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26 results on '"Cristen J. Willer"'

1. 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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2. 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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3. 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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4. 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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5. 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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6. 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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7. 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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8. 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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9. 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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10. 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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11. 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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12. 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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13. 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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14. 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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15. 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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16. 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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17. 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

18. 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

19. 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, Scott, Hazelhurst, and Michèle, Ramsay

Subjects
Cross-Sectional Studies, Humans, Cholesterol, LDL, Africa South of the Sahara, Genome-Wide Association Study
Abstract

Genetic associations for lipid traits have identified hundreds of variants with clear differences across European, Asian and African studies. Based on a sub-Saharan-African GWAS for lipid traits in the population cross-sectional AWI-Gen cohort (N = 10,603) we report a novel LDL-C association in the GATB region (P-value=1.56 × 10

Published
2021

20. Loss-of-function genomic variants highlight potential therapeutic targets for cardiovascular disease

Author

Whitney E. Hornsby, Patricia A. Peyser, Albert V. Smith, Anita Pandit, Allison E. Ashley-Koch, Brooke N. Wolford, Morten S. Olesen, Michael Boehnke, Steven A. Lubitz, Lars G. Fritsche, Charles Kooperberg, Wayne Huey-Herng Sheu, Rasika A. Mathias, Sarah E. Graham, Ketian Yu, Yii Der Chen, Scott T. Weiss, Juan M. Peralta, David Schlessinger, Austen Grooms, Seyed Mehdi Nouraie, Xingnan Li, Ying Zhao, Russell P. Tracy, Chad M. Brummett, Sachin Kheterpal, Kent D. Taylor, Jill M. Johnsen, Jerome I. Rotter, Kristian Hveem, Pia R. Lundegaard, Vivek Rai, Victor R. Gordeuk, Anne Heidi Skogholt, Stella Aslibekyan, Alexander P. Reiner, Sebastian Schoenherr, Adolfo Correa, Matthew Zawistowski, Lewis C. Becker, Lukas Forer, Michelle Daya, Jonathon LeFaive, Mari Løset, Ben Michael Brumpton, Bertha Hidalgo, Marguerite R. Irvin, Seunggeun Lee, Ren-Hua Chung, Maiken Elvestad Gabrielsen, Francesco Cucca, William Overton, Gregory J.M. Zajac, Luis Villacorta, Stephen S. Rich, Sayantan Das, Karen Schwander, Yingze Zhang, Thomas W. Blackwell, Ida Surakka, Pradeep Natarajan, Solomon K. Musani, Tanmoy Roychowdhury, Kathleen C. Barnes, Donna K. Arnett, Jonas B. Nielsen, Vivien A. Sheehan, Akua Acheampong, Oddgeir L. Holmen, He Zhang, Carlo Sidore, Lisa R. Yanek, Oren Rom, Jessica Lasky-Su, Nicholette D. Palmer, Seung Hoan Choi, Amanda Schaefer, Yuhao Liu, Sarah A Gagliano Taliun, John Blangero, Daniel Taliun, Y. Eugene Chen, Deborah A. Meyers, L. Adrienne Cupples, Courtney G. Montgomery, Sekar Kathiresan, James G. Wilson, Marilyn J. Telen, Ramachandran S. Vasan, Jin Chen, Nicholas Rafaels, Bjørn Olav Åsvold, Lawrence F. Bielak, Hyun Min Kang, Christian Fuchsberger, Barbara A. Konkle, Sebastian Zöllner, Wei Zhou, Rebecca D. Jackson, Patrick T. Ellinor, Gonçalo R. Abecasis, Jifeng Zhang, Eugene R. Bleecker, Xiuqing Guo, Jennifer A. Smith, Cristen J. Willer, and Joanne E. Curran

Subjects
0301 basic medicine, LOCI, EXOME, General Physics and Astronomy, Genome-wide association study, Disease, 030204 cardiovascular system & hematology, Bioinformatics, Genome-wide association studies, chemistry.chemical_compound, THALASSEMIA, 0302 clinical medicine, Loss of Function Mutation, WIDE ASSOCIATION, Medicine, Molecular Targeted Therapy, Phenomics, Biological Specimen Banks, Multidisciplinary, Fatty liver, Lipids, Cardiovascular diseases, Liver, Gene Targeting, Science, METABOLISM, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Humans, Gene Silencing, Adverse effect, Genome, Human, business.industry, Cholesterol, PATHWAYS, General Chemistry, medicine.disease, United Kingdom, Computational biology and bioinformatics, MODEL, 030104 developmental biology, Receptors, LDL, chemistry, LDL receptor, Liver function, business, Dyslipidemia, GENERATION, Genome-Wide Association Study
Abstract

