Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Leland, Taylor"'
Autor:
Anurag Sethi, D. Leland Taylor, J. Graham Ruby, Jagadish Venkataraman, Elena Sorokin, Madeleine Cule, Eugene Melamud
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
Calcification of large arteries is a high-risk factor in the development of cardiovascular diseases, however, due to the lack of routine monitoring, the pathology remains severely under-diagnosed and prevalence in the general population is not known.
Externí odkaz:
https://doaj.org/article/b481bd6f101647a5a7c07147df92895a
Autor:
Luli S. Zou, Michael R. Erdos, D. Leland Taylor, Peter S. Chines, Arushi Varshney, The McDonnell Genome Institute, Stephen C. J. Parker, Francis S. Collins, John P. Didion
Publikováno v:
BMC Genomics, Vol 19, Iss 1, Pp 1-15 (2018)
Abstract Background Bisulfite sequencing is widely employed to study the role of DNA methylation in disease; however, the data suffer from biases due to coverage depth variability. Imputation of methylation values at low-coverage sites may mitigate t
Externí odkaz:
https://doaj.org/article/ca98178c6bb4404ca884764b5ac2aaff
Autor:
Bradley Leland Taylor
Publikováno v:
Museum & Society, Vol 15, Iss 3, Pp 363-366 (2018)
Exhibition review of House Industries: A Type of Learning, Henry Ford Museum of American Innovation, Dearborn, Michigan, United States, 27.05.2017 - 04.09.2017
Externí odkaz:
https://doaj.org/article/2f641c25abbc45ff8329af4fe7b5d311
Autor:
Henry J. Taylor, Yu-Han Hung, Narisu Narisu, Michael R. Erdos, Matthew Kanke, Tingfen Yan, Caleb M. Grenko, Amy J. Swift, Lori L. Bonnycastle, Praveen Sethupathy, Francis S. Collins, D. Leland Taylor
Genetic studies have identified ≥240 loci associated with the risk of type 2 diabetes (T2D), yet most of these loci lie in non-coding regions, masking the underlying molecular mechanisms. Recent studies investigating mRNA expression in human pancre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7b317a3eea94f5fe53dc7115974eab1
Autor:
Laura J. Scott, Michael R. Erdos, Jeroen R. Huyghe, Ryan P. Welch, Andrew T. Beck, Brooke N. Wolford, Peter S. Chines, John P. Didion, Narisu Narisu, Heather M. Stringham, D. Leland Taylor, Anne U. Jackson, Swarooparani Vadlamudi, Lori L. Bonnycastle, Leena Kinnunen, Jouko Saramies, Jouko Sundvall, Ricardo D'Oliveira Albanus, Anna Kiseleva, John Hensley, Gregory E. Crawford, Hui Jiang, Xiaoquan Wen, Richard M. Watanabe, Timo A. Lakka, Karen L. Mohlke, Markku Laakso, Jaakko Tuomilehto, Heikki A. Koistinen, Michael Boehnke, Francis S. Collins, Stephen C. J. Parker
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-12 (2016)
More than 90% of genetic variants associated with type 2 diabetes occur in non-coding regions. Scott et al. report genomes, epigenomes and transcriptomes of skeletal muscle from 271 participants with a range of glucose tolerances, revealing a genetic
Externí odkaz:
https://doaj.org/article/05b203e73f38446db6c6345b6a617738
Autor:
D Leland Taylor, David A Knowles, Laura J Scott, Andrea H Ramirez, Francesco Paolo Casale, Brooke N Wolford, Li Guan, Arushi Varshney, Ricardo D'Oliveira Albanus, Stephen C J Parker, Narisu Narisu, Peter S Chines, Michael R Erdos, Ryan P Welch, Leena Kinnunen, Jouko Saramies, Jouko Sundvall, Timo A Lakka, Markku Laakso, Jaakko Tuomilehto, Heikki A Koistinen, Oliver Stegle, Michael Boehnke, Ewan Birney, Francis S Collins
Publikováno v:
PLoS ONE, Vol 13, Iss 4, p e0195788 (2018)
From whole organisms to individual cells, responses to environmental conditions are influenced by genetic makeup, where the effect of genetic variation on a trait depends on the environmental context. RNA-sequencing quantifies gene expression as a mo
Externí odkaz:
https://doaj.org/article/0de5691bc69c48a5a92bbc0b581ecb65
Autor:
Madeleine Cule, Nick van Bruggen, Eugene Melamud, Garret A. FitzGerald, D. Leland Taylor, Danish Saleheen, Anastasia Baryshnikova, Anurag Sethi
Publikováno v:
J Clin Invest
Technological advances in rapid data acquisition have transformed medical biology into a data mining field, where new data sets are routinely dissected and analyzed by statistical models of ever-increasing complexity. Many hypotheses can be generated
Autor:
Anurag Sethi, Eugene Melamud, Jagadish Venkataraman, Madeleine Cule, Elena P. Sorokin, J Graham Ruby, Leland Taylor
BackgroundCalcification of the abdominal artery is an important contributor to cardiovascular disease in diabetic and chronic kidney disease (CKD) populations. However, prevalence of the pathology, risk factors, and long term disease outcomes in a ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36d3534b7f218a64c5bf32ca6b9bc0fd
https://doi.org/10.1101/2020.05.07.20094706
https://doi.org/10.1101/2020.05.07.20094706
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Autor:
Gibran Hemani, Timo A. Lakka, Jaakko Tuomilehto, Ryan P. Welch, John P. Didion, Amy J. Swift, Markku Laakso, Michael R. Erdos, Laura J. Scott, Narisu Narisu, George Davey Smith, Francis S. Collins, Ewan Birney, Jackie Idol, Leena Kinnunen, Michael Boehnke, D. Leland Taylor, Jouko Saramies, Anne U. Jackson, Peter S. Chines, Stephen C. J. Parker, Heikki A. Koistinen
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Taylor, D L, Jackson, A U, Narisu, N, Hemani, G, Erdos, M R, Chines, P S, Swift, A, Idol, J, Didion, J P, Welch, R P, Kinnunen, L, Saramies, J, Lakka, T A, Laakso, M, Tuomilehto, J, Parker, S C J, Koistinen, H A, Davey Smith, G, Boehnke, M, Scott, L J, Birney, E & Collins, F S 2019, ' Integrative analysis of gene expression, DNA methylation, physiological traits, and genetic variation in human skeletal muscle ', Proceedings of the National Academy of Sciences of the United States of America, vol. 116, no. 22, pp. 10883-10888 . https://doi.org/10.1073/pnas.1814263116
Taylor, D L, Jackson, A U, Narisu, N, Hemani, G, Erdos, M R, Chines, P S, Swift, A, Idol, J, Didion, J P, Welch, R P, Kinnunen, L, Saramies, J, Lakka, T A, Laakso, M, Tuomilehto, J, Parker, S C J, Koistinen, H A, Davey Smith, G, Boehnke, M, Scott, L J, Birney, E & Collins, F S 2019, ' Integrative analysis of gene expression, DNA methylation, physiological traits, and genetic variation in human skeletal muscle ', Proceedings of the National Academy of Sciences of the United States of America, vol. 116, no. 22, pp. 10883-10888 . https://doi.org/10.1073/pnas.1814263116
Significance Identifying causal relationships within a web of human genotype–phenotype correlations is a substantial challenge. Using the largest genetic study to date of comeasured expression and DNA methylation (DNAme) in skeletal muscle, we iden