Results 41 to 50 of about 92,622 (257)

A powerful fine-mapping method for transcriptome-wide association studies [PDF]

Human Genetics, 2019
Transcriptome-wide association studies (TWAS) have been recently applied to successfully identify many novel genes associated with complex traits. While appealing, TWAS tend to identify multiple significant genes per locus, and many of them may not be causal due to confounding through linkage disequilibrium (LD) among SNPs. Here we introduce a powerful
Chong Wu, Wei Pan
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Transcriptome-wide association study: Opportunity and challenges for cancer studies

Insights in Biology and Medicine, 2022
Genome-wide association studies (GWAS) have uncovered thousands of single nucleotide polymorphism (SNP) loci that are associated with complex traits. However, the majority of GWAS discoveries are located in non-coding regions and the biological mechanisms behind these associations are not well understood.
Kendy Shang, Jingni He
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From Gene Expression to Transcriptome-wide Association Study: Development and Comparison of Methodology

Xiehe Yixue Zazhi
Over the past two decades, genome-wide association study(GWAS) has identified numerous genetic variants and loci associated with heritable diseases. With the gradual maturation and saturation of GWAS methodologies, transcriptome-wide association study ...
FANG Kun, LI Guozhuang, WANG Linting, LI Qing, XU Kexin, ZHAO Lina, WU Zhihong, ZHANG Jianguo, WU Nan   +8 more
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Integrating Genome-Wide Association Studies and Gene Expression Profiles With Chemical-Genes Interaction Networks to Identify Chemicals Associated With Colorectal Cancer

Frontiers in Genetics, 2020
Colorectal cancer (CRC) is the third most common cancer and has the second highest mortality rate in global cancer. Exploring the associations between chemicals and CRC has great significance in prophylaxis and therapy of tumor diseases.
Xinyue Tan, Hanmin Tang, Liuyun Gong, Lina Xie, Yutiantian Lei, Zhenzhen Luo, Chenchen He, Jinlu Ma, Suxia Han   +8 more
doaj   +1 more source

Cross-tissue transcriptome-wide association study reveals novel psoriasis susceptibility genes. [PDF]

J Transl Autoimmun
Psoriasis is a chronic, immune-mediated inflammatory skin disorder with a strong genetic component. Although numerous GWAS have identified risk loci, many associated variants lie in non-coding regions, complicating functional interpretation.This study aimed to identify novel psoriasis susceptibility genes by integrating large-scale GWAS and eQTL data ...
Yan F, Tao J, Liu J, Chen Y, Huang Z.
europepmc   +4 more sources

A transcriptome-wide association study of Alzheimer’s disease using prediction models of relevant tissues identifies novel candidate susceptibility genes

Genome Medicine, 2021
Background Genome-wide association studies (GWAS) have identified over 56 susceptibility loci associated with Alzheimer’s disease (AD), but the genes responsible for these associations remain largely unknown.
Yanfa Sun, Jingjing Zhu, Dan Zhou, Saranya Canchi, Chong Wu, Nancy J. Cox, Robert A. Rissman, Eric R. Gamazon, Lang Wu   +8 more
doaj   +1 more source

Probabilistic fine-mapping of transcriptome-wide association studies [PDF]

, 2017
AbstractTranscriptome-wide association studies (TWAS) using predicted expression have identified thousands of genes whose locally-regulated expression is associated to complex traits and diseases. In this work, we show that linkage disequilibrium (LD) among SNPs induce significant gene-trait associations at non-causal genes as a function of the overlap
Mancuso, Nicholas, Kichaev, Gleb, Shi, Huwenbo, Freund, Malika, Gusev, Alexander, Pasaniuc, Bogdan   +5 more
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Identification and validation of novel risk genes for intervertebral disc disorder by integrating large-scale multi-omics analyses and experimental studies

Frontiers in Medicine
IntroductionAlthough genome-wide association studies (GWAS) have identified multiple genetic loci linked to intervertebral disc disorder (IDD), their functional characterization remains largely unelucidated.
Zhe Zhang, Zhe Zhang, Yu Chen, Qianjin Wang, Zheng Li, Bingyang Dai, Bingyang Dai, Cheng Dong, Cheng Dong, Zhengya Zhu   +9 more
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Transcriptome‐wide association study reveals candidate causal genes for lung cancer [PDF]

International Journal of Cancer, 2019
We have recently completed the largest GWAS on lung cancer including 29,266 cases and 56,450 controls of European descent. The goal of our study has been to integrate the complete GWAS results with a large‐scale expression quantitative trait loci (eQTL) mapping study in human lung tissues (n = 1,038) to identify candidate causal genes for lung cancer ...
Yohan Bossé, Zhonglin Li, Jun Xia, Venkata Manem, Robert Carreras‐Torres, Aurélie Gabriel, Nathalie Gaudreault, Demetrius Albanes, Melinda C. Aldrich, Angeline Andrew, Susanne Arnold, Heike Bickeböller, Stig E. Bojesen, Paul Brennan, Hans Brunnstrom, Neil Caporaso, Chu Chen, David C. Christiani, John K. Field, Gary Goodman, Kjell Grankvist, Richard Houlston, Mattias Johansson, Mikael Johansson, Lambertus A. Kiemeney, Stephen Lam, Maria T. Landi, Philip Lazarus, Loic Le Marchand, Geoffrey Liu, Olle Melander, Gadi Rennert, Angela Risch, Susan M. Rosenberg, Matthew B. Schabath, Sanjay Shete, Zhuoyi Song, Victoria L. Stevens, Adonina Tardon, H‐Erich Wichmann, Penella Woll, Shan Zienolddiny, Ma'en Obeidat, Wim Timens, Rayjean J. Hung, Philippe Joubert, Christopher I. Amos, James D. McKay   +47 more
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Identification of asthma-related genes using asthmatic blood eQTLs of Korean patients

BMC Medical Genomics, 2023
Background More than 200 asthma-associated genetic variants have been identified in genome-wide association studies (GWASs). Expression quantitative trait loci (eQTL) data resources can help identify causal genes of the GWAS signals, but it can be ...
Dong Jun Kim, Ji Eun Lim, Hae-Un Jung, Ju Yeon Chung, Eun Ju Baek, Hyein Jung, Shin Young Kwon, Han Kyul Kim, Ji-One Kang, Kyungtaek Park, Sungho Won, Tae-Bum Kim, Bermseok Oh   +12 more
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