Pharmaceutical drugs targeting dyslipidemia and cardiovascular disease (CVD) may increase the risk of fatty liver disease and other metabolic disorders. To identify potential novel CVD drug targets without these adverse effects, we perform genome-wide analyses of participants in the HUNT Study in Norway (n = 69,479) to search for protein-altering variants with beneficial impact on quantitative blood traits related to cardiovascular disease, but without detrimental impact on liver function. We identify 76 (11 previously unreported) presumed causal protein-altering variants associated with one or more CVD- or liver-related blood traits. Nine of the variants are predicted to result in loss-of-function of the protein. This includes ZNF529:p.K405X, which is associated with decreased low-density-lipoprotein (LDL) cholesterol (P = 1.3 × 10−8) without being associated with liver enzymes or non-fasting blood glucose. Silencing of ZNF529 in human hepatoma cells results in upregulation of LDL receptor and increased LDL uptake in the cells. This suggests that inhibition of ZNF529 or its gene product should be prioritized as a novel candidate drug target for treating dyslipidemia and associated CVD., 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

21. 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

22. Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries

Author

Cashell E. Jaquish, Craig P. Hersh, Emily Barron-Casella, Larry Phillips, James S. Pankow, JoAnn E. Manson, Mariza de Andrade, Vivien A. Sheehan, Norann A. Zaghloul, Yongmei Liu, Sergei Nekhai, Russell P. Tracy, Bruce S. Weir, Pankaj Qasba, Adrienne M. Stilp, Tasha E. Fingerlin, Heather M. Ochs-Balcom, L. Adrienne Cupples, Rongze Yang, David A. Schwartz, Shannon Kelly, Scott E. Devine, Tanja Smith, G.L. Kinney, Beverly Snively, Kent D. Taylor, Manolis Kellis, Ruth J. F. Loos, Seth A. Ament, Kathleen C. Barnes, Robert C. Kaplan, Ulrich Broeckel, Hemant K. Tiwari, Karin F. Hoth, Peter Durda, Julie L. Mikulla, Charles B. Eaton, Cotton Seed, Merry Lynn McDonald, Eric Boerwinkle, Josh Smith, Honghuang Lin, Ingrid B. Borecki, Jeffrey L. Curtis, Emelia J. Benjamin, Kenneth Rice, Sharon L.R. Kardia, Nicholas L. Smith, Coleen M. Damcott, Jeffrey Haessler, Kimberly L. Jones, Elaine Cornell, Nona Sotoodehnia, Adolfo Correa, Rich Johnston, C. Charles Gu, Chii Min Hwu, Peter C. Anderson, Lesley F. Tinker, Colleen Davis, R. Graham Barr, Scott T. Weiss, Leanna Farnam, Chao Hsiung, Brian Silver, Patrick F. McArdle, Lisa W. Martin, Yii-Der Ida Chen, John Barnard, Holly Kramer, Sekar Kathiresan, Gonçalo R. Abecasis, Barry Make, Michael C. Mahaney, Marco V Perez, Donna K. Arnett, Mark Chaffin, Xiuqing Guo, Joshua C. Bis, Pamela Russell, Paul L. Auer, James G. Wilson, Marilyn J. Telen, David K. Levine, Jennifer A. Smith, Christopher Scheller, Meher Preethi Boorgula, Aakrosh Ratan, Kari E. North, Dan E. Arking, Elizabeth A. Regan, Margaret G. Parker, Andres Metspalu, Jai G. Broome, Daniel Taliun, Lynette Ekunwe, Alyna T. Khan, Hao Mei, Dhananjay Vaidya, Ellen M. Schmidt, Stanford Mwasongwe, Joshua P. Lewis, Stacey Gabriel, Christine E. Seidman, Margery Gass, Deborah A. Nickerson, Nicola L. Hawley, Rebecca L. Beer, Afshin Parsa, Steven L. Salzberg, Terri H. Beaty, Stella Aslibekyan, Girish N. Nadkarni, Wei Zhao, David L. Tirschwell, Karen Bunting, Dawn L. DeMeo, Laura J. Rasmussen-Torvik, Julia Powers Becker, Dmitry Prokopenko, Karen Schwander, Bruce D. Gelb, Stephanie Krauter, Laura M. Raffield, Michael E. Hall, Frank C. Sciurba, Lauren Margolin, Nora Franceschini, Daniel N. Harris, Seyedeh M. Zekavat, Dawood Darbar, Keng-Han Lin, Haley Huston, Steven A. Lubitz, Andrea Ganna, Carole Sztalryd, Cathy