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1. Genome-wide association study identifies host genetic variants influencing oral microbiota diversity and metabolic health

Author

Evelina Stankevic, Timo Kern, Dmitrii Borisevich, Casper Sahl Poulsen, Anne Lundager Madsen, Tue Haldor Hansen, Anna Jonsson, Mikkel Schubert, Nikoline Nygaard, Trine Nielsen, Daniel Belstrøm, Tarunveer S. Ahluwalia, Daniel R. Witte, Niels Grarup, Manimozhiyan Arumugam, Oluf Pedersen, and Torben Hansen

Subjects
Oral microbiota, Oral health, Metabolic disease, Single nucleotide polymorphism, Microbiome-genome wide association study, Host genetics and microbiota interplay, Medicine, Science
Abstract

Abstract The microbial communities of the oral cavity are important elements of oral and systemic health. With emerging evidence highlighting the heritability of oral bacterial microbiota, this study aimed to identify host genome variants that influence oral microbial traits. Using data from 16S rRNA gene amplicon sequencing, we performed genome-wide association studies with univariate and multivariate traits of the salivary microbiota from 610 unrelated adults from the Danish ADDITION-PRO cohort. We identified six single nucleotide polymorphisms (SNPs) in human genomes that showed associations with abundance of bacterial taxa at different taxonomical tiers (P

Published
2024
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2. European and multi-ancestry genome-wide association meta-analysis of atopic dermatitis highlights importance of systemic immune regulation

Author

Ashley Budu-Aggrey, Anna Kilanowski, Maria K. Sobczyk, andMe Research Team, Suyash S. Shringarpure, Ruth Mitchell, Kadri Reis, Anu Reigo, Estonian Biobank Research Team, Reedik Mägi, Mari Nelis, Nao Tanaka, Ben M. Brumpton, Laurent F. Thomas, Pol Sole-Navais, Christopher Flatley, Antonio Espuela-Ortiz, Esther Herrera-Luis, Jesus V. T. Lominchar, Jette Bork-Jensen, Ingo Marenholz, Aleix Arnau-Soler, Ayoung Jeong, Katherine A. Fawcett, Hansjorg Baurecht, Elke Rodriguez, Alexessander Couto Alves, Ashish Kumar, Patrick M. Sleiman, Xiao Chang, Carolina Medina-Gomez, Chen Hu, Cheng-jian Xu, Cancan Qi, Sarah El-Heis, Philip Titcombe, Elie Antoun, João Fadista, Carol A. Wang, Elisabeth Thiering, Baojun Wu, Sara Kress, Dilini M. Kothalawala, Latha Kadalayil, Jiasong Duan, Hongmei Zhang, Sabelo Hadebe, Thomas Hoffmann, Eric Jorgenson, Hélène Choquet, Neil Risch, Pål Njølstad, Ole A. Andreassen, Stefan Johansson, Catarina Almqvist, Tong Gong, Vilhelmina Ullemar, Robert Karlsson, Patrik K. E. Magnusson, Agnieszka Szwajda, Esteban G. Burchard, Jacob P. Thyssen, Torben Hansen, Line L. Kårhus, Thomas M. Dantoft, Alexander C.S.N. Jeanrenaud, Ahla Ghauri, Andreas Arnold, Georg Homuth, Susanne Lau, Markus M. Nöthen, Norbert Hübner, Medea Imboden, Alessia Visconti, Mario Falchi, Veronique Bataille, Pirro Hysi, Natalia Ballardini, Dorret I. Boomsma, Jouke J. Hottenga, Martina Müller-Nurasyid, Tarunveer S. Ahluwalia, Jakob Stokholm, Bo Chawes, Ann-Marie M. Schoos, Ana Esplugues, Mariona Bustamante, Benjamin Raby, Syed Arshad, Chris German, Tõnu Esko, Lili A. Milani, Andres Metspalu, Chikashi Terao, Katrina Abuabara, Mari Løset, Kristian Hveem, Bo Jacobsson, Maria Pino-Yanes, David P. Strachan, Niels Grarup, Allan Linneberg, Young-Ae Lee, Nicole Probst-Hensch, Stephan Weidinger, Marjo-Riitta Jarvelin, Erik Melén, Hakon Hakonarson, Alan D. Irvine, Deborah Jarvis, Tamar Nijsten, Liesbeth Duijts, Judith M. Vonk, Gerard H. Koppelmann, Keith M. Godfrey, Sheila J. Barton, Bjarke Feenstra, Craig E. Pennell, Peter D. Sly, Patrick G. Holt, L. Keoki Williams, Hans Bisgaard, Klaus Bønnelykke, John Curtin, Angela Simpson, Clare Murray, Tamara Schikowski, Supinda Bunyavanich, Scott T. Weiss, John W. Holloway, Josine L. Min, Sara J. Brown, Marie Standl, and Lavinia Paternoster

Subjects
Science
Abstract

Abstract Atopic dermatitis (AD) is a common inflammatory skin condition and prior genome-wide association studies (GWAS) have identified 71 associated loci. In the current study we conducted the largest AD GWAS to date (discovery N = 1,086,394, replication N = 3,604,027), combining previously reported cohorts with additional available data. We identified 81 loci (29 novel) in the European-only analysis (which all replicated in a separate European analysis) and 10 additional loci in the multi-ancestry analysis (3 novel). Eight variants from the multi-ancestry analysis replicated in at least one of the populations tested (European, Latino or African), while two may be specific to individuals of Japanese ancestry. AD loci showed enrichment for DNAse I hypersensitivity and eQTL associations in blood. At each locus we prioritised candidate genes by integrating multi-omic data. The implicated genes are predominantly in immune pathways of relevance to atopic inflammation and some offer drug repurposing opportunities.

Published
2023
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3. Bone mineral density loci specific to the skull portray potential pleiotropic effects on craniosynostosis

Author

Carolina Medina-Gomez, Benjamin H. Mullin, Alessandra Chesi, Vid Prijatelj, John P. Kemp, Chen Shochat-Carvalho, Katerina Trajanoska, Carol Wang, Raimo Joro, Tavia E. Evans, Katharina E. Schraut, Ruifang Li-Gao, Tarunveer S. Ahluwalia, M. Carola Zillikens, Kun Zhu, Dennis O. Mook-Kanamori, Daniel S. Evans, Maria Nethander, Maria J. Knol, Gudmar Thorleifsson, Ivana Prokic, Babette Zemel, Linda Broer, Fiona E. McGuigan, Natasja M. van Schoor, Sjur Reppe, Mikolaj A. Pawlak, Stuart H. Ralston, Nathalie van der Velde, Mattias Lorentzon, Kari Stefansson, Hieab H. H. Adams, Scott G. Wilson, M. Arfan Ikram, John P. Walsh, Timo A. Lakka, Kaare M. Gautvik, James F. Wilson, Eric S. Orwoll, Cornelia M. van Duijn, Klaus Bønnelykke, Andre G. Uitterlinden, Unnur Styrkársdóttir, Kristina E. Akesson, Timothy D. Spector, Jonathan H. Tobias, Claes Ohlsson, Janine F. Felix, Hans Bisgaard, Struan F. A. Grant, J. Brent Richards, David M. Evans, Bram van der Eerden, Jeroen van de Peppel, Cheryl Ackert-Bicknell, David Karasik, Erika Kague, and Fernando Rivadeneira

Subjects
Biology (General), QH301-705.5
Abstract

Abstract Skull bone mineral density (SK-BMD) provides a suitable trait for the discovery of key genes in bone biology, particularly to intramembranous ossification, not captured at other skeletal sites. We perform a genome-wide association meta-analysis (n ~ 43,800) of SK-BMD, identifying 59 loci, collectively explaining 12.5% of the trait variance. Association signals cluster within gene-sets involved in skeletal development and osteoporosis. Among the four novel loci (ZIC1, PRKAR1A, AZIN1/ATP6V1C1, GLRX3), there are factors implicated in intramembranous ossification and as we show, inherent to craniosynostosis processes. Functional follow-up in zebrafish confirms the importance of ZIC1 on cranial suture patterning. Likewise, we observe abnormal cranial bone initiation that culminates in ectopic sutures and reduced BMD in mosaic atp6v1c1 knockouts. Mosaic prkar1a knockouts present asymmetric bone growth and, conversely, elevated BMD. In light of this evidence linking SK-BMD loci to craniofacial abnormalities, our study provides new insight into the pathophysiology, diagnosis and treatment of skeletal diseases.

Published
2023
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4. Large-scale exome array summary statistics resources for glycemic traits to aid effector gene prioritization [version 1; peer review: 2 approved]

Author

Natasha H. J. Ng, Sara M. Willems, Jian'an Luan, Rebecca S. Fine, Juan Fernandez, Jennifer Wessel, Eleanor Wheeler, Gaelle Marenne, Hidetoshi Kitajima, Hanieh Yaghootkar, Xueling Sim, Ian J. Deary, Sai Chen, Shuai Wang, Yii-Der Ida Chen, Caroline Hayward, Yuning Chen, Jennifer L. Asimit, Claudia Langenberg, Tibor V. Varga, Archie Campbell, Rona J. Strawbridge, Shuang Feng, Tarunveer S. Ahluwalia, Erica L. Kleinbrink, Emil V. Appel, Ping An, Lawrence F. Bielak, Dan E. Arking, Jennifer A. Brody, Nathan A. Bihlmeyer, David Porteous, Ayse Demirkan, Audrey Y. Chu, Franco Giulianini, James S. Floyd, Stefan Gustafsson, Xiuqing Guo, Johanna Jakobsdottir, Anne U. Jackson, Stavroula Kanoni, Richard A. Jensen, Igor Rudan, Man Li, Sirkka Keinanen-Kiukaanniemi, Alisa K. Manning, Yingchang Lu, Karina Meidtner, Jonathan Marten, Giorgio Pistis, Taulant Muka, Kenneth M. Rice, Bram Prins, Albert Vernon Smith, Serena Sanna, Lorraine Southam, Jennifer A. Smith, Vinicius Tragante, Heather M. Stringham, Helen R. Warren, Sander W. van der Laan, Andrianos M. Yiorkas, Jie Yao, Wei Zhao, Weihua Zhang, Heather M. Highland, Mariaelisa Graff, Eirini Marouli, Anne E. Justice, Wesam A. Alhejily, Saima Afaq, Folkert W. Asselbergs, Najaf Amin, Michiel L. Bots, Lori L. Bonnycastle, Ji Chen, Ivan Brandslund, Abbas Dehghan, John Danesh, Tapani Ebeling, Jessica D. Faul, Aliki-Eleni Farmaki, Steve Franks, Paul W. Franks, Anette P. Gjesing, Andreas Fritsche, Göran Hallmans, Mark O. Goodarzi, Karl-Heinz Herzig, Tamara B. Harris, Min A Jhun, Marie-France Hivert, Marit E. Jørgensen, Torben Jørgensen, Eero Kajantie, Pekka Jousilahti, Sharon L.R. Kardia, Maria Karaleftheri, Heikki A. Koistinen, Leena Kinnunen, Peter Kovacs, Pirjo Komulainen, Markku Laakso, Johanna Kuusisto, Aaron Leong, Lenore J. Launer, Jocelyn E. Manning Fox, Jaana Lindström, Nisa M. Maruthur, Satu Männistö, Antonella Mulas, Leena Moilanen, Matthew Neville, Mike A. Nalls, Alison Pattie, James S. Pankow, Hannu Puolijoki, Eva R.B. Petersen, Paul Redmond, Asif Rasheed, Michael Roden, Frida Renström, Juha Saltevo, Danish Saleheen, Sylvain Sebert, Kai Savonen, Alena Stančáková, Kerrin S. Small, Konstantin Strauch, Jakob Stokholm, Betina H. Thuesen, Juha Auvinen, E-Shyong Tai, Emmanouil Tsafantakis, Anke Tönjes, Jaakko Tuomilehto, Tiinamaija Tuomi, Marja Vääräsmäki, Matti Uusitupa, Magdalena Zoledziewska, Ilonca Vaartjes, Beverley Balkau, Goncalo Abecasis, Alexandra I. Blakemore, Hans Bisgaard, Heiner Boeing, Ruth J.F. Loos, Matthias Blüher, Klaus Bønnelykke, Eric Boerwinkle, Mark J. Caulfield, Erwin P. Bottinger, Daniel I. Chasman, John C. Chambers, Francis S. Collins, Ching-Yu Cheng, Francesco Cucca, Josef Coresh, George Dedoussis, Gert J. de Borst, Hester M. den Ruijter, Panos Deloukas, Ele Ferrannini, Michele K. Evans, Harald Grallert, Oscar H. Franco, Arfan Ikram, Joel N. Hirschhorn, Fredrik Karpe, Erik Ingelsson, Wieland Kiess, Carolina Medina-Gomez, Kay-Tee Kaw, Antje Körner, Jaspal S. Kooner, Cecilia M. Lindgren, Timo Lakka, Ching-Ti Liu, Leonard Lipovich, Patrick E. MacDonald, Jun Liu, Andrew D. Morris, Karen L. Mohlke, Alison Murray, Patricia B. Munroe, Gerard Pasterkamp, Colin N. A . Palmer, Patricia A. Peyser, Oluf Pedersen, Paul M. Ridker, Rainer Rauramaa, Patrik Rorsman, Olov Rolandsson, Veikko Salomaa, Frits R. Rosendaal, Robert Sladek, Matthias B. Schulze, Michael Stumvoll, Timothy D. Spector, Mark Walker, Cornelia M. van Duijn, David R. Weir, Nick J. Wareham, Tien Yin Wong, James G. Wilson, Alan B. Zonderman, Eleftheria Zeggini, Andrew P. Morris, Jerome I. Rotter, Jose C. Florez, Michael Boehnke, James B. Meigs, Mark I. McCarthy, Robert A. Scott, Anubha Mahajan, Inês Barroso, Anna L. Gloyn, Michael A. Province, Niels Grarup, Ruifang Li-Gao, Jette Bork-Jensen, Yongmei Liu, Allan Linneberg, Leslie A. Lange, Sandosh Padmanabhan, Gail Davies, Lars Lind, Bruce M. Psaty, Tea Skaaby, Torben Hansen, Ozren Polasek, John M. Starr, Dennis O. Mook-Kanamori, Vilmundur Gudnason, Kent D. Taylor, Marjo-Riitta Järvelin, Renée de Mutsert, Paul Elliott, Josée Dupuis, Blair H. Smith, and Andrew T. Hattersley

Subjects
exome chip, glycaemic traits, genetic discovery, effector genes, summary statistics resources, eng, Medicine, Science
Abstract

Background Genome-wide association studies for glycemic traits have identified hundreds of loci associated with these biomarkers of glucose homeostasis. Despite this success, the challenge remains to link variant associations to genes, and underlying biological pathways. Methods To identify coding variant associations which may pinpoint effector genes at both novel and previously established genome-wide association loci, we performed meta-analyses of exome-array studies for four glycemic traits: glycated hemoglobin (HbA1c, up to 144,060 participants), fasting glucose (FG, up to 129,665 participants), fasting insulin (FI, up to 104,140) and 2hr glucose post-oral glucose challenge (2hGlu, up to 57,878). In addition, we performed network and pathway analyses. Results Single-variant and gene-based association analyses identified coding variant associations at more than 60 genes, which when combined with other datasets may be useful to nominate effector genes. Network and pathway analyses identified pathways related to insulin secretion, zinc transport and fatty acid metabolism. HbA1c associations were strongly enriched in pathways related to blood cell biology. Conclusions Our results provided novel glycemic trait associations and highlighted pathways implicated in glycemic regulation. Exome-array summary statistic results are being made available to the scientific community to enable further discoveries.

Published
2023
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5. 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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6. Four missense genetic variants in CUBN are associated with higher levels of eGFR in non-diabetes but not in diabetes mellitus or its subtypes: A genetic association study in Europeans

Author

Nicoline Uglebjerg, Fariba Ahmadizar, Dina M. Aly, Marisa Cañadas-Garre, Claire Hill, Annemieke Naber, Asmundur Oddsson, Sunny S. Singh, Laura Smyth, David-Alexandre Trégouët, Layal Chaker, Mohsen Ghanbari, Valgerdur Steinthorsdottir, Emma Ahlqvist, Samy Hadjadj, Mandy Van Hoek, Maryam Kavousi, Amy Jayne McKnight, Eric J. Sijbrands, Kari Stefansson, Matias Simons, Peter Rossing, and Tarunveer S. Ahluwalia

Subjects
genetics, CUBN, cubilin, kidney function, eGFR, diabetes, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract

AimRare genetic variants in the CUBN gene encoding the main albumin-transporter in the proximal tubule of the kidneys have previously been associated with microalbuminuria and higher urine albumin levels, also in diabetes. Sequencing studies in isolated proteinuria suggest that these variants might not affect kidney function, despite proteinuria. However, the relation of these CUBN missense variants to the estimated glomerular filtration rate (eGFR) is largely unexplored. We hereby broadly examine the associations between four CUBN missense variants and eGFRcreatinine in Europeans with Type 1 (T1D) and Type 2 Diabetes (T2D). Furthermore, we sought to deepen our understanding of these variants in a range of single- and aggregate- variant analyses of other kidney-related traits in individuals with and without diabetes mellitus.MethodsWe carried out a genetic association-based linear regression analysis between four CUBN missense variants (rs141640975, rs144360241, rs45551835, rs1801239) and eGFRcreatinine (ml/min/1.73 m2, CKD-EPIcreatinine(2012), natural log-transformed) in populations with T1D (n ~ 3,588) or T2D (n ~ 31,155) from multiple European studies and in individuals without diabetes from UK Biobank (UKBB, n ~ 370,061) with replication in deCODE (n = 127,090). Summary results of the diabetes-group were meta-analyzed using the fixed-effect inverse-variance method.ResultsAlbeit we did not observe associations between eGFRcreatinine and CUBN in the diabetes-group, we found significant positive associations between the minor alleles of all four variants and eGFRcreatinine in the UKBB individuals without diabetes with rs141640975 being the strongest (Effect=0.02, PeGFR_creatinine=2.2 × 10-9). We replicated the findings for rs141640975 in the Icelandic non-diabetes population (Effect=0.026, PeGFR_creatinine=7.7 × 10-4). For rs141640975, the eGFRcreatinine-association showed significant interaction with albuminuria levels (normo-, micro-, and macroalbuminuria; p = 0.03). An aggregated genetic risk score (GRS) was associated with higher urine albumin levels and eGFRcreatinine. The rs141640975 variant was also associated with higher levels of eGFRcreatinine-cystatin C (ml/min/1.73 m2, CKD-EPI2021, natural log-transformed) and lower circulating cystatin C levels.ConclusionsThe positive associations between the four CUBN missense variants and eGFR in a large population without diabetes suggests a pleiotropic role of CUBN as a novel eGFR-locus in addition to it being a known albuminuria-locus. Additional associations with diverse renal function measures (lower cystatin C and higher eGFRcreatinine-cystatin C levels) and a CUBN-focused GRS further suggests an important role of CUBN in the future personalization of chronic kidney disease management in people without diabetes.

