Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Dajiang. J. Liu"'
Autor:
Daniel McGuire, Havell Markus, Lina Yang, Jingyu Xu, Austin Montgomery, Arthur Berg, Qunhua Li, Laura Carrel, Dajiang J. Liu, Bibo Jiang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Large national-level electronic health record (EHR) datasets offer new opportunities for disentangling the role of genes and environment through deep phenotype information and approximate pedigree structures. Here we use the approximate geog
Externí odkaz:
https://doaj.org/article/5f8ed87bcbd74723b6497aa8eb0545e4
Autor:
Lida Wang, Chachrit Khunsriraksakul, Havell Markus, Dieyi Chen, Fan Zhang, Fang Chen, Xiaowei Zhan, Laura Carrel, Dajiang. J. Liu, Bibo Jiang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Transcriptome-wide association study (TWAS) is a popular approach to dissect the functional consequence of disease associated non-coding variants. Most existing TWAS use bulk tissues and may not have the resolution to reveal cell-type specif
Externí odkaz:
https://doaj.org/article/67437dd5a77c45ce99e21197975f2a6c
Autor:
Xiaoguang Xu, Chachrit Khunsriraksakul, James M. Eales, Sebastien Rubin, David Scannali, Sushant Saluja, David Talavera, Havell Markus, Lida Wang, Maciej Drzal, Akhlaq Maan, Abigail C. Lay, Priscilla R. Prestes, Jeniece Regan, Avantika R. Diwadkar, Matthew Denniff, Grzegorz Rempega, Jakub Ryszawy, Robert Król, John P. Dormer, Monika Szulinska, Marta Walczak, Andrzej Antczak, Pamela R. Matías-García, Melanie Waldenberger, Adrian S. Woolf, Bernard Keavney, Ewa Zukowska-Szczechowska, Wojciech Wystrychowski, Joanna Zywiec, Pawel Bogdanski, A. H. Jan Danser, Nilesh J. Samani, Tomasz J. Guzik, Andrew P. Morris, Dajiang J. Liu, Fadi J. Charchar, Human Kidney Tissue Resource Study Group, Maciej Tomaszewski
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-29 (2024)
Abstract Genetic mechanisms of blood pressure (BP) regulation remain poorly defined. Using kidney-specific epigenomic annotations and 3D genome information we generated and validated gene expression prediction models for the purpose of transcriptome-
Externí odkaz:
https://doaj.org/article/f5e9da19c88d4024b4071ce5130ced06
Autor:
Nicholas L. Hudock, Kyle Mani, Chachrit Khunsriraksakul, Vonn Walter, Larissa Nekhlyudov, Ming Wang, Eric J. Lehrer, Maria R. Hudock, Dajiang J. Liu, Daniel E. Spratt, Nicholas G. Zaorsky
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-7 (2023)
Background Previous studies have demonstrated epidemiological trends in individual metastatic cancer subtypes; however, research forecasting long-term incidence trends and projected survivorship of metastatic cancers is lacking. We assess the burden
Externí odkaz:
https://doaj.org/article/bd427c7aee5245d6b083baabb9134e39
Autor:
Chachrit Khunsriraksakul, Qinmengge Li, Havell Markus, Matthew T. Patrick, Renan Sauteraud, Daniel McGuire, Xingyan Wang, Chen Wang, Lida Wang, Siyuan Chen, Ganesh Shenoy, Bingshan Li, Xue Zhong, Nancy J. Olsen, Laura Carrel, Lam C. Tsoi, Bibo Jiang, Dajiang J. Liu
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
The genetic basis of systemic lupus erythematosus is not completely understood. Here, the authors perform multi-ancestry and multi-trait meta-analyses to identify 16 novel genetic loci and demonstrate the utility of polygenic risk score in clinical r
Externí odkaz:
https://doaj.org/article/967b70f77d724ef59ee7f509410de467
Autor:
Chachrit Khunsriraksakul, Daniel McGuire, Renan Sauteraud, Fang Chen, Lina Yang, Lida Wang, Jordan Hughey, Scott Eckert, J. Dylan Weissenkampen, Ganesh Shenoy, Olivia Marx, Laura Carrel, Bibo Jiang, Dajiang J. Liu
