Results 11 to 20 of about 4,523 (159)

Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights [PDF]

Nature Genetics, 2018
Genome-wide association studies (GWAS) have identified over 100 risk loci for schizophrenia, but the causal mechanisms remain largely unknown. We performed a transcriptome-wide association study (TWAS) integrating a schizophrenia GWAS of 79,845 ...
Crawford, Gregory E, Finucane, Hilary K, Geschwind, Daniel H, Gusev, Alexander, Katsanis, Nicholas, Kousi, Maria, Mancuso, Nicholas, McCarroll, Steven, Neale, Benjamin M, O'Donovan, Michael C, Ophoff, Roel A, Pasaniuc, Bogdan, Price, Alkes L, Reshef, Yakir, Safi, Alexias, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Song, Lingyun, Sullivan, Patrick F, Won, Hyejung   +18 more
core   +7 more sources

Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing [PDF]

Nature Genetics, 2023
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 ...
Blangero, John, Cheng, Fang, Curran, Joanne E., Duggirala, Ravindranath, Jang, Seon-Kyeong, Khunsriraksakul, Chachrit, Peralta, Juan M., Quach, Bryan C., Wang, Xingyan, Weissenkampen, J. Dylan, Yang, Lina   +10 more
core   +7 more sources

Genome-Wide Cross-Trait Analysis Dissects the Shared Genetic Architecture Between Type 2 Diabetes Mellitus and Metabolic Dysfunction-Associated Steatotic Liver Disease. [PDF]

Hum Mutat
The observational studies confirmed the high prevalence of metabolic dysfunction–associated steatotic liver disease (MASLD) in patients with Type 2 diabetes mellitus (T2DM), but whether this reflects a shared genetic etiology and exists underlying causal relationships remains unknown. Here, we utilized the largest scale cross‐trait analysis from genome‐
Zhu Z, Li H, Wang X, Chen X, Cheng L.
europepmc   +2 more sources

Genome-Wide Association Study Identifies Candidate Genes for Body Size Traits in Wanyue Black Pigs [PDF]

Animals
This study aimed to elucidate the genetic basis of body-size-related traits in Wanyue Black pigs, including body length, chest circumference, forearm circumference, and hip circumference. Phenotypic data were collected from 139 four-month-old female pigs,
Haibo Ye, Wei Li, Fang Tian, Qianqian Wang, Zhonghua Ma, Jinyu Guan, Yueyun Ding, Xianrui Zheng, Zongjun Yin, Xiaodong Zhang   +9 more
doaj   +2 more sources

Genome- and Transcriptome-Wide Association Studies Identify Susceptibility Genes and Pathways for Periodontitis

Cells, 2022
Several genes associated with periodontitis have been identified through genome-wide association studies (GWAS); however, known genes only explain a minority of the estimated heritability.
Guirong Zhu, Xing Cui, Liwen Fan, Yongchu Pan, Lin Wang   +4 more
doaj   +1 more source

Transcriptome-wide association study of coronary artery disease identifies novel susceptibility genes. [PDF]

, 2022
The majority of risk loci identified by genome-wide association studies (GWAS) are in non-coding regions, hampering their functional interpretation. Instead, transcriptome-wide association studies (TWAS) identify gene-trait associations, which can be ...
Björkegren, Johan, Chen, Zhifen, Erdmann, Jeanette, Ermel, Raili, Gagneur, Julien, Güldener, Ulrich, Hao, Ke, Kessler, Thorsten, Koplev, Simon, Kovacic, Jason, Li, Ling, Li, Shuangyue, Lusis, Aldons, Ma, Angela, Pan, Calvin, Pang, Shichao, Ruusalepp, Arno, Schunkert, Heribert, Steiner, Andrea, Sukhavasi, Katyayani, von Scheidt, Moritz   +20 more
core   +1 more source

Transcriptome-wide association study identified candidate genes associated with gut microbiota

Gut Pathogens, 2021
Background Gut microbiota is closely associated with host health and disease occurrence. Host genetic factor plays an important role in shaping gut microbial communities.
Chuyu Pan, Yujie Ning, Yumeng Jia, Shiqiang Cheng, Yan Wen, Xuena Yang, Peilin Meng, Chun’e Li, Huijie Zhang, Yujing Chen, Jingxi Zhang, Zhen Zhang, Feng Zhang   +12 more
doaj   +1 more source

