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1. A genome-wide association study provides insights into the genetic etiology of 57 essential and non-essential trace elements in humans

Author: Marta R. Moksnes, Ailin F. Hansen, Brooke N. Wolford, Laurent F. Thomas, Humaira Rasheed, Anica Simić, Laxmi Bhatta, Anne Lise Brantsæter, Ida Surakka, Wei Zhou, Per Magnus, Pål R. Njølstad, Ole A. Andreassen, Tore Syversen, Jie Zheng, Lars G. Fritsche, David M. Evans, Nicole M. Warrington, Therese H. Nøst, Bjørn Olav Åsvold, Trond Peder Flaten, Cristen J. Willer, Kristian Hveem, and Ben M. Brumpton
Subjects: Biology (General), QH301-705.5
Abstract: Abstract Trace elements are important for human health but may exert toxic or adverse effects. Mechanisms of uptake, distribution, metabolism, and excretion are partly under genetic control but have not yet been extensively mapped. Here we report a comprehensive multi-element genome-wide association study of 57 essential and non-essential trace elements. We perform genome-wide association meta-analyses of 14 trace elements in up to 6564 Scandinavian whole blood samples, and genome-wide association studies of 43 trace elements in up to 2819 samples measured only in the Trøndelag Health Study (HUNT). We identify 11 novel genetic loci associated with blood concentrations of arsenic, cadmium, manganese, selenium, and zinc in genome-wide association meta-analyses. In HUNT, several genome-wide significant loci are also indicated for other trace elements. Using two-sample Mendelian randomization, we find several indications of weak to moderate effects on health outcomes, the most precise being a weak harmful effect of increased zinc on prostate cancer. However, independent validation is needed. Our current understanding of trace element-associated genetic variants may help establish consequences of trace elements on human health.
Published: 2024
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2. Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications

Author: Rosalie B. T. M. Sterenborg, Inga Steinbrenner, Yong Li, Melissa N. Bujnis, Tatsuhiko Naito, Eirini Marouli, Tessel E. Galesloot, Oladapo Babajide, Laura Andreasen, Arne Astrup, Bjørn Olav Åsvold, Stefania Bandinelli, Marian Beekman, John P. Beilby, Jette Bork-Jensen, Thibaud Boutin, Jennifer A. Brody, Suzanne J. Brown, Ben Brumpton, Purdey J. Campbell, Anne R. Cappola, Graziano Ceresini, Layal Chaker, Daniel I. Chasman, Maria Pina Concas, Rodrigo Coutinho de Almeida, Simone M. Cross, Francesco Cucca, Ian J. Deary, Alisa Devedzic Kjaergaard, Justin B. Echouffo Tcheugui, Christina Ellervik, Johan G. Eriksson, Luigi Ferrucci, Jan Freudenberg, GHS DiscovEHR, Regeneron Genetics Center, Christian Fuchsberger, Christian Gieger, Franco Giulianini, Martin Gögele, Sarah E. Graham, Niels Grarup, Ivana Gunjača, Torben Hansen, Barbara N. Harding, Sarah E. Harris, Stig Haunsø, Caroline Hayward, Jennie Hui, Till Ittermann, J. Wouter Jukema, Eero Kajantie, Jørgen K. Kanters, Line L. Kårhus, Lambertus A. L. M. Kiemeney, Margreet Kloppenburg, Brigitte Kühnel, Jari Lahti, Claudia Langenberg, Bruno Lapauw, Graham Leese, Shuo Li, David C. M. Liewald, Allan Linneberg, Jesus V. T. Lominchar, Jian’an Luan, Nicholas G. Martin, Antonela Matana, Marcel E. Meima, Thomas Meitinger, Ingrid Meulenbelt, Braxton D. Mitchell, Line T. Møllehave, Samia Mora, Silvia Naitza, Matthias Nauck, Romana T. Netea-Maier, Raymond Noordam, Casia Nursyifa, Yukinori Okada, Stefano Onano, Areti Papadopoulou, Colin N. A. Palmer, Cristian Pattaro, Oluf Pedersen, Annette Peters, Maik Pietzner, Ozren Polašek, Peter P. Pramstaller, Bruce M. Psaty, Ante Punda, Debashree Ray, Paul Redmond, J. Brent Richards, Paul M. Ridker, Tom C. Russ, Kathleen A. Ryan, Morten Salling Olesen, Ulla T. Schultheiss, Elizabeth Selvin, Moneeza K. Siddiqui, Carlo Sidore, P. Eline Slagboom, Thorkild I. A. Sørensen, Enrique Soto-Pedre, Tim D. Spector, Beatrice Spedicati, Sundararajan Srinivasan, John M. Starr, David J. Stott, Toshiko Tanaka, Vesela Torlak, Stella Trompet, Johanna Tuhkanen, André G. Uitterlinden, Erik B. van den Akker, Tibbert van den Eynde, Melanie M. van der Klauw, Diana van Heemst, Charlotte Verroken, W. Edward Visser, Dina Vojinovic, Henry Völzke, Melanie Waldenberger, John P. Walsh, Nicholas J. Wareham, Stefan Weiss, Cristen J. Willer, Scott G. Wilson, Bruce H. R. Wolffenbuttel, Hanneke J. C. M. Wouters, Margaret J. Wright, Qiong Yang, Tatijana Zemunik, Wei Zhou, Gu Zhu, Sebastian Zöllner, Johannes W. A. Smit, Robin P. Peeters, Anna Köttgen, Alexander Teumer, and Marco Medici
Subjects: Science
Abstract: Abstract To date only a fraction of the genetic footprint of thyroid function has been clarified. We report a genome-wide association study meta-analysis of thyroid function in up to 271,040 individuals of European ancestry, including reference range thyrotropin (TSH), free thyroxine (FT4), free and total triiodothyronine (T3), proxies for metabolism (T3/FT4 ratio) as well as dichotomized high and low TSH levels. We revealed 259 independent significant associations for TSH (61% novel), 85 for FT4 (67% novel), and 62 novel signals for the T3 related traits. The loci explained 14.1%, 6.0%, 9.5% and 1.1% of the total variation in TSH, FT4, total T3 and free T3 concentrations, respectively. Genetic correlations indicate that TSH associated loci reflect the thyroid function determined by free T3, whereas the FT4 associations represent the thyroid hormone metabolism. Polygenic risk score and Mendelian randomization analyses showed the effects of genetically determined variation in thyroid function on various clinical outcomes, including cardiovascular risk factors and diseases, autoimmune diseases, and cancer. In conclusion, our results improve the understanding of thyroid hormone physiology and highlight the pleiotropic effects of thyroid function on various diseases.
Published: 2024
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3. COL11A1 is associated with developmental dysplasia of the hip and secondary osteoarthritis in the HUNT study

Author: Kaya Kvarme Jacobsen, Sigrid Børte, Lene Bjerke Laborie, Hege Kristiansen, Annette Schäfer, Trude Gundersen, Tetyana Zayats, Bendik Kristoffer Slagsvold Winsvold, Karen Rosendahl, Amy E. Martinsen, Anne Heidi Skogholt, Ben M. Brumpton, Cristen J. Willer, Egil A. Fors, Espen S. Kristoffersen, Ingrid Heuch, Ingunn Mundal, John-Anker Zwart, Jonas B. Nielsen, Kjersti Storheim, Knut Hagen, Kristian Bernhard Nilsen, Kristian Hveem, Lars G. Fritsche, Laurent F. Thomas, Linda M. Pedersen, Maiken E. Gabrielsen, Marie U. Lie, Synne Ø. Stensland, and Wei Zhou
Subjects: Developmental dysplasia of the hip, Genetic, Hip dysplasia, COL11A1, HUNT, Diseases of the musculoskeletal system, RC925-935
Abstract: Objective: Developmental dysplasia of the hip (DDH) is a congenital condition affecting 2–3% of all infants. DDH increases the risk of osteoarthritis, is the cause of 30 % of all total hip arthroplasties (THAs) in adults
Published: 2024
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4. Unravelling the genetic architecture of human complex traits through whole genome sequencing

Author: Ozvan Bocher, Cristen J. Willer, and Eleftheria Zeggini
Subjects: Science
Abstract: Whole genome sequencing has enabled new insights into the genetic architecture of complex traits, especially through access to low-frequency and rare variation. This Comment highlights the key contributions from this technology and discusses considerations for its use and future perspectives.
Published: 2023
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5. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

Author: Stavroula Kanoni, Sarah E. Graham, Yuxuan Wang, Ida Surakka, Shweta Ramdas, Xiang Zhu, Shoa L. Clarke, Konain Fatima Bhatti, Sailaja Vedantam, Thomas W. Winkler, Adam E. Locke, Eirini Marouli, Greg J. M. Zajac, Kuan-Han H. Wu, Ioanna Ntalla, Qin Hui, Derek Klarin, Austin T. Hilliard, Zeyuan Wang, Chao Xue, Gudmar Thorleifsson, Anna Helgadottir, Daniel F. Gudbjartsson, Hilma Holm, Isleifur Olafsson, Mi Yeong Hwang, Sohee Han, Masato Akiyama, Saori Sakaue, Chikashi Terao, Masahiro Kanai, Wei Zhou, Ben M. Brumpton, Humaira Rasheed, Aki S. Havulinna, Yogasudha Veturi, Jennifer Allen Pacheco, Elisabeth A. Rosenthal, Todd Lingren, QiPing Feng, Iftikhar J. Kullo, Akira Narita, Jun Takayama, Hilary C. Martin, Karen A. Hunt, Bhavi Trivedi, Jeffrey Haessler, Franco Giulianini, Yuki Bradford, Jason E. Miller, Archie Campbell, Kuang Lin, Iona Y. Millwood, Asif Rasheed, George Hindy, Jessica D. Faul, Wei Zhao, David R. Weir, Constance Turman, Hongyan Huang, Mariaelisa Graff, Ananyo Choudhury, Dhriti Sengupta, Anubha Mahajan, Michael R. Brown, Weihua Zhang, Ketian Yu, Ellen M. Schmidt, Anita Pandit, Stefan Gustafsson, Xianyong Yin, Jian’an Luan, Jing-Hua Zhao, Fumihiko Matsuda, Hye-Mi Jang, Kyungheon Yoon, Carolina Medina-Gomez, Achilleas Pitsillides, Jouke Jan Hottenga, Andrew R. Wood, Yingji Ji, Zishan Gao, Simon Haworth, Noha A. Yousri, Ruth E. Mitchell, Jin Fang Chai, Mette Aadahl, Anne A. Bjerregaard, Jie Yao, Ani Manichaikul, Chii-Min Hwu, Yi-Jen Hung, Helen R. Warren, Julia Ramirez, Jette Bork-Jensen, Line L. Kårhus, Anuj Goel, Maria Sabater-Lleal, Raymond Noordam, Pala Mauro, Floris Matteo, Aaron F. McDaid, Pedro Marques-Vidal, Matthias Wielscher, Stella Trompet, Naveed Sattar, Line T. Møllehave, Matthias Munz, Lingyao Zeng, Jianfeng Huang, Bin Yang, Alaitz Poveda, Azra Kurbasic, Claudia Lamina, Lukas Forer, Markus Scholz, Tessel E. Galesloot, Jonathan P. Bradfield, Sanni E. Ruotsalainen, EWarwick Daw, Joseph M. Zmuda, Jonathan S. Mitchell, Christian Fuchsberger, Henry Christensen, Jennifer A. Brody, Miguel Vazquez-Moreno, Mary F. Feitosa, Mary K. Wojczynski, Zhe Wang, Michael H. Preuss, Massimo Mangino, Paraskevi Christofidou, Niek Verweij, Jan W. Benjamins, Jorgen Engmann, Noah L. Tsao, Anurag Verma, Roderick C. Slieker, Ken Sin Lo, Nuno R. Zilhao, Phuong Le, Marcus E. Kleber, Graciela E. Delgado, Shaofeng Huo, Daisuke D. Ikeda, Hiroyuki Iha, Jian Yang, Jun Liu, Ayşe Demirkan, Hampton L. Leonard, Jonathan Marten, Mirjam Frank, Börge Schmidt, Laura J. Smyth, Marisa Cañadas-Garre, Chaolong Wang, Masahiro Nakatochi, Andrew Wong, Nina Hutri-Kähönen, Xueling Sim, Rui Xia, Alicia Huerta-Chagoya, Juan Carlos Fernandez-Lopez, Valeriya Lyssenko, Suraj S. Nongmaithem, Swati Bayyana, Heather M. Stringham, Marguerite R. Irvin, Christopher Oldmeadow, Han-Na Kim, Seungho Ryu, Paul R. H. J. Timmers, Liubov Arbeeva, Rajkumar Dorajoo, Leslie A. Lange, Gauri Prasad, Laura Lorés-Motta, Marc Pauper, Jirong Long, Xiaohui Li, Elizabeth Theusch, Fumihiko Takeuchi, Cassandra N. Spracklen, Anu Loukola, Sailalitha Bollepalli, Sophie C. Warner, Ya Xing Wang, Wen B. Wei, Teresa Nutile, Daniela Ruggiero, Yun Ju Sung, Shufeng Chen, Fangchao Liu, Jingyun Yang, Katherine A. Kentistou, Bernhard Banas, Giuseppe Giovanni Nardone, Karina Meidtner, Lawrence F. Bielak, Jennifer A. Smith, Prashantha Hebbar, Aliki-Eleni Farmaki, Edith Hofer, Maoxuan Lin, Maria Pina Concas, Simona Vaccargiu, Peter J. van der Most, Niina Pitkänen, Brian E. Cade, Sander W. van der Laan, Kumaraswamy Naidu Chitrala, Stefan Weiss, Amy R. Bentley, Ayo P. Doumatey, Adebowale A. Adeyemo, Jong Young Lee, Eva R. B. Petersen, Aneta A. Nielsen, Hyeok Sun Choi, Maria Nethander, Sandra Freitag-Wolf, Lorraine Southam, Nigel W. Rayner, Carol A. Wang, Shih-Yi Lin, Jun-Sing Wang, Christian Couture, Leo-Pekka Lyytikäinen, Kjell Nikus, Gabriel Cuellar-Partida, Henrik Vestergaard, Bertha Hidalgo, Olga Giannakopoulou, Qiuyin Cai, Morgan O. Obura, Jessica van Setten, Xiaoyin Li, Jingjing Liang, Hua Tang, Natalie Terzikhan, Jae Hun Shin, Rebecca D. Jackson, Alexander P. Reiner, Lisa Warsinger Martin, Zhengming Chen, Liming Li, Takahisa Kawaguchi, Joachim Thiery, Joshua C. Bis, Lenore J. Launer, Huaixing Li, Mike A. Nalls, Olli T. Raitakari, Sahoko Ichihara, Sarah H. Wild, Christopher P. Nelson, Harry Campbell, Susanne Jäger, Toru Nabika, Fahd Al-Mulla, Harri Niinikoski, Peter S. Braund, Ivana Kolcic, Peter Kovacs, Tota Giardoglou, Tomohiro Katsuya, Dominique de Kleijn, Gert J. de Borst, Eung Kweon Kim, Hieab H. H. Adams, M. Arfan Ikram, Xiaofeng Zhu, Folkert W. Asselbergs, Adriaan O. Kraaijeveld, Joline W. J. Beulens, Xiao-Ou Shu, Loukianos S. Rallidis, Oluf Pedersen, Torben Hansen, Paul Mitchell, Alex W. Hewitt, Mika Kähönen, Louis Pérusse, Claude Bouchard, Anke Tönjes, Yii-Der Ida Chen, Craig E. Pennell, Trevor A. Mori, Wolfgang Lieb, Andre Franke, Claes Ohlsson, Dan Mellström, Yoon Shin Cho, Hyejin Lee, Jian-Min Yuan, Woon-Puay Koh, Sang Youl Rhee, Jeong-Taek Woo, Iris M. Heid, Klaus J. Stark, Martina E. Zimmermann, Henry Völzke, Georg Homuth, Michele K. Evans, Alan B. Zonderman, Ozren Polasek, Gerard Pasterkamp, Imo E. Hoefer, Susan Redline, Katja Pahkala, Albertine J. Oldehinkel, Harold Snieder, Ginevra Biino, Reinhold Schmidt, Helena Schmidt, Stefania Bandinelli, George Dedoussis, Thangavel Alphonse Thanaraj, Sharon L. R. Kardia, Patricia A. Peyser, Norihiro Kato, Matthias B. Schulze, Giorgia Girotto, Carsten A. Böger, Bettina Jung, Peter K. Joshi, David A. Bennett, Philip L. De Jager, Xiangfeng Lu, Vasiliki Mamakou, Morris Brown, Mark J. Caulfield, Patricia B. Munroe, Xiuqing Guo, Marina Ciullo, Jost B. Jonas, Nilesh J. Samani, Jaakko Kaprio, Päivi Pajukanta, Teresa Tusié-Luna, Carlos A. Aguilar-Salinas, Linda S. Adair, Sonny Augustin Bechayda, H. Janaka de Silva, Ananda R. Wickremasinghe, Ronald M. Krauss, Jer-Yuarn Wu, Wei Zheng, Anneke Iden Hollander, Dwaipayan Bharadwaj, Adolfo Correa, James G. Wilson, Lars Lind, Chew-Kiat Heng, Amanda E. Nelson, Yvonne M. Golightly, James F. Wilson, Brenda Penninx, Hyung-Lae Kim, John Attia, Rodney J. Scott, D. C. Rao, Donna K. Arnett, Steven C. Hunt, Mark Walker, Heikki A. Koistinen, Giriraj R. Chandak, Josep M. Mercader, Maria C. Costanzo, Dongkeun Jang, Noël P. Burtt, Clicerio Gonzalez Villalpando, Lorena Orozco, Myriam Fornage, EShyong Tai, Rob M. van Dam, Terho Lehtimäki, Nish Chaturvedi, Mitsuhiro Yokota, Jianjun Liu, Dermot F. Reilly, Amy Jayne McKnight, Frank Kee, Karl-Heinz Jöckel, Mark I. McCarthy, Colin N. A. Palmer, Veronique Vitart, Caroline Hayward, Eleanor Simonsick, Cornelia M. van Duijn, Zi-Bing Jin, Jia Qu, Haretsugu Hishigaki, Xu Lin, Winfried März, Vilmundur Gudnason, Jean-Claude Tardif, Guillaume Lettre, Leen M.‘t Hart, Petra J. M. Elders, Scott M. Damrauer, Meena Kumari, Mika Kivimaki, Pim van der Harst, Tim D. Spector, Ruth J. F. Loos, Michael A. Province, Esteban J. Parra, Miguel Cruz, Bruce M. Psaty, Ivan Brandslund, Peter P. Pramstaller, Charles N. Rotimi, Kaare Christensen, Samuli Ripatti, Elisabeth Widén, Hakon Hakonarson, Struan F. A. Grant, Lambertus A. L. M. Kiemeney, Jacqueline de Graaf, Markus Loeffler, Florian Kronenberg, Dongfeng Gu, Jeanette Erdmann, Heribert Schunkert, Paul W. Franks, Allan Linneberg, J. Wouter Jukema, Amit V. Khera, Minna Männikkö, Marjo-Riitta Jarvelin, Zoltan Kutalik, Cucca Francesco, Dennis O. Mook-Kanamori, Ko Willems van Dijk, Hugh Watkins, David P. Strachan, Niels Grarup, Peter Sever, Neil Poulter, Lee-Ming Chuang, Jerome I. Rotter, Thomas M. Dantoft, Fredrik Karpe, Matt J. Neville, Nicholas J. Timpson, Ching-Yu Cheng, Tien-Yin Wong, Chiea Chuen Khor, Hengtong Li, Charumathi Sabanayagam, Annette Peters, Christian Gieger, Andrew T. Hattersley, Nancy L. Pedersen, Patrik K. E. Magnusson, Dorret I. Boomsma, Allegonda H. M. Willemsen, LAdrienne Cupples, Joyce B. J. van Meurs, Mohsen Ghanbari, Penny Gordon-Larsen, Wei Huang, Young Jin Kim, Yasuharu Tabara, Nicholas J. Wareham, Claudia Langenberg, Eleftheria Zeggini, Johanna Kuusisto, Markku Laakso, Erik Ingelsson, Goncalo Abecasis, John C. Chambers, Jaspal S. Kooner, Paul S. de Vries, Alanna C. Morrison, Scott Hazelhurst, Michèle Ramsay, Kari E. North, Martha Daviglus, Peter Kraft, Nicholas G. Martin, John B. Whitfield, Shahid Abbas, Danish Saleheen, Robin G. Walters, Michael V. Holmes, Corri Black, Blair H. Smith, Aris Baras, Anne E. Justice, Julie E. Buring, Paul M. Ridker, Daniel I. Chasman, Charles Kooperberg, Gen Tamiya, Masayuki Yamamoto, David A. van Heel, Richard C. Trembath, Wei-Qi Wei, Gail P. Jarvik, Bahram Namjou, M. Geoffrey Hayes, Marylyn D. Ritchie, Pekka Jousilahti, Veikko Salomaa, Kristian Hveem, Bjørn Olav Åsvold, Michiaki Kubo, Yoichiro Kamatani, Yukinori Okada, Yoshinori Murakami, Bong-Jo Kim, Unnur Thorsteinsdottir, Kari Stefansson, Jifeng Zhang, YEugene Chen, Yuk-Lam Ho, Julie A. Lynch, Daniel J. Rader, Philip S. Tsao, Kyong-Mi Chang, Kelly Cho, Christopher J. O’Donnell, John M. Gaziano, Peter W. F. Wilson, Timothy M. Frayling, Joel N. Hirschhorn, Sekar Kathiresan, Karen L. Mohlke, Yan V. Sun, Andrew P. Morris, Michael Boehnke, Christopher D. Brown, Pradeep Natarajan, Panos Deloukas, Cristen J. Willer, Themistocles L. Assimes, and Gina M. Peloso
Subjects: Cholesterol, Lipids, Genetics, Genome-wide association study, GWAS, Biology (General), QH301-705.5, QH426-470
Abstract: Abstract Background Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery. Results To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches. Using phenome-wide association (PheWAS) scans, we identify relationships of genetically predicted lipid levels to other diseases and conditions. We confirm known pleiotropic associations with cardiovascular phenotypes and determine novel associations, notably with cholelithiasis risk. We perform sex-stratified GWAS meta-analysis of lipid levels and show that 3–5% of autosomal lipid-associated loci demonstrate sex-biased effects. Finally, we report 21 novel lipid loci identified on the X chromosome. Many of the sex-biased autosomal and X chromosome lipid loci show pleiotropic associations with sex hormones, emphasizing the role of hormone regulation in lipid metabolism. Conclusions Taken together, our findings provide insights into the biological mechanisms through which associated variants lead to altered lipid levels and potentially cardiovascular disease risk.
Published: 2022
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6. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals

Author: Thomas W. Winkler, Humaira Rasheed, Alexander Teumer, Mathias Gorski, Bryce X. Rowan, Kira J. Stanzick, Laurent F. Thomas, Adrienne Tin, Anselm Hoppmann, Audrey Y. Chu, Bamidele Tayo, Chris H. L. Thio, Daniele Cusi, Jin-Fang Chai, Karsten B. Sieber, Katrin Horn, Man Li, Markus Scholz, Massimiliano Cocca, Matthias Wuttke, Peter J. van der Most, Qiong Yang, Sahar Ghasemi, Teresa Nutile, Yong Li, Giulia Pontali, Felix Günther, Abbas Dehghan, Adolfo Correa, Afshin Parsa, Agnese Feresin, Aiko P. J. de Vries, Alan B. Zonderman, Albert V. Smith, Albertine J. Oldehinkel, Alessandro De Grandi, Alexander R. Rosenkranz, Andre Franke, Andrej Teren, Andres Metspalu, Andrew A. Hicks, Andrew P. Morris, Anke Tönjes, Anna Morgan, Anna I. Podgornaia, Annette Peters, Antje Körner, Anubha Mahajan, Archie Campbell, Barry I. Freedman, Beatrice Spedicati, Belen Ponte, Ben Schöttker, Ben Brumpton, Bernhard Banas, Bernhard K. Krämer, Bettina Jung, Bjørn Olav Åsvold, Blair H. Smith, Boting Ning, Brenda W. J. H. Penninx, Brett R. Vanderwerff, Bruce M. Psaty, Candace M. Kammerer, Carl D. Langefeld, Caroline Hayward, Cassandra N. Spracklen, Cassianne Robinson-Cohen, Catharina A. Hartman, Cecilia M. Lindgren, Chaolong Wang, Charumathi Sabanayagam, Chew-Kiat Heng, Chiara Lanzani, Chiea-Chuen Khor, Ching-Yu Cheng, Christian Fuchsberger, Christian Gieger, Christian M. Shaffer, Christina-Alexandra Schulz, Cristen J. Willer, Daniel I. Chasman, Daniel F. Gudbjartsson, Daniela Ruggiero, Daniela Toniolo, Darina Czamara, David J. Porteous, Dawn M. Waterworth, Deborah Mascalzoni, Dennis O. Mook-Kanamori, Dermot F. Reilly, E. Warwick Daw, Edith Hofer, Eric Boerwinkle, Erika Salvi, Erwin P. Bottinger, E-Shyong Tai, Eulalia Catamo, Federica Rizzi, Feng Guo, Fernando Rivadeneira, Franco Guilianini, Gardar Sveinbjornsson, Georg Ehret, Gerard Waeber, Ginevra Biino, Giorgia Girotto, Giorgio Pistis, Girish N. Nadkarni, Graciela E. Delgado, Grant W. Montgomery, Harold Snieder, Harry Campbell, Harvey D. White, He Gao, Heather M. Stringham, Helena Schmidt, Hengtong Li, Hermann Brenner, Hilma Holm, Holgen Kirsten, Holly Kramer, Igor Rudan, Ilja M. Nolte, Ioanna Tzoulaki, Isleifur Olafsson, Jade Martins, James P. Cook, James F. Wilson, Jan Halbritter, Janine F. Felix, Jasmin Divers, Jaspal S. Kooner, Jeannette Jen-Mai Lee, Jeffrey O’Connell, Jerome I. Rotter, Jianjun Liu, Jie Xu, Joachim Thiery, Johan Ärnlöv, Johanna Kuusisto, Johanna Jakobsdottir, Johanne Tremblay, John C. Chambers, John B. Whitfield, John M. Gaziano, Jonathan Marten, Josef Coresh, Jost B. Jonas, Josyf C. Mychaleckyj, Kaare Christensen, Kai-Uwe Eckardt, Karen L. Mohlke, Karlhans Endlich, Katalin Dittrich, Kathleen A. Ryan, Kenneth M. Rice, Kent D. Taylor, Kevin Ho, Kjell Nikus, Koichi Matsuda, Konstantin Strauch, Kozeta Miliku, Kristian Hveem, Lars Lind, Lars Wallentin, Laura M. Yerges-Armstrong, Laura M. Raffield, Lawrence S. Phillips, Lenore J. Launer, Leo-Pekka Lyytikäinen, Leslie A. Lange, Lorena Citterio, Lucija Klaric, M. Arfan Ikram, Marcus Ising, Marcus E. Kleber, Margherita Francescatto, Maria Pina Concas, Marina Ciullo, Mario Piratsu, Marju Orho-Melander, Markku Laakso, Markus Loeffler, Markus Perola, Martin H. de Borst, Martin Gögele, Martina La Bianca, Mary Ann Lukas, Mary F. Feitosa, Mary L. Biggs, Mary K. Wojczynski, Maryam Kavousi, Masahiro Kanai, Masato Akiyama, Masayuki Yasuda, Matthias Nauck, Melanie Waldenberger, Miao-Li Chee, Miao-Ling Chee, Michael Boehnke, Michael H. Preuss, Michael Stumvoll, Michael A. Province, Michele K. Evans, Michelle L. O’Donoghue, Michiaki Kubo, Mika Kähönen, Mika Kastarinen, Mike A. Nalls, Mikko Kuokkanen, Mohsen Ghanbari, Murielle Bochud, Navya Shilpa Josyula, Nicholas G. Martin, Nicholas Y. Q. Tan, Nicholette D. Palmer, Nicola Pirastu, Nicole Schupf, Niek Verweij, Nina Hutri-Kähönen, Nina Mononen, Nisha Bansal, Olivier Devuyst, Olle Melander, Olli T. Raitakari, Ozren Polasek, Paolo Manunta, Paolo Gasparini, Pashupati P. Mishra, Patrick Sulem, Patrik K. E. Magnusson, Paul Elliott, Paul M. Ridker, Pavel Hamet, Per O. Svensson, Peter K. Joshi, Peter Kovacs, Peter P. Pramstaller, Peter Rossing, Peter Vollenweider, Pim van der Harst, Rajkumar Dorajoo, Ralene Z. H. Sim, Ralph Burkhardt, Ran Tao, Raymond Noordam, Reedik Mägi, Reinhold Schmidt, Renée de Mutsert, Rico Rueedi, Rob M. van Dam, Robert J. Carroll, Ron T. Gansevoort, Ruth J. F. Loos, Sala Cinzia Felicita, Sanaz Sedaghat, Sandosh Padmanabhan, Sandra Freitag-Wolf, Sarah A. Pendergrass, Sarah E. Graham, Scott D. Gordon, Shih-Jen Hwang, Shona M. Kerr, Simona Vaccargiu, Snehal B. Patil, Stein Hallan, Stephan J. L. Bakker, Su-Chi Lim, Susanne Lucae, Suzanne Vogelezang, Sven Bergmann, Tanguy Corre, Tarunveer S. Ahluwalia, Terho Lehtimäki, Thibaud S. Boutin, Thomas Meitinger, Tien-Yin Wong, Tobias Bergler, Ton J. Rabelink, Tõnu Esko, Toomas Haller, Unnur Thorsteinsdottir, Uwe Völker, Valencia Hui Xian Foo, Veikko Salomaa, Veronique Vitart, Vilmantas Giedraitis, Vilmundur Gudnason, Vincent W. V. Jaddoe, Wei Huang, Weihua Zhang, Wen Bin Wei, Wieland Kiess, Winfried März, Wolfgang Koenig, Wolfgang Lieb, Xin Gao, Xueling Sim, Ya Xing Wang, Yechiel Friedlander, Yih-Chung Tham, Yoichiro Kamatani, Yukinori Okada, Yuri Milaneschi, Zhi Yu, Lifelines cohort study, DiscovEHR/MyCode study, VA Million Veteran Program, Klaus J. Stark, Kari Stefansson, Carsten A. Böger, Adriana M. Hung, Florian Kronenberg, Anna Köttgen, Cristian Pattaro, and Iris M. Heid
Subjects: Biology (General), QH301-705.5
Abstract: A large-scale GWAS provides insight on diabetes-dependent genetic effects on the glomerular filtration rate, a common metric to monitor kidney health in disease.
Published: 2022
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7. Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT

Author: Marta R. Moksnes, Sarah E. Graham, Kuan-Han Wu, Ailin Falkmo Hansen, Sarah A. Gagliano Taliun, Wei Zhou, Ketil Thorstensen, Lars G. Fritsche, Dipender Gill, Amy Mason, Francesco Cucca, David Schlessinger, Gonçalo R. Abecasis, Stephen Burgess, Bjørn Olav Åsvold, Jonas B. Nielsen, Kristian Hveem, Cristen J. Willer, and Ben M. Brumpton
Subjects: Biology (General), QH301-705.5
Abstract: A GWAS on the four major iron-related biomarkers is conducted using data from the Trøndelag Health Study (HUNT), Michigan Genomics Initiative (MGI), and SardiNIA study, to identify 123 loci associated with iron homeostasis and effect on all-cause mortality.
Published: 2022
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8. Meta-analysis of sub-Saharan African studies provides insights into genetic architecture of lipid traits

Author: Ananyo Choudhury, Jean-Tristan Brandenburg, Tinashe Chikowore, Dhriti Sengupta, Palwende Romuald Boua, Nigel J. Crowther, Godfred Agongo, Gershim Asiki, F. Xavier Gómez-Olivé, Isaac Kisiangani, Eric Maimela, Matshane Masemola-Maphutha, Lisa K. Micklesfield, Engelbert A. Nonterah, Shane A. Norris, Hermann Sorgho, Halidou Tinto, Stephen Tollman, Sarah E. Graham, Cristen J. Willer, AWI-Gen study, H3Africa Consortium, Scott Hazelhurst, and Michèle Ramsay
Subjects: Science
Abstract: Genetic associations and polygenic scores for lipid traits have low transferability to African individuals. Here, the authors perform a large sub-Sarahan African lipid GWAS and find that larger datasets and better global representation in discovery GWAS help to bridge this gap.
Published: 2022
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9. The Michigan Genomics Initiative: A biobank linking genotypes and electronic clinical records in Michigan Medicine patients

Author: Matthew Zawistowski, Lars G. Fritsche, Anita Pandit, Brett Vanderwerff, Snehal Patil, Ellen M. Schmidt, Peter VandeHaar, Cristen J. Willer, Chad M. Brummett, Sachin Kheterpal, Xiang Zhou, Michael Boehnke, Gonçalo R. Abecasis, and Sebastian Zöllner
Subjects: Genetics, QH426-470, Internal medicine, RC31-1245
Abstract: Summary: Biobanks of linked clinical patient histories and biological samples are an efficient strategy to generate large cohorts for modern genetics research. Biobank recruitment varies by factors such as geographic catchment and sampling strategy, which affect biobank demographics and research utility. Here, we describe the Michigan Genomics Initiative (MGI), a single-health-system biobank currently consisting of >91,000 participants recruited primarily during surgical encounters at Michigan Medicine. The surgical enrollment results in a biobank enriched for many diseases and ideally suited for a disease genetics cohort. Compared with the much larger population-based UK Biobank, MGI has higher prevalence for nearly all diagnosis-code-based phenotypes and larger absolute case counts for many phenotypes. Genome-wide association study (GWAS) results replicate known findings, thereby validating the genetic and clinical data. Our results illustrate that opportunistic biobank sampling within single health systems provides a unique and complementary resource for exploring the genetics of complex diseases.
Published: 2023
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10. Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts

Author: Ying Wang, Shinichi Namba, Esteban Lopera, Sini Kerminen, Kristin Tsuo, Kristi Läll, Masahiro Kanai, Wei Zhou, Kuan-Han Wu, Marie-Julie Favé, Laxmi Bhatta, Philip Awadalla, Ben Brumpton, Patrick Deelen, Kristian Hveem, Valeria Lo Faro, Reedik Mägi, Yoshinori Murakami, Serena Sanna, Jordan W. Smoller, Jasmina Uzunovic, Brooke N. Wolford, Cristen Willer, Eric R. Gamazon, Nancy J. Cox, Ida Surakka, Yukinori Okada, Alicia R. Martin, Jibril Hirbo, Kuan-Han H. Wu, Humaira Rasheed, Jibril B. Hirbo, Arjun Bhattacharya, Huiling Zhao, Esteban A. Lopera-Maya, Sinéad B. Chapman, Juha Karjalainen, Mitja Kurki, Maasha Mutaamba, Juulia J. Partanen, Ben M. Brumpton, Sameer Chavan, Tzu-Ting Chen, Michelle Daya, Yi Ding, Yen-Chen A. Feng, Christopher R. Gignoux, Sarah E. Graham, Whitney E. Hornsby, Nathan Ingold, Ruth Johnson, Triin Laisk, Kuang Lin, Jun Lv, Iona Y. Millwood, Priit Palta, Anita Pandit, Michael H. Preuss, Unnur Thorsteinsdottir, Matthew Zawistowski, Xue Zhong, Archie Campbell, Kristy Crooks, Geertruida H. de Bock, Nicholas J. Douville, Sarah Finer, Lars G. Fritsche, Christopher J. Griffiths, Yu Guo, Karen A. Hunt, Takahiro Konuma, Riccardo E. Marioni, Jansonius Nomdo, Snehal Patil, Nicholas Rafaels, Anne Richmond, Jonathan A. Shortt, Peter Straub, Ran Tao, Brett Vanderwerff, Kathleen C. Barnes, Marike Boezen, Zhengming Chen, Chia-Yen Chen, Judy Cho, George Davey Smith, Hilary K. Finucane, Lude Franke, Andrea Ganna, Tom R. Gaunt, Tian Ge, Hailiang Huang, Jennifer Huffman, Jukka T. Koskela, Clara Lajonchere, Matthew H. Law, Liming Li, Cecilia M. Lindgren, Ruth J.F. Loos, Stuart MacGregor, Koichi Matsuda, Catherine M. Olsen, David J. Porteous, Jordan A. Shavit, Harold Snieder, Richard C. Trembath, Judith M. Vonk, David Whiteman, Stephen J. Wicks, Cisca Wijmenga, John Wright, Jie Zheng, Xiang Zhou, Michael Boehnke, Daniel H. Geschwind, Caroline Hayward, Eimear E. Kenny, Yen-Feng Lin, Hilary C. Martin, Sarah E. Medland, Aarno V. Palotie, Bogdan Pasaniuc, Kari Stefansson, David A. van Heel, Robin G. Walters, Sebastian Zöllner, Cristen J. Willer, Mark J. Daly, and Benjamin M. Neale
Subjects: Global-Biobank Meta-analysis Initiative, polygenic risk scores, multi-ancestry genetic prediction, accuracy heterogeneity, Genetics, QH426-470, Internal medicine, RC31-1245
Abstract: Summary: 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
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11. Increased soluble urokinase plasminogen activator levels modulate monocyte function to promote atherosclerosis

Author: George Hindy, Daniel J. Tyrrell, Alexi Vasbinder, Changli Wei, Feriel Presswalla, Hui Wang, Pennelope Blakely, Ayse Bilge Ozel, Sarah Graham, Grace H. Holton, Joseph Dowsett, Akl C. Fahed, Kingsley-Michael Amadi, Grace K. Erne, Annika Tekmulla, Anis Ismail, Christopher Launius, Nona Sotoodehnia, James S. Pankow, Lise Wegner Thørner, Christian Erikstrup, Ole Birger Pedersen, Karina Banasik, Søren Brunak, Henrik Ullum, Jesper Eugen-Olsen, Sisse Rye Ostrowski, on behalf of the DBDS Consortium, Mary E. Haas, Jonas B. Nielsen, Luca A. Lotta, on behalf of the Regeneron Genetics Center, Gunnar Engström, Olle Melander, Marju Orho-Melander, Lili Zhao, Venkatesh L. Murthy, David J. Pinsky, Cristen J. Willer, Susan R. Heckbert, Jochen Reiser, Daniel R. Goldstein, Karl C. Desch, and Salim S. Hayek
Subjects: Cardiology, Medicine
Abstract: People with kidney disease are disproportionately affected by atherosclerosis for unclear reasons. Soluble urokinase plasminogen activator receptor (suPAR) is an immune-derived mediator of kidney disease, levels of which are strongly associated with cardiovascular outcomes. We assessed suPAR’s pathogenic involvement in atherosclerosis using epidemiologic, genetic, and experimental approaches. We found serum suPAR levels to be predictive of coronary artery calcification and cardiovascular events in 5,406 participants without known coronary disease. In a genome-wide association meta-analysis including over 25,000 individuals, we identified a missense variant in the plasminogen activator, urokinase receptor (PLAUR) gene (rs4760), confirmed experimentally to lead to higher suPAR levels. Mendelian randomization analysis in the UK Biobank using rs4760 indicated a causal association between genetically predicted suPAR levels and atherosclerotic phenotypes. In an experimental model of atherosclerosis, proprotein convertase subtilisin/kexin–9 (Pcsk9) transfection in mice overexpressing suPAR (suPARTg) led to substantially increased atherosclerotic plaques with necrotic cores and macrophage infiltration compared with those in WT mice, despite similar cholesterol levels. Prior to induction of atherosclerosis, aortas of suPARTg mice excreted higher levels of CCL2 and had higher monocyte counts compared with WT aortas. Aortic and circulating suPARTg monocytes exhibited a proinflammatory profile and enhanced chemotaxis. These findings characterize suPAR as a pathogenic factor for atherosclerosis acting at least partially through modulation of monocyte function.
Published: 2022
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12. Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals

Author: Kira J. Stanzick, Yong Li, Pascal Schlosser, Mathias Gorski, Matthias Wuttke, Laurent F. Thomas, Humaira Rasheed, Bryce X. Rowan, Sarah E. Graham, Brett R. Vanderweff, Snehal B. Patil, VA Million Veteran Program, Cassiane Robinson-Cohen, John M. Gaziano, Christopher J. O’Donnell, Cristen J. Willer, Stein Hallan, Bjørn Olav Åsvold, Andre Gessner, Adriana M. Hung, Cristian Pattaro, Anna Köttgen, Klaus J. Stark, Iris M. Heid, and Thomas W. Winkler
Subjects: Science
Abstract: Identifying causal variants and genes in genome-wide association studies remains a challenge, an issue that is ameliorated with larger sample sizes. Here the authors meta-analyze kidney function genome-wide association studies to identify new loci and fine-map loci to home in on variants and genes involved in kidney function.
Published: 2021
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13. Loss-of-function genomic variants highlight potential therapeutic targets for cardiovascular disease