C. Laurie, Christy Chang, James E. Hixson, Steven A. McCarroll, Barbara A. Konkle, Michael D. Kessler, Scott I. Vrieze, Yingze Zhang, Sarah Ruuska, George J. Papanicolaou, Weiniu Gan, Maris Alver, Elizabeth A. Streeten, Fei Fei Wang, Lu-Chen Weng, Braxton D. Mitchell, Lee-Ming Chuang, Sean P. David, Wei-Min Chen, Susan R. Heckbert, Ryan D. Hernandez, Andrew D. Johnson, Cristen J. Willer, Ani Manichaikul, Jonathan M. Bloom, Timothy D. O’Connor, Sylvia Smoller, Marguerite R. Irvin, Seung Hoan Choi, Ida Surakka, Veikko Salomaa, Diane M. Becker, Ron Do, W. Craig Johnson, Cecelia A. Laurie, Meryl S. LeBoff, Aniket Shetty, Tõnu Esko, Michael C. Zody, Xiaoqi Geng, Da Wei Gong, Snow Xueyan Zhao, Esteban G. Burchard, Xiuwen Zheng, Cara L. Carty, Alexander P. Reiner, Tim Assimes, Deborah A. Meyers, Mina K. Chung, Harald H H Göring, Benjamin M. Neale, Pradeep Natarajan, Yan Gao, Stephen S. Rich, Yun Ju Sung, Susan K. Dutcher, Ferdouse Begum, Stephanie M. Gogarten, John Blangero, Jonathan Cardwell, Kayleen Williams, Rakhi P. Naik, Amol C. Shetty, Sayantan Das, Myriam Fornage, May E. Montasser, Michelle Daya, Edwin K. Silverman, Daniel E. Weeks, Laura J. Kaufman, Dimitrios Avramopoulos, Michael Y. Tsai, Christine M. Albert, Vijay G. Sankaran, Jeffrey R. O'Connell, Thomas W. Blackwell, Stephen T. McGarvey, Robert M. Reed, Leslie A. Lange, Qing Duan, Bruce M. Psaty, Leslie S. Emery, Bertha Hidalgo, Jennifer A. Brody, L. Keoki Williams, Soren Germer, Zhaohui S. Qin, Deepti Jain, Deborah Applebaum-Bowden, Carla Wilson, Degui Zhi, Christoph Lange, Elliott Hong, L.F. Bielak, Wen Jane Lee, Yue Guan, Tarik Walker, Rebecca D. Jackson, Charles R. Farber, Mark J. Daly, Stephanie M. Fullerton, John E. Hokanson, Karol E. Watson, James Luo, Richard Casaburi, Seunggeun Lee, Jill M. Johnsen, Margaret A. Taub, Ryan L. Minster, Ravi Duggirala, Susan K. Mathai, Yun Li, Quenna Wong, Matthew Flickinger, Huichun Xu, Susan Redline, Ulrike Peters, Ivana V. Yang, Jesse M. Engreitz, Sanni Ruotsalainen, Sean K. McFarland, Avram D Walts, Patricia A. Peyser, Allison E. Ashley-Koch, Lewis C. Becker, Nicholette Palmer Allred, James A. Perry, Jody S. Sylvia, Tamar Sofer, Vasan S. Ramachandran, Laura Almasy, Matthew J. Budoff, Ranjan Deka, David M. Herrington, Simeon I. Taylor, Daniel Levy, Chaojie Yang, Sameer Chavan, Kathleen A. Ryan, Josyf C. Mychaleckyj, Ingo Ruczinski, Sebastian Zoellner, Michael Preuss, Tim Poterba, Wendy S. Post, Amber L. Beitelshees, Ben Heavner, Carolina Roselli, Namiko Abe, Jonathon LeFaive, Mark T. Gladwin, Brian Custer, Robert B. Wallace, Simin Liu, Michael H. Cho, Robert E. Handsaker, Dabeeru C. Rao, Bo Juen Chen, Wayne Hui Heng Sheu, Xiang Zhou, Marcos Bezerra, Solomon K. Musani, Eimear E. Kenny, James F. Casella, Kathryn L. Lunetta, Nancy Min, Nicholas Rafaels, Lisa R. Yanek, Min A. Jhun, David C. Glahn, Rasika A. Mathias, Mollie A. Minear, Russell P. Bowler, Jason Ernst, Carolyn J. Crandall, Sara Penchev, Alvaro Alonso, Timothy A. Thornton, Toni I. Pollin, Charles Kooperberg, Ethan M. Lange, Juan M. Peralta, Pramod Anugu, Lucinda Fulton, Adam A. Szpiro, Michael R. DeBaun, M. Benjamin Shoemaker, Sam Phillips, Dan M. Roden, Mao Fu, Daniel I. Chasman, James D. Crapo, Hua Tang, Gina M. Peloso, Hyun Min Kang, Samuli Ripatti, Phuwanat Sakornsakolpat, Christopher R. Gignoux, Peter VandeHaar, Jerome I. Rotter, Dandi Qiao, Emily S. Wan, Shabnam Salimi, Kevin Sandow, Jiang He, Patrick T. Ellinor, Joanne E. Curran, Institute for Molecular Medicine Finland, Samuli Olli Ripatti / Principal Investigator, University of Helsinki, Centre of Excellence in Complex Disease Genetics, Clinicum, Doctoral Programme in Population Health, Department of Public Health, and Complex Disease Genetics