Transcriptome-wide association studies: recent advances in methods, applications and available databases

Communications Biology, 2023
Genome-wide association study has identified fruitful variants impacting heritable traits. Nevertheless, identifying critical genes underlying those significant variants has been a great task.
Jialin Mai, Mingming Lu, Qianwen Gao, Jingyao Zeng, Jingfa Xiao   +4 more
doaj   +1 more source

Dissecting the genetic heterogeneity of gastric cancerResearch in context

EBioMedicine, 2023
Summary: Background: Gastric cancer (GC) is clinically heterogenous according to location (cardia/non-cardia) and histopathology (diffuse/intestinal). We aimed to characterize the genetic risk architecture of GC according to its subtypes.
Timo Hess, Carlo Maj, Jan Gehlen, Oleg Borisov, Stephan L. Haas, Ines Gockel, Michael Vieth, Guillaume Piessen, Hakan Alakus, Yogesh Vashist, Carina Pereira, Michael Knapp, Vitalia Schüller, Alexander Quaas, Heike I. Grabsch, Jessica Trautmann, Ewa Malecka-Wojciesko, Anna Mokrowiecka, Jan Speller, Andreas Mayr, Julia Schröder, Axel M. Hillmer, Dominik Heider, Florian Lordick, Ángeles Pérez-Aísa, Rafael Campo, Jesús Espinel, Fernando Geijo, Concha Thomson, Luis Bujanda, Federico Sopeña, Ángel Lanas, María Pellisé, Claudia Pauligk, Thorsten Oliver Goetze, Carolin Zelck, Julian Reingruber, Emadeldin Hassanin, Peter Elbe, Sandra Alsabeah, Mats Lindblad, Magnus Nilsson, Nicole Kreuser, René Thieme, Francesca Tavano, Roberta Pastorino, Dario Arzani, Roberto Persiani, Jin-On Jung, Henrik Nienhüser, Katja Ott, Ralf R. Schumann, Oliver Kumpf, Susen Burock, Volker Arndt, Anna Jakubowska, Małgorzta Ławniczak, Victor Moreno, Vicente Martín, Manolis Kogevinas, Marina Pollán, Justyna Dąbrowska, Antonio Salas, Olivier Cussenot, Anne Boland-Auge, Delphine Daian, Jean-Francois Deleuze, Erika Salvi, Maris Teder-Laving, Gianluca Tomasello, Margherita Ratti, Chiara Senti, Valli De Re, Agostino Steffan, Arnulf H. Hölscher, Katharina Messerle, Christiane Josephine Bruns, Armands Sīviņš, Inga Bogdanova, Jurgita Skieceviciene, Justina Arstikyte, Markus Moehler, Hauke Lang, Peter P. Grimminger, Martin Kruschewski, Nikolaos Vassos, Claus Schildberg, Philipp Lingohr, Karsten Ridwelski, Hans Lippert, Nadine Fricker, Peter Krawitz, Per Hoffmann, Markus M. Nöthen, Lothar Veits, Jakob R. Izbicki, Adrianna Mostowska, Federico Martinón-Torres, Daniele Cusi, Rolf Adolfsson, Geraldine Cancel-Tassin, Aksana Höblinger, Ernst Rodermann, Monika Ludwig, Gisela Keller, Andres Metspalu, Hermann Brenner, Joerg Heller, Markus Neef, Michael Schepke, Franz Ludwig Dumoulin, Lutz Hamann, Renato Cannizzaro, Michele Ghidini, Dominik Plaßmann, Michael Geppert, Peter Malfertheiner, Olivier Gehlen, Tomasz Skoczylas, Marek Majewski, Jan Lubiński, Orazio Palmieri, Stefania Boccia, Anna Latiano, Nuria Aragones, Thomas Schmidt, Mário Dinis-Ribeiro, Rui Medeiros, Salah-Eddin Al-Batran, Mārcis Leja, Juozas Kupcinskas, María A. García-González, Marino Venerito, Johannes Schumacher   +133 more
doaj   +1 more source

Population-Matched Transcriptome Prediction Increases TWAS Discovery and Replication Rate

iScience, 2020
Summary: Most genome-wide association studies (GWAS) and transcriptome-wide association studies (TWAS) focus on European populations; however, these results cannot always be accurately applied to non-European populations due to genetic architecture ...
Elyse Geoffroy, Isabelle Gregga, Heather E. Wheeler   +2 more
doaj   +1 more source