Author: Jonas B. Nielsen, Oren Rom, Ida Surakka, Sarah E. Graham, Wei Zhou, Tanmoy Roychowdhury, Lars G. Fritsche, Sarah A. Gagliano Taliun, Carlo Sidore, Yuhao Liu, Maiken E. Gabrielsen, Anne Heidi Skogholt, Brooke Wolford, William Overton, Ying Zhao, Jin Chen, He Zhang, Whitney E. Hornsby, Akua Acheampong, Austen Grooms, Amanda Schaefer, Gregory J. M. Zajac, Luis Villacorta, Jifeng Zhang, Ben Brumpton, Mari Løset, Vivek Rai, Pia R. Lundegaard, Morten S. Olesen, Kent D. Taylor, Nicholette D. Palmer, Yii-Der Chen, Seung H. Choi, Steven A. Lubitz, Patrick T. Ellinor, Kathleen C. Barnes, Michelle Daya, Nicholas Rafaels, Scott T. Weiss, Jessica Lasky-Su, Russell P. Tracy, Ramachandran S. Vasan, L. Adrienne Cupples, Rasika A. Mathias, Lisa R. Yanek, Lewis C. Becker, Patricia A. Peyser, Lawrence F. Bielak, Jennifer A. Smith, Stella Aslibekyan, Bertha A. Hidalgo, Donna K. Arnett, Marguerite R. Irvin, James G. Wilson, Solomon K. Musani, Adolfo Correa, Stephen S. Rich, Xiuqing Guo, Jerome I. Rotter, Barbara A. Konkle, Jill M. Johnsen, Allison E. Ashley-Koch, Marilyn J. Telen, Vivien A. Sheehan, John Blangero, Joanne E. Curran, Juan M. Peralta, Courtney Montgomery, Wayne H-H Sheu, Ren-Hua Chung, Karen Schwander, Seyed M. Nouraie, Victor R. Gordeuk, Yingze Zhang, Charles Kooperberg, Alexander P. Reiner, Rebecca D. Jackson, Eugene R. Bleecker, Deborah A. Meyers, Xingnan Li, Sayantan Das, Ketian Yu, Jonathon LeFaive, Albert Smith, Tom Blackwell, Daniel Taliun, Sebastian Zollner, Lukas Forer, Sebastian Schoenherr, Christian Fuchsberger, Anita Pandit, Matthew Zawistowski, Sachin Kheterpal, Chad M. Brummett, Pradeep Natarajan, David Schlessinger, Seunggeun Lee, Hyun Min Kang, Francesco Cucca, Oddgeir L. Holmen, Bjørn O. Åsvold, Michael Boehnke, Sekar Kathiresan, Goncalo R. Abecasis, Y. Eugene Chen, Cristen J. Willer, and Kristian Hveem
Subjects: Science
Abstract: Drugs targeting cardiovascular disease (CVD) can have negative consequences for liver function. Here, the authors combine genome wide analyses on 69,479 individuals to identify loss-of-function variants with beneficial effects on CVD-related traits without negative impacts on liver function.
Published: 2020
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14. Identification of cell type specific ACE2 modifiers by CRISPR screening.

Author: Emily J Sherman, Carmen Mirabelli, Vi T Tang, Taslima G Khan, Kyle Leix, Andrew A Kennedy, Sarah E Graham, Cristen J Willer, Andrew W Tai, Jonathan Z Sexton, Christiane E Wobus, and Brian T Emmer
Subjects: Immunologic diseases. Allergy, RC581-607, Biology (General), QH301-705.5
Abstract: SARS-CoV-2 infection is initiated by binding of the viral spike protein to its receptor, ACE2, on the surface of host cells. ACE2 expression is heterogeneous both in vivo and in immortalized cell lines, but the molecular pathways that govern ACE2 expression remain unclear. We now report high-throughput CRISPR screens for functional modifiers of ACE2 surface abundance. In liver-derived HuH7 cells, we identified 35 genes whose disruption was associated with a change in the surface abundance of ACE2. Enriched among these ACE2 regulators were established transcription factors, epigenetic regulators, and functional networks. We further characterized individual HuH7 cell lines with disruption of SMAD4, EP300, PIAS1, or BAMBI and found these genes to regulate ACE2 at the mRNA level and to influence cellular susceptibility to SARS-CoV-2 infection. Orthogonal screening of lung-derived Calu-3 cells revealed a distinct set of ACE2 modifiers comprised of ACE2, KDM6A, MOGS, GPAA1, and UGP2. Collectively, our findings clarify the host factors involved in SARS-CoV-2 entry, highlight the cell type specificity of ACE2 regulatory networks, and suggest potential targets for therapeutic development.
Published: 2022
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15. MEPE loss-of-function variant associates with decreased bone mineral density and increased fracture risk

Author: Ida Surakka, Lars G. Fritsche, Wei Zhou, Joshua Backman, Jack A. Kosmicki, Haocheng Lu, Ben Brumpton, Jonas B. Nielsen, Maiken E. Gabrielsen, Anne Heidi Skogholt, Brooke Wolford, Sarah E. Graham, Y. Eugene Chen, Seunggeun Lee, Hyun Min Kang, Arnulf Langhammer, Siri Forsmo, Bjørn O. Åsvold, Unnur Styrkarsdottir, Hilma Holm, Daniel Gudbjartsson, Kari Stefansson, Aris Baras, Regeneron Genetics Center, Goncalo R. Abecasis, Kristian Hveem, and Cristen J. Willer
Subjects: Science
Abstract: Bone mineral density (BMD) is associated with fracture risk and many genetic loci with small effect sizes have been discovered by genome-wide association studies (GWAS). Here, the authors discover a large-effect rare loss-of-function genetic variant for BMD in the MEPE gene in the Norwegian HUNT study which replicates in the UK Biobank.
Published: 2020
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16. GWAS of thyroid stimulating hormone highlights pleiotropic effects and inverse association with thyroid cancer

Author: Wei Zhou, Ben Brumpton, Omer Kabil, Julius Gudmundsson, Gudmar Thorleifsson, Josh Weinstock, Matthew Zawistowski, Jonas B. Nielsen, Layal Chaker, Marco Medici, Alexander Teumer, Silvia Naitza, Serena Sanna, Ulla T. Schultheiss, Anne Cappola, Juha Karjalainen, Mitja Kurki, Morgan Oneka, Peter Taylor, Lars G. Fritsche, Sarah E. Graham, Brooke N. Wolford, William Overton, Humaira Rasheed, Eirin B. Haug, Maiken E. Gabrielsen, Anne Heidi Skogholt, Ida Surakka, George Davey Smith, Anita Pandit, Tanmoy Roychowdhury, Whitney E. Hornsby, Jon G. Jonasson, Leigha Senter, Sandya Liyanarachchi, Matthew D. Ringel, Li Xu, Lambertus A. Kiemeney, Huiling He, Romana T. Netea-Maier, Jose I. Mayordomo, Theo S. Plantinga, Jon Hrafnkelsson, Hannes Hjartarson, Erich M. Sturgis, Aarno Palotie, Mark Daly, Cintia E. Citterio, Peter Arvan, Chad M. Brummett, Michael Boehnke, Albert de la Chapelle, Kari Stefansson, Kristian Hveem, Cristen J. Willer, and Bjørn Olav Åsvold
Subjects: Science
Abstract: Thyroid stimulating hormone (TSH) is critical for normal development and metabolism. Here, the authors conduct a GWAS and suggest protective effect of higher TSH on risk of thyroid cancer and goitre.
Published: 2020
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17. A Novel Variant in APOB Gene Causes Extremely Low LDL-C Without Known Adverse Effects

Author: Ida Surakka, PhD, Whitney E. Hornsby, PhD, Linda Farhat, MS, Melvyn Rubenfire, MD, Lars G. Fritsche, PhD, Kristian Hveem, MD, PhD, Y. Eugene Chen, MD, PhD, Robert D. Brook, MD, Cristen J. Willer, PhD, and Richard L. Weinberg, MD, PhD
Subjects: apolipoprotein B loss-of-function, hypobetalipoproteinemia, low-density lipoprotein cholesterol, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: A novel frameshift variant was identified in APOB that segregates in a dominant manner with low levels of low-density lipoprotein cholesterol. Affected family members show no apparent clinical complications. There is no consensus regarding clinical management, and the long-term consequences of low levels of low-density lipoprotein cholesterol remain unknown. (Level of Difficulty: Advanced.)
Published: 2020
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18. Author Correction: Meta-analysis of sub-Saharan African studies provides insights into genetic architecture of lipid traits

Author: Ananyo Choudhury, Jean-Tristan Brandenburg, Tinashe Chikowore, Dhriti Sengupta, Palwende Romuald Boua, Nigel J. Crowther, Godfred Agongo, Gershim Asiki, F. Xavier Gómez-Olivé, Isaac Kisiangani, Eric Maimela, Matshane Masemola-Maphutha, Lisa K. Micklesfield, Engelbert A. Nonterah, Shane A. Norris, Hermann Sorgho, Halidou Tinto, Stephen Tollman, Sarah E. Graham, Cristen J. Willer, AWI-Gen study, H3Africa Consortium, Scott Hazelhurst, and Michèle Ramsay
Subjects: Science
Published: 2022
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19. Type 2 diabetes sex-specific effects associated with E167K coding variant in TM6SF2

Author: Yanbo Fan, Brooke N. Wolford, Haocheng Lu, Wenying Liang, Jinjian Sun, Wei Zhou, Oren Rom, Anubha Mahajan, Ida Surakka, Sarah E. Graham, Zhipeng Liu, Hyunbae Kim, Shweta Ramdas, Lars G. Fritsche, Jonas B. Nielsen, Maiken Elvestad Gabrielsen, Kristian Hveem, Dongshan Yang, Jun Song, Minerva T. Garcia-Barrio, Jifeng Zhang, Wanqing Liu, Kezhong Zhang, Cristen J. Willer, and Y. Eugene Chen
Subjects: Physiology, Molecular physiology, Diabetology, Genomics, Science
Abstract: Summary: The rs58542926C >T (E167K) variant of the transmembrane 6 superfamily member 2 gene (TM6SF2) is associated with increased risks for nonalcoholic fatty liver disease (NAFLD) and type 2 diabetes (T2D). Nevertheless, the role of the TM6SF2 rs58542926 variant in glucose metabolism is poorly understood. We performed a sex-stratified analysis of the association between the rs58542926C >T variant and T2D in multiple cohorts. The E167K variant was significantly associated with T2D, especially in males. Using an E167K knockin (KI) mouse model, we found that male but not the female KI mice exhibited impaired glucose tolerance. As an ER membrane protein, TM6SF2 was found to interact with inositol-requiring enzyme 1 α (IRE1α), a primary ER stress sensor. The male Tm6sf2 KI mice exhibited impaired IRE1α signaling in the liver. In conclusion, the E167K variant of TM6SF2 is associated with glucose intolerance primarily in males, both in humans and mice.
Published: 2021
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20. Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes

Author: Heming Wang, Jacqueline M. Lane, Samuel E. Jones, Hassan S. Dashti, Hanna M. Ollila, Andrew R. Wood, Vincent T. van Hees, Ben Brumpton, Bendik S. Winsvold, Katri Kantojärvi, Teemu Palviainen, Brian E. Cade, Tamar Sofer, Yanwei Song, Krunal Patel, Simon G. Anderson, David A. Bechtold, Jack Bowden, Richard Emsley, Simon D. Kyle, Max A. Little, Andrew S. Loudon, Frank A. J. L. Scheer, Shaun M. Purcell, Rebecca C. Richmond, Kai Spiegelhalder, Jessica Tyrrell, Xiaofeng Zhu, Christer Hublin, Jaakko A. Kaprio, Kati Kristiansson, Sonja Sulkava, Tiina Paunio, Kristian Hveem, Jonas B. Nielsen, Cristen J. Willer, John-Anker Zwart, Linn B. Strand, Timothy M. Frayling, David Ray, Deborah A. Lawlor, Martin K. Rutter, Michael N. Weedon, Susan Redline, and Richa Saxena
Subjects: Science
Abstract: A main symptom of chronic insufficient sleep is excessive daytime sleepiness. Here, Wang et al. report 42 genome-wide significant loci for self-reported daytime sleepiness in 452,071 individuals from the UK Biobank that cluster into two biological subtypes of either sleep propensity or sleep fragmentation.
Published: 2019
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21. Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis

Author: Sarah E. Graham, Jonas B. Nielsen, Matthew Zawistowski, Wei Zhou, Lars G. Fritsche, Maiken E. Gabrielsen, Anne Heidi Skogholt, Ida Surakka, Whitney E. Hornsby, Damian Fermin, Daniel B. Larach, Sachin Kheterpal, Chad M. Brummett, Seunggeun Lee, Hyun Min Kang, Goncalo R. Abecasis, Solfrid Romundstad, Stein Hallan, Matthew G. Sampson, Kristian Hveem, and Cristen J. Willer
Subjects: Science
Abstract: Estimated glomerular filtration rate (eGFR) is a measure of kidney function and used to characterize chronic kidney disease. Here, Graham et al. identify 53 novel loci for eGFR in a GWAS meta-analysis, a subset of which are associated with other common diseases, such as diabetes and hypertension, based on PheWAS.
Published: 2019
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22. Author Correction: GWAS of thyroid stimulating hormone highlights the pleiotropic effects and inverse association with thyroid cancer

Author: Wei Zhou, Ben Brumpton, Omer Kabil, Julius Gudmundsson, Gudmar Thorleifsson, Josh Weinstock, Matthew Zawistowski, Jonas B. Nielsen, Layal Chaker, Marco Medici, Alexander Teumer, Silvia Naitza, Serena Sanna, Ulla T. Schultheiss, Anne Cappola, Juha Karjalainen, Mitja Kurki, Morgan Oneka, Peter Taylor, Lars G. Fritsche, Sarah E. Graham, Brooke N. Wolford, William Overton, Humaira Rasheed, Eirin B. Haug, Maiken E. Gabrielsen, Anne Heidi Skogholt, Ida Surakka, George Davey Smith, Anita Pandit, Tanmoy Roychowdhury, Whitney E. Hornsby, Jon G. Jonasson, Leigha Senter, Sandya Liyanarachchi, Matthew D. Ringel, Li Xu, Lambertus A. Kiemeney, Huiling He, Romana T. Netea-Maier, Jose I. Mayordomo, Theo S. Plantinga, Jon Hrafnkelsson, Hannes Hjartarson, Erich M. Sturgis, Aarno Palotie, Mark Daly, Cintia E. Citterio, Peter Arvan, Chad M. Brummett, Michael Boehnke, Albert de la Chapelle, Kari Stefansson, Kristian Hveem, Cristen J. Willer, and Bjørn Olav Åsvold
Subjects: Science
Published: 2021
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23. Genome-scale CRISPR screening for modifiers of cellular LDL uptake.

Author: Brian T Emmer, Emily J Sherman, Paul J Lascuna, Sarah E Graham, Cristen J Willer, and David Ginsburg
Subjects: Genetics, QH426-470
Abstract: Hypercholesterolemia is a causal and modifiable risk factor for atherosclerotic cardiovascular disease. A critical pathway regulating cholesterol homeostasis involves the receptor-mediated endocytosis of low-density lipoproteins into hepatocytes, mediated by the LDL receptor. We applied genome-scale CRISPR screening to query the genetic determinants of cellular LDL uptake in HuH7 cells cultured under either lipoprotein-rich or lipoprotein-starved conditions. Candidate LDL uptake regulators were validated through the synthesis and secondary screening of a customized library of gRNA at greater depth of coverage. This secondary screen yielded significantly improved performance relative to the primary genome-wide screen, with better discrimination of internal positive controls, no identification of negative controls, and improved concordance between screen hits at both the gene and gRNA level. We then applied our customized gRNA library to orthogonal screens that tested for the specificity of each candidate regulator for LDL versus transferrin endocytosis, the presence or absence of genetic epistasis with LDLR deletion, the impact of each perturbation on LDLR expression and trafficking, and the generalizability of LDL uptake modifiers across multiple cell types. These findings identified several previously unrecognized genes with putative roles in LDL uptake and suggest mechanisms for their functional interaction with LDLR.
Published: 2021
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24. Exposure and risk factors for COVID-19 and the impact of staying home on Michigan residents.

Author: Kuan-Han H Wu, Whitney E Hornsby, Bethany Klunder, Amelia Krause, Anisa Driscoll, John Kulka, Ryan Bickett-Hickok, Austin Fellows, Sarah Graham, Erin O Kaleba, Salim S Hayek, Xu Shi, Nadia R Sutton, Nicholas Douville, Bhramar Mukherjee, Kenneth Jamerson, Chad M Brummett, and Cristen J Willer
Subjects: Medicine, Science
Abstract: COVID-19 has had a substantial impact on clinical care and lifestyles globally. The State of Michigan reports over 80,000 positive COVID-19 tests between March 1, 2020 and July 29, 2020. We surveyed 8,041 Michigan Medicine biorepository participants in late June 2020. We found that 55% of COVID-19 cases reported no known exposure to family members or to someone outside the house diagnosed with COVID-19. A significantly higher rate of COVID-19 cases were employed as essential workers (45% vs 19%, p = 9x10-12). COVID-19 cases reporting a fever were more likely to require hospitalization (categorized as severe; OR = 4.4 [95% CI: 1.6-12.5, p = 0.005]) whereas respondents reporting rhinorrhea was less likely to require hospitalization (categorized as mild-to-moderate; OR = 0.16 [95% CI: 0.04-0.73, p = 0.018]). African-Americans reported higher rates of being diagnosed with COVID-19 (OR = 4.0 [95% CI: 2.2-7.2, p = 5x10-6]), as well as higher rates of exposure to family or someone outside the household diagnosed with COVID-19, an annual household income < $40,000, living in rental housing, and chronic diseases. During the Executive Order in Michigan, African Americans, women, and the lowest income group reported worsening health behaviors and higher overall concern for the potential detrimental effects of the pandemic. The higher risk of contracting COVID-19 observed among African Americans may be due to the increased rates of working as essential employees, lower socioeconomic status, and exposure to known positive cases. Continued efforts should focus on COVID-19 prevention and mitigation strategies, as well as address the inequality gaps that result in higher risks for both short-term and long-term health outcomes.
Published: 2021
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25. Genetic associations with temporal shifts in obesity and severe obesity during the obesity epidemic in Norway: A longitudinal population-based cohort (the HUNT Study).

Author: Maria Brandkvist, Johan Håkon Bjørngaard, Rønnaug Astri Ødegård, Ben Brumpton, George Davey Smith, Bjørn Olav Åsvold, Erik R Sund, Kirsti Kvaløy, Cristen J Willer, and Gunnhild Åberge Vie
Subjects: Medicine
Abstract: BackgroundObesity has tripled worldwide since 1975 as environments are becoming more obesogenic. Our study investigates how changes in population weight and obesity over time are associated with genetic predisposition in the context of an obesogenic environment over 6 decades and examines the robustness of the findings using sibling design.Methods and findingsA total of 67,110 individuals aged 13-80 years in the Nord-Trøndelag region of Norway participated with repeated standardized body mass index (BMI) measurements from 1966 to 2019 and were genotyped in a longitudinal population-based health study, the Trøndelag Health Study (the HUNT Study). Genotyping required survival to and participation in the HUNT Study in the 1990s or 2000s. Linear mixed models with observations nested within individuals were used to model the association between a genome-wide polygenic score (GPS) for BMI and BMI, while generalized estimating equations were used for obesity (BMI ≥ 30 kg/m2) and severe obesity (BMI ≥ 35 kg/m2). The increase in the average BMI and prevalence of obesity was steeper among the genetically predisposed. Among 35-year-old men, the prevalence of obesity for the least predisposed tenth increased from 0.9% (95% confidence interval [CI] 0.6% to 1.2%) to 6.5% (95% CI 5.0% to 8.0%), while the most predisposed tenth increased from 14.2% (95% CI 12.6% to 15.7%) to 39.6% (95% CI 36.1% to 43.0%). Equivalently for women of the same age, the prevalence of obesity for the least predisposed tenth increased from 1.1% (95% CI 0.7% to1.5%) to 7.6% (95% CI 6.0% to 9.2%), while the most predisposed tenth increased from 15.4% (95% CI 13.7% to 17.2%) to 42.0% (95% CI 38.7% to 45.4%). Thus, for 35-year-old men and women, respectively, the absolute change in the prevalence of obesity from 1966 to 2019 was 19.8 percentage points (95% CI 16.2 to 23.5, p < 0.0001) and 20.0 percentage points (95% CI 16.4 to 23.7, p < 0.0001) greater for the most predisposed tenth compared with the least predisposed tenth, defined using the GPS for BMI. The corresponding absolute changes in the prevalence of severe obesity for men and women, respectively, were 8.5 percentage points (95% CI 6.3 to 10.7, p < 0.0001) and 12.6 percentage points (95% CI 9.6 to 15.6, p < 0.0001) greater for the most predisposed tenth. The greater increase in BMI in genetically predisposed individuals over time was apparent after adjustment for family-level confounding using a sibling design. Key limitations include a slightly lower survival to date of genetic testing for the older cohorts and that we apply a contemporary genetic score to past time periods. Future research should validate our findings using a polygenic risk score constructed from historical data.ConclusionsIn the context of increasingly obesogenic changes in our environment over 6 decades, our findings reveal a growing inequality in the risk for obesity and severe obesity across GPS tenths. Our results suggest that while obesity is a partially heritable trait, it is still modifiable by environmental factors. While it may be possible to identify those most susceptible to environmental change, who thus have the most to gain from preventive measures, efforts to reverse the obesogenic environment will benefit the whole population and help resolve the obesity epidemic.
Published: 2020
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26. Age-of-onset information helps identify 76 genetic variants associated with allergic disease.