Published
2023
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7. Multiomics signatures of type 1 diabetes with and without albuminuria

Author

Marc Clos-Garcia, Tarunveer S. Ahluwalia, Signe A. Winther, Peter Henriksen, Mina Ali, Yong Fan, Evelina Stankevic, Liwei Lyu, Josef K. Vogt, Torben Hansen, Cristina Legido-Quigley, Peter Rossing, and Oluf Pedersen

Subjects
multiomics, type 1 diabetes, albuminuria, metabolomics, microbiome, lipidomics, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract

Aims/hypothesisTo identify novel pathophysiological signatures of longstanding type 1 diabetes (T1D) with and without albuminuria we investigated the gut microbiome and blood metabolome in individuals with T1D and healthy controls (HC). We also mapped the functional underpinnings of the microbiome in relation to its metabolic role.MethodsOne hundred and sixty-one individuals with T1D and 50 HC were recruited at the Steno Diabetes Center Copenhagen, Denmark. T1D cases were stratified based on levels of albuminuria into normoalbuminuria, moderate and severely increased albuminuria. Shotgun sequencing of bacterial and viral microbiome in stool samples and circulating metabolites and lipids profiling using mass spectroscopy in plasma of all participants were performed. Functional mapping of microbiome into Gut Metabolic Modules (GMMs) was done using EggNog and KEGG databases. Multiomics integration was performed using MOFA tool.ResultsMeasures of the gut bacterial beta diversity differed significantly between T1D and HC, either with moderately or severely increased albuminuria. Taxonomic analyses of the bacterial microbiota identified 51 species that differed in absolute abundance between T1D and HC (17 higher, 34 lower). Stratified on levels of albuminuria, 10 species were differentially abundant for the moderately increased albuminuria group, 63 for the severely increased albuminuria group while 25 were common and differentially abundant both for moderately and severely increased albuminuria groups, when compared to HC. Functional characterization of the bacteriome identified 23 differentially enriched GMMs between T1D and HC, mostly involved in sugar and amino acid metabolism. No differences in relation to albuminuria stratification was observed. Twenty-five phages were differentially abundant between T1D and HC groups. Six of these varied with albuminuria status. Plasma metabolomics indicated differences in the steroidogenesis and sugar metabolism and circulating sphingolipids in T1D individuals. We identified association between sphingolipid levels and Bacteroides sp. abundances. MOFA revealed reduced interactions between gut microbiome and plasma metabolome profiles albeit polar metabolite, lipids and bacteriome compositions contributed to the variance in albuminuria levels among T1D individuals.ConclusionsIndividuals with T1D and progressive kidney disease stratified on levels of albuminuria show distinct signatures in their gut microbiome and blood metabolome.

Published
2022
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8. Rare variant analysis in eczema identifies exonic variants in DUSP1, NOTCH4 and SLC9A4

Author

Sarah Grosche, Ingo Marenholz, Jorge Esparza-Gordillo, Aleix Arnau-Soler, Erola Pairo-Castineira, Franz Rüschendorf, Tarunveer S. Ahluwalia, Catarina Almqvist, Andreas Arnold, Australian Asthma Genetics Consortium (AAGC), Hansjörg Baurecht, Hans Bisgaard, Klaus Bønnelykke, Sara J. Brown, Mariona Bustamante, John A. Curtin, Adnan Custovic, Shyamali C. Dharmage, Ana Esplugues, Mario Falchi, Dietmar Fernandez-Orth, Manuel A. R. Ferreira, Andre Franke, Sascha Gerdes, Christian Gieger, Hakon Hakonarson, Patrick G. Holt, Georg Homuth, Norbert Hubner, Pirro G. Hysi, Marjo-Riitta Jarvelin, Robert Karlsson, Gerard H. Koppelman, Susanne Lau, Manuel Lutz, Patrik K. E. Magnusson, Guy B. Marks, Martina Müller-Nurasyid, Markus M. Nöthen, Lavinia Paternoster, Craig E. Pennell, Annette Peters, Konrad Rawlik, Colin F. Robertson, Elke Rodriguez, Sylvain Sebert, Angela Simpson, Patrick M. A. Sleiman, Marie Standl, Dora Stölzl, Konstantin Strauch, Agnieszka Szwajda, Albert Tenesa, Philip J. Thompson, Vilhelmina Ullemar, Alessia Visconti, Judith M. Vonk, Carol A. Wang, Stephan Weidinger, Matthias Wielscher, Catherine L. Worth, Chen-Jian Xu, and Young-Ae Lee

Subjects
Science
Abstract

Genetic studies of eczema to date have mostly explored common genetic variation. Here, the authors perform a large meta-analysis for common and rare variants and discover 8 loci associated with eczema. Over 20% of the heritability of the condition is attributable to rare variants.

Published
2021
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9. Genetic association study of childhood aggression across raters, instruments, and age

Author

Hill F. Ip, Camiel M. van der Laan, Eva M. L. Krapohl, Isabell Brikell, Cristina Sánchez-Mora, Ilja M. Nolte, Beate St Pourcain, Koen Bolhuis, Teemu Palviainen, Hadi Zafarmand, Lucía Colodro-Conde, Scott Gordon, Tetyana Zayats, Fazil Aliev, Chang Jiang, Carol A. Wang, Gretchen Saunders, Ville Karhunen, Anke R. Hammerschlag, Daniel E. Adkins, Richard Border, Roseann E. Peterson, Joseph A. Prinz, Elisabeth Thiering, Ilkka Seppälä, Natàlia Vilor-Tejedor, Tarunveer S. Ahluwalia, Felix R. Day, Jouke-Jan Hottenga, Andrea G. Allegrini, Kaili Rimfeld, Qi Chen, Yi Lu, Joanna Martin, María Soler Artigas, Paula Rovira, Rosa Bosch, Gemma Español, Josep Antoni Ramos Quiroga, Alexander Neumann, Judith Ensink, Katrina Grasby, José J. Morosoli, Xiaoran Tong, Shelby Marrington, Christel Middeldorp, James G. Scott, Anna Vinkhuyzen, Andrey A. Shabalin, Robin Corley, Luke M. Evans, Karen Sugden, Silvia Alemany, Lærke Sass, Rebecca Vinding, Kate Ruth, Jess Tyrrell, Gareth E. Davies, Erik A. Ehli, Fiona A. Hagenbeek, Eveline De Zeeuw, Toos C.E.M. Van Beijsterveldt, Henrik Larsson, Harold Snieder, Frank C. Verhulst, Najaf Amin, Alyce M. Whipp, Tellervo Korhonen, Eero Vuoksimaa, Richard J. Rose, André G. Uitterlinden, Andrew C. Heath, Pamela Madden, Jan Haavik, Jennifer R. Harris, Øyvind Helgeland, Stefan Johansson, Gun Peggy S. Knudsen, Pal Rasmus Njolstad, Qing Lu, Alina Rodriguez, Anjali K. Henders, Abdullah Mamun, Jackob M. Najman, Sandy Brown, Christian Hopfer, Kenneth Krauter, Chandra Reynolds, Andrew Smolen, Michael Stallings, Sally Wadsworth, Tamara L. Wall, Judy L. Silberg, Allison Miller, Liisa Keltikangas-Järvinen, Christian Hakulinen, Laura Pulkki-Råback, Alexandra Havdahl, Per Magnus, Olli T. Raitakari, John R. B. Perry, Sabrina Llop, Maria-Jose Lopez-Espinosa, Klaus Bønnelykke, Hans Bisgaard, Jordi Sunyer, Terho Lehtimäki, Louise Arseneault, Marie Standl, Joachim Heinrich, Joseph Boden, John Pearson, L. John Horwood, Martin Kennedy, Richie Poulton, Lindon J. Eaves, Hermine H. Maes, John Hewitt, William E. Copeland, Elizabeth J. Costello, Gail M. Williams, Naomi Wray, Marjo-Riitta Järvelin, Matt McGue, William Iacono, Avshalom Caspi, Terrie E. Moffitt, Andrew Whitehouse, Craig E. Pennell, Kelly L. Klump, S. Alexandra Burt, Danielle M. Dick, Ted Reichborn-Kjennerud, Nicholas G. Martin, Sarah E. Medland, Tanja Vrijkotte, Jaakko Kaprio, Henning Tiemeier, George Davey Smith, Catharina A. Hartman, Albertine J. Oldehinkel, Miquel Casas, Marta Ribasés, Paul Lichtenstein, Sebastian Lundström, Robert Plomin, Meike Bartels, Michel G. Nivard, and Dorret I. Boomsma

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Abstract Childhood aggressive behavior (AGG) has a substantial heritability of around 50%. Here we present a genome-wide association meta-analysis (GWAMA) of childhood AGG, in which all phenotype measures across childhood ages from multiple assessors were included. We analyzed phenotype assessments for a total of 328 935 observations from 87 485 children aged between 1.5 and 18 years, while accounting for sample overlap. We also meta-analyzed within subsets of the data, i.e., within rater, instrument and age. SNP-heritability for the overall meta-analysis (AGGoverall) was 3.31% (SE = 0.0038). We found no genome-wide significant SNPs for AGGoverall. The gene-based analysis returned three significant genes: ST3GAL3 (P = 1.6E–06), PCDH7 (P = 2.0E–06), and IPO13 (P = 2.5E–06). All three genes have previously been associated with educational traits. Polygenic scores based on our GWAMA significantly predicted aggression in a holdout sample of children (variance explained = 0.44%) and in retrospectively assessed childhood aggression (variance explained = 0.20%). Genetic correlations (r g ) among rater-specific assessment of AGG ranged from r g = 0.46 between self- and teacher-assessment to r g = 0.81 between mother- and teacher-assessment. We obtained moderate-to-strong r g s with selected phenotypes from multiple domains, but hardly with any of the classical biomarkers thought to be associated with AGG. Significant genetic correlations were observed with most psychiatric and psychological traits (range $$\left| {r_g} \right|$$ r g : 0.19–1.00), except for obsessive-compulsive disorder. Aggression had a negative genetic correlation (r g = ~−0.5) with cognitive traits and age at first birth. Aggression was strongly genetically correlated with smoking phenotypes (range $$\left| {r_g} \right|$$ r g : 0.46–0.60). The genetic correlations between aggression and psychiatric disorders were weaker for teacher-reported AGG than for mother- and self-reported AGG. The current GWAMA of childhood aggression provides a powerful tool to interrogate the rater-specific genetic etiology of AGG.

Published
2021
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10. Human C-terminal CUBN variants associate with chronic proteinuria and normal renal function

Author

Mathilda Bedin, Olivia Boyer, Aude Servais, Yong Li, Laure Villoing-Gaudé, Marie-Josephe Tête, Alexandra Cambier, Julien Hogan, Veronique Baudouin, Saoussen Krid, Albert Bensman, Florie Lammens, Ferielle Louillet, Bruno Ranchin, Cecile Vigneau, Iseline Bouteau, Corinne Isnard-Bagnis, Christoph J. Mache, Tobias Schäfer, Lars Pape, Markus Gödel, Tobias B. Huber, Marcus Benz, Günter Klaus, Matthias Hansen, Kay Latta, Olivier Gribouval, Vincent Morinière, Carole Tournant, Maik Grohmann, Elisa Kuhn, Timo Wagner, Christine Bole-Feysot, Fabienne Jabot-Hanin, Patrick Nitschké, Tarunveer S. Ahluwalia, Anna Köttgen, Christian Brix Folsted Andersen, Carsten Bergmann, Corinne Antignac, and Matias Simons

Subjects
Medicine
Published
2022
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11. Circulating Metabolomic and Lipidomic Signatures Identify a Type 2 Diabetes Risk Profile in Low-Birth-Weight Men with Non-Alcoholic Fatty Liver Disease

Author

Line O. Elingaard-Larsen, Sofie O. Villumsen, Louise Justesen, Anne Cathrine B. Thuesen, Min Kim, Mina Ali, Else R. Danielsen, Cristina Legido-Quigley, Gerrit van Hall, Torben Hansen, Tarunveer S. Ahluwalia, Allan A. Vaag, and Charlotte Brøns

Subjects
low-birth-weight, liver fat, non-alcoholic fatty liver disease, metabolomics, lipidomics, type 2 diabetes, Nutrition. Foods and food supply, TX341-641
Abstract

The extent to which increased liver fat content influences differences in circulating metabolites and/or lipids between low-birth-weight (LBW) individuals, at increased risk of type 2 diabetes (T2D), and normal-birth-weight (NBW) controls is unknown. The objective of the study was to perform untargeted serum metabolomics and lipidomics analyses in 26 healthy, non-obese early-middle-aged LBW men, including five men with screen-detected and previously unrecognized non-alcoholic fatty liver disease (NAFLD), compared with 22 age- and BMI-matched NBW men (controls). While four metabolites (out of 65) and fifteen lipids (out of 279) differentiated the 26 LBW men from the 22 NBW controls (p ≤ 0.05), subgroup analyses of the LBW men with and without NAFLD revealed more pronounced differences, with 11 metabolites and 56 lipids differentiating (p ≤ 0.05) the groups. The differences in the LBW men with NAFLD included increased levels of ornithine and tyrosine (PFDR ≤ 0.1), as well as of triglycerides and phosphatidylcholines with shorter carbon-chain lengths and fewer double bonds. Pathway and network analyses demonstrated downregulation of transfer RNA (tRNA) charging, altered urea cycling, insulin resistance, and an increased risk of T2D in the LBW men with NAFLD. Our findings highlight the importance of increased liver fat in the pathogenesis of T2D in LBW individuals.

Published
2023
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12. FUT2–ABO epistasis increases the risk of early childhood asthma and Streptococcus pneumoniae respiratory illnesses

Author

Tarunveer S. Ahluwalia, Anders U. Eliasen, Astrid Sevelsted, Casper-Emil T. Pedersen, Jakob Stokholm, Bo Chawes, Jette Bork-Jensen, Niels Grarup, Oluf Pedersen, Torben Hansen, Allan Linneberg, Amitabh Sharma, Scott T. Weiss, Michael D. Evans, Daniel J. Jackson, Andreanne Morin, Karen A. Krogfelt, Susanne Schjørring, Preben B. Mortensen, David M. Hougaard, Jonas Bybjerg-Grauholm, Marie Bækvad-Hansen, Ole Mors, Merete Nordentoft, Anders D. Børglum, Thomas Werge, Esben Agerbo, James E. Gern, Robert F. Lemanske, Carole Ober, Anders G. Pedersen, Hans Bisgaard, and Klaus Bønnelykke

Subjects
Science
Abstract

Genetic variants discovered through genome-wide association studies for asthma together account for a small portion of the heritability. Here, the authors identify a possible epistatic relationship between coding variants in FUT2 and ABO, especially pronounced in severe and early onset asthma.