Subjects
0301 basic medicine, Apolipoprotein B, General Physics and Astronomy, Gene Expression, Genome-wide association study, 030204 cardiovascular system & hematology, Cardiovascular, Lipoprotein particle, chemistry.chemical_compound, 0302 clinical medicine, Risk Factors, GENETIC-VARIANTS, 2.1 Biological and endogenous factors, WIDE ASSOCIATION, Aetiology, lcsh:Science, African Continental Ancestry Group, Genetics, Multidisciplinary, Genome, biology, CHOLESTEROL, Adaptor Proteins, Lipoprotein(a), Single Nucleotide, NHLBI TOPMed Lipids Working Group, 3142 Public health care science, environmental and occupational health, 3. Good health, Cholesterol, Heart Disease, Cardiovascular Diseases, CARDIOVASCULAR-DISEASE, RARE VARIANTS, lipids (amino acids, peptides, and proteins), LOW-FREQUENCY, Human, DNA Copy Number Variations, Science, Quantitative Trait Loci, European Continental Ancestry Group, Black People, POPULATION-SCALE, Quantitative trait locus, Article, White People, General Biochemistry, Genetics and Molecular Biology, LDL, Structural variation, 03 medical and health sciences, COMPONENTS-ANALYSIS, RISK-FACTOR, Humans, CORONARY-HEART-DISEASE, Polymorphism, Whole Genome Sequencing, Prevention, Human Genome, General Chemistry, Atherosclerosis, Vesicular Transport, Good Health and Well Being, 030104 developmental biology, chemistry, biology.protein, lcsh:Q, 3111 Biomedicine, Lipoprotein, Genome-Wide Association Study
Abstract

Lipoprotein(a), Lp(a), is a modified low-density lipoprotein particle that contains apolipoprotein(a), encoded by LPA, and is a highly heritable, causal risk factor for cardiovascular diseases that varies in concentrations across ancestries. Here, we use deep-coverage whole genome sequencing in 8392 individuals of European and African ancestry to discover and interpret both single-nucleotide variants and copy number (CN) variation associated with Lp(a). We observe that genetic determinants between Europeans and Africans have several unique determinants. The common variant rs12740374 associated with Lp(a) cholesterol is an eQTL for SORT1 and independent of LDL cholesterol. Observed associations of aggregates of rare non-coding variants are largely explained by LPA structural variation, namely the LPA kringle IV 2 (KIV2)-CN. Finally, we find that LPA risk genotypes confer greater relative risk for incident atherosclerotic cardiovascular diseases compared to directly measured Lp(a), and are significantly associated with measures of subclinical atherosclerosis in African Americans., Circulating lipoprotein(a) is an important risk factor for cardiovascular disease and shows variability between different ethnic groups. Here, Zekavat et al. perform whole-genome sequencing in individuals of European and African ancestries and find ancestry-specific genetic determinants for lipoprotein(a) levels.

Published
2018

23. Genetic inactivation of ANGPTL4 improves glucose homeostasis and is associated with reduced risk of diabetes

Author

Teresa Tusié-Luna, Svati H. Shah, Wen-Jane Lee, Amit Khera, Gonçalo R. Abecasis, Olle Melander, Alan R. Shuldiner, Connor A. Emdin, Kari Stefansson, Jesper Gromada, Andrew P. Morris, Lee-Ming Chuang, Omri Gottesman, Lars G. Fritsche, Pradeep Natarajan, Marju Orho-Melander, Daniel F. Gudbjartsson, Anubha Mahajan, Marylyn D. Ritchie, William E. Kraus, Tooraj Mirshahi, Colm O'Dushlaine, Jason Flannick, Nicholas J. Wareham, Anne Tybjærg-Hansen, Anders Berg Wulff, Rashmi B. Prasad, Aris Baras, Jonas B. Nielsen, Valgerdur Steinthorsdottir, Yii-Der Ida Chen, Jerome I. Rotter, Lukas Habegger, Samantha N. Fetterolf, David Altshuler, Om Prakash Dwivedi, Tanya M. Teslovich, Cristen J. Willer, Luca A. Lotta, Andrew J. Murphy, Joseph B. Leader, Cristopher V. Van Hout, Christopher D. Still, Ola Hansson, David Birtwell, Alexander Lopez, Daniel J. Rader, John D. Overton, Anthony Marcketta, Patrick Sulem, Peter N. Benotti, Jose C. Florez, Lydia Coulter Kwee, David J. Carey, Oddgeir L. Holmen, Kristian Hveem, Leif Groop, Sekar Kathiresan, Viktoria Gusarova, Unnur Thorsteinsdottir, Cassandra M. Hartle, Uyenlinh L. Mirshahi, H. Lester Kirchner, Shannon Bruse, Robert A. Scott, Michael F. Murray, Marketa Sjögren, Jeffrey G. Reid, Aeron Small, Børge G. Nordestgaard, Amr H. Wardeh, Chad M. Brummett, Mark I. McCarthy, Frederick E. Dewey, David H. Ledbetter, John Penn, Ingrid B. Borecki, Scott M. Damrauer, Hilma Holm, Michael Boehnke, George D. Yancopoulos, Institute for Molecular Medicine Finland, University of Helsinki, Centre of Excellence in Complex Disease Genetics, and HUS Abdominal Center

