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Crop genome‐wide association study: a harvest of biological relevance
Crop genome‐wide association study: a harvest of biological relevance
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Crop genome‐wide association study: a harvest of biological relevance

Liu, Hai‐Jun ; Yan, Jianbing

The Plant journal : for cell and molecular biology, 2019-01, Vol.97 (1), p.8-18 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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2
Genetic identification of cell types underlying brain complex traits yields insights into the etiology of Parkinson's disease
Genetic identification of cell types underlying brain complex traits yields insights into the etiology of Parkinson's disease
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Genetic identification of cell types underlying brain complex traits yields insights into the etiology of Parkinson's disease

Bryois, Julien ; Skene, Nathan G ; Hansen, Thomas Folkmann ; Kogelman, Lisette J A ; Watson, Hunna J ; Liu, Zijing ; Brueggeman, Leo ; Breen, Gerome ; Bulik, Cynthia M ; Arenas, Ernest ; Hjerling-Leffler, Jens ; Sullivan, Patrick F

Nature genetics, 2020-05, Vol.52 (5), p.482-493 [Periódico revisado por pares]

United States: Nature Publishing Group

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3
Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence
Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence
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Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence

Savage, Jeanne E ; Jansen, Philip R ; Stringer, Sven ; Watanabe, Kyoko ; Bryois, Julien ; de Leeuw, Christiaan A ; Nagel, Mats ; Awasthi, Swapnil ; Barr, Peter B ; Coleman, Jonathan R I ; Grasby, Katrina L ; Kaminski, Jakob A ; Karlsson, Robert ; Krapohl, Eva ; Lam, Max ; Nygaard, Marianne ; Reynolds, Chandra A ; Trampush, Joey W ; Young, Hannah ; Zabaneh, Delilah ; Hägg, Sara ; Hansell, Narelle K ; Karlsson, Ida K ; Linnarsson, Sten ; Montgomery, Grant W ; Muñoz-Manchado, Ana B ; Quinlan, Erin B ; Skene, Nathan G ; Webb, Bradley T ; White, Tonya ; Arking, Dan E ; Avramopoulos, Dimitrios ; Bilder, Robert M ; Bitsios, Panos ; Burdick, Katherine E ; Cannon, Tyrone D ; Christoforou, Andrea ; Cirulli, Elizabeth T ; Congdon, Eliza ; Corvin, Aiden ; Davies, Gail ; Deary, Ian J ; DeRosse, Pamela ; Dickinson, Dwight ; Djurovic, Srdjan ; Donohoe, Gary ; Eriksson, Johan G ; Espeseth, Thomas ; Freimer, Nelson A ; Giakoumaki, Stella ; Gill, Michael ; Glahn, David C ; Hariri, Ahmad R ; Keller, Matthew C ; Koltai, Deborah ; Konte, Bettina ; Le Hellard, Stephanie ; Lencz, Todd ; Liewald, David C ; London, Edythe ; Lundervold, Astri J ; Malhotra, Anil K ; Melle, Ingrid ; Morris, Derek ; Need, Anna C ; Ollier, William ; Palotie, Aarno ; Payton, Antony ; Pendleton, Neil ; Poldrack, Russell A ; Räikkönen, Katri ; Reinvang, Ivar ; Roussos, Panos ; Rujescu, Dan ; Sabb, Fred W ; Scult, Matthew A ; Starr, John M ; Sundet, Kjetil ; Tiemeier, Henning ; Voineskos, Aristotle N ; Weinberger, Daniel R ; Yu, Jin ; Abecasis, Goncalo ; Andreassen, Ole A ; Breen, Gerome ; Christiansen, Lene ; Dick, Danielle M ; Heinz, Andreas ; Hjerling-Leffler, Jens ; Ikram, M Arfan ; Kendler, Kenneth S ; Martin, Nicholas G ; Medland, Sarah E ; Pedersen, Nancy L ; Polderman, Tinca J C ; Ripke, Stephan ; van der Sluis, Sophie ; Sullivan, Patrick F ; Wright, Margaret J ; Posthuma, Danielle

Nature genetics, 2018-07, Vol.50 (7), p.912-919 [Periódico revisado por pares]

United States: Nature Publishing Group

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4
Phenome-wide association studies across large population cohorts support drug target validation
Phenome-wide association studies across large population cohorts support drug target validation
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Phenome-wide association studies across large population cohorts support drug target validation