Published
2020
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13. Cardiovascular Autonomic Neuropathy in Type 1 Diabetes Is Associated With Disturbances in TCA, Lipid, and Glucose Metabolism

Author

Christian S. Hansen, Tommi Suvitaival, Simone Theilade, Ismo Mattila, Maria Lajer, Kajetan Trošt, Linda Ahonen, Tine W. Hansen, Cristina Legido-Quigley, Peter Rossing, and Tarunveer S. Ahluwalia

Subjects
cardiovascular autonomic neuropathy, lipidomics, proteomics, TCA cycle, citric acid - CA, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract

IntroductionDiabetic cardiovascular autonomic neuropathy (CAN) is associated with increased mortality and morbidity. To explore metabolic mechanisms associated with CAN we investigated associations between serum metabolites and CAN in persons with type 1 diabetes (T1D).Materials and MethodsCardiovascular reflex tests (CARTs) (heart rate response to: deep breathing; lying-to-standing test; and the Valsalva maneuver) were used to diagnose CAN in 302 persons with T1D. More than one pathological CARTs defined the CAN diagnosis. Serum metabolomics and lipidomic profiles were analyzed with two complementary non-targeted mass-spectrometry methods. Cross-sectional associations between metabolites and CAN were assessed by linear regression models adjusted for relevant confounders.ResultsParticipants were median (IQR) aged 55(49, 63) years, 48% males with diabetes duration 39(32, 47) years, HbA1c 63(55,69) mmol/mol and 34% had CAN. A total of 75 metabolites and 106 lipids were analyzed. In crude models, the CAN diagnosis was associated with higher levels of hydroxy fatty acids (2,4- and 3,4-dihydroxybutanoic acids, 4−deoxytetronic acid), creatinine, sugar derivates (ribitol, ribonic acid, myo-inositol), citric acid, glycerol, phenols, phosphatidylcholines and lower levels of free fatty acids and the amino acid methionine (p

Published
2022
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14. A genome-wide association study of total child psychiatric problems scores

Author

Alexander Neumann, Ilja M. Nolte, Irene Pappa, Tarunveer S. Ahluwalia, Erik Pettersson, Alina Rodriguez, Andrew Whitehouse, Catharina E. M. van Beijsterveldt, Beben Benyamin, Anke R. Hammerschlag, Quinta Helmer, Ville Karhunen, Eva Krapohl, Yi Lu, Peter J. van der Most, Teemu Palviainen, Beate St Pourcain, Ilkka Seppälä, Anna Suarez, Natalia Vilor-Tejedor, Carla M. T. Tiesler, Carol Wang, Amanda Wills, Ang Zhou, Silvia Alemany, Hans Bisgaard, Klaus Bønnelykke, Gareth E. Davies, Christian Hakulinen, Anjali K. Henders, Elina Hyppönen, Jakob Stokholm, Meike Bartels, Jouke-Jan Hottenga, Joachim Heinrich, John Hewitt, Liisa Keltikangas-Järvinen, Tellervo Korhonen, Jaakko Kaprio, Jari Lahti, Marius Lahti-Pulkkinen, Terho Lehtimäki, Christel M. Middeldorp, Jackob M. Najman, Craig Pennell, Chris Power, Albertine J. Oldehinkel, Robert Plomin, Katri Räikkönen, Olli T. Raitakari, Kaili Rimfeld, Lærke Sass, Harold Snieder, Marie Standl, Jordi Sunyer, Gail M. Williams, Marian J. Bakermans-Kranenburg, Dorret I. Boomsma, Marinus H. van IJzendoorn, Catharina A. Hartman, and Henning Tiemeier

Subjects
Medicine, Science
Abstract

Substantial genetic correlations have been reported across psychiatric disorders and numerous cross-disorder genetic variants have been detected. To identify the genetic variants underlying general psychopathology in childhood, we performed a genome-wide association study using a total psychiatric problem score. We analyzed 6,844,199 common SNPs in 38,418 school-aged children from 20 population-based cohorts participating in the EAGLE consortium. The SNP heritability of total psychiatric problems was 5.4% (SE = 0.01) and two loci reached genome-wide significance: rs10767094 and rs202005905. We also observed an association of SBF2, a gene associated with neuroticism in previous GWAS, with total psychiatric problems. The genetic effects underlying the total score were shared with common psychiatric disorders only (attention-deficit/hyperactivity disorder, anxiety, depression, insomnia) (rG > 0.49), but not with autism or the less common adult disorders (schizophrenia, bipolar disorder, or eating disorders) (rG < 0.01). Importantly, the total psychiatric problem score also showed at least a moderate genetic correlation with intelligence, educational attainment, wellbeing, smoking, and body fat (rG > 0.29). The results suggest that many common genetic variants are associated with childhood psychiatric symptoms and related phenotypes in general instead of with specific symptoms. Further research is needed to establish causality and pleiotropic mechanisms between related traits.

Published
2022

15. Variants in the fetal genome near pro-inflammatory cytokine genes on 2q13 associate with gestational duration

Author

Xueping Liu, Dorte Helenius, Line Skotte, Robin N. Beaumont, Matthias Wielscher, Frank Geller, Julius Juodakis, Anubha Mahajan, Jonathan P. Bradfield, Frederick T. J. Lin, Suzanne Vogelezang, Mariona Bustamante, Tarunveer S. Ahluwalia, Niina Pitkänen, Carol A. Wang, Jonas Bacelis, Maria C. Borges, Ge Zhang, Bruce A. Bedell, Robert M. Rossi, Kristin Skogstrand, Shouneng Peng, Wesley K. Thompson, Vivek Appadurai, Debbie A. Lawlor, Ilkka Kalliala, Christine Power, Mark I. McCarthy, Heather A. Boyd, Mary L. Marazita, Hakon Hakonarson, M. Geoffrey Hayes, Denise M. Scholtens, Fernando Rivadeneira, Vincent W. V. Jaddoe, Rebecca K. Vinding, Hans Bisgaard, Bridget A. Knight, Katja Pahkala, Olli Raitakari, Øyvind Helgeland, Stefan Johansson, Pål R. Njølstad, João Fadista, Andrew J. Schork, Ron Nudel, Daniel E. Miller, Xiaoting Chen, Matthew T. Weirauch, Preben Bo Mortensen, Anders D. Børglum, Merete Nordentoft, Ole Mors, Ke Hao, Kelli K. Ryckman, David M. Hougaard, Leah C. Kottyan, Craig E. Pennell, Leo-Pekka Lyytikainen, Klaus Bønnelykke, Martine Vrijheid, Janine F. Felix, William L. Lowe, Struan F. A. Grant, Elina Hyppönen, Bo Jacobsson, Marjo-Riitta Jarvelin, Louis J. Muglia, Jeffrey C. Murray, Rachel M. Freathy, Thomas M. Werge, Mads Melbye, Alfonso Buil, and Bjarke Feenstra

Subjects
Science
Abstract

Gestational duration depends on both maternal and fetal genetic influences. Here, the authors perform a fetal genome-wide association meta-analysis and find that a locus on 2q13 is associated with pregnancy duration and further show that the lead SNP rs7594852 changes the binding properties of transcriptional repressor HIC1.

Published
2019
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16. Low-frequency variation in TP53 has large effects on head circumference and intracranial volume

Author

Simon Haworth, Chin Yang Shapland, Caroline Hayward, Bram P. Prins, Janine F. Felix, Carolina Medina-Gomez, Fernando Rivadeneira, Carol Wang, Tarunveer S. Ahluwalia, Martine Vrijheid, Mònica Guxens, Jordi Sunyer, Ioanna Tachmazidou, Klaudia Walter, Valentina Iotchkova, Andrew Jackson, Louise Cleal, Jennifer Huffmann, Josine L. Min, Lærke Sass, Paul R. H. J. Timmers, UK10K consortium, George Davey Smith, Simon E. Fisher, James F. Wilson, Tim J. Cole, Dietmar Fernandez-Orth, Klaus Bønnelykke, Hans Bisgaard, Craig E. Pennell, Vincent W. V. Jaddoe, George Dedoussis, Nicholas Timpson, Eleftheria Zeggini, Veronique Vitart, and Beate St Pourcain

Subjects
Science
Abstract

Size and shape of the brain are, among others, influenced by the dimensions of the skull. Here, the authors report genome-wide association studies for head circumference and intracranial volume in children and adults and the identification of nine common or low-frequency variants associated with these traits.

Published
2019
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17. Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation

Author

Alexander Teumer, Layal Chaker, Stefan Groeneweg, Yong Li, Celia Di Munno, Caterina Barbieri, Ulla T. Schultheiss, Michela Traglia, Tarunveer S. Ahluwalia, Masato Akiyama, Emil Vincent R. Appel, Dan E. Arking, Alice Arnold, Arne Astrup, Marian Beekman, John P. Beilby, Sofie Bekaert, Eric Boerwinkle, Suzanne J. Brown, Marc De Buyzere, Purdey J. Campbell, Graziano Ceresini, Charlotte Cerqueira, Francesco Cucca, Ian J. Deary, Joris Deelen, Kai-Uwe Eckardt, Arif B. Ekici, Johan G. Eriksson, Luigi Ferrrucci, Tom Fiers, Edoardo Fiorillo, Ian Ford, Caroline S. Fox, Christian Fuchsberger, Tessel E. Galesloot, Christian Gieger, Martin Gögele, Alessandro De Grandi, Niels Grarup, Karin Halina Greiser, Kadri Haljas, Torben Hansen, Sarah E. Harris, Diana van Heemst, Martin den Heijer, Andrew A. Hicks, Wouter den Hollander, Georg Homuth, Jennie Hui, M. Arfan Ikram, Till Ittermann, Richard A. Jensen, Jiaojiao Jing, J. Wouter Jukema, Eero Kajantie, Yoichiro Kamatani, Elisa Kasbohm, Jean-Marc Kaufman, Lambertus A. Kiemeney, Margreet Kloppenburg, Florian Kronenberg, Michiaki Kubo, Jari Lahti, Bruno Lapauw, Shuo Li, David C. M. Liewald, Lifelines Cohort Study, Ee Mun Lim, Allan Linneberg, Michela Marina, Deborah Mascalzoni, Koichi Matsuda, Daniel Medenwald, Christa Meisinger, Ingrid Meulenbelt, Tim De Meyer, Henriette E. Meyer zu Schwabedissen, Rafael Mikolajczyk, Matthijs Moed, Romana T. Netea-Maier, Ilja M. Nolte, Yukinori Okada, Mauro Pala, Cristian Pattaro, Oluf Pedersen, Astrid Petersmann, Eleonora Porcu, Iris Postmus, Peter P. Pramstaller, Bruce M. Psaty, Yolande F. M. Ramos, Rajesh Rawal, Paul Redmond, J. Brent Richards, Ernst R. Rietzschel, Fernando Rivadeneira, Greet Roef, Jerome I. Rotter, Cinzia F. Sala, David Schlessinger, Elizabeth Selvin, P. Eline Slagboom, Nicole Soranzo, Thorkild I. A. Sørensen, Timothy D. Spector, John M. Starr, David J. Stott, Youri Taes, Daniel Taliun, Toshiko Tanaka, Betina Thuesen, Daniel Tiller, Daniela Toniolo, Andre G. Uitterlinden, W. Edward Visser, John P. Walsh, Scott G. Wilson, Bruce H. R. Wolffenbuttel, Qiong Yang, Hou-Feng Zheng, Anne Cappola, Robin P. Peeters, Silvia Naitza, Henry Völzke, Serena Sanna, Anna Köttgen, Theo J. Visser, and Marco Medici

Subjects
Science
Abstract

Thyroid dysfunction is a common public health problem and associated with cardiovascular co-morbidities. Here, the authors carry out genome-wide meta-analysis for thyroid hormone (TH) levels, hyper- and hypothyroidism and identify SLC17A4 as a TH transporter and AADAT as a TH metabolizing enzyme.

Published
2018
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18. Multiethnic meta-analysis identifies ancestry-specific and cross-ancestry loci for pulmonary function

Author

Annah B. Wyss, Tamar Sofer, Mi Kyeong Lee, Natalie Terzikhan, Jennifer N. Nguyen, Lies Lahousse, Jeanne C. Latourelle, Albert Vernon Smith, Traci M. Bartz, Mary F. Feitosa, Wei Gao, Tarunveer S. Ahluwalia, Wenbo Tang, Christopher Oldmeadow, Qing Duan, Kim de Jong, Mary K. Wojczynski, Xin-Qun Wang, Raymond Noordam, Fernando Pires Hartwig, Victoria E. Jackson, Tianyuan Wang, Ma’en Obeidat, Brian D. Hobbs, Tianxiao Huan, Hongsheng Gui, Margaret M. Parker, Donglei Hu, Lauren S. Mogil, Gleb Kichaev, Jianping Jin, Mariaelisa Graff, Tamara B. Harris, Ravi Kalhan, Susan R. Heckbert, Lavinia Paternoster, Kristin M. Burkart, Yongmei Liu, Elizabeth G. Holliday, James G. Wilson, Judith M. Vonk, Jason L. Sanders, R. Graham Barr, Renée de Mutsert, Ana Maria Baptista Menezes, Hieab H. H. Adams, Maarten van den Berge, Roby Joehanes, Albert M. Levin, Jennifer Liberto, Lenore J. Launer, Alanna C. Morrison, Colleen M. Sitlani, Juan C. Celedón, Stephen B. Kritchevsky, Rodney J. Scott, Kaare Christensen, Jerome I. Rotter, Tobias N. Bonten, Fernando César Wehrmeister, Yohan Bossé, Shujie Xiao, Sam Oh, Nora Franceschini, Jennifer A. Brody, Robert C. Kaplan, Kurt Lohman, Mark McEvoy, Michael A. Province, Frits R. Rosendaal, Kent D. Taylor, David C. Nickle, L. Keoki Williams, Esteban G. Burchard, Heather E. Wheeler, Don D. Sin, Vilmundur Gudnason, Kari E. North, Myriam Fornage, Bruce M. Psaty, Richard H. Myers, George O’Connor, Torben Hansen, Cathy C. Laurie, Patricia A. Cassano, Joohon Sung, Woo Jin Kim, John R. Attia, Leslie Lange, H. Marike Boezen, Bharat Thyagarajan, Stephen S. Rich, Dennis O. Mook-Kanamori, Bernardo Lessa Horta, André G. Uitterlinden, Hae Kyung Im, Michael H. Cho, Guy G. Brusselle, Sina A. Gharib, Josée Dupuis, Ani Manichaikul, and Stephanie J. London

Subjects
Science
Abstract

Pulmonary function is influenced by environmental factors, lifestyle, and genetics. Here, in a multiethnic GWAS meta-analysis for pulmonary function traits, the authors identify over 50 additional genetic loci, a subset of which are specific for European, African, Asian, or Hispanic/Latino ancestry.

Published
2018
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19. Bivariate genome-wide association meta-analysis of pediatric musculoskeletal traits reveals pleiotropic effects at the SREBF1/TOM1L2 locus

Author

Carolina Medina-Gomez, John P. Kemp, Niki L. Dimou, Eskil Kreiner, Alessandra Chesi, Babette S. Zemel, Klaus Bønnelykke, Cindy G. Boer, Tarunveer S. Ahluwalia, Hans Bisgaard, Evangelos Evangelou, Denise H. M. Heppe, Lynda F. Bonewald, Jeffrey P. Gorski, Mohsen Ghanbari, Serkalem Demissie, Gustavo Duque, Matthew T. Maurano, Douglas P. Kiel, Yi-Hsiang Hsu, Bram C.J. van der Eerden, Cheryl Ackert-Bicknell, Sjur Reppe, Kaare M. Gautvik, Truls Raastad, David Karasik, Jeroen van de Peppel, Vincent W. V. Jaddoe, André G. Uitterlinden, Jonathan H. Tobias, Struan F.A. Grant, Pantelis G. Bagos, David M. Evans, and Fernando Rivadeneira

Subjects
Science
Abstract

Author summary Bone mineral density and lean skeletal mass are heritable traits. Here, Medina-Gomez and colleagues perform bivariate GWAS analyses of total body lean mass and bone mass density in children, and show genetic loci with pleiotropic effects on both traits.

