Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Andrei Barysenka"'
Autor:
Grace Png, Andrei Barysenka, Linda Repetto, Pau Navarro, Xia Shen, Maik Pietzner, Eleanor Wheeler, Nicholas J. Wareham, Claudia Langenberg, Emmanouil Tsafantakis, Maria Karaleftheri, George Dedoussis, Anders Mälarstig, James F. Wilson, Arthur Gilly, Eleftheria Zeggini
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Serum proteins are easily accessible biomarkers and drug targets. Here, the authors use whole genome sequencing data to describe the genetic architecture of neurologically-relevant serum proteins and establish causal protein-neurological disease rela
Externí odkaz:
https://doaj.org/article/2f5b2a2d19854a24b3c3f873cde81d0b
Autor:
Arthur Gilly, Lucija Klaric, Young-Chan Park, Grace Png, Andrei Barysenka, Joseph A. Marsh, Emmanouil Tsafantakis, Maria Karaleftheri, George Dedoussis, James F. Wilson, Eleftheria Zeggini
Publikováno v:
Molecular Metabolism, Vol 61, Iss , Pp 101509- (2022)
Objective: Deep sequencing offers unparalleled access to rare variants in human populations. Understanding their role in disease is a priority, yet prohibitive sequencing costs mean that many cohorts lack the sample size to discover these effects on
Externí odkaz:
https://doaj.org/article/15f2ee78d2c847708e47b9c89c0c5823
Autor:
Arthur Gilly, Young-Chan Park, Grace Png, Andrei Barysenka, Iris Fischer, Thea Bjørnland, Lorraine Southam, Daniel Suveges, Sonja Neumeyer, N. William Rayner, Emmanouil Tsafantakis, Maria Karaleftheri, George Dedoussis, Eleftheria Zeggini
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
The human proteome represents a crucial link between complex disease and genetic/environmental factors. Here, the authors investigate 257 cardiometabolic-relevant protein biomarkers in whole genome sequencing data from 1328 individuals, revealing the
Externí odkaz:
https://doaj.org/article/641fcf7725ae4b8ab2f58f76c9c92e4f
Autor:
Anika Witten, Frank Rühle, Marlous de Witt, Andrei Barysenka, Michael Stach, Ralf Junker, Ulrike Nowak-Göttl, Monika Stoll
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0237928 (2020)
We recently reported a family-based genome wide association study (GWAS) for pediatric stroke pointing our attention to two significantly associated genes of the ADAMTS (a disintegrin and metalloproteinase with thrombospondin motifs) gene family ADAM
Externí odkaz:
https://doaj.org/article/be43a2b2d0764a27a66034fa655dbc9e
Autor:
Angela Schulz, Nicola Victoria Müller, Nina Anne van de Lest, Andreas Eisenreich, Martina Schmidbauer, Andrei Barysenka, Bettina Purfürst, Anje Sporbert, Theodor Lorenzen, Alexander M Meyer, Laura Herlan, Anika Witten, Frank Rühle, Weibin Zhou, Emile de Heer, Marion Scharpfenecker, Daniela Panáková, Monika Stoll, Reinhold Kreutz
Publikováno v:
eLife, Vol 8 (2019)
Unraveling the genetic susceptibility of complex diseases such as chronic kidney disease remains challenging. Here, we used inbred rat models of kidney damage associated with elevated blood pressure for the comprehensive analysis of a major albuminur
Externí odkaz:
https://doaj.org/article/3ce65e8761e146108e0f630955c54002
Autor:
Aaron Isaacs, Andrei Barysenka, Rachel M.A. ter Bekke, Apollonia T.J.M. Helderman-van den Enden, Arthur van den Wijngaard, Paul G.A. Volders, Monika Stoll
Publikováno v:
Heart Rhythm. 20(5):720-727
Background: The Worm Study, ascertained from a multigeneration pedigree segregating a single amino acid deletion in SCN5A (c.4850_4852delTCT, p.(Phe1617del), rs749697698), is characterized by substantial phenotypic heterogeneity and overlap of sudden
Autor:
Grace Png, Emmanouil Tsafantakis, Iris Fischer, N. William Rayner, Daniel Suveges, George Dedoussis, Andrei Barysenka, Arthur Gilly, Sonja Neumeyer, Lorraine Southam, Thea Bjørnland, Maria Karaleftheri, Young-Chan Park, Eleftheria Zeggini
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Nature Communications
Nat. Commun. 11:6336 (2020)
Nature Communications
Nat. Commun. 11:6336 (2020)
The human proteome is a crucial intermediate between complex diseases and their genetic and environmental components, and an important source of drug development targets and biomarkers. Here, we comprehensively assess the genetic architecture of 257
Autor:
Grace Png, Raffaele Gerlini, Konstantinos Hatzikotoulas, Andrei Barysenka, N William Rayner, Lucija Klarić, Birgit Rathkolb, Juan A Aguilar-Pimentel, Jan Rozman, Helmut Fuchs, Valerie Gailus-Durner, Emmanouil Tsafantakis, Maria Karaleftheri, George Dedoussis, Claus Pietrzik, James F Wilson, Martin Hrabe de Angelis, Christoph Becker-Pauly, Arthur Gilly, Eleftheria Zeggini
Publikováno v:
Hum. Mol. Genet., DOI: 10.1093/hmg/ddac275 (2022)
Png, G, Gerlini, R, Hatzikotoulas, K, Barysenka, A, Rayner, N W, Klarić, L, Rathkolb, B, Aguilar-Pimentel, J A, Rozman, J, Fuchs, H, Gailus-Durner, V, Tsafantakis, E, Karaleftheri, M, Dedoussis, G, Pietrzik, C, Wilson, J F, Angelis, M H, Becker-Pauly, C, Gilly, A & Zeggini, E 2022, ' Identifying causal serum protein-cardiometabolic trait relationships using whole genome sequencing ', Human Molecular Genetics . https://doi.org/10.1093/hmg/ddac275
Png, G, Gerlini, R, Hatzikotoulas, K, Barysenka, A, Rayner, N W, Klarić, L, Rathkolb, B, Aguilar-Pimentel, J A, Rozman, J, Fuchs, H, Gailus-Durner, V, Tsafantakis, E, Karaleftheri, M, Dedoussis, G, Pietrzik, C, Wilson, J F, Angelis, M H, Becker-Pauly, C, Gilly, A & Zeggini, E 2022, ' Identifying causal serum protein-cardiometabolic trait relationships using whole genome sequencing ', Human Molecular Genetics . https://doi.org/10.1093/hmg/ddac275
Cardiometabolic diseases, such as type 2 diabetes and cardiovascular disease, have a high public health burden. Understanding the genetically determined regulation of proteins that are dysregulated in disease can help to dissect the complex biology u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2f316b3891f3dbb04c249127652ce7a
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=66664
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=66664
Autor:
Xia Shen, Eleftheria Zeggini, Eleanor Wheeler, Maik Pietzner, Andrei Barysenka, James F. Wilson, Nicholas J. Wareham, Anders Mälarstig, George Dedoussis, Linda Repetto, Maria Karaleftheri, Pau Navarro, Emmanouil Tsafantakis, Grace Png, Claudia Langenberg, Arthur Gilly
