Search

Your search keyword '"Laisk, Triin"' showing total 238 results
Start Over Author "Laisk, Triin"
238 results on '"Laisk, Triin"'

1. Integrative common and rare variant analyses provide insights into the genetic architecture of liver cirrhosis.

Author

Ghouse, Jonas, Sveinbjörnsson, Gardar, Vujkovic, Marijana, Seidelin, Anne-Sofie, Gellert-Kristensen, Helene, Ahlberg, Gustav, Tragante, Vinicius, Rand, Søren, Brancale, Joseph, Vilarinho, Silvia, Lundegaard, Pia, Sørensen, Erik, Erikstrup, Christian, Bruun, Mie, Jensen, Bitten, Brunak, Søren, Banasik, Karina, Ullum, Henrik, Verweij, Niek, Lotta, Luca, Baras, Aris, Mirshahi, Tooraj, Carey, David, Kaplan, David, Lynch, Julie, Morgan, Timothy, Schwantes-An, Tae-Hwi, Dochtermann, Daniel, Pyarajan, Saiju, Tsao, Philip, Laisk, Triin, Mägi, Reedik, Kozlitina, Julia, Tybjærg-Hansen, Anne, Jones, David, Knowlton, Kirk, Nadauld, Lincoln, Ferkingstad, Egil, Björnsson, Einar, Ulfarsson, Magnus, Sturluson, Árni, Sulem, Patrick, Pedersen, Ole, Ostrowski, Sisse, Gudbjartsson, Daniel, Stefansson, Kari, Olesen, Morten, Chang, Kyong-Mi, Holm, Hilma, Bundgaard, Henning, and Stender, Stefan

Subjects
Humans, Liver Cirrhosis, Genome-Wide Association Study, Genetic Predisposition to Disease, Liver Neoplasms, Carcinoma, Hepatocellular, Alanine Transaminase, Polymorphism, Single Nucleotide, Male, Lipase, Female, gamma-Glutamyltransferase, Membrane Proteins, Cohort Studies, Case-Control Studies, Multifactorial Inheritance, Risk Factors, Genetic Variation
Abstract

We report a multi-ancestry genome-wide association study on liver cirrhosis and its associated endophenotypes, alanine aminotransferase (ALT) and γ-glutamyl transferase. Using data from 12 cohorts, including 18,265 cases with cirrhosis, 1,782,047 controls, up to 1 million individuals with liver function tests and a validation cohort of 21,689 cases and 617,729 controls, we identify and validate 14 risk associations for cirrhosis. Many variants are located near genes involved in hepatic lipid metabolism. One of these, PNPLA3 p.Ile148Met, interacts with alcohol intake, obesity and diabetes on the risk of cirrhosis and hepatocellular carcinoma (HCC). We develop a polygenic risk score that associates with the progression from cirrhosis to HCC. By focusing on prioritized genes from common variant analyses, we find that rare coding variants in GPAM associate with lower ALT, supporting GPAM as a potential target for therapeutic inhibition. In conclusion, this study provides insights into the genetic underpinnings of cirrhosis.

Published
2024

2. Genome-wide association meta-analysis identifies five loci associated with postpartum hemorrhage

Author

Westergaard, David, Steinthorsdottir, Valgerdur, Stefansdottir, Lilja, Rohde, Palle Duun, Wu, Xiaoping, Geller, Frank, Tyrmi, Jaakko, Havulinna, Aki S., Solé-Navais, Pol, Flatley, Christopher, Ostrowski, Sisse Rye, Pedersen, Ole Birger, Erikstrup, Christian, Sørensen, Erik, Mikkelsen, Christina, Bruun, Mie Topholm, Aagaard Jensen, Bitten, Brodersen, Thorsten, Ullum, Henrik, Magnus, Per, Andreassen, Ole A., Njolstad, Pål R., Kolte, Astrid Marie, Krebs, Lone, Nyegaard, Mette, Hansen, Thomas Folkmann, Feenstra, Bjarke, Daly, Mark, Lindgren, Cecilia M., Thorleifsson, Gudmar, Stefansson, Olafur A., Sveinbjornsson, Gardar, Gudbjartsson, Daniel F., Thorsteinsdottir, Unnur, Banasik, Karina, Jacobsson, Bo, Laisk, Triin, Laivuori, Hannele, Stefansson, Kari, Brunak, Søren, and Nielsen, Henriette Svarre

Published
2024
Full Text
View/download PDF

3. Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants.

Author

Wang, Anqi, Shen, Jiayi, Rodriguez, Alex, Saunders, Edward, Chen, Fei, Janivara, Rohini, Darst, Burcu, Sheng, Xin, Xu, Yili, Chou, Alisha, Benlloch, Sara, Dadaev, Tokhir, Brook, Mark, Plym, Anna, Sahimi, Ali, Hoffman, Thomas, Takahashi, Atushi, Matsuda, Koichi, Momozawa, Yukihide, Fujita, Masashi, Laisk, Triin, Figuerêdo, Jéssica, Muir, Kenneth, Ito, Shuji, Liu, Xiaoxi, Uchio, Yuji, Kubo, Michiaki, Kamatani, Yoichiro, Lophatananon, Artitaya, Wan, Peggy, Andrews, Caroline, Lori, Adriana, Choudhury, Parichoy, Schleutker, Johanna, Tammela, Teuvo, Sipeky, Csilla, Auvinen, Anssi, Giles, Graham, Southey, Melissa, MacInnis, Robert, Cybulski, Cezary, Wokolorczyk, Dominika, Lubinski, Jan, Rentsch, Christopher, Cho, Kelly, Mcmahon, Benjamin, Neal, David, Donovan, Jenny, Hamdy, Freddie, Martin, Richard, Nordestgaard, Borge, Nielsen, Sune, Weischer, Maren, Bojesen, Stig, Røder, Andreas, Stroomberg, Hein, Batra, Jyotsna, Chambers, Suzanne, Horvath, Lisa, Clements, Judith, Tilly, Wayne, Risbridger, Gail, Gronberg, Henrik, Aly, Markus, Szulkin, Robert, Eklund, Martin, Nordstrom, Tobias, Pashayan, Nora, Dunning, Alison, Ghoussaini, Maya, Travis, Ruth, Key, Tim, Riboli, Elio, Park, Jong, Sellers, Thomas, Lin, Hui-Yi, Albanes, Demetrius, Weinstein, Stephanie, Cook, Michael, Mucci, Lorelei, Giovannucci, Edward, Lindstrom, Sara, Kraft, Peter, Hunter, David, Penney, Kathryn, Turman, Constance, Tangen, Catherine, Goodman, Phyllis, Thompson, Ian, Hamilton, Robert, Fleshner, Neil, Finelli, Antonio, Parent, Marie-Élise, Stanford, Janet, Ostrander, Elaine, Koutros, Stella, Beane Freeman, Laura, Stampfer, Meir, Wolk, Alicja, and Håkansson, Niclas

Subjects
Humans, Male, Black People, Genetic Predisposition to Disease, Genome-Wide Association Study, Hispanic or Latino, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Risk Factors, White People, Asian People
Abstract

The transferability and clinical value of genetic risk scores (GRSs) across populations remain limited due to an imbalance in genetic studies across ancestrally diverse populations. Here we conducted a multi-ancestry genome-wide association study of 156,319 prostate cancer cases and 788,443 controls of European, African, Asian and Hispanic men, reflecting a 57% increase in the number of non-European cases over previous prostate cancer genome-wide association studies. We identified 187 novel risk variants for prostate cancer, increasing the total number of risk variants to 451. An externally replicated multi-ancestry GRS was associated with risk that ranged from 1.8 (per standard deviation) in African ancestry men to 2.2 in European ancestry men. The GRS was associated with a greater risk of aggressive versus non-aggressive disease in men of African ancestry (P = 0.03). Our study presents novel prostate cancer susceptibility loci and a GRS with effective risk stratification across ancestry groups.

Published
2023

5. Body mass index stratified meta-analysis of genome-wide association studies of polycystic ovary syndrome in women of European ancestry

Author

Burns, Kharis, Mullin, Benjamin H., Moolhuijsen, Loes M. E., Laisk, Triin, Tyrmi, Jaakko S., Cui, Jinrui, Actkins, Ky’Era V., Louwers, Yvonne V., Davis, Lea K., Dudbridge, Frank, Azziz, Ricardo, Goodarzi, Mark O., Laivuori, Hannele, Mägi, Reedik, Visser, Jenny A., Laven, Joop S. E., Wilson, Scott G., Day, Felix R., and Stuckey, Bronwyn G. A.

Published
2024
Full Text
View/download PDF

6. Enhancing Cross-Institute Generalisation of GNNs in Histopathology Through Multiple Embedding Graph Augmentation (MEGA)

Author

Campbell, Jonathan, Vanea, Claudia, Salumäe, Liis, Meir, Karen, Hochner-Celnikier, Drorith, Hochner, Hagit, Laisk, Triin, Ernst, Linda M., Lindgren, Cecilia M., Xie, Weidi, Nellåker, Christoffer, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yap, Moi Hoon, editor, Kendrick, Connah, editor, Behera, Ardhendu, editor, Cootes, Timothy, editor, and Zwiggelaar, Reyer, editor

Published
2024
Full Text
View/download PDF

7. A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs

Author

Vanea, Claudia, Campbell, Jonathan, Dodi, Omri, Salumäe, Liis, Meir, Karen, Hochner-Celnikier, Drorith, Hochner, Hagit, Laisk, Triin, Ernst, Linda M., Lindgren, Cecilia M., and Nellåker, Christoffer

Subjects
Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing, I.2.6
Abstract

We introduce a new benchmark dataset, Placenta, for node classification in an underexplored domain: predicting microanatomical tissue structures from cell graphs in placenta histology whole slide images. This problem is uniquely challenging for graph learning for a few reasons. Cell graphs are large (>1 million nodes per image), node features are varied (64-dimensions of 11 types of cells), class labels are imbalanced (9 classes ranging from 0.21% of the data to 40.0%), and cellular communities cluster into heterogeneously distributed tissues of widely varying sizes (from 11 nodes to 44,671 nodes for a single structure). Here, we release a dataset consisting of two cell graphs from two placenta histology images totalling 2,395,747 nodes, 799,745 of which have ground truth labels. We present inductive benchmark results for 7 scalable models and show how the unique qualities of cell graphs can help drive the development of novel graph neural network architectures., Comment: Last two authors contributed equally. To be published at New Frontiers In Graph Learning, Neurips 2022

Published
2022

8. Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease

Author

Zhou, Wei, Kanai, Masahiro, Wu, Kuan-Han H, Rasheed, Humaira, Tsuo, Kristin, Hirbo, Jibril B, Wang, Ying, Bhattacharya, Arjun, Zhao, Huiling, Namba, Shinichi, Surakka, Ida, Wolford, Brooke N, Faro, Valeria Lo, Lopera-Maya, Esteban A, Läll, Kristi, Favé, Marie-Julie, Partanen, Juulia J, Chapman, Sinéad B, Karjalainen, Juha, Kurki, Mitja, Maasha, Mutaamba, Brumpton, Ben M, Chavan, Sameer, Chen, Tzu-Ting, Daya, Michelle, Ding, Yi, Feng, Yen-Chen A, Guare, Lindsay A, Gignoux, Christopher R, Graham, Sarah E, Hornsby, Whitney E, Ingold, Nathan, Ismail, Said I, Johnson, Ruth, Laisk, Triin, Lin, Kuang, Lv, Jun, Millwood, Iona Y, Moreno-Grau, Sonia, Nam, Kisung, Palta, Priit, Pandit, Anita, Preuss, Michael H, Saad, Chadi, Setia-Verma, Shefali, Thorsteinsdottir, Unnur, Uzunovic, Jasmina, Verma, Anurag, Zawistowski, Matthew, Zhong, Xue, Afifi, Nahla, Al-Dabhani, Kawthar M, Thani, Asma Al, Bradford, Yuki, Campbell, Archie, Crooks, Kristy, de Bock, Geertruida H, Damrauer, Scott M, Douville, Nicholas J, Finer, Sarah, Fritsche, Lars G, Fthenou, Eleni, Gonzalez-Arroyo, Gilberto, Griffiths, Christopher J, Guo, Yu, Hunt, Karen A, Ioannidis, Alexander, Jansonius, Nomdo M, Konuma, Takahiro, Lee, Ming Ta Michael, Lopez-Pineda, Arturo, Matsuda, Yuta, Marioni, Riccardo E, Moatamed, Babak, Nava-Aguilar, Marco A, Numakura, Kensuke, Patil, Snehal, Rafaels, Nicholas, Richmond, Anne, Rojas-Muñoz, Agustin, Shortt, Jonathan A, Straub, Peter, Tao, Ran, Vanderwerff, Brett, Vernekar, Manvi, Veturi, Yogasudha, Barnes, Kathleen C, Boezen, Marike, Chen, Zhengming, Chen, Chia-Yen, Cho, Judy, Smith, George Davey, Finucane, Hilary K, Franke, Lude, Gamazon, Eric R, Ganna, Andrea, Gaunt, Tom R, Ge, Tian, Huang, Hailiang, and Huffman, Jennifer

Subjects
Human Genome, Genetics, Biotechnology, Generic health relevance, Good Health and Well Being, Biobank of the Americas, Biobank Japan Project, BioMe, BioVU, CanPath - Ontario Health Study, China Kadoorie Biobank Collaborative Group, Colorado Center for Personalized Medicine, deCODE Genetics, Estonian Biobank, FinnGen, Generation Scotland, Genes & Health Research Team, LifeLines, Mass General Brigham Biobank, Michigan Genomics Initiative, National Biobank of Korea, Penn Medicine BioBank, Qatar Biobank, QSkin Sun and Health Study, Taiwan Biobank, HUNT Study, UCLA ATLAS Community Health Initiative, Uganda Genome Resource, UK Biobank, GWAS, ancestry diversity, biobank, genetic association studies, meta-analysis, phenotype harmonization
Abstract

Biobanks facilitate genome-wide association studies (GWASs), which have mapped genomic loci across a range of human diseases and traits. However, most biobanks are primarily composed of individuals of European ancestry. We introduce the Global Biobank Meta-analysis Initiative (GBMI)-a collaborative network of 23 biobanks from 4 continents representing more than 2.2 million consented individuals with genetic data linked to electronic health records. GBMI meta-analyzes summary statistics from GWASs generated using harmonized genotypes and phenotypes from member biobanks for 14 exemplar diseases and endpoints. This strategy validates that GWASs conducted in diverse biobanks can be integrated despite heterogeneity in case definitions, recruitment strategies, and baseline characteristics. This collaborative effort improves GWAS power for diseases, benefits understudied diseases, and improves risk prediction while also enabling the nomination of disease genes and drug candidates by incorporating gene and protein expression data and providing insight into the underlying biology of human diseases and traits.

Published
2022

11. Thrombosis risk in single- and double-heterozygous carriers of factor V Leiden and prothrombin G20210A in FinnGen and the UK Biobank

Author

Palotie, Aarno, Daly, Mark, Riley-Gills, Bridget, Jacob, Howard, Viollet, Coralie, Petrovski, Slavé, Chen, Chia-Yen, John, Sally, Okafo, George, Plenge, Robert, Maranville, Joseph, McCarthy, Mark, Pendergrass, Rion, Ehm, Margaret G., Auro, Kirsi, Longerich, Simonne, Mälarstig, Anders, Vlahiotis, Anna, Klinger, Katherine, Chatelain, Clement, Gossel, Matthias, Estrada, Karol, Graham, Robert, Waterworth, Dawn, O´Donnell, Chris, Renaud, Nicole, Mäkelä, Tomi P., Kaprio, Jaakko, Ruddock, Minna, Virolainen, Petri, Hakanen, Antti, Kilpi, Terhi, Perola, Markus, Partanen, Jukka, Raivio, Taneli, Tikkanen, Jani, Serpi, Raisa, Kristiansson, Kati, Kosma, Veli-Matti, Laukkanen, Jari, Hautalahti, Marco, Tuovila, Outi, Waring, Jeffrey, Riley-Gillis, Bridget, Rahimov, Fedik, Tachmazidou, Ioanna, Ding, Zhihao, Jung, Marc, Tuoken, Hanati, Biswas, Shameek, Pulford, David, Raghavan, Neha, Huertas-Vazquez, Adriana, Sul, Jae-Hoon, Hu, Xinli, Hedman, Åsa, Obeidat, Ma´en, Chung, Jonathan, Zierer, Jonas, Niemi, Mari, Ripatti, Samuli, Schleutker, Johanna, Arvas, Mikko, Carpén, Olli, Hinttala, Reetta, Kettunen, Johannes, Mannermaa, Arto, Aalto-Setälä, Katriina, Kähönen, Mika, Mäkelä, Johanna, Kälviäinen, Reetta, Julkunen, Valtteri, Soininen, Hilkka, Remes, Anne, Hiltunen, Mikko, Peltola, Jukka, Raivio, Minna, Tienari, Pentti, Rinne, Juha, Kallionpää, Roosa, Partanen, Juulia, Ziemann, Adam, Smaoui, Nizar, Lehtonen, Anne, Eaton, Susan, Runz, Heiko, Lahdenperä, Sanni, Bowers, Natalie, Teng, Edmond, Xu, Fanli, Addis, Laura, Eicher, John, Li, Qingqin S., He, Karen, Khramtsova, Ekaterina, Färkkilä, Martti, Koskela, Jukka, Pikkarainen, Sampsa, Jussila, Airi, Kaukinen, Katri, Blomster, Timo, Kiviniemi, Mikko, Voutilainen, Markku, Lu, Tim, McCarthy, Linda, Hart, Amy, Guan, Meijian, Miller, Jason, Kalpala, Kirsi, Miller, Melissa, Eklund, Kari, Palomäki, Antti, Isomäki, Pia, Pirilä, Laura, Kaipiainen-Seppänen, Oili, Huhtakangas, Johanna, Mars, Nina, Lertratanakul, Apinya, Hochfeld, Marla, Gordillo, Jorge Esparza, Farias, Fabiana, Bing, Nan, Laitinen, Tarja, Pelkonen, Margit, Kauppi, Paula, Kankaanranta, Hannu, Harju, Terttu, Lahesmaa, Riitta, Chen, Hubert, Betts, Joanna, Mishra, Rajashree, Mouded, Majd, Ngo, Debby, Niiranen, Teemu, Vaura, Felix, Salomaa, Veikko, Metsärinne, Kaj, Aittokallio, Jenni, Hernesniemi, Jussi, Gordin, Daniel, Sinisalo, Juha, Taskinen, Marja-Riitta, Tuomi, Tiinamaija, Hiltunen, Timo, Elliott, Amanda, Reeve, Mary Pat, Ruotsalainen, Sanni, Paul, Dirk, Chu, Audrey, Reilly, Dermot, Mendelson, Mike, Parkkinen, Jaakko, Meretoja, Tuomo, Joensuu, Heikki, Mattson, Johanna, Salminen, Eveliina, Auranen, Annika, Karihtala, Peeter, Auvinen, Päivi, Elenius, Klaus, Pitkänen, Esa, Popovic, Relja, Fabre, Margarete, Schutzman, Jennifer, Kulkarni, Diptee, Porello, Alessandro, Loboda, Andrey, Lehtonen, Heli, McDonough, Stefan, Vuoti, Sauli, Kaarniranta, Kai, Turunen, Joni A., Ollila, Terhi, Uusitalo, Hannu, Karjalainen, Juha, Liu, Mengzhen, Loomis, Stephanie, Strauss, Erich, Chen, Hao, Tasanen, Kaisa, Huilaja, Laura, Hannula-Jouppi, Katariina, Salmi, Teea, Peltonen, Sirkku, Koulu, Leena, Choy, David, Wu, Ying, Pussinen, Pirkko, Salminen, Aino, Salo, Tuula, Rice, David, Nieminen, Pekka, Palotie, Ulla, Siponen, Maria, Suominen, Liisa, Mäntylä, Päivi, Gursoy, Ulvi, Anttonen, Vuokko, Sipilä, Kirsi, Laivuori, Hannele, Kurra, Venla, Kotaniemi-Talonen, Laura, Heikinheimo, Oskari, Kalliala, Ilkka, Aaltonen, Lauri, Jokimaa, Varpu, Vääräsmäki, Marja, Uimari, Outi, Morin-Papunen, Laure, Niinimäki, Maarit, Piltonen, Terhi, Kivinen, Katja, Widen, Elisabeth, Tukiainen, Taru, Välimäki, Niko, Laakkonen, Eija, Tyrmi, Jaakko, Silven, Heidi, Sliz, Eeva, Arffman, Riikka, Savukoski, Susanna, Laisk, Triin, Pujol, Natalia, Kumar, Janet, Hovatta, Iiris, Isometsä, Erkki, Ollila, Hanna, Suvisaari, Jaana, Mäkitie, Antti, Bizaki-Vallaskangas, Argyro, Toppila-Salmi, Sanna, Willberg, Tytti, Saarentaus, Elmo, Aarnisalo, Antti, Rahikkala, Elisa, Aittomäki, Kristiina, Åberg, Fredrik, Kurki, Mitja, Havulinna, Aki, Mehtonen, Juha, Palta, Priit, Hassan, Shabbeer, Della Briotta Parolo, Pietro, Zhou, Wei, Maasha, Mutaamba, Lemmelä, Susanna, Rivas, Manuel, Liu, Aoxing, Lehisto, Arto, Ganna, Andrea, Llorens, Vincent, Heyne, Henrike, Rämö, Joel, Rodosthenous, Rodos, Strausz, Satu, Palotie, Tuula, Palin, Kimmo, Garcia-Tabuenca, Javier, Siirtola, Harri, Kiiskinen, Tuomo, Lee, Jiwoo, Tsuo, Kristin, Hyvärinen, Kati, Ritari, Jarmo, Pylkäs, Katri, Karjalainen, Minna, Mantere, Tuomo, Kangasniemi, Eeva, Heikkinen, Sami, Pitkänen, Nina, Lessard, Samuel, Chatelain, Clément, Kallio, Lila, Wahlfors, Tiina, Punkka, Eero, Siltanen, Sanna, Kuopio, Teijo, Jalanko, Anu, Shen, Huei-Yi, Kajanne, Risto, Aavikko, Mervi, Cooper, Helen, Öller, Denise, Leinonen, Rasko, Palin, Henna, Linna, Malla-Maria, Kanai, Masahiro, Zheng, Zhili, Lahtela, L. Elisa, Kaunisto, Mari, Kilpeläinen, Elina, Sipilä, Timo P., Dada, Oluwaseun Alexander, Ghazal, Awaisa, Kytölä, Anastasia, Weldatsadik, Rigbe, Donner, Kati, Loukola, Anu, Laiho, Päivi, Sistonen, Tuuli, Kaiharju, Essi, Laukkanen, Markku, Järvensivu, Elina, Lähteenmäki, Sini, Männikkö, Lotta, Wong, Regis, Toivola, Auli, Brunfeldt, Minna, Mattsson, Hannele, Koskelainen, Sami, Hiekkalinna, Tero, Paajanen, Teemu, Luo, Shuang, Padmanabhuni, Shanmukha Sampath, Niemi, Marianna, Gracia-Tabuenca, Javier, Helminen, Mika, Luukkaala, Tiina, Vähätalo, Iida, Tammerluoto, Jyrki, Smith, Sarah, Southerington, Tom, Lehto, Petri, Ryu, Justine, Rämö, Joel T., Jurgens, Sean J., Sanna-Cherchi, Simone, Bauer, Kenneth A., Haj, Amelia, Choi, Seung Hoan, Ellinor, Patrick T., and Bendapudi, Pavan K.