Published
2017
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20. Investigating the causal effect of smoking on hay fever and asthma: a Mendelian randomization meta-analysis in the CARTA consortium

Author

Tea Skaaby, Amy E. Taylor, Rikke K. Jacobsen, Lavinia Paternoster, Betina H. Thuesen, Tarunveer S. Ahluwalia, Sofus C. Larsen, Ang Zhou, Andrew Wong, Maiken E. Gabrielsen, Johan H. Bjørngaard, Claudia Flexeder, Satu Männistö, Rebecca Hardy, Diana Kuh, Sarah J. Barry, Line Tang Møllehave, Charlotte Cerqueira, Nele Friedrich, Tobias N. Bonten, Raymond Noordam, Dennis O. Mook-Kanamori, Christian Taube, Leon E. Jessen, Alex McConnachie, Naveed Sattar, Mark N. Upton, Charles McSharry, Klaus Bønnelykke, Hans Bisgaard, Holger Schulz, Konstantin Strauch, Thomas Meitinger, Annette Peters, Harald Grallert, Ellen A. Nohr, Mika Kivimaki, Meena Kumari, Uwe Völker, Matthias Nauck, Henry Völzke, Chris Power, Elina Hyppönen, Torben Hansen, Torben Jørgensen, Oluf Pedersen, Veikko Salomaa, Niels Grarup, Arnulf Langhammer, Pål R. Romundstad, Frank Skorpen, Jaakko Kaprio, Marcus R Munafò, and Allan Linneberg

Subjects
Medicine, Science
Abstract

Abstract Observational studies on smoking and risk of hay fever and asthma have shown inconsistent results. However, observational studies may be biased by confounding and reverse causation. Mendelian randomization uses genetic variants as markers of exposures to examine causal effects. We examined the causal effect of smoking on hay fever and asthma by using the smoking-associated single nucleotide polymorphism (SNP) rs16969968/rs1051730. We included 231,020 participants from 22 population-based studies. Observational analyses showed that current vs never smokers had lower risk of hay fever (odds ratio (OR) = 0·68, 95% confidence interval (CI): 0·61, 0·76; P

Published
2017
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21. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits

Author

Anne E. Justice, Thomas W. Winkler, Mary F. Feitosa, Misa Graff, Virginia A. Fisher, Kristin Young, Llilda Barata, Xuan Deng, Jacek Czajkowski, David Hadley, Julius S. Ngwa, Tarunveer S. Ahluwalia, Audrey Y. Chu, Nancy L. Heard-Costa, Elise Lim, Jeremiah Perez, John D. Eicher, Zoltán Kutalik, Luting Xue, Anubha Mahajan, Frida Renström, Joseph Wu, Qibin Qi, Shafqat Ahmad, Tamuno Alfred, Najaf Amin, Lawrence F. Bielak, Amelie Bonnefond, Jennifer Bragg, Gemma Cadby, Martina Chittani, Scott Coggeshall, Tanguy Corre, Nese Direk, Joel Eriksson, Krista Fischer, Mathias Gorski, Marie Neergaard Harder, Momoko Horikoshi, Tao Huang, Jennifer E. Huffman, Anne U. Jackson, Johanne Marie Justesen, Stavroula Kanoni, Leena Kinnunen, Marcus E. Kleber, Pirjo Komulainen, Meena Kumari, Unhee Lim, Jian'an Luan, Leo-Pekka Lyytikäinen, Massimo Mangino, Ani Manichaikul, Jonathan Marten, Rita P. S. Middelberg, Martina Müller-Nurasyid, Pau Navarro, Louis Pérusse, Natalia Pervjakova, Cinzia Sarti, Albert Vernon Smith, Jennifer A. Smith, Alena Stančáková, Rona J. Strawbridge, Heather M. Stringham, Yun Ju Sung, Toshiko Tanaka, Alexander Teumer, Stella Trompet, Sander W. van der Laan, Peter J. van der Most, Jana V. Van Vliet-Ostaptchouk, Sailaja L. Vedantam, Niek Verweij, Jacqueline M. Vink, Veronique Vitart, Ying Wu, Loic Yengo, Weihua Zhang, Jing Hua Zhao, Martina E. Zimmermann, Niha Zubair, Gonçalo R. Abecasis, Linda S. Adair, Saima Afaq, Uzma Afzal, Stephan J. L. Bakker, Traci M. Bartz, John Beilby, Richard N. Bergman, Sven Bergmann, Reiner Biffar, John Blangero, Eric Boerwinkle, Lori L. Bonnycastle, Erwin Bottinger, Daniele Braga, Brendan M. Buckley, Steve Buyske, Harry Campbell, John C. Chambers, Francis S. Collins, Joanne E. Curran, Gert J. de Borst, Anton J. M. de Craen, Eco J. C. de Geus, George Dedoussis, Graciela E. Delgado, Hester M. den Ruijter, Gudny Eiriksdottir, Anna L. Eriksson, Tõnu Esko, Jessica D. Faul, Ian Ford, Terrence Forrester, Karl Gertow, Bruna Gigante, Nicola Glorioso, Jian Gong, Harald Grallert, Tanja B. Grammer, Niels Grarup, Saskia Haitjema, Göran Hallmans, Anders Hamsten, Torben Hansen, Tamara B. Harris, Catharina A. Hartman, Maija Hassinen, Nicholas D. Hastie, Andrew C. Heath, Dena Hernandez, Lucia Hindorff, Lynne J. Hocking, Mette Hollensted, Oddgeir L. Holmen, Georg Homuth, Jouke Jan Hottenga, Jie Huang, Joseph Hung, Nina Hutri-Kähönen, Erik Ingelsson, Alan L. James, John-Olov Jansson, Marjo-Riitta Jarvelin, Min A. Jhun, Marit E. Jørgensen, Markus Juonala, Mika Kähönen, Magnus Karlsson, Heikki A. Koistinen, Ivana Kolcic, Genovefa Kolovou, Charles Kooperberg, Bernhard K. Krämer, Johanna Kuusisto, Kirsti Kvaløy, Timo A. Lakka, Claudia Langenberg, Lenore J. Launer, Karin Leander, Nanette R. Lee, Lars Lind, Cecilia M. Lindgren, Allan Linneberg, Stephane Lobbens, Marie Loh, Mattias Lorentzon, Robert Luben, Gitta Lubke, Anja Ludolph-Donislawski, Sara Lupoli, Pamela A. F. Madden, Reija Männikkö, Pedro Marques-Vidal, Nicholas G. Martin, Colin A. McKenzie, Barbara McKnight, Dan Mellström, Cristina Menni, Grant W. Montgomery, AW (Bill) Musk, Narisu Narisu, Matthias Nauck, Ilja M. Nolte, Albertine J. Oldehinkel, Matthias Olden, Ken K. Ong, Sandosh Padmanabhan, Patricia A. Peyser, Charlotta Pisinger, David J. Porteous, Olli T. Raitakari, Tuomo Rankinen, D. C. Rao, Laura J. Rasmussen-Torvik, Rajesh Rawal, Treva Rice, Paul M. Ridker, Lynda M. Rose, Stephanie A. Bien, Igor Rudan, Serena Sanna, Mark A. Sarzynski, Naveed Sattar, Kai Savonen, David Schlessinger, Salome Scholtens, Claudia Schurmann, Robert A. Scott, Bengt Sennblad, Marten A. Siemelink, Günther Silbernagel, P Eline Slagboom, Harold Snieder, Jan A. Staessen, David J. Stott, Morris A. Swertz, Amy J. Swift, Kent D. Taylor, Bamidele O. Tayo, Barbara Thorand, Dorothee Thuillier, Jaakko Tuomilehto, Andre G. Uitterlinden, Liesbeth Vandenput, Marie-Claude Vohl, Henry Völzke, Judith M. Vonk, Gérard Waeber, Melanie Waldenberger, R. G. J. Westendorp, Sarah Wild, Gonneke Willemsen, Bruce H. R. Wolffenbuttel, Andrew Wong, Alan F. Wright, Wei Zhao, M Carola Zillikens, Damiano Baldassarre, Beverley Balkau, Stefania Bandinelli, Carsten A. Böger, Dorret I. Boomsma, Claude Bouchard, Marcel Bruinenberg, Daniel I. Chasman, Yii-DerIda Chen, Peter S. Chines, Richard S. Cooper, Francesco Cucca, Daniele Cusi, Ulf de Faire, Luigi Ferrucci, Paul W. Franks, Philippe Froguel, Penny Gordon-Larsen, Hans- Jörgen Grabe, Vilmundur Gudnason, Christopher A. Haiman, Caroline Hayward, Kristian Hveem, Andrew D. Johnson, J Wouter Jukema, Sharon L. R. Kardia, Mika Kivimaki, Jaspal S. Kooner, Diana Kuh, Markku Laakso, Terho Lehtimäki, Loic Le Marchand, Winfried März, Mark I. McCarthy, Andres Metspalu, Andrew P. Morris, Claes Ohlsson, Lyle J. Palmer, Gerard Pasterkamp, Oluf Pedersen, Annette Peters, Ulrike Peters, Ozren Polasek, Bruce M. Psaty, Lu Qi, Rainer Rauramaa, Blair H. Smith, Thorkild I. A. Sørensen, Konstantin Strauch, Henning Tiemeier, Elena Tremoli, Pim van der Harst, Henrik Vestergaard, Peter Vollenweider, Nicholas J. Wareham, David R. Weir, John B. Whitfield, James F. Wilson, Jessica Tyrrell, Timothy M. Frayling, Inês Barroso, Michael Boehnke, Panagiotis Deloukas, Caroline S. Fox, Joel N. Hirschhorn, David J. Hunter, Tim D. Spector, David P. Strachan, Cornelia M. van Duijn, Iris M. Heid, Karen L. Mohlke, Jonathan Marchini, Ruth J. F. Loos, Tuomas O. Kilpeläinen, Ching-Ti Liu, Ingrid B. Borecki, Kari E. North, and L Adrienne Cupples

Subjects
Science
Abstract

Genome-wide association studies (GWAS) have become a key tool to discover genetic markers for complex traits; however, environmental factors that interact with genes are rarely considered. Here, the authors conduct a GWAS of obesity traits, and find that smoking may alter genetic susceptibilities.

Published
2017
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22. Editorial: Novel Biomarkers for Type 2 Diabetes

Author

Tarunveer S. Ahluwalia, Tuomas O. Kilpeläinen, Sandeep Singh, and Peter Rossing

Subjects
type 2 diabetes, biomarker, omics, data science, personalized medicine, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Published
2019
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24. A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape

Author

Janina S. Ried, Janina Jeff M., Audrey Y. Chu, Jennifer L. Bragg-Gresham, Jenny van Dongen, Jennifer E. Huffman, Tarunveer S. Ahluwalia, Gemma Cadby, Niina Eklund, Joel Eriksson, Tõnu Esko, Mary F. Feitosa, Anuj Goel, Mathias Gorski, Caroline Hayward, Nancy L. Heard-Costa, Anne U. Jackson, Eero Jokinen, Stavroula Kanoni, Kati Kristiansson, Zoltán Kutalik, Jari Lahti, Jian'an Luan, Reedik Mägi, Anubha Mahajan, Massimo Mangino, Carolina Medina-Gomez, Keri L. Monda, Ilja M. Nolte, Louis Pérusse, Inga Prokopenko, Lu Qi, Lynda M. Rose, Erika Salvi, Megan T. Smith, Harold Snieder, Alena Stančáková, Yun Ju Sung, Ioanna Tachmazidou, Alexander Teumer, Gudmar Thorleifsson, Pim van der Harst, Ryan W. Walker, Sophie R. Wang, Sarah H. Wild, Sara M. Willems, Andrew Wong, Weihua Zhang, Eva Albrecht, Alexessander Couto Alves, Stephan J. L. Bakker, Cristina Barlassina, Traci M. Bartz, John Beilby, Claire Bellis, Richard N. Bergman, Sven Bergmann, John Blangero, Matthias Blüher, Eric Boerwinkle, Lori L. Bonnycastle, Stefan R. Bornstein, Marcel Bruinenberg, Harry Campbell, Yii-Der Ida Chen, Charleston W. K. Chiang, Peter S. Chines, Francis S Collins, Fracensco Cucca, L Adrienne Cupples, Francesca D’Avila, Eco J .C. de Geus, George Dedoussis, Maria Dimitriou, Angela Döring, Johan G. Eriksson, Aliki-Eleni Farmaki, Martin Farrall, Teresa Ferreira, Krista Fischer, Nita G. Forouhi, Nele Friedrich, Anette Prior Gjesing, Nicola Glorioso, Mariaelisa Graff, Harald Grallert, Niels Grarup, Jürgen Gräßler, Jagvir Grewal, Anders Hamsten, Marie Neergaard Harder, Catharina A. Hartman, Maija Hassinen, Nicholas Hastie, Andrew Tym Hattersley, Aki S. Havulinna, Markku Heliövaara, Hans Hillege, Albert Hofman, Oddgeir Holmen, Georg Homuth, Jouke-Jan Hottenga, Jennie Hui, Lise Lotte Husemoen, Pirro G. Hysi, Aaron Isaacs, Till Ittermann, Shapour Jalilzadeh, Alan L. James, Torben Jørgensen, Pekka Jousilahti, Antti Jula, Johanne Marie Justesen, Anne E. Justice, Mika Kähönen, Maria Karaleftheri, Kay Tee Khaw, Sirkka M. Keinanen-Kiukaanniemi, Leena Kinnunen, Paul B. Knekt, Heikki A. Koistinen, Ivana Kolcic, Ishminder K. Kooner, Seppo Koskinen, Peter Kovacs, Theodosios Kyriakou, Tomi Laitinen, Claudia Langenberg, Alexandra M. Lewin, Peter Lichtner, Cecilia M. Lindgren, Jaana Lindström, Allan Linneberg, Roberto Lorbeer, Mattias Lorentzon, Robert Luben, Valeriya Lyssenko, Satu Männistö, Paolo Manunta, Irene Mateo Leach, Wendy L. McArdle, Barbara Mcknight, Karen L. Mohlke, Evelin Mihailov, Lili Milani, Rebecca Mills, May E. Montasser, Andrew P. Morris, Gabriele Müller, Arthur W. Musk, Narisu Narisu, Ken K. Ong, Ben A. Oostra, Clive Osmond, Aarno Palotie, James S. Pankow, Lavinia Paternoster, Brenda W. Penninx, Irene Pichler, Maria G. Pilia, Ozren Polašek, Peter P. Pramstaller, Olli T Raitakari, Tuomo Rankinen, D. C. Rao, Nigel W. Rayner, Rasmus Ribel-Madsen, Treva K. Rice, Marcus Richards, Paul M. Ridker, Fernando Rivadeneira, Kathy A. Ryan, Serena Sanna, Mark A. Sarzynski, Salome Scholtens, Robert A. Scott, Sylvain Sebert, Lorraine Southam, Thomas Hempel Sparsø, Valgerdur Steinthorsdottir, Kathleen Stirrups, Ronald P. Stolk, Konstantin Strauch, Heather M. Stringham, Morris A. Swertz, Amy J. Swift, Anke Tönjes, Emmanouil Tsafantakis, Peter J. van der Most, Jana V. Van Vliet-Ostaptchouk, Liesbeth Vandenput, Erkki Vartiainen, Cristina Venturini, Niek Verweij, Jorma S. Viikari, Veronique Vitart, Marie-Claude Vohl, Judith M. Vonk, Gérard Waeber, Elisabeth Widén, Gonneke Willemsen, Tom Wilsgaard, Thomas W. Winkler, Alan F. Wright, Laura M. Yerges-Armstrong, Jing Hua Zhao, M. Carola Zillikens, Dorret I. Boomsma, Claude Bouchard, John C. Chambers, Daniel I. Chasman, Daniele Cusi, Ron T. Gansevoort, Christian Gieger, Torben Hansen, Andrew A. Hicks, Frank Hu, Kristian Hveem, Marjo-Riitta Jarvelin, Eero Kajantie, Jaspal S. Kooner, Diana Kuh, Johanna Kuusisto, Markku Laakso, Timo A. Lakka, Terho Lehtimäki, Andres Metspalu, Inger Njølstad, Claes Ohlsson, Albertine J. Oldehinkel, Lyle J. Palmer, Oluf Pedersen, Markus Perola, Annette Peters, Bruce M. Psaty, Hannu Puolijoki, Rainer Rauramaa, Igor Rudan, Veikko Salomaa, Peter E. H. Schwarz, Alan R. Shudiner, Jan H. Smit, Thorkild I. A. Sørensen, Timothy D. Spector, Kari Stefansson, Michael Stumvoll, Angelo Tremblay, Jaakko Tuomilehto, André G. Uitterlinden, Matti Uusitupa, Uwe Völker, Peter Vollenweider, Nicholas J. Wareham, Hugh Watkins, James F. Wilson, Eleftheria Zeggini, Goncalo R. Abecasis, Michael Boehnke, Ingrid B. Borecki, Panos Deloukas, Cornelia M. van Duijn, Caroline Fox, Leif C. Groop, Iris M. Heid, David J. Hunter, Robert C. Kaplan, Mark I. McCarthy, Kari E. North, Jeffrey R. O'Connell, David Schlessinger, Unnur Thorsteinsdottir, David P. Strachan, Timothy Frayling, Joel N. Hirschhorn, Martina Müller-Nurasyid, and Ruth J. F. Loos

Subjects
Science
Abstract

Past genome-wide associate studies have identified hundreds of genetic loci that influence body size and shape when examined one trait at a time. Here, Jeff and colleagues develop an aggregate score of various body traits, and use meta-analysis to find new loci linked to body shape.

