Results 11 to 20 of about 40,064,733 (237)

Assigning function to genome wide association study variants associated with complex gastrointestinal disease [PDF]

, 2009
PhDThe genome‐wide association study era has identified numerous loci associated with many common polygenic diseases. The next challenge is to identify the functional consequences of these variants and elicit how they impact on disease risk.
Heap, Graham Alastair Richard
core   +4 more sources

Integrating Transcriptome-Wide Association Study and mRNA Expression Profiling Identifies Novel Genes Associated With Osteonecrosis of the Femoral Head

Frontiers in Genetics, 2021
ObjectiveThis study aims to identify novel candidate genes associated with osteonecrosis of the femoral head (ONFH).MethodsA transcriptome-wide association study (TWAS) was performed by integrating the genome-wide association study dataset of ...
Mei Ma, Peilin Li, Li Liu, Shiqiang Cheng, Bolun Cheng, Chu Jun Liang, Sijia Tan, Wenyu Li, Yan Wen, Xiong Guo, Cuiyan Wu   +10 more
doaj   +1 more source

Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci

Breast Cancer Research, 2022
Background Mammographic density (MD) phenotypes, including percent density (PMD), area of dense tissue (DA), and area of non-dense tissue (NDA), are associated with breast cancer risk. Twin studies suggest that MD phenotypes are highly heritable. However,
Hongjie Chen, Shaoqi Fan, Jennifer Stone, Deborah J. Thompson, Julie Douglas, Shuai Li, Christopher Scott, Manjeet K. Bolla, Qin Wang, Joe Dennis, Kyriaki Michailidou, Christopher Li, Ulrike Peters, John L. Hopper, Melissa C. Southey, Tu Nguyen-Dumont, Tuong L. Nguyen, Peter A. Fasching, Annika Behrens, Gemma Cadby, Rachel A. Murphy, Kristan Aronson, Anthony Howell, Susan Astley, Fergus Couch, Janet Olson, Roger L. Milne, Graham G. Giles, Christopher A. Haiman, Gertraud Maskarinec, Stacey Winham, Esther M. John, Allison Kurian, Heather Eliassen, Irene Andrulis, D. Gareth Evans, William G. Newman, Per Hall, Kamila Czene, Anthony Swerdlow, Michael Jones, Marina Pollan, Pablo Fernandez-Navarro, Daniel S. McConnell, Vessela N. Kristensen, NBCS Investigators, Joseph H. Rothstein, Pei Wang, Laurel A. Habel, Weiva Sieh, Alison M. Dunning, Paul D. P. Pharoah, Douglas F. Easton, Gretchen L. Gierach, Rulla M. Tamimi, Celine M. Vachon, Sara Lindström   +56 more
doaj   +1 more source

Genome- and Transcriptome-wide Association Studies to Discover Candidate Genes for Diverse Root Phenotypes in Cultivated Rice

Rice, 2023
Root system architecture plays a crucial role in nutrient and water absorption during rice production. Genetic improvement of the rice root system requires elucidating its genetic control.
Shujun Wei, Ryokei Tanaka, Taiji Kawakatsu, Shota Teramoto, Nobuhiro Tanaka, Matthew Shenton, Yusaku Uga, Shiori Yabe   +7 more
doaj   +1 more source

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

Transcriptome-wide association study identifies susceptibility genes for rheumatoid arthritis

Arthritis Research & Therapy, 2021
Objective To identify rheumatoid arthritis (RA)-associated susceptibility genes and pathways through integrating genome-wide association study (GWAS) and gene expression profile data. Methods A transcriptome-wide association study (TWAS) was conducted by
Cuiyan Wu, Sijian Tan, Li Liu, Shiqiang Cheng, Peilin Li, Wenyu Li, Huan Liu, Feng’e Zhang, Sen Wang, Yujie Ning, Yan Wen, Feng Zhang   +11 more
doaj   +1 more source

Transcriptome‐wide association study identifies multiple genes and pathways associated with pancreatic cancer

Cancer Medicine, 2018
Aim To identify novel candidate genes for pancreatic cancer. Methods We performed a transcriptome‐wide association study (TWAS) analysis of pancreatic cancer (PC).
Liuyun Gong, Dan Zhang, Yutiantian Lei, Yuanjie Qian, Xinyue Tan, Suxia Han   +5 more
doaj   +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

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