Published
2024
Full Text
View/download PDF

13. Polygenic prediction of preeclampsia and gestational hypertension

Author

Honigberg, Michael C., Truong, Buu, Khan, Raiyan R., Xiao, Brenda, Bhatta, Laxmi, Vy, Ha My T., Guerrero, Rafael F., Schuermans, Art, Selvaraj, Margaret Sunitha, Patel, Aniruddh P., Koyama, Satoshi, Cho, So Mi Jemma, Vellarikkal, Shamsudheen Karuthedath, Trinder, Mark, Urbut, Sarah M., Gray, Kathryn J., Brumpton, Ben M., Patil, Snehal, Zöllner, Sebastian, Antopia, Mariah C., Saxena, Richa, Nadkarni, Girish N., Do, Ron, Yan, Qi, Pe’er, Itsik, Verma, Shefali Setia, Gupta, Rajat M., Haas, David M., Martin, Hilary C., van Heel, David A., Laisk, Triin, and Natarajan, Pradeep

Published
2023
Full Text
View/download PDF

14. High-Resolution Genotyping of Formalin-Fixed Tissue Accurately Estimates Polygenic Risk Scores in Human Diseases

Author

Palotie, Aarno, Daly, Mark, Riley-Gills, Bridget, Jacob, Howard, Paul, Dirk, Petrovski, Slavé, Runz, Heiko, John, Sally, Okafo, George, Lawless, Nathan, Salminen-Mankonen, Heli, Plenge, Robert, Maranville, Joseph, McCarthy, Mark, Ehm, Margaret G., Auro, Kirsi, Longerich, Simonne, Mälarstig, Anders, Klinger, Katherine, Chatelain, Clement, Gossel, Matthias, Estrada, Karol, Graham, Robert, Yang, Robert, ODonnell, Chris, Mäkelä, Tomi P., Kaprio, Jaakko, Virolainen, Petri, Hakanen, Antti, Kilpi, Terhi, Perola, Markus, Partanen, Jukka, Pitkäranta, Anne, Raivio, Taneli, Tikkanen, Jani, Serpi, Raisa, Laitinen, Tarja, Kosma, Veli-Matti, Laukkanen, Jari, Hautalahti, Marco, Tuovila, Outi, Pakkanen, Raimo, Waring, Jeffrey, Riley-Gillis, Bridget, Rahimov, Fedik, Tachmazidou, Ioanna, Chen, Chia-Yen, Ding, Zhihao, Jung, Marc, Biswas, Shameek, Pendergrass, Rion, Pulford, David, Raghavan, Neha, Huertas-Vazquez, Adriana, Sul, Jae-Hoon, Hu, Xinli, Hedman, Åsa, Rivas, Manuel, Waterworth, Dawn, Renaud, Nicole, Obeidat, Maen, Ripatti, Samuli, Schleutker, Johanna, Arvas, Mikko, Carpén, Olli, Hinttala, Reetta, Kettunen, Johannes, Mannermaa, Arto, Aalto-Setälä, Katriina, Kähönen, Mika, Mäkelä, Johanna, Kälviäinen, Reetta, Julkunen, Valtteri, Soininen, Hilkka, Remes, Anne, Hiltunen, Mikko, Peltola, Jukka, Raivio, Minna, Tienari, Pentti, Rinne, Juha, Kallionpää, Roosa, Partanen, Juulia, Abbasi, Ali, Ziemann, Adam, Smaoui, Nizar, Lehtonen, Anne, Eaton, Susan, Lahdenperä, Sanni, Bowers, Natalie, Teng, Edmond, Xu, Fanli, Addis, Laura, Eicher, John, Li, Qingqin S., He, Karen, Khramtsova, Ekaterina, Färkkilä, Martti, Koskela, Jukka, Pikkarainen, Sampsa, Jussila, Airi, Kaukinen, Katri, Blomster, Timo, Kiviniemi, Mikko, Voutilainen, Markku, Lu, Tim, McCarthy, Linda, Hart, Amy, Guan, Meijian, Miller, Jason, Kalpala, Kirsi, Miller, Melissa, Eklund, Kari, Palomäki, Antti, Isomäki, Pia, Pirilä, Laura, Kaipiainen-Seppänen, Oili, Huhtakangas, Johanna, Mars, Nina, Lertratanakul, Apinya, Viollet, Coralie, Hochfeld, Marla, Gordillo, Jorge Esparza, Farias, Fabiana, Bing, Nan, Pelkonen, Margit, Kauppi, Paula, Kankaanranta, Hannu, Harju, Terttu, Lahesmaa, Riitta, Chen, Hubert, Betts, Joanna, Mishra, Rajashree, Mouded, Majd, Ngo, Debby, Niiranen, Teemu, Vaura, Felix, Salomaa, Veikko, Metsärinne, Kaj, Aittokallio, Jenni, Hernesniemi, Jussi, Gordin, Daniel, Sinisalo, Juha, Taskinen, Marja-Riitta, Tuomi, Tiinamaija, Hiltunen, Timo, Elliott, Amanda, Reeve, Mary Pat, Ruotsalainen, Sanni, Chu, Audrey, Reilly, Dermot, Mendelson, Mike, Parkkinen, Jaakko, Meretoja, Tuomo, Joensuu, Heikki, Mattson, Johanna, Salminen, Eveliina, Auranen, Annika, Karihtala, Peeter, Auvinen, Päivi, Elenius, Klaus, Pitkänen, Esa, Popovic, Relja, Fabre, Margarete, Schutzman, Jennifer, Kulkarni, Diptee, Porello, Alessandro, Loboda, Andrey, Lehtonen, Heli, McDonough, Stefan, Vuoti, Sauli, Kaarniranta, Kai, Turunen, Joni A., Ollila, Terhi, Uusitalo, Hannu, Karjalainen, Juha, Liu, Mengzhen, Loomis, Stephanie, Strauss, Erich, Chen, Hao, Tasanen, Kaisa, Huilaja, Laura, Hannula-Jouppi, Katariina, Salmi, Teea, Peltonen, Sirkku, Koulu, Leena, Choy, David, Wu, Ying, Pussinen, Pirkko, Salminen, Aino, Salo, Tuula, Rice, David, Nieminen, Pekka, Palotie, Ulla, Siponen, Maria, Suominen, Liisa, Mäntylä, Päivi, Gursoy, Ulvi, Anttonen, Vuokko, Sipilä, Kirsi, Laivuori, Hannele, Kurra, Venla, Kotaniemi-Talonen, Laura, Heikinheimo, Oskari, Kalliala, Ilkka, Aaltonen, Lauri, Jokimaa, Varpu, Vääräsmäki, Marja, Uimari, Outi, Morin-Papunen, Laure, Niinimäki, Maarit, Piltonen, Terhi, Kivinen, Katja, Widen, Elisabeth, Tukiainen, Taru, Välimäki, Niko, Laakkonen, Eija, Tyrmi, Jaakko, Silven, Heidi, Sliz, Eeva, Arffman, Riikka, Savukoski, Susanna, Laisk, Triin, Pujol, Natalia, Kumar, Janet, Hovatta, Iiris, Isometsä, Erkki, Ollila, Hanna, Suvisaari, Jaana, Als, Thomas Damm, Mäkitie, Antti, Bizaki-Vallaskangas, Argyro, Toppila-Salmi, Sanna, Willberg, Tytti, Saarentaus, Elmo, Aarnisalo, Antti, Rahikkala, Elisa, Aittomäki, Kristiina, Åberg, Fredrik, Kurki, Mitja, Havulinna, Aki, Mehtonen, Juha, Palta, Priit, Hassan, Shabbeer, Della Briotta Parolo, Pietro, Zhou, Wei, Maasha, Mutaamba, Lemmelä, Susanna, Liu, Aoxing, Lehisto, Arto, Ganna, Andrea, Llorens, Vincent, Heyne, Henrike, Rämö, Joel, Rodosthenous, Rodos, Strausz, Satu, Palotie, Tuula, Palin, Kimmo, Garcia-Tabuenca, Javier, Siirtola, Harri, Kiiskinen, Tuomo, Lee, Jiwoo, Tsuo, Kristin, Kristiansson, Kati, Hyvärinen, Kati, Ritari, Jarmo, Pylkäs, Katri, Karjalainen, Minna, Mantere, Tuomo, Kangasniemi, Eeva, Heikkinen, Sami, Pitkänen, Nina, Lessard, Samuel, Chatelain, Clément, Kallio, Lila, Wahlfors, Tiina, Punkka, Eero, Siltanen, Sanna, Kuopio, Teijo, Jalanko, Anu, Shen, Huei-Yi, Kajanne, Risto, Aavikko, Mervi, Cooper, Helen, Öller, Denise, Leinonen, Rasko, Palin, Henna, Linna, Malla-Maria, Kanai, Masahiro, Zheng, Zhili, Lahtela, L. Elisa, Kaunisto, Mari, Kilpeläinen, Elina, Sipilä, Timo P., Dada, Oluwaseun Alexander, Ghazal, Awaisa, Kytölä, Anastasia, Weldatsadik, Rigbe, Donner, Kati, Loukola, Anu, Laiho, Päivi, Sistonen, Tuuli, Kaiharju, Essi, Laukkanen, Markku, Järvensivu, Elina, Lähteenmäki, Sini, Männikkö, Lotta, Wong, Regis, Toivola, Auli, Brunfeldt, Minna, Mattsson, Hannele, Koskelainen, Sami, Hiekkalinna, Tero, Paajanen, Teemu, Pärn, Kalle, Kals, Mart, Luo, Shuang, Padmanabhuni, Shanmukha Sampath, Niemi, Marianna, Gracia-Tabuenca, Javier, Helminen, Mika, Luukkaala, Tiina, Vähätalo, Iida, Tammerluoto, Jyrki, Smith, Sarah, Southerington, Tom, Lehto, Petri, Youssef, Omar, Zidi-Mouaffak, Yossra H.S., and Tamlander, Max

Published
2024
Full Text
View/download PDF

16. Genetic effects on the timing of parturition and links to fetal birth weight

Author

Solé-Navais, Pol, Flatley, Christopher, Steinthorsdottir, Valgerdur, Vaudel, Marc, Juodakis, Julius, Chen, Jing, Laisk, Triin, LaBella, Abigail L., Westergaard, David, Bacelis, Jonas, Brumpton, Ben, Skotte, Line, Borges, Maria C., Helgeland, Øyvind, Mahajan, Anubha, Wielscher, Matthias, Lin, Frederick, Briggs, Catherine, Wang, Carol A., Moen, Gunn-Helen, Beaumont, Robin N., Bradfield, Jonathan P., Abraham, Abin, Thorleifsson, Gudmar, Gabrielsen, Maiken E., Ostrowski, Sisse R., Modzelewska, Dominika, Nohr, Ellen A., Hypponen, Elina, Srivastava, Amit, Talbot, Octavious, Allard, Catherine, Williams, Scott M., Menon, Ramkumar, Shields, Beverley M., Sveinbjornsson, Gardar, Xu, Huan, Melbye, Mads, Lowe, Jr, William, Bouchard, Luigi, Oken, Emily, Pedersen, Ole B., Gudbjartsson, Daniel F., Erikstrup, Christian, Sørensen, Erik, Lie, Rolv T., Teramo, Kari, Hallman, Mikko, Juliusdottir, Thorhildur, Hakonarson, Hakon, Ullum, Henrik, Hattersley, Andrew T., Sletner, Line, Merialdi, Mario, Rifas-Shiman, Sheryl L., Steingrimsdottir, Thora, Scholtens, Denise, Power, Christine, West, Jane, Nyegaard, Mette, Capra, John A., Skogholt, Anne H., Magnus, Per, Andreassen, Ole A., Thorsteinsdottir, Unnur, Grant, Struan F. A., Qvigstad, Elisabeth, Pennell, Craig E., Hivert, Marie-France, Hayes, Geoffrey M., Jarvelin, Marjo-Riitta, McCarthy, Mark I., Lawlor, Deborah A., Nielsen, Henriette S., Mägi, Reedik, Rokas, Antonis, Hveem, Kristian, Stefansson, Kari, Feenstra, Bjarke, Njolstad, Pål, Muglia, Louis J., Freathy, Rachel M., Johansson, Stefan, Zhang, Ge, and Jacobsson, Bo

Published
2023
Full Text
View/download PDF

17. FinnGen provides genetic insights from a well-phenotyped isolated population

Author

Kurki, Mitja I., Karjalainen, Juha, Palta, Priit, Sipilä, Timo P., Kristiansson, Kati, Donner, Kati M., Reeve, Mary P., Laivuori, Hannele, Aavikko, Mervi, Kaunisto, Mari A., Loukola, Anu, Lahtela, Elisa, Mattsson, Hannele, Laiho, Päivi, Della Briotta Parolo, Pietro, Lehisto, Arto A., Kanai, Masahiro, Mars, Nina, Rämö, Joel, Kiiskinen, Tuomo, Heyne, Henrike O., Veerapen, Kumar, Rüeger, Sina, Lemmelä, Susanna, Zhou, Wei, Ruotsalainen, Sanni, Pärn, Kalle, Hiekkalinna, Tero, Koskelainen, Sami, Paajanen, Teemu, Llorens, Vincent, Gracia-Tabuenca, Javier, Siirtola, Harri, Reis, Kadri, Elnahas, Abdelrahman G., Sun, Benjamin, Foley, Christopher N., Aalto-Setälä, Katriina, Alasoo, Kaur, Arvas, Mikko, Auro, Kirsi, Biswas, Shameek, Bizaki-Vallaskangas, Argyro, Carpen, Olli, Chen, Chia-Yen, Dada, Oluwaseun A., Ding, Zhihao, Ehm, Margaret G., Eklund, Kari, Färkkilä, Martti, Finucane, Hilary, Ganna, Andrea, Ghazal, Awaisa, Graham, Robert R., Green, Eric M., Hakanen, Antti, Hautalahti, Marco, Hedman, Åsa K., Hiltunen, Mikko, Hinttala, Reetta, Hovatta, Iiris, Hu, Xinli, Huertas-Vazquez, Adriana, Huilaja, Laura, Hunkapiller, Julie, Jacob, Howard, Jensen, Jan-Nygaard, Joensuu, Heikki, John, Sally, Julkunen, Valtteri, Jung, Marc, Junttila, Juhani, Kaarniranta, Kai, Kähönen, Mika, Kajanne, Risto, Kallio, Lila, Kälviäinen, Reetta, Kaprio, Jaakko, Kerimov, Nurlan, Kettunen, Johannes, Kilpeläinen, Elina, Kilpi, Terhi, Klinger, Katherine, Kosma, Veli-Matti, Kuopio, Teijo, Kurra, Venla, Laisk, Triin, Laukkanen, Jari, Lawless, Nathan, Liu, Aoxing, Longerich, Simonne, Mägi, Reedik, Mäkelä, Johanna, Mäkitie, Antti, Malarstig, Anders, Mannermaa, Arto, Maranville, Joseph, Matakidou, Athena, Meretoja, Tuomo, Mozaffari, Sahar V., Niemi, Mari E. K., Niemi, Marianna, Niiranen, Teemu, O´Donnell, Christopher J., Obeidat, Ma´en, Okafo, George, Ollila, Hanna M., Palomäki, Antti, Palotie, Tuula, Partanen, Jukka, Paul, Dirk S., Pelkonen, Margit, Pendergrass, Rion K., Petrovski, Slavé, Pitkäranta, Anne, Platt, Adam, Pulford, David, Punkka, Eero, Pussinen, Pirkko, Raghavan, Neha, Rahimov, Fedik, Rajpal, Deepak, Renaud, Nicole A., Riley-Gillis, Bridget, Rodosthenous, Rodosthenis, Saarentaus, Elmo, Salminen, Aino, Salminen, Eveliina, Salomaa, Veikko, Schleutker, Johanna, Serpi, Raisa, Shen, Huei-yi, Siegel, Richard, Silander, Kaisa, Siltanen, Sanna, Soini, Sirpa, Soininen, Hilkka, Sul, Jae Hoon, Tachmazidou, Ioanna, Tasanen, Kaisa, Tienari, Pentti, Toppila-Salmi, Sanna, Tukiainen, Taru, Tuomi, Tiinamaija, Turunen, Joni A., Ulirsch, Jacob C., Vaura, Felix, Virolainen, Petri, Waring, Jeffrey, Waterworth, Dawn, Yang, Robert, Nelis, Mari, Reigo, Anu, Metspalu, Andres, Milani, Lili, Esko, Tõnu, Fox, Caroline, Havulinna, Aki S., Perola, Markus, Ripatti, Samuli, Jalanko, Anu, Laitinen, Tarja, Mäkelä, Tomi P., Plenge, Robert, McCarthy, Mark, Runz, Heiko, Daly, Mark J., and Palotie, Aarno

