Verma, Shefali S., additional, Bradford, Yuki, additional, Brock, Ashlei, additional, DerOhannessian, Stephanie, additional, Dudek, Scott, additional, Dunn, Joseph, additional, Drivas, Theodore, additional, Haubein, Ned, additional, Hu-Sain, Khadijah, additional, Judy, Renae, additional, Kloter, Ashley, additional, Ko, Yi-An, additional, Livingstone, Meghan, additional, Morrel, Linda, additional, Morse, Colleen, additional, Poindexter, Afiya, additional, Risman, Marjorie, additional, Tran, Teo, additional, Vadivieso, Fred, additional, Weaver, JoEllen, additional, Rader, Daniel J., additional, Ritchie, Marylyn D., additional, Feldman, Michael D., additional, Beechert, Christina, additional, Forsythe, Caitlin, additional, Fuller, Erin D., additional, Gu, Zhenhua, additional, Lattari, Michael, additional, Lopez, Alexander, additional, Overton, John D., additional, Padilla, Maria Sotiropoulos, additional, Pradhan, Manasi, additional, Manoochehri, Kia, additional, Schleicher, Thomas D., additional, Widom, Louis, additional, Wolf, Sarah E., additional, Ulloa, Ricardo H., additional, Averitt, Amelia, additional, Banerjee, Nilanjana, additional, Cantor, Michael, additional, Li, Dadong, additional, Malhotra, Sameer, additional, Sharma, Deepika, additional, Staples, Jeffrey, additional, Bai, Xiaodong, additional, Balasubramanian, Suganthi, additional, Bao, Suying, additional, Boutkov, Boris, additional, Chen, Siying, additional, Eom, Gisu, additional, Habegger, Lukas, additional, Hawes, Alicia, additional, Khalid, Shareef, additional, Krasheninina, Olga, additional, Lanche, Rouel, additional, Mansfield, Adam J., additional, Maxwell, Evan K., additional, Mitra, George, additional, Nafde, Mona, additional, O’Keeffe, Sean, additional, Panea, Razvan, additional, Polanco, Tommy, additional, Rasool, Ayesha, additional, Reid, Jeffrey G., additional, Salerno, William, additional, Staples, Jeffrey C., additional, Sun, Kathie, additional, Abecasis, Goncalo, additional, Backman, Joshua, additional, Damask, Amy, additional, Dobbyn, Lee, additional, Revez Ferreira, Manuel Allen, additional, Ghosh, Arkopravo, additional, Gillies, Christopher, additional, Gurski, Lauren, additional, Jorgenson, Eric, additional, Kang, Hyun Min, additional, Kessler, Michael, additional, Kosmicki, Jack, additional, Li, Alexander, additional, Lin, Nan, additional, Liu, Daren, additional, Locke, Adam, additional, Marchini, Jonathan, additional, Marcketta, Anthony, additional, Mbatchou, Joelle, additional, Moscati, Arden, additional, Paulding, Charles, additional, Sidore, Carlo, additional, Stahl, Eli, additional, Watanabe, Kyoko, additional, Ye, Bin, additional, Zhang, Blair, additional, Ziyatdinov, Andrey, additional, Ayer, Ariane, additional, Guvenek, Aysegul, additional, Hindy, George, additional, Coppola, Giovanni, additional, Freudenberg, Jan, additional, Bovijn, Jonas, additional, Siminovitch, Katherine, additional, Praveen, Kavita, additional, Lotta, Luca A., additional, Kapoor, Manav, additional, Haas, Mary, additional, Riaz, Moeen, additional, Verweij, Niek, additional, Sosina, Olukayode, additional, Akbari, Parsa, additional, Nakka, Priyanka, additional, Gelfman, Sahar, additional, Gokhale, Sujit, additional, De, Tanima, additional, Rajagopal, Veera, additional, Shuldiner, Alan, additional, Tzoneva, Gannie, additional, Rodriguez-Flores, Juan, additional, Chen, Esteban, additional, Jones, Marcus B., additional, LeBlanc, Michelle G., additional, Mighty, Jason, additional, Mitnaul, Lyndon J., additional, Nishtala, Nirupama, additional, Rana, Nadia, additional, Hernandez, Jaimee, additional, Baras, Aris, additional, Deubler, Andrew, additional, and Economides, Aris, additional