Subjects
Blood Glucose, Male, 0301 basic medicine, Insulin Resistance/genetics, General Physics and Astronomy, Type 2 diabetes, 030204 cardiovascular system & hematology, Inbred C57BL, Cardiovascular, HAN CHINESE, Whole Exome Sequencing, Mice, 0302 clinical medicine, Risk Factors, ANGPTL4, Homeostasis, Glucose homeostasis, lcsh:Science, Mice, Knockout, Lipoprotein lipase, Multidisciplinary, Diabetes, Lipoprotein Lipase/metabolism, REMNANT CHOLESTEROL, ADIPOSE-TISSUE, Female, Type 2, Heterozygote, medicine.medical_specialty, Knockout, Science, LIPOPROTEIN-LIPASE, HEART-DISEASE, Diabetes Mellitus, Type 2/etiology, Article, General Biochemistry, Genetics and Molecular Biology, Angiopoietin-like 4 Protein/deficiency, 03 medical and health sciences, Internal medicine, Diabetes mellitus, Exome Sequencing, Diabetes Mellitus, Genetics, medicine, Angiopoietin-Like Protein 4, Animals, Humans, Gene Silencing, GENOME-WIDE ASSOCIATION, Metabolic and endocrine, Genetic Association Studies, CHINESE POPULATION, Blood Glucose/metabolism, PLASMA-LIPIDS, business.industry, Case-control study, Genetic Variation, General Chemistry, Odds ratio, Atherosclerosis, medicine.disease, Mice, Inbred C57BL, Lipoprotein Lipase, 030104 developmental biology, Endocrinology, Diabetes Mellitus, Type 2, Amino Acid Substitution, Case-Control Studies, lcsh:Q, 3111 Biomedicine, ANGIOPOIETIN-LIKE PROTEIN-4, Insulin Resistance, business
Abstract

Angiopoietin-like 4 (ANGPTL4) is an endogenous inhibitor of lipoprotein lipase that modulates lipid levels, coronary atherosclerosis risk, and nutrient partitioning. We hypothesize that loss of ANGPTL4 function might improve glucose homeostasis and decrease risk of type 2 diabetes (T2D). We investigate protein-altering variants in ANGPTL4 among 58,124 participants in the DiscovEHR human genetics study, with follow-up studies in 82,766 T2D cases and 498,761 controls. Carriers of p.E40K, a variant that abolishes ANGPTL4 ability to inhibit lipoprotein lipase, have lower odds of T2D (odds ratio 0.89, 95% confidence interval 0.85–0.92, p = 6.3 × 10−10), lower fasting glucose, and greater insulin sensitivity. Predicted loss-of-function variants are associated with lower odds of T2D among 32,015 cases and 84,006 controls (odds ratio 0.71, 95% confidence interval 0.49–0.99, p = 0.041). Functional studies in Angptl4-deficient mice confirm improved insulin sensitivity and glucose homeostasis. In conclusion, genetic inactivation of ANGPTL4 is associated with improved glucose homeostasis and reduced risk of T2D., 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

24. Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis

Author

Maiken Elvestad Gabrielsen, Matthew Zawistowski, Stein Hallan, Gonçalo R. Abecasis, Ida Surakka, Lars G. Fritsche, Matthew G. Sampson, Anne Heidi Skogholt, Wei Zhou, Sarah E. Graham, Damian Fermin, Hyun Min Kang, Whitney E. Hornsby, Chad M. Brummett, Sachin Kheterpal, Kristian Hveem, Seunggeun Lee, Solfrid Romundstad, Daniel B. Larach, Jonas B. Nielsen, and Cristen J. Willer

Subjects
0301 basic medicine, Male, Quantitative trait loci, Science, General Physics and Astronomy, Renal function, Kidney development, Genome-wide association study, Genomics, Locus (genetics), 02 engineering and technology, Bioinformatics, Kidney, Genome-wide association studies, Risk Assessment, General Biochemistry, Genetics and Molecular Biology, Article, Global Burden of Disease, 03 medical and health sciences, Sex Factors, Risk Factors, Chronic kidney disease, medicine, Humans, Renal Insufficiency, Chronic, lcsh:Science, Multidisciplinary, business.industry, urogenital system, General Chemistry, 021001 nanoscience & nanotechnology, medicine.disease, Prognosis, 3. Good health, 030104 developmental biology, Sample size determination, Genetic Loci, Meta-analysis, lcsh:Q, Female, 0210 nano-technology, business, Kidney disease, Genome-Wide Association Study, Glomerular Filtration Rate
Abstract

Chronic kidney disease (CKD) is a growing health burden currently affecting 10–15% of adults worldwide. Estimated glomerular filtration rate (eGFR) as a marker of kidney function is commonly used to diagnose CKD. We analyze eGFR data from the Nord-Trøndelag Health Study and Michigan Genomics Initiative and perform a GWAS meta-analysis with public summary statistics, more than doubling the sample size of previous meta-analyses. We identify 147 loci (53 novel) associated with eGFR, including genes involved in transcriptional regulation, kidney development, cellular signaling, metabolism, and solute transport. Additionally, sex-stratified analysis identifies one locus with more significant effects in women than men. Using genetic risk scores constructed from these eGFR meta-analysis results, we show that associated variants are generally predictive of CKD with only modest improvements in detection compared with other known clinical risk factors. Collectively, these results yield additional insight into the genetic factors underlying kidney function and progression to CKD., 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