Published
2023
Full Text
View/download PDF

18. The public health impact of poor sleep on severe COVID-19, influenza and upper respiratory infections

Author

Palotie, Aarno, Daly, Mark, Riley-Gills, Bridget, Jacob, Howard, Paul, Dirk, Petrovski, Slavé, Runz, Heiko, John, Sally, Okafo, George, Lawless, Nathan, Salminen-Mankonen, Heli, Plenge, Robert, Maranville, Joseph, McCarthy, Mark, Ehm, Margaret G., Auro, Kirsi, Longerich, Simonne, Mälarstig, Anders, Klinger, Katherine, Chatelain, Clement, Gossel, Matthias, Estrada, Karol, Graham, Robert, Yang, Robert, O´Donnell, Chris, Mäkelä, Tomi P., Kaprio, Jaakko, Virolainen, Petri, Hakanen, Antti, Kilpi, Terhi, Perola, Markus, Partanen, Jukka, Pitkäranta, Anne, Raivio, Taneli, Tikkanen, Jani, Serpi, Raisa, Laitinen, Tarja, Kosma, Veli-Matti, Laukkanen, Jari, Hautalahti, Marco, Tuovila, Outi, Pakkanen, Raimo, Waring, Jeffrey, Riley-Gillis, Bridget, Rahimov, Fedik, Tachmazidou, Ioanna, Chen, Chia-Yen, Ding, Zhihao, Jung, Marc, Biswas, Shameek, Pendergrass, Rion, Pulford, David, Raghavan, Neha, Huertas-Vazquez, Adriana, Sul, Jae-Hoon, Hu, Xinli, Hedman, Åsa, Rivas, Manuel, Waterworth, Dawn, Renaud, Nicole, Obeidat, Ma´en, Ripatti, Samuli, Schleutker, Johanna, Arvas, Mikko, Carpén, Olli, Hinttala, Reetta, Kettunen, Johannes, Mannermaa, Arto, Aalto-Setälä, Katriina, Kähönen, Mika, Mäkelä, Johanna, Kälviäinen, Reetta, Julkunen, Valtteri, Soininen, Hilkka, Remes, Anne, Hiltunen, Mikko, Peltola, Jukka, Raivio, Minna, Tienari, Pentti, Rinne, Juha, Kallionpää, Roosa, Partanen, Juulia, Abbasi, Ali, Ziemann, Adam, Smaoui, Nizar, Lehtonen, Anne, Eaton, Susan, Lahdenperä, Sanni, Bowers, Natalie, Teng, Edmond, Xu, Fanli, Addis, Laura, Eicher, John, Li, Qingqin S., He, Karen, Khramtsova, Ekaterina, Färkkilä, Martti, Koskela, Jukka, Pikkarainen, Sampsa, Jussila, Airi, Kaukinen, Katri, Blomster, Timo, Kiviniemi, Mikko, Voutilainen, Markku, Lu, Tim, McCarthy, Linda, Hart, Amy, Guan, Meijian, Miller, Jason, Kalpala, Kirsi, Miller, Melissa, Eklund, Kari, Palomäki, Antti, Isomäki, Pia, Pirilä, Laura, Kaipiainen-Seppänen, Oili, Huhtakangas, Johanna, Mars, Nina, Lertratanakul, Apinya, Viollet, Coralie, Hochfeld, Marla, Gordillo, Jorge Esparza, Farias, Fabiana, Bing, Nan, Pelkonen, Margit, Kauppi, Paula, Kankaanranta, Hannu, Harju, Terttu, Lahesmaa, Riitta, Chen, Hubert, Betts, Joanna, Mishra, Rajashree, Mouded, Majd, Ngo, Debby, Niiranen, Teemu, Vaura, Felix, Salomaa, Veikko, Metsärinne, Kaj, Aittokallio, Jenni, Hernesniemi, Jussi, Gordin, Daniel, Sinisalo, Juha, Taskinen, Marja-Riitta, Tuomi, Tiinamaija, Hiltunen, Timo, Elliott, Amanda, Reeve, Mary Pat, Ruotsalainen, Sanni, Chu, Audrey, Reilly, Dermot, Mendelson, Mike, Parkkinen, Jaakko, Meretoja, Tuomo, Joensuu, Heikki, Mattson, Johanna, Salminen, Eveliina, Auranen, Annika, Karihtala, Peeter, Auvinen, Päivi, Elenius, Klaus, Pitkänen, Esa, Popovic, Relja, Fabre, Margarete, Schutzman, Jennifer, Kulkarni, Diptee, Porello, Alessandro, Loboda, Andrey, Lehtonen, Heli, McDonough, Stefan, Vuoti, Sauli, Kaarniranta, Kai, Turunen, Joni A., Ollila, Terhi, Uusitalo, Hannu, Karjalainen, Juha, Liu, Mengzhen, Loomis, Stephanie, Strauss, Erich, Chen, Hao, Tasanen, Kaisa, Huilaja, Laura, Hannula-Jouppi, Katariina, Salmi, Teea, Peltonen, Sirkku, Koulu, Leena, Choy, David, Wu, Ying, Pussinen, Pirkko, Salminen, Aino, Salo, Tuula, Rice, David, Nieminen, Pekka, Palotie, Ulla, Siponen, Maria, Suominen, Liisa, Mäntylä, Päivi, Gursoy, Ulvi, Anttonen, Vuokko, Sipilä, Kirsi, Laivuori, Hannele, Kurra, Venla, Kotaniemi-Talonen, Laura, Heikinheimo, Oskari, Kalliala, Ilkka, Aaltonen, Lauri, Jokimaa, Varpu, Vääräsmäki, Marja, Uimari, Outi, Morin-Papunen, Laure, Niinimäki, Maarit, Piltonen, Terhi, Kivinen, Katja, Widen, Elisabeth, Tukiainen, Taru, Välimäki, Niko, Laakkonen, Eija, Tyrmi, Jaakko, Silven, Heidi, Sliz, Eeva, Arffman, Riikka, Savukoski, Susanna, Laisk, Triin, Pujol, Natalia, Kumar, Janet, Hovatta, Iiris, Isometsä, Erkki, Ollila, Hanna, Suvisaari, Jaana, Als, Thomas Damm, Mäkitie, Antti, Bizaki-Vallaskangas, Argyro, Toppila-Salmi, Sanna, Willberg, Tytti, Saarentaus, Elmo, Aarnisalo, Antti, Rahikkala, Elisa, Aittomäki, Kristiina, Åberg, Fredrik, Kurki, Mitja, Havulinna, Aki, Mehtonen, Juha, Palta, Priit, Hassan, Shabbeer, Della Briotta Parolo, Pietro, Zhou, Wei, Maasha, Mutaamba, Lemmelä, Susanna, Liu, Aoxing, Lehisto, Arto, Ganna, Andrea, Llorens, Vincent, Heyne, Henrike, Rämö, Joel, Rodosthenous, Rodos, Strausz, Satu, Palotie, Tuula, Palin, Kimmo, Garcia-Tabuenca, Javier, Siirtola, Harri, Kiiskinen, Tuomo, Lee, Jiwoo, Tsuo, Kristin, Kristiansson, Kati, Hyvärinen, Kati, Ritari, Jarmo, Pylkäs, Katri, Karjalainen, Minna, Mantere, Tuomo, Kangasniemi, Eeva, Heikkinen, Sami, Pitkänen, Nina, Lessard, Samuel, Chatelain, Clément, Kallio, Lila, Wahlfors, Tiina, Punkka, Eero, Siltanen, Sanna, Kuopio, Teijo, Jalanko, Anu, Shen, Huei-Yi, Kajanne, Risto, Aavikko, Mervi, Leinonen, Rasko, Palin, Henna, Linna, Malla-Maria, Kanai, Masahiro, Zheng, Zhili, Lahtela, L. Elisa, Kaunisto, Mari, Kilpeläinen, Elina, Sipilä, Timo P., Dada, Oluwaseun Alexander, Ghazal, Awaisa, Kytölä, Anastasia, Weldatsadik, Rigbe, Donner, Kati, Loukola, Anu, Laiho, Päivi, Sistonen, Tuuli, Kaiharju, Essi, Laukkanen, Markku, Järvensivu, Elina, Lähteenmäki, Sini, Männikkö, Lotta, Wong, Regis, Toivola, Auli, Brunfeldt, Minna, Mattsson, Hannele, Koskelainen, Sami, Hiekkalinna, Tero, Paajanen, Teemu, Pärn, Kalle, Kals, Mart, Luo, Shuang, Padmanabhuni, Shanmukha Sampath, Niemi, Marianna, Gracia-Tabuenca, Javier, Helminen, Mika, Luukkaala, Tiina, Vähätalo, Iida, Tammerluoto, Jyrki, Smith, Sarah, Southerington, Tom, Lehto, Petri, Jones, Samuel E., Maisha, Fahrisa I., Strausz, Satu J., Lammi, Vilma, Cade, Brian E., Tervi, Anniina, Helaakoski, Viola, Broberg, Martin E., Lane, Jacqueline M., Redline, Susan, Saxena, Richa, and Ollila, Hanna M.

Published
2023
Full Text
View/download PDF

19. The genetic architecture of sporadic and multiple consecutive miscarriage.

Author

Laisk, Triin, Soares, Ana Luiza G, Ferreira, Teresa, Painter, Jodie N, Censin, Jenny C, Laber, Samantha, Bacelis, Jonas, Chen, Chia-Yen, Lepamets, Maarja, Lin, Kuang, Liu, Siyang, Millwood, Iona Y, Ramu, Avinash, Southcombe, Jennifer, Andersen, Marianne S, Yang, Ling, Becker, Christian M, Børglum, Anders D, Gordon, Scott D, Bybjerg-Grauholm, Jonas, Helgeland, Øyvind, Hougaard, David M, Jin, Xin, Johansson, Stefan, Juodakis, Julius, Kartsonaki, Christiana, Kukushkina, Viktorija, Lind, Penelope A, Metspalu, Andres, Montgomery, Grant W, Morris, Andrew P, Mors, Ole, Mortensen, Preben B, Njølstad, Pål R, Nordentoft, Merete, Nyholt, Dale R, Lippincott, Margaret, Seminara, Stephanie, Salumets, Andres, Snieder, Harold, Zondervan, Krina, Werge, Thomas, Chen, Zhengming, Conrad, Donald F, Jacobsson, Bo, Li, Liming, Martin, Nicholas G, Neale, Benjamin M, Nielsen, Rasmus, Walters, Robin G, Granne, Ingrid, Medland, Sarah E, Mägi, Reedik, Lawlor, Deborah A, and Lindgren, Cecilia M

Abstract

Miscarriage is a common, complex trait affecting ~15% of clinically confirmed pregnancies. Here we present the results of large-scale genetic association analyses with 69,054 cases from five different ancestries for sporadic miscarriage, 750 cases of European ancestry for multiple (≥3) consecutive miscarriage, and up to 359,469 female controls. We identify one genome-wide significant association (rs146350366, minor allele frequency (MAF) 1.2%, P = 3.2 × 10-8, odds ratio (OR) = 1.4) for sporadic miscarriage in our European ancestry meta-analysis and three genome-wide significant associations for multiple consecutive miscarriage (rs7859844, MAF = 6.4%, P = 1.3 × 10-8, OR = 1.7; rs143445068, MAF = 0.8%, P = 5.2 × 10-9, OR = 3.4; rs183453668, MAF = 0.5%, P = 2.8 × 10-8, OR = 3.8). We further investigate the genetic architecture of miscarriage with biobank-scale Mendelian randomization, heritability, and genetic correlation analyses. Our results show that miscarriage etiopathogenesis is partly driven by genetic variation potentially related to placental biology, and illustrate the utility of large-scale biobank data for understanding this pregnancy complication.

Published
2020

21. Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts

Author

Zhou, Wei, Kanai, Masahiro, Wu, Kuan-Han H., Rasheed, Humaira, Tsuo, Kristin, Hirbo, Jibril B., Wang, Ying, Bhattacharya, Arjun, Zhao, Huiling, Namba, Shinichi, Surakka, Ida, Wolford, Brooke N., Lo Faro, Valeria, Lopera-Maya, Esteban A., Läll, Kristi, Favé, Marie-Julie, Chapman, Sinéad B., Karjalainen, Juha, Kurki, Mitja, Mutaamba, Maasha, Partanen, Juulia J., Brumpton, Ben M., Chavan, Sameer, Chen, Tzu-Ting, Daya, Michelle, Ding, Yi, Feng, Yen-Chen A., Gignoux, Christopher R., Graham, Sarah E., Hornsby, Whitney E., Ingold, Nathan, Johnson, Ruth, Laisk, Triin, Lin, Kuang, Lv, Jun, Millwood, Iona Y., Palta, Priit, Pandit, Anita, Preuss, Michael H., Thorsteinsdottir, Unnur, Uzunovic, Jasmina, Zawistowski, Matthew, Zhong, Xue, Campbell, Archie, Crooks, Kristy, de Bock, Geertruida H., Douville, Nicholas J., Finer, Sarah, Fritsche, Lars G., Griffiths, Christopher J., Guo, Yu, Hunt, Karen A., Konuma, Takahiro, Marioni, Riccardo E., Nomdo, Jansonius, Patil, Snehal, Rafaels, Nicholas, Richmond, Anne, Shortt, Jonathan A., Straub, Peter, Tao, Ran, Vanderwerff, Brett, Barnes, Kathleen C., Boezen, Marike, Chen, Zhengming, Chen, Chia-Yen, Cho, Judy, Smith, George Davey, Finucane, Hilary K., Franke, Lude, Gamazon, Eric R., Ganna, Andrea, Gaunt, Tom R., Ge, Tian, Huang, Hailiang, Huffman, Jennifer, Koskela, Jukka T., Lajonchere, Clara, Law, Matthew H., Li, Liming, Lindgren, Cecilia M., Loos, Ruth J.F., MacGregor, Stuart, Matsuda, Koichi, Olsen, Catherine M., Porteous, David J., Shavit, Jordan A., Snieder, Harold, Trembath, Richard C., Vonk, Judith M., Whiteman, David, Wicks, Stephen J., Wijmenga, Cisca, Wright, John, Zheng, Jie, Zhou, Xiang, Awadalla, Philip, Boehnke, Michael, Cox, Nancy J., Geschwind, Daniel H., Hayward, Caroline, Hveem, Kristian, Kenny, Eimear E., Lin, Yen-Feng, Mägi, Reedik, Martin, Hilary C., Medland, Sarah E., Okada, Yukinori, Palotie, Aarno V., Pasaniuc, Bogdan, Sanna, Serena, Smoller, Jordan W., Stefansson, Kari, van Heel, David A., Walters, Robin G., Zöllner, Sebastian, Martin, Alicia R., Willer, Cristen J., Daly, Mark J., Neale, Benjamin M., Lopera, Esteban, Kerminen, Sini, Wu, Kuan-Han, Bhatta, Laxmi, Brumpton, Ben, Deelen, Patrick, Murakami, Yoshinori, Willer, Cristen, and Hirbo, Jibril

Published
2023
Full Text
View/download PDF

22. Meta-analysis fine-mapping is often miscalibrated at single-variant resolution

Author

Zhou, Wei, Kanai, Masahiro, Wu, Kuan-Han H., Rasheed, Humaira, Tsuo, Kristin, Hirbo, Jibril B., Wang, Ying, Bhattacharya, Arjun, Zhao, Huiling, Namba, Shinichi, Surakka, Ida, Wolford, Brooke N., Lo Faro, Valeria, Lopera-Maya, Esteban A., Läll, Kristi, Favé, Marie-Julie, Partanen, Juulia J., Chapman, Sinéad B., Karjalainen, Juha, Kurki, Mitja, Maasha, Mutaamba, Brumpton, Ben M., Chavan, Sameer, Chen, Tzu-Ting, Daya, Michelle, Ding, Yi, Feng, Yen-Chen A., Guare, Lindsay A., Gignoux, Christopher R., Graham, Sarah E., Hornsby, Whitney E., Ingold, Nathan, Ismail, Said I., Johnson, Ruth, Laisk, Triin, Lin, Kuang, Lv, Jun, Millwood, Iona Y., Moreno-Grau, Sonia, Nam, Kisung, Palta, Priit, Pandit, Anita, Preuss, Michael H., Saad, Chadi, Setia-Verma, Shefali, Thorsteinsdottir, Unnur, Uzunovic, Jasmina, Verma, Anurag, Zawistowski, Matthew, Zhong, Xue, Afifi, Nahla, Al-Dabhani, Kawthar M., Al Thani, Asma, Bradford, Yuki, Campbell, Archie, Crooks, Kristy, de Bock, Geertruida H., Damrauer, Scott M., Douville, Nicholas J., Finer, Sarah, Fritsche, Lars G., Fthenou, Eleni, Gonzalez-Arroyo, Gilberto, Griffiths, Christopher J., Guo, Yu, Hunt, Karen A., Ioannidis, Alexander, Jansonius, Nomdo M., Konuma, Takahiro, Michael Lee, Ming Ta, Lopez-Pineda, Arturo, Matsuda, Yuta, Marioni, Riccardo E., Moatamed, Babak, Nava-Aguilar, Marco A., Numakura, Kensuke, Patil, Snehal, Rafaels, Nicholas, Richmond, Anne, Rojas-Muñoz, Agustin, Shortt, Jonathan A., Straub, Peter, Tao, Ran, Vanderwerff, Brett, Vernekar, Manvi, Veturi, Yogasudha, Barnes, Kathleen C., Boezen, Marike, Chen, Zhengming, Chen, Chia-Yen, Cho, Judy, Smith, George Davey, Finucane, Hilary K., Franke, Lude, Gamazon, Eric R., Ganna, Andrea, Gaunt, Tom R., Ge, Tian, Huang, Hailiang, Huffman, Jennifer, Katsanis, Nicholas, Koskela, Jukka T., Lajonchere, Clara, Law, Matthew H., Li, Liming, Lindgren, Cecilia M., Loos, Ruth J.F., MacGregor, Stuart, Matsuda, Koichi, Olsen, Catherine M., Porteous, David J., Shavit, Jordan A., Snieder, Harold, Takano, Tomohiro, Trembath, Richard C., Vonk, Judith M., Whiteman, David C., Wicks, Stephen J., Wijmenga, Cisca, Wright, John, Zheng, Jie, Zhou, Xiang, Awadalla, Philip, Boehnke, Michael, Bustamante, Carlos D., Cox, Nancy J., Fatumo, Segun, Geschwind, Daniel H., Hayward, Caroline, Hveem, Kristian, Kenny, Eimear E., Lee, Seunggeun, Lin, Yen-Feng, Mbarek, Hamdi, Mägi, Reedik, Martin, Hilary C., Medland, Sarah E., Okada, Yukinori, Palotie, Aarno V., Pasaniuc, Bogdan, Rader, Daniel J., Ritchie, Marylyn D., Sanna, Serena, Smoller, Jordan W., Stefansson, Kari, van Heel, David A., Walters, Robin G., Zöllner, Sebastian, Biobank of the Americas, Biobank Japan Project, BioMe, BioVU, CanPath - Ontario Health Study, China Kadoorie Biobank Collaborative Group, Colorado Center for Personalized Medicine, deCODE Genetics, Estonian Biobank, FinnGen, Generation Scotland, Genes & Health Research Team, LifeLines, Mass General Brigham Biobank, Michigan Genomics Initiative, National Biobank of Korea, Penn Medicine BioBank, Qatar Biobank, The Qskin Sun and Health Study, Taiwan Biobank, The Hunt Study, Ucla Atlas Community Health Initiative, Uganda Genome Resource, Uk Biobank, Martin, Alicia R., Willer, Cristen J., Daly, Mark J., Neale, Benjamin M., and Elzur, Roy

