Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Eric B. Fauman"'
Autor:
Eric B. Fauman, Craig Hyde
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-11 (2022)
Abstract Background A genome-wide association study (GWAS) correlates variation in the genotype with variation in the phenotype across a cohort, but the causal gene mediating that impact is often unclear. When the phenotype is protein abundance, a re
Externí odkaz:
https://doaj.org/article/d5e248c176ab4b749b3555cd3b483d36
Autor:
Xianyong Yin, Lap Sum Chan, Debraj Bose, Anne U. Jackson, Peter VandeHaar, Adam E. Locke, Christian Fuchsberger, Heather M. Stringham, Ryan Welch, Ketian Yu, Lilian Fernandes Silva, Susan K. Service, Daiwei Zhang, Emily C. Hector, Erica Young, Liron Ganel, Indraniel Das, Haley Abel, Michael R. Erdos, Lori L. Bonnycastle, Johanna Kuusisto, Nathan O. Stitziel, Ira M. Hall, Gregory R. Wagner, FinnGen, Jian Kang, Jean Morrison, Charles F. Burant, Francis S. Collins, Samuli Ripatti, Aarno Palotie, Nelson B. Freimer, Karen L. Mohlke, Laura J. Scott, Xiaoquan Wen, Eric B. Fauman, Markku Laakso, Michael Boehnke
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
The Finnish population is enriched for genetic variants which are rare in other populations. Here, the authors find new genetic loci associated with 1391 circulating metabolites in 6136 Finnish men, demonstrating that metabolite genetic associations
Externí odkaz:
https://doaj.org/article/2bfc641ed38244daa7d87b37ef3b16fc
Autor:
Eric L. Harshfield, Eric B. Fauman, David Stacey, Dirk S. Paul, Daniel Ziemek, Rachel M. Y. Ong, John Danesh, Adam S. Butterworth, Asif Rasheed, Taniya Sattar, Zameer-ul-Asar, Imran Saleem, Zoubia Hina, Unzila Ishtiaq, Nadeem Qamar, Nadeem Hayat Mallick, Zia Yaqub, Tahir Saghir, Syed Nadeem Hasan Rizvi, Anis Memon, Mohammad Ishaq, Syed Zahed Rasheed, Fazal-ur-Rehman Memon, Anjum Jalal, Shahid Abbas, Philippe Frossard, Danish Saleheen, Angela M. Wood, Julian L. Griffin, Albert Koulman
Publikováno v:
BMC Medicine, Vol 19, Iss 1, Pp 1-17 (2021)
Abstract Background Genetic, lifestyle, and environmental factors can lead to perturbations in circulating lipid levels and increase the risk of cardiovascular and metabolic diseases. However, how changes in individual lipid species contribute to dis
Externí odkaz:
https://doaj.org/article/d3f29a8fe4b0458d906865aeb624d4f1
Publikováno v:
Molecular Psychiatry. 27:3095-3106
Autor:
Maria C. Costanzo, Marcin von Grotthuss, Jeffrey Massung, Dongkeun Jang, Lizz Caulkins, Ryan Koesterer, Clint Gilbert, Ryan P. Welch, Parul Kudtarkar, Quy Hoang, Andrew P. Boughton, Preeti Singh, Ying Sun, Marc Duby, Annie Moriondo, Trang Nguyen, Patrick Smadbeck, Benjamin R. Alexander, MacKenzie Brandes, Mary Carmichael, Peter Dornbos, Todd Green, Kenneth C. Huellas-Bruskiewicz, Yue Ji, Alexandria Kluge, Aoife C. McMahon, Josep M. Mercader, Oliver Ruebenacker, Sebanti Sengupta, Dylan Spalding, Daniel Taliun, Philip Smith, Melissa K. Thomas, Beena Akolkar, M. Julia Brosnan, Andriy Cherkas, Audrey Y. Chu, Eric B. Fauman, Caroline S. Fox, Tania Nayak Kamphaus, Melissa R. Miller, Lynette Nguyen, Afshin Parsa, Dermot F. Reilly, Hartmut Ruetten, David Wholley, Norann A. Zaghloul, Gonçalo R. Abecasis, David Altshuler, Thomas M. Keane, Mark I. McCarthy, Kyle J. Gaulton, Jose C. Florez, Michael Boehnke, Noël P. Burtt, Jason Flannick, Gonçalo Abecasis, Nicholette D. Allred, Jennifer E. Below, Richard Bergman, Joline W.J. Beulens, John Blangero, Krister Bokvist, Erwin Bottinger, Donald Bowden, Christopher Brown, Kenneth Bruskiewicz, Inês Cebola, John Chambers, Yii-Der Ida Chen, Christopher Clark, Melina Claussnitzer, Nancy J. Cox, Marcel den Hoed, Duc Dong, Ravindranath Duggirala, Josée Dupuis, Petra J.M. Elders, Jesse M. Engreitz, Eric Fauman, Jorge Ferrer, Paul Flicek, Matthew Flickinger, Timothy M. Frayling, Kelly A. Frazer, Anna L. Gloyn, Craig L. Hanis, Robert Hanson, Andrew T. Hattersley, Hae Kyung Im, Sidra Iqbal, Suzanne B.R. Jacobs, Dong-Keun Jang, Tad Jordan, Tania Kamphaus, Fredrik Karpe, Seung K. Kim, Kasper Lage, Leslie A. Lange, Mitchell Lazar, Donna Lehman, Ching-Ti Liu, Ruth J.F. Loos, Ronald Ching-wan Ma, Patrick MacDonald, Matthew T. Maurano, Gil McVean, James B. Meigs, Braxton Mitchell, Karen L. Mohlke, Samuel Morabito, Claire Morgan, Shannon Mullican, Sharvari Narendra, Maggie C.Y. Ng, Colin N.A. Palmer, Stephen C.J. Parker, Antonio Parrado, Aaron C. Pawlyk, Ewan R. Pearson, Andrew Plump, Michael Province, Thomas Quertermous, Susan Redline, Bing Ren, Stephen S. Rich, J. Brent Richards, Jerome I. Rotter, Rany M. Salem, Maike Sander, Michael Sanders, Dharambir Sanghera, Laura J. Scott, David Siedzik, Xueling Sim, Robert Sladek, Kerrin Small, Peter Stein, Heather M. Stringham, Katalin Susztak, Leen M. ’t Hart, Kent Taylor, Jennifer A. Todd, Miriam S. Udler, Benjamin Voight, Andre Wan, Kaan Yuksel