Published
2016
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25. Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels

Author

Tuomas O. Kilpeläinen, Jayne F. Martin Carli, Alicja A. Skowronski, Qi Sun, Jennifer Kriebel, Mary F Feitosa, Åsa K. Hedman, Alexander W. Drong, James E. Hayes, Jinghua Zhao, Tune H. Pers, Ursula Schick, Niels Grarup, Zoltán Kutalik, Stella Trompet, Massimo Mangino, Kati Kristiansson, Marian Beekman, Leo-Pekka Lyytikäinen, Joel Eriksson, Peter Henneman, Jari Lahti, Toshiko Tanaka, Jian’an Luan, Fabiola Del Greco M, Dorota Pasko, Frida Renström, Sara M. Willems, Anubha Mahajan, Lynda M. Rose, Xiuqing Guo, Yongmei Liu, Marcus E. Kleber, Louis Pérusse, Tom Gaunt, Tarunveer S. Ahluwalia, Yun Ju Sung, Yolande F. Ramos, Najaf Amin, Antoinette Amuzu, Inês Barroso, Claire Bellis, John Blangero, Brendan M. Buckley, Stefan Böhringer, Yii-Der I Chen, Anton J. N. de Craen, David R. Crosslin, Caroline E. Dale, Zari Dastani, Felix R. Day, Joris Deelen, Graciela E. Delgado, Ayse Demirkan, Francis M. Finucane, Ian Ford, Melissa E. Garcia, Christian Gieger, Stefan Gustafsson, Göran Hallmans, Susan E. Hankinson, Aki S Havulinna, Christian Herder, Dena Hernandez, Andrew A. Hicks, David J. Hunter, Thomas Illig, Erik Ingelsson, Andreea Ioan-Facsinay, John-Olov Jansson, Nancy S. Jenny, Marit E. Jørgensen, Torben Jørgensen, Magnus Karlsson, Wolfgang Koenig, Peter Kraft, Joanneke Kwekkeboom, Tiina Laatikainen, Karl-Heinz Ladwig, Charles A. LeDuc, Gordon Lowe, Yingchang Lu, Pedro Marques-Vidal, Christa Meisinger, Cristina Menni, Andrew P. Morris, Richard H. Myers, Satu Männistö, Mike A. Nalls, Lavinia Paternoster, Annette Peters, Aruna D. Pradhan, Tuomo Rankinen, Laura J. Rasmussen-Torvik, Wolfgang Rathmann, Treva K. Rice, J Brent Richards, Paul M. Ridker, Naveed Sattar, David B. Savage, Stefan Söderberg, Nicholas J. Timpson, Liesbeth Vandenput, Diana van Heemst, Hae-Won Uh, Marie-Claude Vohl, Mark Walker, Heinz-Erich Wichmann, Elisabeth Widén, Andrew R. Wood, Jie Yao, Tanja Zeller, Yiying Zhang, Ingrid Meulenbelt, Margreet Kloppenburg, Arne Astrup, Thorkild I. A. Sørensen, Mark A. Sarzynski, D. C. Rao, Pekka Jousilahti, Erkki Vartiainen, Albert Hofman, Fernando Rivadeneira, André G. Uitterlinden, Eero Kajantie, Clive Osmond, Aarno Palotie, Johan G. Eriksson, Markku Heliövaara, Paul B. Knekt, Seppo Koskinen, Antti Jula, Markus Perola, Risto K. Huupponen, Jorma S. Viikari, Mika Kähönen, Terho Lehtimäki, Olli T. Raitakari, Dan Mellström, Mattias Lorentzon, Juan P. Casas, Stefanie Bandinelli, Winfried März, Aaron Isaacs, Ko W. van Dijk, Cornelia M. van Duijn, Tamara B. Harris, Claude Bouchard, Matthew A. Allison, Daniel I. Chasman, Claes Ohlsson, Lars Lind, Robert A. Scott, Claudia Langenberg, Nicholas J. Wareham, Luigi Ferrucci, Timothy M. Frayling, Peter P. Pramstaller, Ingrid B. Borecki, Dawn M. Waterworth, Sven Bergmann, Gérard Waeber, Peter Vollenweider, Henrik Vestergaard, Torben Hansen, Oluf Pedersen, Frank B. Hu, P Eline Slagboom, Harald Grallert, Tim D. Spector, J.W. Jukema, Robert J. Klein, Erik E Schadt, Paul W. Franks, Cecilia M. Lindgren, Rudolph L. Leibel, and Ruth J. F. Loos

Subjects
Science
Abstract

This meta-analysis of genome-wide association studies identifies four genetic loci associated with circulating leptin levels independent of adiposity. Examination in mouse adipose tissue explants provides functional support for the leptin-associated loci.

Published
2016
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26. Meta-analysis of exome array data identifies six novel genetic loci for lung function [version 3; referees: 2 approved]

Author

Victoria E. Jackson, Jeanne C. Latourelle, Louise V. Wain, Albert V. Smith, Megan L. Grove, Traci M. Bartz, Ma'en Obeidat, Michael A. Province, Wei Gao, Beenish Qaiser, David J. Porteous, Patricia A. Cassano, Tarunveer S. Ahluwalia, Niels Grarup, Jin Li, Elisabeth Altmaier, Jonathan Marten, Sarah E. Harris, Ani Manichaikul, Tess D. Pottinger, Ruifang Li-Gao, Allan Lind-Thomsen, Anubha Mahajan, Lies Lahousse, Medea Imboden, Alexander Teumer, Bram Prins, Leo-Pekka Lyytikäinen, Gudny Eiriksdottir, Nora Franceschini, Colleen M. Sitlani, Jennifer A. Brody, Yohan Bossé, Wim Timens, Aldi Kraja, Anu Loukola, Wenbo Tang, Yongmei Liu, Jette Bork-Jensen, Johanne M. Justesen, Allan Linneberg, Leslie A. Lange, Rajesh Rawal, Stefan Karrasch, Jennifer E. Huffman, Blair H. Smith, Gail Davies, Kristin M. Burkart, Josyf C. Mychaleckyj, Tobias N. Bonten, Stefan Enroth, Lars Lind, Guy G. Brusselle, Ashish Kumar, Beate Stubbe, Understanding Society Scientific Group, Mika Kähönen, Annah B. Wyss, Bruce M. Psaty, Susan R. Heckbert, Ke Hao, Taina Rantanen, Stephen B. Kritchevsky, Kurt Lohman, Tea Skaaby, Charlotta Pisinger, Torben Hansen, Holger Schulz, Ozren Polasek, Archie Campbell, John M. Starr, Stephen S. Rich, Dennis O. Mook-Kanamori, Åsa Johansson, Erik Ingelsson, André G. Uitterlinden, Stefan Weiss, Olli T. Raitakari, Vilmundur Gudnason, Kari E. North, Sina A. Gharib, Don D. Sin, Kent D. Taylor, George T. O'Connor, Jaakko Kaprio, Tamara B. Harris, Oluf Pederson, Henrik Vestergaard, James G. Wilson, Konstantin Strauch, Caroline Hayward, Shona Kerr, Ian J. Deary, R. Graham Barr, Renée de Mutsert, Ulf Gyllensten, Andrew P. Morris, M. Arfan Ikram, Nicole Probst-Hensch, Sven Gläser, Eleftheria Zeggini, Terho Lehtimäki, David P. Strachan, Josée Dupuis, Alanna C. Morrison, Ian P. Hall, Martin D. Tobin, and Stephanie J. London

Subjects
Genomics, Medicine, Science
Abstract

Background: Over 90 regions of the genome have been associated with lung function to date, many of which have also been implicated in chronic obstructive pulmonary disease. Methods: We carried out meta-analyses of exome array data and three lung function measures: forced expiratory volume in one second (FEV1), forced vital capacity (FVC) and the ratio of FEV1 to FVC (FEV1/FVC). These analyses by the SpiroMeta and CHARGE consortia included 60,749 individuals of European ancestry from 23 studies, and 7,721 individuals of African Ancestry from 5 studies in the discovery stage, with follow-up in up to 111,556 independent individuals. Results: We identified significant (P

Published
2018
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27. Meta-analysis of exome array data identifies six novel genetic loci for lung function [version 2; referees: 2 approved]

Author

Victoria E. Jackson, Jeanne C. Latourelle, Louise V. Wain, Albert V. Smith, Megan L. Grove, Traci M. Bartz, Ma'en Obeidat, Michael A. Province, Wei Gao, Beenish Qaiser, David J. Porteous, Patricia A. Cassano, Tarunveer S. Ahluwalia, Niels Grarup, Jin Li, Elisabeth Altmaier, Jonathan Marten, Sarah E. Harris, Ani Manichaikul, Tess D. Pottinger, Ruifang Li-Gao, Allan Lind-Thomsen, Anubha Mahajan, Lies Lahousse, Medea Imboden, Alexander Teumer, Bram Prins, Leo-Pekka Lyytikäinen, Gudny Eiriksdottir, Nora Franceschini, Colleen M. Sitlani, Jennifer A. Brody, Yohan Bossé, Wim Timens, Aldi Kraja, Anu Loukola, Wenbo Tang, Yongmei Liu, Jette Bork-Jensen, Johanne M. Justesen, Allan Linneberg, Leslie A. Lange, Rajesh Rawal, Stefan Karrasch, Jennifer E. Huffman, Blair H. Smith, Gail Davies, Kristin M. Burkart, Josyf C. Mychaleckyj, Tobias N. Bonten, Stefan Enroth, Lars Lind, Guy G. Brusselle, Ashish Kumar, Beate Stubbe, Understanding Society Scientific Group, Mika Kähönen, Annah B. Wyss, Bruce M. Psaty, Susan R. Heckbert, Ke Hao, Taina Rantanen, Stephen B. Kritchevsky, Kurt Lohman, Tea Skaaby, Charlotta Pisinger, Torben Hansen, Holger Schulz, Ozren Polasek, Archie Campbell, John M. Starr, Stephen S. Rich, Dennis O. Mook-Kanamori, Åsa Johansson, Erik Ingelsson, André G. Uitterlinden, Stefan Weiss, Olli T. Raitakari, Vilmundur Gudnason, Kari E. North, Sina A. Gharib, Don D. Sin, Kent D. Taylor, George T. O'Connor, Jaakko Kaprio, Tamara B. Harris, Oluf Pederson, Henrik Vestergaard, James G. Wilson, Konstantin Strauch, Caroline Hayward, Shona Kerr, Ian J. Deary, R. Graham Barr, Renée de Mutsert, Ulf Gyllensten, Andrew P. Morris, M. Arfan Ikram, Nicole Probst-Hensch, Sven Gläser, Eleftheria Zeggini, Terho Lehtimäki, David P. Strachan, Josée Dupuis, Alanna C. Morrison, Ian P. Hall, Martin D. Tobin, and Stephanie J. London

Subjects
Genomics, Medicine, Science
Abstract

Background: Over 90 regions of the genome have been associated with lung function to date, many of which have also been implicated in chronic obstructive pulmonary disease. Methods: We carried out meta-analyses of exome array data and three lung function measures: forced expiratory volume in one second (FEV1), forced vital capacity (FVC) and the ratio of FEV1 to FVC (FEV1/FVC). These analyses by the SpiroMeta and CHARGE consortia included 60,749 individuals of European ancestry from 23 studies, and 7,721 individuals of African Ancestry from 5 studies in the discovery stage, with follow-up in up to 111,556 independent individuals. Results: We identified significant (P

Published
2018
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29. Urinary Proteomics Identifies Cathepsin D as a Biomarker of Rapid eGFR Decline in Type 1 Diabetes

Author

Christine P, Limonte, Erkka, Valo, Viktor, Drel, Loki, Natarajan, Manjula, Darshi, Carol, Forsblom, Clark M, Henderson, Andrew N, Hoofnagle, Wenjun, Ju, Matthias, Kretzler, Daniel, Montemayor, Viji, Nair, Robert G, Nelson, John F, O'Toole, Robert D, Toto, Sylvia E, Rosas, John, Ruzinski, Niina, Sandholm, Insa M, Schmidt, Tomas, Vaisar, Sushrut S, Waikar, Jing, Zhang, Peter, Rossing, Tarunveer S, Ahluwalia, Per-Henrik, Groop, Subramaniam, Pennathur, Janet K, Snell-Bergeon, Tina, Costacou, Trevor J, Orchard, Kumar, Sharma, Ian H, de Boer, HUS Internal Medicine and Rehabilitation, HUS Abdominal Center, CAMM - Research Program for Clinical and Molecular Metabolism, University of Helsinki, Nefrologian yksikkö, Institute for Molecular Medicine Finland, Research Programs Unit, Medicum, Doctoral Programme in Clinical Research, Department of Medicine, Per Henrik Groop / Principal Investigator, and Clinicum

Subjects
Proteomics, Advanced and Specialized Nursing, Endocrinology, Diabetes and Metabolism, Cathepsin D, Cohort Studies, Mice, Diabetes Mellitus, Type 1, 3121 General medicine, internal medicine and other clinical medicine, Case-Control Studies, Disease Progression, Internal Medicine, Albuminuria, Animals, Humans, Diabetic Nephropathies, Pathophysiology/Complications, Biomarkers, Glomerular Filtration Rate
Abstract

OBJECTIVE Understanding mechanisms underlying rapid estimated glomerular filtration rate (eGFR) decline is important to predict and treat kidney disease in type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS We performed a case-control study nested within four T1D cohorts to identify urinary proteins associated with rapid eGFR decline. Case and control subjects were categorized based on eGFR decline ≥3 and RESULTS The cohort study included 1,270 participants followed a median 8 years. In the discovery set, only cathepsin D peptide and protein were significant on full adjustment for clinical and laboratory variables. In the validation set, associations of cathepsin D with eGFR decline were replicated in minimally adjusted models but lost significance with adjustment for albuminuria. In a meta-analysis with combination of discovery and validation sets, the odds ratio for the association of cathepsin D with rapid eGFR decline was 1.29 per SD (95% CI 1.07–1.55). In complementary human cohorts, urine cathepsin D was associated with tubulointerstitial injury and tubulointerstitial cathepsin D expression was associated with increased cortical interstitial fractional volume. In mouse proximal tubular epithelial cell cultures, advanced glycation end product–BSA increased cathepsin D activity and inflammatory and tubular injury markers, which were further increased with cathepsin D siRNA. CONCLUSIONS Urine cathepsin D is associated with rapid eGFR decline in T1D and reflects kidney tubulointerstitial injury.

Published
2022

30. Genome-wide study of early and severe childhood asthma identifies interaction between CDHR3 and GSDMB

Author

Anders U. Eliasen, Casper Emil T. Pedersen, Morten A. Rasmussen, Ni Wang, Matteo Soverini, Amelie Fritz, Jakob Stokholm, Bo L. Chawes, Andréanne Morin, Jette Bork-Jensen, Niels Grarup, Oluf Pedersen, Torben Hansen, Allan Linneberg, Preben B. Mortensen, David M. Hougaard, Jonas Bybjerg-Grauholm, Marie Bækvad-Hansen, Ole Mors, Merete Nordentoft, Anders D. Børglum, Thomas Werge, Esben Agerbo, Cilla Söderhall, Matthew C. Altman, Anna H. Thysen, Chris G. McKennan, Susanne Brix, James E. Gern, Carole Ober, Tarunveer S. Ahluwalia, Hans Bisgaard, Anders G. Pedersen, and Klaus Bønnelykke

Subjects
Pore Forming Cytotoxic Proteins, genetic interactions, Interleukin-17, Immunology, Cadherin Related Proteins, Membrane Proteins, Cadherins, Early-life, Polymorphism, Single Nucleotide, Asthma, Neoplasm Proteins, Childhood asthma, immunology, Humans, Immunology and Allergy, early life, Genetic Predisposition to Disease, Genome-Wide Association Study
Abstract

Background: Asthma with severe exacerbation is one of the most common causes of hospitalization among young children. Exacerbations are typically triggered by respiratory infections, but the host factors causing recurrent infections and exacerbations in some children are poorly understood. As a result, current treatment options and preventive measures are inadequate. Objective: To identify genetic interaction associated with the development of childhood asthma. Methods: We performed an exhaustive search for pairwise interaction between genetic variants, single nucleotide polymorphisms (SNPs), using 1204 cases with a specific phenotype of early childhood asthma with severe exacerbations (age 2-6 years) combined with 5328 non-asthmatic controls. Replication was attempted in 3 independent populations, and potential underlying immune mechanisms were investigated in the COPSAC2010 and COPSAC2000 birth cohorts. Results: We found evidence of interaction, including replication in independent populations, between the known childhood asthma loci, CDHR3 and GSDMB. The effect of CDHR3 was dependent on the GSDMB genotype and this interaction was more pronounced for severe and early onset of disease. Blood immune analyses suggested a mechanism related to increased IL-17A production after viral stimulation. Conclusions: We found evidence of interaction between CDHR3 and GSDMB in development of early childhood asthma, possibly related to increased IL-17A response to viral infections. This study demonstrates the importance of focusing on specific disease subtypes for understanding the genetic mechanisms of asthma.

Published
2022

31. The Low-Expression Variant of FABP4 Is Associated With Cardiovascular Disease in Type 1 Diabetes

Author

Peter Rossing, Niina Sandholm, Nicoline Uglebjerg, Carol Forsblom, Perttu J. Lindsberg, Tarunveer S. Ahluwalia, Emma H. Dahlström, Valma Harjutsalo, Lena M. Thorn, Per-Henrik Groop, Nina Mars, Jani Saksi, HUS Internal Medicine and Rehabilitation, HUS Abdominal Center, Nefrologian yksikkö, CAMM - Research Program for Clinical and Molecular Metabolism, Research Programs Unit, HUS Neurocenter, Neurologian yksikkö, Institute for Molecular Medicine Finland, Complex Disease Genetics, Department of General Practice and Primary Health Care, Department of Neurosciences, Clinicum, Medicum, Department of Medicine, and Per Henrik Groop / Principal Investigator

Subjects
Oncology, medicine.medical_specialty, ADIPOCYTE, NEPHROPATHY, Endocrinology, Diabetes and Metabolism, Population, 030209 endocrinology & metabolism, Genome-wide association study, ACID-BINDING PROTEIN, Disease, Nephropathy, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Mendelian randomization, Internal Medicine, medicine, GENOME-WIDE ASSOCIATION, education, AP2, 030304 developmental biology, RISK, 0303 health sciences, Type 1 diabetes, education.field_of_study, business.industry, MORTALITY, medicine.disease, Obesity, 3. Good health, PREECLAMPSIA, OBESITY, 3121 General medicine, internal medicine and other clinical medicine, HEART, business, Kidney disease
Abstract

Fatty-acid binding protein 4 (FABP4) is implicated in the pathogenesis of cardiometabolic disorders. Pharmacological inhibition or genetic deletion of FABP4 improves cardiometabolic health and protects against atherosclerosis in preclinical models. As cardiovascular disease (CVD) is common in type 1 diabetes, we examined the role of FABP4 for the development of complications in type 1 diabetes, focusing on a functional, low-expression, variant (rs77878271) in the promoter of the FABP4 gene. For this, we assessed the risk of CVD, stroke, coronary artery disease (CAD), end-stage kidney disease (ESKD), and mortality using Cox proportional-hazard models for the FABP4 rs77878271 in 5,077 Finnish individuals with type 1 diabetes. The low-expression G-allele of rs77878271 increased the risk of CVD, independently of confounders. Findings were tested for replication in 852 Danish and 3,678 Finnish individuals with type 1 diabetes. In the meta-analysis, each G-allele increased the risk of stroke by 26% (p=0.04), CAD by 26% (p=0.006), and CVD by 17% (p=0.003). In Mendelian Randomization, a decrease in FABP4 increased CAD 2.4-fold. Hence, in contrast to the general population, the low-expression G-allele of rs77878271 increased CVD risk in type 1 diabetes, suggesting that genetically low FABP4 levels may be detrimental in the context of type 1 diabetes.