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Png, G, Barysenka, A, Repetto, L, Navarro, P, Shen, X, Pietzner, M, Wheeler, E, Wareham, N J, Langenberg, C, Tsafantakis, E, Karaleftheri, M, Dedoussis, G, Mälarstig, A, Wilson, J F, Gilly, A & Zeggini, E 2021, ' Mapping the serum proteome to neurological diseases using whole genome sequencing ', Nature Communications, vol. 12, no. 1, pp. 7042 . https://doi.org/10.1038/s41467-021-27387-1
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Png, G, Barysenka, A, Repetto, L, Navarro, P, Shen, X, Pietzner, M, Wheeler, E, Wareham, N J, Langenberg, C, Tsafantakis, E, Karaleftheri, M, Dedoussis, G, Mälarstig, A, Wilson, J F, Gilly, A & Zeggini, E 2021, ' Mapping the serum proteome to neurological diseases using whole genome sequencing ', Nature Communications, vol. 12, no. 1, pp. 7042 . https://doi.org/10.1038/s41467-021-27387-1
Despite the increasing global burden of neurological disorders, there is a lack of effective diagnostic and therapeutic biomarkers. Proteins are often dysregulated in disease and have a strong genetic component. Here, we carry out a protein quantitat
Autor:
Cindy G. Boer, Konstantinos Hatzikotoulas, Lorraine Southam, Lilja Stefánsdóttir, Yanfei Zhang, Rodrigo Coutinho de Almeida, Tian T. Wu, Jie Zheng, April Hartley, Maris Teder-Laving, Anne Heidi Skogholt, Chikashi Terao, Eleni Zengini, George Alexiadis, Andrei Barysenka, Gyda Bjornsdottir, Maiken E. Gabrielsen, Arthur Gilly, Thorvaldur Ingvarsson, Marianne B. Johnsen, Helgi Jonsson, Margreet Kloppenburg, Almut Luetge, Sigrun H. Lund, Reedik Mägi, Massimo Mangino, Rob R.G.H.H. Nelissen, Manu Shivakumar, Julia Steinberg, Hiroshi Takuwa, Laurent F. Thomas, Margo Tuerlings, George C. Babis, Jason Pui Yin Cheung, Jae Hee Kang, Peter Kraft, Steven A. Lietman, Dino Samartzis, P. Eline Slagboom, Kari Stefansson, Unnur Thorsteinsdottir, Jonathan H. Tobias, André G. Uitterlinden, Bendik Winsvold, John-Anker Zwart, George Davey Smith, Pak Chung Sham, Gudmar Thorleifsson, Tom R. Gaunt, Andrew P. Morris, Ana M. Valdes, Aspasia Tsezou, Kathryn S.E. Cheah, Shiro Ikegawa, Kristian Hveem, Tõnu Esko, J. Mark Wilkinson, Ingrid Meulenbelt, Ming Ta Michael Lee, Joyce B.J. van Meurs, Unnur Styrkársdóttir, Eleftheria Zeggini, John Loughlin, Nigel Arden, Fraser Birrell, Andrew Carr, Panos Deloukas, Michael Doherty, Andrew W. McCaskie, William E.R. Ollier, Ashok Rai, Stuart H. Ralston, Tim D. Spector, Gillian A. Wallis, Amy E. Martinsen, Cristen Willer, Egil Andreas Fors, Ingunn Mundal, Knut Hagen, Kristian Bernhard Nilsen, Marie Udnesseter Lie, Sigrid Børte, Ben Brumpton, Jonas Bille Nielsen, Lars G. Fritsche, Wei Zhou, Ingrid Heuch, Kjersti Storheim, Evangelos Tyrpenou, Athanasios Koukakis, Dimitrios Chytas, Dimitrios Stergios Evangelopoulos, Chronopoulos Efstathios, Spiros Pneumaticos, Vasileios S. Nikolaou, Konstantinos Malizos, Lydia Anastasopoulou, Goncalo Abecasis, Aris Baras, Michael Cantor, Giovanni Coppola, Andrew Deubler, Aris Economides, Luca A. Lotta, John D. Overton, Jeffrey G. Reid, Alan Shuldiner, Katia Karalis, Katherine Siminovitch, Christina Beechert, Caitlin Forsythe, Erin D. Fuller, Zhenhua Gu, Michael Lattari, Alexander Lopez, Thomas D. Schleicher, Maria Sotiropoulos Padilla, Louis Widom, Sarah E. Wolf, Manasi