Published
2022
Full Text
View/download PDF

23. Risk of Midlife Stroke After Adverse Pregnancy Outcomes: The FinnGen Study

Author

Miller, Eliza C., Kauko, Anni, Tom, Sarah E., Laivuori, Hannele, Niiranen, Teemu, Bello, Natalie A., Palotie, Aarno, Daly, Mark, Riley-Gills, Bridget, Jacob, Howard, Paul, Dirk, Matakidou, Athena, Platt, Adam, Runz, Heiko, John, Sally, Okafo, George, Lawless, Nathan, Salminen-Mankonen, Heli, Plenge, Robert, Maranville, Joseph, McCarthy, Mark, Hunkapiller, Julie, Ehm, Margaret G., Auro, Kirsi, Longerich, Simonne, Fox, Caroline, Mälarstig, Anders, Klinger, Katherine, Raipal, Deepak, Green, Eric, Graham, Robert, Yang, Robert, Donnell, Chris O´, Mäkelä, Tomi P., Kaprio, Jaakko, Virolainen, Petri, Hakanen, Antti, Kilpi, Terhi, Perola, Markus, Partanen, Jukka, Pitkäranta, Anne, Raivio, Taneli, Serpi, Raisa, Laitinen, Tarja, Kosma, Veli-Matti, Laukkanen, Jari, Hautalahti, Marco, Tuovila, Outi, Pakkanen, Raimo, Waring, Jeffrey, Riley-Gillis, Bridget, Rahimov, Fedik, Tachmazidou, Ioanna, Chen, Chia-Yen, Runz, Heiko, Ding, Zhihao, Jung, Marc, Biswas, Shameek, Pendergrass, Rion, Hunkapiller, Julie, Ehm, Margaret G., Pulford, David, Raghavan, Neha, Huertas-Vazquez, Adriana, Sul, Jae-Hoon, Mälarstig, Anders, Hu, Xinli, Klinger, Katherine, Graham, Robert, Green, Eric, Mozaffari, Sahar, Waterworth, Dawn, Renaud, Nicole, Obeidat, Ma´en, Ripatti, Samuli, Schleutker, Johanna, Perola, Markus, Arvas, Mikko, Carpén, Olli, Hinttala, Reetta, Kettunen, Johannes, Mannermaa, Arto, Aalto-Setälä, Katriina, Kähönen, Mika, Laukkanen, Jari, Mäkelä, Johanna, Kälviäinen, Reetta, Julkunen, Valtteri, Soininen, Hilkka, Remes, Anne, Hiltunen, Mikko, Peltola, Jukka, Raivio, Minna, Tienari, Pentti, Rinne, Juha, Kallionpää, Roosa, Partanen, Juulia, Abbasi, Ali, Ziemann, Adam, Smaoui, Nizar, Lehtonen, Anne, Eaton, Susan, Runz, Heiko, Lahdenperä, Sanni, Biswas, Shameek, Hunkapiller, Julie, Bowers, Natalie, Teng, Edmond, Pendergrass, Rion, Xu, Fanli, Pulford, David, Auro, Kirsi, Addis, Laura, Eicher, John, Li, Qingqin S, He, Karen, Khramtsova, Ekaterina, Raghavan, Neha, Färkkilä, Martti, Koskela, Jukka, Pikkarainen, Sampsa, Jussila, Airi, Kaukinen, Katri, Blomster, Timo, Kiviniemi, Mikko, Voutilainen, Markku, Daly, Mark, Abbasi, Ali, Waring, Jeffrey, Smaoui, Nizar, Rahimov, Fedik, Lehtonen, Anne, Lu, Tim, Bowers, Natalie, Pendergrass, Rion, McCarthy, Linda, Hart, Amy, Guan, Meijian, Miller, Jason, Kalpala, Kirsi, Miller, Melissa, Hu, Xinli, Eklund, Kari, Palomäki, Antti, Isomäki, Pia, Pirilä, Laura, Kaipiainen-Seppänen, Oili, Huhtakangas, Johanna, Mars, Nina, Abbasi, Ali, Waring, Jeffrey, Rahimov, Fedik, Lertratanakul, Apinya, Smaoui, Nizar, Lehtonen, Anne, Hochfeld, Marla, Bowers, Natalie, Pendergrass, Rion, Esparza Gordillo, Jorge, Auro, Kirsi, Waterworth, Dawn, Farias, Fabiana, Kalpala, Kirsi, Bing, Nan, Hu, Xinli, Laitinen, Tarja, Pelkonen, Margit, Kauppi, Paula, Kankaanranta, Hannu, Harju, Terttu, Lahesmaa, Riitta, Smaoui, Nizar, Lassi, Glenda, Eaton, Susan, Chen, Hubert, Pendergrass, Rion, Bowers, Natalie, Betts, Joanna, Auro, Kirsi, Mishra, Rajashree, Mouded, Majd, Ngo, Debby, Vaura, Felix, Salomaa, Veikko, Metsärinne, Kaj, Aittokallio, Jenni, Kähönen, Mika, Hernesniemi, Jussi, Gordin, Daniel, Sinisalo, Juha, Taskinen, Marja-Riitta, Tuomi, Tiinamaija, Hiltunen, Timo, Laukkanen, Jari, Elliott, Amanda, Pat Reeve, Mary, Ruotsalainen, Sanni, Challis, Benjamin, Paul, Dirk, Hunkapiller, Julie, Bowers, Natalie, Pendergrass, Rion, Chu, Audrey, Auro, Kirsi, Reilly, Dermot, Mendelson, Mike, Parkkinen, Jaakko, Miller, Melissa, Meretoja, Tuomo, Joensuu, Heikki, Carpén, Olli, Mattson, Johanna, Salminen, Eveliina, Auranen, Annika, Karihtala, Peeter, Elenius, Päivi Auvinen Klaus, Schleutker, Johanna, Pitkänen, Esa, Mars, Nina, Daly, Mark, Popovic, Relja, Waring, Jeffrey, Riley-Gillis, Bridget, Lehtonen, Anne, Schutzman, Jennifer, Hunkapiller, Julie, Bowers, Natalie, Pendergrass, Rion, Kulkarni, Diptee, Auro, Kirsi, Porello, Alessandro, Loboda, Andrey, Lehtonen, Heli, McDonough, Stefan, Vuoti, Sauli, Kaarniranta, Kai, Turunen, Joni A, Ollila, Terhi, Uusitalo, Hannu, Karjalainen, Juha, Pitkänen, Esa, Liu, Mengzhen, Runz, Heiko, Loomis, Stephanie, Strauss, Erich, Bowers, Natalie, Chen, Hao, Pendergrass, Rion, Tasanen, Kaisa, Huilaja, Laura, Hannula-Jouppi, Katariina, Salmi, Teea, Peltonen, Sirkku, Koulu, Leena, Smaoui, Nizar, Rahimov, Fedik, Lehtonen, Anne, Choy, David, Pendergrass, Rion, Waterworth, Dawn, Kalpala, Kirsi, Wu, Ying, Pussinen, Pirkko, Salminen, Aino, Salo, Tuula, Rice, David, Nieminen, Pekka, Palotie, Ulla, Siponen, Maria, Suominen, Liisa, Mäntylä, Päivi, Gursoy, Ulvi, Anttonen, Vuokko, Sipilä, Kirsi, Pendergrass, Rion, Kurra, Venla, Kotaniemi-Talonen, Laura, Heikinheimo, Oskari, Kalliala, Ilkka, Aaltonen, Lauri, Jokimaa, Varpu, Kettunen, Johannes, Vääräsmäki, Marja, Uimari, Outi, Morin-Papunen, Laure, Niinimäki, Maarit, Piltonen, Terhi, Kivinen, Katja, Widen, Elisabeth, Tukiainen, Taru, Pat Reeve, Mary, Daly, Mark, Välimäki, Niko, Laakkonen, Eija, Tyrmi, Jaakko, Silven, Heidi, Sliz, Eeva, Arffman, Riikka, Savukoski, Susanna, Laisk, Triin, Pujol, Natalia, Liu, Mengzhen, Riley-Gillis, Bridget, Pendergrass, Rion, Kumar, Janet, Auro, Kirsi, Hovatta, Iiris, Chen, Chia-Yen, Isometsä, Erkki, Ollila, Hanna, Suvisaari, Jaana, Damm Als, Thomas, Mäkitie, Antti, Bizaki-Vallaskangas, Argyro, Toppila-Salmi, Sanna, Willberg, Tytti, Saarentaus, Elmo, Aarnisalo, Antti, Salminen, Eveliina, Rahikkala, Elisa, Kettunen, Johannes, Aittomäki, Kristiina, Åberg, Fredrik, Kurki, Mitja, Ripatti, Samuli, Daly, Mark, Karjalainen, Juha, Havulinna, Aki, Mehtonen, Juha, Palta, Priit, Hassan, Shabbeer, Della, Pietro, Parolo, Briotta, Zhou, Wei, Maasha, Mutaamba, Hassan, Shabbeer, Lemmelä, Susanna, Rivas, Manuel, Niemi, Mari E., Palotie, Aarno, Liu, Aoxing, Lehisto, Arto, Ganna, Andrea, Llorens, Vincent, Tukiainen, Taru, Pat Reeve, Mary, Heyne, Henrike, Mars, Nina, Rämö, Joel, Saarentaus, Elmo, Ollila, Hanna, Rodosthenous, Rodos, Strausz, Satu, Palotie, Tuula, Palin, Kimmo, Garcia-Tabuenca, Javier, Siirtola, Harri, Kiiskinen, Tuomo, Lee, Jiwoo, Tsuo, Kristin, Elliott, Amanda, Kristiansson, Kati, Arvas, Mikko, Hyvärinen, Kati, Ritari, Jarmo, Carpén, Olli, Kettunen, Johannes, Pylkäs, Katri, Sliz, Eeva, Karjalainen, Minna, Mantere, Tuomo, Kangasniemi, Eeva, Heikkinen, Sami, Mannermaa, Arto, Laakkonen, Eija, Pitkänen, Nina, Lessard, Samuel, Chatelain, Clément, Terho, Perttu, Soini, Sirpa, Partanen, Jukka, Punkka, Eero, Serpi, Raisa, Siltanen, Sanna, Kosma, Veli-Matti, Kuopio, Teijo, Jalanko, Anu, Shen, Huei-Yi, Kajanne, Risto, Aavikko, Mervi, Palin, Henna, Linna, Malla-Maria, Kurki, Mitja, Karjalainen, Juha, Della, Pietro, Parolo, Briotta, Lehisto, Arto, Mehtonen, Juha, Zhou, Wei, Kanai, Masahiro, Maasha, Mutaamba, Havulinna, Aki, Lemmelä, Susanna, Kiiskinen, Tuomo, Elisa Lahtela, L., Kaunisto, Mari, Kilpeläinen, Elina, Sipilä, Timo P., Alexander Dada, Oluwaseun, Ghazal, Awaisa, Kytölä, Anastasia, Weldatsadik, Rigbe, Ruotsalainen, Sanni, Donner, Kati, Sipilä, Timo P., Loukola, Anu, Laiho, Päivi, Sistonen, Tuuli, Kaiharju, Essi, Laukkanen, Markku, Järvensivu, Elina, Lähteenmäki, Sini, Männikkö, Lotta, Wong, Regis, Toivola, Auli, Brunfeldt, Minna, Mattsson, Hannele, Kristiansson, Kati, Lemmelä, Susanna, Koskelainen, Sami, Hiekkalinna, Tero, Paajanen, Teemu, Palta, Priit, Pärn, Kalle, Kals, Mart, Luo, Shuang, Laitinen, Tarja, Pat Reeve, Mary, Sampath Padmanabhuni, Shanmukha, Niemi, Marianna, Siirtola, Harri, Gracia-Tabuenca, Javier, Helminen, Mika, Luukkaala, Tiina, Vähätalo, Iida, Pitkänen, Jyrki, Hautalahti, Marco, Mäkelä, Johanna, Smith, Sarah, and Southerington, Tom

Published
2023
Full Text
View/download PDF

25. Author Correction: Genetic effects on the timing of parturition and links to fetal birth weight

Author

Solé-Navais, Pol, Flatley, Christopher, Steinthorsdottir, Valgerdur, Vaudel, Marc, Juodakis, Julius, Chen, Jing, Laisk, Triin, LaBella, Abigail L., Westergaard, David, Bacelis, Jonas, Brumpton, Ben, Skotte, Line, Borges, Maria C., Helgeland, Øyvind, Mahajan, Anubha, Wielscher, Matthias, Lin, Frederick, Briggs, Catherine, Wang, Carol A., Moen, Gunn-Helen, Beaumont, Robin N., Bradfield, Jonathan P., Abraham, Abin, Thorleifsson, Gudmar, Gabrielsen, Maiken E., Ostrowski, Sisse R., Modzelewska, Dominika, Nohr, Ellen A., Hypponen, Elina, Srivastava, Amit, Talbot, Octavious, Allard, Catherine, Williams, Scott M., Menon, Ramkumar, Shields, Beverley M., Sveinbjornsson, Gardar, Xu, Huan, Melbye, Mads, Lowe, Jr, William, Bouchard, Luigi, Oken, Emily, Pedersen, Ole B., Gudbjartsson, Daniel F., Erikstrup, Christian, Sørensen, Erik, Lie, Rolv T., Teramo, Kari, Hallman, Mikko, Juliusdottir, Thorhildur, Hakonarson, Hakon, Ullum, Henrik, Hattersley, Andrew T., Sletner, Line, Merialdi, Mario, Rifas-Shiman, Sheryl L., Steingrimsdottir, Thora, Scholtens, Denise, Power, Christine, West, Jane, Nyegaard, Mette, Capra, John A., Skogholt, Anne H., Magnus, Per, Andreassen, Ole A., Thorsteinsdottir, Unnur, Grant, Struan F. A., Qvigstad, Elisabeth, Pennell, Craig E., Hivert, Marie-France, Hayes, Geoffrey M., Jarvelin, Marjo-Riitta, McCarthy, Mark I., Lawlor, Deborah A., Nielsen, Henriette S., Mägi, Reedik, Rokas, Antonis, Hveem, Kristian, Stefansson, Kari, Feenstra, Bjarke, Njolstad, Pål, Muglia, Louis J., Freathy, Rachel M., Johansson, Stefan, Zhang, Ge, and Jacobsson, Bo

Published
2023
Full Text
View/download PDF

26. Comprehensive Inherited Risk Estimation for Risk-Based Breast Cancer Screening in Women

Author

Mars, Nina, primary, Kerminen, Sini, additional, Tamlander, Max, additional, Pirinen, Matti, additional, Jakkula, Eveliina, additional, Aaltonen, Kirsimari, additional, Meretoja, Tuomo, additional, Heinävaara, Sirpa, additional, Widén, Elisabeth, additional, Ripatti, Samuli, additional, Palotie, Aarno, additional, Daly, Mark, additional, Riley-Gills, Bridget, additional, Jacob, Howard, additional, Paul, Dirk, additional, Matakidou, Athena, additional, Platt, Adam, additional, Runz, Heiko, additional, John, Sally, additional, Okafo, George, additional, Lawless, Nathan, additional, Plenge, Robert, additional, Maranville, Joseph, additional, McCarthy, Mark, additional, Hunkapiller, Julie, additional, Ehm, Margaret G., additional, Auro, Kirsi, additional, Longerich, Simonne, additional, Fox, Caroline, additional, Mälarstig, Anders, additional, Klinger, Katherine, additional, Raipal, Deepak, additional, Green, Eric, additional, Graham, Robert, additional, Yang, Robert, additional, O'Donnell, Chris, additional, Mäkelä, Tomi P., additional, Kaprio, Jaakko, additional, Virolainen, Petri, additional, Hakanen, Antti, additional, Kilpi, Terhi, additional, Perola, Markus, additional, Partanen, Jukka, additional, Pitkäranta, Anne, additional, Junttila, Juhani, additional, Serpi, Raisa, additional, Laitinen, Tarja, additional, Kosma, Veli-Matti, additional, Laukkanen, Jari, additional, Hautalahti, Marco, additional, Tuovila, Outi, additional, Pakkanen, Raimo, additional, Waring, Jeffrey, additional, Riley-Gillis, Bridget, additional, Rahimov, Fedik, additional, Tachmazidou, Ioanna, additional, Chen, Chia-Yen, additional, Ding, Zhihao, additional, Jung, Marc, additional, Biswas, Shameek, additional, Pendergrass, Rion, additional, Pulford, David, additional, Raghavan, Neha, additional, Huertas-Vazquez, Adriana, additional, Sul, Jae-Hoon, additional, Hu, Xinli, additional, Mozaffari, Sahar, additional, Waterworth, Dawn, additional, Renaud, Nicole, additional, Obeidat, Ma'en, additional, Schleutker, Johanna, additional, Arvas, Mikko, additional, Carpén, Olli, additional, Hinttala, Reetta, additional, Kettunen, Johannes, additional, Mannermaa, Arto, additional, Aalto-Setälä, Katriina, additional, Kähönen, Mika, additional, Mäkelä, Johanna, additional, Kälviäinen, Reetta, additional, Julkunen, Valtteri, additional, Soininen, Hilkka, additional, Remes, Anne, additional, Hiltunen, Mikko, additional, Peltola, Jukka, additional, Raivio, Minna, additional, Tienari, Pentti, additional, Rinne, Juha, additional, Kallionpää, Roosa, additional, Partanen, Juulia, additional, Abbasi, Ali, additional, Ziemann, Adam, additional, Smaoui, Nizar, additional, Lehtonen, Anne, additional, Eaton, Susan, additional, Lahdenperä, Sanni, additional, Bowers, Natalie, additional, Teng, Edmond, additional, Xu, Fanli, additional, Addis, Laura, additional, Eicher, John, additional, Li, Qingqin S, additional, He, Karen, additional, Khramtsova, Ekaterina, additional, Färkkilä, Martti, additional, Koskela, Jukka, additional, Pikkarainen, Sampsa, additional, Jussila, Airi, additional, Kaukinen, Katri, additional, Blomster, Timo, additional, Kiviniemi, Mikko, additional, Voutilainen, Markku, additional, Lu, Tim, additional, McCarthy, Linda, additional, Hart, Amy, additional, Guan, Meijian, additional, Miller, Jason, additional, Kalpala, Kirsi, additional, Miller, Melissa, additional, Eklund, Kari, additional, Palomäki, Antti, additional, Isomäki, Pia, additional, Pirilä, Laura, additional, Kaipiainen-Seppänen, Oili, additional, Huhtakangas, Johanna, additional, Mars, Nina, additional, Lertratanakul, Apinya, additional, Close, David, additional, Hochfeld, Marla, additional, Gordillo, Jorge Esparza, additional, Farias, Fabiana, additional, Bing, Nan, additional, Pelkonen, Margit, additional, Kauppi, Paula, additional, Kankaanranta, Hannu, additional, Harju, Terttu, additional, Lahesmaa, Riitta, additional, Mackay, Alex, additional, Lassi, Glenda, additional, Chen, Hubert, additional, Betts, Joanna, additional, Mishra, Rajashree, additional, Mouded, Majd, additional, Ngo, Debby, additional, Niiranen, Teemu, additional, Vaura, Felix, additional, Salomaa, Veikko, additional, Metsärinne, Kaj, additional, Aittokallio, Jenni, additional, Hernesniemi, Jussi, additional, Gordin, Daniel, additional, Sinisalo, Juha, additional, Taskinen, Marja-Riitta, additional, Tuomi, Tiinamaija, additional, Hiltunen, Timo, additional, Elliott, Amanda, additional, Reeve, Mary Pat, additional, Ruotsalainen, Sanni, additional, Challis, Benjamin, additional, Chu, Audrey, additional, Reilly, Dermot, additional, Mendelson, Mike, additional, Parkkinen, Jaakko, additional, Joensuu, Heikki, additional, Mattson, Johanna, additional, Salminen, Eveliina, additional, Auranen, Annika, additional, Karihtala, Peeter, additional, Auvinen, Päivi, additional, Elenius, Klaus, additional, Pitkänen, Esa, additional, Popovic, Relja, additional, Schutzman, Jennifer, additional, Kulkarni, Diptee, additional, Porello, Alessandro, additional, Loboda, Andrey, additional, Lehtonen, Heli, additional, McDonough, Stefan, additional, Vuoti, Sauli, additional, Kaarniranta, Kai, additional, Turunen, Joni A, additional, Ollila, Terhi, additional, Uusitalo, Hannu, additional, Karjalainen, Juha, additional, Liu, Mengzhen, additional, Loomis, Stephanie, additional, Strauss, Erich, additional, Chen, Hao, additional, Tasanen, Kaisa, additional, Huilaja, Laura, additional, Hannula-Jouppi, Katariina, additional, Salmi, Teea, additional, Peltonen, Sirkku, additional, Koulu, Leena, additional, Choy, David, additional, Wu, Ying, additional, Pussinen, Pirkko, additional, Salminen, Aino, additional, Salo, Tuula, additional, Rice, David, additional, Nieminen, Pekka, additional, Palotie, Ulla, additional, Siponen, Maria, additional, Suominen, Liisa, additional, Mäntylä, Päivi, additional, Gursoy, Ulvi, additional, Anttonen, Vuokko, additional, Sipilä, Kirsi, additional, Laivuori, Hannele, additional, Kurra, Venla, additional, Kotaniemi-Talonen, Laura, additional, Heikinheimo, Oskari, additional, Kalliala, Ilkka, additional, Aaltonen, Lauri, additional, Jokimaa, Varpu, additional, Vääräsmäki, Marja, additional, Uimari, Outi, additional, Morin-Papunen, Laure, additional, Niinimäki, Maarit, additional, Piltonen, Terhi, additional, Kivinen, Katja, additional, Widen, Elisabeth, additional, Tukiainen, Taru, additional, Välimäki, Niko, additional, Laakkonen, Eija, additional, Tyrmi, Jaakko, additional, Silven, Heidi, additional, Sliz, Eeva, additional, Arffman, Riikka, additional, Savukoski, Susanna, additional, Laisk, Triin, additional, Pujol, Natalia, additional, Kumar, Janet, additional, Hovatta, Iiris, additional, Isometsä, Erkki, additional, Veerapen, Kumar, additional, Ollila, Hanna, additional, Suvisaari, Jaana, additional, Als, Thomas Damm, additional, Mäkitie, Antti, additional, Bizaki-Vallaskangas, Argyro, additional, Toppila-Salmi, Sanna, additional, Willberg, Tytti, additional, Saarentaus, Elmo, additional, Aarnisalo, Antti, additional, Rahikkala, Elisa, additional, Aittomäki, Kristiina, additional, Åberg, Fredrik, additional, Kurki, Mitja, additional, Havulinna, Aki, additional, Mehtonen, Juha, additional, Palta, Priit, additional, Hassan, Shabbeer, additional, Della Briotta Parolo, Pietro, additional, Zhou, Wei, additional, Maasha, Mutaamba, additional, Lemmelä, Susanna, additional, Rivas, Manuel, additional, Niemi, Mari E., additional, Liu, Aoxing, additional, Lehisto, Arto, additional, Ganna, Andrea, additional, Llorens, Vincent, additional, Heyne, Henrike, additional, Rämö, Joel, additional, Rodosthenous, Rodos, additional, Strausz, Satu, additional, Palotie, Tuula, additional, Palin, Kimmo, additional, Garcia-Tabuenca, Javier, additional, Siirtola, Harri, additional, Kiiskinen, Tuomo, additional, Lee, Jiwoo, additional, Tsuo, Kristin, additional, Kristiansson, Kati, additional, Hyvärinen, Kati, additional, Ritari, Jarmo, additional, Pylkäs, Katri, additional, Karjalainen, Minna, additional, Mantere, Tuomo, additional, Kangasniemi, Eeva, additional, Heikkinen, Sami, additional, Pitkänen, Nina, additional, Lessard, Samuel, additional, Chatelain, Clément, additional, Terho, Perttu, additional, Soini, Sirpa, additional, Punkka, Eero, additional, Siltanen, Sanna, additional, Kuopio, Teijo, additional, Jalanko, Anu, additional, Shen, Huei-Yi, additional, Kajanne, Risto, additional, Aavikko, Mervi, additional, Kanai, Masahiro, additional, Lahtela, L. Elisa, additional, Kaunisto, Mari, additional, Kilpeläinen, Elina, additional, Sipilä, Timo P., additional, Dada, Oluwaseun Alexander, additional, Ghazal, Awaisa, additional, Kytölä, Anastasia, additional, Weldatsadik, Rigbe, additional, Donner, Kati, additional, Loukola, Anu, additional, Laiho, Päivi, additional, Sistonen, Tuuli, additional, Kaiharju, Essi, additional, Laukkanen, Markku, additional, Järvensivu, Elina, additional, Lähteenmäki, Sini, additional, Männikkö, Lotta, additional, Wong, Regis, additional, Toivola, Auli, additional, Brunfeldt, Minna, additional, Mattsson, Hannele, additional, Koskelainen, Sami, additional, Hiekkalinna, Tero, additional, Paajanen, Teemu, additional, Pärn, Kalle, additional, Kals, Mart, additional, Luo, Shuang, additional, Sinha, Vishal, additional, Niemi, Marianna, additional, Gracia-Tabuenca, Javier, additional, Helminen, Mika, additional, Luukkaala, Tiina, additional, Vähätalo, Iida, additional, Pitkänen, Jyrki, additional, Smith, Sarah, additional, and Southerington, Tom, additional