25. New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk

Author

Philippe Froguel, Pekka Jousilahti, Harry Campbell, Ellen M. Schmidt, Vasiliki Lagou, John Andrew Pospisilik, Ivana Kolcic, Igor Rudan, Mark A. Sarzynski, Brigitte Kühnel, Robin Haring, Paul Knekt, Christian Gieger, Eero Kajantie, Jian Yang, Tuomas O. Kilpeläinen, Hans L. Hillege, Niek Verweij, Sarah H Wild, Torben Hansen, Leena Taittonen, Michael Boehnke, Mark I. McCarthy, Joel N. Hirschhorn, Åsa K. Hedman, D. Timothy Bishop, James F. Wilson, Jian'an Luan, Leo-Pekka Lyytikäinen, Nita G. Forouhi, Mark Walker, Elodie Eury, Konstantin Strauch, Aroon D. Hingorani, Nam H. Cho, Peter Vollenweider, Erkki Vartiainen, Jong-Young Lee, Fredrik Karpe, Jiali Han, Joanne M. Jordan, Chen Lu, Henri Wallaschofski, Anna A. E. Vinkhuyzen, Alan R. Shuldiner, David J. Hunter, Mario Falchi, Aron S. Buchman, Caroline S. Fox, Robert A. Scott, Chan Soo Shin, Fernando Rivadeneira, Zari Dastani, Veikko Salomaa, Weihua Zhang, Rui Li, John C. Chambers, Thorkild I. A. Sørensen, André G. Uitterlinden, David A. Bennett, Marianna Sanna, Claire Bellis, Lars Bertram, Karl Michaëlsson, Yingchang Lu, Marie Loh, Loic Yengo, Bok-Ghee Han, Priya Srikanth, Laura Pascoe, Peter Wagner, Philip L. De Jager, Oscar H. Franco, Yongmei Liu, Stavroula Kanoni, Simone Gärtner, Ruth J. F. Loos, Eric E. Schadt, Claes Ohlsson, Cornelia M. van Duijn, Jorma S. A. Viikari, Stephan J. L. Bakker, Tamara B. Harris, Pirro G. Hysi, Samuli Ripatti, John R. B. Perry, Stefan A. Czerwinski, Tune H. Pers, Angela Döring, Ghazaleh Fatemifar, Tarunveer S. Ahluwalia, Liesbeth Vandenput, Carrie M. Nielson, Claudia Langenberg, Carolina Medina-Gomez, Mike A. Nalls, Erik Ingelsson, Barbara McKnight, Niels Grarup, L. Adrienne Cupples, Torben Jørgensen, Satu Männistö, Jianbo Na, Cristen J. Willer, Tuomo Rankinen, Irene Mateo Leach, Cecilia M. Lindgren, Marie-Claude Vohl, Ryan W. Walker, Yun Ju Sung, Joanne M. Murabito, Natasja M. van Schoor, Mika Kivimäki, Nicholas J. Wareham, Lei Yu, Markku Laakso, Julia A. Newton Bishop, Pim van der Harst, Qibin Qi, Veronique Bataille, Clive Osmond, Alan F. Wright, Audrey C. Choh, Charles C. White, Felix R. Day, Ron T. Gansevoort, Tiina Laatikainen, Ozren Polasek, Johan G. Eriksson, Mark M. Iles, Dena G. Hernandez, Meena Kumari, Dmitry Shungin, Jeffrey R. O'Connell, Joseph M. Zmuda, Antti Jula, Hyung Jin Choi, Albert Hofman, Steven R. Cummings, Youfang Liu, Vilmundur Gudnason, J. Brent Richards, Michael Stumvoll, Ayse Demirkan, Teresa Ferreira, Rosalie A. M. Dhonukshe-Rutten, Rahel Eckardt, Lude Franke, Karen L. Mohlke, Uzma Afzal, Kijoung Song, Till Ittermann, Janina S. Ried, Allan Linneberg, Nicholas D. Hastie, Laticia Oozageer, Johanna Kuusisto, John Blangero, Amélie Bonnefond, Panos Deloukas, Andrew P. Morris, Oluf Pedersen, Adam E. Locke, Emmi Tikkanen, Veronique Vitart, Aki S. Havulinna, Olli T. Raitakari, Inga Prokopenko, Peter Lichtner, Harm-Jan Westra, Katja Borodulin, Teemu Kuulasmaa, Lars Lind, Bradford Towne, Christine G. Lee, Mika Kähönen, Anke W. Enneman, Terrence S. Furey, Treva Rice, Abbas Dehghan, Jaspal S. Kooner, Dabeeru C. Rao, Terrence Forrester, Jing Hua Zhao, Xin Li, Mary F. Feitosa, Melissa E. Garcia, Tian Liu, Aarno Palotie, Eric S. Orwoll, Reedik Mägi, Daniel S. Evans, Elisabeth Widen, Tim D. Spector, Caroline Hayward, Annette Peters, Markku Heliövaara, Harald Grallert, Niina Eklund, Robert C. Kaplan, Ilja Demuth, Luigi Ferrucci, Kati Kristiansson, Amy Luke, Tõnu Esko, Ken K. Ong, Gregory J. Tranah, Angelo Tremblay, Ben A. Oostra, Stefan Gustafsson, Zhihong Zhu, Nina Smolej Narančić, Cameron D. Palmer, William R. Scott, Alexander Teumer, Anne U. Jackson, Markus Perola, Toshiko Tanaka, Lavinia Paternoster, Henry Völzke, Terho Lehtimäki, Dominik Spira, Karin M. A. Swart, Louis Pérusse, Matthias Blüher, Jari Lahti, M. Carola Zillikens, Kari E. North, Yvonne Boettcher, Douglas P. Kiel, Bamidele O. Tayo, Elisabeth Steinhagen-Thiessen, Diana L. Cousminer, Joanne E. Curran, Peter Kovacs, David M. Evans, Claude Bouchard, Alena Stančáková, Seppo Koskinen, Jack W. Kent, Alexander W. Drong, Massimo Mangino, Frédéric Fumeron, Richard S. Cooper, Juha Karjalainen, Nathalie van der Velde, Martin L. Buchkovich, Stéphane Lobbens, Cristina Menni, Anubha Mahajan, Nele Friedrich, Anke Tönjes, Colin A. McKenzie, Tom Forsén, Anne E. Justice, Lisette C. P. G. M. de Groot, Ingrid B. Borecki, Mingfeng Zhang, Tommy Cederholm, IOO, Internal medicine, Epidemiology and Data Science, EMGO - Musculoskeletal health, APH - Amsterdam Public Health, AMS - Amsterdam Movement Sciences, Geriatrics, Internal Medicine, Erasmus MC other, Epidemiology, Clinical Genetics, Institute for Molecular Medicine Finland, Clinicum, Department of General Practice and Primary Health Care, Behavioural Sciences, Samuli Olli Ripatti / Principal Investigator, Department of Public Health, Aarno Palotie / Principal Investigator, Johan Eriksson / Principal Investigator, Children's Hospital, Lastentautien yksikkö, University of Helsinki, Elisabeth Ingrid Maria Widen / Principal Investigator, Biostatistics Helsinki, Quantitative Genetics, Developmental Psychology Research Group, Complex Disease Genetics, Genomics of Neurological and Neuropsychiatric Disorders, Genomic Discoveries and Clinical Translation, Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), and Stem Cell Aging Leukemia and Lymphoma (SALL)

