Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Pranav Yajnik"'
Autor:
Susan K Service, Tanya M Teslovich, Christian Fuchsberger, Vasily Ramensky, Pranav Yajnik, Daniel C Koboldt, David E Larson, Qunyuan Zhang, Ling Lin, Ryan Welch, Li Ding, Michael D McLellan, Michele O'Laughlin, Catrina Fronick, Lucinda L Fulton, Vincent Magrini, Amy Swift, Paul Elliott, Marjo-Riitta Jarvelin, Marika Kaakinen, Mark I McCarthy, Leena Peltonen, Anneli Pouta, Lori L Bonnycastle, Francis S Collins, Narisu Narisu, Heather M Stringham, Jaakko Tuomilehto, Samuli Ripatti, Robert S Fulton, Chiara Sabatti, Richard K Wilson, Michael Boehnke, Nelson B Freimer
Publikováno v:
PLoS Genetics, Vol 10, Iss 1, p e1004147 (2014)
Genome-wide association studies (GWAS) have identified >500 common variants associated with quantitative metabolic traits, but in aggregate such variants explain at most 20-30% of the heritable component of population variation in these traits. To fu
Externí odkaz:
https://doaj.org/article/cccda629ff904e299d949ef816850660
Publikováno v:
Therapeutic Innovation & Regulatory Science. 57:445-452
Bayesian strategies for planning and analyzing clinical trials have become a viable choice, especially in rare diseases where drug development faces many challenges and stakeholders are interested in innovations that may help overcome them. Disease n
Publikováno v:
Statistics in Biopharmaceutical Research. 14:42-51
Medical investigations for therapeutics and vaccines for combating a pandemic such as COVID-19, call for flexible and adaptive trial designs that are capable of producing robust results amidst unce...
Autor:
Pranav Yajnik, Michael Boehnke
Publikováno v:
Genet Epidemiol
Multiple linear regression is commonly used to test for association between genetic variants and continuous traits and estimate genetic effect sizes. Confounding variables are controlled for by including them as additional covariates. An alternative
Autor:
Chittaranjan S. Yajnik, Rucha H. Wagh, Bjerregaard-Andersen M, Hennild De, Bandyopadhyay S, Stine Byberg, G. M. Gomes, Kaare Christensen, Pranav Yajnik, Rashmi B. Prasad, Morten Sodemann, Møller Jensen D
‘Thrifty phenotype’ hypothesis proposed that fetal undernutrition increases risk of diabetes in later life. Undernourished low birthweight Indian babies are paradoxically more adipose compared to well-nourished European babies, and are at higher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::473e353dc19ed2866bab809024b00d57
https://doi.org/10.1101/2021.07.07.21260161
https://doi.org/10.1101/2021.07.07.21260161
Autor:
Ching-Ti Liu, Michael Boehnke, George Dedoussis, Sophie V. Eastwood, Ruth J. F. Loos, Keng-Hung Lin, Denis Rybin, Fredrik Karpe, Martina Müller-Nurasyid, Michael A. Province, Alison D. Murray, Bo Isomaa, Eirini Marouli, Konstantin Strauch, Michael Preuss, Paul M. Ridker, Jette Bork-Jensen, Albert V. Smith, Hugoline G. de Haan, Wayne Huey-Herng Sheu, Barbara Thorand, Wolfgang Rathmann, Lawrence F. Bielak, Peter Kovacs, Marit E. Jørgensen, Jennifer Wessel, Danish Saleheen, Jung-Jin Lee, James B. Meigs, Veikko Salomaa, Alena