Author: Manuel A R Ferreira, Judith M Vonk, Hansjörg Baurecht, Ingo Marenholz, Chao Tian, Joshua D Hoffman, Quinta Helmer, Annika Tillander, Vilhelmina Ullemar, Yi Lu, Sarah Grosche, Franz Rüschendorf, Raquel Granell, Ben M Brumpton, Lars G Fritsche, Laxmi Bhatta, Maiken E Gabrielsen, Jonas B Nielsen, Wei Zhou, Kristian Hveem, Arnulf Langhammer, Oddgeir L Holmen, Mari Løset, Gonçalo R Abecasis, Cristen J Willer, Nima C Emami, Taylor B Cavazos, John S Witte, Agnieszka Szwajda, andMe Research Team, collaborators of the SHARE study, David A Hinds, Norbert Hübner, Stephan Weidinger, Patrik Ke Magnusson, Eric Jorgenson, Robert Karlsson, Lavinia Paternoster, Dorret I Boomsma, Catarina Almqvist, Young-Ae Lee, and Gerard H Koppelman
Subjects: Genetics, QH426-470
Abstract: Risk factors that contribute to inter-individual differences in the age-of-onset of allergic diseases are poorly understood. The aim of this study was to identify genetic risk variants associated with the age at which symptoms of allergic disease first develop, considering information from asthma, hay fever and eczema. Self-reported age-of-onset information was available for 117,130 genotyped individuals of European ancestry from the UK Biobank study. For each individual, we identified the earliest age at which asthma, hay fever and/or eczema was first diagnosed and performed a genome-wide association study (GWAS) of this combined age-of-onset phenotype. We identified 50 variants with a significant independent association (P
Published: 2020
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27. Deep-coverage whole genome sequences and blood lipids among 16,324 individuals

Author: Pradeep Natarajan, Gina M. Peloso, Seyedeh Maryam Zekavat, May Montasser, Andrea Ganna, Mark Chaffin, Amit V. Khera, Wei Zhou, Jonathan M. Bloom, Jesse M. Engreitz, Jason Ernst, Jeffrey R. O’Connell, Sanni E. Ruotsalainen, Maris Alver, Ani Manichaikul, W. Craig Johnson, James A. Perry, Timothy Poterba, Cotton Seed, Ida L. Surakka, Tonu Esko, Samuli Ripatti, Veikko Salomaa, Adolfo Correa, Ramachandran S. Vasan, Manolis Kellis, Benjamin M. Neale, Eric S. Lander, Goncalo Abecasis, Braxton Mitchell, Stephen S. Rich, James G. Wilson, L. Adrienne Cupples, Jerome I. Rotter, Cristen J. Willer, Sekar Kathiresan, and NHLBI TOPMed Lipids Working Group
Subjects: Science
Abstract: Common genetic variants associated with plasma lipids have been extensively studied for a better understanding of common diseases. Here, the authors use whole-genome sequencing of 16,324 individuals to analyze rare variant associations and to determine their monogenic and polygenic contribution to lipid traits.
Published: 2018
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28. Genetic inactivation of ANGPTL4 improves glucose homeostasis and is associated with reduced risk of diabetes

Author: Viktoria Gusarova, Colm O’Dushlaine, Tanya M. Teslovich, Peter N. Benotti, Tooraj Mirshahi, Omri Gottesman, Cristopher V. Van Hout, Michael F. Murray, Anubha Mahajan, Jonas B. Nielsen, Lars Fritsche, Anders Berg Wulff, Daniel F. Gudbjartsson, Marketa Sjögren, Connor A. Emdin, Robert A. Scott, Wen-Jane Lee, Aeron Small, Lydia C. Kwee, Om Prakash Dwivedi, Rashmi B. Prasad, Shannon Bruse, Alexander E. Lopez, John Penn, Anthony Marcketta, Joseph B. Leader, Christopher D. Still, H. Lester Kirchner, Uyenlinh L. Mirshahi, Amr H. Wardeh, Cassandra M. Hartle, Lukas Habegger, Samantha N. Fetterolf, Teresa Tusie-Luna, Andrew P. Morris, Hilma Holm, Valgerdur Steinthorsdottir, Patrick Sulem, Unnur Thorsteinsdottir, Jerome I. Rotter, Lee-Ming Chuang, Scott Damrauer, David Birtwell, Chad M. Brummett, Amit V. Khera, Pradeep Natarajan, Marju Orho-Melander, Jason Flannick, Luca A. Lotta, Cristen J. Willer, Oddgeir L. Holmen, Marylyn D. Ritchie, David H. Ledbetter, Andrew J. Murphy, Ingrid B. Borecki, Jeffrey G. Reid, John D. Overton, Ola Hansson, Leif Groop, Svati H. Shah, William E. Kraus, Daniel J. Rader, Yii-Der I. Chen, Kristian Hveem, Nicholas J. Wareham, Sekar Kathiresan, Olle Melander, Kari Stefansson, Børge G. Nordestgaard, Anne Tybjærg-Hansen, Goncalo R. Abecasis, David Altshuler, Jose C. Florez, Michael Boehnke, Mark I. McCarthy, George D. Yancopoulos, David J. Carey, Alan R. Shuldiner, Aris Baras, Frederick E. Dewey, and Jesper Gromada
Subjects: Science
Abstract: Genetic variation in ANGPTL4 is associated with lipid traits. Here, the authors find that predicted loss-of-function variants in ANGPTL4 are associated with glucose homeostasis and reduced risk of type 2 diabetes and that Angptl4 −/− mice on a high-fat diet show improved insulin sensitivity.
Published: 2018
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29. Genome-wide analysis yields new loci associating with aortic valve stenosis

Author: Anna Helgadottir, Gudmar Thorleifsson, Solveig Gretarsdottir, Olafur A. Stefansson, Vinicius Tragante, Rosa B. Thorolfsdottir, Ingileif Jonsdottir, Thorsteinn Bjornsson, Valgerdur Steinthorsdottir, Niek Verweij, Jonas B. Nielsen, Wei Zhou, Lasse Folkersen, Andreas Martinsson, Mahyar Heydarpour, Siddharth Prakash, Gylfi Oskarsson, Tomas Gudbjartsson, Arnar Geirsson, Isleifur Olafsson, Emil L. Sigurdsson, Peter Almgren, Olle Melander, Anders Franco-Cereceda, Anders Hamsten, Lars Fritsche, Maoxuan Lin, Bo Yang, Whitney Hornsby, Dongchuan Guo, Chad M. Brummett, Gonçalo Abecasis, Michael Mathis, Dianna Milewicz, Simon C. Body, Per Eriksson, Cristen J. Willer, Kristian Hveem, Christopher Newton-Cheh, J. Gustav Smith, Ragnar Danielsen, Gudmundur Thorgeirsson, Unnur Thorsteinsdottir, Daniel F. Gudbjartsson, Hilma Holm, and Kari Stefansson
Subjects: Science
Abstract: Aortic valve stenosis (AS) is the most common valvular heart disease. Here the authors identify two new AS loci that also associate with bicuspid aortic valve, aortic root diameter and/or coronary artery disease implicating both developmental abnormalities and atherosclerosis-like processes in AS.
Published: 2018
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30. Protein-altering and regulatory genetic variants near GATA4 implicated in bicuspid aortic valve

Author: Bo Yang, Wei Zhou, Jiao Jiao, Jonas B. Nielsen, Michael R. Mathis, Mahyar Heydarpour, Guillaume Lettre, Lasse Folkersen, Siddharth Prakash, Claudia Schurmann, Lars Fritsche, Gregory A. Farnum, Maoxuan Lin, Mohammad Othman, Whitney Hornsby, Anisa Driscoll, Alexandra Levasseur, Marc Thomas, Linda Farhat, Marie-Pierre Dubé, Eric M. Isselbacher, Anders Franco-Cereceda, Dong-chuan Guo, Erwin P. Bottinger, G. Michael Deeb, Anna Booher, Sachin Kheterpal, Y. Eugene Chen, Hyun Min Kang, Jacob Kitzman, Heather J. Cordell, Bernard D. Keavney, Judith A. Goodship, Santhi K. Ganesh, Gonçalo Abecasis, Kim A. Eagle, Alan P. Boyle, Ruth J. F. Loos, Per Eriksson, Jean-Claude Tardif, Chad M. Brummett, Dianna M. Milewicz, Simon C. Body, and Cristen J. Willer
Subjects: Science
Abstract: Bicuspid aortic valve (BAV) is the most common human congenital cardiovascular malformation. Here, the authors perform a genome-wide association study for BAV and identify risk variants in the gene region of cardiac-specific transcription factor GATA4 and implicate GATA4 in heart valve development.
Published: 2017
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31. Spontaneous coronary artery dissection is infrequent in individuals with heritable thoracic aortic disease despite partially shared genetic susceptibility

Author: Andrea M, Murad, Hannah L, Hill, Yu, Wang, Michael, Ghannam, Min-Lee, Yang, Norma L, Pugh, Federico M, Asch, Whitney, Hornsby, Anisa, Driscoll, Jennifer, McNamara, Cristen J, Willer, Ellen S, Regalado, Dianna M, Milewicz, Kim A, Eagle, Santhi K, Ganesh, Cardiology, and ACS - Heart failure & arrhythmias
Subjects: Loeys-Dietz Syndrome, Coronary Vessel Anomalies, arterial disease, Article, Risk Factors, spontaneous coronary artery dissection, Genetics, Humans, familial thoracic aortic aneurysm and dissection, Ehlers-Danlos Syndrome, Genetic Predisposition to Disease, Vascular Diseases, Genetics (clinical), genetic susceptibility
Abstract: Spontaneous coronary artery dissection (SCAD) is a potential precipitant of myocardial infarction and sudden death for which the etiology is poorly understood. Mendelian vascular and connective tissue disorders underlying thoracic aortic disease (TAD), have been reported in ~5% of individuals with SCAD. We therefore hypothesized that patients with TAD are at elevated risk for SCAD. We queried registries enrolling patients with TAD to define the incidence of SCAD. Of 7568 individuals enrolled, 11 (0.15%) were found to have SCAD. Of the sequenced cases (9/11), pathogenic variants were identified (N = 9), including COL3A1 (N = 3), FBN1 (N = 2), TGFBR2 (N = 2), TGFBR1 (N = 1), and PRKG1 (N = 1). Individuals with SCAD had an increased frequency of iliac artery dissection (25.0% vs. 5.1%, p = 0.047). The prevalence of SCAD among individuals with TAD is low. The identification of pathogenic variants in genes previously described in individuals with SCAD, particularly those underlying vascular Ehlers–Danlos, Marfan syndrome, and Loeys–Dietz syndrome, is consistent with prior reports from clinical SCAD series. Further research is needed to identify specific genetic influences on SCAD risk.
Published: 2022
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32. New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk

Author: Yingchang Lu, Felix R. Day, Stefan Gustafsson, Martin L. Buchkovich, Jianbo Na, Veronique Bataille, Diana L. Cousminer, Zari Dastani, Alexander W. Drong, Tõnu Esko, David M. Evans, Mario Falchi, Mary F. Feitosa, Teresa Ferreira, Åsa K. Hedman, Robin Haring, Pirro G. Hysi, Mark M. Iles, Anne E. Justice, Stavroula Kanoni, Vasiliki Lagou, Rui Li, Xin Li, Adam Locke, Chen Lu, Reedik Mägi, John R. B. Perry, Tune H. Pers, Qibin Qi, Marianna Sanna, Ellen M. Schmidt, William R. Scott, Dmitry Shungin, Alexander Teumer, Anna A. E. Vinkhuyzen, Ryan W. Walker, Harm-Jan Westra, Mingfeng Zhang, Weihua Zhang, Jing Hua Zhao, Zhihong Zhu, Uzma Afzal, Tarunveer Singh Ahluwalia, Stephan J. L. Bakker, Claire Bellis, Amélie Bonnefond, Katja Borodulin, Aron S. Buchman, Tommy Cederholm, Audrey C. Choh, Hyung Jin Choi, Joanne E. Curran, Lisette C. P. G. M. de Groot, Philip L. De Jager, Rosalie A. M. Dhonukshe-Rutten, Anke W. Enneman, Elodie Eury, Daniel S. Evans, Tom Forsen, Nele Friedrich, Frédéric Fumeron, Melissa E. Garcia, Simone Gärtner, Bok-Ghee Han, Aki S. Havulinna, Caroline Hayward, Dena Hernandez, Hans Hillege, Till Ittermann, Jack W. Kent, Ivana Kolcic, Tiina Laatikainen, Jari Lahti, Irene Mateo Leach, Christine G. Lee, Jong-Young Lee, Tian Liu, Youfang Liu, Stéphane Lobbens, Marie Loh, Leo-Pekka Lyytikäinen, Carolina Medina-Gomez, Karl Michaëlsson, Mike A. Nalls, Carrie M. Nielson, Laticia Oozageer, Laura Pascoe, Lavinia Paternoster, Ozren Polašek, Samuli Ripatti, Mark A. Sarzynski, Chan Soo Shin, Nina Smolej Narančić, Dominik Spira, Priya Srikanth, Elisabeth Steinhagen-Thiessen, Yun Ju Sung, Karin M. A. Swart, Leena Taittonen, Toshiko Tanaka, Emmi Tikkanen, Nathalie van der Velde, Natasja M. van Schoor, Niek Verweij, Alan F. Wright, Lei Yu, Joseph M. Zmuda, Niina Eklund, Terrence Forrester, Niels Grarup, Anne U. Jackson, Kati Kristiansson, Teemu Kuulasmaa, Johanna Kuusisto, Peter Lichtner, Jian'an Luan, Anubha Mahajan, Satu Männistö, Cameron D. Palmer, Janina S. Ried, Robert A. Scott, Alena Stancáková, Peter J. Wagner, Ayse Demirkan, Angela Döring, Vilmundur Gudnason, Douglas P. Kiel, Brigitte Kühnel, Massimo Mangino, Barbara Mcknight, Cristina Menni, Jeffrey R. O'Connell, Ben A. Oostra, Alan R. Shuldiner, Kijoung Song, Liesbeth Vandenput, Cornelia M. van Duijn, Peter Vollenweider, Charles C. White, Michael Boehnke, Yvonne Boettcher, Richard S. Cooper, Nita G. Forouhi, Christian Gieger, Harald Grallert, Aroon Hingorani, Torben Jørgensen, Pekka Jousilahti, Mika Kivimaki, Meena Kumari, Markku Laakso, Claudia Langenberg, Allan Linneberg, Amy Luke, Colin A. Mckenzie, Aarno Palotie, Oluf Pedersen, Annette Peters, Konstantin Strauch, Bamidele O. Tayo, Nicholas J. Wareham, David A. Bennett, Lars Bertram, John Blangero, Matthias Blüher, Claude Bouchard, Harry Campbell, Nam H. Cho, Steven R. Cummings, Stefan A. Czerwinski, Ilja Demuth, Rahel Eckardt, Johan G. Eriksson, Luigi Ferrucci, Oscar H. Franco, Philippe Froguel, Ron T. Gansevoort, Torben Hansen, Tamara B. Harris, Nicholas Hastie, Markku Heliövaara, Albert Hofman, Joanne M. Jordan, Antti Jula, Mika Kähönen, Eero Kajantie, Paul B. Knekt, Seppo Koskinen, Peter Kovacs, Terho Lehtimäki, Lars Lind, Yongmei Liu, Eric S. Orwoll, Clive Osmond, Markus Perola, Louis Pérusse, Olli T. Raitakari, Tuomo Rankinen, D. C. Rao, Treva K. Rice, Fernando Rivadeneira, Igor Rudan, Veikko Salomaa, Thorkild I. A. Sørensen, Michael Stumvoll, Anke Tönjes, Bradford Towne, Gregory J. Tranah, Angelo Tremblay, André G. Uitterlinden, Pim van der Harst, Erkki Vartiainen, Jorma S. Viikari, Veronique Vitart, Marie-Claude Vohl, Henry Völzke, Mark Walker, Henri Wallaschofski, Sarah Wild, James F. Wilson, Loïc Yengo, D. Timothy Bishop, Ingrid B. Borecki, John C. Chambers, L. Adrienne Cupples, Abbas Dehghan, Panos Deloukas, Ghazaleh Fatemifar, Caroline Fox, Terrence S. Furey, Lude Franke, Jiali Han, David J. Hunter, Juha Karjalainen, Fredrik Karpe, Robert C. Kaplan, Jaspal S. Kooner, Mark I. McCarthy, Joanne M. Murabito, Andrew P. Morris, Julia A. N. Bishop, Kari E. North, Claes Ohlsson, Ken K. Ong, Inga Prokopenko, J. Brent Richards, Eric E. Schadt, Tim D. Spector, Elisabeth Widén, Cristen J. Willer, Jian Yang, Erik Ingelsson, Karen L. Mohlke, Joel N. Hirschhorn, John Andrew Pospisilik, M. Carola Zillikens, Cecilia Lindgren, Tuomas Oskari Kilpeläinen, and Ruth J. F. Loos
Subjects: Science
Abstract: A genome-wide association meta-analysis study here shows novel genetic loci to be associated to body fat percentage, and describes cross-phenotype association that further demonstrate a close relationship between adiposity and cardiovascular disease risk.
Published: 2016
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33. Meta-analysis fine-mapping is often miscalibrated at single-variant resolution