Subjects
0301 basic medicine, Medicin och hälsovetenskap, Drosophila melanogaster/genetics, Nutrition and Disease, General Physics and Astronomy, Genome-wide association study, Medical and Health Sciences, Body fat percentage, Voeding en Ziekte, CUTANEOUS NEVI, Mass index, Human Nutrition & Health, Adiposity, INSULIN-RESISTANCE, Multidisciplinary, body fat, cardiometabolic traits, genome-wide association study, meta-analysis, biology, Disease genetics, Leptin, Humane Voeding & Gezondheid, COMMON VARIANTS, Public Health, Global Health, Social Medicine and Epidemiology, 3. Good health, Biological sciences, Cardiovascular diseases, Drosophila melanogaster, Gene Knockdown Techniques, ENERGY-BALANCE, Medical Genetics, medicine.medical_specialty, SUSCEPTIBILITY LOCI, Heart Diseases, 515 Psychology, Science, Quantitative Trait Loci, PROVIDES INSIGHTS, Quantitative trait locus, General Biochemistry, Genetics and Molecular Biology, Article, GENETIC ARCHITECTURE, 03 medical and health sciences, MASS INDEX, Insulin resistance, Internal medicine, MD Multidisciplinary, Genetics, medicine, Life Science, Animals, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, Medicinsk genetik, VLAG, Global Nutrition, Wereldvoeding, Gene Expression Regulation/physiology, C-reactive protein, Metabolic diseases, General Chemistry, ta3121, medicine.disease, Onderwijsinstituut, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Adiposity/genetics, Drosophila melanogaster/metabolism, Genome-Wide Association Study, Heart Diseases/genetics, Quantitative Trait Loci/genetics, 030104 developmental biology, Endocrinology, Gene Expression Regulation, 3121 General medicine, internal medicine and other clinical medicine, biology.protein, Lean body mass, IDENTIFIES COMMON
Abstract

To increase our understanding of the genetic basis of adiposity and its links to cardiometabolic disease risk, we conducted a genome-wide association meta-analysis of body fat percentage (BF%) in up to 100,716 individuals. Twelve loci reached genome-wide significance (P, 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
2015