Diogo, Dorothée ; Tian, Chao ; Franklin, Christopher S ; Alanne-Kinnunen, Mervi ; March, Michael ; Spencer, Chris C A ; Vangjeli, Ciara ; Weale, Michael E ; Mattsson, Hannele ; Kilpeläinen, Elina ; Sleiman, Patrick M A ; Reilly, Dermot F ; McElwee, Joshua ; Maranville, Joseph C ; Chatterjee, Arnaub K ; Bhandari, Aman ; Nguyen, Khanh-Dung H ; Estrada, Karol ; Reeve, Mary-Pat ; Hutz, Janna ; Bing, Nan ; John, Sally ; MacArthur, Daniel G ; Salomaa, Veikko ; Ripatti, Samuli ; Hakonarson, Hakon ; Daly, Mark J ; Palotie, Aarno ; Hinds, David A ; Donnelly, Peter ; Fox, Caroline S ; Day-Williams, Aaron G ; Plenge, Robert M ; Runz, Heiko

Nature communications, 2018-10, Vol.9 (1), p.4285-13, Article 4285 [Periódico revisado por pares]

England: Nature Publishing Group

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5
Multitrait genome-wide association analysis of Populus trichocarpa identifies key polymorphisms controlling morphological and physiological traits
Multitrait genome-wide association analysis of Populus trichocarpa identifies key polymorphisms controlling morphological and physiological traits
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Multitrait genome-wide association analysis of Populus trichocarpa identifies key polymorphisms controlling morphological and physiological traits

Chhetri, Hari B. ; Macaya-Sanz, David ; Kainer, David ; Biswal, Ajaya K. ; Evans, Luke M. ; Chen, Jin-Gui ; Collins, Cassandra ; Hunt, Kimberly ; Mohanty, Sushree S. ; Rosenstiel, Todd ; Ryno, David ; Winkeler, Kim ; Yang, Xiaohan ; Jacobson, Daniel ; Mohnen, Debra ; Muchero, Wellington ; Strauss, Steven H. ; Tschaplinski, Timothy J. ; Tuskan, Gerald A. ; DiFazio, Stephen P.

The New phytologist, 2019-07, Vol.223 (1), p.293-309 [Periódico revisado por pares]

England: Wiley

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6
A tutorial on conducting genome‐wide association studies: Quality control and statistical analysis
A tutorial on conducting genome‐wide association studies: Quality control and statistical analysis
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A tutorial on conducting genome‐wide association studies: Quality control and statistical analysis

Marees, Andries T. ; Kluiver, Hilde ; Stringer, Sven ; Vorspan, Florence ; Curis, Emmanuel ; Marie‐Claire, Cynthia ; Derks, Eske M.

International journal of methods in psychiatric research, 2018-06, Vol.27 (2), p.e1608-n/a [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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7
Integrating a genome‐wide association study with a large‐scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice
Integrating a genome‐wide association study with a large‐scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice
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Integrating a genome‐wide association study with a large‐scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice

Anacleto, Roslen ; Badoni, Saurabh ; Parween, Sabiha ; Butardo, Vito M. ; Misra, Gopal ; Cuevas, Rosa Paula ; Kuhlmann, Markus ; Trinidad, Trinidad P. ; Mallillin, Aida C. ; Acuin, Cecilia ; Bird, Anthony R. ; Morell, Matthew K. ; Sreenivasulu, Nese

Plant biotechnology journal, 2019-07, Vol.17 (7), p.1261-1275 [Periódico revisado por pares]

England: John Wiley & Sons, Inc

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8
Genome‐wide association study discovered candidate genes of Verticillium wilt resistance in upland cotton (Gossypium hirsutum L.)
Genome‐wide association study discovered candidate genes of Verticillium wilt resistance in upland cotton (Gossypium hirsutum L.)
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Genome‐wide association study discovered candidate genes of Verticillium wilt resistance in upland cotton (Gossypium hirsutum L.)

Li, Tinggang ; Ma, Xuefeng ; Li, Nanyang ; Zhou, Lei ; Liu, Zheng ; Han, Huanyong ; Gui, Yuejing ; Bao, Yuming ; Chen, Jieyin ; Dai, Xiaofeng

Plant biotechnology journal, 2017-12, Vol.15 (12), p.1520-1532 [Periódico revisado por pares]

England: John Wiley & Sons, Inc

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9
Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits
Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits
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Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits

Zhao, Bingxin ; Luo, Tianyou ; Li, Tengfei ; Li, Yun ; Zhang, Jingwen ; Shan, Yue ; Wang, Xifeng ; Yang, Liuqing ; Zhou, Fan ; Zhu, Ziliang ; Zhu, Hongtu

Nature genetics, 2019-11, Vol.51 (11), p.1637-1644 [Periódico revisado por pares]

United States: Nature Publishing Group

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10
Transcriptome‐wide association studies accounting for colocalization using Egger regression
Transcriptome‐wide association studies accounting for colocalization using Egger regression
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Transcriptome‐wide association studies accounting for colocalization using Egger regression

Barfield, Richard ; Feng, Helian ; Gusev, Alexander ; Wu, Lang ; Zheng, Wei ; Pasaniuc, Bogdan ; Kraft, Peter

Genetic epidemiology, 2018-07, Vol.42 (5), p.418-433 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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