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- 2024
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25. Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program
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Taliun, Daniel, Harris, Daniel N, Kessler, Michael D, Carlson, Jedidiah, Szpiech, Zachary A, Torres, Raul, Taliun, Sarah A Gagliano, Corvelo, André, Gogarten, Stephanie M, Kang, Hyun Min, Pitsillides, Achilleas N, LeFaive, Jonathon, Lee, Seung-been, Tian, Xiaowen, Browning, Brian L, Das, Sayantan, Emde, Anne-Katrin, Clarke, Wayne E, Loesch, Douglas P, Shetty, Amol C, Blackwell, Thomas W, Smith, Albert V, Wong, Quenna, Liu, Xiaoming, Conomos, Matthew P, Bobo, Dean M, Aguet, François, Albert, Christine, Alonso, Alvaro, Ardlie, Kristin G, Arking, Dan E, Aslibekyan, Stella, Auer, Paul L, Barnard, John, Barr, R Graham, Barwick, Lucas, Becker, Lewis C, Beer, Rebecca L, Benjamin, Emelia J, Bielak, Lawrence F, Blangero, John, Boehnke, Michael, Bowden, Donald W, Brody, Jennifer A, Burchard, Esteban G, Cade, Brian E, Casella, James F, Chalazan, Brandon, Chasman, Daniel I, Chen, Yii-Der Ida, Cho, Michael H, Choi, Seung Hoan, Chung, Mina K, Clish, Clary B, Correa, Adolfo, Curran, Joanne E, Custer, Brian, Darbar, Dawood, Daya, Michelle, de Andrade, Mariza, DeMeo, Dawn L, Dutcher, Susan K, Ellinor, Patrick T, Emery, Leslie S, Eng, Celeste, Fatkin, Diane, Fingerlin, Tasha, Forer, Lukas, Fornage, Myriam, Franceschini, Nora, Fuchsberger, Christian, Fullerton, Stephanie M, Germer, Soren, Gladwin, Mark T, Gottlieb, Daniel J, Guo, Xiuqing, Hall, Michael E, He, Jiang, Heard-Costa, Nancy L, Heckbert, Susan R, Irvin, Marguerite R, Johnsen, Jill M, Johnson, Andrew D, Kaplan, Robert, Kardia, Sharon LR, Kelly, Tanika, Kelly, Shannon, Kenny, Eimear E, Kiel, Douglas P, Klemmer, Robert, Konkle, Barbara A, Kooperberg, Charles, Köttgen, Anna, Lange, Leslie A, Lasky-Su, Jessica, Levy, Daniel, Lin, Xihong, Lin, Keng-Han, Liu, Chunyu, and Loos, Ruth JF
- Subjects
Genetics ,Biotechnology ,Human Genome ,Aetiology ,2.1 Biological and endogenous factors ,Generic health relevance ,Good Health and Well Being ,Cytochrome P-450 CYP2D6 ,Genetic Variation ,Genome ,Human ,Genomics ,Haplotypes ,Heterozygote ,Humans ,INDEL Mutation ,Loss of Function Mutation ,Mutagenesis ,National Heart ,Lung ,and Blood Institute (U.S.) ,Phenotype ,Polymorphism ,Single Nucleotide ,Population Density ,Precision Medicine ,Quality Control ,Sample Size ,United States ,Whole Genome Sequencing ,NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium ,General Science & Technology - Abstract
The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases. The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data. The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes)1. In the first 53,831 TOPMed samples, we detected more than 400 million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400 million detected variants, 97% have frequencies of less than 1% and 46% are singletons that are present in only one individual (53% among unrelated individuals). These rare variants provide insights into mutational processes and recent human evolutionary history. The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation. Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 0.01%.