Published
2024
Full Text
View/download PDF

28. Author Correction: FinnGen provides genetic insights from a well-phenotyped isolated population

Author

Kurki, Mitja I., Karjalainen, Juha, Palta, Priit, Sipilä, Timo P., Kristiansson, Kati, Donner, Kati M., Reeve, Mary P., Laivuori, Hannele, Aavikko, Mervi, Kaunisto, Mari A., Loukola, Anu, Lahtela, Elisa, Mattsson, Hannele, Laiho, Päivi, Della Briotta Parolo, Pietro, Lehisto, Arto A., Kanai, Masahiro, Mars, Nina, Rämö, Joel, Kiiskinen, Tuomo, Heyne, Henrike O., Veerapen, Kumar, Rüeger, Sina, Lemmelä, Susanna, Zhou, Wei, Ruotsalainen, Sanni, Pärn, Kalle, Hiekkalinna, Tero, Koskelainen, Sami, Paajanen, Teemu, Llorens, Vincent, Gracia-Tabuenca, Javier, Siirtola, Harri, Reis, Kadri, Elnahas, Abdelrahman G., Sun, Benjamin, Foley, Christopher N., Aalto-Setälä, Katriina, Alasoo, Kaur, Arvas, Mikko, Auro, Kirsi, Biswas, Shameek, Bizaki-Vallaskangas, Argyro, Carpen, Olli, Chen, Chia-Yen, Dada, Oluwaseun A., Ding, Zhihao, Ehm, Margaret G., Eklund, Kari, Färkkilä, Martti, Finucane, Hilary, Ganna, Andrea, Ghazal, Awaisa, Graham, Robert R., Green, Eric M., Hakanen, Antti, Hautalahti, Marco, Hedman, Åsa K., Hiltunen, Mikko, Hinttala, Reetta, Hovatta, Iiris, Hu, Xinli, Huertas-Vazquez, Adriana, Huilaja, Laura, Hunkapiller, Julie, Jacob, Howard, Jensen, Jan-Nygaard, Joensuu, Heikki, John, Sally, Julkunen, Valtteri, Jung, Marc, Junttila, Juhani, Kaarniranta, Kai, Kähönen, Mika, Kajanne, Risto, Kallio, Lila, Kälviäinen, Reetta, Kaprio, Jaakko, Kerimov, Nurlan, Kettunen, Johannes, Kilpeläinen, Elina, Kilpi, Terhi, Klinger, Katherine, Kosma, Veli-Matti, Kuopio, Teijo, Kurra, Venla, Laisk, Triin, Laukkanen, Jari, Lawless, Nathan, Liu, Aoxing, Longerich, Simonne, Mägi, Reedik, Mäkelä, Johanna, Mäkitie, Antti, Malarstig, Anders, Mannermaa, Arto, Maranville, Joseph, Matakidou, Athena, Meretoja, Tuomo, Mozaffari, Sahar V., Niemi, Mari E. K., Niemi, Marianna, Niiranen, Teemu, O´Donnell, Christopher J., Obeidat, Ma´en, Okafo, George, Ollila, Hanna M., Palomäki, Antti, Palotie, Tuula, Partanen, Jukka, Paul, Dirk S., Pelkonen, Margit, Pendergrass, Rion K., Petrovski, Slavé, Pitkäranta, Anne, Platt, Adam, Pulford, David, Punkka, Eero, Pussinen, Pirkko, Raghavan, Neha, Rahimov, Fedik, Rajpal, Deepak, Renaud, Nicole A., Riley-Gillis, Bridget, Rodosthenous, Rodosthenis, Saarentaus, Elmo, Salminen, Aino, Salminen, Eveliina, Salomaa, Veikko, Schleutker, Johanna, Serpi, Raisa, Shen, Huei-yi, Siegel, Richard, Silander, Kaisa, Siltanen, Sanna, Soini, Sirpa, Soininen, Hilkka, Sul, Jae Hoon, Tachmazidou, Ioanna, Tasanen, Kaisa, Tienari, Pentti, Toppila-Salmi, Sanna, Tukiainen, Taru, Tuomi, Tiinamaija, Turunen, Joni A., Ulirsch, Jacob C., Vaura, Felix, Virolainen, Petri, Waring, Jeffrey, Waterworth, Dawn, Yang, Robert, Nelis, Mari, Reigo, Anu, Metspalu, Andres, Milani, Lili, Esko, Tõnu, Fox, Caroline, Havulinna, Aki S., Perola, Markus, Ripatti, Samuli, Jalanko, Anu, Laitinen, Tarja, Mäkelä, Tomi P., Plenge, Robert, McCarthy, Mark, Runz, Heiko, Daly, Mark J., and Palotie, Aarno

Published
2023
Full Text
View/download PDF

29. The endometrial transcriptome of infertile women with and without implantation failure

Author

MS VPG/Gynaecologie, Regenerative Medicine and Stem Cells, Child Health, Bui, Bich Ngoc, Kukushkina, Viktorija, Meltsov, Alvin, Olsen, Catharina, van Hoogenhuijze, Nienke, Altmäe, Signe, Mol, Femke, Teklenburg, Gijs, de Bruin, Jan-Peter, Besselink, Dagmar, Stevens Brentjens, Linda, Obukhova, Darina, Zamani Esteki, Masoud, van Golde, Ron, Romano, Andrea, Laisk, Triin, Steba, Gaby, Mackens, Shari, Salumets, Andres, Broekmans, Frank, MS VPG/Gynaecologie, Regenerative Medicine and Stem Cells, Child Health, Bui, Bich Ngoc, Kukushkina, Viktorija, Meltsov, Alvin, Olsen, Catharina, van Hoogenhuijze, Nienke, Altmäe, Signe, Mol, Femke, Teklenburg, Gijs, de Bruin, Jan-Peter, Besselink, Dagmar, Stevens Brentjens, Linda, Obukhova, Darina, Zamani Esteki, Masoud, van Golde, Ron, Romano, Andrea, Laisk, Triin, Steba, Gaby, Mackens, Shari, Salumets, Andres, and Broekmans, Frank

Published
2024

30. Uncovering the shared genetic components of thyroid disorders and reproductive health.

Author

Figuerêdo, Jéssica, Krebs, Kristi, Pujol-Gualdo, Natàlia, Haller, Toomas, Võsa, Urmo, Volke, Vallo, Laisk, Triin, Mägi, Reedik, Team, Estonian Biobank Research, and Team, Health Informatics Research

Subjects
GENETIC pleiotropy, GENETIC correlations, GENOME-wide association studies, PHENOTYPES, REPRODUCTIVE health
Abstract

Objective The aim of the study is to map the shared genetic component and relationships between thyroid and reproductive health traits to improve the understanding of the interplay between those domains. Design A large-scale genetic analysis of thyroid traits (hyper- and hypothyroidism, and thyroid-stimulating hormone levels) was conducted in up to 743 088 individuals of European ancestry from various cohorts. Methods We evaluated genetic associations using genome-wide association study (GWAS) meta-analysis, GWAS Catalog lookup, gene prioritization, mouse phenotype lookup, and genetic correlation analysis. Results GWAS meta-analysis results for thyroid phenotypes showed that 50 lead variants out of 253 (including 5/52 of the novel hits) were linked to reproductive health in previous literature. Genetic correlation analyses revealed significant correlations between hypothyroidism and reproductive phenotypes. The results showed that 31.9% of thyroid-associated genes also had an impact on reproductive phenotypes, with the most affected functions being related to genitourinary tract issues. Conclusions The study discovers novel genetic loci linked to thyroid phenotypes and highlights the shared genetic determinants between thyroid function and reproductive health, providing evidence for the genetic pleiotropy and shared biological mechanisms between these traits in both sexes. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

31. Circulating anti-Müllerian hormone levels in pre-menopausal women: novel genetic insights from a genome-wide association meta-analysis.

Author

Pujol-Gualdo, Natàlia, Karjalainen, Minna K, Võsa, Urmo, Arffman, Riikka K, Mägi, Reedik, Ronkainen, Justiina, Laisk, Triin, and Piltonen, Terhi T

Subjects
ANTI-Mullerian hormone, OVARIAN reserve, GENETIC correlations, GENOME-wide association studies, GENETIC variation, REGIONAL development, OVARIAN follicle
Abstract

STUDY QUESTION Can a genome-wide association study (GWAS) meta-analysis, including a large sample of young premenopausal women from a founder population from Northern Finland, identify novel genetic variants for circulating anti-Müllerian hormone (AMH) levels and provide insights into single-nucleotide polymorphism enrichment in different biological pathways and tissues involved in AMH regulation? SUMMARY ANSWER The meta-analysis identified a total of six loci associated with AMH levels at P  <   5 × 10−8, three of which were novel in or near CHEK2 , BMP4 , and EIF4EBP1 , as well as highlighted significant enrichment in renal system vasculature morphogenesis, and the pituitary gland as the top associated tissue in tissue enrichment analysis. WHAT IS KNOWN ALREADY AMH is expressed by preantral and small antral stage ovarian follicles in women, and variation in age-specific circulating AMH levels has been associated with several health conditions. However, the biological mechanisms underlying the association between health conditions and AMH levels are not yet fully understood. Previous GWAS have identified loci associated with AMH levels in pre-menopausal women, in or near MCM8 , AMH , TEX41 , and CDCA7. STUDY DESIGN, SIZE, DURATION We performed a GWAS meta-analysis for circulating AMH level measurements in 9668 pre-menopausal women. PARTICIPANTS/MATERIALS, SETTING, METHODS We performed a GWAS meta-analysis in which we combined 2619 AMH measurements (at age 31 years) from a prospective founder population cohort (Northern Finland Birth Cohort 1966, NFBC1966) with a previous GWAS meta-analysis that included 7049 pre-menopausal women (age range 15–48 years) (N = 9668). NFBC1966 AMH measurements were quantified using an automated assay. We annotated the genetic variants, combined different data layers to prioritize potential candidate genes, described significant pathways and tissues enriched by the GWAS signals, identified plausible regulatory roles using colocalization analysis, and leveraged publicly available summary statistics to assess genetic and phenotypic correlations with multiple traits. MAIN RESULTS AND THE ROLE OF CHANCE Three novel genome-wide significant loci were identified. One of these is in complete linkage disequilibrium with c.1100delC in CHEK2 , which is found to be 4-fold enriched in the Finnish population compared to other European populations. We propose a plausible regulatory effect of some of the GWAS variants linked to AMH, as they colocalize with GWAS signals associated with gene expression levels of BMP4 , TEX41 , and EIFBP41. Gene set analysis highlighted significant enrichment in renal system vasculature morphogenesis, and tissue enrichment analysis ranked the pituitary gland as the top association. LARGE SCALE DATA The GWAS meta-analysis summary statistics are available for download from the GWAS Catalogue with accession number GCST90428625. LIMITATIONS, REASONS FOR CAUTION This study only included women of European ancestry and the lack of sufficiently sized relevant tissue data in gene expression datasets hinders the assessment of potential regulatory effects in reproductive tissues. WIDER IMPLICATIONS OF THE FINDINGS Our results highlight the increased power of founder populations and larger sample sizes to boost the discovery of novel trait-associated variants underlying variation in AMH levels, which aided the characterization of GWAS signals enrichment in different biological pathways and plausible genetic regulatory effects linked with AMH level variation for the first time. STUDY FUNDING/COMPETING INTEREST(S) This work has received funding from the European Union's Horizon 2020 Research and Innovation Programme under the MATER Marie Sklodowska-Curie Grant Agreement No. 813707 and Oulu University Scholarship Foundation and Paulon Säätiö Foundation. (N.P.-G.), Academy of Finland, Sigrid Jusélius Foundation, Novo Nordisk, University of Oulu, Roche Diagnostics (T.T.P.). This work was supported by the Estonian Research Council Grant 1911 (R.M.). J.R. was supported by the European Union's Horizon 2020 Research and Innovation Program under Grant Agreements No. 874739 (LongITools), 824989 (EUCAN-Connect), 848158 (EarlyCause), and 733206 (LifeCycle). U.V. was supported by the Estonian Research Council grant PRG (PRG1291). The NFBC1966 received financial support from University of Oulu Grant No. 24000692, Oulu University Hospital Grant No. 24301140, and ERDF European Regional Development Fund Grant No. 539/2010 A31592. T.T.P. has received grants from Roche, Perkin Elmer, and honoraria for scientific presentations from Gedeon Richter, Exeltis, Astellas, Roche, Stragen, Astra Zeneca, Merck, MSD, Ferring, Duodecim, and Ajaton Terveys. For all other authors, there are no competing interests. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

32. The endometrial transcriptome of infertile women with and without implantation failure.

Author

Bui, Bich Ngoc, Kukushkina, Viktorija, Meltsov, Alvin, Olsen, Catharina, van Hoogenhuijze, Nienke, Altmäe, Signe, Mol, Femke, Teklenburg, Gijs, de Bruin, Jan‐Peter, Besselink, Dagmar, Stevens Brentjens, Linda, Obukhova, Darina, Zamani Esteki, Masoud, van Golde, Ron, Romano, Andrea, Laisk, Triin, Steba, Gaby, Mackens, Shari, Salumets, Andres, and Broekmans, Frank

Subjects
EMBRYO implantation, INTRACYTOPLASMIC sperm injection, FERTILIZATION in vitro, EMBRYO transfer, GENE expression
Abstract

Introduction: Implantation failure after transferring morphologically "good‐quality" embryos in in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) may be explained by impaired endometrial receptivity. Analyzing the endometrial transcriptome analysis may reveal the underlying processes and could help in guiding prognosis and using targeted interventions for infertility. This exploratory study investigated whether the endometrial transcriptome profile was associated with short‐term or long‐term implantation outcomes (ie success or failure). Material and methods: Mid‐luteal phase endometrial biopsies of 107 infertile women with one full failed IVF/ICSI cycle, obtained within an endometrial scratching trial, were subjected to RNA‐sequencing and differentially expressed genes analysis with covariate adjustment (age, body mass index, luteinizing hormone [LH]‐day). Endometrial transcriptomes were compared between implantation failure and success groups in the short term (after the second fresh IVF/ICSI cycle) and long term (including all fresh and frozen cycles within 12 months). The short‐term analysis included 85/107 women (33 ongoing pregnancy vs 52 no pregnancy), excluding 22/107 women. The long‐term analysis included 46/107 women (23 'fertile' group, ie infertile women with a live birth after ≤3 embryos transferred vs 23 recurrent implantation failure group, ie no live birth after ≥3 good quality embryos transferred), excluding 61/107 women not fitting these categories. As both analyses drew from the same pool of 107 samples, there was some sample overlap. Additionally, cell type enrichment scores and endometrial receptivity were analyzed, and an endometrial development pseudo‐timeline was constructed to estimate transcriptomic deviations from the optimum receptivity day (LH + 7), denoted as ΔWOI (window of implantation). Results: There were no significantly differentially expressed genes between implantation failure and success groups in either the short‐term or long‐term analyses. Principal component analysis initially showed two clusters in the long‐term analysis, unrelated to clinical phenotype and no longer distinct following covariate adjustment. Cell type enrichment scores did not differ significantly between groups in both analyses. However, endometrial receptivity analysis demonstrated a potentially significant displacement of the WOI in the non‐pregnant group compared with the ongoing pregnant group in the short‐term analysis. Conclusions: No distinct endometrial transcriptome profile was associated with either implantation failure or success in infertile women. However, there may be differences in the extent to which the WOI is displaced. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

33. Thrombosis risk in single- and double-heterozygous carriers of factor V Leiden and prothrombin G20210A in FinnGen and the UK Biobank