Pradhan, Kia Manoochehri, Xiaodong Bai, Suganthi Balasubramanian, Boris Boutkov, Gisu Eom, Lukas Habegger, Alicia Hawes, Olga Krasheninina, Rouel Lanche, Adam J. Mansfield, Evan K. Maxwell, Mona Nafde, Sean O’Keeffe, Max Orelus, Razvan Panea, Tommy Polanco, Ayesha Rasool, William Salerno, Jeffrey C. Staples, Dadong Li, Deepika Sharma, Ilanjana Banerjee, Jonas Bovijn, Adam Locke, Niek Verweij, Mary Haas, George Hindy, Tanima De, Parsa Akbari, Olukayode Sosina, Manuel A.R. Ferreira, Marcus B. Jones, Jason Mighty, Michelle G. LeBlanc, Lyndon J. Mitnaul
Publikováno v:
Cell
Cell 184, 4784-4818.e17 (2021)
Cell, 184(18), 4784-4818. CELL PRESS
Cell, 184(18), 4784-4818.e17. Cell Press
Boer, C G, Hatzikotoulas, K, Southam, L, Stefansdottir, L, Zhang, Y, Coutinho de Almeida, R, wu, T T, Zhang, J, Hartley, A E, Teder-Laving, M, Skogholt, A H, Terao, C, Zengini, E, Alexiadis, G, Barysenka, A, Bjornsdottir, G, Gabrielsen, M, Gilly, A, Ingvarsson, T, Johnsen, M B, Jonsson, H, Kloppenburg, M, Luetge, A, Lund, S H, Mägi, R, Mangino, M, Nelissen, R, Shivakumar, M, Steinberg, J, Takuwa, H, Thomas, L, Tuerlings, M, Babis, G C, Pui Yin Cheung, J, Kang, J H, Kraft, P, Lietman, S A, Samartzis, D, Slagboom, E, Stefansson, K, Thorsteinsdottir, U, Tobias, J H, Uitterlinden, A G, Winsvold, B S, Zwart, J-A, Davey Smith, G, Sham, P C, Thorleifsson, G, Gaunt, T R, Morris, A, Valdes, A M, Tsezou, A, S.E. Cheah, K, Ikegawa, S, Hveem, K, Esko, T, Wilkinson, J M, Meulenbelt, I, Ta Michael Lee, M, van Meurs, J B J, Styrkarsdottir, U & Zeggini, E 2021, ' Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations ', Cell, vol. 184, no. 18, pp. 4784-4818.e17 . https://doi.org/10.1016/j.cell.2021.07.038
Cell 184, 4784-4818.e17 (2021)
Cell, 184(18), 4784-4818. CELL PRESS
Cell, 184(18), 4784-4818.e17. Cell Press
Boer, C G, Hatzikotoulas, K, Southam, L, Stefansdottir, L, Zhang, Y, Coutinho de Almeida, R, wu, T T, Zhang, J, Hartley, A E, Teder-Laving, M, Skogholt, A H, Terao, C, Zengini, E, Alexiadis, G, Barysenka, A, Bjornsdottir, G, Gabrielsen, M, Gilly, A, Ingvarsson, T, Johnsen, M B, Jonsson, H, Kloppenburg, M, Luetge, A, Lund, S H, Mägi, R, Mangino, M, Nelissen, R, Shivakumar, M, Steinberg, J, Takuwa, H, Thomas, L, Tuerlings, M, Babis, G C, Pui Yin Cheung, J, Kang, J H, Kraft, P, Lietman, S A, Samartzis, D, Slagboom, E, Stefansson, K, Thorsteinsdottir, U, Tobias, J H, Uitterlinden, A G, Winsvold, B S, Zwart, J-A, Davey Smith, G, Sham, P C, Thorleifsson, G, Gaunt, T R, Morris, A, Valdes, A M, Tsezou, A, S.E. Cheah, K, Ikegawa, S, Hveem, K, Esko, T, Wilkinson, J M, Meulenbelt, I, Ta Michael Lee, M, van Meurs, J B J, Styrkarsdottir, U & Zeggini, E 2021, ' Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations ', Cell, vol. 184, no. 18, pp. 4784-4818.e17 . https://doi.org/10.1016/j.cell.2021.07.038
Summary Osteoarthritis affects over 300 million people worldwide. Here, we conduct a genome-wide association study meta-analysis across 826,690 individuals (177,517 with osteoarthritis) and identify 100 independently associated risk variants across 1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2107ed7b2af740104437a8ef894bb702
http://hdl.handle.net/10852/89014
http://hdl.handle.net/10852/89014