- Published
- 2021
26. Phylogenetic diversity of ferns reveals different patterns of niche conservatism and habitat filtering between epiphytic and terrestrial assemblages
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Hernandez-Rojas, Adriana C., Kluge, Jürgen, Noben, Sarah, Reyes Chávez, Johan D., Krömer, Thorsten, Carvajal-Hernández, César I., Salazar, Laura, and Kessler, Michael
- Subjects
biogeography ,elevational gradient ,latitudinal gradient ,monilophytes ,Neotropics ,phylogenetic patterns ,pteridophytes - Abstract
Much attention has been directed to understanding species richness patterns, but adding an evolutionary perspective allows us to also consider the historical processes determining current diversity patterns. We analyzed phylogenetic patterns of fern species assemblages in 868 plots along a wide range of elevational (0-4000 m) and latitudinal (0°-23°N) gradients in the Neotropics to allow a deeper understanding of evolutionary processes underlying current patterns of diversity and community assembly. Overall, we found that phylogenetic mean pairwise distance (sMPD) and mean nearest taxon distance (sMNTD) decreased with increasing latitude and elevation, but that these geographical factors per se were weak explanatory variables. Incorporating environmental variables strongly enhanced the power of the predictive model, indicating that fern assemblages are phylogenetically more diverse under wet and warm to cool conditions at low latitudes and elevations. Further, whereas epiphytic fern assemblages were strongly influenced by climatic factors, this was not the case for terrestrial ones, suggesting that edaphic conditions and vegetation structure may have a stronger influence on the evolution and diversification of terrestrial ferns. We conclude that fern assemblages are strongly influenced by phylogenetic niche conservatism and environmental filtering. This has also been found for angiosperms, but the direction of the environment-phylogenetic relationship is often opposed in the two groups, suggesting that the older age of many fern lineages includes historical signals that are not evident in the more recent angiosperm radiation.
- Published
- 2021
27. Packaging and Labelling of Evidence
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Kessler, Michael P., primary
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- 2023
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28. Justice: Juvenile
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Kessler, Michael Joel, primary
- Published
- 2022
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29. The submarine ethos runs deep
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Kessler, Michael W., ENS
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OFFICERS - Navy - United States - Training ,EDUCATION, TECHNICAL - Navy - United States ,SUBMARINES, NUCLEAR POWERED - United States - Abstract
illus bibliog
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- 2004
30. OrthoACCESS: Implementing a Sub-Internship Curriculum for MS4s Applying to Orthopaedic Surgery
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Lin, Ye, Dowd, Thomas, Slone, Harris, Kessler, Michael, Levin, Adam, Pierrie, Sarah, Scannell, Brian, and Balach, Tessa
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- 2023
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31. De novo mutations across 1,465 diverse genomes reveal mutational insights and reductions in the Amish founder population
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Kessler, Michael D, Loesch, Douglas P, Perry, James A, Heard-Costa, Nancy L, Taliun, Daniel, Cade, Brian E, Wang, Heming, Daya, Michelle, Ziniti, John, Datta, Soma, Celedón, Juan C, Soto-Quiros, Manuel E, Avila, Lydiana, Weiss, Scott T, Barnes, Kathleen, Redline, Susan S, Vasan, Ramachandran S, Johnson, Andrew D, Mathias, Rasika A, Hernandez, Ryan, Wilson, James G, Nickerson, Deborah A, Abecasis, Goncalo, Browning, Sharon R, Zöllner, Sebastian, O’Connell, Jeffrey R, Mitchell, Braxton D, Lung, and Blood Institute Trans-Omics for Precision Medicine Consortium National Heart, Group, TOPMed Population Genetics Working, O’Connor, Timothy D, Aalbers, Sanne, Abdalla, Moustafa, Abdul-Rahman, Omar, Abecasis, Gonçalo, Abhyankar, Avinash, Adrianto, Indra, Aguet, Francois, Akers, Rachel, Al-Tobasei, Rafet, Albert, Christine, Aldred, Micheala, Almasy, Laura, Almeida, Marcio, Alonso, Alvaro, Ament, Seth, Ampleford, Elizabeth, An, Ping, Anderson, Christopher D, Andersson, Charlotte, Anugu, Pramod, Appelbaum, Elizabeth, Ardlie, Kristin, Arking, Dan, Armasu, Sebastian