Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Dajiang. J. Liu"'
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:
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
Publikováno v:
PLoS ONE, Vol 14, Iss 12, p e0226821 (2019)
The homeostatic iron regulator protein HFE is involved in regulation of iron acquisition for cells. The prevalence of two common HFE gene variants (H63D, C282Y) has been studied in many cancer types; however, the impact of HFE variants, sex and HFE g
Externí odkaz:
https://doaj.org/article/03bb4febe5094600bfdb02f21fd01a7c
Autor:
Yu Jiang, Sai Chen, Xingyan Wang, Mengzhen Liu, William G. Iacono, John K. Hewitt, John E. Hokanson, Kenneth Krauter, Markku Laakso, Kevin W. Li, Sharon M. Lutz, Matthew McGue, Anita Pandit, Gregory J.M. Zajac, Michael Boehnke, Goncalo R. Abecasis, Scott I. Vrieze, Bibo Jiang, Xiaowei Zhan, Dajiang J. Liu
Publikováno v:
Genes, Vol 11, Iss 5, p 586 (2020)
There is great interest in understanding the impact of rare variants in human diseases using large sequence datasets. In deep sequence datasets of >10,000 samples, ~10% of the variant sites are observed to be multi-allelic. Many of the multi-allelic
Externí odkaz:
https://doaj.org/article/cd3c5536a33546c59b03f46c43abab9a
Autor:
Yu Jiang, Sai Chen, Daniel McGuire, Fang Chen, Mengzhen Liu, William G Iacono, John K Hewitt, John E Hokanson, Kenneth Krauter, Markku Laakso, Kevin W Li, Sharon M Lutz, Matthew McGue, Anita Pandit, Gregory J M Zajac, Michael Boehnke, Goncalo R Abecasis, Scott I Vrieze, Xiaowei Zhan, Bibo Jiang, Dajiang J Liu
Publikováno v:
PLoS Genetics, Vol 14, Iss 7, p e1007452 (2018)
Meta-analysis of genetic association studies increases sample size and the power for mapping complex traits. Existing methods are mostly developed for datasets without missing values, i.e. the summary association statistics are measured for all varia
Externí odkaz:
https://doaj.org/article/762a0578df2243d88a5dccac238c0585
Autor:
Sang Y Lee, Junjia Zhu, Anna C Salzberg, Bo Zhang, Dajiang J Liu, Joshua E Muscat, Sara T Langan, James R Connor
Publikováno v:
PLoS ONE, Vol 12, Iss 3, p e0174778 (2017)
Human hemochromatosis protein (HFE) is involved in iron metabolism. Two major HFE polymorphisms, H63D and C282Y, have been associated with an increased risk of cancers. Previously, we reported decreased gender effects in overall survival based on H63
Externí odkaz:
https://doaj.org/article/7ece441f657241b2ae2833a6b7a9a391
Autor:
Dajiang J Liu, Suzanne M Leal
Publikováno v:
PLoS Genetics, Vol 8, Iss 11, p e1003075 (2012)
Next-generation sequencing has made possible the detection of rare variant (RV) associations with quantitative traits (QT). Due to high sequencing cost, many studies can only sequence a modest number of selected samples with extreme QT. Therefore ass
Externí odkaz:
https://doaj.org/article/1331a04f68264df983ccf1969aa9a912