Published
2021

32. Genome-wide association study of circulating interleukin 6 levels identifies novel loci

Author

Martina Müller-Nurasyid, Jerome I. Rotter, David M. Evans, John P. Kemp, Emelia J. Benjamin, Graciela E. Delgado, Vilmundur Gudnason, Ann Hammarstedt, Panos Deloukas, Aroon D. Hingorani, Riccardo E. Marioni, David Stacey, Jenny van Dongen, Eric Boerwinkle, Joachim Heinrich, Yongmei Liu, S. Goya Wannamethee, Delilah Zabaneh, Braxton D. Mitchell, Marie Standl, Jackie F. Price, Maria G. Stathopoulou, Yoav Ben-Shlomo, Joris Deelen, Eero Kajantie, Mohammadreza Abdollahi, Christie M. Ballantyne, Johan G. Eriksson, Ilkka Seppälä, Elnaz Naderi, Barbara J. Jefferis, Richard W Morris, Nicholas J. Timpson, George Dedoussis, Sirpa Jalkanen, Mika Kivimäki, Perminder S. Sachdev, Diana van Heemst, Melanie Waldenberger, Gaurav Singhal, Elisabeth Thiering, Olli T. Raitakari, Anders Hamsten, Zoltán Kutalik, L. Bain, Eco J. C. de Geus, Tarunveer S. Ahluwalia, Yuri Milaneschi, Hubert Scharnagl, Juan P. Casas, Georg Homuth, Claes Ohlsson, Abbas Dehghan, Nicola J. Armstrong, Behrooz Z. Alizadeh, Terho Lehtimäki, Steve E. Humphries, Naveed Sattar, Bram P. Prins, Peter Rossing, Sophie Visvikis-Siest, Joana A. Revez, Ilja M. Nolte, Stella Trompet, Harold Snieder, Marian Beekman, Diana Marek, Beate St Pourcain, Thorkild I. A. Sørensen, Silvia Naitza, Karen A. Mather, Uwe Völker, Eline Slagboom, Tina Shah, Magdalene C. Jawahar, Jens Baumert, Alexander Teumer, Dorret I. Boomsma, Marcus E. Kleber, Peter Vollenweider, Wolfgang Koenig, Brenda W.J.H. Penninx, Kenneth Rice, Ian J. Deary, Pedro Marques-Vidal, Donna K. Arnett, Eleonora Porcu, Jouke-Jan Hottenga, Maria Sabater-Lleal, Bruce M. Psaty, Matthias Nauck, Dan Mellström, Joel Eriksson, Bernhard T. Baune, Debbie A Lawlor, Catherine Toben, Peter H. Whincup, Toshiko Tanaka, Stavroula Kanoni, Katri Räikkönen, Gonneke Willemsen, Bengt Sennblad, Julian N. Trollor, Yalda Jamshidi, Sarah E. Harris, Jari Lahti, Joshua C. Bis, Peter Durda, Yen Pei C. Chang, Jorgen Engmann, Tom R. Gaunt, Stella Aslibekyan, Anbupalam Thalamuthu, Mary F. Feitosa, Angela Silveira, Tine Jess, Stela McLachlan, J. Wouter Jukema, Chen Lu, Simon P. Mooijaart, Tim D. Spector, Harald Grallert, Winfried März, Alexandros M. Petrelis, Manuel A. R. Ferreira, Meena Kumari, Stochastics, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, APH - Mental Health, APH - Methodology, CHARGE Inflammation Working Group, Epidemiology, Tampere University, Department of Clinical Chemistry, Clinical Medicine, Steno Diabetes Center, University of Copenhagen = Københavns Universitet (KU), University of Groningen [Groningen], Murdoch University, University of Alabama at Birmingham [ Birmingham] (UAB), QIMR Berghofer Medical Research Institute, University College of London [London] (UCL), Helmholtz-Zentrum München (HZM), Leiden University Medical Center (LUMC), University of Bristol [Bristol], University of Washington [Seattle], University of Maryland School of Medicine, University of Maryland System, Vrije Universiteit Amsterdam [Amsterdam] (VU), VU University Medical Center [Amsterdam], University of Heidelberg, Medical Faculty, Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne (UNIL), Sahlgrenska Academy at University of Gothenburg [Göteborg], National Institute for Health and Welfare [Helsinki], University of Helsinki, William Harvey Research Institute, Barts and the London Medical School, University of Queensland [Brisbane], School of Public Health [Boston], Boston University [Boston] (BU), MRC Institute of Genetics and Molecular Medicine [Edinburgh] (IGMM), University of Edinburgh-Medical Research Council, University of Edinburgh, Amsterdam UMC, Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche [Roma] (CNR), Karolinska Institutet [Stockholm], University of Tampere [Finland], Adelaide Medical School [Australia], University of Adelaide, Universität Greifswald - University of Greifswald, University of New South Wales [Sydney] (UNSW), Prince of Wales Hospital, Ludwig-Maximilians-Universität München (LMU), Baylor College of Medicine (BCM), Baylor University, Boston University School of Medicine (BUSM), VA Boston Healthcare System, Harokopio University of Athens, Max planck Institute for Biology of Ageing [Cologne], Larner College of Medicine [University of Vermont, Burlington], University of Vermont [Burlington], Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-Universität Greifswald, University of Turku, St George's, University of London, Statens Serum Institut [Copenhagen], Medical Faculty [Mannheim], Wake Forest School of Medicine [Winston-Salem], Wake Forest Baptist Medical Center, Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), Johannes Gutenberg - Universität Mainz (JGU), Vrije Universiteit Medical Centre (VUMC), British Heart Foundation Glasgow Cardiovascular Research Centre (BHF GCRC), University of Glasgow-NHS Greater Glasgow and Clyde, Medical University Graz, Uppsala Universitet [Uppsala], Max Planck Institute for Psycholinguistics, Max-Planck-Gesellschaft, Donders Institute for Brain, Cognition and Behaviour, Radboud university [Nijmegen], University of Kentucky, Melbourne Medical School [Melbourne], Faculty of Medicine, Dentistry and Health Sciences [Melbourne], University of Melbourne-University of Melbourne, University Hospital Münster - Universitaetsklinikum Muenster [Germany] (UKM), University of Maryland [Baltimore], Queen Mary University of London (QMUL), University of Iceland [Reykjavik], Ludwig Maximilian University [Munich] (LMU), Melbourne School of Population and Global Health [Melbourne], University of Melbourne, Deutsches Herzzentrum München (DHM), German Center for Cardiovascular Research (DZHK), Berlin Institute of Health (BIH), University of Ulm (UUlm), University of Essex, Greifswald University Hospital, Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), King‘s College London, University of Cambridge [UK] (CAM), Harbor UCLA Medical Center [Torrance, Ca.], Erasmus University Medical Center [Rotterdam] (Erasmus MC), University of Texas Health Science Center, The University of Texas Health Science Center at Houston (UTHealth), Human Genome Sequencing Center [Houston] (HGSC), Baylor University-Baylor University, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Digital Health, HUS Children and Adolescents, Lastentautien yksikkö, Children's Hospital, Clinicum, Department of Bacteriology and Immunology, Department of Public Health, Department of Psychology and Logopedics, Research Programs Unit, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Doctoral Programme in Human Behaviour, Life Course Epidemiology (LCE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), and Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)

Subjects
AcademicSubjects/SCI01140, [SDV]Life Sciences [q-bio], Genome-wide association study, 030204 cardiovascular system & hematology, DISEASE, Pathogenesis, Cohort Studies, 0302 clinical medicine, cytokine, SYSTEMIC-LUPUS-ERYTHEMATOSUS, Association Studies Article, ComputingMilieux_MISCELLANEOUS, Genetics (clinical), Genetics, 0303 health sciences, ARCHITECTURE, CHRONIC INFLAMMATION, 1184 Genetics, developmental biology, physiology, General Medicine, RECEPTOR IL-6R GENE, C-REACTIVE PROTEIN, hla-drb1 gene, 3. Good health, Medical genetics, Medical Genetics, chromosomes, medicine.medical_specialty, SUSCEPTIBILITY LOCI, European Continental Ancestry Group, Locus (genetics), Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, anti-inflammatory agents, White People, 03 medical and health sciences, medicine, Humans, Genetic Predisposition to Disease, Interleukin 6, Molecular Biology, Medicinsk genetik, 030304 developmental biology, PRODUCE IL-6, Interleukin-6, Chromosome, Receptors, Interleukin-6, RHEUMATOID-ARTHRITIS, Interleukin 1 Receptor Antagonist Protein, Gene Expression Regulation, Genetic Loci, CELLS, biology.protein, 1182 Biochemistry, cell and molecular biology, Human genome, 3111 Biomedicine, Genome-Wide Association Study, HLA-DRB1 Chains, Interleukin-1
Abstract

Interleukin 6 (IL-6) is a multifunctional cytokine with both pro- and anti-inflammatory properties with a heritability estimate of up to 61%. The circulating levels of IL-6 in blood have been associated with an increased risk of complex disease pathogenesis. We conducted a two-staged, discovery and replication meta genome-wide association study (GWAS) of circulating serum IL-6 levels comprising up to 67 428 (ndiscovery = 52 654 and nreplication = 14 774) individuals of European ancestry. The inverse variance fixed effects based discovery meta-analysis, followed by replication led to the identification of two independent loci, IL1F10/IL1RN rs6734238 on chromosome (Chr) 2q14, (Pcombined = 1.8 × 10−11), HLA-DRB1/DRB5 rs660895 on Chr6p21 (Pcombined = 1.5 × 10−10) in the combined meta-analyses of all samples. We also replicated the IL6R rs4537545 locus on Chr1q21 (Pcombined = 1.2 × 10−122). Our study identifies novel loci for circulating IL-6 levels uncovering new immunological and inflammatory pathways that may influence IL-6 pathobiology.

Published
2021

33. Copeptin and renal function decline, cardiovascular events and mortality in type 1 diabetes

Author

Tarunveer S. Ahluwalia, Tine W. Hansen, Jens P. Goetze, Frederik Persson, Jørgen Jeppesen, Simone Theilade, Nete Tofte, Signe Abitz Winther, Niels Søndergaard Heinrich, and Peter Rossing

Subjects
Adult, medicine.medical_specialty, Renal function, 030209 endocrinology & metabolism, 030204 cardiovascular system & hematology, Kidney, 03 medical and health sciences, 0302 clinical medicine, Copeptin, Interquartile range, Internal medicine, medicine, Humans, Prospective Studies, Prospective cohort study, Aged, Transplantation, Type 1 diabetes, business.industry, Proportional hazards model, Hazard ratio, Glycopeptides, Middle Aged, medicine.disease, Diabetes Mellitus, Type 1, Cardiovascular Diseases, Nephrology, Cardiology, business, Biomarkers, Glomerular Filtration Rate, Kidney disease
Abstract

Background Plasma copeptin is a surrogate of arginine vasopressin (AVP) secretion and is associated with a risk of renal and cardiovascular disease. We investigated associations between copeptin and renal events, cardiovascular events and mortality in type 1 diabetes (T1D). Methods We conducted a prospective cohort study on 658 individuals with T1D from Steno Diabetes Center Copenhagen. Plasma copeptin concentrations and conventional risk factors were assessed at baseline. The five endpoints were traced through national registries and electronic laboratory records. Results Baseline mean age was 55 ± 13 years and estimated glomerular filtration rate (eGFR) was 81 ± 26 mL/min/1.73 m2. The median follow-up was 6.2 years (interquartile range 5.8–6.7); 123 participants reached a combined renal endpoint [decline in eGFR ≥30%, end-stage kidney disease (ESKD) or all-cause mortality], 93 had a decrease in eGFR ≥30%, 21 developed ESKD, 94 experienced a combined cardiovascular endpoint and 58 died from all causes. Higher copeptin was associated with all endpoints in unadjusted Cox regression analyses. Upon adjustment for baseline eGFR, the associations were attenuated and remained significant only for the combined renal endpoint and decrease in eGFR ≥30%. Results were similar upon further adjustment for other risk factors, after which hazard ratios for the two renal endpoints were 2.27 (95% confidence interval 1.08–4.74) and 4.49 (1.77–11.4), respectively, for the highest versus the lowest quartile of copeptin. Conclusions Higher copeptin was an independent risk marker for a combined renal endpoint and decline in renal function. AVP may be a marker of renal damage or a factor whose contribution to renal and cardiovascular risk is partially mediated by renal damage.

Published
2020

34. Metabolomic Risk Predictors of Diabetic Foot Complications: a longitudinal observational study

Author

Jonas A. Andersen, Tommi Suvitaival, Kajetan Trošt, Simone Theilade, Ismo Mattila, Anne Rasmussen, Marie Frimodt-Møller, Peter Rossing, Cristina Legido-Quigley, and Tarunveer S. Ahluwalia

Abstract

Diabetic foot complications is a collective term used for the ailments of the foot that individuals with diabetes incur. The different entities of the term diabetic foot complications are closely linked to each other and several of the other complications of diabetes. Despite implementation of national and international preventive guidelines, diabetic foot complications are still a growing challenge to the individual and society in general. This highlights the need for new strategies in the treatment and prevention of diabetic foot complications. The aim of the study was to investigate associations between plasma metabolites and diabetic foot complications (diabetic foot ulcer (DFU), amputations and Charcot’s Arthropathy) in individuals with diabetes type 1. Non targeted plasma metabolites (n=75) were analyzed using mass spectrometry in a cohort comprising 637 individuals (55% male) with diabetes type 1. Cross sectional associations between metabolites and diabetic foot complications was analysed by linear regression at baseline and by Cox proportional hazards model at follow-up and adjusted for relevant confounders. The median follow up time was 10 years, age 55 (47, 64) years, diabetes duration 35 (25, 44) years and HbA1c 64 (56, 72) mmol/mol. In the adjusted model, four amino acids (proline, threonine, valine, and leucine) were associated with decreased incidence of Charcot’s arthropathy at baseline (padjusted< 0.5). In addition, the plasma levels of ribonic acid was associated with an increased risk of diabetic foot ulcers during follow-up (HR 1.38(1.06-1.8) p<0.05). This study identifies novel circulating metabolites, as potential biomarkers for risk of diabetic foot complications.One Sentence SummarySeveral plasma metabolites show promise as risk markers of diabetic foot complications.

Published
2022

35. Urinary Proteomics Identifies Cathepsin D as a Biomarker of Rapid eGFR Decline in Type 1 Diabetes

Author

the Kidney Precision Medicine Project, Ian H. de Boer, Kumar Sharma, Trevor J. Orchard, Tina Costacou, Janet K. Snell-Bergeon, Subramaniam Pennathur, Per-Henrik Groop, Tarunveer S. Ahluwalia, Peter Rossing, Jing Zhang, Sushrut S. Waikar, Tomas Vaisar, Insa M. Schmidt, Niina Sandholm, John Ruzinski, Sylvia E. Rosas, Robert D. Toto, John F. O’Toole, Robert G. Nelson, Viji Nair, Daniel Montemayor, Matthias Kretzler, Wenjun Ju, Andrew N. Hoofnagle, Clark M. Henderson, Carol Forsblom, Manjula Darshi, Loki Natarajan, Viktor Drel, Erkka Valo, and Christine P. Limonte

Abstract

Objective: Understanding mechanisms underlying rapid estimated glomerular filtration rate (eGFR) decline is important to predict and treat kidney disease in type 1 diabetes (T1D). Research Design and Methods: We performed a case-control study nested within four T1D cohorts to identify urinary proteins associated with rapid eGFR decline. Cases and controls were defined by eGFR decline >3 and 2/year, respectively. We used targeted liquid chromatography-tandem mass spectrometry to measure 38 peptides from 20 proteins implicated in diabetic kidney disease. Significant proteins were investigated in complementary human cohorts and in mouse proximal tubular epithelial cell cultures. Results: The cohort study included 1270 participants followed a median 8 years. In the discovery set, only cathepsin D peptide and protein were significant on full adjustment for clinical and laboratory variables. In the validation set, associations of cathepsin D with eGFR decline were replicated in minimally-adjusted models but lost significance with adjustment for albuminuria. In a meta-analysis combining discovery and validation sets, the odds ratio for the association of cathepsin D with rapid eGFR decline was 1.29 per SD (95%CI 1.07-1.55). In complementary human cohorts, urine cathepsin D was associated with tubulointerstitial injury, and tubulointerstitial cathepsin D expression was associated with increased cortical interstitial fractional volume. In mouse proximal tubular epithelial cell cultures, advanced glycation end product-bovine serum albumin increased cathepsin D activity and inflammatory and tubular injury markers, which were further increased with cathepsin D siRNA. Conclusion: Urine cathepsin D is associated with rapid eGFR decline in T1D and reflects kidney tubulointerstitial injury.