Stančáková, Tibor V. Varga, Hidetoshi Kitajima, Inês Barroso, Kent D. Taylor, Claudia Langenberg, Yoon Shin Cho, Joanna M. M. Howson, Andrew T. Hattersley, Marie-France Hivert, Markku Laakso, Kai-Uwe Eckardt, Bram P. Prins, Matthias B. Schulze, Andrew D. Morris, Susanne Jäger, Francis S. Collins, Kristi Läll, Xu Lin, Anette Varbo, Benjamin Lehne, Girish N. Nadkarni, Jonathan Marchini, Daniel I. Chasman, Michael Stumvoll, Mark O. Goodarzi, Cécile Lecoeur, Philippe M. Frossard, Noël P. Burtt, Frank Kee, Jasmina Kravic, Alain G. Bertoni, Ivan Brandslund, Najaf Amin, Lenore J. Launer, Oluf Pedersen, Johanna Kuusisto, Line Rode, Eleftheria Zeggini, Yingchang Lu, Markus Perola, Helen R. Warren, André G. Uitterlinden, Hanieh Yaghootkar, Torben Hansen, Harald Grallert, Annemari Käräjämäki, Abbas Dehghan, Gina M. Peloso, Yii-Der Ida Chen, Man Li, Shaofeng Huo, Lars Lind, Karen L. Mohlke, Adrienne Tin, Yang Hai, Renée de Mutsert, Gudmar Thorleifsson, Marie Moitry, Sune F. Nielsen, Sara M. Willems, Matthias Wuttke, Weihua Zhang, Young-Jin Kim, Giovanni Malerba, Richard A. Jensen, Loic Yengo, Mickaël Canouil, Kurt Lohman, Robert A. Scott, Tamara B. Harris, Ruifang Li-Gao, Florian Kronenberg, Anke Tönjes, Bok-Ghee Han, Krista Fischer, Thomas Meitinger, James S. Pankow, Jaakko Tuomilehto, Adam S. Butterworth, Jerome I. Rotter, Olov Rolandsson, Xiuqing Guo, Cramer Christensen, Marie Loh, Elizabeth Selvin, Bong-Jo Kim, Audrey Y. Chu, Reedik Mägi, Josée Dupuis, Anna Köttgen, Jean Ferrières, Jin Li, Robert Sladek, Leslie A. Lange, Niels Grarup, Roberta McKean-Cowdin, Cristen J. Willer, Jose C. Florez, Valgerdur Steinthorsdottir, Karina Meidtner, Annette Peters, Børge G. Nordestgaard, Rajiv Chowdhury, Ioanna Ntalla, Emma Ahlqvist, Leif Groop, Nicholas J. Wareham, Kerrin S. Small, Tiinamaija Tuomi, Cecilia M. Lindgren, Katharine R. Owen, Giovanni Gambaro, Cornelia M. van Duijn, Dennis O. Mook-Kanamori, Kenneth Rice, Erik Ingelsson, Colin N. A. Palmer, Sharon L.R. Kardia, Neil R. Robertson, Dajiang J. Liu, Sebastian Schönherr, Daniel Taliun, Sekar Kathiresan, James G. Wilson, Ping An, Patricia A. Peyser, Matthias Blüher, Frits R. Rosendaal, John C. Chambers, Caroline Hayward, Shoaib Afzal, Fernando Rivadineira, Marielisa Graff, Pranav Yajnik, Vasiliki Mamakou, Juan Fernandez Tajes, Stefan Gustafsson, Heather M. Highland, Vilmantas Giedraitis, Andrew R. Wood, Saima Afaq, Jaspal S. Kooner, Megan L. Grove, Jennifer A. Brody, Andrew P. Morris, James P. Cook, Praveen Surendran, Jennifer Kriebel, Heikki A. Koistinen, Kari Stefansson, Anders Rosengren, Rainer Rauramaa, Satu Männistö, Oscar H. Franco, Yongmei Liu, N. William Rayner, Blair H. Smith, Erwin P. Bottinger, Ayse Demirkan, Allan Linneberg, Jonathan Marten, Huaixing Li, Sung Soo Kim, Sophie Hackinger, Cristina Bombieri, Lia B. Bang, Jun Liu, Asif Rasheed, Tim D. Spector, Paul W. Franks, Mark I. McCarthy, Heiner Boeing, Anne E. Justice, Vilmundur Gudnason, Sohee Han, Unnur Thorsteinsdottir, Panos Deloukas, Naveed Sattar, Eric Boerwinkle, Martin Ingelsson, John Danesh, Vassily Trubetskoy, Marco M Ferrario, Marju Orho-Melander, Wei Gan, Philippe Froguel, Symen Ligthart, Susan R. Heckbert, Jie Yao, Anne Tybjærg-Hansen, Robin Young, Daniel R. Witte, Anubha Mahajan, Peter Almgren, Timothy M. Frayling, Tanya M. Teslovich, Matt Neville, Philippe Amouyel, Wei Zhao, Andres Metspalu, Yao Hu, Olle Melander, Kari Kuulasmaa, Jason Flannick, Torben Jørgensen, Stephen S. Rich, Nicole Soranzo, Bruce M. Psaty, Rohit Varma