Author

Ryu, Justine, Rämö, Joel T., Jurgens, Sean J., Palotie, Aarno, Daly, Mark, Riley-Gills, Bridget, Jacob, Howard, Viollet, Coralie, Petrovski, Slavé, Chen, Chia-Yen, John, Sally, Okafo, George, Plenge, Robert, Maranville, Joseph, McCarthy, Mark, Pendergrass, Rion, Ehm, Margaret G., Auro, Kirsi, Longerich, Simonne, Mälarstig, Anders, Vlahiotis, Anna, Klinger, Katherine, Chatelain, Clement, Gossel, Matthias, Estrada, Karol, Graham, Robert, Waterworth, Dawn, O´Donnell, Chris, Renaud, Nicole, Mäkelä, Tomi P., Kaprio, Jaakko, Ruddock, Minna, Virolainen, Petri, Hakanen, Antti, Kilpi, Terhi, Perola, Markus, Partanen, Jukka, Raivio, Taneli, Tikkanen, Jani, Serpi, Raisa, Kristiansson, Kati, Kosma, Veli-Matti, Laukkanen, Jari, Hautalahti, Marco, Tuovila, Outi, Waring, Jeffrey, Riley-Gillis, Bridget, Rahimov, Fedik, Tachmazidou, Ioanna, Chen, Chia-Yen, Ding, Zhihao, Jung, Marc, Tuoken, Hanati, Biswas, Shameek, Pendergrass, Rion, Ehm, Margaret G., Pulford, David, Raghavan, Neha, Huertas-Vazquez, Adriana, Sul, Jae-Hoon, Mälarstig, Anders, Hu, Xinli, Hedman, Åsa, Klinger, Katherine, Graham, Robert, Waterworth, Dawn, Renaud, Nicole, Obeidat, Ma´en, Chung, Jonathan, Zierer, Jonas, Niemi, Mari, Ripatti, Samuli, Schleutker, Johanna, Perola, Markus, Arvas, Mikko, Carpén, Olli, Hinttala, Reetta, Kettunen, Johannes, Mannermaa, Arto, Aalto-Setälä, Katriina, Kähönen, Mika, Laukkanen, Jari, Mäkelä, Johanna, Kälviäinen, Reetta, Julkunen, Valtteri, Soininen, Hilkka, Remes, Anne, Hiltunen, Mikko, Peltola, Jukka, Raivio, Minna, Tienari, Pentti, Rinne, Juha, Kallionpää, Roosa, Partanen, Juulia, Ziemann, Adam, Smaoui, Nizar, Lehtonen, Anne, Eaton, Susan, Runz, Heiko, Lahdenperä, Sanni, Biswas, Shameek, Bowers, Natalie, Teng, Edmond, Pendergrass, Rion, Xu, Fanli, Pulford, David, Auro, Kirsi, Addis, Laura, Eicher, John, Li, Qingqin S., He, Karen, Khramtsova, Ekaterina, Raghavan, Neha, Färkkilä, Martti, Koskela, Jukka, Pikkarainen, Sampsa, Jussila, Airi, Kaukinen, Katri, Blomster, Timo, Kiviniemi, Mikko, Voutilainen, Markku, Daly, Mark, Waring, Jeffrey, Smaoui, Nizar, Rahimov, Fedik, Lehtonen, Anne, Lu, Tim, Bowers, Natalie, Pendergrass, Rion, McCarthy, Linda, Hart, Amy, Guan, Meijian, Miller, Jason, Kalpala, Kirsi, Miller, Melissa, Hu, Xinli, Eklund, Kari, Palomäki, Antti, Isomäki, Pia, Pirilä, Laura, Kaipiainen-Seppänen, Oili, Huhtakangas, Johanna, Mars, Nina, Waring, Jeffrey, Rahimov, Fedik, Lertratanakul, Apinya, Smaoui, Nizar, Lehtonen, Anne, Viollet, Coralie, Hochfeld, Marla, Bowers, Natalie, Pendergrass, Rion, Gordillo, Jorge Esparza, Auro, Kirsi, Waterworth, Dawn, Farias, Fabiana, Kalpala, Kirsi, Bing, Nan, Hu, Xinli, Laitinen, Tarja, Pelkonen, Margit, Kauppi, Paula, Kankaanranta, Hannu, Harju, Terttu, Lahesmaa, Riitta, Smaoui, Nizar, Viollet, Coralie, Eaton, Susan, Chen, Hubert, Pendergrass, Rion, Bowers, Natalie, Betts, Joanna, Auro, Kirsi, Mishra, Rajashree, Mouded, Majd, Ngo, Debby, Niiranen, Teemu, Vaura, Felix, Salomaa, Veikko, Metsärinne, Kaj, Aittokallio, Jenni, Kähönen, Mika, Hernesniemi, Jussi, Gordin, Daniel, Sinisalo, Juha, Taskinen, Marja-Riitta, Tuomi, Tiinamaija, Hiltunen, Timo, Laukkanen, Jari, Elliott, Amanda, Reeve, Mary Pat, Ruotsalainen, Sanni, Paul, Dirk, Bowers, Natalie, Pendergrass, Rion, Chu, Audrey, Auro, Kirsi, Reilly, Dermot, Mendelson, Mike, Parkkinen, Jaakko, Miller, Melissa, Meretoja, Tuomo, Joensuu, Heikki, Carpén, Olli, Mattson, Johanna, Salminen, Eveliina, Auranen, Annika, Karihtala, Peeter, Auvinen, Päivi, Elenius, Klaus, Schleutker, Johanna, Pitkänen, Esa, Mars, Nina, Daly, Mark, Popovic, Relja, Waring, Jeffrey, Riley-Gillis, Bridget, Lehtonen, Anne, Fabre, Margarete, Schutzman, Jennifer, Bowers, Natalie, Pendergrass, Rion, Kulkarni, Diptee, Auro, Kirsi, Porello, Alessandro, Loboda, Andrey, Lehtonen, Heli, McDonough, Stefan, Vuoti, Sauli, Kaarniranta, Kai, Turunen, Joni A., Ollila, Terhi, Uusitalo, Hannu, Karjalainen, Juha, Pitkänen, Esa, Liu, Mengzhen, Runz, Heiko, Loomis, Stephanie, Strauss, Erich, Bowers, Natalie, Chen, Hao, Pendergrass, Rion, Tasanen, Kaisa, Huilaja, Laura, Hannula-Jouppi, Katariina, Salmi, Teea, Peltonen, Sirkku, Koulu, Leena, Smaoui, Nizar, Rahimov, Fedik, Lehtonen, Anne, Choy, David, Pendergrass, Rion, Waterworth, Dawn, Kalpala, Kirsi, Wu, Ying, Pussinen, Pirkko, Salminen, Aino, Salo, Tuula, Rice, David, Nieminen, Pekka, Palotie, Ulla, Siponen, Maria, Suominen, Liisa, Mäntylä, Päivi, Gursoy, Ulvi, Anttonen, Vuokko, Sipilä, Kirsi, Pendergrass, Rion, Laivuori, Hannele, Kurra, Venla, Kotaniemi-Talonen, Laura, Heikinheimo, Oskari, Kalliala, Ilkka, Aaltonen, Lauri, Jokimaa, Varpu, Kettunen, Johannes, Vääräsmäki, Marja, Uimari, Outi, Morin-Papunen, Laure, Niinimäki, Maarit, Piltonen, Terhi, Kivinen, Katja, Widen, Elisabeth, Tukiainen, Taru, Reeve, Mary Pat, Daly, Mark, Välimäki, Niko, Laakkonen, Eija, Tyrmi, Jaakko, Silven, Heidi, Sliz, Eeva, Arffman, Riikka, Savukoski, Susanna, Laisk, Triin, Pujol, Natalia, Liu, Mengzhen, Riley-Gillis, Bridget, Pendergrass, Rion, Kumar, Janet, Auro, Kirsi, Hovatta, Iiris, Chen, Chia-Yen, Isometsä, Erkki, Ollila, Hanna, Suvisaari, Jaana, Mäkitie, Antti, Bizaki-Vallaskangas, Argyro, Toppila-Salmi, Sanna, Willberg, Tytti, Saarentaus, Elmo, Aarnisalo, Antti, Salminen, Eveliina, Rahikkala, Elisa, Kettunen, Johannes, Aittomäki, Kristiina, Åberg, Fredrik, Kurki, Mitja, Ripatti, Samuli, Daly, Mark, Karjalainen, Juha, Havulinna, Aki, Mehtonen, Juha, Palta, Priit, Hassan, Shabbeer, Della Briotta Parolo, Pietro, Zhou, Wei, Maasha, Mutaamba, Hassan, Shabbeer, Lemmelä, Susanna, Rivas, Manuel, Palotie, Aarno, Liu, Aoxing, Lehisto, Arto, Ganna, Andrea, Llorens, Vincent, Laivuori, Hannele, Tukiainen, Taru, Reeve, Mary Pat, Heyne, Henrike, Mars, Nina, Rämö, Joel, Saarentaus, Elmo, Ollila, Hanna, Rodosthenous, Rodos, Strausz, Satu, Palotie, Tuula, Palin, Kimmo, Garcia-Tabuenca, Javier, Siirtola, Harri, Kiiskinen, Tuomo, Lee, Jiwoo, Tsuo, Kristin, Elliott, Amanda, Kristiansson, Kati, Arvas, Mikko, Hyvärinen, Kati, Ritari, Jarmo, Carpén, Olli, Kettunen, Johannes, Pylkäs, Katri, Sliz, Eeva, Karjalainen, Minna, Mantere, Tuomo, Kangasniemi, Eeva, Heikkinen, Sami, Mannermaa, Arto, Laakkonen, Eija, Pitkänen, Nina, Lessard, Samuel, Chatelain, Clément, Kallio, Lila, Wahlfors, Tiina, Partanen, Jukka, Punkka, Eero, Serpi, Raisa, Siltanen, Sanna, Kosma, Veli-Matti, Kuopio, Teijo, Jalanko, Anu, Shen, Huei-Yi, Kajanne, Risto, Aavikko, Mervi, Cooper, Helen, Öller, Denise, Leinonen, Rasko, Palin, Henna, Linna, Malla-Maria, Kurki, Mitja, Karjalainen, Juha, Della Briotta Parolo, Pietro, Lehisto, Arto, Mehtonen, Juha, Zhou, Wei, Kanai, Masahiro, Maasha, Mutaamba, Zheng, Zhili, Laivuori, Hannele, Havulinna, Aki, Lemmelä, Susanna, Kiiskinen, Tuomo, Lahtela, L. Elisa, Kaunisto, Mari, Kilpeläinen, Elina, Sipilä, Timo P., Dada, Oluwaseun Alexander, Ghazal, Awaisa, Kytölä, Anastasia, Weldatsadik, Rigbe, Ruotsalainen, Sanni, Donner, Kati, Sipilä, Timo P., Loukola, Anu, Laiho, Päivi, Sistonen, Tuuli, Kaiharju, Essi, Laukkanen, Markku, Järvensivu, Elina, Lähteenmäki, Sini, Männikkö, Lotta, Wong, Regis, Toivola, Auli, Brunfeldt, Minna, Mattsson, Hannele, Kristiansson, Kati, Lemmelä, Susanna, Koskelainen, Sami, Hiekkalinna, Tero, Paajanen, Teemu, Palta, Priit, Luo, Shuang, Laitinen, Tarja, Reeve, Mary Pat, Padmanabhuni, Shanmukha Sampath, Niemi, Marianna, Siirtola, Harri, Gracia-Tabuenca, Javier, Helminen, Mika, Luukkaala, Tiina, Vähätalo, Iida, Tammerluoto, Jyrki, Hautalahti, Marco, Mäkelä, Johanna, Smith, Sarah, Southerington, Tom, Lehto, Petri, Niiranen, Teemu, Sanna-Cherchi, Simone, Bauer, Kenneth A., Haj, Amelia, Choi, Seung Hoan, Palotie, Aarno, Daly, Mark, Ellinor, Patrick T., and Bendapudi, Pavan K.

Abstract

•Population-scale genomics (N = 937 939) allowed assembly of a large FVL/PTGM double-heterozygous cohort while mitigating ascertainment bias.•FVL/PTGM DH appeared to be more common than FVL homozygosity and conferred a similar risk of venous thrombosis.

Published
2024
Full Text
View/download PDF

34. Genetic effects on the timing of parturition and links to fetal birth weight

Author

Sole-Navais, Pol, primary, Flatley, Christopher, additional, Steinthorsdottir, Valgerdur, additional, Vaudel, Marc, additional, Juodakis, Julius, additional, Chen, Jing, additional, Laisk, Triin, additional, LaBella, Abigail L, additional, Westergaard, David, additional, Bacelis, …. Jonas, additional, Zhang, Ge, additional, and Jacobsson, Bo, additional

Published
2023
Full Text
View/download PDF

35. Broad interests reap benefits for science

Author

Adamowicz, Beth M., Chong, Derrick Ho Yan, Gutiérrez, Christopher, Matz, Jess, Fer, Evrim, Polat, Emre Ozan, MacKay, Harry, Galagedara, Ruwansha, Coste, Alexandre, Pupkaite, Justina, Farnoud, Amir M., Murphy, Colin W., White, Easton R., Rezic, Iva, Hartzell, Christine, Matia, Allison, Nicola, Marcela Viviana, Isaacson, Kyle J., Tiv, Mehrgol, Weinstein, Aliyah M., Ch’ng, Sarah, Sweeney, Melissa, Lipkin, Anna, Chakraborty, Sayantan, Sanganyado, Edmond, Anderson, Sarah Marie, Nguyen, Neilson, Laisk, Triin, and Favaro, Brett

Published
2018

36. The public health impact of poor sleep on severe COVID-19, influenza and upper respiratory infections

Author

Jones, Samuel E., primary, Maisha, Fahrisa I., additional, Strausz, Satu J., additional, Lammi, Vilma, additional, Cade, Brian E., additional, Tervi, Anniina, additional, Helaakoski, Viola, additional, Broberg, Martin E., additional, Lane, Jacqueline M., additional, Redline, Susan, additional, Saxena, Richa, additional, Ollila, Hanna M., additional, Palotie, Aarno, additional, Daly, Mark, additional, Riley-Gills, Bridget, additional, Jacob, Howard, additional, Paul, Dirk, additional, Petrovski, Slavé, additional, Runz, Heiko, additional, John, Sally, additional, Okafo, George, additional, Lawless, Nathan, additional, Salminen-Mankonen, Heli, additional, Plenge, Robert, additional, Maranville, Joseph, additional, McCarthy, Mark, additional, Ehm, Margaret G., additional, Auro, Kirsi, additional, Longerich, Simonne, additional, Mälarstig, Anders, additional, Klinger, Katherine, additional, Chatelain, Clement, additional, Gossel, Matthias, additional, Estrada, Karol, additional, Graham, Robert, additional, Yang, Robert, additional, O´Donnell, Chris, additional, Mäkelä, Tomi P., additional, Kaprio, Jaakko, additional, Virolainen, Petri, additional, Hakanen, Antti, additional, Kilpi, Terhi, additional, Perola, Markus, additional, Partanen, Jukka, additional, Pitkäranta, Anne, additional, Raivio, Taneli, additional, Tikkanen, Jani, additional, Serpi, Raisa, additional, Laitinen, Tarja, additional, Kosma, Veli-Matti, additional, Laukkanen, Jari, additional, Hautalahti, Marco, additional, Tuovila, Outi, additional, Pakkanen, Raimo, additional, Waring, Jeffrey, additional, Riley-Gillis, Bridget, additional, Rahimov, Fedik, additional, Tachmazidou, Ioanna, additional, Chen, Chia-Yen, additional, Ding, Zhihao, additional, Jung, Marc, additional, Biswas, Shameek, additional, Pendergrass, Rion, additional, Pulford, David, additional, Raghavan, Neha, additional, Huertas-Vazquez, Adriana, additional, Sul, Jae-Hoon, additional, Hu, Xinli, additional, Hedman, Åsa, additional, Rivas, Manuel, additional, Waterworth, Dawn, additional, Renaud, Nicole, additional, Obeidat, Ma´en, additional, Ripatti, Samuli, additional, Schleutker, Johanna, additional, Arvas, Mikko, additional, Carpén, Olli, additional, Hinttala, Reetta, additional, Kettunen, Johannes, additional, Mannermaa, Arto, additional, Aalto-Setälä, Katriina, additional, Kähönen, Mika, additional, Mäkelä, Johanna, additional, Kälviäinen, Reetta, additional, Julkunen, Valtteri, additional, Soininen, Hilkka, additional, Remes, Anne, additional, Hiltunen, Mikko, additional, Peltola, Jukka, additional, Raivio, Minna, additional, Tienari, Pentti, additional, Rinne, Juha, additional, Kallionpää, Roosa, additional, Partanen, Juulia, additional, Abbasi, Ali, additional, Ziemann, Adam, additional, Smaoui, Nizar, additional, Lehtonen, Anne, additional, Eaton, Susan, additional, Lahdenperä, Sanni, additional, Bowers, Natalie, additional, Teng, Edmond, additional, Xu, Fanli, additional, Addis, Laura, additional, Eicher, John, additional, Li, Qingqin S., additional, He, Karen, additional, Khramtsova, Ekaterina, additional, Färkkilä, Martti, additional, Koskela, Jukka, additional, Pikkarainen, Sampsa, additional, Jussila, Airi, additional, Kaukinen, Katri, additional, Blomster, Timo, additional, Kiviniemi, Mikko, additional, Voutilainen, Markku, additional, Lu, Tim, additional, McCarthy, Linda, additional, Hart, Amy, additional, Guan, Meijian, additional, Miller, Jason, additional, Kalpala, Kirsi, additional, Miller, Melissa, additional, Eklund, Kari, additional, Palomäki, Antti, additional, Isomäki, Pia, additional, Pirilä, Laura, additional, Kaipiainen-Seppänen, Oili, additional, Huhtakangas, Johanna, additional, Mars, Nina, additional, Lertratanakul, Apinya, additional, Viollet, Coralie, additional, Hochfeld, Marla, additional, Gordillo, Jorge Esparza, additional, Farias, Fabiana, additional, Bing, Nan, additional, Pelkonen, Margit, additional, Kauppi, Paula, additional, Kankaanranta, Hannu, additional, Harju, Terttu, additional, Lahesmaa, Riitta, additional, Chen, Hubert, additional, Betts, Joanna, additional, Mishra, Rajashree, additional, Mouded, Majd, additional, Ngo, Debby, additional, Niiranen, Teemu, additional, Vaura, Felix, additional, Salomaa, Veikko, additional, Metsärinne, Kaj, additional, Aittokallio, Jenni, additional, Hernesniemi, Jussi, additional, Gordin, Daniel, additional, Sinisalo, Juha, additional, Taskinen, Marja-Riitta, additional, Tuomi, Tiinamaija, additional, Hiltunen, Timo, additional, Elliott, Amanda, additional, Reeve, Mary Pat, additional, Ruotsalainen, Sanni, additional, Chu, Audrey, additional, Reilly, Dermot, additional, Mendelson, Mike, additional, Parkkinen, Jaakko, additional, Meretoja, Tuomo, additional, Joensuu, Heikki, additional, Mattson, Johanna, additional, Salminen, Eveliina, additional, Auranen, Annika, additional, Karihtala, Peeter, additional, Auvinen, Päivi, additional, Elenius, Klaus, additional, Pitkänen, Esa, additional, Popovic, Relja, additional, Fabre, Margarete, additional, Schutzman, Jennifer, additional, Kulkarni, Diptee, additional, Porello, Alessandro, additional, Loboda, Andrey, additional, Lehtonen, Heli, additional, McDonough, Stefan, additional, Vuoti, Sauli, additional, Kaarniranta, Kai, additional, Turunen, Joni A., additional, Ollila, Terhi, additional, Uusitalo, Hannu, additional, Karjalainen, Juha, additional, Liu, Mengzhen, additional, Loomis, Stephanie, additional, Strauss, Erich, additional, Chen, Hao, additional, Tasanen, Kaisa, additional, Huilaja, Laura, additional, Hannula-Jouppi, Katariina, additional, Salmi, Teea, additional, Peltonen, Sirkku, additional, Koulu, Leena, additional, Choy, David, additional, Wu, Ying, additional, Pussinen, Pirkko, additional, Salminen, Aino, additional, Salo, Tuula, additional, Rice, David, additional, Nieminen, Pekka, additional, Palotie, Ulla, additional, Siponen, Maria, additional, Suominen, Liisa, additional, Mäntylä, Päivi, additional, Gursoy, Ulvi, additional, Anttonen, Vuokko, additional, Sipilä, Kirsi, additional, Laivuori, Hannele, additional, Kurra, Venla, additional, Kotaniemi-Talonen, Laura, additional, Heikinheimo, Oskari, additional, Kalliala, Ilkka, additional, Aaltonen, Lauri, additional, Jokimaa, Varpu, additional, Vääräsmäki, Marja, additional, Uimari, Outi, additional, Morin-Papunen, Laure, additional, Niinimäki, Maarit, additional, Piltonen, Terhi, additional, Kivinen, Katja, additional, Widen, Elisabeth, additional, Tukiainen, Taru, additional, Välimäki, Niko, additional, Laakkonen, Eija, additional, Tyrmi, Jaakko, additional, Silven, Heidi, additional, Sliz, Eeva, additional, Arffman, Riikka, additional, Savukoski, Susanna, additional, Laisk, Triin, additional, Pujol, Natalia, additional, Kumar, Janet, additional, Hovatta, Iiris, additional, Isometsä, Erkki, additional, Ollila, Hanna, additional, Suvisaari, Jaana, additional, Als, Thomas Damm, additional, Mäkitie, Antti, additional, Bizaki-Vallaskangas, Argyro, additional, Toppila-Salmi, Sanna, additional, Willberg, Tytti, additional, Saarentaus, Elmo, additional, Aarnisalo, Antti, additional, Rahikkala, Elisa, additional, Aittomäki, Kristiina, additional, Åberg, Fredrik, additional, Kurki, Mitja, additional, Havulinna, Aki, additional, Mehtonen, Juha, additional, Palta, Priit, additional, Hassan, Shabbeer, additional, Della Briotta Parolo, Pietro, additional, Zhou, Wei, additional, Maasha, Mutaamba, additional, Lemmelä, Susanna, additional, Liu, Aoxing, additional, Lehisto, Arto, additional, Ganna, Andrea, additional, Llorens, Vincent, additional, Heyne, Henrike, additional, Rämö, Joel, additional, Rodosthenous, Rodos, additional, Strausz, Satu, additional, Palotie, Tuula, additional, Palin, Kimmo, additional, Garcia-Tabuenca, Javier, additional, Siirtola, Harri, additional, Kiiskinen, Tuomo, additional, Lee, Jiwoo, additional, Tsuo, Kristin, additional, Kristiansson, Kati, additional, Hyvärinen, Kati, additional, Ritari, Jarmo, additional, Pylkäs, Katri, additional, Karjalainen, Minna, additional, Mantere, Tuomo, additional, Kangasniemi, Eeva, additional, Heikkinen, Sami, additional, Pitkänen, Nina, additional, Lessard, Samuel, additional, Chatelain, Clément, additional, Kallio, Lila, additional, Wahlfors, Tiina, additional, Punkka, Eero, additional, Siltanen, Sanna, additional, Kuopio, Teijo, additional, Jalanko, Anu, additional, Shen, Huei-Yi, additional, Kajanne, Risto, additional, Aavikko, Mervi, additional, Leinonen, Rasko, additional, Palin, Henna, additional, Linna, Malla-Maria, additional, Kanai, Masahiro, additional, Zheng, Zhili, additional, Lahtela, L. Elisa, additional, Kaunisto, Mari, additional, Kilpeläinen, Elina, additional, Sipilä, Timo P., additional, Dada, Oluwaseun Alexander, additional, Ghazal, Awaisa, additional, Kytölä, Anastasia, additional, Weldatsadik, Rigbe, additional, Donner, Kati, additional, Loukola, Anu, additional, Laiho, Päivi, additional, Sistonen, Tuuli, additional, Kaiharju, Essi, additional, Laukkanen, Markku, additional, Järvensivu, Elina, additional, Lähteenmäki, Sini, additional, Männikkö, Lotta, additional, Wong, Regis, additional, Toivola, Auli, additional, Brunfeldt, Minna, additional, Mattsson, Hannele, additional, Koskelainen, Sami, additional, Hiekkalinna, Tero, additional, Paajanen, Teemu, additional, Pärn, Kalle, additional, Kals, Mart, additional, Luo, Shuang, additional, Padmanabhuni, Shanmukha Sampath, additional, Niemi, Marianna, additional, Gracia-Tabuenca, Javier, additional, Helminen, Mika, additional, Luukkaala, Tiina, additional, Vähätalo, Iida, additional, Tammerluoto, Jyrki, additional, Smith, Sarah, additional, Southerington, Tom, additional, and Lehto, Petri, additional