Publikováno v:
710.e6
AMP-T2D Consortium 2023, ' The Type 2 Diabetes Knowledge Portal : An open access genetic resource dedicated to type 2 diabetes and related traits ', Cell Metabolism, vol. 35, no. 4, pp. 695-710.e6 . https://doi.org/10.1016/j.cmet.2023.03.001
Cell Metab
Cell metabolism, vol 35, iss 4
Cell Metabolism, 35(4), 695-710.e6. Cell Press
AMP-T2D Consortium 2023, ' The Type 2 Diabetes Knowledge Portal : An open access genetic resource dedicated to type 2 diabetes and related traits ', Cell Metabolism, vol. 35, no. 4, pp. 695-710.e6 . https://doi.org/10.1016/j.cmet.2023.03.001
Cell Metab
Cell metabolism, vol 35, iss 4
Cell Metabolism, 35(4), 695-710.e6. Cell Press
Associations between human genetic variation and clinical phenotypes have become a foundation of biomedical research. Most repositories of these data seek to be disease-agnostic and therefore lack disease-focused views. The Type 2 Diabetes Knowledge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04094df70ceb068c99b961c7447fbab0
http://hdl.handle.net/10044/1/104941
http://hdl.handle.net/10044/1/104941
Autor:
Eric B Fauman, Stella Keppo, Nicola Cerioli, Rupesh Vyas, Mitja Kurki, Mark Daly, Mary Pat Reeve
MotivationBiobank scale genetic associations results over thousands of traits can be difficult to visualize and navigate.ResultsWe have created LAVAA, a visualization web-application to generate genetic volcano plots for simultaneously considering th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b407f10378f790ebdbc403343f0b3bfe
https://aaltodoc.aalto.fi/handle/123456789/119892
https://aaltodoc.aalto.fi/handle/123456789/119892
Autor:
Jason Flannick, Noël P. Burtt, John F. Morris, Nicholas A. Vulpescu, Siyuan Chen, Meganq Hogan, Christian Benner, Brent Richards, Lai Jiang, Quy Hoang, Matthew T. Maurano, Mark I. McCarthy, Vincenzo Forgetta, Dongkeun Jang, Eric B. Fauman, Stepan Grinek, Celia M. T. Greenwood
Publikováno v:
Human Genetics. 141:1431-1447
Drug development and biological discovery require effective strategies to map existing genetic associations to causal genes. To approach this problem, we selected 12 common diseases and quantitative traits for which highly powered genome-wide associa
Autor:
Andrew Hercules, Daniel Wright, Annalisa Buniello, Eliseo Papa, Maya Ghoussaini, Jeffrey C. Barrett, Alfredo Miranda, Eric B. Fauman, Edward Mountjoy, Mohd Anisul Karim, David Ochoa, Ian Dunham, Ellen M. Schmidt, Jeremy Schwartzentruber, John A. Todd, James D. Hayhurst, Miguel Carmona, Gareth Peat, Luca Fumis
Publikováno v:
Nature Genetics. 53:1527-1533
Genome-wide association studies (GWASs) have identified many variants associated with complex traits, but identifying the causal gene(s) is a major challenge. In the present study, we present an open resource that provides systematic fine mapping and
In a standard analysis, pleiotropic variants are identified by running separate genome-wide association studies (GWAS) and combining results across traits. But such two-stage statistical approach may lead to spurious results. We propose a new statist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6be6116a031a04d3b6ec7f6ad909062
https://doi.org/10.1101/2022.11.10.515671
https://doi.org/10.1101/2022.11.10.515671
Autor:
Xianyong Yin, Debraj Bose, Annie Kwon, Sarah C. Hanks, Anne U. Jackson, Heather M. Stringham, Ryan Welch, Anniina Oravilahti, Lilian Fernandes Silva, Adam E. Locke, Christian Fuchsberger, Susan K. Service, Michael R. Erdos, Lori L. Bonnycastle, Johanna Kuusisto, Nathan O. Stitziel, Ira M. Hall, Jean Morrison, Samuli Ripatti, Aarno Palotie, Nelson B. Freimer, Francis S. Collins, Karen L. Mohlke, Laura J. Scott, Eric B. Fauman, Charles Burant, Michael Boehnke, Markku Laakso, Xiaoquan Wen
Transcriptomics data have been integrated with genome-wide association studies (GWASs) to help understand disease/trait molecular mechanisms. The utility of metabolomics, integrated with transcriptomics and disease GWASs, to understand molecular mech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef9ca8625efd4bbe6c51eabcf6b9b359
http://hdl.handle.net/10138/351349
http://hdl.handle.net/10138/351349