Author: Masahiro Kanai, Roy Elzur, Wei Zhou, Mark J. Daly, Hilary K. Finucane, Kuan-Han H. Wu, Humaira Rasheed, Kristin Tsuo, Jibril B. Hirbo, Ying Wang, Arjun Bhattacharya, Huiling Zhao, Shinichi Namba, Ida Surakka, Brooke N. Wolford, Valeria Lo Faro, Esteban A. Lopera-Maya, Kristi Läll, Marie-Julie Favé, Juulia J. Partanen, Sinéad B. Chapman, Juha Karjalainen, Mitja Kurki, Mutaamba Maasha, Ben M. Brumpton, Sameer Chavan, Tzu-Ting Chen, Michelle Daya, Yi Ding, Yen-Chen A. Feng, Lindsay A. Guare, Christopher R. Gignoux, Sarah E. Graham, Whitney E. Hornsby, Nathan Ingold, Said I. Ismail, Ruth Johnson, Triin Laisk, Kuang Lin, Jun Lv, Iona Y. Millwood, Sonia Moreno-Grau, Kisung Nam, Priit Palta, Anita Pandit, Michael H. Preuss, Chadi Saad, Shefali Setia-Verma, Unnur Thorsteinsdottir, Jasmina Uzunovic, Anurag Verma, Matthew Zawistowski, Xue Zhong, Nahla Afifi, Kawthar M. Al-Dabhani, Asma Al Thani, Yuki Bradford, Archie Campbell, Kristy Crooks, Geertruida H. de Bock, Scott M. Damrauer, Nicholas J. Douville, Sarah Finer, Lars G. Fritsche, Eleni Fthenou, Gilberto Gonzalez-Arroyo, Christopher J. Griffiths, Yu Guo, Karen A. Hunt, Alexander Ioannidis, Nomdo M. Jansonius, Takahiro Konuma, Ming Ta Michael Lee, Arturo Lopez-Pineda, Yuta Matsuda, Riccardo E. Marioni, Babak Moatamed, Marco A. Nava-Aguilar, Kensuke Numakura, Snehal Patil, Nicholas Rafaels, Anne Richmond, Agustin Rojas-Muñoz, Jonathan A. Shortt, Peter Straub, Ran Tao, Brett Vanderwerff, Manvi Vernekar, Yogasudha Veturi, Kathleen C. Barnes, Marike Boezen, Zhengming Chen, Chia-Yen Chen, Judy Cho, George Davey Smith, Lude Franke, Eric R. Gamazon, Andrea Ganna, Tom R. Gaunt, Tian Ge, Hailiang Huang, Jennifer Huffman, Nicholas Katsanis, Jukka T. Koskela, Clara Lajonchere, Matthew H. Law, Liming Li, Cecilia M. Lindgren, Ruth J.F. Loos, Stuart MacGregor, Koichi Matsuda, Catherine M. Olsen, David J. Porteous, Jordan A. Shavit, Harold Snieder, Tomohiro Takano, Richard C. Trembath, Judith M. Vonk, David C. Whiteman, Stephen J. Wicks, Cisca Wijmenga, John Wright, Jie Zheng, Xiang Zhou, Philip Awadalla, Michael Boehnke, Carlos D. Bustamante, Nancy J. Cox, Segun Fatumo, Daniel H. Geschwind, Caroline Hayward, Kristian Hveem, Eimear E. Kenny, Seunggeun Lee, Yen-Feng Lin, Hamdi Mbarek, Reedik Mägi, Hilary C. Martin, Sarah E. Medland, Yukinori Okada, Aarno V. Palotie, Bogdan Pasaniuc, Daniel J. Rader, Marylyn D. Ritchie, Serena Sanna, Jordan W. Smoller, Kari Stefansson, David A. van Heel, Robin G. Walters, Sebastian Zöllner, null Biobank of the Americas, null Biobank Japan Project, null BioMe, null BioVU, null CanPath - Ontario Health Study, null China Kadoorie Biobank Collaborative Group, null Colorado Center for Personalized Medicine, null deCODE Genetics, null Estonian Biobank, FinnGen, null Generation Scotland, null Genes & Health Research Team, null LifeLines, null Mass General Brigham Biobank, null Michigan Genomics Initiative, null National Biobank of Korea, null Penn Medicine BioBank, null Qatar Biobank, null The Qskin Sun and Health Study, null Taiwan Biobank, null The Hunt Study, null Ucla Atlas Community Health Initiative, null Uganda Genome Resource, null Uk Biobank, Alicia R. Martin, Cristen J. Willer, Benjamin M. Neale, Institute for Molecular Medicine Finland, Samuli Olli Ripatti / Principal Investigator, Complex Disease Genetics, Genomics of Neurological and Neuropsychiatric Disorders, Data Science Genetic Epidemiology Lab, Research Programs Unit, Centre of Excellence in Complex Disease Genetics, Aarno Palotie / Principal Investigator, and University of Helsinki
Subjects: biobank, meta-analysis, genome-wide association study, fine-mapping, Genetics, 1184 Genetics, developmental biology, physiology, GWAS, 3111 Biomedicine, heterogeneity, summary statistics, Biochemistry, Genetics and Molecular Biology (miscellaneous), linkage disequilibrium, miscalibration
Abstract: Funding Information: We acknowledge all the participants and researchers of the 23 biobanks that have contributed to the GBMI. Biobank-specific acknowledgments are included in the Data S3 . We thank H. Huang, A.R. Martin, B.M. Neale, Y. Okada, K. Tsuo, J.C. Ulirsch, Y. Wang, and all the members of Finucane and Daly labs for their helpful feedback. M.K. was supported by a Nakajima Foundation Fellowship and the Masason Foundation . H.K.F. was funded by NIH grant DP5 OD024582 . Publisher Copyright: © 2022 The Author(s) Meta-analysis is pervasively used to combine multiple genome-wide association studies (GWASs). Fine-mapping of meta-analysis studies is typically performed as in a single-cohort study. Here, we first demonstrate that heterogeneity (e.g., of sample size, phenotyping, imputation) hurts calibration of meta-analysis fine-mapping. We propose a summary statistics-based quality-control (QC) method, suspicious loci analysis of meta-analysis summary statistics (SLALOM), that identifies suspicious loci for meta-analysis fine-mapping by detecting outliers in association statistics. We validate SLALOM in simulations and the GWAS Catalog. Applying SLALOM to 14 meta-analyses from the Global Biobank Meta-analysis Initiative (GBMI), we find that 67% of loci show suspicious patterns that call into question fine-mapping accuracy. These predicted suspicious loci are significantly depleted for having nonsynonymous variants as lead variant (2.7×; Fisher's exact p = 7.3 × 10−4). We find limited evidence of fine-mapping improvement in the GBMI meta-analyses compared with individual biobanks. We urge extreme caution when interpreting fine-mapping results from meta-analysis of heterogeneous cohorts.
Published: 2022

34. Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals

Author: John Michael Gaziano, Snehal Patil, Cassiane Robinson-Cohen, Thomas W. Winkler, Humaira Rasheed, Anna Köttgen, Christopher J. O'Donnell, Sarah E. Graham, Stein Hallan, Brett R Vanderweff, Kira J Stanzick, Cristian Pattaro, Matthias Wuttke, Bjørn Olav Åsvold, Iris M. Heid, Adriana M. Hung, Bryce X Rowan, Pascal Schlosser, Klaus Stark, VA Million Veteran Program, Cristen J. Willer, André Gessner, Yong Li, Mathias Gorski, and Laurent F. Thomas
Subjects: 0301 basic medicine, Science, Quantitative Trait Loci, 610 Medizin, General Physics and Astronomy, Renal function, Genome-wide association study, RNA-Seq, Computational biology, Biology, Quantitative trait locus, Kidney, Genome-wide association studies, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Chronic kidney disease, Genetics research, Databases, Genetic, medicine, Humans, Genetic Predisposition to Disease, Renal Insufficiency, Chronic, Gene, Genetic association, ddc:610, Multidisciplinary, Kidney metabolism, General Chemistry, medicine.disease, Cystatins, Europe, 030104 developmental biology, Gene Expression Regulation, Organ Specificity, Creatinine, Single-Cell Analysis, Biomarkers, 030217 neurology & neurosurgery, Genome-Wide Association Study, Glomerular Filtration Rate, Kidney disease
Abstract: Genes underneath signals from genome-wide association studies (GWAS) for kidney function are promising targets for functional studies, but prioritizing variants and genes is challenging. By GWAS meta-analysis for creatinine-based estimated glomerular filtration rate (eGFR) from the Chronic Kidney Disease Genetics Consortium and UK Biobank (n = 1,201,909), we expand the number of eGFRcrea loci (424 loci, 201 novel; 9.8% eGFRcrea variance explained by 634 independent signal variants). Our increased sample size in fine-mapping (n = 1,004,040, European) more than doubles the number of signals with resolved fine-mapping (99% credible sets down to 1 variant for 44 signals, ≤5 variants for 138 signals). Cystatin-based eGFR and/or blood urea nitrogen association support 348 loci (n = 460,826 and 852,678, respectively). Our customizable tool for Gene PrioritiSation reveals 23 compelling genes including mechanistic insights and enables navigation through genes and variants likely relevant for kidney function in human to help select targets for experimental follow-up., Identifying causal variants and genes in genome-wide association studies remains a challenge, an issue that is ameliorated with larger sample sizes. Here the authors meta-analyze kidney function genome-wide association studies to identify new loci and fine-map loci to home in on variants and genes involved in kidney function.
Published: 2021

35. Genomic correlates of glatiramer acetate adverse cardiovascular effects lead to a novel locus mediating coronary risk.

Author: Ingrid Brænne, Lingyao Zeng, Christina Willenborg, Vinicius Tragante, Thorsten Kessler, CARDIoGRAM Consortium, CARDIoGRAMplusC4D Consortium, Cristen J Willer, Markku Laakso, Lars Wallentin, Paul W Franks, Veikko Salomaa, Abbas Dehghan, Thomas Meitinger, Nilesh J Samani, Folkert W Asselbergs, Jeanette Erdmann, and Heribert Schunkert
Subjects: Medicine, Science
Abstract: Glatiramer acetate is used therapeutically in multiple sclerosis but also known for adverse effects including elevated coronary artery disease (CAD) risk. The mechanisms underlying the cardiovascular side effects of the medication are unclear. Here, we made use of the chromosomal variation in the genes that are known to be affected by glatiramer treatment. Focusing on genes and gene products reported by drug-gene interaction database to interact with glatiramer acetate we explored a large meta-analysis on CAD genome-wide association studies aiming firstly, to investigate whether variants in these genes also affect cardiovascular risk and secondly, to identify new CAD risk genes. We traced association signals in a 200-kb region around genomic positions of genes interacting with glatiramer in up to 60 801 CAD cases and 123 504 controls. We validated the identified association in additional 21 934 CAD cases and 76 087 controls. We identified three new CAD risk alleles within the TGFB1 region on chromosome 19 that independently affect CAD risk. The lead SNP rs12459996 was genome-wide significantly associated with CAD in the extended meta-analysis (odds ratio 1.09, p = 1.58×10-12). The other two SNPs at the locus were not in linkage disequilibrium with the lead SNP and by a conditional analysis showed p-values of 4.05 × 10-10 and 2.21 × 10-6. Thus, studying genes reported to interact with glatiramer acetate we identified genetic variants that concordantly with the drug increase the risk of CAD. Of these, TGFB1 displayed signal for association. Indeed, the gene has been associated with CAD previously in both in vivo and in vitro studies. Here we establish genome-wide significant association with CAD in large human samples.
Published: 2017
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36. Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses

Author: Yoonsu Cho, Ben Michael Brumpton, Jaakko Kaprio, Johan Håkon Bjørngaard, Elliot M. Tucker-Drob, Tim T Morris, Neil M Davies, Sean Harrison, Laurence J. Howe, Wei-Min Chen, Nancy L. Pedersen, Gunnhild Åberge Vie, Kristian Hveem, Karl Heilbron, Fernando Pires Hartwig, Michel G. Nivard, Gibran Hemani, Laura D Howe, George Davey Smith, David M. Evans, Michael C. Neale, Bjørn Olav Åsvold, Eleanor Sanderson, Adam Auton, Andrew D. Grotzinger, Shuai Li, Amanda Hughes, Cristen J. Willer, Chandra A. Reynolds, Frank Windmeijer, Dorret I. Boomsma, John L. Hopper, Alexandra Havdahl, Institute for Molecular Medicine Finland, Department of Public Health, University of Helsinki, HUS Helsinki and Uusimaa Hospital District, APH - Methodology, APH - Mental Health, Biological Psychology, Brumpton, Ben [0000-0002-3058-1059], Sanderson, Eleanor [0000-0001-5188-5775], Hartwig, Fernando Pires [0000-0003-3729-0710], Harrison, Sean [0000-0002-7966-0700], Vie, Gunnhild Åberge [0000-0003-1552-5291], Cho, Yoonsu [0000-0001-6118-6652], Havdahl, Alexandra [0000-0002-9268-0423], Neale, Michael [0000-0003-4887-659X], Nivard, Michel G [0000-0003-2015-1888], Grotzinger, Andrew [0000-0001-7852-9244], Morris, Tim [0000-0001-8178-6815], Willer, Cristen [0000-0001-5645-4966], Evans, David M [0000-0003-0663-4621], Kaprio, Jaakko [0000-0002-3716-2455], Davey Smith, George [0000-0002-1407-8314], Hemani, Gibran [0000-0003-0920-1055], Davies, Neil M [0000-0002-2460-0508], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Male, Netherlands Twin Register (NTR), gene-environment correlation, Epidemiology, General Physics and Astronomy, Matematikk og Naturvitenskap: 400::Basale biofag: 470 [VDP], Body Mass Index, 0302 clinical medicine, HEIGHT, Risk Factors, Genetics research, genetics, 030212 general & internal medicine, lcsh:Science, Multidisciplinary, Confounding, Mendelian Randomization Analysis, ASSOCIATION, 3142 Public health care science, environmental and occupational health, educational attainment, Female, TRAITS, TRANSMISSION, Science, Biology, Population stratification, Polymorphism, Single Nucleotide, Article, General Biochemistry, Genetics and Molecular Biology, BMI, 03 medical and health sciences, Medical research, SDG 3 - Good Health and Well-being, Mendelian randomization, Genetics, LINKAGE, Humans, Matematikk og Naturvitenskap: 400 [VDP], COMMON, Linkage (software), EDUCATIONAL-ATTAINMENT, Assortative mating, Gene-environment correlation, General Chemistry, confounding, BODY-MASS INDEX, 3141 Health care science, 030104 developmental biology, Matematikk og Naturvitenskap: 400::Basale biofag: 470::Genetikk og genomikk: 474 [VDP], INFERENCE, lcsh:Q, DISEQUILIBRIUM, Body mass index, height, Demography
Abstract: Estimates from Mendelian randomization studies of unrelated individuals can be biased due to uncontrolled confounding from familial effects. Here we describe methods for within-family Mendelian randomization analyses and use simulation studies to show that family-based analyses can reduce such biases. We illustrate empirically how familial effects can affect estimates using data from 61,008 siblings from the Nord-Trøndelag Health Study and UK Biobank and replicated our findings using 222,368 siblings from 23andMe. Both Mendelian randomization estimates using unrelated individuals and within family methods reproduced established effects of lower BMI reducing risk of diabetes and high blood pressure. However, while Mendelian randomization estimates from samples of unrelated individuals suggested that taller height and lower BMI increase educational attainment, these effects were strongly attenuated in within-family Mendelian randomization analyses. Our findings indicate the necessity of controlling for population structure and familial effects in Mendelian randomization studies., Family-based study designs have been applied to resolve confounding by population stratification, dynastic effects and assortative mating in genetic association analyses. Here, Brumpton et al. describe theory and simulations for overcoming such biases in Mendelian randomization through within-family studies.
Published: 2020
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37. A Novel Variant in APOB Gene Causes Extremely Low LDL-C Without Known Adverse Effects

Author: Robert D. Brook, Whitney E. Hornsby, Melvyn Rubenfire, Richard L. Weinberg, Cristen J. Willer, Kristian Hveem, Lars G. Fritsche, Y. Eugene Chen, Linda Farhat, and Ida Surakka
Subjects: 0301 basic medicine, medicine.medical_specialty, Apolipoprotein B, Apob gene, Low density lipoprotein cholesterol, Case Report, 030105 genetics & heredity, apolipoprotein B loss-of-function, Frameshift mutation, 03 medical and health sciences, 0302 clinical medicine, Clinical Case, Internal medicine, medicine, Diseases of the circulatory (Cardiovascular) system, FHBL, familial hypobetalipoproteinemia, Adverse effect, Lipoprotein cholesterol, low-density lipoprotein cholesterol, apoB, apolipoprotein B, biology, business.industry, hypobetalipoproteinemia, medicine.disease, Endocrinology, RC666-701, LoF, loss-of-function, biology.protein, lipids (amino acids, peptides, and proteins), LDL-C, low-density lipoprotein cholesterol, Hypobetalipoproteinemia, Cardiology and Cardiovascular Medicine, business, 030217 neurology & neurosurgery
Abstract: A novel frameshift variant was identified in APOB that segregates in a dominant manner with low levels of low-density lipoprotein cholesterol. Affected family members show no apparent clinical complications. There is no consensus regarding clinical management, and the long-term consequences of low levels of low-density lipoprotein cholesterol remain unknown. (Level of Difficulty: Advanced.), Graphical abstract, A novel frameshift variant was identified in APOB that segregates in a dominant manner with low levels of low-density lipoprotein cholesterol…
Published: 2020

38. Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes

Author: George Hindy, Peter Dornbos, Mark D. Chaffin, Dajiang J. Liu, Minxian Wang, Margaret Sunitha Selvaraj, David Zhang, Joseph Park, Carlos A. Aguilar-Salinas, Lucinda Antonacci-Fulton, Diego Ardissino, Donna K. Arnett, Stella Aslibekyan, Gil Atzmon, Christie M. Ballantyne, Francisco Barajas-Olmos, Nir Barzilai, Lewis C. Becker, Lawrence F. Bielak, Joshua C. Bis, John Blangero, Eric Boerwinkle, Lori L. Bonnycastle, Erwin Bottinger, Donald W. Bowden, Matthew J. Bown, Jennifer A. Brody, Jai G. Broome, Noël P. Burtt, Brian E. Cade, Federico Centeno-Cruz, Edmund Chan, Yi-Cheng Chang, Yii-Der I. Chen, Ching-Yu Cheng, Won Jung Choi, Rajiv Chowdhury, Cecilia Contreras-Cubas, Emilio J. Córdova, Adolfo Correa, L. Adrienne Cupples, Joanne E. Curran, John Danesh, Paul S. de Vries, Ralph A. DeFronzo, Harsha Doddapaneni, Ravindranath Duggirala, Susan K. Dutcher, Patrick T. Ellinor, Leslie S. Emery, Jose C. Florez, Myriam Fornage, Barry I. Freedman, Valentin Fuster, Ma. Eugenia Garay-Sevilla, Humberto García-Ortiz, Soren Germer, Richard A. Gibbs, Christian Gieger, Benjamin Glaser, Clicerio Gonzalez, Maria Elena Gonzalez-Villalpando, Mariaelisa Graff, Sarah E. Graham, Niels Grarup, Leif C. Groop, Xiuqing Guo, Namrata Gupta, Sohee Han, Craig L. Hanis, Torben Hansen, Jiang He, Nancy L. Heard-Costa, Yi-Jen Hung, Mi Yeong Hwang, Marguerite R. Irvin, Sergio Islas-Andrade, Gail P. Jarvik, Hyun Min Kang, Sharon L.R. Kardia, Tanika Kelly, Eimear E. Kenny, Alyna T. Khan, Bong-Jo Kim, Ryan W. Kim, Young Jin Kim, Heikki A. Koistinen, Charles Kooperberg, Johanna Kuusisto, Soo Heon Kwak, Markku Laakso, Leslie A. Lange, Jiwon Lee, Juyoung Lee, Seonwook Lee, Donna M. Lehman, Rozenn N. Lemaitre, Allan Linneberg, Jianjun Liu, Ruth J.F. Loos, Steven A. Lubitz, Valeriya Lyssenko, Ronald C.W. Ma, Lisa Warsinger Martin, Angélica Martínez-Hernández, Rasika A. Mathias, Stephen T. McGarvey, Ruth McPherson, James B. Meigs, Thomas Meitinger, Olle Melander, Elvia Mendoza-Caamal, Ginger A. Metcalf, Xuenan Mi, Karen L. Mohlke, May E. Montasser, Jee-Young Moon, Hortensia Moreno-Macías, Alanna C. Morrison, Donna M. Muzny, Sarah C. Nelson, Peter M. Nilsson, Jeffrey R. O’Connell, Marju Orho-Melander, Lorena Orozco, Colin N.A. Palmer, Nicholette D. Palmer, Cheol Joo Park, Kyong Soo Park, Oluf Pedersen, Juan M. Peralta, Patricia A. Peyser, Wendy S. Post, Michael Preuss, Bruce M. Psaty, Qibin Qi, D.C. Rao, Susan Redline, Alexander P. Reiner, Cristina Revilla-Monsalve, Stephen S. Rich, Nilesh Samani, Heribert Schunkert, Claudia Schurmann, Daekwan Seo, Jeong-Sun Seo, Xueling Sim, Rob Sladek, Kerrin S. Small, Wing Yee So, Adrienne M. Stilp, E. Shyong Tai, Claudia H.T. Tam, Kent D. Taylor, Yik Ying Teo, Farook Thameem, Brian Tomlinson, Michael Y. Tsai, Tiinamaija Tuomi, Jaakko Tuomilehto, Teresa Tusié-Luna, Miriam S. Udler, Rob M. van Dam, Ramachandran S. Vasan, Karine A. Viaud Martinez, Fei Fei Wang, Xuzhi Wang, Hugh Watkins, Daniel E. Weeks, James G. Wilson, Daniel R. Witte, Tien-Yin Wong, Lisa R. Yanek, Sekar Kathiresan, Daniel J. Rader, Jerome I. Rotter, Michael Boehnke, Mark I. McCarthy, Cristen J. Willer, Pradeep Natarajan, Jason A. Flannick, Amit V. Khera, Gina M. Peloso, NIH - National Heart, Lung, and Blood Institute (NHLBI) (Estados Unidos), Centre of Excellence in Complex Disease Genetics, HUS Abdominal Center, Institute for Molecular Medicine Finland, Leif Groop Research Group, Clinicum, Department of Medicine, HUS Internal Medicine and Rehabilitation, University of Helsinki, and Department of Public Health
Subjects: APOC3, Blood Glucose, Multifactorial Inheritance, gene-based association, Polymorphism, Single Nucleotide, Article, Open Reading Frames, ANGPTL3, lipid, OF-FUNCTION MUTATIONS, BINDING, Databases, Genetic, SEQUENCE VARIANTS, Genetics, Humans, Exome, Genetic Predisposition to Disease, SINUSOIDAL ENDOTHELIAL-CELLS, Genetics (clinical), Alleles, RISK, IDENTIFICATION, 1184 Genetics, developmental biology, physiology, association, cholesterol, Genetic Variation, Computational Biology, Molecular Sequence Annotation, PERILIPIN, Lipid Metabolism, Lipids, Genetics, Population, Phenotype, Diabetes Mellitus, Type 2, Liver, Case-Control Studies, exome sequencing, TRIGLYCERIDES, Genome-Wide Association Study
Abstract: Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency < 1%) predicted damaging coding variation by using sequence data from >170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels; some of these genes have not been previously associated with lipid levels when using rare coding variation from population-based samples. We prioritize 32 genes in array-based genome-wide association study (GWAS) loci based on aggregations of rare coding variants; three (EVI5, SH2B3, and PLIN1) had no prior association of rare coding variants with lipid levels. Most of our associated genes showed evidence of association among multiple ancestries. Finally, we observed an enrichment of gene-based associations for low-density lipoprotein cholesterol drug target genes and for genes closest to GWAS index single-nucleotide polymorphisms (SNPs). Our results demonstrate that gene-based associations can be beneficial for drug target development and provide evidence that the gene closest to the array-based GWAS index SNP is often the functional gene for blood lipid levels. This work was supported by a grant from the Swedish Research Council (2016-06830) and grants from the National Heart, Lung, and Blood Institute (NHLBI): R01HL142711 and R01HL127564. Please refer to the supplemental information for the full acknowledgements. Sí
Published: 2022
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39. Genome-wide association study of cardiac troponin i in the general population

