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Flannick, Jason, Fuchsberger, Christian, Mahajan, Anubha, Teslovich, Tanya M, Agarwala, Vineeta, Gaulton, Kyle J, Caulkins, Lizz, Koesterer, Ryan, Ma, Clement, Moutsianas, Loukas et al (show 291 more authors) , McCarthy, Davis J, Rivas, Manuel A, Perry, John RB, Sim, Xueling, Blackwell, Thomas W, Robertson, Neil R, Rayner, N William, Cingolani, Pablo, Locke, Adam E, Tajes, Juan Fernandez, Highland, Heather M, Dupuis, Josee, Chines, Peter S, Lindgren, Cecilia M, Hartl, Christopher, Jackson, Anne U, Chen, Han, Huyghe, Jeroen R, De Bunt, Martijn Van, Pearson, Richard D, Kumar, Ashish, Muller-Nurasyid, Martina, Grarup, Niels, Stringham, Heather M, Gamazon, Eric R, Lee, Jaehoon, Chen, Yuhui, Scott, Robert A, Below, Jennifer E, Chen, Peng, Huang, Jinyan, Go, Min Jin, Stitzel, Michael L, Pasko, Dorota, Parker, Stephen CJ, Varga, Tibor V, Green, Todd, Beer, Nicola L, Day-Williams, Aaron G, Ferreira, Teresa, Fingerlin, Tasha, Horikoshi, Momoko, Hu, Cheng, Huh, Iksoo, Ikram, Mohammad Kamran, 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Data Descriptor: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.
SCIENTIFIC DATA, 4 (1).
170179-.
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NATURE GENETICS, 49 (12).
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Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.
Nature Genetics, 50 (10).
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Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.
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Lake, Victoria, Metherell, Stella, Radford, Elizabeth, Clement, Ian, Patel, Bijal, Gulati, A, Hays, Carole, Webster, K, Hudson, Anne, Webster, Andrea, Stephenson, Elaine, McCormack, Louise, Slater, Victoria, Nixon, Rachel, Hanson, Helen, Fearby, Maggie, Kelly, Sinead, Bridgett, Victoria, Robinson, Philip, Almaden-Boyle, Christine, Austin, Pauline, Cabrelli, Louise, Cole, Stephen, Casey, Matt, Chapman, Susan, Whyte, Clare, Brayne, Adam, Fisher, Emma, Hunt, Jane, Jackson, Peter, Kaye, Duncan, Love, Nicholas, Parkin, Juliet, Tuckey, Victoria, van Koutrik, Lynne, Carter, Sasha, Andrew, Benedict, Findlay, Louise, Adams, Katie, Bruce, Michelle, Connolly, Karen, Duncan, Tracy, T-Michael, Helen, Lindergard, Gabriella, Hey, Samuel, Fox, Claire, Alfonso, Jordan, Durrans, Laura Jayne, Guerin, Jacinta, Hruska, Martin, Eltayeb, Ayaa, Lamb, Thomas, Hodgkiss, Tracey, Cooper, Lisa, Rothwell, Joanne, Dennis, Catherine, McGregor, Alastair, Srikaran, Sinduya, Sukha, Anisha, Davies, Kim, O'Brien, Linda, Omar, Zohra, Perkins, Emma, Lewis, Tracy, Sutherland, Isobel, Brooke, Hollie, Buckley, Sarah, Suarez, Jose Cebrian, Charlesworth, Ruth, Hansson, Karen, Norris, John, Poole, Alice, Rose, Alastair, Sandhu, Rajdeep, Sloan, Brendan, Smithson, Elizabeth, Thirumaran, Muthu, Wagstaff, Veronica, Metcalfe, Alexandra, Camsooksai, Julie, Humphrey, Charlotte, Jenkins, Sarah, Wadams, Beverley, DeAth, Yasmin, Adams, Colene, Agasou, Anita, Bowes, Amy, Boyle, Pauline, Carnahan, Mandy, Carter, Anne, Childs, Danielle, Hard, Kelly, Hussain, Yasmin, Leigh, Michael, Rikunenko, Rachel, Stickley, Jo, Tivenan, Helen, Wilcox, Rebecca, Arden, Tracie, Beekes, Mandy, Button, Heather, Donaldson, Denise, Hurford, Fran, Javaid, Ayesha, Jones, James, Martin, Terry, Millward, Helen, Motherwell, Nichola, Summers, Julie, Ting, Louise, Tonks, Louise, Bokhari, Maria, Lucas, Rachael, McCormick, Wendy, Ritzema, Jenny, Sanderson, Amanda, Wild, Helen, Baxter, Nicola, Henderson, Steven, Kennedy-Hay, Sophie, McParland, 