Published
2023
Full Text
View/download PDF

37. Genome-wide association study meta-analysis supports association between MUC1 and ectopic pregnancy.

Author

Gualdo, Natàlia Pujol, Team, Estonian Biobank Research, Mägi, Reedik, and Laisk, Triin

Subjects
ECTOPIC pregnancy, GENOME-wide association studies, LOCUS (Genetics), EMBRYO implantation, GENETIC correlations, PREGNANCY complications
Abstract

STUDY QUESTION Can we identify genetic variants associated with ectopic pregnancy by undertaking the first genome-wide association study (GWAS) leveraging two large-scale biobank initiatives? SUMMARY ANSWER We identified two novel genome-wide significant associations with ectopic pregnancy, highlighting MUC1 (mucin 1) as the most plausible affected gene. WHAT IS KNOWN ALREADY Ectopic pregnancy is an important cause of maternal morbidity and mortality worldwide. Despite being a common early pregnancy complication, the genetic predisposition to this condition remains understudied and no large scale genetic studies have been performed so far. STUDY DESIGN, SIZE, DURATION A GWAS meta-analysis including 7070 women with ectopic pregnancy and 248 810 controls from Estonian Biobank and the FinnGen study. PARTICIPANTS/MATERIALS, SETTING, METHODS We identified ectopic pregnancy cases from national registers by ICD (International Classification of Disease) codes (ICD-10 O00), and all remaining women were considered controls. We carried out standard GWAS meta-analysis and additionally annotated GWAS signals, analysed co-localization with quantitative trait loci, estimated genetic correlations and identified associated phenotypes to characterize the genetic signals, as well as to analyse the genetic and phenotypic relationships with the condition. MAIN RESULTS AND THE ROLE OF CHANCE We identified two genome-wide significant loci on chromosomes 1 (rs4971091, P  = 5.32 × 10−9) and 10 (rs11598956, P  = 2.41 × 10−8) potentially associated with ectopic pregnancy. Follow-up analyses propose MUC1 , which codes for an epithelial glycoprotein with an important role in barrier function, as the most likely candidate gene for the association on chromosome 1. We also characterize the phenotypic and genetic correlations with other phenotypes, identifying a genetic correlation with smoking and diseases of the (genito)urinary and gastrointestinal system, and phenotypic correlations with various reproductive health diagnoses, reflecting the previously known epidemiological associations. LARGE SCALE DATA The GWAS meta-analysis summary statistics are available from the GWAS Catalogue (GCST90272883). LIMITATIONS, REASONS FOR CAUTION The main limitation is that the findings are based on European-based ancestry populations, with limited data on other populations, and we only captured maternal genomes. Additionally, further larger meta-analysis or independent studies are needed to validate these findings. WIDER IMPLICATIONS OF THE FINDINGS This study encourages the use of large-scale genetic datasets to unravel genetic factors linked to ectopic pregnancy, which is difficult to study in experimental settings. Increased sample size might bring additional genetic factors associating with ectopic pregnancy and inform its heritability. Altogether, our results provide more insight into the biology of ectopic pregnancy and, accordingly, the biological processes governing embryo implantation. STUDY FUNDING/COMPETING INTEREST(S) N.P.G. was supported by MATER Marie Sklodowska-Curie which received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 813707. This study was funded by European Union through the European Regional Development Fund Project No. 2014-2020.4.01.15-0012 GENTRANSMED. Computations were performed in the High-Performance Computing Center of University of Tartu. The authors declare no competing interests. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

38. GWAS meta-analyses clarify the genetics of cervical phenotypes and inform risk stratification for cervical cancer

Author

Estonian Biobank Research Team, FinnGen, Koel, Mariann, Vosa, Urmo, Joeloo, Maarja, Läll, Kristi, Gualdo, Natalia P., Laivuori, Hannele, Lemmelä, Susanna, Daly, Mark, Palta, Priit, Mägi, Reedik, Laisk, Triin, Genomics of Neurological and Neuropsychiatric Disorders, Institute for Molecular Medicine Finland, Department of Medical and Clinical Genetics, Helsinki Institute of Life Science HiLIFE, HUS Helsinki and Uusimaa Hospital District, and Centre of Excellence in Complex Disease Genetics

Subjects
Heritability, Genome-wide association, 1182 Biochemistry, cell and molecular biology, Antigen class-ii, Expression, Diseases, Women, Susceptibility loci, Regression, Accuracy, Lichen-sclerosus
Abstract

Genome-wide association studies (GWAS) have successfully identified associations for cervical cancer, but the underlying mechanisms of cervical biology and pathology remain uncharacterised. Our GWAS meta-analyses fill this gap, as we characterise the genetic architecture of cervical phenotypes, including cervical ectropion, cervicitis, cervical dysplasia, as well as up to 9229 cases and 490 304 controls for cervical cancer from diverse ancestries. Leveraging the latest computational methods and gene expression data, we refine the association signals for cervical cancer and propose potential causal variants and genes at each locus. We prioritise PAX8/PAX8-AS1, LINC00339, CDC42, CLPTM1L, HLA-DRB1 and GSDMB as the most likely candidate genes for cervical cancer signals, providing insights into cervical cancer pathogenesis and supporting the involvement of reproductive tract development, immune response and cellular proliferation/apoptosis. We construct a genetic risk score (GRS) that is associated with cervical cancer [hazard ratios (HR) = 3.1 (1.7-5.6) for the top 15% vs lowest 15% of individuals], and with other HPV- and immune-system-related diagnoses in a phenome-wide association study analysis. Our results propose valuable leads for further functional studies and present a GRS for cervical cancer that allows additional risk stratification and could potentially be used to personalise the conventional screening strategies for groups more susceptible to cervical cancer.

Published
2023

40. Genetic effects on the timing of parturition and links to fetal birth weight:[Inkl. Correction]

Author

Solé-Navais, Pol, Flatley, Christopher, Steinthorsdottir, Valgerdur, Vaudel, Marc, Juodakis, Julius, Chen, Jing, Laisk, Triin, LaBella, Abigail L., Westergaard, David, Bacelis, Jonas, Brumpton, Ben, Skotte, Line, Borges, Maria C., Helgeland, Øyvind, Mahajan, Anubha, Wielscher, Matthias, Lin, Frederick, Briggs, Catherine, Wang, Carol A., Moen, Gunn Helen, Beaumont, Robin N., Bradfield, Jonathan P., Abraham, Abin, Thorleifsson, Gudmar, Gabrielsen, Maiken E., Ostrowski, Sisse R., Modzelewska, Dominika, Nohr, Ellen A., Hypponen, Elina, Srivastava, Amit, Talbot, Octavious, Allard, Catherine, Williams, Scott M., Menon, Ramkumar, Shields, Beverley M., Sveinbjornsson, Gardar, Xu, Huan, Melbye, Mads, Lowe, William, Bouchard, Luigi, Oken, Emily, Pedersen, Ole B., Gudbjartsson, Daniel F., Erikstrup, Christian, Sørensen, Erik, McCarthy, Mark I., Lie, Rolv T., Ullum, Henrik, Nyegaard, Mette, Nielsen, Henriette S., Solé-Navais, Pol, Flatley, Christopher, Steinthorsdottir, Valgerdur, Vaudel, Marc, Juodakis, Julius, Chen, Jing, Laisk, Triin, LaBella, Abigail L., Westergaard, David, Bacelis, Jonas, Brumpton, Ben, Skotte, Line, Borges, Maria C., Helgeland, Øyvind, Mahajan, Anubha, Wielscher, Matthias, Lin, Frederick, Briggs, Catherine, Wang, Carol A., Moen, Gunn Helen, Beaumont, Robin N., Bradfield, Jonathan P., Abraham, Abin, Thorleifsson, Gudmar, Gabrielsen, Maiken E., Ostrowski, Sisse R., Modzelewska, Dominika, Nohr, Ellen A., Hypponen, Elina, Srivastava, Amit, Talbot, Octavious, Allard, Catherine, Williams, Scott M., Menon, Ramkumar, Shields, Beverley M., Sveinbjornsson, Gardar, Xu, Huan, Melbye, Mads, Lowe, William, Bouchard, Luigi, Oken, Emily, Pedersen, Ole B., Gudbjartsson, Daniel F., Erikstrup, Christian, Sørensen, Erik, McCarthy, Mark I., Lie, Rolv T., Ullum, Henrik, Nyegaard, Mette, and Nielsen, Henriette S.

Abstract

The timing of parturition is crucial for neonatal survival and infant health. Yet, its genetic basis remains largely unresolved. We present a maternal genome-wide meta-analysis of gestational duration (n = 195,555), identifying 22 associated loci (24 independent variants) and an enrichment in genes differentially expressed during labor. A meta-analysis of preterm delivery (18,797 cases, 260,246 controls) revealed six associated loci and large genetic similarities with gestational duration. Analysis of the parental transmitted and nontransmitted alleles (n = 136,833) shows that 15 of the gestational duration genetic variants act through the maternal genome, whereas 7 act both through the maternal and fetal genomes and 2 act only via the fetal genome. Finally, the maternal effects on gestational duration show signs of antagonistic pleiotropy with the fetal effects on birth weight: maternal alleles that increase gestational duration have negative fetal effects on birth weight. The present study provides insights into the genetic effects on the timing of parturition and the complex maternal–fetal relationship between gestational duration and birth weight.

Published
2023

41. Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts

Author

Wang, Ying, Namba, Shinichi, Lopera-Maya, Esteban A., Kerminen, Sini, Tsuo, Kristin, Läll, Kristi, Kanai, Masahiro, Zhou, Wei, Wu, Kuan Han H., Favé, Marie Julie, Bhatta, Laxmi, Awadalla, Philip, Brumpton, Ben M., Deelen, Patrick, Hveem, Kristian, Lo Faro, Valeria, Mägi, Reedik, Murakami, Yoshinori, Sanna, Serena, Smoller, Jordan W., Uzunovic, Jasmina, Wolford, Brooke N., Rasheed, Humaira, Hirbo, Jibril B., Bhattacharya, Arjun, Zhao, Huiling, Surakka, Ida, Chapman, Sinéad B., Karjalainen, Juha, Kurki, Mitja, Mutaamba, Maasha, Partanen, Juulia J., Chavan, Sameer, Chen, Tzu Ting, Daya, Michelle, Ding, Yi, Feng, Yen Chen A., Gignoux, Christopher R., Graham, Sarah E., Hornsby, Whitney E., Ingold, Nathan, Johnson, Ruth, Laisk, Triin, Lin, Kuang, Lv, Jun, Millwood, Iona Y., Loos, Ruth J.F., Wang, Ying, Namba, Shinichi, Lopera-Maya, Esteban A., Kerminen, Sini, Tsuo, Kristin, Läll, Kristi, Kanai, Masahiro, Zhou, Wei, Wu, Kuan Han H., Favé, Marie Julie, Bhatta, Laxmi, Awadalla, Philip, Brumpton, Ben M., Deelen, Patrick, Hveem, Kristian, Lo Faro, Valeria, Mägi, Reedik, Murakami, Yoshinori, Sanna, Serena, Smoller, Jordan W., Uzunovic, Jasmina, Wolford, Brooke N., Rasheed, Humaira, Hirbo, Jibril B., Bhattacharya, Arjun, Zhao, Huiling, Surakka, Ida, Chapman, Sinéad B., Karjalainen, Juha, Kurki, Mitja, Mutaamba, Maasha, Partanen, Juulia J., Chavan, Sameer, Chen, Tzu Ting, Daya, Michelle, Ding, Yi, Feng, Yen Chen A., Gignoux, Christopher R., Graham, Sarah E., Hornsby, Whitney E., Ingold, Nathan, Johnson, Ruth, Laisk, Triin, Lin, Kuang, Lv, Jun, Millwood, Iona Y., and Loos, Ruth J.F.

Abstract

Polygenic risk scores (PRSs) have been widely explored in precision medicine. However, few studies have thoroughly investigated their best practices in global populations across different diseases. We here utilized data from Global Biobank Meta-analysis Initiative (GBMI) to explore methodological considerations and PRS performance in 9 different biobanks for 14 disease endpoints. Specifically, we constructed PRSs using pruning and thresholding (P + T) and PRS-continuous shrinkage (CS). For both methods, using a European-based linkage disequilibrium (LD) reference panel resulted in comparable or higher prediction accuracy compared with several other non-European-based panels. PRS-CS overall outperformed the classic P + T method, especially for endpoints with higher SNP-based heritability. Notably, prediction accuracy is heterogeneous across endpoints, biobanks, and ancestries, especially for asthma, which has known variation in disease prevalence across populations. Overall, we provide lessons for PRS construction, evaluation, and interpretation using GBMI resources and highlight the importance of best practices for PRS in the biobank-scale genomics era.

Published
2023

42. Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease

Author

Zhou, Wei, Kanai, Masahiro, Wu, Kuan-Han H, Rasheed, Humaira, Tsuo, Kristin, Hirbo, Jibril B, Wang, Ying, Bhattacharya, Arjun, Zhao, Huiling, Namba, Shinichi, Surakka, Ida, Wolford, Brooke N, Lo Faro, Valeria, Lopera-Maya, Esteban A, Läll, Kristi, Favé, Marie-Julie, Partanen, Juulia J, Chapman, Sinéad B, Karjalainen, Juha, Kurki, Mitja, Maasha, Mutaamba, Brumpton, Ben M, Chavan, Sameer, Chen, Tzu-Ting, Daya, Michelle, Ding, Yi, Feng, Yen-Chen A, Guare, Lindsay A, Gignoux, Christopher R, Graham, Sarah E, Hornsby, Whitney E, Ingold, Nathan, Ismail, Said I, Johnson, Ruth, Laisk, Triin, Lin, Kuang, Lv, Jun, Millwood, Iona Y, Moreno-Grau, Sonia, Nam, Kisung, Palta, Priit, Pandit, Anita, Preuss, Michael H, Saad, Chadi, Setia-Verma, Shefali, Thorsteinsdottir, Unnur, Uzunovic, Jasmina, Verma, Anurag, Zawistowski, Matthew, Zhong, Xue, Afifi, Nahla, Al-Dabhani, Kawthar M, Al Thani, Asma, Bradford, Yuki, Campbell, Archie, Crooks, Kristy, De Bock, Geertruida H, Damrauer, Scott M, Douville, Nicholas J, Finer, Sarah, Fritsche, Lars G, Fthenou, Eleni, Gonzalez-Arroyo, Gilberto, Griffiths, Christopher J, Guo, Yu, Hunt, Karen A, Ioannidis, Alexander, Jansonius, Nomdo M, Konuma, Takahiro, Lee, Ming Ta Michael, Lopez-Pineda, Arturo, Matsuda, Yuta, Marioni, Riccardo E, Moatamed, Babak, Nava-Aguilar, Marco A, Numakura, Kensuke, Patil, Snehal, Rafaels, Nicholas, Richmond, Anne, Rojas-Muñoz, Agustin, Shortt, Jonathan A, Straub, Peter, Tao, Ran, Vanderwerff, Brett, Vernekar, Manvi, Veturi, Yogasudha, Barnes, Kathleen C, Boezen, Marike, Chen, Zhengming, Chen, Chia-Yen, Cho, Judy, Smith, George Davey, Finucane, Hilary K, Franke, Lude, Gamazon, Eric R, Ganna, Andrea, Gaunt, Tom R, Ge, Tian, Huang, Hailiang, Huffman, Jennifer, Katsanis, Nicholas, Koskela, Jukka T, Lajonchere, Clara, Law, Matthew H, Li, Liming, Lindgren, Cecilia M, Loos, Ruth JF, MacGregor, Stuart, Matsuda, Koichi, Olsen, Catherine M, Porteous, David J, Shavit, Jordan A, Snieder, Harold, Takano, Tomohiro, Trembath, Richard C, Vonk, Judith M, Whiteman, David C, Wicks, Stephen J, Wijmenga, Cisca, Wright, John, Zheng, Jie, Zhou, Xiang, Awadalla, Philip, Boehnke, Michael, Bustamante, Carlos D, Cox, Nancy J, Fatumo, Segun, Geschwind, Daniel H, Hayward, Caroline, Hveem, Kristian, Kenny, Eimear E, Lee, Seunggeun, Lin, Yen-Feng, Mbarek, Hamdi, Mägi, Reedik, Martin, Hilary C, Medland, Sarah E, Okada, Yukinori, Palotie, Aarno V, Pasaniuc, Bogdan, Rader, Daniel J, Ritchie, Marylyn D, Sanna, Serena, Smoller, Jordan W, Stefansson, Kari, Van Heel, David A, Walters, Robin G, Zöllner, Sebastian, Biobank Of The Americas, Biobank Japan Project, BioMe, BioVU, CanPath-Ontario Health Study, China Kadoorie Biobank Collaborative Group, Colorado Center For Personalized Medicine, DeCODE Genetics, Estonian Biobank, FinnGen, Generation Scotland, Genes & Health Research Team, LifeLines, Mass General Brigham Biobank, Michigan Genomics Initiative, National Biobank Of Korea, Penn Medicine BioBank, Qatar Biobank, QSkin Sun And Health Study, Taiwan Biobank, HUNT Study, UCLA ATLAS Community Health Initiative, Uganda Genome Resource, UK Biobank, Martin, Alicia R, Willer, Cristen J, Daly, Mark J, Neale, Benjamin M, Namba, Shinichi [0000-0002-7486-3146], Guare, Lindsay A [0000-0001-6988-5319], Palta, Priit [0000-0001-9320-7008], de Bock, Geertruida H [0000-0003-3104-4471], Finer, Sarah [0000-0002-2684-4653], Jansonius, Nomdo M [0000-0002-6495-6568], Rojas-Muñoz, Agustin [0000-0001-7594-0599], Gamazon, Eric R [0000-0003-4204-8734], Ganna, Andrea [0000-0002-8147-240X], Koskela, Jukka T [0000-0002-0154-7222], MacGregor, Stuart [0000-0001-6731-8142], Palotie, Aarno V [0000-0002-2527-5874], and Apollo - University of Cambridge Repository

Subjects
biobank, meta-analysis, genetic association studies, GWAS, ancestry diversity, phenotype harmonization
Abstract

Funder: Biogen, Biobanks facilitate genome-wide association studies (GWASs), which have mapped genomic loci across a range of human diseases and traits. However, most biobanks are primarily composed of individuals of European ancestry. We introduce the Global Biobank Meta-analysis Initiative (GBMI)-a collaborative network of 23 biobanks from 4 continents representing more than 2.2 million consented individuals with genetic data linked to electronic health records. GBMI meta-analyzes summary statistics from GWASs generated using harmonized genotypes and phenotypes from member biobanks for 14 exemplar diseases and endpoints. This strategy validates that GWASs conducted in diverse biobanks can be integrated despite heterogeneity in case definitions, recruitment strategies, and baseline characteristics. This collaborative effort improves GWAS power for diseases, benefits understudied diseases, and improves risk prediction while also enabling the nomination of disease genes and drug candidates by incorporating gene and protein expression data and providing insight into the underlying biology of human diseases and traits.

Published
2023
Full Text
View/download PDF

43. Polygenic prediction of preeclampsia and gestational hypertension

Author

Honigberg, Michael C., Truong, Buu, Khan, Raiyan R., Xiao, Brenda, Bhatta, Laxmi, Vy, Ha My T., Guerrero, Rafael F., Schuermans, Art, Selvaraj, Margaret Sunitha, Patel, Aniruddh P., Koyama, Satoshi, Cho, So Mi Jemma, Vellarikkal, Shamsudheen Karuthedath, Trinder, Mark, Urbut, Sarah M., Gray, Kathryn J., Brumpton, Ben M., Patil, Snehal, Zöllner, Sebastian, Antopia, Mariah C., Saxena, Richa, Nadkarni, Girish N., Do, Ron, Yan, Qi, Pe’er, Itsik, Verma, Shefali Setia, Gupta, Rajat M., Haas, David M., Martin, Hilary C., van Heel, David A., Laisk, Triin, and Natarajan, Pradeep

Abstract

Preeclampsia and gestational hypertension are common pregnancy complications associated with adverse maternal and child outcomes. Current tools for prediction, prevention and treatment are limited. Here we tested the association of maternal DNA sequence variants with preeclampsia in 20,064 cases and 703,117 control individuals and with gestational hypertension in 11,027 cases and 412,788 control individuals across discovery and follow-up cohorts using multi-ancestry meta-analysis. Altogether, we identified 18 independent loci associated with preeclampsia/eclampsia and/or gestational hypertension, 12 of which are new (for example, MTHFR–CLCN6, WNT3A, NPR3, PGRand RGL3), including two loci (PLCE1and FURIN) identified in the multitrait analysis. Identified loci highlight the role of natriuretic peptide signaling, angiogenesis, renal glomerular function, trophoblast development and immune dysregulation. We derived genome-wide polygenic risk scores that predicted preeclampsia/eclampsia and gestational hypertension in external cohorts, independent of clinical risk factors, and reclassified eligibility for low-dose aspirin to prevent preeclampsia. Collectively, these findings provide mechanistic insights into the hypertensive disorders of pregnancy and have the potential to advance pregnancy risk stratification.

