Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Buu Truong"'
Autor:
Samuel S. Kim, Buu Truong, Karthik Jagadeesh, Kushal K. Dey, Amber Z. Shen, Soumya Raychaudhuri, Manolis Kellis, Alkes L. Price
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Prioritizing disease-critical cell types by integrating genome-wide association studies (GWAS) with functional data is a fundamental goal. Single-cell chromatin accessibility (scATAC-seq) and gene expression (scRNA-seq) have characterized ce
Externí odkaz:
https://doaj.org/article/85297281a64c4afc81f239e94e41ce07
Autor:
Roger S. Zou, Yunfeng Ruan, Buu Truong, Romit Bhattacharya, Michael T. Lu, Júlia Karády, Rachel Bernardo, Phoebe Finneran, Whitney Hornsby, Kathleen V. Fitch, Heather J. Ribaudo, Markella V. Zanni, Pamela S. Douglas, Steven K. Grinspoon, Aniruddh P. Patel, Pradeep Natarajan
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 7 (2024)
Background Coronary artery disease (CAD) is a leading cause of death among the 38.4 million people with HIV globally. The extent to which cardiovascular polygenic risk scores (PRSs) derived in non‐HIV populations generalize to people with HIV is no
Externí odkaz:
https://doaj.org/article/200a06191987494c84dd36d0b1483018
Autor:
Sarah M. Urbut, Satoshi Koyama, Whitney Hornsby, Rohan Bhukar, Sumeet Kheterpal, Buu Truong, Margaret S. Selvaraj, Benjamin Neale, Christopher J. O’Donnell, Gina M. Peloso, Pradeep Natarajan
Publikováno v:
iScience, Vol 26, Iss 10, Pp 107854- (2023)
Summary: While lipid traits are known essential mediators of cardiovascular disease, few approaches have taken advantage of their shared genetic effects. We apply a Bayesian multivariate size estimator, mash, to GWAS of four lipid traits in the Milli
Externí odkaz:
https://doaj.org/article/99a66d8bd2d641c4868aafb2a30f5d8f
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Cross-ancestry genetic correlation can reveal differences in the genetic basis of traits between populations, but methods can be biased by ancestry-specific genetic architecture. Here, the authors present a method to for estimating cross-ancestry gen
Externí odkaz:
https://doaj.org/article/bae8527bb09b4a59b66c91fd07e358de
Autor:
Mehdi Neshat, Soohyun Lee, Md. Moksedul Momin, Buu Truong, Julius H. J. van der Werf, S. Hong Lee
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
The H-matrix best linear unbiased prediction (HBLUP) method has been widely used in livestock breeding programs. It can integrate all information, including pedigree, genotypes, and phenotypes on both genotyped and non-genotyped individuals into one
Externí odkaz:
https://doaj.org/article/a07001028ab04c3bad6bd2acb1b72ada
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-22 (2021)
Abstract Background Accurate prognosis and identification of cancer subtypes at molecular level are important steps towards effective and personalised treatments of breast cancer. To this end, many computational methods have been developed to use gen
Externí odkaz:
https://doaj.org/article/92f847631e944eccbcd1b9387da12531
Autor:
Buu Truong, Xuan Zhou, Jisu Shin, Jiuyong Li, Julius H. J. van der Werf, Thuc D. Le, S. Hong Lee
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Genetic data from large cohorts of unrelated individuals can be used to create polygenic risk scores, which could be used to predict individual risk of developing a specific disease. Here the authors show that smaller cohorts of related individuals c
Externí odkaz:
https://doaj.org/article/08755dc1466a43b28f5affeeb522ac79
Autor:
Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Truong, Jiuyong Li, Nini Rao, Thuc Duy Le
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S23, Pp 1-11 (2019)
Abstract Background Studying multiple microRNAs (miRNAs) synergism in gene regulation could help to understand the regulatory mechanisms of complicated human diseases caused by miRNAs. Several existing methods have been presented to infer miRNA syner
Externí odkaz:
https://doaj.org/article/0a8851610f17436ba502d4f93765402d
Autor:
Vu VH Pham, Junpeng Zhang, Lin Liu, Buu Truong, Taosheng Xu, Trung T. Nguyen, Jiuyong Li, Thuc D. Le
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-12 (2019)
Abstract Background microRNAs (miRNAs) regulate gene expression at the post-transcriptional level and they play an important role in various biological processes in the human body. Therefore, identifying their regulation mechanisms is essential for t
Externí odkaz:
https://doaj.org/article/2fc3972f5a6c4ca6a44d756f6b95a773
Autor:
Junpeng Zhang, Vu Viet Hoang Pham, Lin Liu, Taosheng Xu, Buu Truong, Jiuyong Li, Nini Rao, Thuc Duy Le
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-2 (2020)
After publication of this supplement article [1], it was brought to our attention that the Fig. 3 was incorrect. The correct Fig. 3 is as below:
Externí odkaz:
https://doaj.org/article/c1a04b94a69a4bbf9311a8e2eea92a11