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Morita, Atsuho, Lee, Ho, Asakura, Takanori, Edahiro, Ryuya, Sonehara, Kyuto, Shirai, Yuya, Suzuki, Ken, Kumanogoh, Atsushi, Imoto, Seiya, Katayama, Kazuhiko, Kitagawa, Yuko, Sato, Toshiro, Hasegawa, Naoki, Takeda, Yoshito, Hirata, Haruhiko, Shiroyama, Takayuki, Maeda, Yuichi, Nii, Takuro, Noda, Yoshimi, Niitsu, Takayuki, Adachi, Yuichi, Enomoto, Takatoshi, Amiya, Saori, Hara, Reina, Kimura, Akinori, Ai, Masumi, Tokunaga, Katsushi, Omae, Yosuke, Kanai, Takanori, Nanki, Kosaku, Mikami, Yohei, Miyano, Satoru, Takahashi, Kunihiko, Anzai, Tatsuhiko, Hasegawa, Takanori, Ito, Satoshi, Ogawa, Seishi, Sasaki, Junichi, Morisaki, Hiroshi, Uwamino, Yoshifumi, Tomono, Kazunori, Kato, Kazuto, Matsuda, Fumihiko, Takahashi, Meiko, Hizawa, Nobuyuki, Miyawaki, Satoru, Koike, Ryuji, Endo, Akifumi, Uchimura, Yuji, Miyazaki, Yasunari, Honda, Takayuki, Tateishi, Tomoya, Tohda, Shuji, Ichimura, Naoya, Sonobe, Kazunari, Sassa, Chihiro, Nakajima, Jun, Nannya, Yasuhito, Takahashi, Kazuhisa, Harada, Norihiro, 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NATURE GENETICS, 51 (3).
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Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution.
Nature genetics, 51 (3).
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Rare and low-frequency coding variants alter human adult height.
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Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes.
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Sequence data and association statistics from 12,940 type 2 diabetes cases and controls (vol 4, 170179, 2017).
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Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension.
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(2019)
A catalog of genetic loci associated with kidney function from analyses of a million individuals.
NATURE GENETICS, 51 (6).
957-+.
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Fuchsberger, Christian, Flannick, Jason, Teslovich, Tanya M, Mahajan, Anubha, Agarwala, Vineeta, Gaulton, Kyle J, Ma, Clement, Fontanillas, Pierre, Moutsianas, Loukas, McCarthy, Davis J et al (show 291 more authors) , Rivas, Manuel A, Perry, John RB, Sim, Xueling, Blackwell, Thomas W, Robertson, Neil R, Rayner, N William, Cingolani, Pablo, Locke, Adam E, Tajes, Juan Fernandez, Highland, Heather M, Dupuis, Josee, Chines, Peter S, Lindgren, Cecilia M, Hartl, Christopher, Jackson, Anne U, Chen, Han, Huyghe, Jeroen R, van de Bunt, Martijn, Pearson, Richard D, Kumar, Ashish, Mueller-Nurasyid, Martina, Grarup, Niels, Stringham, Heather M, Gamazon, Eric R, Lee, Jaehoon, Chen, Yuhui, Scott, Robert A, Below, Jennifer E, Chen, Peng, Huang, Jinyan, Go, Min Jin, Stitzel, Michael L, Pasko, Dorota, Parker, Stephen CJ, Varga, Tibor V, Green, Todd, Beer, Nicola L, Day-Williams, Aaron G, Ferreira, Teresa, Fingerlin, Tasha, Horikoshi, Momoko, Hu, Cheng, Huh, Iksoo, Ikram, Mohammad Kamran, Kim, Bong-Jo, 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The genetic architecture of type 2 diabetes.
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41-+.
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A genomic approach to therapeutic target validation identifies a glucose-lowering <i>GLP1R</i> variant protective for coronary heart disease.
SCIENCE TRANSLATIONAL MEDICINE, 8 (341).
341ra76-.