Author: Ida Surakka, Magnus Nakrem Lyngbakken, Nay Aung, Jonathon LeFaive, Caroline Hayward, Ailin Falkmo Hansen, Wei Zhou, Paul Welsh, Sarah E. Graham, Jonas B. Nielsen, Sarah A Gagliano Taliun, Archie Campbell, Brooke N. Wolford, Patricia B. Munroe, David J. Porteous, Bjørn Olav Åsvold, Marta R Moksnes, Lars G. Fritsche, George Davey Smith, Cristen J. Willer, Torbjørn Omland, Humaira Rasheed, Nicholas J. Douville, Ben Michael Brumpton, Helge Røsjø, Kristian Hveem, Laurent F. Thomas, Anne Richmond, Naveed Sattar, and Steffen E. Petersen
Subjects: AcademicSubjects/SCI01140, medicine.medical_specialty, Heart disease, Population, Quantitative Trait Loci, Gene Expression, Genome-wide association study, macromolecular substances, 030204 cardiovascular system & hematology, Biology, 03 medical and health sciences, 0302 clinical medicine, Troponin T, Internal medicine, Mendelian randomization, Troponin I, Genetics, medicine, genetics, Myocardial infarction, cardiovascular diseases, education, Association Studies Article, genes, Molecular Biology, Genetics (clinical), Alleles, 030304 developmental biology, 0303 health sciences, education.field_of_study, genome-wide association study, cardiac troponin i, Chromosome Mapping, Genetic Variation, General Medicine, Mendelian Randomization Analysis, medicine.disease, musculoskeletal system, Genetics, Population, Organ Specificity, Heart failure, Cardiology, cardiovascular system, Biomarker (medicine), Biomarkers, Genome-Wide Association Study
Abstract: Circulating cardiac troponin proteins are associated with structural heart disease and predict incident cardiovascular disease in the general population. However, the genetic contribution to cardiac troponin I (cTnI) concentrations and its causal effect on cardiovascular phenotypes are unclear. We combine data from two large population-based studies, the Trøndelag Health Study and the Generation Scotland Scottish Family Health Study, and perform a genome-wide association study of high-sensitivity cTnI concentrations with 48 115 individuals. We further use two-sample Mendelian randomization to investigate the causal effects of circulating cTnI on acute myocardial infarction (AMI) and heart failure (HF). We identified 12 genetic loci (8 novel) associated with cTnI concentrations. Associated protein-altering variants highlighted putative functional genes: CAND2, HABP2, ANO5, APOH, FHOD3, TNFAIP2, KLKB1 and LMAN1. Phenome-wide association tests in 1688 phecodes and 83 continuous traits in UK Biobank showed associations between a genetic risk score for cTnI and cardiac arrhythmias, metabolic and anthropometric measures. Using two-sample Mendelian randomization, we confirmed the non-causal role of cTnI in AMI (5948 cases, 355 246 controls). We found indications for a causal role of cTnI in HF (47 309 cases and 930 014 controls), but this was not supported by secondary analyses using left ventricular mass as outcome (18 257 individuals). Our findings clarify the biology underlying the heritable contribution to circulating cTnI and support cTnI as a non-causal biomarker for AMI in the general population. Using genetically informed methods for causal inference helps inform the role and value of measuring cTnI in the general population.
Published: 2021
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40. Type 2 diabetes sex-specific effects associated with E167K coding variant in TM6SF2

Author: Anubha Mahajan, Kezhong Zhang, Jun Song, Dongshan Yang, Zhipeng Liu, Jinjian Sun, Yanbo Fan, Y. Eugene Chen, Jifeng Zhang, Sarah E. Graham, Kristian Hveem, Ida Surakka, Wenying Liang, Haocheng Lu, Minerva T. Garcia-Barrio, Hyunbae Kim, Oren Rom, Brooke N. Wolford, Lars G. Fritsche, Maiken Elvestad Gabrielsen, Jonas B. Nielsen, Wei Zhou, Wanqing Liu, Shweta Ramdas, and Cristen J. Willer
Subjects: medicine.medical_specialty, Multidisciplinary, Physiology, Science, Type 2 diabetes, Diabetology, Genomics, Carbohydrate metabolism, Biology, medicine.disease, Transmembrane protein, Article, Impaired glucose tolerance, Endocrinology, Diabetes mellitus, Internal medicine, Nonalcoholic fatty liver disease, Unfolded protein response, medicine, Molecular physiology, TM6SF2
Abstract: Summary The rs58542926C >T (E167K) variant of the transmembrane 6 superfamily member 2 gene (TM6SF2) is associated with increased risks for nonalcoholic fatty liver disease (NAFLD) and type 2 diabetes (T2D). Nevertheless, the role of the TM6SF2 rs58542926 variant in glucose metabolism is poorly understood. We performed a sex-stratified analysis of the association between the rs58542926C >T variant and T2D in multiple cohorts. The E167K variant was significantly associated with T2D, especially in males. Using an E167K knockin (KI) mouse model, we found that male but not the female KI mice exhibited impaired glucose tolerance. As an ER membrane protein, TM6SF2 was found to interact with inositol-requiring enzyme 1 α (IRE1α), a primary ER stress sensor. The male Tm6sf2 KI mice exhibited impaired IRE1α signaling in the liver. In conclusion, the E167K variant of TM6SF2 is associated with glucose intolerance primarily in males, both in humans and mice., Graphical abstract, Highlights • The TM6SF2 E167K variant is significantly associated with T2D, primarily in males • Male, but not female, Tm6sf2 KI mice exhibited impaired glucose tolerance • IRE1α signaling is attenuated in the liver of male Tm6sf2 KI mice • IDE and LIPIN1 were dysregulated in the liver of male KI mice but not the females, Physiology; Molecular physiology; Diabetology; Genomics
Published: 2021

41. A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease

Author: Steinunn Thordardottir, Kristian Hveem, Per Selnes, Silke Kern, Wei Zhou, Srdjan Djurovic, Iris E. Jansen, Ole A. Andreassen, Petroula Proitsi, Linda M. Pedersen, Tormod Fladby, Tore Wergeland Meisingset, Chandra A. Reynolds, Angela Hodges, Ingmar Skoog, Alexey A. Shadrin, Bendik S. Winsvold, Margda Waern, Geir Bråthen, Danielle Posthuma, Lavinia Athanasiu, Richard Dobson, Adam Auton, Shahram Bahrami, Anna Zettergren, Maiken Elvestad Gabrielsen, Henrik Zetterberg, Eystein Stordal, Geir Selbæk, John-Anker Zwart, Laurent F. Thomas, Amy E Martinsen, Ingun Ulstein, Jonas B. Nielsen, Kari Stefansson, Ole Kristian Drange, Arvid Rongve, Anne Heidi Skogholt, Julia M. Sealock, Sigrid Botne Sando, Palmi V. Jonsson, Jon Snaedal, Kaj Blennow, Ingvild Saltvedt, Lars G. Fritsche, Karl Heilbron, Jeanne E. Savage, Sigurdur H. Magnusson, Ingunn Bosnes, Stephan Ripke, Marianne Bakke Johnsen, Ida K. Karlsson, Lea K. Davis, Latha Velayudhan, Nancy L. Pedersen, Dag Aarsland, Cristen J. Willer, Hreinn Stefansson, Dominic Holland, Sigrid Børte, Douglas P Wightman, Human genetics, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, and Complex Trait Genetics
Subjects: Genetics, Microglia, Polygenic disease, Genome-wide association study, Disease, Biology, medicine.disease, Article, medicine.anatomical_structure, Immune system, SDG 3 - Good Health and Well-being, Polymorphism (computer science), medicine, Dementia, Gene
Abstract: Late-onset Alzheimer’s disease is a prevalent age-related polygenic disease that accounts for 50–70% of dementia cases. Currently, only a fraction of the genetic variants underlying Alzheimer’s disease have been identified. Here we show that increased sample sizes allowed identification of seven previously unidentified genetic loci contributing to Alzheimer’s disease. This study highlights microglia, immune cells and protein catabolism as relevant to late-onset Alzheimer’s disease, while identifying and prioritizing previously unidentified genes of potential interest. We anticipate that these results can be included in larger meta-analyses of Alzheimer’s disease to identify further genetic variants that contribute to Alzheimer’s pathology.
Published: 2021
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42. Variants associated with HHIP expression have sex-differential effects on lung function

Author: Carl A. Melbourne, Caroline Hayward, Stefan Karrasch, Dirk Keidel, Katherine A. Fawcett, Susan M. Ring, Yohan Bossé, Carol A. Wang, Ben Michael Brumpton, Claudia Langenberg, Peter K. Joshi, Ke Hao, Igor Rudan, David J. Porteous, Don D. Sin, Raquel Granell, Blair H. Smith, Jian'an Luan, Kristian Hveem, Sarah E. Harris, Sandosh Padmanabhan, Archie Campbell, Sebastian May-Wilson, Veronique Vitart, Nicola Pirastu, Arnulf Langhammer, Craig E. Pennell, John M. Starr, Stefan Weiss, Karina Patasova, Nicholas J. Wareham, James F. Wilson, Deborah Jarvis, Tim D. Spector, Nick Shrine, David P. Strachan, Martin D. Tobin, Beate Stubbe, David M. Evans, Kirsi H. Pietiläinen, Mangino Massimo, Ian P. Hall, Graham L. Hall, Jaakko Kaprio, Ralf Ewert, Rachel E. Foong, Claudia Flexeder, Louise V. Wain, Ma'en Obeidat, Cristen J. Willer, Leo-Pekka Lyytikäinen, Olli T. Raitakari, John Henderson, Konstantin Strauch, Marta R Moksnes, Cosetta Minelli, Nicole Probst-Hensch, Pirro G. Hysi, Anna L. Guyatt, Henry Völzke, Thomas Meitinger, Peter D. Sly, Ozren Polasek, Anne Richmond, Mika Kähönen, Maarten van den Berge, Medea Imboden, Thibaud Boutin, Lucija Klaric, Laura Portas, Terho Lehtimäki, Ian J. Deary, Taina Rantanen, Catherine John, Teemu Palviainen, Fawcett, Katherine A [0000-0002-6675-2112], Obeidat, Ma'en [0000-0002-5443-2752], Shrine, Nick [0000-0003-3641-4371], Weiss, Stefan [0000-0002-3553-4315], May-Wilson, Sebastian [0000-0003-2668-5717], Boutin, Thibaud S [0000-0003-4754-1675], Portas, Laura [0000-0003-1789-1893], Harris, Sarah E [0000-0002-4941-5106], Lyytikäinen, Leo-Pekka [0000-0002-7200-5455], Palviainen, Teemu [0000-0002-7847-8384], Keidel, Dirk [0000-0003-4706-5728], Minelli, Cosetta [0000-0001-9166-3958], Langenberg, Claudia [0000-0002-5017-7344], Bossé, Yohan [0000-0002-3067-3711], Van den Berge, Maarten [0000-0002-9336-7340], Sin, Don D [0000-0002-0756-6643], Campbell, Archie [0000-0003-0198-5078], Porteous, David [0000-0003-1249-6106], Padmanabhan, Sandosh [0000-0003-3869-5808], Smith, Blair H [0000-0002-5362-9430], Ring, Sue [0000-0003-3103-9330], Rantanen, Taina [0000-0002-1604-1945], Pennell, Craig E [0000-0002-0937-6165], Kaprio, Jaakko [0000-0002-3716-2455], Vitart, Veronique [0000-0002-4991-3797], Hayward, Caroline [0000-0002-9405-9550], Hall, Ian P [0000-0001-9933-3216], Wain, Louise V [0000-0003-4951-1867], Apollo - University of Cambridge Repository, Groningen Research Institute for Asthma and COPD (GRIAC), Technology Centre, University of Helsinki, Institute for Molecular Medicine Finland, Genetic Epidemiology, HUS Abdominal Center, Department of Medicine, Clinicum, CAMM - Research Program for Clinical and Molecular Metabolism, Department of Public Health, Research Programs Unit, Tampere University, Clinical Medicine, Department of Clinical Chemistry, TAYS Heart Centre, and Department of Clinical Physiology and Nuclear Medicine
Subjects: 0301 basic medicine, Spirometry, medicine.medical_specialty, HHIP, Medicine (miscellaneous), Expression, Genome-wide Interaction Study, Hhip, Lung Function, Sex, Single-nucleotide polymorphism, Biology, 3121 Internal medicine, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, 0302 clinical medicine, Genome-wide interaction study, Lung function, Internal medicine, expression, medicine, sex, Allele, Enhancer, Gene, Lung, genome-wide interaction study, medicine.diagnostic_test, 1184 Genetics, developmental biology, physiology, lung function, ALSPAC, Differential effects, 030104 developmental biology, Endocrinology, medicine.anatomical_structure, 030228 respiratory system, 3121 General medicine, internal medicine and other clinical medicine, 3111 Biomedicine
Abstract: Background: Lung function is highly heritable and differs between the sexes throughout life. However, little is known about sex-differential genetic effects on lung function. We aimed to conduct the first genome-wide genotype-by-sex interaction study on lung function to identify genetic effects that differ between males and females. Methods: We tested for interactions between 7,745,864 variants and sex on spirometry-based measures of lung function in UK Biobank (N=303,612), and sought replication in 75,696 independent individuals from the SpiroMeta consortium. Results: Five independent single-nucleotide polymorphisms (SNPs) showed genome-wide significant (P-8) interactions with sex on lung function, and 21 showed suggestive interactions (P-6). The strongest signal, from rs7697189 (chr4:145436894) on forced expiratory volume in 1 second (FEV1) (P=3.15x10-15), was replicated (P=0.016) in SpiroMeta. The C allele increased FEV1 more in males (untransformed FEV1 β=0.028 [SE 0.0022] litres) than females (β=0.009 [SE 0.0014] litres), and this effect was not accounted for by differential effects on height, smoking or pubertal age. rs7697189 resides upstream of the hedgehog-interacting protein (HHIP) gene and was previously associated with lung function and HHIP lung expression. We found HHIP expression was significantly different between the sexes (P=6.90x10-6), but we could not detect sex differential effects of rs7697189 on expression. Conclusions: We identified a novel genotype-by-sex interaction at a putative enhancer region upstream of the HHIP gene. Establishing the mechanism by which HHIP SNPs have different effects on lung function in males and females will be important for our understanding of lung health and diseases in both sexes.
Published: 2021
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43. Genetic insight into sick sinus syndrome

Author: Jon K. Sigurdsson, Gudmundur Thorgeirsson, Ingileif Jonsdottir, Søren Brunak, Mette Nyegaard, Bjarni Torfason, Henrik Ullum, Hildur M Aegisdottir, Gudmundur L. Norddahl, Stefan Jonsson, Hilma Holm, Lilja Stefansdottir, Christian Torp-Pedersen, Ben Michael Brumpton, Asmundur Oddsson, Daniel F. Gudbjartsson, Vinicius Tragante, Kristoffer Sølvsten Burgdorf, Kari Stefansson, Erna V. Ivarsdottir, Stefania Benonisdottir, Kristjan E. Hjorleifsson, Cristen J. Willer, Kristian Hveem, David O. Arnar, Gardar Sveinbjornsson, Sridharan Rajamani, Rosa B. Thorolfsdottir, Karina Banasik, Ole Birger Pedersen, Solveig Gretarsdottir, Atli S Valgardsson, David Westergaard, Erik Sørensen, Gudmar Thorleifsson, Peter Weeke, Unnur Thorsteinsdottir, Olafur B. Davidsson, Gisli H. Halldorsson, Michael L. Frigge, Anna Helgadottir, Wei Zhou, Patrick Sulem, Henning Bundgaard, and Kaspar René Nielsen
Subjects: Pacemaker, Artificial, KERATIN-8 MUTATIONS, Genome-wide association study, 030204 cardiovascular system & hematology, Bioinformatics, Electrocardiography, Sick Sinus Syndrome/genetics, 0302 clinical medicine, Atrial Fibrillation, SEQUENCE VARIANTS, Missense mutation, GWAS, AcademicSubjects/MED00200, Precision Medicine, Sick Sinus Syndrome, MYOSIN HEAVY-CHAIN, 0303 health sciences, Mendelian Randomization Analysis, RARE VARIANTS, Atrial Fibrillation/genetics, NODE DYSFUNCTION, Cardiology and Cardiovascular Medicine, Sick sinus syndrome, GANGLIONATED PLEXUS ABLATION, NAV1.8 Voltage-Gated Sodium Channel, 03 medical and health sciences, Clinical Research, Mendelian randomization, Genetics, medicine, Humans, GENOME-WIDE ASSOCIATION, PULMONARY VEIN ISOLATION, Triglycerides, 030304 developmental biology, INTERMEDIATE-FILAMENTS, KRT8, business.industry, Keratin-8, Odds ratio, medicine.disease, Atrial fibrillation, Human genetics, SSS, Diabetes Mellitus, Type 2, ATRIAL-FIBRILLATION, business, Genome-Wide Association Study
Abstract: Aims The aim of this study was to use human genetics to investigate the pathogenesis of sick sinus syndrome (SSS) and the role of risk factors in its development. Methods and results We performed a genome-wide association study of 6469 SSS cases and 1 000 187 controls from deCODE genetics, the Copenhagen Hospital Biobank, UK Biobank, and the HUNT study. Variants at six loci associated with SSS, a reported missense variant in MYH6, known atrial fibrillation (AF)/electrocardiogram variants at PITX2, ZFHX3, TTN/CCDC141, and SCN10A and a low-frequency (MAF = 1.1–1.8%) missense variant, p.Gly62Cys in KRT8 encoding the intermediate filament protein keratin 8. A full genotypic model best described the p.Gly62Cys association (P = 1.6 × 10−20), with an odds ratio (OR) of 1.44 for heterozygotes and a disproportionally large OR of 13.99 for homozygotes. All the SSS variants increased the risk of pacemaker implantation. Their association with AF varied and p.Gly62Cys was the only variant not associating with any other arrhythmia or cardiovascular disease. We tested 17 exposure phenotypes in polygenic score (PGS) and Mendelian randomization analyses. Only two associated with the risk of SSS in Mendelian randomization, AF, and lower heart rate, suggesting causality. Powerful PGS analyses provided convincing evidence against causal associations for body mass index, cholesterol, triglycerides, and type 2 diabetes (P > 0.05). Conclusion We report the associations of variants at six loci with SSS, including a missense variant in KRT8 that confers high risk in homozygotes and points to a mechanism specific to SSS development. Mendelian randomization supports a causal role for AF in the development of SSS., Graphical Abstract Summary of genetic insight into the pathogenesis of SSS and the role of risk factors in its development. Variants at six loci (named by corresponding gene names) were identified through GWAS and their unique phenotypic associations provide insight into distinct pathways underlying SSS. Investigation of the role of risk factors in SSS development supported a causal role for AF and heart rate and provided convincing evidence against causality for BMI, cholesterol (HDL and non-HDL), triglycerides and T2D. Mendelian randomization did not support causality for CAD, ischaemic stroke, heart failure, PR interval or QRS duration (not shown in figure). Red and blue arrows represent positive and negative associations, respectively.
Published: 2021
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44. Genetic predisposition to coronary artery disease in type 2 diabetes mellitus