M, Arnett, Donna K, Arruda, Heather, Arvanitis, Marios, Ashley-Koch, Allison, Ashrani, Aneel, Aslibekyan, Stella, Assimes, Tim, Atkinson, Elizabeth, Auer, Paul, Austin, Thomas R, Avery, Christy, Avila-Pacheco, Julian, Avillach, Paul, Aviv, Abraham, Avramopoulos, Dimitrios, Ballantyne, Christie, Balte, Pallavi, Bamshad, Michael, Bancks, Mike, Barnard, John, Barr, R Graham, Barron-Casella, Emily, Bartz, Traci, Barwick, Lucas, Basu, Saonli, Battle, Alexis, Baumann, Michael, Beame, David, Beaty, Terri, Beck, Gerald, Becker, Lewis, Becker, Diane, Beer, Rebecca, Begum, Ferdouse, Beiser, Alexa, Beitelshees, Amber, Benjamin, Emelia, Benos, Takis, Berk-Rauch, Hanna, Besich, Zachary M, Bezerra, Marcos, Bhatt, Surya, Bi, Wenjian, Bick, Alexander, and Bielak, Larry
- Subjects
Biological Sciences ,Genetics ,Human Genome ,Good Health and Well Being ,Adult ,Amish ,Cohort Studies ,DNA Mutational Analysis ,Female ,Genetics ,Population ,Genome ,Human ,Heterozygote ,Humans ,Male ,Mutation ,Pedigree ,Whole Genome Sequencing ,Young Adult ,National Heart ,Lung ,and Blood Institute Trans-Omics for Precision Medicine (TOPMed) Consortium ,TOPMed Population Genetics Working Group ,de novo mutations ,diversity ,mutation rate ,recombination - Abstract
De novo mutations (DNMs), or mutations that appear in an individual despite not being seen in their parents, are an important source of genetic variation whose impact is relevant to studies of human evolution, genetics, and disease. Utilizing high-coverage whole-genome sequencing data as part of the Trans-Omics for Precision Medicine (TOPMed) Program, we called 93,325 single-nucleotide DNMs across 1,465 trios from an array of diverse human populations, and used them to directly estimate and analyze DNM counts, rates, and spectra. We find a significant positive correlation between local recombination rate and local DNM rate, and that DNM rate explains a substantial portion (8.98 to 34.92%, depending on the model) of the genome-wide variation in population-level genetic variation from 41K unrelated TOPMed samples. Genome-wide heterozygosity does correlate with DNM rate, but only explains
- Published
- 2020
32. Regional species richness determines local species turnover in ferns
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Olivares, Ingrid and Kessler, Michael
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Andes ,beta diversity ,biodiversity ,biotic interactions ,elevational gradients ,environmental drivers ,ferns ,Neotropics ,null models ,path analysis - Abstract
The question of which factors determine the geographical change in species composition and abundance (turnover and β diversity) has typically been studied at a single scale, so that, e.g., regional-scale factors are used to explain regional turnover. But cross-scale effects are also important to understand species turnover and the spatial distribution of biodiversity in general. Here, we explored how regional richness, local forest-structure, and regional climatic factors interact to influence local species turnover. We analysed a dataset that includes the distribution of 916 fern species recorded in 1227 plots in the Bolivian Andes, forest-structure variables collected in the field, and climatic variables extracted from global databases. We used path analyses to: (i) select the best models explaining the variation in local species turnover and (ii) identify the factors that have a direct effect on species turnover and those with only indirect effects. We contrasted our results against those obtained from a null model analysis. The most important variable explaining variation in species turnover was regional species richness. We consider that this is the result of interspecific competition resulting in narrower realized ecological niches of species, although further studies are needed to confirm the mechanism. We also found that the relationship between climatic variables and local species turnover is best described by the indirect link between climatic factors and regional species richness. Our results might appear to be in conflict with previous studies finding that climatic and edaphic factors are direct predictors of local and regional variation in fern turnover. However, this is due to the different scales at which turnover was analysed. In contrast to previous studies, ours reflects the cross-scale effect of the variation in regional factors on local species turnover. Our study supports the idea that in regions with high species richness, biotic interactions strongly determine local community composition.