Published
2022

36. Non-dipping and higher nocturnal blood pressure are associated with risk of mortality and development of kidney disease in type 1 diabetes

Author

Henrik Ø. Hjortkjær, Frederik Persson, Simone Theilade, Signe A. Winther, Nete Tofte, Tarunveer S. Ahluwalia, and Peter Rossing

Subjects
Adult, Endocrinology, Diabetes and Metabolism, Blood Pressure, Blood Pressure Monitoring, Ambulatory, Middle Aged, Circadian Rhythm, Endocrinology, Diabetes Mellitus, Type 1, Risk Factors, Hypertension, Internal Medicine, Humans, Kidney Failure, Chronic, Kidney Diseases, Aged
Abstract

People with type 1 diabetes have increased risk of cardiovascular (CV) and kidney disease. A 24-hour ambulatory blood pressure (BP) measurement (ABPM) examines diurnal variations in BP. We aimed to determine the prognostic significance of blunted decrease in nocturnal systolic BP of10 % (non-dipping of nocturnal BP) for CV- and kidney disease and all-cause mortality in type 1 diabetes.From 2009 to 2011, at Steno Diabetes Center Copenhagen, 654 participants with type 1 diabetes had 24-hour ABPM obtained with a tonometric wrist-watch device (BPro, HealthStats, Singapore). In 2017, outcomes (composite CV endpoint; all-cause mortality; decline in estimated glomerular filtration rate (eGFR) ≥30 %; end-stage kidney disease (ESKD); and a composite kidney endpoint including decline in eGFR ≥30 %, ESKD and all-cause mortality) were registered. Hazard Ratios (HR) were calculated using Cox regressions.Participants were mean ± SD 55 ± 13 years old and had median (IQR) 35 (24-44) years diabetes duration. Mean daytime and nocturnal systolic BP were 133 ± 16 and 121 ± 16 mmHg while 337 (52 %) participants demonstrated non-dipping. After CV risk factor adjustments, non-dipping was associated with all-cause mortality (HR 2.12 (1.09-4.11), p = 0.03) and the composite kidney endpoint (HR 1.92 (1.23-3.00), p = 0.004).Non-dipping entailed increased risk of all-cause mortality and kidney disease in type 1 diabetes.

Published
2022

37. Genome-wide association study on coronary artery disease in type 1 diabetes suggests beta-defensin 127 as a risk locus

Author

A. Antikainen, Per-Henrik Groop, Tarunveer S. Ahluwalia, Valma Harjutsalo, Alexander P. Maxwell, Samy Hadjadj, Daniel Gordin, David-Alexandre Trégouët, Anna Syreeni, Romain Charmet, Carol Forsblom, Niina Sandholm, Erkka Valo, Peter Rossing, Amy Jayne McKnight, University of Helsinki, Clinicum, University of Helsinki, Medicum, University of Helsinki, HUS Abdominal Center, University of Helsinki, Research Programs Unit, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Clinicum, HUS Abdominal Center, Nefrologian yksikkö, University of Helsinki, Helsinki University Hospital Area, CAMM - Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, Medicum, Research Programs Unit, Department of Medicine, and Per Henrik Groop / Principal Investigator

Subjects
Male, 0301 basic medicine, beta-Defensins, Physiology, Genome-wide association study, Coronary Artery Disease, Disease, 030204 cardiovascular system & hematology, Bioinformatics, Coronary artery disease, 0302 clinical medicine, Risk Factors, Medicine, Registries, Promoter Regions, Genetic, Finland, education.field_of_study, Middle Aged, Cardiovascular disease, 3. Good health, Phenotype, Type 1 diabetes, Female, RNA, Long Noncoding, TYPE 1 DIABETES, Cardiology and Cardiovascular Medicine, Adult, GENETICS, education, Population, CARDIOVASCULAR DISEASE, 3121 Internal medicine, Polymorphism, Single Nucleotide, Risk Assessment, 03 medical and health sciences, Physiology (medical), Diabetes mellitus, Genetics, Humans, Genetic Predisposition to Disease, Aged, Genetic association, business.industry, Original Articles, medicine.disease, Diabetes Mellitus, Type 1, 030104 developmental biology, Intima-media thickness, Genetic Loci, Case-Control Studies, 3121 General medicine, internal medicine and other clinical medicine, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, Genome-Wide Association Study
Abstract

AIMS: Diabetes is a known risk factor for coronary artery disease. There is accumulating evidence that coronary artery disease pathogenesis differs for individuals with type 1 diabetes. However, the genetic background has not been extensively studied. We aimed to discover genetic loci increasing coronary artery disease susceptibility especially in type 1 diabetes, to examine the function of these discoveries and to study the role of the known risk loci in type 1 diabetes. METHODS AND RESULTS: We performed the largest genome-wide association study to date for coronary artery disease in type 1 diabetes, comprising 4869 individuals with type 1 diabetes (cases/controls: 941/3928). Two loci reached genome-wide significance, rs1970112 in CDKN2B-AS1 (OR = 1.32, p=1.50 x 10-8), and rs6055069 on DEFB127 promoter (OR = 4.17, p=2.35 x 10-9), with consistent results in survival analysis. The CDKN2B-AS1 variant replicated (p=0.04) when adjusted for diabetic kidney disease in three additional type 1 diabetes cohorts (cases/controls: 434/3123). Furthermore, we explored the function of the lead discoveries with a cardio-phenome-wide analysis. Among the eight suggestive loci (p

Published
2020

38. The novel inflammatory biomarker GlycA and triglyceride-rich lipoproteins are associated with the presence of subclinical myocardial dysfunction in subjects with type 1 diabetes mellitus

Author

Carlos Puig-Jové, Josep Julve, Esmeralda Castelblanco, M Teresa Julián, Núria Amigó, Henrik U Andersen, Tarunveer S Ahluwalia, Peter Rossing, Dídac Mauricio, Magnus T Jensen, and Núria Alonso

Subjects
GlycA, Glycosylation, Endocrinology, Diabetes and Metabolism, Lipoproteins, Heart failure, Stroke Volume, Myocardial dysfunction, Ventricular Function, Left, Ventricular Dysfunction, Left, Type 1 diabetes, Diabetes Mellitus, Type 1, Humans, Cardiology and Cardiovascular Medicine, Cardiomyopathies, Triglycerides, Biomarkers
Abstract

Background Subjects with Type 1 diabetes mellitus (T1DM) have an increased incidence of heart failure (HF). Several pathophysiological mechanisms have been involved in its development. The aim of this study was to analyze the potential contribution of the advanced lipoprotein profile and plasma glycosylation (GlycA) to the presence of subclinical myocardial dysfunction in subjects with T1DM. Methods We included subjects from a Danish cohort of T1DM subjects (Thousand & 1 study) with either diastolic and/or systolic subclinical myocardial dysfunction, and a control group without myocardial dysfunction, matched by age, sex and HbA1c. All underwent a transthoracic echocardiogram and an advanced lipoprotein profile obtained by using the NMR-based Liposcale® test. GlycA NMR signal was also analyzed. Systolic dysfunction was defined as left ventricular ejection fraction ≤ 45% and diastolic dysfunction was considered as E/e′≥12 or E/e′ 8–12 + volume of the left atrium > 34 ml/m2. To identify a metabolic profile associated with the presence of subclinical myocardial dysfunction, a multivariate supervised model of classification based on least squares regression (PLS-DA regression) was performed. Results One-hundred forty-six subjects had diastolic dysfunction and 18 systolic dysfunction. Compared to the control group, patients with myocardial dysfunction had longer duration of diabetes (p = 0.005), and higher BMI (p = 0.013), serum NTproBNP concentration (p = 0.001), systolic blood pressure (p Conclusion Proatherogenic TGRLs and the proinflammatory biomarker Glyc A are strongly associated to myocardial dysfunction in T1DM. These findings suggest a pivotal role of TGRLs and systemic inflammation in the development of subclinical myocardial dysfunction in T1DM.

Published
2022

39. A genome-wide association study of total child psychiatric problems scores

Author

Carol A. Wang, Erik Pettersson, Jari Lahti, Irene Pappa, Gail M. Williams, Peter J. van der Most, Olli T. Raitakari, Jackob M. Najman, Henning Tiemeier, Amanda G. Wills, Craig E. Pennell, Terho Lehtimäki, Jouke-Jan Hottenga, Katri Räikkönen, Jakob Stokholm, Tarunveer S. Ahluwalia, Eva Krapohl, Marinus H. van IJzendoorn, Ilkka Seppälä, Christian Hakulinen, John K. Hewitt, Joachim Heinrich, Catharina E. M. van Beijsterveldt, Robert Plomin, Beben Benyamin, Marius Lahti-Pulkkinen, Lærke Sass, Ville Karhunen, Meike Bartels, Beate St Pourcain, Marie Standl, Silvia Alemany, Andrew J. O. Whitehouse, Alexander Neumann, Carla M. T. Tiesler, Gareth E. Davies, Elina Hyppönen, Catharina A. Hartman, Liisa Keltikangas-Järvinen, Ilja M. Nolte, Ang Zhou, Dorret I. Boomsma, Anjali K. Henders, Alina Rodriguez, Klaus Bønnelykke, Christel M. Middeldorp, Hans Bisgaard, Anke R. Hammerschlag, Kaili Rimfeld, Albertine J. Oldehinkel, Teemu Palviainen, Chris Power, Jaakko Kaprio, Tellervo Korhonen, Marian J. Bakermans-Kranenburg, Natalia Vilor-Tejedor, Yi Lu, Quinta Helmer, Anna Suarez, Jordi Sunyer, Harold Snieder, Neumann, Alexander [0000-0001-6653-3203], Ahluwalia, Tarunveer S [0000-0002-7464-3354], Rodriguez, Alina [0000-0003-1209-8802], van der Most, Peter J [0000-0001-8450-3518], Palviainen, Teemu [0000-0002-7847-8384], Kaprio, Jaakko [0000-0002-3716-2455], Lahti-Pulkkinen, Marius [0000-0002-5244-5525], Najman, Jackob M [0000-0001-7079-2080], Tiemeier, Henning [0000-0002-4395-1397], Apollo - University of Cambridge Repository, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Institute for Molecular Medicine Finland, Genetic Epidemiology, University of Helsinki, Developmental Psychology Research Group, Department of Psychology and Logopedics, Helsinki Inequality Initiative (INEQ), Faculty Common Matters (Faculty of Education), Psychosocial factors and health, Medicum, Tellervo Korhonen / Principal Investigator, Department of Public Health, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Tampere University, Department of Clinical Chemistry, Clinical Medicine, Clinical Child and Family Studies, LEARN! - Child rearing, Biological Psychology, APH - Mental Health, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, APH - Methodology, Neumann, Alexander, Nolte, Ilja M, Pappa, Irene, Ahluwalia, Tarunveer S, Benyamin, Beben, Zhou, Ang, Hyppönen, Elina, and Tiemeier, Henning

Subjects
Bipolar Disorder, Genome-wide association study, Expression, Quality-control, Genome-wide association studies, genome-wide, 0302 clinical medicine, Human genetics, 0303 health sciences, education.field_of_study, Multidisciplinary, Bipolar Disorder/genetics, 1184 Genetics, developmental biology, physiology, Single Nucleotide, Metaanalysis, Neuroticism, 3. Good health, Physical sciences, Eating disorders, psychiatric disorders, Schizophrenia, Genome-Wide Association Study/methods, Anxiety, medicine.symptom, Attention Deficit Disorder with Hyperactivity/genetics, Research Article, medicine.medical_specialty, General psychopathology factor, General Science & Technology, Genetic loci, Population, FOS: Physical sciences, Polymorphism, Single Nucleotide, Age-of-onset, Heritability, 03 medical and health sciences, children, medicine, ADHD, Humans, Genetic Predisposition to Disease, Clinical genetics, Bipolar disorder, Polymorphism, Psychiatry, education, childhood, 030304 developmental biology, Medicine and health sciences, Biology and life sciences, business.industry, Questionnaire, Single nucleotide polymorphisms, medicine.disease, Research and analysis methods, Attention-deficit/hyperactivity disorder, Attention Deficit Disorder with Hyperactivity, Symptoms, Autism, Gene expression, Human medicine, 3111 Biomedicine, business, 030217 neurology & neurosurgery, Model, Genome-Wide Association Study
Abstract

Substantial genetic correlations have been reported across psychiatric disorders and numerous cross-disorder genetic variants have been detected. To identify the genetic variants underlying general psychopathology in childhood, we performed a genome-wide association study using a total psychiatric problem score. We analyzed 6,844,199 common SNPs in 38,418 school-aged children from 20 population-based cohorts participating in the EAGLE consortium. The SNP heritability of total psychiatric problems was 5.4% (SE = 0.01) and two loci reached genome-wide significance: rs10767094 and rs202005905. We also observed an association of SBF2, a gene associated with neuroticism in previous GWAS, with total psychiatric problems. The genetic effects underlying the total score were shared with common psychiatric disorders only (attention-deficit/hyperactivity disorder, anxiety, depression, insomnia) (rG > 0.49), but not with autism or the less common adult disorders (schizophrenia, bipolar disorder, or eating disorders) (rG < 0.01). Importantly, the total psychiatric problem score also showed at least a moderate genetic correlation with intelligence, educational attainment, wellbeing, smoking, and body fat (rG > 0.29). The results suggest that many common genetic variants are associated with childhood psychiatric symptoms and related phenotypes in general instead of with specific symptoms. Further research is needed to establish causality and pleiotropic mechanisms between related traits. The work of H. Tiemeier is further supported by a European Union’s Horizon 2020 research and innovation program (Contract grant number: 633595, DynaHealth) and a NWO-VICI grant (NWO-ZonMW: 016.VICI.170.200). https://www.nwo.nl/ The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Published
2022

40. Whole Genome Sequencing Identifies CRISPLD2 as a Lung Function Gene in Children With Asthma

Author

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

Subjects
Adult, Costa Rica, Male, Pulmonary and Respiratory Medicine, Adolescent, Vital Capacity, Single-nucleotide polymorphism, Pedigree chart, Critical Care and Intensive Care Medicine, Young Adult, 03 medical and health sciences, FEV1/FVC ratio, 0302 clinical medicine, Polymorphism (computer science), Forced Expiratory Volume, Humans, Medicine, SNP, 030212 general & internal medicine, Child, Asthma, Whole Genome Sequencing, business.industry, Middle Aged, respiratory system, medicine.disease, respiratory tract diseases, Minor allele frequency, 030228 respiratory system, Genetic epidemiology, Child, Preschool, Interferon Regulatory Factors, Immunology, Respiratory Physiological Phenomena, Female, Cardiology and Cardiovascular Medicine, business, Cell Adhesion Molecules
Abstract

BACKGROUND: Asthma is a common respiratory disorder with a highly heterogeneous nature that remains poorly understood. The objective was to use whole genome sequencing (WGS) data to identify regions of common genetic variation contributing to lung function in individuals with a diagnosis of asthma. METHODS: WGS data were generated for 1,053 individuals from trios and extended pedigrees participating in the family-based Genetic Epidemiology of Asthma in Costa Rica study. Asthma affection status was defined through a physician’s diagnosis of asthma, and most participants with asthma also had airway hyperresponsiveness (AHR) to methacholine. Family-based association tests for single variants were performed to assess the associations with lung function phenotypes. RESULTS: A genome-wide significant association was identified between baseline FEV(1)/FVC ratio and a single-nucleotide polymorphism in the top hit cysteine-rich secretory protein LCCL domain-containing 2 (CRISPLD2) (rs12051168; P = 3.6 × 10(−8) in the unadjusted model) that retained suggestive significance in the covariate-adjusted model (P = 5.6 × 10(−6)). Rs12051168 was also nominally associated with other related phenotypes: baseline FEV(1) (P = 3.3 × 10(−3)), postbronchodilator (PB) FEV(1) (7.3 × 10(−3)), and PB FEV(1)/FVC ratio (P = 2.7 × 10(−3)). The identified baseline FEV(1)/FVC ratio and rs12051168 association was meta-analyzed and replicated in three independent cohorts in which most participants with asthma also had confirmed AHR (combined weighted z-score P = .015) but not in cohorts without information about AHR. CONCLUSIONS: These findings suggest that using specific asthma characteristics, such as AHR, can help identify more genetically homogeneous asthma subgroups with genotype-phenotype associations that may not be observed in all children with asthma. CRISPLD2 also may be important for baseline lung function in individuals with asthma who also may have AHR.