Author: Natalie R. van Zuydam, Claes Ladenvall, Benjamin F. Voight, Rona J. Strawbridge, Juan Fernandez-Tajes, N. William Rayner, Neil R. Robertson, Anubha Mahajan, Efthymia Vlachopoulou, Anuj Goel, Marcus E. Kleber, Christopher P. Nelson, Lydia Coulter Kwee, Tõnu Esko, Evelin Mihailov, Reedik Mägi, Lili Milani, Krista Fischer, Stavroula Kanoni, Jitender Kumar, Ci Song, Jaana A. Hartiala, Nancy L. Pedersen, Markus Perola, Christian Gieger, Annette Peters, Liming Qu, Sara M. Willems, Alex S.F. Doney, Andrew D. Morris, Yan Zheng, Giorgio Sesti, Frank B. Hu, Lu Qi, Markku Laakso, Unnur Thorsteinsdottir, Harald Grallert, Cornelia van Duijn, Muredach P. Reilly, Erik Ingelsson, Panos Deloukas, Sek Kathiresan, Andres Metspalu, Svati H. Shah, Juha Sinisalo, Veikko Salomaa, Anders Hamsten, Nilesh J. Samani, Winfried März, Stanley L. Hazen, Hugh Watkins, Danish Saleheen, Andrew P. Morris, Helen M. Colhoun, Leif Groop, Mark I. McCarthy, Colin N.A. Palmer, John Danesh, Jeanette Erdmann, Dongfeng Gu, Jaspal S. Kooner, Robert Roberts, Heribert Schunkert, Themistocles L. Assimes, Stefan Blankenberg, Bernhard O. Boehm, John C. Chambers, Robert Clarke, Rory Collins, George Dedoussis, Paul W. Franks, G. Kees Hovingh, Bong-Jo Kim, Terho Lehtimäki, Ruth McPherson, Markku S Nieminen, Christopher O’Donnell, Samuli Ripatti, Manjinder S Sandhu, Stefan Schreiber, Agneta Siegbahn, Cristen J. Willer, Pierre A. Zalloua, Michael Mark, Timo Kanninen, Barbara Thorand, Giuseppe Remuzzi, David Dunger, Angela Shore, Ulf Smith, Per-Henrik Groop, Seppo Ylä-Herttuala, Claudio Cobelli, Riccardo Bellazzi, Ele Ferrannini, Carlo Patrono, Pirjo Nuutila, Paul McKeague, Birgit Steckel-Hamann, Li-ming Gan, Everson Nogoceke, Piero Tortoli, Bernd Jablonka, Mary-Julia Brosnan, Tampere University, Department of Clinical Chemistry, Clinical Medicine, Transplantation Laboratory, University of Helsinki, Research Programs Unit, CAMM - Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, Department of Medicine, Doctoral Programme in Clinical Research, Clinicum, HUS Heart and Lung Center, Centre of Excellence in Complex Disease Genetics, HUS Abdominal Center, Institute for Molecular Medicine Finland, Department of Public Health, Samuli Olli Ripatti / Principal Investigator, Complex Disease Genetics, University Management, Biostatistics Helsinki, and Epidemiology
Subjects: 0301 basic medicine, Heart disease, endocrine system diseases, LOCI, Genome-wide association study, CAD, 030204 cardiovascular system & hematology, GLUCOSE, Coronary artery disease, 0302 clinical medicine, risk factors, blood pressure, coronary artery disease, diabetes mellitus, genome-wide association study, RISK, 1184 Genetics, developmental biology, physiology, COMMON VARIANTS, General Medicine, INSIGHTS, CARDIOVASCULAR-DISEASE, Cardiology, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Medical genetics, Medical Genetics, medicine.medical_specialty, endocrine system, Blood Pressure, Coronary Artery Disease, Diabetes Mellitus, Genome-wide Association Study, Risk Factors, HEART-DISEASE, 3121 Internal medicine, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Meta-Analysis as Topic, Internal medicine, Genetic predisposition, medicine, GLYCEMIC TRAITS, Humans, Genetic Predisposition to Disease, cardiovascular diseases, GENOME-WIDE ASSOCIATION, Medicinsk genetik, Polymorphism, Genetic, business.industry, Type 2 Diabetes Mellitus, PATHWAYS, nutritional and metabolic diseases, Original Articles, medicine.disease, Genetic architecture, 030104 developmental biology, Diabetes Mellitus, Type 2, Case-Control Studies, 3121 General medicine, internal medicine and other clinical medicine, 3111 Biomedicine, business, human activities
Abstract: Supplemental Digital Content is available in the text., Background: Coronary artery disease (CAD) is accelerated in subjects with type 2 diabetes mellitus (T2D). Methods: To test whether this reflects differential genetic influences on CAD risk in subjects with T2D, we performed a systematic assessment of genetic overlap between CAD and T2D in 66 643 subjects (27 708 with CAD and 24 259 with T2D). Variants showing apparent association with CAD in stratified analyses or evidence of interaction were evaluated in a further 117 787 subjects (16 694 with CAD and 11 537 with T2D). Results: None of the previously characterized CAD loci was found to have specific effects on CAD in T2D individuals, and a genome-wide interaction analysis found no new variants for CAD that could be considered T2D specific. When we considered the overall genetic correlations between CAD and its risk factors, we found no substantial differences in these relationships by T2D background. Conclusions: This study found no evidence that the genetic architecture of CAD differs in those with T2D compared with those without T2D.
Published: 2020
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45. Mitochondrial genome-wide association study of migraine – the HUNT Study

Author: Espen Saxhaug Kristoffersen, Jonas B. Nielsen, Ida Surakka, Dale R. Nyholt, Sigrid Børte, John-Anker Zwart, Maiken Elvestad Gabrielsen, Wei Zhou, Knut Hagen, Bendik S. Winsvold, Brooke N. Wolford, Lars G. Fritsche, Anne Heidi Skogholt, Ben Michael Brumpton, Laurent F. Thomas, Magnus Dehli Vigeland, Cristen J. Willer, and Daniel I. Chasman
Subjects: Mitochondrial DNA, Genotype, Migraine Disorders, Mitochondrion, DNA, Mitochondrial, Pathogenesis, 03 medical and health sciences, 0302 clinical medicine, Hunt study, medicine, Humans, Migraine, 030304 developmental biology, Genetics, 0303 health sciences, Norway, business.industry, Genetic Variation, HUNT, Original Articles, General Medicine, medicine.disease, mitochondria, Neurology (clinical), business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Background Variation in mitochondrial DNA (mtDNA) has been indicated in migraine pathogenesis, but genetic studies to date have focused on candidate variants, with sparse findings. We aimed to perform the first mitochondrial genome-wide association study of migraine, examining both single variants and mitochondrial haplogroups. Methods In total, 71,860 participants from the population-based Nord-Trøndelag Health Study were genotyped. We excluded samples not passing quality control for nuclear genotypes, in addition to samples with low call rate and closely maternally related. We analysed 775 mitochondrial DNA variants in 4021 migraine cases and 14,288 headache-free controls, using logistic regression. In addition, we analysed 3831 cases and 13,584 controls who could be reliably assigned to a mitochondrial haplogroup. Lastly, we attempted to replicate previously reported mitochondrial DNA candidate variants. Results Neither of the mitochondrial variants or haplogroups were associated with migraine. In addition, none of the previously reported mtDNA candidate variants replicated in our data. Conclusions Our findings do not support a major role of mitochondrial genetic variation in migraine pathophysiology, but a larger sample is needed to detect rare variants and future studies should also examine heteroplasmic variation, epigenetic changes and copy-number variation.
Published: 2020

46. Mendelian randomization study of maternal influences on birthweight and future cardiometabolic risk in the HUNT cohort

Author: Nicole M. Warrington, Geng Wang, Cristen J. Willer, Michael C. Neale, George Davey Smith, Robert M. Kirkpatrick, Kåre I. Birkeland, Debbie A Lawlor, David M. Evans, Ben Michael Brumpton, Rachel M. Freathy, Bjørn Olav Åsvold, and Gunn-Helen Moen
Subjects: Adult, Male, 0301 basic medicine, Epidemiology, Offspring, Birth weight, Science, General Physics and Astronomy, Disease, Polymorphism, Single Nucleotide, Article, General Biochemistry, Genetics and Molecular Biology, Cohort Studies, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Genetics research, Mendelian randomization, Birth Weight, Humans, Medicine, 030212 general & internal medicine, lcsh:Science, Paternal Inheritance, Genetic association study, Multidisciplinary, Norway, business.industry, fungi, Infant, Newborn, Mendelian Randomization Analysis, General Chemistry, 030104 developmental biology, Risk factors, Cardiovascular Diseases, Cohort, Female, lcsh:Q, Maternal Inheritance, business, Cohort study, Demography
Abstract: There is a robust observational relationship between lower birthweight and higher risk of cardiometabolic disease in later life. The Developmental Origins of Health and Disease (DOHaD) hypothesis posits that adverse environmental factors in utero increase future risk of cardiometabolic disease. Here, we explore if a genetic risk score (GRS) of maternal SNPs associated with offspring birthweight is also associated with offspring cardiometabolic risk factors, after controlling for offspring GRS, in up to 26,057 mother–offspring pairs (and 19,792 father–offspring pairs) from the Nord-Trøndelag Health (HUNT) Study. We find little evidence for a maternal (or paternal) genetic effect of birthweight associated variants on offspring cardiometabolic risk factors after adjusting for offspring GRS. In contrast, offspring GRS is strongly related to many cardiometabolic risk factors, even after conditioning on maternal GRS. Our results suggest that the maternal intrauterine environment, as proxied by maternal SNPs that influence offspring birthweight, is unlikely to be a major determinant of adverse cardiometabolic outcomes in population based samples of individuals., Observationally, lower birthweight is a risk factor for cardiometabolic disease. Using Mendelian Randomization, the authors investigate whether maternal genetic factors that lower offspring birthweight also increase offspring cardiometabolic risk and show that the observational correlation is unlikely to be due to the intrauterine environment.
Published: 2020
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47. Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals.

Author: Zari Dastani, Marie-France Hivert, Nicholas Timpson, John R B Perry, Xin Yuan, Robert A Scott, Peter Henneman, Iris M Heid, Jorge R Kizer, Leo-Pekka Lyytikäinen, Christian Fuchsberger, Toshiko Tanaka, Andrew P Morris, Kerrin Small, Aaron Isaacs, Marian Beekman, Stefan Coassin, Kurt Lohman, Lu Qi, Stavroula Kanoni, James S Pankow, Hae-Won Uh, Ying Wu, Aurelian Bidulescu, Laura J Rasmussen-Torvik, Celia M T Greenwood, Martin Ladouceur, Jonna Grimsby, Alisa K Manning, Ching-Ti Liu, Jaspal Kooner, Vincent E Mooser, Peter Vollenweider, Karen A Kapur, John Chambers, Nicholas J Wareham, Claudia Langenberg, Rune Frants, Ko Willems-Vandijk, Ben A Oostra, Sara M Willems, Claudia Lamina, Thomas W Winkler, Bruce M Psaty, Russell P Tracy, Jennifer Brody, Ida Chen, Jorma Viikari, Mika Kähönen, Peter P Pramstaller, David M Evans, Beate St Pourcain, Naveed Sattar, Andrew R Wood, Stefania Bandinelli, Olga D Carlson, Josephine M Egan, Stefan Böhringer, Diana van Heemst, Lyudmyla Kedenko, Kati Kristiansson, Marja-Liisa Nuotio, Britt-Marie Loo, Tamara Harris, Melissa Garcia, Alka Kanaya, Margot Haun, Norman Klopp, H-Erich Wichmann, Panos Deloukas, Efi Katsareli, David J Couper, Bruce B Duncan, Margreet Kloppenburg, Linda S Adair, Judith B Borja, DIAGRAM+ Consortium, MAGIC Consortium, GLGC Investigators, MuTHER Consortium, James G Wilson, Solomon Musani, Xiuqing Guo, Toby Johnson, Robert Semple, Tanya M Teslovich, Matthew A Allison, Susan Redline, Sarah G Buxbaum, Karen L Mohlke, Ingrid Meulenbelt, Christie M Ballantyne, George V Dedoussis, Frank B Hu, Yongmei Liu, Bernhard Paulweber, Timothy D Spector, P Eline Slagboom, Luigi Ferrucci, Antti Jula, Markus Perola, Olli Raitakari, Jose C Florez, Veikko Salomaa, Johan G Eriksson, Timothy M Frayling, Andrew A Hicks, Terho Lehtimäki, George Davey Smith, David S Siscovick, Florian Kronenberg, Cornelia van Duijn, Ruth J F Loos, Dawn M Waterworth, James B Meigs, Josee Dupuis, J Brent Richards, Benjamin F Voight, Laura J Scott, Valgerdur Steinthorsdottir, Christian Dina, Ryan P Welch, Eleftheria Zeggini, Cornelia Huth, Yurii S Aulchenko, Gudmar Thorleifsson, Laura J McCulloch, Teresa Ferreira, Harald Grallert, Najaf Amin, Guanming Wu, Cristen J Willer, Soumya Raychaudhuri, Steve A McCarroll, Oliver M Hofmann, Ayellet V Segrè, Mandy van Hoek, Pau Navarro, Kristin Ardlie, Beverley Balkau, Rafn Benediktsson, Amanda J Bennett, Roza Blagieva, Eric Boerwinkle, Lori L Bonnycastle, Kristina Bengtsson Boström, Bert Bravenboer, Suzannah Bumpstead, Noël P Burtt, Guillaume Charpentier, Peter S Chines, Marilyn Cornelis, Gabe Crawford, Alex S F Doney, Katherine S Elliott, Amanda L Elliott, Michael R Erdos, Caroline S Fox, Christopher S Franklin, Martha Ganser, Christian Gieger, Niels Grarup, Todd Green, Simon Griffin, Christopher J Groves, Candace Guiducci, Samy Hadjadj, Neelam Hassanali, Christian Herder, Bo Isomaa, Anne U Jackson, Paul R V Johnson, Torben Jørgensen, Wen H L Kao, Augustine Kong, Peter Kraft, Johanna Kuusisto, Torsten Lauritzen, Man Li, Aloysius Lieverse, Cecilia M Lindgren, Valeriya Lyssenko, Michel Marre, Thomas Meitinger, Kristian Midthjell, Mario A Morken, Narisu Narisu, Peter Nilsson, Katharine R Owen, Felicity Payne, Ann-Kristin Petersen, Carl Platou, Christine Proença, Inga Prokopenko, Wolfgang Rathmann, N William Rayner, Neil R Robertson, Ghislain Rocheleau, Michael Roden, Michael J Sampson, Richa Saxena, Beverley M Shields, Peter Shrader, Gunnar Sigurdsson, Thomas Sparsø, Klaus Strassburger, Heather M Stringham, Qi Sun, Amy J Swift, Barbara Thorand, Jean Tichet, Tiinamaija Tuomi, Rob M van Dam, Timon W van Haeften, Thijs van Herpt, Jana V van Vliet-Ostaptchouk, G Bragi Walters, Michael N Weedon, Cisca Wijmenga, Jacqueline Witteman, Richard N Bergman, Stephane Cauchi, Francis S Collins, Anna L Gloyn, Ulf Gyllensten, Torben Hansen, Winston A Hide, Graham A Hitman, Albert Hofman, David J Hunter, Kristian Hveem, Markku Laakso, Andrew D Morris, Colin N A Palmer, Igor Rudan, Eric Sijbrands, Lincoln D Stein, Jaakko Tuomilehto, Andre Uitterlinden, Mark Walker, Richard M Watanabe, Goncalo R Abecasis, Bernhard O Boehm, Harry Campbell, Mark J Daly, Andrew T Hattersley, Oluf Pedersen, Inês Barroso, Leif Groop, Rob Sladek, Unnur Thorsteinsdottir, James F Wilson, Thomas Illig, Philippe Froguel, Cornelia M van Duijn, Kari Stefansson, David Altshuler, Michael Boehnke, Mark I McCarthy, Nicole Soranzo, Eleanor Wheeler, Nicole L Glazer, Nabila Bouatia-Naji, Reedik Mägi, Joshua Randall, Paul Elliott, Denis Rybin, Abbas Dehghan, Jouke Jan Hottenga, Kijoung Song, Anuj Goel, Taina Lajunen, Alex Doney, Christine Cavalcanti-Proença, Meena Kumari, Nicholas J Timpson, Carina Zabena, Erik Ingelsson, Ping An, Jeffrey O'Connell, Jian'an Luan, Amanda Elliott, Steven A McCarroll, Rosa Maria Roccasecca, François Pattou, Praveen Sethupathy, Yavuz Ariyurek, Philip Barter, John P Beilby, Yoav Ben-Shlomo, Sven Bergmann, Murielle Bochud, Amélie Bonnefond, Knut Borch-Johnsen, Yvonne Böttcher, Eric Brunner, Suzannah J Bumpstead, Yii-Der Ida Chen, Peter Chines, Robert Clarke, Lachlan J M Coin, Matthew N Cooper, Laura Crisponi, Ian N M Day, Eco J C de Geus, Jerome Delplanque, Annette C Fedson, Antje Fischer-Rosinsky, Nita G Forouhi, Maria Grazia Franzosi, Pilar Galan, Mark O Goodarzi, Jürgen Graessler, Scott Grundy, Rhian Gwilliam, Göran Hallmans, Naomi Hammond, Xijing Han, Anna-Liisa Hartikainen, Caroline Hayward, Simon C Heath, Serge Hercberg, David R Hillman, Aroon D Hingorani, Jennie Hui, Joe Hung, Marika Kaakinen, Jaakko Kaprio, Y Antero Kesaniemi, Mika Kivimaki, Beatrice Knight, Seppo Koskinen, Peter Kovacs, Kirsten Ohm Kyvik, G Mark Lathrop, Debbie A Lawlor, Olivier Le Bacquer, Cécile Lecoeur, Yun Li, Robert Mahley, Massimo Mangino, María Teresa Martínez-Larrad, Jarred B McAteer, Ruth McPherson, Christa Meisinger, David Melzer, David Meyre, Braxton D Mitchell, Sutapa Mukherjee, Silvia Naitza, Matthew J Neville, Marco Orrù, Ruth Pakyz, Giuseppe Paolisso, Cristian Pattaro, Daniel Pearson, John F Peden, Nancy L Pedersen, Andreas F H Pfeiffer, Irene Pichler, Ozren Polasek, Danielle Posthuma, Simon C Potter, Anneli Pouta, Michael A Province, Nigel W Rayner, Kenneth Rice, Samuli Ripatti, Fernando Rivadeneira, Olov Rolandsson, Annelli Sandbaek, Manjinder Sandhu, Serena Sanna, Avan Aihie Sayer, Paul Scheet, Udo Seedorf, Stephen J Sharp, Beverley Shields, Gunnar Sigurðsson, Eric J G Sijbrands, Angela Silveira, Laila Simpson, Andrew Singleton, Nicholas L Smith, Ulla Sovio, Amy Swift, Holly Syddall, Ann-Christine Syvänen, Anke Tönjes, André G Uitterlinden, Ko Willems van Dijk, Dhiraj Varma, Sophie Visvikis-Siest, Veronique Vitart, Nicole Vogelzangs, Gérard Waeber, Peter J Wagner, Andrew Walley, Kim L Ward, Hugh Watkins, Sarah H Wild, Gonneke Willemsen, Jaqueline C M Witteman, John W G Yarnell, Diana Zelenika, Björn Zethelius, Guangju Zhai, Jing Hua Zhao, M Carola Zillikens, DIAGRAM Consortium, GIANT Consortium, Global B Pgen Consortium, Ingrid B Borecki, Pierre Meneton, Patrik K E Magnusson, David M Nathan, Gordon H Williams, Kaisa Silander, Stefan R Bornstein, Peter Schwarz, Joachim Spranger, Fredrik Karpe, Alan R Shuldiner, Cyrus Cooper, Manuel Serrano-Ríos, Lars Lind, Lyle J Palmer, Paul W Franks, Shah Ebrahim, Michael Marmot, W H Linda Kao, Peter Paul Pramstaller, Alan F Wright, Michael Stumvoll, Anders Hamsten, Procardis Consortium, Thomas A Buchanan, Timo T Valle, Jerome I Rotter, Brenda W J H Penninx, Dorret I Boomsma, Antonio Cao, Angelo Scuteri, David Schlessinger, Manuela Uda, Aimo Ruokonen, Marjo-Riitta Jarvelin, Leena Peltonen, Vincent Mooser, Robert Sladek, MAGIC investigators, GLGC Consortium, Kiran Musunuru, Albert V Smith, Andrew C Edmondson, Ioannis M Stylianou, Masahiro Koseki, James P Pirruccello, Daniel I Chasman, Christopher T Johansen, Sigrid W Fouchier, Gina M Peloso, Maja Barbalic, Sally L Ricketts, Joshua C Bis, Mary F Feitosa, Marju Orho-Melander, Olle Melander, Xiaohui Li, Mingyao Li, Yoon Shin Cho, Min Jin Go, Young Jin Kim, Jong-Young Lee, Taesung Park, Kyunga Kim, Xueling Sim, Rick Twee-Hee Ong, Damien C Croteau-Chonka, Leslie A Lange, Joshua D Smith, Andreas Ziegler, Weihua Zhang, Robert Y L Zee, John B Whitfield, John R Thompson, Ida Surakka, Tim D Spector, Johannes H Smit, Juha Sinisalo, James Scott, Juha Saharinen, Chiara Sabatti, Lynda M Rose, Robert Roberts, Mark Rieder, Alex N Parker, Guillaume Pare, Christopher J O'Donnell, Markku S Nieminen, Deborah A Nickerson, Grant W Montgomery, Wendy McArdle, David Masson, Nicholas G Martin, Fabio Marroni, Gavin Lucas, Robert Luben, Marja-Liisa Lokki, Guillaume Lettre, Lenore J Launer, Edward G Lakatta, Reijo Laaksonen, Kirsten O Kyvik, Inke R König, Kay-Tee Khaw, Lee M Kaplan, Åsa Johansson, A Cecile J W Janssens, Wilmar Igl, G Kees Hovingh, Christian Hengstenberg, Aki S Havulinna, Nicholas D Hastie, Tamara B Harris, Talin Haritunians, Alistair S Hall, Leif C Groop, Elena Gonzalez, Nelson B Freimer, Jeanette Erdmann, Kenechi G Ejebe, Angela Döring, Anna F Dominiczak, Serkalem Demissie, Panagiotis Deloukas, Ulf de Faire, Gabriel Crawford, Yii-der I Chen, Mark J Caulfield, S Matthijs Boekholdt, Themistocles L Assimes, Thomas Quertermous, Mark Seielstad, Tien Y Wong, E-Shyong Tai, Alan B Feranil, Christopher W Kuzawa, Herman A Taylor, Stacey B Gabriel, Hilma Holm, Vilmundur Gudnason, Ronald M Krauss, Jose M Ordovas, Patricia B Munroe, Jaspal S Kooner, Alan R Tall, Robert A Hegele, John J P Kastelein, Eric E Schadt, David P Strachan, Muredach P Reilly, Nilesh J Samani, Heribert Schunkert, L Adrienne Cupples, Manjinder S Sandhu, Paul M Ridker, Daniel J Rader, and Sekar Kathiresan
Subjects: Genetics, QH426-470
Abstract: Circulating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes mellitus (T2D) and other metabolic traits. We conducted a meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease. We identified 8 novel loci associated with adiponectin levels and confirmed 2 previously reported loci (P = 4.5×10(-8)-1.2×10(-43)). Using a novel method to combine data across ethnicities (N = 4,232 African Americans, N = 1,776 Asians, and N = 29,347 Europeans), we identified two additional novel loci. Expression analyses of 436 human adipocyte samples revealed that mRNA levels of 18 genes at candidate regions were associated with adiponectin concentrations after accounting for multiple testing (p
Published: 2012
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48. A genome-wide association search for type 2 diabetes genes in African Americans.