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- 2020
33. EpiList 1.0 : a global checklist of vascular epiphytes
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Zotz, Gerhard, Weigelt, Patrick, Kessler, Michael, Kreft, Holger, and Taylor, Amanda
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- 2021
34. Approaching “Elective” Surgery in the Era of COVID-19
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Lockey, Stephen D., Nelson, Philip C., Kessler, Michael J., and Kessler, Michael W.
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- 2021
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35. Fern mycorrhizae do not respond to fertilization in a tropical montane forest
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Guillen, Thais, primary, Kessler, Michael, additional, and Homeier, Jürgen, additional
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- 2024
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36. Global patterns of vascular plant alpha diversity
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Sabatini, Francesco Maria, Jiménez-Alfaro, Borja, Jandt, Ute, Chytrý, Milan, Field, Richard, Kessler, Michael, Lenoir, Jonathan, Schrodt, Franziska, Wiser, Susan K., Arfin Khan, Mohammed A. S., Attorre, Fabio, Cayuela, Luis, De Sanctis, Michele, Dengler, Jürgen, Haider, Sylvia, Hatim, Mohamed Z., Indreica, Adrian, Jansen, Florian, Pauchard, Aníbal, Peet, Robert K., Petřík, Petr, Pillar, Valério D., Sandel, Brody, Schmidt, Marco, Tang, Zhiyao, van Bodegom, Peter, Vassilev, Kiril, Violle, Cyrille, Alvarez-Davila, Esteban, Davidar, Priya, Dolezal, Jiri, Hérault, Bruno, Galán-de-Mera, Antonio, Jiménez, Jorge, Kambach, Stephan, Kepfer-Rojas, Sebastian, Kreft, Holger, Lezama, Felipe, Linares-Palomino, Reynaldo, Monteagudo Mendoza, Abel, N’Dja, Justin K., Phillips, Oliver L., Rivas-Torres, Gonzalo, Sklenář, Petr, Speziale, Karina, Strohbach, Ben J., Vásquez Martínez, Rodolfo, Wang, Hua-Feng, Wesche, Karsten, and Bruelheide, Helge
- Published
- 2022
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37. Temporal changes in the Swiss flora: implications for flower-visiting insects
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Abrahamczyk, Stefan, Kessler, Michael, Roth, Tobias, and Heer, Nico
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- 2022
- Full Text
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38. Post-traumatic Arthritis of the Elbow
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O’Malley, Kevin, Churchill, Ryan, Henn, Curtis M., Kessler, Michael W., Thakkar, Savyasachi C., editor, and Hasenboehler, Erik A., editor
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- 2021
- Full Text
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39. Report Writing for Crime Scene Investigators
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Pazarena, Laura, primary, Kessler, Michael, additional, and Watroba, Amy, additional
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- 2022
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40. Conclusion
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Kessler, Michael, primary
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- 2022
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41. Evolutionary causes of global patterns of species richness in regional fern floras across the world.
