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1161por Wang, Wenting, Tan, Jiang-Shan, Hua, Lu, Zhu, Shengsong, Lin, Hongyun, Wu, Yan, Liu, Jinping“…METHODS: Two-sample Mendelian randomization (MR) study was conducted based on the data obtained from the GIANT (n = 98,697 participants) consortium and FinnGen (n = 96,449 participants) consortium to determine the causal effect of obesity on the risk of hypertension disorders in pregnancy. …”
Publicado 2022
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1162por Chen, Yuting, Shen, Jiran, Wu, Ye, Ni, Man, Deng, Yujie, Sun, Xiaoya, Wang, Xinqi, Zhang, Tao, Pan, Faming, Tang, Zhiru“…The summary statistics for acute bronchitis, acute bronchiolitis, bronchiectasis, pneumonia, and influenza and pneumonia were derived from the FinnGen project. RESULTS: We found that genetically predicted an extra daily cup of tea intake was causally associated with the decreased risk of bronchiectasis [odds ratio (OR) = 0.61, 95% confidence interval (CI) = 0.47–0.78, P < 0.001], pneumonia (OR = 0.90, 95% CI = 0.85–0.96, P = 0.002), influenza and pneumonia (OR = 0.91, 95% CI = 0.85–0.97, P = 0.002), but not with acute bronchitis (OR = 0.91, 95% CI = 0.82–1.01, P = 0.067) and acute bronchiolitis (OR = 0.79, 95% CI = 0.60–1.05, P = 0.100). …”
Publicado 2022
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1163por Pascale, Angela, Stephenson, Mallory, Barr, Peter, Latvala, Antti, Aaltonen, Sari, Piirtola, Maarit, Viken, Richard, Rose, Richard J., Kaprio, Jaakko, Maes, Hermine, Dick, Danielle M., Salvatore, Jessica E.“…METHOD: The sample included 2733 twin pairs (32% monozygotic; 52% female) from the FinnTwin16 study. Adolescent alcohol misuse was a composite of frequency of drunkenness, frequency of alcohol use, and alcohol problems at ages 16, 17, and 18.5. …”
Publicado 2022
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1164por Guo, Weijie, Dai, Mengyuan, Zhong, Zhuoling, Zhu, San, Gong, Guidong, Chen, Mei, Guo, Junling, Zhang, Yaoyao“…The exposure data comes from a genome-wide association study (GWAS) summary dataset consisting of 441,291 individuals, which includes datasets from United Kingdom Biobank, FinnGen Biobank and the corresponding consortia. …”
Publicado 2022
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1165“…Association of single nucleotide polymorphisms (SNPs) with each AT and glaucoma were determined individually from the aggregated data of the Genetic Investigation of Anthropometric Traits (GIANT) consortium and the FinnGen study summary data (8,591 cases with glaucoma and 210,201 controls). …”
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1166“…Summary statistics of cardiovascular diseases were derived from large-scale consortiums, including HERMES and FinnGen biobank. MR-Egger, weighted median, inverse variance weighted, pleiotropy residual sum and outlier (MR-PRESSO) methods and MR using robust adjusted profile score (MR-RAPS) were employed to analyze causality. …”
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1167por Sun, Yancui, Zhang, Ying, Xu, Nan, Bi, Cheng, Liu, Xiaojie, Song, Wei, Jiang, Yinong“…METHODS AND RESULTS: We performed a two-Mendelian randomization (MR) analysis implementing the results from the FinnGen large-scale, genome-wide association study for hypertension (N = 218,754), and LV (N = 16,923) and LA studies (N = 35,648) by the UK Biobank to identify genetic instruments. …”
Publicado 2022
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1168“…Summary statistics of autism was obtained from two independent studies conducted by Psychiatric Genomics Consortium (PGC, Ncases = 5,305, Ncontrols = 5,305) and FinnGen Consortium (FC, Round six, Ncases = 344, Ncontrols = 258,095), respectively. …”
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1169por Dicanio, Marco, Giaccherini, Matteo, Clay‐Gilmour, Alyssa, Macauda, Angelica, Sainz, Juan, Machiela, Mitchell J., Rybicka‐Ramos, Malwina, Norman, Aaron D., Tyczyńska, Agata, Chanock, Stephen J., Barington, Torben, Kumar, Shaji K., Bhatti, Parveen, Cozen, Wendy, Brown, Elizabeth E., Suska, Anna, Haastrup, Eva K., Orlowski, Robert Z., Dudziński, Marek, Garcia‐Sanz, Ramon, Kruszewski, Marcin, Martinez‐Lopez, Joaquin, Beider, Katia, Iskierka‐Jazdzewska, Elżbieta, Pelosini, Matteo, Berndt, Sonja I., Raźny, Małgorzata, Jamroziak, Krzysztof, Rajkumar, S. Vincent, Jurczyszyn, Artur, Vangsted, Annette Juul, Collado, Pilar Garrido, Vogel, Ulla, Hofmann, Jonathan N., Petrini, Mario, Butrym, Aleksandra, Slager, Susan L., Ziv, Elad, Subocz, Edyta, Giles, Graham G., Andersen, Niels Frost, Mazur, Grzegorz, Watek, Marzena, Lesueur, Fabienne, Hildebrandt, Michelle A. T., Zawirska, Daria, Ebbesen, Lene Hyldahl, Marques, Herlander, Gemignani, Federica, Dumontet, Charles, Várkonyi, Judit, Buda, Gabriele, Nagler, Arnon, Druzd‐Sitek, Agnieszka, Wu, Xifeng, Kadar, Katalin, Camp, Nicola J., Grzasko, Norbert, Waller, Rosalie G., Vachon, Celine, Canzian, Federico, Campa, Daniele“…The 10 SNPs showing the strongest associations with MM risk in InterLymph were selected for replication in an independent set of 1955 MM cases and 1549 controls from the International Multiple Myeloma rESEarch (IMMEnSE) consortium and 418 MM cases and 147 282 controls from the FinnGen project. The combined analysis of the three studies identified an association between DNAJB4‐rs34517439‐A and an increased risk of developing MM (OR = 1.22, 95%CI 1.13‐1.32, P = 4.81 × 10(−7)). rs34517439‐A is associated with a modified expression of the FUBP1 gene, which encodes a multifunctional DNA and RNA‐binding protein that it was observed to influence the regulation of various genes involved in cell cycle regulation, among which various oncogenes and oncosuppressors. …”