Publikováno v:
Grarup, N, Jørgensen, M E, Witte, D R, Hansen, T, Pedersen, O, ExomeBP Consortium, MAGIC Consortium & GIANT Consortium 2018, ' Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes ', Nature Genetics, vol. 50, no. 4, pp. 559-571 . https://doi.org/10.1038/s41588-018-0084-1
Mahajan, A, Wessel, J, Willems, S M, Zhao, W, Robertson, N R, Chu, A Y, Gan, W, Kitajima, H, Taliun, D, Rayner, N W, Guo, X, Lu, Y, Li, M, Jensen, R A, Hu, Y, Huo, S, Lohman, K K, Zhang, W, Cook, J P, Prins, B P, Flannick, J, Grarup, N, Trubetskoy, V V, Kravic, J, Kim, Y J, Rybin, D V, Yaghootkar, H, Müller-Nurasyid, M, Meidtner, K, Li-Gao, R, Varga, T V, Marten, J, Li, J, Smith, A V, An, P, Ligthart, S, Gustafsson, S, Malerba, G, Demirkan, A, Tajes, J F, Steinthorsdottir, V, Wuttke, M, Lecoeur, C, Preuss, M, Bielak, L F, Graff, M, Highland, H M, Morris, A & Hayward, C & Morris, A P 2018, ' Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes ', Nature Genetics, vol. 50, no. 4, pp. 559-571 . https://doi.org/10.1038/s41588-018-0084-1
Mahajan, A, Wessel, J, Willems, S M, Zhao, W, Robertson, N R, Chu, A Y, Gan, W, Kitajima, H, Taliun, D, Rayner, N W, Guo, X, Lu, Y, Li, M, Jensen, R A, Hu, Y, Huo, S, Lohman, K K, Zhang, W, Cook, J P, Prins, B P, Flannick, J, Grarup, N, Trubetskoy, V V, Kravic, J, Kim, Y J, Rybin, D V, Yaghootkar, H, Müller-Nurasyid, M, Meidtner, K, Li-Gao, R, Varga, T V, Marten, J, Li, J, Smith, A V, An, P, Ligthart, S, Gustafsson, S, Malerba, G, Demirkan, A, Tajes, J F, Steinthorsdottir, V, Wuttke, M, Lecoeur, C, Preuss, M, Bielak, L F, Graff, M, Highland, H M, Justice, A E, Liu, D J, Marouli, E, Peloso, G M, Warren, H R, ExomeBP Consortium, MAGIC Consortium, GIANT Consortium, Afaq, S, Afzal, S, Ahlqvist, E, Almgren, P, Amin, N, Bang, L B, Bertoni, A G, Bombieri, C, Bork-Jensen, J, Brandslund, I, Brody, J A, Burtt, N P, Canouil, M, Chen, Y-D I, Cho, Y S, Christensen, C, Eastwood, S V, Eckardt, K-U, Fischer, K, Gambaro, G, Giedraitis, V, Grove, M L, de Haan, H G, Hackinger, S, Hai, Y, Han, S, Tybjærg-Hansen, A, Hivert, M-F, Isomaa, B, Jäger, S, Jørgensen, M E, Jørgensen, T, Käräjämäki, A, Kim, B-J, Kim, S S, Koistinen, H A, Kovacs, P, Kriebel, J, Kronenberg, F, Läll, K, Lange, L A, Lee, J-J, Lehne, B, Li, H, Lin, K-H, Linneberg, A, Liu, C-T, Liu, J, Loh, M, Mägi, R, Mamakou, V, McKean-Cowdin, R, Nadkarni, G, Neville, M, Nielsen, S F, Ntalla, I, Peyser, P A, Rathmann, W, Rice, K, Rich, S S, Rode, L, Rolandsson, O, Schönherr, S, Selvin, E, Small, K S, Stančáková, A, Surendran, P, Taylor, K D, Teslovich, T M, Thorand, B, Thorleifsson, G, Tin, A, Tönjes, A, Varbo, A, Witte, D R, Wood, A R, Yajnik, P, Yao, J, Yengo, L, Young, R, Amouyel, P, Boeing, H, Boerwinkle, E, Bottinger, E