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Qian, Hong, Kessler, Michael, Zhang, Jian, Jin, Yi, and Jiang, Meichen
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- *
FERNS , *SPECIES diversity , *BOTANY , *BIODIVERSITY - Abstract
Aim: Globally, biodiversity is unevenly distributed, as a result of varying environmental conditions and regionally different historical processes. The influence of the latter on current diversity patterns is poorly understood. We explore geographic patterns of matches and mismatches between phylogenetic relatedness metrics measuring different depths of evolutionary history and investigate the effects of evolutionary legacy at different evolutionary depths on species density of ferns. Methods: We divided the globe into 392 geographic regions on land, and collated species lists of ferns for each geographic region. We related species richness to phylogenetic metrics reflecting different depths of evolutionary history (standardized effect sizes of mean nearest taxon distance and mean pairwise distance, MNTDses and MPDses, respectively) for ferns in regional floras across the world. Location: Global. Time Period: Current. Taxon: Ferns. Results: We show that different centers of fern diversity have strikingly different phylogenetic composition. We find that overall fern species diversity is negatively correlated with both MNTDses and MPDses, so that regions with high species diversity tend to have clustered species assemblages, whereas species‐poor regions tend to have overdispersed species assemblages. At the global extent, MNTDses and MPDses together explained 62.2%, 19.3%, and 65.7% of the variation in species diversity for all ferns as a whole, non‐polypod ferns, and polypods, respectively. Main Conclusions: Our study suggests that current geographic patterns of fern species richness are driven, at least in part, by evolutionary history of ferns, which varies among biogeographic regions. [ABSTRACT FROM AUTHOR]
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- 2024
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42. Exome sequencing and analysis of 454,787 UK Biobank participants
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Backman, Joshua D., Li, Alexander H., Marcketta, Anthony, Sun, Dylan, Mbatchou, Joelle, Kessler, Michael D., Benner, Christian, Liu, Daren, Locke, Adam E., Balasubramanian, Suganthi, Yadav, Ashish, Banerjee, Nilanjana, Gillies, Christopher E., Damask, Amy, Liu, Simon, Bai, Xiaodong, and Hawes, Alicia
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Exome sequencing -- Methods ,Genetic variation -- Identification and classification ,Gene banks -- Usage ,Environmental issues ,Science and technology ,Zoology and wildlife conservation - Abstract
A major goal in human genetics is to use natural variation to understand the phenotypic consequences of altering each protein-coding gene in the genome. Here we used exome sequencing.sup.1 to explore protein-altering variants and their consequences in 454,787 participants in the UK Biobank study.sup.2. We identified 12 million coding variants, including around 1 million loss-of-function and around 1.8 million deleterious missense variants. When these were tested for association with 3,994 health-related traits, we found 564 genes with trait associations at P [less than or equal to] 2.18 × 10.sup.-11. Rare variant associations were enriched in loci from genome-wide association studies (GWAS), but most (91%) were independent of common variant signals. We discovered several risk-increasing associations with traits related to liver disease, eye disease and cancer, among others, as well as risk-lowering associations for hypertension (SLC9A3R2), diabetes (MAP3K15, FAM234A) and asthma (SLC27A3). Six genes were associated with brain imaging phenotypes, including two involved in neural development (GBE1, PLD1). Of the signals available and powered for replication in an independent cohort, 81% were confirmed; furthermore, association signals were generally consistent across individuals of European, Asian and African ancestry. We illustrate the ability of exome sequencing to identify gene-trait associations, elucidate gene function and pinpoint effector genes that underlie GWAS signals at scale. Whole-exome sequencing analysis of 454,787 individuals in the UK Biobank is used to examine the association of protein-coding variants with nearly 4,000 health-related traits, identifying 564 distinct genes with significant trait associations., Author(s): Joshua D. Backman [sup.1] , Alexander H. Li [sup.1] , Anthony Marcketta [sup.1] , Dylan Sun [sup.1] , Joelle Mbatchou [sup.1] , Michael D. Kessler [sup.1] , Christian Benner [...]