Author: Nicholette D Palmer, Caitrin W McDonough, Pamela J Hicks, Bong H Roh, Maria R Wing, S Sandy An, Jessica M Hester, Jessica N Cooke, Meredith A Bostrom, Megan E Rudock, Matthew E Talbert, Joshua P Lewis, DIAGRAM Consortium, MAGIC Investigators, Assiamira Ferrara, Lingyi Lu, Julie T Ziegler, Michele M Sale, Jasmin Divers, Daniel Shriner, Adebowale Adeyemo, Charles N Rotimi, Maggie C Y Ng, Carl D Langefeld, Barry I Freedman, Donald W Bowden, Benjamin F Voight, Laura J Scott, Valgerdur Steinthorsdottir, Andrew P Morris, Christian Dina, Ryan P Welch, Eleftheria Zeggini, Cornelia Huth, Yurii S Aulchenko, Gudmar Thorleifsson, Laura J McCulloch, Teresa Ferreira, Harald Grallert, Najaf Amin, Guanming Wu, Cristen J Willer, Soumya Raychaudhuri, Steve A McCarroll, Claudia Langenberg, Oliver M Hofmann, Josée Dupuis, Lu Qi, Ayellet V Segrè, Mandy van Hoek, Pau Navarro, Kristin Ardlie, Beverley Balkau, Rafn Benediktsson, Amanda J Bennett, Roza Blagieva, Eric Boerwinkle, Lori L Bonnycastle, Kristina Bengtsson Boström, Bert Bravenboer, Suzannah Bumpstead, Noël P Burtt, Guillaume Charpentier, Peter S Chines, Marilyn Cornelis, David J Couper, Gabe Crawford, Alex S F Doney, Katherine S Elliott, Amanda L Elliott, Michael R Erdos, Caroline S Fox, Christopher S Franklin, Martha Ganser, Christian Gieger, Niels Grarup, Todd Green, Simon Griffin, Christopher J Groves, Candace Guiducci, Samy Hadjadj, Neelam Hassanali, Christian Herder, Bo Isomaa, Anne U Jackson, Paul R V Johnson, Torben Jørgensen, Wen H L Kao, Norman Klopp, Augustine Kong, Peter Kraft, Johanna Kuusisto, Torsten Lauritzen, Man Li, Aloysius Lieverse, Cecilia M Lindgren, Valeriya Lyssenko, Michel Marre, Thomas Meitinger, Kristian Midthjell, Mario A Morken, Narisu Narisu, Peter Nilsson, Katharine R Owen, Felicity Payne, John R B Perry, Ann-Kristin Petersen, Carl Platou, Christine Proença, Inga Prokopenko, Wolfgang Rathmann, N William Rayner, Neil R Robertson, Ghislain Rocheleau, Michael Roden, Michael J Sampson, Richa Saxena, Beverley M Shields, Peter Shrader, Gunnar Sigurdsson, Thomas Sparsø, Klaus Strassburger, Heather M Stringham, Qi Sun, Amy J Swift, Barbara Thorand, Jean Tichet, Tiinamaija Tuomi, Rob M van Dam, Timon W van Haeften, Thijs van Herpt, Jana V van Vliet-Ostaptchouk, G Bragi Walters, Michael N Weedon, Cisca Wijmenga, Jacqueline Witteman, Richard N Bergman, Stephane Cauchi, Francis S Collins, Anna L Gloyn, Ulf Gyllensten, Torben Hansen, Winston A Hide, Graham A Hitman, Albert Hofman, David J Hunter, Kristian Hveem, Markku Laakso, Karen L Mohlke, Andrew D Morris, Colin N A Palmer, Peter P Pramstaller, Igor Rudan, Eric Sijbrands, Lincoln D Stein, Jaakko Tuomilehto, Andre Uitterlinden, Mark Walker, Nicholas J Wareham, Richard M Watanabe, Goncalo R Abecasis, Bernhard O Boehm, Harry Campbell, Mark J Daly, Andrew T Hattersley, Frank B Hu, James B Meigs, James S Pankow, Oluf Pedersen, H-Erich Wichmann, Inês Barroso, Jose C Florez, Timothy M Frayling, Leif Groop, Rob Sladek, Unnur Thorsteinsdottir, James F Wilson, Thomas Illig, Philippe Froguel, Cornelia M van Duijn, Kari Stefansson, David Altshuler, Michael Boehnke, Mark I McCarthy, Nicole Soranzo, Eleanor Wheeler, Nicole L Glazer, Nabila Bouatia-Naji, Reedik Mägi, Joshua Randall, Toby Johnson, Paul Elliott, Denis Rybin, Peter Henneman, Abbas Dehghan, Jouke Jan Hottenga, Kijoung Song, Anuj Goel, Josephine M Egan, Taina Lajunen, Alex Doney, Stavroula Kanoni, Christine Cavalcanti-Proença, Meena Kumari, Nicholas J Timpson, Carina Zabena, Erik Ingelsson, Ping An, Jeffrey O'Connell, Jian'an Luan, Amanda Elliott, Steven A McCarroll, Rosa Maria Roccasecca, François Pattou, Praveen Sethupathy, Yavuz Ariyurek, Philip Barter, John P Beilby, Yoav Ben-Shlomo, Sven Bergmann, Murielle Bochud, Amélie Bonnefond, Knut Borch-Johnsen, Yvonne Böttcher, Eric Brunner, Suzannah J Bumpstead, Yii-Der Ida Chen, Peter Chines, Robert Clarke, Lachlan J M Coin, Matthew N Cooper, Laura Crisponi, Ian N M Day, Eco J C de Geus, Jerome Delplanque, Annette C Fedson, Antje Fischer-Rosinsky, Nita G Forouhi, Rune Frants, Maria Grazia Franzosi, Pilar Galan, Mark O Goodarzi, Jürgen Graessler, Scott Grundy, Rhian Gwilliam, Göran Hallmans, Naomi Hammond, Xijing Han, Anna-Liisa Hartikainen, Caroline Hayward, Simon C Heath, Serge Hercberg, Andrew A Hicks, David R Hillman, Aroon D Hingorani, Jennie Hui, Joe Hung, Antti Jula, Marika Kaakinen, Jaakko Kaprio, Y Antero Kesaniemi, Mika Kivimaki, Beatrice Knight, Seppo Koskinen, Peter Kovacs, Kirsten Ohm Kyvik, G Mark Lathrop, Debbie A Lawlor, Olivier Le Bacquer, Cécile Lecoeur, Yun Li, Robert Mahley, Massimo Mangino, Alisa K Manning, María Teresa Martínez-Larrad, Jarred B McAteer, Ruth McPherson, Christa Meisinger, David Melzer, David Meyre, Braxton D Mitchell, Sutapa Mukherjee, Silvia Naitza, Matthew J Neville, Ben A Oostra, Marco Orrù, Ruth Pakyz, Giuseppe Paolisso, Cristian Pattaro, Daniel Pearson, John F Peden, Nancy L Pedersen, Markus Perola, Andreas F H Pfeiffer, Irene Pichler, Ozren Polasek, Danielle Posthuma, Simon C Potter, Anneli Pouta, Michael A Province, Bruce M Psaty, Nigel W Rayner, Kenneth Rice, Samuli Ripatti, Fernando Rivadeneira, Olov Rolandsson, Annelli Sandbaek, Manjinder Sandhu, Serena Sanna, Avan Aihie Sayer, Paul Scheet, Udo Seedorf, Stephen J Sharp, Beverley Shields, Eric J G Sijbrands, Angela Silveira, Laila Simpson, Andrew Singleton, Nicholas L Smith, Ulla Sovio, Amy Swift, Holly Syddall, Ann-Christine Syvänen, Toshiko Tanaka, Anke Tönjes, André G Uitterlinden, Ko Willems van Dijk, Dhiraj Varma, Sophie Visvikis-Siest, Veronique Vitart, Nicole Vogelzangs, Gérard Waeber, Peter J Wagner, Andrew Walley, Kim L Ward, Hugh Watkins, Sarah H Wild, Gonneke Willemsen, Jaqueline C M Witteman, John W G Yarnell, Diana Zelenika, Björn Zethelius, Guangju Zhai, Jing Hua Zhao, M Carola Zillikens, Ingrid B Borecki, Ruth J F Loos, Pierre Meneton, Patrik K E Magnusson, David M Nathan, Gordon H Williams, Kaisa Silander, Veikko Salomaa, George Davey Smith, Stefan R Bornstein, Peter Schwarz, Joachim Spranger, Fredrik Karpe, Alan R Shuldiner, Cyrus Cooper, George V Dedoussis, Manuel Serrano-Ríos, Lars Lind, Lyle J Palmer, Paul W Franks, Shah Ebrahim, Michael Marmot, W H Linda Kao, Peter Paul Pramstaller, Alan F Wright, Michael Stumvoll, Anders Hamsten, Thomas A Buchanan, Timo T Valle, Jerome I Rotter, David S Siscovick, Brenda W J H Penninx, Dorret I Boomsma, Panos Deloukas, Timothy D Spector, Luigi Ferrucci, Antonio Cao, Angelo Scuteri, David Schlessinger, Manuela Uda, Aimo Ruokonen, Marjo-Riitta Jarvelin, Dawn M Waterworth, Peter Vollenweider, Leena Peltonen, Vincent Mooser, and Robert Sladek
Subjects: Medicine, Science
Abstract: African Americans are disproportionately affected by type 2 diabetes (T2DM) yet few studies have examined T2DM using genome-wide association approaches in this ethnicity. The aim of this study was to identify genes associated with T2DM in the African American population. We performed a Genome Wide Association Study (GWAS) using the Affymetrix 6.0 array in 965 African-American cases with T2DM and end-stage renal disease (T2DM-ESRD) and 1029 population-based controls. The most significant SNPs (n = 550 independent loci) were genotyped in a replication cohort and 122 SNPs (n = 98 independent loci) were further tested through genotyping three additional validation cohorts followed by meta-analysis in all five cohorts totaling 3,132 cases and 3,317 controls. Twelve SNPs had evidence of association in the GWAS (P
Published: 2012
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49. The Emerging Landscape of Health Research Based on Biobanks Linked to Electronic Health Records: Existing Resources, Statistical Challenges and Potential Opportunities

Author: Anita Pandit, Cristen J. Willer, Bhramar Mukherjee, Lauren J. Beesley, Lynda D. Lisabeth, Lars G. Fritsche, Maxwell Salvatore, Chad M. Brummett, and Arvind Rao
Subjects: Statistics and Probability, Selection bias, Michigan, Epidemiology, Computer science, media_common.quotation_subject, Genomics, Health records, 01 natural sciences, Data science, Biobank, Article, 010104 statistics & probability, 03 medical and health sciences, Identification (information), 0302 clinical medicine, Resource (project management), Research Design, Informatics, Research based, Electronic Health Records, 030212 general & internal medicine, 0101 mathematics, media_common, Biological Specimen Banks
Abstract: Biobanks linked to electronic health records provide rich resources for health-related research. With improvements in administrative and informatics infrastructure, the availability and utility of data from biobanks have dramatically increased. In this paper, we first aim to characterize the current landscape of available biobanks and to describe specific biobanks, including their place of origin, size, and data types. The development and accessibility of large-scale biorepositories provide the opportunity to accelerate agnostic searches, expedite discoveries, and conduct hypothesis-generating studies of disease-treatment, disease-exposure, and disease-gene associations. Rather than designing and implementing a single study focused on a few targeted hypotheses, researchers can potentially use biobanks’ existing resources to answer an expanded selection of exploratory questions as quickly as they can analyze them. However, there are many obvious and subtle challenges with design and analysis of biobank-based studies. Our second aim is to discuss statistical issues related to biobank research such as study design, sampling strategy, phenotype identification, and missing data. We focus our discussion on biobanks that are linked to electronic health records. Some of the analytic issues are illustrated using data from the Michigan Genomics Initiative and UK Biobank, two biobanks with two different recruitment mechanisms. We summarize the current body of literature for addressing some of these challenges and discuss some standing open problems. This work complements and extends recent reviews about biobank-based research and serves as a resource catalog with analytical and practical guidance for statisticians, epidemiologists, and other medical researchers pursuing research using biobanks.
Published: 2019

50. Deep-coverage whole genome sequences and blood lipids among 16,324 individuals

Author: Jeffrey R. O'Connell, James A. Perry, Mark Chaffin, Cotton Seed, Maris Alver, L. Adrienne Cupples, May E. Montasser, Jesse M. Engreitz, Seyedeh M. Zekavat, Stephen S. Rich, W. Craig Johnson, Adolfo Correa, Sekar Kathiresan, Benjamin M. Neale, Andrea Ganna, James G. Wilson, Ramachandran S. Vasan, Braxton D. Mitchell, Wei Zhao, Gina M. Peloso, Amit Khera, Gonçalo R. Abecasis, Jason Ernst, Cristen J. Willer, Eric S. Lander, Ida Surakka, Veikko Salomaa, Pradeep Natarajan, Ani Manichaikul, Jonathan M. Bloom, Timothy Poterba, Manolis Kellis, Tõnu Esko, Samuli Ripatti, Jerome I. Rotter, Sanni Ruotsalainen, Institute for Molecular Medicine Finland, Samuli Olli Ripatti / Principal Investigator, Centre of Excellence in Complex Disease Genetics, Clinicum, Doctoral Programme in Population Health, Biostatistics Helsinki, and Complex Disease Genetics
Subjects: 0301 basic medicine, PREDICTION, POLYGENIC RISK SCORES, EFFICIENT, General Physics and Astronomy, Blood lipids, Genome-wide association study, Cardiovascular, Genome, chemistry.chemical_compound, 0302 clinical medicine, Gene Frequency, Models, GENETIC-VARIANTS, Genotype, WIDE ASSOCIATION, 2.1 Biological and endogenous factors, Aetiology, FAMILIAL HYPERCHOLESTEROLEMIA, lcsh:Science, GENERAL-POPULATION, Genetics, 0303 health sciences, Multidisciplinary, High-Throughput Nucleotide Sequencing, Lipids, NHLBI TOPMed Lipids Working Group, 3. Good health, Cholesterol, symbols, LOW-FREQUENCY, lipids (amino acids, peptides, and proteins), Human, Biotechnology, Science, Genomics, Locus (genetics), Quantitative trait locus, Biology, General Biochemistry, Genetics and Molecular Biology, Article, LDL, 03 medical and health sciences, symbols.namesake, Genetic, medicine, Humans, Gene, 030304 developmental biology, Whole genome sequencing, Models, Genetic, Base Sequence, Genome, Human, Human Genome, General Chemistry, Cholesterol, LDL, DIVERSE POPULATIONS, medicine.disease, Atherosclerosis, 030104 developmental biology, chemistry, Mutation, Mendelian inheritance, lcsh:Q, 3111 Biomedicine, RARE-VARIANT ASSOCIATION, Digestive Diseases, 030217 neurology & neurosurgery, Imputation (genetics), Dyslipidemia, Genome-Wide Association Study
Abstract: Large-scale deep-coverage whole-genome sequencing (WGS) is now feasible and offers potential advantages for locus discovery. We perform WGS in 16,324 participants from four ancestries at mean depth >29X and analyze genotypes with four quantitative traits—plasma total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol, and triglycerides. Common variant association yields known loci except for few variants previously poorly imputed. Rare coding variant association yields known Mendelian dyslipidemia genes but rare non-coding variant association detects no signals. A high 2M-SNP LDL-C polygenic score (top 5th percentile) confers similar effect size to a monogenic mutation (~30 mg/dl higher for each); however, among those with severe hypercholesterolemia, 23% have a high polygenic score and only 2% carry a monogenic mutation. At these sample sizes and for these phenotypes, the incremental value of WGS for discovery is limited but WGS permits simultaneous assessment of monogenic and polygenic models to severe hypercholesterolemia., Common genetic variants associated with plasma lipids have been extensively studied for a better understanding of common diseases. Here, the authors use whole-genome sequencing of 16,324 individuals to analyze rare variant associations and to determine their monogenic and polygenic contribution to lipid traits.
Published: 2018
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