P, Chowdhury, R, Collins, F S, Dedoussis, G, Dehghan, A, Deloukas, P, Ferrario, M M, Ferrieres, J, Florez, J C, Frossard, P, Gudnason, V, Harris, T B, Heckbert, S R, Howson, J M M, Ingelsson, M, Kathiresan, S, Kee, F, Kuusisto, J, Langenberg, C, Launer, L J, Lindgren, C M, Männistö, S, Meitinger, T, Melander, O, Mohlke, K L, Moitry, M, Morris, A P, Murray, A D, de Mutsert, R, Orho-Melander, M, Owen, K R, Perola, M, Peters, A, Province, M A, Rasheed, A, Ridker, P M, Rivadineira, F, Rosendaal, F R, Rosengren, A H, Salomaa, V, Sheu, W H-H, Sladek, R, Willer, C J, Blüher, M, Butterworth, A S, Chambers, J C, Chasman, D I, Danesh, J, van Duijn, C M, Dupuis, J, Franco, O H, Franks, P W, Froguel, P, Grallert, H, Groop, L, Kardia, S L R, Karpe, F, Kooner, J S, Köttgen, A, Kuulasmaa, K, Laakso, M, Lin, X, Lind, L, Liu, Y, Loos, R J F, Marchini, J, Metspalu, A, Mook-Kanamori, D O, Nordestgaard, B G, Palmer, C N A, Pankow, J S, Pedersen, O, Psaty, B M, Rauramaa, R, Sattar, N, Schulze, M B, Soranzo, N, Spector, T D, Stefansson, K, Stumvoll, M, Thorsteinsdottir, U, Tuomi, T, Tuomilehto, J, Wareham, N J, Wilson, J G, Zeggini, E, Scott, R A, Barroso, I, Frayling, T M, Goodarzi, M O, Meigs, J B, Boehnke, M, Saleheen, D, Morris, A P, Rotter, J I & McCarthy, M I 2018, ' Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes ', Nature Genetics, vol. 50, no. 4, pp. 559-571 . https://doi.org/10.1038/s41588-018-0084-1
ExomeBP Consortium 2018, ' Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes ', Nature Genetics, vol. 50, no. 4, pp. 559-571 . https://doi.org/10.1038/s41588-018-0084-1
Nature Genetics
Nat. Genet. 50, 559-571 (2018)
NATURE GENETICS
ExomeBP Consortium, MAGIC Consortium, GIANT Consortium, Witte, D R & Hansen, T 2018, ' Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes ', Nature Genetics, vol. 50, no. 4, pp. 559-571 . https://doi.org/10.1038/s41588-018-0084-1
Nature genetics
Nature Genetics, 50(4), 559-+. Nature Publishing Group
Nature Genetics, 50(4), 559
Mahajan, A, Wessel, J, Willems, S M, Zhao, W, Robertson, N R, Chu, A Y, Gan, W, Kitajima, H, Taliun, D, Rayner, N W, Guo, X, Lu, Y, Li, M, Jensen, R A, Hu, Y, Huo, S, Lohman, K K, Zhang, W, Cook, J P, Prins, B P, Flannick, J, Grarup, N, Trubetskoy, V V, Kravic, J, Kim, Y J, Rybin, D V, Yaghootkar, H, Müller-Nurasyid, M, Meidtner, K, Li-Gao, R, Varga, T V, Marten, J, Li, J, Smith, A V, An, P, Ligthart, S, Gustafsson, S, Malerba, G, Demirkan, A, Tajes, J F, Steinthorsdottir, V, Wuttke, M, Lecoeur, C, Preuss, M, Bielak, L F, Graff, M, Highland, H M, Morris, A & Hayward, C & Morris, A P 2018, ' Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes ', Nature Genetics, vol. 50, no. 4, pp. 559-571 . https://doi.org/10.1038/s41588-018-0084-1