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- 2021
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43. Author Correction: Common and rare variant associations with clonal haematopoiesis phenotypes
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Kessler, Michael D., Damask, Amy, O’Keeffe, Sean, Banerjee, Nilanjana, Li, Dadong, Watanabe, Kyoko, Marketta, Anthony, Van Meter, Michael, Semrau, Stefan, Horowitz, Julie, Tang, Jing, Kosmicki, Jack A., Rajagopal, Veera M., Zou, Yuxin, Houvras, Yariv, Ghosh, Arkopravo, Gillies, Christopher, Mbatchou, Joelle, White, Ryan R., Verweij, Niek, Bovijn, Jonas, Parikshak, Neelroop N., LeBlanc, Michelle G., Jones, Marcus, Glass, David J., Lotta, Luca A., Cantor, Michael N., Atwal, Gurinder S., Locke, Adam E., Ferreira, Manuel A. R., Deering, Raquel, Paulding, Charles, Shuldiner, Alan R., Thurston, Gavin, Ferrando, Adolfo A., Salerno, Will, Reid, Jeffrey G., Overton, John D., Marchini, Jonathan, Kang, Hyun M., Baras, Aris, Abecasis, Gonçalo R., and Jorgenson, Eric
- Published
- 2023
- Full Text
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44. Shifts in food plant abundance for flower-visiting insects between 1900 and 2017 in the canton of Zurich, Switzerland
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Abrahamczyk, Stefan, Wohlgemuth, Thomas, Nobis, Michael, Nyffeler, Reto, and Kessler, Michael
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- 2020
45. Phylogenetic classification of the world’s tropical forests
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Slik, JW Ferry, Franklin, Janet, Arroyo-Rodríguez, Víctor, Field, Richard, Aguilar, Salomon, Aguirre, Nikolay, Ahumada, Jorge, Aiba, Shin-Ichiro, Alves, Luciana F, K, Anitha, Avella, Andres, Mora, Francisco, Aymard C, Gerardo A, Báez, Selene, Balvanera, Patricia, Bastian, Meredith L, Bastin, Jean-François, Bellingham, Peter J, van den Berg, Eduardo, da Conceição Bispo, Polyanna, Boeckx, Pascal, Boehning-Gaese, Katrin, Bongers, Frans, Boyle, Brad, Brambach, Fabian, Brearley, Francis Q, Brown, Sandra, Chai, Shauna-Lee, Chazdon, Robin L, Chen, Shengbin, Chhang, Phourin, Chuyong, George, Ewango, Corneille, Coronado, Indiana M, Cristóbal-Azkarate, Jurgi, Culmsee, Heike, Damas, Kipiro, Dattaraja, HS, Davidar, Priya, DeWalt, Saara J, Din, Hazimah, Drake, Donald R, Duque, Alvaro, Durigan, Giselda, Eichhorn, Karl, Eler, Eduardo Schmidt, Enoki, Tsutomu, Ensslin, Andreas, Fandohan, Adandé Belarmain, Farwig, Nina, Feeley, Kenneth J, Fischer, Markus, Forshed, Olle, Garcia, Queila Souza, Garkoti, Satish Chandra, Gillespie, Thomas W, Gillet, Jean-Francois, Gonmadje, Christelle, Granzow-de la Cerda, Iñigo, Griffith, Daniel M, Grogan, James, Hakeem, Khalid Rehman, Harris, David J, Harrison, Rhett D, Hector, Andy, Hemp, Andreas, Homeier, Jürgen, Hussain, M Shah, Ibarra-Manríquez, Guillermo, Hanum, I Faridah, Imai, Nobuo, Jansen, Patrick A, Joly, Carlos Alfredo, Joseph, Shijo, Kartawinata, Kuswata, Kearsley, Elizabeth, Kelly, Daniel L, Kessler, Michael, Killeen, Timothy J, Kooyman, Robert M, Laumonier, Yves, Laurance, Susan G, Laurance, William F, Lawes, Michael J, Letcher, Susan G, Lindsell, Jeremy, Lovett, Jon, Lozada, Jose, Lu, Xinghui, Lykke, Anne Mette, Mahmud, Khairil Bin, Mahayani, Ni Putu Diana, Mansor, Asyraf, Marshall, Andrew R, Martin, Emanuel H, Calderado Leal Matos, Darley, Meave, Jorge A, Melo, Felipe PL, Mendoza, Zhofre Huberto Aguirre, and Metali, Faizah
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Biodiversity ,Conservation of Natural Resources ,Environmental Monitoring ,Forests ,Phylogeny ,Plants ,Tropical Climate ,biogeographic legacies ,forest classification ,forest functional similarity ,phylogenetic community distance ,tropical forests - Abstract
