Results 41 to 50 of about 41,400 (238)

Genetic Influences on Brain Gene Expression in Rats Selected for Tameness and Aggression

, 2014
Inter-individual differences in many behaviors are partly due to genetic differences, but the identification of the genes and variants that influence behavior remains challenging.
Alexander Cagan, Belyaev, Darvasi, Enrico Petretto, Frank W. Albert, François Besnier, Henrike O. Heyne, Irina Z. Plyusnina, Leonid Kruglyak, Lyudmila Trut, Maxime Rotival, Rimma Kozhemyakina, Ronald Nelson, Susann Lautenschläger, Svante Pääbo, Torsten Schöneberg, Örjan Carlborg   +16 more
core   +1 more source

A geometric interpretation of the permutation $p$-value and its application in eQTL studies [PDF]

, 2010
Permutation $p$-values have been widely used to assess the significance of linkage or association in genetic studies. However, the application in large-scale studies is hindered by a heavy computational burden.
Sun, Wei, Wright, Fred A.
core   +3 more sources

Construction of a Multitissue Cell Atlas Reveals Cell‐Type‐Specific Regulation of Molecular and Complex Phenotypes in Pigs

Advanced Science, EarlyView.
This research conducts an in‐depth investigation of cell‐type‐specific regulatory mechanisms underlying molecular and complex phenotypes through integrative analysis of multitissue single‐nucleus RNA sequencing, bulk RNA‐seq, and genome‐wide association study (GWAS) data in pigs.
Lijuan Chen, Houcheng Li, Jinyan Teng, Zhen Wang, Xiaolu Qu, Zhe Chen, Xiaodian Cai, Haonan Zeng, Zhonghao Bai, Jinghui Li, Xiangchun Pan, Leyan Yan, Fei Wang, Lin Lin, Yonglun Luo, Goutam Sahana, Mogens Sandø Lund, Maria Ballester, Daniel Crespo‐Piazuelo, Peter Karlskov‐Mortensen, Merete Fredholm, Alex Clop, Marcel Amills, Crystal Loving, Christopher K. Tuggle, Ole Madsen, Jiaqi Li, Zhe Zhang, George E. Liu, Jicai Jiang, Lingzhao Fang, Guoqiang Yi   +31 more
wiley   +1 more source

Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants. [PDF]

, 2020
The Genotype-Tissue Expression (GTEx) resource has provided insights into the regulatory impact of genetic variation on gene expression across human tissues; however, thus far has not considered how variation acts at the resolution of the different cell ...
D'Antonio, Matteo, D'Antonio-Chronowska, Agnieszka, Donovan, Margaret KR, Frazer, Kelly A   +3 more
core  

Integration of disease-specific single nucleotide polymorphisms, expression quantitative trait loci and coexpression networks reveal novel candidate genes for type 2 diabetes. [PDF]

, 2012
Aims/hypothesisWhile genome-wide association studies (GWASs) have been successful in identifying novel variants associated with various diseases, it has been much more difficult to determine the biological mechanisms underlying these associations ...
Butte, AJ, Chen, R, Corona, E, Kang, HP, Schadt, EE, Yang, X, Zhang, B   +6 more
core   +2 more sources

Decoding Human Placental Cellular and Molecular Responses to Obesity and Fetal Growth

Advanced Science, EarlyView.
Women with obesity often deliver large‐for‐gestational‐age (LGA) infants. Single‐nucleus RNA sequencing of term placenta reveals that hypoxia and TNF‐α signaling in syncytiotrophoblasts are featured in maternal obesity, but inflammatory signatures in Hofbauer cells and response to lipid or carbohydrate metabolism in fibroblasts are specific to LGA.
Hong Jiang, Emilie Derisoud, Denise Parreira, Nayere Taebnia, Paulo R. Jannig, Reza Zandi Shafagh, Allan Zhao, Congru Li, Macarena Ortiz, Manuel Alejandro Maliqueo, Elisabet Stener‐Victorin, Volker M. Lauschke, Qiaolin Deng   +12 more
wiley   +1 more source

Intra- and inter-individual genetic differences in gene expression [PDF]

, 2008
Genetic variation is known to influence the amount of mRNA produced by a gene. Given that the molecular machines control mRNA levels of multiple genes, we expect genetic variation in the components of these machines would influence multiple genes in a ...
A Ghazalpour, A Reverter, A Subramanian, AJ Butte, BA Taylor, BE Stranger, BH Voy, C Wu, Chris J. Cotsapas, CJ Cotsapas, D Gatti, D Vlieghe, David J. Nott, E Petretto, EJ Chesler, EJ Chesler, EJ Foss, Eva K. F. Chan, G Gibson, G Passador-Gurgel, HH Goring, I Hovatta, I Lönnstedt, J Brumm, JC Gower, Jeremy N. Pulvers, JJ Keurentjes, JJ Nadler, KA Frazer, L Bystrykh, M Bansal, M Mehrabian, M Wirth, MA West, Mark J. Cowley, MC Frith, Michael Y. Liu, MP Keller, MT Pletcher, MV Rockman, N Hubner, NN Batada, Oscar J. Luo, P Blache, Peter F. R. Little, R Ihaka, R Sandberg, RB Brem, RB Williams, RC Gentleman, RM Kuhn, Rohan B. H. Williams, S Biswas, TC Freeman, TM Fruchterman, V Emilsson, X Yang, Y Chen, Y Fukuoka   +58 more
core   +4 more sources

Meta‐GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility

Advanced Science, EarlyView.
This study incorporated 14 210 individuals to perform a GWAS meta‐analysis of six semen quality traits. The GWAS meta‐analysis identifies 234 GWAS loci associated with semen quality traits. The incorporation with a functional genomics resource explains potential genetic regulation of ∼40% GWAS signals underlying semen quality traits.
Qing Lin, Xiaodian Cai, Zhanming Zhong, Tingting Li, Xinyou Chen, Wondossen Ayalew, Zhiting Xu, Chen Wei, Xiaoke Zhang, Hong Cheng, Zhenyang Zhang, Xuehua Li, Yongjie Tang, Siqian Chen, Jun Zhou, Jinglei Si, Xibo Wu, Chao Ning, Qishan Wang, Yuchun Pan, Yahui Gao, Jiaqi Li, Ying Yu, Zhe Zhang, Yunxiang Zhao, Lingzhao Fang, Zhe Zhang   +26 more
wiley   +1 more source

eQTL Networks Reveal Complex Genetic Architecture in the Immature Soybean Seed

The Plant Genome, 2014
The complex network of regulatory factors and interactions involved in transcriptional regulation within the seed is not well understood. To evaluate gene expression regulation in the immature seed, we utilized a genetical genomics approach on a soybean [
Yung-Tsi Bolon, David L. Hyten, James H. Orf, Carroll P. Vance, Gary J. Muehlbauer   +4 more
doaj   +1 more source

Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction

Advanced Science, EarlyView.
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi, Diwakar Mahajan, Hongyang Li, Yuxin Yang, Elif Eyigoz, Aldo Guzmán‐Sáenz, Daniel E. Platt, Timothy H. Rumbell, Kenney Ng, Sanjoy Dey, Myson Burch, Bum Chul Kwon, Pablo Meyer, Feixiong Cheng, Jianying Hu, Joseph A. Morrone   +17 more
wiley   +1 more source