26. Genome-wide analysis yields new loci associating with aortic valve stenosis

Author

Anders Franco-Cereceda, Andreas Martinsson, Niek Verweij, Bo Yang, Per Eriksson, Tomas Gudbjartsson, Isleifur Olafsson, Chad M. Brummett, J. Gustav Smith, Thorsteinn Bjornsson, Maoxuan Lin, Peter Almgren, Whitney E. Hornsby, Daniel F. Gudbjartsson, Vinicius Tragante, Olle Melander, Gylfi Oskarsson, Gudmundur Thorgeirsson, Simon C. Body, Jonas B. Nielsen, Valgerdur Steinthorsdottir, Dianna M. Milewicz, Gonçalo R. Abecasis, Dongchuan Guo, Ingileif Jonsdottir, Emil L. Sigurdsson, Hilma Holm, Wei Zhou, Lars G. Fritsche, Unnur Thorsteinsdottir, Gudmar Thorleifsson, Arnar Geirsson, Siddharth K. Prakash, Anna Helgadottir, Michael R. Mathis, Kristian Hveem, Anders Hamsten, Solveig Gretarsdottir, Olafur A. Stefansson, Lasse Folkersen, Christopher Newton-Cheh, Rosa B. Thorolfsdottir, Mahyar Heydarpour, Ragnar Danielsen, Cristen J. Willer, Kari Stefansson, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Háskóli Íslands, and University of Iceland

Subjects
0301 basic medicine, medicine.medical_treatment, General Physics and Astronomy, Genome-wide association study, Coronary Artery Disease, 030204 cardiovascular system & hematology, Genome-wide association studies, Heart development, Coronary artery disease, 0302 clinical medicine, Bicuspid aortic valve, Valve replacement, Risk Factors, GENETIC-VARIANTS, RISK VARIANTS, Missense mutation, Blóðrásarsjúkdómar, lcsh:Science, 0303 health sciences, Multidisciplinary, CHOLESTEROL, valvular heart disease, Atrial fibrillation, 3. Good health, Phenotype, Congenital heart defects, Aortic valve stenosis, cardiovascular system, Cardiology, CORONARY-ARTERY-DISEASE, Erfðarannsóknir, medicine.medical_specialty, Science, Locus (genetics), Biology, GENOTYPE IMPUTATION, Article, General Biochemistry, Genetics and Molecular Biology, DISSECTIONS, 03 medical and health sciences, Internal medicine, medicine, Erfðafræði, Humans, cardiovascular diseases, CHROMOSOME 4Q25, METAANALYSIS, 030304 developmental biology, IDENTIFICATION, business.industry, Case-control study, Aortic Valve Stenosis, General Chemistry, Odds ratio, Arfgengi, Valvular disease, medicine.disease, 030104 developmental biology, Case-Control Studies, ATRIAL-FIBRILLATION, lcsh:Q, MYH6, business, Genome-Wide Association Study
Abstract

Aortic valve stenosis (AS) is the most common valvular heart disease, and valve replacement is the only definitive treatment. Here we report a large genome-wide association (GWA) study of 2,457 Icelandic AS cases and 349,342 controls with a follow-up in up to 4,850 cases and 451,731 controls of European ancestry. We identify two new AS loci, on chromosome 1p21 near PALMD (rs7543130; odds ratio (OR) = 1.20, P = 1.2 × 10−22) and on chromosome 2q22 in TEX41 (rs1830321; OR = 1.15, P = 1.8 × 10−13). Rs7543130 also associates with bicuspid aortic valve (BAV) (OR = 1.28, P = 6.6 × 10−10) and aortic root diameter (P = 1.30 × 10−8), and rs1830321 associates with BAV (OR = 1.12, P = 5.3 × 10−3) and coronary artery disease (OR = 1.05, P = 9.3 × 10−5). The results implicate both cardiac developmental abnormalities and atherosclerosis-like processes in the pathogenesis of AS. We show that several pathways are shared by CAD and AS. Causal analysis suggests that the shared risk factors of Lp(a) and non-high-density lipoprotein cholesterol contribute substantially to the frequent co-occurence of these diseases., This research has been conducted using the UK Biobank Resource under Application Number 15293. We thank all participants of the Cardiovascular Health Improvement Project (CHIP) and BAV registry at the University of Michigan for their contribution to research. We appreciate the valuable efforts from the CHIP and BAV registry collection team. The University of Michigan Health System—Cardiovascular Health Improvement Project was supported by the Frankel Cardiovascular Center. We appreciate the Aikens Fund for Aortic Research (to C.J.W., B.Y.) and McKay research award for supporting this project (to B.Y.). B.Y. is supported by American Association of Thoracic Surgery (AATS) Graham Foundation and Thoracic Surgery Foundation of Research and Education (TSFRE). C.J.W. is supported by HL109946, HL130705, and HL127564. W.Z. is supported by the Rackham Predoctoral Fellowship of the University of Michigan.

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