Published
2024
Full Text
View/download PDF

45. Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts

Author

Wang, Ying, primary, Namba, Shinichi, additional, Lopera, Esteban, additional, Kerminen, Sini, additional, Tsuo, Kristin, additional, Läll, Kristi, additional, Kanai, Masahiro, additional, Zhou, Wei, additional, Wu, Kuan-Han, additional, Favé, Marie-Julie, additional, Bhatta, Laxmi, additional, Awadalla, Philip, additional, Brumpton, Ben, additional, Deelen, Patrick, additional, Hveem, Kristian, additional, Lo Faro, Valeria, additional, Mägi, Reedik, additional, Murakami, Yoshinori, additional, Sanna, Serena, additional, Smoller, Jordan W., additional, Uzunovic, Jasmina, additional, Wolford, Brooke N., additional, Willer, Cristen, additional, Gamazon, Eric R., additional, Cox, Nancy J., additional, Surakka, Ida, additional, Okada, Yukinori, additional, Martin, Alicia R., additional, Hirbo, Jibril, additional, Wu, Kuan-Han H., additional, Rasheed, Humaira, additional, Hirbo, Jibril B., additional, Wang, Ying, additional, Bhattacharya, Arjun, additional, Zhao, Huiling, additional, Lopera-Maya, Esteban A., additional, Chapman, Sinéad B., additional, Karjalainen, Juha, additional, Kurki, Mitja, additional, Mutaamba, Maasha, additional, Partanen, Juulia J., additional, Brumpton, Ben M., additional, Chavan, Sameer, additional, Chen, Tzu-Ting, additional, Daya, Michelle, additional, Ding, Yi, additional, Feng, Yen-Chen A., additional, Gignoux, Christopher R., additional, Graham, Sarah E., additional, Hornsby, Whitney E., additional, Ingold, Nathan, additional, Johnson, Ruth, additional, Laisk, Triin, additional, Lin, Kuang, additional, Lv, Jun, additional, Millwood, Iona Y., additional, Palta, Priit, additional, Pandit, Anita, additional, Preuss, Michael H., additional, Thorsteinsdottir, Unnur, additional, Zawistowski, Matthew, additional, Zhong, Xue, additional, Campbell, Archie, additional, Crooks, Kristy, additional, de Bock, Geertruida H., additional, Douville, Nicholas J., additional, Finer, Sarah, additional, Fritsche, Lars G., additional, Griffiths, Christopher J., additional, Guo, Yu, additional, Hunt, Karen A., additional, Konuma, Takahiro, additional, Marioni, Riccardo E., additional, Nomdo, Jansonius, additional, Patil, Snehal, additional, Rafaels, Nicholas, additional, Richmond, Anne, additional, Shortt, Jonathan A., additional, Straub, Peter, additional, Tao, Ran, additional, Vanderwerff, Brett, additional, Barnes, Kathleen C., additional, Boezen, Marike, additional, Chen, Zhengming, additional, Chen, Chia-Yen, additional, Cho, Judy, additional, Smith, George Davey, additional, Finucane, Hilary K., additional, Franke, Lude, additional, Ganna, Andrea, additional, Gaunt, Tom R., additional, Ge, Tian, additional, Huang, Hailiang, additional, Huffman, Jennifer, additional, Koskela, Jukka T., additional, Lajonchere, Clara, additional, Law, Matthew H., additional, Li, Liming, additional, Lindgren, Cecilia M., additional, Loos, Ruth J.F., additional, MacGregor, Stuart, additional, Matsuda, Koichi, additional, Olsen, Catherine M., additional, Porteous, David J., additional, Shavit, Jordan A., additional, Snieder, Harold, additional, Trembath, Richard C., additional, Vonk, Judith M., additional, Whiteman, David, additional, Wicks, Stephen J., additional, Wijmenga, Cisca, additional, Wright, John, additional, Zheng, Jie, additional, Zhou, Xiang, additional, Boehnke, Michael, additional, Geschwind, Daniel H., additional, Hayward, Caroline, additional, Kenny, Eimear E., additional, Lin, Yen-Feng, additional, Martin, Hilary C., additional, Medland, Sarah E., additional, Palotie, Aarno V., additional, Pasaniuc, Bogdan, additional, Stefansson, Kari, additional, van Heel, David A., additional, Walters, Robin G., additional, Zöllner, Sebastian, additional, Willer, Cristen J., additional, Daly, Mark J., additional, and Neale, Benjamin M., additional

Published
2023
Full Text
View/download PDF

46. FinnGen provides genetic insights from a well-phenotyped isolated population

Author

Kurki, Mitja I, Karjalainen, Juha, Palta, Priit, Sipilä, Timo P, Kristiansson, Kati, Donner, Kati M, Reeve, Mary P, Laivuori, Hannele, Aavikko, Mervi, Kaunisto, Mari A, Loukola, Anu, Lahtela, Elisa, Mattsson, Hannele, Laiho, Päivi, Della Briotta Parolo, Pietro, Lehisto, Arto A, Kanai, Masahiro, Mars, Nina, Rämö, Joel, Kiiskinen, Tuomo, Heyne, Henrike O, Veerapen, Kumar, Rüeger, Sina, Lemmelä, Susanna, Zhou, Wei, Ruotsalainen, Sanni, Pärn, Kalle, Hiekkalinna, Tero, Koskelainen, Sami, Paajanen, Teemu, Llorens, Vincent, Gracia-Tabuenca, Javier, Siirtola, Harri, Reis, Kadri, Elnahas, Abdelrahman G, Sun, Benjamin, Foley, Christopher N, Aalto-Setälä, Katriina, Alasoo, Kaur, Arvas, Mikko, Auro, Kirsi, Biswas, Shameek, Bizaki-Vallaskangas, Argyro, Carpen, Olli, Chen, Chia-Yen, Dada, Oluwaseun A, Ding, Zhihao, Ehm, Margaret G, Eklund, Kari, Färkkilä, Martti, Finucane, Hilary, Ganna, Andrea, Ghazal, Awaisa, Graham, Robert R, Green, Eric M, Hakanen, Antti, Hautalahti, Marco, Hedman, Åsa K, Hiltunen, Mikko, Hinttala, Reetta, Hovatta, Iiris, Hu, Xinli, Huertas-Vazquez, Adriana, Huilaja, Laura, Hunkapiller, Julie, Jacob, Howard, Jensen, Jan-Nygaard, Joensuu, Heikki, John, Sally, Julkunen, Valtteri, Jung, Marc, Junttila, Juhani, Kaarniranta, Kai, Kähönen, Mika, Kajanne, Risto, Kallio, Lila, Kälviäinen, Reetta, Kaprio, Jaakko, FinnGen, Kerimov, Nurlan, Kettunen, Johannes, Kilpeläinen, Elina, Kilpi, Terhi, Klinger, Katherine, Kosma, Veli-Matti, Kuopio, Teijo, Kurra, Venla, Laisk, Triin, Laukkanen, Jari, Lawless, Nathan, Liu, Aoxing, Longerich, Simonne, Mägi, Reedik, Mäkelä, Johanna, Mäkitie, Antti, Malarstig, Anders, Mannermaa, Arto, Maranville, Joseph, Matakidou, Athena, Meretoja, Tuomo, Mozaffari, Sahar V, Niemi, Mari EK, Niemi, Marianna, Niiranen, Teemu, O Donnell, Christopher J, Obeidat, Ma En, Okafo, George, Ollila, Hanna M, Palomäki, Antti, Palotie, Tuula, Partanen, Jukka, Paul, Dirk S, Pelkonen, Margit, Pendergrass, Rion K, Petrovski, Slavé, Pitkäranta, Anne, Platt, Adam, Pulford, David, Punkka, Eero, Pussinen, Pirkko, Raghavan, Neha, Rahimov, Fedik, Rajpal, Deepak, Renaud, Nicole A, Riley-Gillis, Bridget, Rodosthenous, Rodosthenis, Saarentaus, Elmo, Salminen, Aino, Salminen, Eveliina, Salomaa, Veikko, Schleutker, Johanna, Serpi, Raisa, Shen, Huei-Yi, Siegel, Richard, Silander, Kaisa, Siltanen, Sanna, Soini, Sirpa, Soininen, Hilkka, Sul, Jae Hoon, Tachmazidou, Ioanna, Tasanen, Kaisa, Tienari, Pentti, Toppila-Salmi, Sanna, Tukiainen, Taru, Tuomi, Tiinamaija, Turunen, Joni A, Ulirsch, Jacob C, Vaura, Felix, Virolainen, Petri, Waring, Jeffrey, Waterworth, Dawn, Yang, Robert, Nelis, Mari, Reigo, Anu, Metspalu, Andres, Milani, Lili, Esko, Tõnu, Fox, Caroline, Havulinna, Aki S, Perola, Markus, Ripatti, Samuli, Jalanko, Anu, Laitinen, Tarja, Mäkelä, Tomi P, Plenge, Robert, McCarthy, Mark, Runz, Heiko, Daly, Mark J, Palotie, Aarno, Palotie, Aarno [0000-0002-2527-5874], and Apollo - University of Cambridge Repository

Subjects
Estonia, 631/208/205/2138, 692/308/2056, 45/43, article, Middle Aged, United Kingdom, White People, 631/208/457/649/2219, Phenotype, Gene Frequency, Meta-Analysis as Topic, 631/208/727/2000, Humans, Disease, Genetic Predisposition to Disease, Finland, Genome-Wide Association Study
Abstract

Population isolates such as those in Finland benefit genetic research because deleterious alleles are often concentrated on a small number of low-frequency variants (0.1% ≤ minor allele frequency < 5%). These variants survived the founding bottleneck rather than being distributed over a large number of ultrarare variants. Although this effect is well established in Mendelian genetics, its value in common disease genetics is less explored1,2. FinnGen aims to study the genome and national health register data of 500,000 Finnish individuals. Given the relatively high median age of participants (63 years) and the substantial fraction of hospital-based recruitment, FinnGen is enriched for disease end points. Here we analyse data from 224,737 participants from FinnGen and study 15 diseases that have previously been investigated in large genome-wide association studies (GWASs). We also include meta-analyses of biobank data from Estonia and the United Kingdom. We identified 30 new associations, primarily low-frequency variants, enriched in the Finnish population. A GWAS of 1,932 diseases also identified 2,733 genome-wide significant associations (893 phenome-wide significant (PWS), P < 2.6 × 10-11) at 2,496 (771 PWS) independent loci with 807 (247 PWS) end points. Among these, fine-mapping implicated 148 (73 PWS) coding variants associated with 83 (42 PWS) end points. Moreover, 91 (47 PWS) had an allele frequency of

Published
2023
Full Text
View/download PDF

47. HAPPY: A deep learning pipeline for mapping cell-to-tissue graphs across placenta histology whole slide images

Author

Vanea, Claudia, primary, Džigurski, Jelisaveta, additional, Rukins, Valentina, additional, Dodi, Omri, additional, Siigur, Siim, additional, Salumäe, Liis, additional, Meir, Karen, additional, Parks, W. Tony, additional, Hochner-Celnikier, Drorith, additional, Fraser, Abigail, additional, Hochner, Hagit, additional, Laisk, Triin, additional, Ernst, Linda M., additional, Lindgren, Cecilia M., additional, and Nellåker, Christoffer, additional

Published
2022
Full Text
View/download PDF

49. Global Biobank Meta-analysis Initiative:Powering genetic discovery across human disease

Author

Zhou, Wei, Kanai, Masahiro, Wu, Kuan Han H., Rasheed, Humaira, Tsuo, Kristin, Hirbo, Jibril B., Wang, Ying, Bhattacharya, Arjun, Zhao, Huiling, Namba, Shinichi, Surakka, Ida, Wolford, Brooke N., Lo Faro, Valeria, Lopera-Maya, Esteban A., Läll, Kristi, Favé, Marie Julie, Partanen, Juulia J., Chapman, Sinéad B., Karjalainen, Juha, Kurki, Mitja, Maasha, Mutaamba, Brumpton, Ben M., Chavan, Sameer, Chen, Tzu Ting, Daya, Michelle, Ding, Yi, Feng, Yen Chen A., Guare, Lindsay A., Gignoux, Christopher R., Graham, Sarah E., Hornsby, Whitney E., Ingold, Nathan, Ismail, Said I., Johnson, Ruth, Laisk, Triin, Lin, Kuang, Lv, Jun, Millwood, Iona Y., Moreno-Grau, Sonia, Nam, Kisung, Palta, Priit, Pandit, Anita, Preuss, Michael H., Saad, Chadi, Setia-Verma, Shefali, Thorsteinsdottir, Unnur, Uzunovic, Jasmina, Verma, Anurag, Zawistowski, Matthew, Loos, Ruth J.F., Zhou, Wei, Kanai, Masahiro, Wu, Kuan Han H., Rasheed, Humaira, Tsuo, Kristin, Hirbo, Jibril B., Wang, Ying, Bhattacharya, Arjun, Zhao, Huiling, Namba, Shinichi, Surakka, Ida, Wolford, Brooke N., Lo Faro, Valeria, Lopera-Maya, Esteban A., Läll, Kristi, Favé, Marie Julie, Partanen, Juulia J., Chapman, Sinéad B., Karjalainen, Juha, Kurki, Mitja, Maasha, Mutaamba, Brumpton, Ben M., Chavan, Sameer, Chen, Tzu Ting, Daya, Michelle, Ding, Yi, Feng, Yen Chen A., Guare, Lindsay A., Gignoux, Christopher R., Graham, Sarah E., Hornsby, Whitney E., Ingold, Nathan, Ismail, Said I., Johnson, Ruth, Laisk, Triin, Lin, Kuang, Lv, Jun, Millwood, Iona Y., Moreno-Grau, Sonia, Nam, Kisung, Palta, Priit, Pandit, Anita, Preuss, Michael H., Saad, Chadi, Setia-Verma, Shefali, Thorsteinsdottir, Unnur, Uzunovic, Jasmina, Verma, Anurag, Zawistowski, Matthew, and Loos, Ruth J.F.

Abstract

Biobanks facilitate genome-wide association studies (GWASs), which have mapped genomic loci across a range of human diseases and traits. However, most biobanks are primarily composed of individuals of European ancestry. We introduce the Global Biobank Meta-analysis Initiative (GBMI)—a collaborative network of 23 biobanks from 4 continents representing more than 2.2 million consented individuals with genetic data linked to electronic health records. GBMI meta-analyzes summary statistics from GWASs generated using harmonized genotypes and phenotypes from member biobanks for 14 exemplar diseases and endpoints. This strategy validates that GWASs conducted in diverse biobanks can be integrated despite heterogeneity in case definitions, recruitment strategies, and baseline characteristics. This collaborative effort improves GWAS power for diseases, benefits understudied diseases, and improves risk prediction while also enabling the nomination of disease genes and drug candidates by incorporating gene and protein expression data and providing insight into the underlying biology of human diseases and traits.

Published
2022

50. FinnGen: Unique genetic insights from combining isolated population and national health register data

Author

Kurki, Mitja I., primary, Karjalainen, Juha, additional, Palta, Priit, additional, Sipilä, Timo P., additional, Kristiansson, Kati, additional, Donner, Kati, additional, Reeve, Mary P., additional, Laivuori, Hannele, additional, Aavikko, Mervi, additional, Kaunisto, Mari A., additional, Loukola, Anu, additional, Lahtela, Elisa, additional, Mattsson, Hannele, additional, Laiho, Päivi, additional, Della Briotta Parolo, Pietro, additional, Lehisto, Arto, additional, Kanai, Masahiro, additional, Mars, Nina, additional, Rämö, Joel, additional, Kiiskinen, Tuomo, additional, Heyne, Henrike O., additional, Veerapen, Kumar, additional, Rüeger, Sina, additional, Lemmelä, Susanna, additional, Zhou, Wei, additional, Ruotsalainen, Sanni, additional, Pärn, Kalle, additional, Hiekkalinna, Tero, additional, Koskelainen, Sami, additional, Paajanen, Teemu, additional, Llorens, Vincent, additional, Gracia-Tabuenca, Javier, additional, Siirtola, Harri, additional, Reis, Kadri, additional, Elnahas, Abdelrahman G., additional, Aalto-Setälä, Katriina, additional, Alasoo, Kaur, additional, Arvas, Mikko, additional, Auro, Kirsi, additional, Biswas, Shameek, additional, Bizaki-Vallaskangas, Argyro, additional, Carpen, Olli, additional, Chen, Chia-Yen, additional, Dada, Oluwaseun A., additional, Ding, Zhihao, additional, Ehm, Margaret G., additional, Eklund, Kari, additional, Färkkilä, Martti, additional, Finucane, Hilary, additional, Ganna, Andrea, additional, Ghazal, Awaisa, additional, Graham, Robert R., additional, Green, Eric, additional, Hakanen, Antti, additional, Hautalahti, Marco, additional, Hedman, Åsa, additional, Hiltunen, Mikko, additional, Hinttala, Reetta, additional, Hovatta, Iiris, additional, Hu, Xinli, additional, Huertas-Vazquez, Adriana, additional, Huilaja, Laura, additional, Hunkapiller, Julie, additional, Jacob, Howard, additional, Jensen, Jan-Nygaard, additional, Joensuu, Heikki, additional, John, Sally, additional, Julkunen, Valtteri, additional, Jung, Marc, additional, Junttila, Juhani, additional, Kaarniranta, Kai, additional, Kähönen, Mika, additional, Kajanne, Risto M., additional, Kallio, Lila, additional, Kälviäinen, Reetta, additional, Kaprio, Jaakko, additional, Kerimov, Nurlan, additional, Kettunen, Johannes, additional, Kilpeläinen, Elina, additional, Kilpi, Terhi, additional, Klinger, Katherine, additional, Kosma, Veli-Matti, additional, Kuopio, Teijo, additional, Kurra, Venla, additional, Laisk, Triin, additional, Laukkanen, Jari, additional, Lawless, Nathan, additional, Liu, Aoxing, additional, Longerich, Simonne, additional, Mägi, Reedik, additional, Mäkelä, Johanna, additional, Mäkitie, Antti, additional, Malarstig, Anders, additional, Mannermaa, Arto, additional, Maranville, Joseph, additional, Matakidou, Athena, additional, Meretoja, Tuomo, additional, Mozaffari, Sahar V., additional, Niemi, Mari EK., additional, Niemi, Marianna, additional, Niiranen, Teemu, additional, O’Donnell, Christopher J., additional, Obeidat, Ma’en, additional, Okafo, George, additional, Ollila, Hanna M., additional, Palomäki, Antti, additional, Palotie, Tuula, additional, Partanen, Jukka, additional, Paul, Dirk S., additional, Pelkonen, Margit, additional, Pendergrass, Rion K., additional, Petrovski, Slavé, additional, Pitkäranta, Anne, additional, Platt, Adam, additional, Pulford, David, additional, Punkka, Eero, additional, Pussinen, Pirkko, additional, Raghavan, Neha, additional, Rahimov, Fedik, additional, Rajpal, Deepak, additional, Renaud, Nicole A., additional, Riley-Gillis, Bridget, additional, Rodosthenous, Rodosthenis, additional, Saarentaus, Elmo, additional, Salminen, Aino, additional, Salminen, Eveliina, additional, Salomaa, Veikko, additional, Schleutker, Johanna, additional, Serpi, Raisa, additional, Shen, Huei-yi, additional, Siegel, Richard, additional, Silander, Kaisa, additional, Siltanen, Sanna, additional, Soini, Sirpa, additional, Soininen, Hilkka, additional, Sul, Jae H., additional, Tachmazidou, Ioanna, additional, Tasanen, Kaisa, additional, Tienari, Pentti, additional, Toppila-Salmi, Sanna, additional, Tukiainen, Taru, additional, Tuomi, Tiinamaija, additional, Turunen, Joni A., additional, Ulirsch, Jacob C., additional, Vaura, Felix, additional, Virolainen, Petri, additional, Waring, Jeffrey, additional, Waterworth, Dawn, additional, Yang, Robert, additional, Nelis, Mari, additional, Reigo, Anu, additional, Metspalu, Andres, additional, Milani, Lili, additional, Esko, Tõnu, additional, Fox, Caroline, additional, Havulinna, Aki S., additional, Perola, Markus, additional, Ripatti, Samuli, additional, Jalanko, Anu, additional, Laitinen, Tarja, additional, Mäkelä, Tomi, additional, Plenge, Robert, additional, McCarthy, Mark, additional, Runz, Heiko, additional, Daly, Mark J., additional, and Palotie, Aarno, additional

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results