Mahajan, A, Wessel, J, Willems, S M, Zhao, W, Robertson, N R, Chu, A Y, Gan, W, Kitajima, H, Taliun, D, Rayner, N W, Guo, X, Lu, Y, Li, M, Jensen, R A, Hu, Y, Huo, S, Lohman, K K, Zhang, W, Cook, J P, Prins, B P, Flannick, J, Grarup, N, Trubetskoy, V V, Kravic, J, Kim, Y J, Rybin, D V, Yaghootkar, H, Müller-Nurasyid, M, Meidtner, K, Li-Gao, R, Varga, T V, Marten, J, Li, J, Smith, A V, An, P, Ligthart, S, Gustafsson, S, Malerba, G, Demirkan, A, Tajes, J F, Steinthorsdottir, V, Wuttke, M, Lecoeur, C, Preuss, M, Bielak, L F, Graff, M, Highland, H M, Justice, A E, Liu, D J, Marouli, E, Peloso, G M, Warren, H R, ExomeBP Consortium, MAGIC Consortium, GIANT Consortium, Afaq, S, Afzal, S, Ahlqvist, E, Almgren, P, Amin, N, Bang, L B, Bertoni, A G, Bombieri, C, Bork-Jensen, J, Brandslund, I, Brody, J A, Burtt, N P, Canouil, M, Chen, Y-D I, Cho, Y S, Christensen, C, Eastwood, S V, Eckardt, K-U, Fischer, K, Gambaro, G, Giedraitis, V, Grove, M L, de Haan, H G, Hackinger, S, Hai, Y, Han, S, Tybjærg-Hansen, A, Hivert, M-F, Isomaa, B, Jäger, S, Jørgensen, M E, Jørgensen, T, Käräjämäki, A, Kim, B-J, Kim, S S, Koistinen, H A, Kovacs, P, Kriebel, J, Kronenberg, F, Läll, K, Lange, L A, Lee, J-J, Lehne, B, Li, H, Lin, K-H, Linneberg, A, Liu, C-T, Liu, J, Loh, M, Mägi, R, Mamakou, V, McKean-Cowdin, R, Nadkarni, G, Neville, M, Nielsen, S F, Ntalla, I, Peyser, P A, Rathmann, W, Rice, K, Rich, S S, Rode, L, Rolandsson, O, Schönherr, S, Selvin, E, Small, K S, Stančáková, A, Surendran, P, Taylor, K D, Teslovich, T M, Thorand, B, Thorleifsson, G, Tin, A, Tönjes, A, Varbo, A, Witte, D R, Wood, A R, Yajnik, P, Yao, J, Yengo, L, Young, R, Amouyel, P, Boeing, H, Boerwinkle, E, Bottinger, E P, Chowdhury, R, Collins, F S, Dedoussis, G, Dehghan, A, Deloukas, P, Ferrario, M M, Ferrieres, J, Florez, J C, Frossard, P, Gudnason, V, Harris, T B, Heckbert, S R, Howson, J M M, Ingelsson, M, Kathiresan, S, Kee, F, Kuusisto, J, Langenberg, C, Launer, L J, Lindgren, C M, Männistö, S, Meitinger, T, Melander, O, Mohlke, K L, Moitry, M, Morris, A P, Murray, A D, de Mutsert, R, Orho-Melander, M, Owen, K R, Perola, M, Peters, A, Province, M A, Rasheed, A, Ridker, P M, Rivadineira, F, Rosendaal, F R, Rosengren, A H, Salomaa, V, Sheu, W H-H, Sladek, R, Willer, C J, Blüher, M, Butterworth, A S, Chambers, J C, Chasman, D I, Danesh, J, van Duijn, C M, Dupuis, J, Franco, O H, Franks, P W, Froguel, P, Grallert, H, Groop, L, Kardia, S L R, Karpe, F, Kooner, J S, Köttgen, A, Kuulasmaa, K, Laakso, M, Lin, X, Lind, L, Liu, Y, Loos, R J F, Marchini, J, Metspalu, A, Mook-Kanamori, D O, Nordestgaard, B G, Palmer, C N A, Pankow, J S, Pedersen, O, Psaty, B M, Rauramaa, R, Sattar, N, Schulze, M B, Soranzo, N, Spector, T D, Stefansson, K, Stumvoll, M, Thorsteinsdottir, U, Tuomi, T, Tuomilehto, J, Wareham, N J, Wilson, J G, Zeggini, E, Scott, R A, Barroso, I, Frayling, T M, Goodarzi, M O, Meigs, J B, Boehnke, M, Saleheen, D, Morris, A P, Rotter, J I & McCarthy, M I 2018, ' Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes ', Nature Genetics, vol. 50, no. 4, pp. 559-571 . https://doi.org/10.1038/s41588-018-0084-1
ExomeBP Consortium 2018, ' Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes ', Nature Genetics, vol. 50, no. 4, pp. 559-571 . https://doi.org/10.1038/s41588-018-0084-1
Nature Genetics
Nat. Genet. 50, 559-571 (2018)
NATURE GENETICS
