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1441“…Genome-wide significant genetic instruments (p < 5 × 10(–8)) for risk factors were extracted from European-descent genome-wide association studies, whereas aortic aneurysm genetic instruments were selected from the UK Biobank and FinnGen cohort. The inverse-variance weighted MR was used as the main analysis, and MR-Egger (MRE), weighted median MR, MR pleiotropy residual sum and outlier, and Phenoscanner searching were performed as sensitivity analyses. …”
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1442“…The MR analyses were replicated using FinnGen datasets, and the main results were combined in meta−analyses. …”
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1443“…The summary statistics of daytime sleepiness were from UK Biobank (n = 452,071) and LBP were provided by the FinnGen Release 6 (210,645 individuals with 16,356 LBP cases and 194,289 controls) or UK Biobank (5,423 cases versus 355,771 controls). …”
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1444“…Replication analyses were performed using GWAS datasets from FinnGen. RESULTS: In the meta-analysis of inverse-variance weighted estimates from different data sources, genetically determined higher FI conferred an odds ratio (OR) of 1.46 [95% confidence interval (CI): 1.13 to 1.87; P=0.003] for CAD, 1.62 (95% CI: 1.21 to 2.17, P=0.001) for MI, and 1.46 (95% CI: 1.24 to 1.72; P=4.89×10(−6)) for HF. …”
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1445por Zhang, Qiaoyun, Zhang, Xiaoyu, Zhang, Jie, Wang, Biyan, Tian, Qiuyue, Meng, Xiaoni, Zhang, Jinxia, Jiang, Mengyang, Zhang, Yiqiang, Zheng, Deqiang, Wu, Lijuan, Wang, Wei, Wang, Baoguo, Wang, Youxin“…METHODS: Summary statistics from genome-wide association studies (GWAS) for VEGF and VTE were obtained from published meta-analysis studies and the FinnGen consortium, respectively. Independent genetic variables significantly associated with exposure were selected as instrumental variables. …”
Publicado 2022
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1446“…Genetically predicted H. pylori infection showed no association with NAFLD both in FinnGen GWAS (OR, 1.048; 95% CI, 0.778–1.411; value of p = 0.759) and the GWAS conducted by Anstee (OR, 0.775; 95% CI, 0.475–1.265; value of p = 0.308). …”
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1447por Yuan, Shuai, Sun, Jing, Lu, Ying, Xu, Fengzhe, Li, Doudou, Jiang, Fangyuan, Wan, Zhongxiao, Li, Xue, Qin, Li-Qiang, Larsson, Susanna C.“…The associations identified in MR-PheWAS were examined by two-sample MR analysis using data from the FinnGen study (n=260,405) and international consortia. …”
Publicado 2022
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1448“…Summary data of diabetic microvascular complications were derived from the FinnGen study (3,283 cases and 181,704 controls for diabetic nephropathy, and 14,584 cases and 176,010 controls for diabetic retinopathy, both were of European ancestry). …”
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1449por Li, Qingqin S., Shabalin, Andrey A., DiBlasi, Emily, Gopal, Srihari, Canuso, Carla M., Palotie, Aarno, Drevets, Wayne C., Docherty, Anna R., Coon, Hilary“…Lastly, we replicated two loci including variants near SOX5 and LOC101928519 associated with suicidal attempts identified in the ISGC and MVP meta-analysis using the independent FinnGen samples. Suicide death and suicidal behavior showed positive genetic correlations with depression, schizophrenia, pain, and suicidal attempt, and negative genetic correlation with educational attainment. …”
Publicado 2022
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1450por Wan, Xianjie, Xie, Jiale, Yang, Mingyi, Yu, Hui, Hou, Weikun, Xu, Ke, Wang, Jiachen, Xu, Peng“…The summary GWAS data for the dose of depression medications were derived from the FinnGen consortium (58,842 cases and 59,827 controls). …”
Publicado 2023
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1451por Yun, Zhangjun, Nan, Mengdie, Li, Xiao, Liu, Zhu, Xu, Jing, Du, Xiaofeng, Dong, Qing, Hou, Li“…METHODS: Two-sample Mendelian randomization (MR) was performed based on genome-wide association studies (GWAS) summary data from UK Biobank and FinnGen to evaluate the causal effect of meat intake [processed meat, red meat (pork, beef, and lamb), and white meat (poultry)] on DCTs (esophageal, stomach, liver, biliary tract, pancreatic, and colorectal cancers). …”
Publicado 2023
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1452“…Our pipeline is demonstrated using two important data sources, initially organized according to different data models: the NHGRI-EBI GWAS Catalog and FinnGen (University of Helsinki). The integration effort finally allows us to use these datasets within multi-sample processing queries that respond to important biological questions. …”
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1453por Sævik, Åse Bjorvatn, Ueland, Grethe, Åkerman, Anna-Karin, Methlie, Paal, Quinkler, Marcus, Jørgensen, Anders, Höybye, Charlotte, Debowska, Alexandra W J, Nedrebø, Bjørn Gunnar, Dahle, Anne-Lise, Carlsen, Siri, Tomkowicz, Aneta E, Sollid, Stina Therese, Nermoen, Ingrid, Grønning, Kaja, Dahlqvist, Per Mikael, Grimnes, Guri, Skov, Jakob, Finnes, Trine Elisabeth, Valland, Susanna F, Holte, Synnøve E, Wahlberg, Jeanette, Kämpe, Olle, Bensing, Sophie, Husebye, Eystein Sverre, Øksnes, Marianne“…Grimnes: None. J. Skov: None. T. Finnes: None. S.F. Valland: None. S.E. Holte: None. …”
Publicado 2023
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1454
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1455por Tighe, Sarah A, Ball, Kylie, Kensing, Finn, Kayser, Lars, Rawstorn, Jonathan C, Maddison, RalphEnlace del recurso
Publicado 2020
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1456por Tyrmi, Jaakko S, Arffman, Riikka K, Pujol-Gualdo, Natàlia, Kurra, Venla, Morin-Papunen, Laure, Sliz, Eeva, Piltonen, Terhi T, Laisk, Triin, Kettunen, Johannes, Laivuori, Hannele“…Also, BMI data were not available for all (63% for FinnGen, 76% for EstBB), and the biobank setting limited the accessibility of PCOS phenotypes and laboratory values. …”
Publicado 2021
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1457por Cowell, FinnEnlace del recurso
Publicado 2022
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1458por Wolff, Georg, Wernly, Bernhard, Flaatten, Hans, Fjølner, Jesper, Bruno, Raphael Romano, Artigas, Antonio, Pinto, Bernardo Bollen, Schefold, Joerg C., Kelm, Malte, Binneboessel, Stephan, Baldia, Philipp, Beil, Michael, Sivri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Flamm, Maria, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Boumendil, Ariane, De Lange, Dylan W., Guidet, Bertrand, Leaver, Susannah, Jung, ChristianEnlace del recurso
Publicado 2023
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1459por Trueman, Ryan P., Finn, Peter Gilhooly, Westwood, Megan M., Dey, Avishek, Palgrave, Robert, Tabor, Alethea, Phillips, James B., Schroeder, Bob C.Enlace del recurso
Publicado 2023
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1460por Hincapie, Robert, Bhattacharya, Sonia, Keshavarz-Joud, Parisa, Chapman, Asheley P., Crooke, Stephen N., Finn, M. G.Enlace del recurso
Publicado 2023
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