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Transcriptome-wide association studies can be used to test the effects of predicted gene expression in a cohort of individuals based on genetic data. Here, the authors developed a transcriptome-wide association method that integrates 3D genomic and e
Externí odkaz:
https://doaj.org/article/b13248034fb2423195889646801524bf
Autor:
Chachrit Khunsriraksakul, Havell Markus, Nancy J. Olsen, Laura Carrel, Bibo Jiang, Dajiang J. Liu
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
Genome-wide association studies (GWAS) have identified hundreds of genetic variants associated with autoimmune diseases and provided unique mechanistic insights and informed novel treatments. These individual genetic variants on their own typically c
Externí odkaz:
https://doaj.org/article/c0ae44938d0b470090f7f81a1c26e622
Autor:
Daniel McGuire, Yu Jiang, Mengzhen Liu, J. Dylan Weissenkampen, Scott Eckert, Lina Yang, Fang Chen, GWAS and Sequencing Consortium of Alcohol and Nicotine Use (GSCAN), Arthur Berg, Scott Vrieze, Bibo Jiang, Qunhua Li, Dajiang J. Liu
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
In genome-wide association meta-analysis, it is often difficult to find an independent dataset of sufficient size to replicate associations. Here, the authors have developed MAMBA to calculate the probability of replicability based on consistency bet
Externí odkaz:
https://doaj.org/article/6c029971d51f400b8a1f25c6554953b1
Autor:
Jiwoong Kim, Shuang Jiang, Yiqing Wang, Guanghua Xiao, Yang Xie, Dajiang J Liu, Qiwei Li, Andrew Koh, Xiaowei Zhan
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 11, Iss 4 (2021)
AbstractIn microbiome research, metagenomic sequencing generates enormous amounts of data. These data are typically classified into taxa for taxonomy analysis, or into genes for functional analysis. However, a joint analysis where the reads are class
Externí odkaz:
https://doaj.org/article/d0b4da072afb475997dbb20c69da2eb8
Autor:
Fang Chen, Xingyan Wang, Seon-Kyeong Jang, Bryan C. Quach, J. Dylan Weissenkampen, Chachrit Khunsriraksakul, Lina Yang, Renan Sauteraud, Christine M. Albert, Nicholette D. D. Allred, Donna K. Arnett, Allison E. Ashley-Koch, Kathleen C. Barnes, R. Graham Barr, Diane M. Becker, Lawrence F. Bielak, Joshua C. Bis, John Blangero, Meher Preethi Boorgula, Daniel I. Chasman, Sameer Chavan, Yii-Der I. Chen, Lee-Ming Chuang, Adolfo Correa, Joanne E. Curran, Sean P. David, Lisa de las Fuentes, Ranjan Deka, Ravindranath Duggirala, Jessica D. Faul, Melanie E. Garrett, Sina A. Gharib, Xiuqing Guo, Michael E. Hall, Nicola L. Hawley, Jiang He, Brian D. Hobbs, John E. Hokanson, Chao A. Hsiung, Shih-Jen Hwang, Thomas M. Hyde, Marguerite R. Irvin, Andrew E. Jaffe, Eric O. Johnson, Robert Kaplan, Sharon L. R. Kardia, Joel D. Kaufman, Tanika N. Kelly, Joel E. Kleinman, Charles Kooperberg, I-Te Lee, Daniel Levy, Sharon M. Lutz, Ani W. Manichaikul, Lisa W. Martin, Olivia Marx, Stephen T. McGarvey, Ryan L. Minster, Matthew Moll, Karine A. Moussa, Take Naseri, Kari E. North, Elizabeth C. Oelsner, Juan M. Peralta, Patricia A. Peyser, Bruce M. Psaty, Nicholas Rafaels, Laura M. Raffield, Muagututi’a Sefuiva Reupena, Stephen S. Rich, Jerome I. Rotter, David A. Schwartz, Aladdin H. Shadyab, Wayne H-H. Sheu, Mario Sims, Jennifer A. Smith, Xiao Sun, Kent D. Taylor, Marilyn J. Telen, Harold Watson, Daniel E. Weeks, David R. Weir, Lisa R. Yanek, Kendra A. Young, Kristin L. Young, Wei Zhao, Dana B. Hancock, Bibo Jiang, Scott Vrieze, Dajiang J. Liu
Publikováno v:
Nature genetics, vol 55, iss 2
Most transcriptome-wide association studies (TWASs) so far focus on European ancestry and lack diversity. To overcome this limitation, we aggregated genome-wide association study (GWAS) summary statistics, whole-genome sequences and expression quanti