ExomeBP Consortium, MAGIC Consortium, GIANT Consortium, Witte, D R & Hansen, T 2018, ' Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes ', Nature Genetics, vol. 50, no. 4, pp. 559-571 . https://doi.org/10.1038/s41588-018-0084-1
Nature genetics
Nature Genetics, 50(4), 559-+. Nature Publishing Group
Nature Genetics, 50(4), 559
Identification of coding variant associations for complex diseases offers a direct route to biological insight, but is dependent on appropriate inference concerning the causal impact of those variants on disease risk. We aggregated coding variant dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83ef38d341d4079e9196cb70cb035e2c
https://pure.au.dk/portal/da/publications/refining-the-accuracy-of-validated-target-identification-through-coding-variant-finemapping-in-type-2-diabetes(c1213cf4-47ab-49e6-b8e6-e3a85d879ef4).html
https://pure.au.dk/portal/da/publications/refining-the-accuracy-of-validated-target-identification-through-coding-variant-finemapping-in-type-2-diabetes(c1213cf4-47ab-49e6-b8e6-e3a85d879ef4).html
Autor:
Sandeep Kumar, Andrzej S. Januszewski, Anthony C Keech, Amrutesh S. Puranik, Wilson K. M. Wong, Ramesh R. Bhonde, Amaresh K. Ranjan, Dattatray S. Bhat, Mahesh S. Karandikar, Kishori G Apte, Sanjeev Galande, Pranav Yajnik, Amita Limaye, Chittaranjan S. Yajnik, Sarang N. Satoor, Mugdha V. Joglekar, Malati R. Umrani, Anandwardhan A. Hardikar, Alicia J. Jenkins
Publikováno v:
Cell Metabolism. 22(2):312-319
SummaryPeople in developing countries have faced multigenerational undernutrition and are currently undergoing major lifestyle changes, contributing to an epidemic of metabolic diseases, though the underlying mechanisms remain unclear. Using a Wistar
Autor:
Li Ding, Christian Fuchsberger, Nelson B. Freimer, Narisu Narisu, Lucinda Fulton, Mark I. McCarthy, Catrina Fronick, Michael Boehnke, Chiara Sabatti, Daniel C. Koboldt, Anneli Pouta, Heather M. Stringham, Qunyuan Zhang, Robert S. Fulton, Tanya M. Teslovich, Leena Peltonen, Samuli Ripatti, Richard K. Wilson, David E. Larson, Ryan P. Welch, Vincent Magrini, Vasily Ramensky, Michele O'Laughlin, Francis S. Collins, Ling Lin, Marjo-Riitta Järvelin, Amy J. Swift, Paul Elliott, Michael D. McLellan, Lori L. Bonnycastle, Marika Kaakinen, Jaakko Tuomilehto, Pranav Yajnik
Publikováno v:
PLoS genetics, vol 10, iss 1
PLoS Genetics, Vol 10, Iss 1, p e1004147 (2014)
PLoS Genetics
PLoS Genetics, Vol 10, Iss 1, p e1004147 (2014)
PLoS Genetics
Genome-wide association studies (GWAS) have identified >500 common variants associated with quantitative metabolic traits, but in aggregate such variants explain at most 20–30% of the heritable component of population variation in these traits. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8c23338ebc6d41ea5dbb70c9e39bc9b
http://hdl.handle.net/10044/1/28710
http://hdl.handle.net/10044/1/28710
Autor:
Chittaranjan S. Yajnik, Pranav Yajnik
Publikováno v:
Obesity (Silver Spring, Md.). 17(5)
REFERENcEs 1. Kant P, Hull M. Letter to the editor: effect of weight loss on proinflammatory state of mononuclear cells in obese women. Obesity, this issue. 2. Sheu WHH, Chang TM, Lee WJ et al. Effect of weight loss on proinflammatory state of mononu