Publicado 2022
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1170por Tervi, Anniina, Junna, Nella, Broberg, Martin, Jones, Samuel E, Strausz, Satu, Kreivi, Hanna-Riikka, Heckman, Caroline A, Ollila, Hanna M“…A total of 1895 individuals in the FinnGen study had International Classification of Diseases-based tuberculosis diagnosis. …”
Publicado 2022
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1171por Wang, Kai, Yang, Fangkun, Liu, Xin, Lin, Xueqi, Yin, Houfa, Tang, Qiaomei, Jiang, Li, Yao, Ke“…Summary-level data for glaucoma were obtained from the UK Biobank, the GERA study, and the FinnGen consortium. Univariable and multivariable MR analyses were conducted separately in two populations. …”
Publicado 2023
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1172por Khurana, Ishant, Kaipananickal, Harikrishnan, Maxwell, Scott, Birkelund, Sørine, Syreeni, Anna, Forsblom, Carol, Okabe, Jun, Ziemann, Mark, Kaspi, Antony, Rafehi, Haloom, Jørgensen, Anne, Al-Hasani, Keith, Thomas, Merlin C., Jiang, Guozhi, Luk, Andrea O.Y., Lee, Heung Man, Huang, Yu, Thewjitcharoen, Yotsapon, Nakasatien, Soontaree, Himathongkam, Thep, Fogarty, Christopher, Njeim, Rachel, Eid, Assaad, Hansen, Tine Willum, Tofte, Nete, Ottesen, Evy C., Ma, Ronald C.W., Chan, Juliana C.N., Cooper, Mark E., Rossing, Peter, Groop, Per-Henrik, El-Osta, Assam“…To overcome these challenges, we performed methylation sequencing using leukocytes derived from participants of the Finnish Diabetic Nephropathy (FinnDiane) type 1 diabetes (T1D) study (n = 39) that was subsequently replicated in a larger validation cohort (n = 296). …”
Publicado 2023
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1173“…Summary genetic data of AF were obtained from FinnGen (Ncase = 22,068; Ncontrol = 116,926). Inverse-variance weighted (IVW), MR-Egger and weighted median methods were selected to infer causality, complemented with a series of sensitivity analyses. …”
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1174por Hemerich, Daiane, Smit, Roelof A. J., Preuss, Michael, Stalbow, Lauren, van der Laan, Sander W., Asselbergs, Folkert W., van Setten, Jessica, Tragante, Vinicius“…We used T2D tissue-grouped variant sets as genetic instruments to conduct 2-Sample Mendelian Randomization (MR) in ten related outcomes whose risk is increased by T2D using the FinnGen cohort. We performed PheWAS analysis to investigate whether the T2D tissue-grouped variant sets had specific predicted disease signatures. …”
Publicado 2023
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1175por Yuan, Shuai, Wang, Lijuan, Zhang, Han, Xu, Fengzhe, Zhou, Xuan, Yu, Lili, Sun, Jing, Chen, Jie, Ying, Haochao, Xu, Xiaolin, Yu, Yongfu, Spiliopoulou, Athina, Shen, Xia, Wilson, Jim, Gill, Dipender, Theodoratou, Evropi, Larsson, Susanna C., Li, Xue“…Identified associations were examined for replication in FinnGen (N = 260,405). We further performed tissue-specific gene expression MR, colocalization analyses, and MR with 247 blood biomarkers. …”
Publicado 2023
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1176por Zhou, Tingfeng, Chen, Mengjiao, Yuan, Ziyi, Xia, Zhigang, Zhang, Shurou, Zhang, Ziheng, Chen, Huanqi, Lin, Renyu“…Genetic data for ISSHL were obtained from the FinnGen study (n = 196,592). Effect estimates were assessed using inverse variance weighting (IVW) as the primary method. …”
Publicado 2023
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1177por Lobach, David F, Johns, Ellis B, Halpenny, Barbara, Saunders, Toni-Ann, Brzozowski, Jane, Del Fiol, Guilherme, Berry, Donna L, Braun, Ilana M, Finn, Kathleen, Wolfe, Joanne, Abrahm, Janet L, Cooley, Mary EEnlace del recurso
Publicado 2016
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1178por Castensøe-Seidenfaden, Pernille, Husted, Gitte Reventlov, Jensen, Andreas Kryger, Hommel, Eva, Olsen, Birthe, Pedersen-Bjergaard, Ulrik, Kensing, Finn, Teilmann, GreteEnlace del recurso
Publicado 2018
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1180por Fornacon-Wood, Isabella, Chan, Clara, Bayman, Neil, Banfill, Kathryn, Coote, Joanna, Garbett, Alex, Harris, Margaret, Hudson, Andrew, Kennedy, Jason, Pemberton, Laura, Salem, Ahmed, Sheikh, Hamid, Whitehurst, Philip, Woolf, David, Price, Gareth, Faivre-Finn, CorinneEnlace del recurso
Publicado 2022
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