Knowledge about the biogeographic affinities of the world's tropical forests helps to better understand regional differences in forest structure, diversity, composition, and dynamics. Such understanding will enable anticipation of region-specific responses to global environmental change. Modern phylogenies, in combination with broad coverage of species inventory data, now allow for global biogeographic analyses that take species evolutionary distance into account. Here we present a classification of the world's tropical forests based on their phylogenetic similarity. We identify five principal floristic regions and their floristic relationships: (i) Indo-Pacific, (ii) Subtropical, (iii) African, (iv) American, and (v) Dry forests. Our results do not support the traditional neo- versus paleotropical forest division but instead separate the combined American and African forests from their Indo-Pacific counterparts. We also find indications for the existence of a global dry forest region, with representatives in America, Africa, Madagascar, and India. Additionally, a northern-hemisphere Subtropical forest region was identified with representatives in Asia and America, providing support for a link between Asian and American northern-hemisphere forests.
- Published
- 2018
46. FOUR NEW AND FIVE OVERLOOKED RECORDS OF VASCULAR PLANTS FROM HIGH ELEVATION PUNA GRASSLANDS OF THE SOUTHERN PERUVIAN ANDES
- Author
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Sylvester, Steven P, Sylvester, Mitsy D P V, Kessler, Michael, and BioStor
- Published
- 2017
47. Threaded Pin and Volar Plate Fixation of Distal Radius Fractures: Early Functional Recovery
- Author
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Vaida, Justin, Luchini, Patrick M., Glener, Julie E., Kessler, Michael W., McCabe, Lucy A., and Taras, John S.
- Published
- 2021
- Full Text
- View/download PDF
48. Evolutionary history of modern Samoans
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Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Population Genetics Working Group, Harris, Daniel N., Kessler, Michael D., Shetty, Amol C., Weeks, Daniel E., Minster, Ryan L., Browning, Sharon, Cochrane, Ethan E., Deka, Ranjan, Hawley, Nicola L., Reupena, Muagututi‘a Sefuiva, Naseri, Take, McGarvey, Stephen T., and O’Connor, Timothy D.
- Published
- 2020
49. Spore dispersal of Selaginella denticulata , S. helvetica , and S. selaginoides , and the significance of heterospory in Selaginellacae
- Author
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Schneller, Jakob and Kessler, Michael
- Published
- 2020
50. De novo mutations across 1,465 diverse genomes reveal mutational insights and reductions in the Amish founder population
- Author
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National Heart Lung, and Blood Institute Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Population Genetics Working Group, Kessler, Michael D., Loesch, Douglas P., Perry, James A., Heard-Costa, Nancy L., Taliun, Daniel, Cade, Brian E., Wang, Heming, Daya, Michelle, Ziniti, John, Datta, Soma, Celedón, Juan C., Soto-Quiros, Manuel E., Avila, Lydiana, Weiss, Scott T., Barnes, Kathleen, Redline, Susan S., Vasan, Ramachandran S., Johnson, Andrew D., Mathias, Rasika A., Hernandez, Ryan, Wilson, James G., Nickerson, Deborah A., Abecasis, Goncalo, Browning, Sharon R., Zöllne, Sebastian, O’Connell, Jeffrey R., Mitchell, Braxton D., and O’Connor, Timothy D.
- Published
- 2020
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