Results 31 to 40 of about 40,064,637 (293)

Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization [PDF]

The American Journal of Human Genetics, 2021
A transcriptome-wide association study (TWAS) integrates data from genome-wide association studies and gene expression mapping studies for investigating the gene regulatory mechanisms underlying diseases. Existing TWAS methods are primarily univariate in nature, focusing on analyzing one outcome trait at a time.
Lu, Liu, Ping, Zeng, Fuzhong, Xue, Zhongshang, Yuan, Xiang, Zhou   +4 more
openaire   +2 more sources

Identifying and Exploring the Candidate Susceptibility Genes of Cirrhosis Using the Multi-Tissue Transcriptome-Wide Association Study

Frontiers in Genetics, 2022
Objective: We identify and explore the candidate susceptibility genes for cirrhosis and their underlying biological mechanism.Methods: We downloaded the genome-wide association studies summary data of 901 cirrhosis cases and 451,363 controls and ...
Xiao-Bo Zhu, Yu-Qing Hou, Xiang-Yu Ye, Yi-Xin Zou, Xue-Shan Xia, Sheng Yang, Peng Huang, Rong-Bin Yu   +7 more
doaj   +1 more source

Multiancestry Transcriptome-Wide Association Study Identifies Candidate Genes Associated with Hepatoblastoma. [PDF]

Cancer Epidemiol Biomarkers Prev
Abstract Background: Hepatoblastoma (HB) is a rare embryonal liver tumor, with an increasing global incidence that underscores the need to understand its genetic etiology. Methods: Utilizing the ancestry-matched ...
Xie T, Sorenson JC, Spector LG, Pankratz N, Huang RS, Hiyama E, Poynter JN, Tomlinson GE, Armengol C, Kappler R, Scheurer ME, Roman E, Castellano A, Grotzer MA, Ziegler DS, Basu S, Marcotte EL, Yang T.   +17 more
europepmc   +3 more sources

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
openaire   +1 more source

Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes

Human Genomics, 2019
Background While genome-wide association studies (GWAS) of multiple myeloma (MM) have identified variants at 23 regions influencing risk, the genes underlying these associations are largely unknown. To identify candidate causal genes at these regions and
Molly Went, Ben Kinnersley, Amit Sud, David C. Johnson, Niels Weinhold, Asta Försti, Mark van Duin, Giulia Orlando, Jonathan S. Mitchell, Rowan Kuiper, Brian A. Walker, Walter M. Gregory, Per Hoffmann, Graham H. Jackson, Markus M. Nöthen, Miguel Inacio da Silva Filho, Hauke Thomsen, Annemiek Broyl, Faith E. Davies, Unnur Thorsteinsdottir, Markus Hansson, Martin Kaiser, Pieter Sonneveld, Hartmut Goldschmidt, Kari Stefansson, Kari Hemminki, Björn Nilsson, Gareth J. Morgan, Richard S. Houlston   +28 more
doaj   +1 more source

Integrative Analysis of Transcriptome-Wide Association Study and mRNA Expression Profiles Identified Candidate Genes and Pathways Associated With Acute Myocardial Infarction

Frontiers in Genetics, 2021
BackgroundAcute myocardial infarction (AMI), characterized by an event of myocardial necrosis, is a common cardiac emergency worldwide. However, the genetic mechanisms of AMI remain largely elusive.MethodsA genome-wide association study dataset of AMI ...
Guanzhong Chen, Guanzhong Chen, Liwei Liu, Liwei Liu, Huanqiang Li, Zhubin Lun, Zhubin Lun, Ziling Mai, Ziling Mai, Wenguang Lai, Wenguang Lai, Enzhao Chen, Chunyun Zhou, Sijia Yu, Sijia Yu, Junqing Yang, Shiqun Chen, Jiyan Chen, Jiyan Chen, Jiyan Chen, Yong Liu, Yong Liu, Yong Liu   +22 more
doaj   +1 more source

Transcriptome-wide association studies: opportunities and challenges [PDF]

, 2017
Transcriptome-wide association studies (TWAS) integrate GWAS and gene expression datasets to find gene-trait associations. In this Perspective, we explore properties of TWAS as a potential approach to prioritize causal genes, using simulations and case studies of literature-curated candidate causal genes for schizophrenia, LDL cholesterol and Crohn’s ...
Wainberg, Michael, Sinnott-Armstrong, Nasa, Mancuso, Nicholas, Barbeira, Alvaro N., Knowles, David A, Golan, David, Ermel, Raili, Ruusalepp, Arno, Quertermous, Thomas, Hao, Ke, Björkegren, Johan LM, Kyung Im, Hae, Pasaniuc, Bogdan, Rivas, Manuel A, Kundaje, Anshul   +14 more
openaire   +1 more source

Genome-wide association study of major depressive disorder: new results, meta-analysis, and lessons learned [PDF]

, 2010
Major depressive disorder (MDD) is a common complex disorder with a partly genetic etiology. We conducted a genome-wide association study of the MDD2000+ sample (2431 cases, 3673 screened controls and >1 M imputed single-nucleotide polymorphisms (SNPs)).
D I Boomsma, Maclean, A. W., Sullivan, P.F., Sullivan, P F, G Willemsen, de Geus, E.J.C., D J Statham, Willemsen, G.; id_orcid, Gordon, SD, Penninx, BWJH, Smit, J H, Medland, S E, Maclean, A.W., S E Medland, Penninx, B. W. J. H., van den Oord, E J C G, Montgomery, G W, Pergadia, M L, Byrne, E.M., Heath, A.C., Martin, N.G., MacIntyre, Donald; id_orcid, Hickie, I.B., Statham, D.J., C M Middeldorp, E M Byrne, B W J H Penninx, Nyholt, D.R., J J Hottenga, J H Smit, A K Henders, Blackwood, D.H., Liu, J. Z., N G Martin, A W Maclean, Lewis, C.M., Montgomery, G. W., McGuffin, P, S D Gordon, McEvoy, B.P., MacIntyre, D J, McGhee, K A, P A F Madden, MacIntyre, D J; id_orcid, Pergadia, M. L., van den Oord, E.J., McEvoy, B P, Gordon, S.D., Martin, N. G., D H R Blackwood, P F Sullivan, De Geus, E. J. C., Montgomery, G.W., Hottenga, J.J., Hickie, I. B., McGhee, K.A., Medland, S. E., C M Lewis, J Z Liu, Gordon, S D, Smit, J. H., Boomsma, D. I., Hottenga, J. J., Smit, J.H., Middeldorp, C.M., Ripke, S., M L Pergadia, Hickie, I B, de Geus, E.J., Wray, NR, Van Den Oord, E. J. C. G., Wray, N. R., Blackwood, DHR, de Geus, E J C, Penninx, B.W., B P McEvoy, McGhee, K. A., Middeldorp, C. M., Byrne, E. M., McEvoy, B. P., Macgregor, S, E J C G van den Oord, Statham, D J, Heath, A C, Lewis, C. M., van den Oord, E.J.C.G., I B Hickie, Willemsen, G., Pergadia, M.L., Medland, S.E., Sullivan, P. F., Penninx, B.W.J.H., Heath, A. C., Maclean, AW, Nyholt, D. R., N R Wray, S Macgregor, MacIntyre, DJ, Boomsma, D.I., G W Montgomery, Lewis, C M, Henders, A K, Madden, P. A. F., Madden, P.A.F., Henders, A.K., Hottenga, J J, McGuffin, P., Boomsma, D I, Madden, P.A., de Geus, E.J.C.; id_orcid, Oord, E.J.C.G. van den, Henders, A. K., Wray, N R, Madden, P A F, E J C de Geus, Pergadia, ML, D R Nyholt, Maclean, A W, Ripke, S, A C Heath, Ripke, Stephan, MacIntyre, D. J., Geus, E.J.C. de, Blackwood, D. H. R., Statham, D. J., Penninx, B W J H, Macgregor, S., Gordon, S. D., McGhee, KA, D J MacIntyre, Nyholt, D R, Wray, N.R., Middeldorp, C M, Liu, J Z, S Ripke, K A McGhee, P McGuffin, Nyholt, DR, Willemsen, G, Boomsma, D.I.; id_orcid, Lewis, C. M.; id_orcid, Martin, N G, Blackwood, D H R, Liu, J.Z., Byrne, E M, MacIntyre, D.J.   +145 more
core   +2 more sources

Integrative approaches for large-scale transcriptome-wide association studies [PDF]

Nature Genetics, 2015
Abstract Many genetic variants influence complex traits by modulating gene expression, thus altering the abundance levels of one or multiple proteins. In this work we introduce a powerful strategy that integrates gene expression measurements with large-scale genome-wide association data to identify genes whose cis ...
Alexander Gusev, Arthur Ko, Huwenbo Shi, Gaurav Bhatia, Wonil Chung, Brenda W J H Penninx, Rick Jansen, Eco J C de Geus, Dorret I Boomsma, Fred A Wright, Patrick F Sullivan, Elina Nikkola, Marcus Alvarez, Mete Civelek, Aldons J Lusis, Terho Lehtimäki, Emma Raitoharju, Mika Kähönen, Ilkka Seppälä, Olli T Raitakari, Johanna Kuusisto, Markku Laakso, Alkes L Price, Päivi Pajukanta, Bogdan Pasaniuc   +24 more
openaire   +8 more sources

Genome-wide association study of receptive language ability of 12 year olds [PDF]

, 2013
Purpose: We have previously shown that individual differences in measures of receptive language ability at age 12 are highly heritable. The current study attempted to identify some of the genes responsible for the heritability of receptive language ...
Hanscombe, K.B., Meaburn, Emma L, Dale, Philip S, Plomin, Robert, Hayiou-Thomas, Marianna E, Jankowski, Janusz, Haworth, Claire M.A., Trzaskowski, M., Haworth, C., Haworth, Claire M. A., Hayiou-Thomas, Marianna E., Wellcome Trust Case Control Consortium (including Jankowski J), Harlaar, N., Haworth, Claire M A, Dale, Philip S., Dale, P., Harlaar, Nicole, Price, T.S, Price, Thomas S, Docherty, Sophia, Hayiou-Thomas, M.E., Davis, Oliver S. P., Plomin, R., Meaburn, Emma L., Price, Tom S., HASH(0x55a67fe4f3e8), Hanscombe, Ken B., ?, ?, Davis, O.S.P., Docherty, S.J., Price, Thomas S., Trzaskowski, Maciej, Davis, Oliver S P   +32 more
core   +1 more source