Published
2019

41. Genome Wide Association Metanalysis Of Skull Bone Mineral Density Identifies Loci Relevant For Osteoporosis And Craniosynostosis

Author

Kun Zhu, Scott Wilson, Prokic I, Stuart H. Ralston, Karasik D, Raimo Joro, Ohlsson C, Andre G. Uitterlinden, Dennis O. Mook-Kanamori, Stykársdóttir U, Gautvik Km, Benjamin H. Mullin, Linda Broer, van Duijn Cm, Pawlak Ma, Struan F.A. Grant, Tim D. Spector, Carol A. Wang, van der Velde N, Shochat-Carvalho C, Richards Jb, Alessandra Chesi, Eric S. Orwoll, Carolina Medina-Gomez, Tarunveer S. Ahluwalia, John P. Walsh, James F. Wilson, John P. Kemp, Katharina E. Schraut, Erika Kague, David M. Evans, Fernando Rivadeneira, Daniel S. Evans, Kari Stefansson, Maria Nethander, Ruifang Li-Gao, van de Peppel J, Cheryl L. Ackert-Bicknell, Evans Te, Klaus Bønnelykke, Katerina Trajanoska, M. A. Ikram, Janine F. Felix, Gudmar Thorleifsson, van Schoor N, Babette S. Zemel, Jonathan H Tobias, Zillikens Mc, Prijatelj, Adams Hh, Maria J. Knol, Mattias Lorentzon, Hans Bisgaard, van der Eerden B, Timo A. Lakka, and Reppe S

Subjects
Bone growth, Genetics, Skull, medicine.anatomical_structure, Craniofacial abnormality, Intramembranous ossification, Osteoporosis, medicine, Genome-wide association study, Craniofacial, Biology, medicine.disease, Craniosynostosis
Abstract

Skull bone mineral density (SK-BMD) provides a suitable trait for the discovery of genes important to bone biology in general, and particularly for identifying components unique to intramembranous ossification, which cannot be captured at other skeletal sites. We assessed genetic determinants of SK-BMD in 43,800 individuals, identifying 59 genome-wide significant loci (4 novel), explaining 12.5% of its variance. Pathway and enrichment analyses of the association signals resulted in clustering within gene-sets involved in regulating the development of the skeleton; overexpressed in the musculoskeletal system; and enriched in enhancer and transcribed regions in osteoblasts. From the four novel loci (mapping to ZIC1, PRKAR1A, ATP6V1C1, GLRX3), two (ZIC1 and PRKAR1A) have previously been related to craniofacial developmental defects. Functional validation of skull development in zebrafish revealed abnormal cranial bone initiation that culminated in ectopic sutures and reduced BMD in mutated zic1 and atp6v1c1 fish and asymmetric bone growth and elevated BMD in mutated prkar1a fish. We confirmed a role of ZIC1 loss-of-function in suture patterning and discovered ATP6V1C1 gene associated with suture development. In light of the evidence presented suggesting that SK-BMD is genetically related to craniofacial abnormalities, our study opens new avenues to the understanding of the pathophysiology of craniofacial defects and towards the effective pharmacological treatment of bone diseases.

Published
2021

42. Let-7a induces metabolic reprogramming in breast cancer cells via targeting mitochondrial encoded ND4

Author

Tarunveer S. Ahluwalia, Sandeep Singh, Vibhuti Sharma, Praveen Sharma, Nilambra Dogra, and Santosh Kumar

Subjects
Cancer Research, Mitochondrial DNA, Cell, Mitochondrion, Biology, microRNA, Gene expression, Genetics, medicine, Glycolysis, RC254-282, Cancer, QH573-671, Mito-miRs, Metabolic reprogramming, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RNA, medicine.disease, Cell biology, Mitochondria, medicine.anatomical_structure, Oncology, Cytology, Primary Research
Abstract

Background and objectives MicroRNA (miRNA) that translocate from the nucleus to mitochondria are referred to as mitochondrial microRNA (mitomiR). Albeit mitomiRs have been shown to modulate gene expression, their functional impact within mitochondria is unknown. The main objective of this study is to investigate whether the mitochondrial genome is regulated by miR present inside the mitochondria. Methods and results Here, we report mitomiR let-7a regulates mitochondrial transcription in breast cancer cells and reprogram the metabolism accordingly. These effects were mediated through the interaction of let-7a with mtDNA, as studied by RNA pull-down assays, altering the activity of Complex I in a cell line-specific manner. Our study, for the first time, identifies the role of mitomiR (let-7a) in regulating the mitochondrial genome by transcriptional repression and its contribution to regulating mitochondrial metabolism of breast cancer cells. Conclusion These findings uncover a novel mechanism by which mitomiR regulates mitochondrial transcription.

Published
2021

43. Association of Coding Variants in Hydroxysteroid 17-beta Dehydrogenase 14 (HSD17B14) with Reduced Progression to End Stage Kidney Disease in Type 1 Diabetes

Author

Rachel G. Miller, Erkka Valo, Jani K. Haukka, Tina Costacou, Barbara E.K. Klein, Beata Gyorgy, Joseph V. Bonventre, Katalin Susztak, Hillary A. Keenan, James H. Warram, Marlon Pragnell, Ivan G. Shabalin, Andrew D. Paterson, Stephen S. Rich, Takaharu Ichimura, Jingjing Cao, Suna Onengut-Gumuscu, Ronald Klein, Kristina O’Neil, Eiichiro Satake, Marcus G. Pezzolesi, Josyf C. Mychaleckyj, Niina Sandholm, Christian Dina, Andrzej T. Galecki, George L. King, Trevor J. Orchard, Samy Hadjadj, Per-Henrik Groop, Adam M. Smiles, Carol Forsblom, Andrzej S. Krolewski, David-Alexandre Trégouët, Tarunveer S. Ahluwalia, Peter Rossing, Ron Korstanje, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), CAMM - Research Program for Clinical and Molecular Metabolism, HUS Abdominal Center, Nefrologian yksikkö, Research Programs Unit, Clinicum, Medicum, Department of Medicine, and Per Henrik Groop / Principal Investigator

Subjects
Gene-based tests, GENES, GENETICS, NEPHROPATHY, DURATION, 030209 endocrinology & metabolism, Hydroxysteroid 17-beta dehydrogenase 14, Diabetic nephropathy, Biology, 03 medical and health sciences, 0302 clinical medicine, Gene expression, medicine, Coding region, GENOME-WIDE ASSOCIATION, Diabetic kidney disease, PREDICTORS, Gene, Exome, 030304 developmental biology, RISK, 0303 health sciences, Type 1 diabetes, Kidney, COMPLICATIONS, End stage kidney disease, MICROALBUMINURIA, Rare variants, General Medicine, medicine.disease, RENAL DECLINE, medicine.anatomical_structure, Nephrology, 3121 General medicine, internal medicine and other clinical medicine, Cancer research, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Kidney disease
Abstract

Background Rare variants in gene coding regions likely have a greater impact on disease-related phenotypes than common variants through disruption of their encoded protein. We searched for rare variants associated with onset of end stage kidney disease (ESKD) in individuals with type 1 diabetes at advanced kidney disease stage. Methods Gene-based exome array analysis of 15,449 genes in 5 large incidence cohorts of individuals with type 1 diabetes and proteinuria were analyzed for survival time-to-ESKD, testing the top gene in a 6th cohort (N=2,372/1,115 events all cohorts) and replicating in two retrospective case-control studies (N=1,072 cases, 752 controls). Deep resequencing of the top associated gene in 5 cohorts confirmed the findings. We performed immunohistochemistry and gene expression experiments in human control and diseased cells, and in mouse ischemia reperfusion and aristolochic acid nephropathy models. Results Protein coding variants in the hydroxysteroid 17-beta dehydrogenase 14 gene (HSD17B14), predicted to affect protein structure, had a net protective effect against development of ESKD at exome-wide significance (N=4,196; p-value=3.3x10-7). The HSD17B14 gene and encoded enzyme were robustly expressed in healthy human kidney, maximally in proximal tubular cells. Paradoxically, gene and protein expression were attenuated in human diabetic proximal tubules and in mouse kidney injury models. Expressed HSD17B14 gene and protein levels remained low without recovery after 21 days in a murine ischemic reperfusion injury model. Decreased gene expression was found in other chronic kidney disease-associated renal pathologies. Conclusions HSD17B14 gene is mechanistically involved in diabetic kidney disease. The encoded sex steroid enzyme is a druggable target, potentially opening a new avenue for therapeutic development.

Published
2021

44. Circulating Free Fatty Acid and Phospholipid Signature Predicts Early Rapid Kidney Function Decline in Patients With Type 1 Diabetes

Author

Tina Costacou, Manjula Darshi, Rachel G. Miller, Ian H. de Boer, Daniel Montemayor, Loki Natarajan, Thekkelnaycke M. Rajendiran, Janet K. Snell-Bergeon, Jaeman Byun, George Michailidis, Trevor J. Orchard, Chenchen He, Farsad Afshinnia, Christine P. Limonte, Kumar Sharma, Peter Rossing, Tarunveer S. Ahluwalia, Jana Tumova, Jiwan Kim, and Subramaniam Pennathur

Subjects
medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, Phospholipid, Renal function, Type 2 diabetes, Fatty Acids, Nonesterified, Kidney, chemistry.chemical_compound, Risk Factors, Diabetes mellitus, Phosphatidylcholine, Internal medicine, Internal Medicine, medicine, Humans, Renal Insufficiency, Chronic, Pathophysiology/Complications, Phospholipids, Advanced and Specialized Nursing, chemistry.chemical_classification, Phosphatidylethanolamine, Type 1 diabetes, business.industry, Fatty acid, medicine.disease, Diabetes Mellitus, Type 1, Endocrinology, Diabetes Mellitus, Type 2, chemistry, Case-Control Studies, Disease Progression, lipids (amino acids, peptides, and proteins), business, Glomerular Filtration Rate
Abstract

OBJECTIVES Patients with type 1 diabetes (T1D) exhibit modest lipid abnormalities as measured by traditional metrics. This study aimed to identify lipidomic predictors of rapid decline of kidney function in T1D. RESEARCH DESIGN AND METHODS In a case-control study, 817 patients with T1D from three large cohorts were randomly split into training and validation subsets. Case was defined as >3 mL/min/1.73 m2 per year decline in estimated glomerular filtration rate (eGFR), while control was defined as RESULTS At individual lipids, free fatty acid (FFA)20:2 was directly and phosphatidylcholine (PC)16:0/22:6 was inversely and independently associated with rapid eGFR decline. When examined by lipid class, rapid eGFR decline was characterized by higher abundance of unsaturated FFAs, phosphatidylethanolamine (PE)-Ps, and PCs with an unsaturated acyl chain at the sn1 carbon, and by lower abundance of saturated FFAs, longer triacylglycerols, and PCs, PEs, PE-Ps, and PE-Os with an unsaturated acyl chain at the sn1 carbon at eGFR ≥90 mL/min/1.73 m2. A multilipid panel consisting of unsaturated FFAs and saturated PE-Ps predicted rapid eGFR decline better than individual lipids (C-statistic, 0.71) and improved the C-statistic of the clinical model from 0.816 to 0.841 (P = 0.039). Observations were confirmed in the validation subset. CONCLUSIONS Distinct from previously reported predictors of GFR decline in type 2 diabetes, these findings suggest differential incorporation of FFAs at the sn1 carbon of the phospholipids’ glycerol backbone as an independent predictor of rapid GFR decline in T1D.

Published
2021

45. Genome-Wide Association Study of Apparent Treatment-Resistant Hypertension in the CHARGE Consortium: The CHARGE Pharmacogenetics Working Group

Author

David J. Stott, Christopher J. O'Donnell, Nuno R. Zilhão, Eric A. Whitsel, Fangui Sun, Leslie A. Lange, Xiuqing Guo, Kerri L. Wiggins, Hanfei Xu, Aishwarya Sundaresan, Dennis O. Mook-Kanamori, Christy L. Avery, Albert V. Smith, Xiaohui Li, Til Stürmer, Ayush Giri, Raymond Noordam, Joshua C. Bis, Walter Palmas, Adolfo Correa, Laura M. Raffield, Peter Rossing, Rikki M. Tanner, Tarunveer S. Ahluwalia, James A. Stewart, Helen R. Warren, Jie Yao, Colleen M. Sitlani, Vilmundur Gudnason, Adrienne Cupples, James S. Floyd, Bruce M. Psaty, Jerome I. Rotter, Marguerite R. Irvin, Jacklyn N. Hellwege, Donna K. Arnett, Adriana M. Hung, Ching-Ti Liu, Nita A. Limdi, Stella Trompet, Todd L. Edwards, Lenore J. Launer, J. Wouter Jukema, and Ian Ford

Subjects
Male, Pharmacogenomic Variants, Drug Resistance, Blood Pressure, Genome-wide association study, 030204 cardiovascular system & hematology, Cardiovascular, Logistic regression, DNA Methyltransferase 3A, 0302 clinical medicine, Risk Factors, DNA (Cytosine-5-)-Methyltransferases, 0303 health sciences, blood pressure, Single Nucleotide, Middle Aged, severe hypertension, DNA-Binding Proteins, Europe, Female, medicine.medical_specialty, hypertension, Clinical Sciences, Myosin Type V, Locus (genetics), Single-nucleotide polymorphism, Brief Communication, Polymorphism, Single Nucleotide, Risk Assessment, White People, 03 medical and health sciences, Clinical Research, Internal medicine, Genetics, Internal Medicine, medicine, Humans, Polymorphism, Antihypertensive Agents, Aged, 030304 developmental biology, genome-wide association study, Myosin Heavy Chains, business.industry, Human Genome, Neuropeptides, Odds ratio, United States, Confidence interval, Black or African American, Blood pressure, Cardiovascular System & Hematology, Genetic Loci, Pharmacogenetics, Case-Control Studies, treatment-resistant hypertension, Dystrophin-Associated Proteins, business, Transcription Factors
Abstract

BACKGROUND Only a handful of genetic discovery efforts in apparent treatment-resistant hypertension (aTRH) have been described. METHODS We conducted a case–control genome-wide association study of aTRH among persons treated for hypertension, using data from 10 cohorts of European ancestry (EA) and 5 cohorts of African ancestry (AA). Cases were treated with 3 different antihypertensive medication classes and had blood pressure (BP) above goal (systolic BP ≥ 140 mm Hg and/or diastolic BP ≥ 90 mm Hg) or 4 or more medication classes regardless of BP control (nEA = 931, nAA = 228). Both a normotensive control group and a treatment-responsive control group were considered in separate analyses. Normotensive controls were untreated (nEA = 14,210, nAA = 2,480) and had systolic BP/diastolic BP < 140/90 mm Hg. Treatment-responsive controls (nEA = 5,266, nAA = 1,817) had BP at goal ( RESULTS The known hypertension locus, CASZ1, was a top finding among EAs (P = 1.1 × 10−8) and in the race-combined analysis (P = 1.5 × 10−9) using the normotensive control group (rs12046278, odds ratio = 0.71 (95% confidence interval: 0.6–0.8)). Single-nucleotide polymorphisms in this locus were robustly replicated in the Million Veterans Program (MVP) study in consideration of a treatment-responsive control group. There were no statistically significant findings for the discovery analyses including treatment-responsive controls. CONCLUSION This genomic discovery effort for aTRH identified CASZ1 as an aTRH risk locus.

Published
2019

46. Variants in the fetal genome near pro-inflammatory cytokine genes on 2q13 associate with gestational duration

Author

Maria Carolina Borges, M. Geoffrey Hayes, Ke Hao, Carol A. Wang, Marjo-Riitta Järvelin, Niina Pitkänen, Ilkka Kalliala, Mariona Bustamante, Olli T. Raitakari, Bridget A. Knight, Robin N Beaumont, Matthew T. Weirauch, Line Skotte, Matthias Wielscher, Mark I. McCarthy, Klaus Bønnelykke, Vincent W. V. Jaddoe, Elina Hyppönen, Ole Mors, Tarunveer S. Ahluwalia, Thomas Werge, Frank Geller, Jonathan P. Bradfield, Vivek Appadurai, Kristin Skogstrand, Merete Nordentoft, Suzanne Vogelezang, Preben Bo Mortensen, Xueping Liu, Daniel Miller, Hakon Hakonarson, João Fadista, Pål R. Njølstad, Leah C. Kottyan, Wesley K. Thompson, Bruce Bedell, Katja Pahkala, Stefan Johansson, Dorte Helenius, Louis J. Muglia, Janine F. Felix, Rachel M. Freathy, Heather A. Boyd, Bjarke Feenstra, Ge Zhang, Anubha Mahajan, Alfonso Buil, Bo Jacobsson, Martine Vrijheid, Frederick T.J. Lin, William L. Lowe, Mads Melbye, Ron Nudel, Denise M. Scholtens, Julius Juodakis, Shouneng Peng, Christine Power, Andrew J. Schork, Jeffrey C. Murray, David M. Hougaard, Craig E. Pennell, Øyvind Helgeland, Struan F.A. Grant, Kelli K. Ryckman, Mary L. Marazita, Xiaoting Chen, Jonas Bacelis, Anders D. Børglum, Debbie A Lawlor, Hans Bisgaard, Robert M. Rossi, Fernando Rivadeneira, Leo-Pekka Lyytikäinen, Rebecca K. Vinding, Department of Obstetrics and Gynecology, HUS Gynecology and Obstetrics, Clinicum, Helsinki University Hospital Area, Epidemiology, Internal Medicine, Pediatrics, Erasmus MC other, Liu, Xueping, Helenius, Dorte, Skotte, Line, Beaumont, Robin N, Hyppönen, Elina, Feenstra, Bjarke, and UNIVERSITY OF OULU

Subjects
0301 basic medicine, LD SCORE REGRESSION, General Physics and Astronomy, Genome-wide association study, 02 engineering and technology, Reproductive health and childbirth, Bioinformatics, Low Birth Weight and Health of the Newborn, Genome-wide association studies, 3123 Gynaecology and paediatrics, Pregnancy, Genotype, Infant Mortality, Genetics research, 2.1 Biological and endogenous factors, WIDE ASSOCIATION, GWAS, FUNCTIONAL VARIATION, Aetiology, lcsh:Science, Pediatric, Multidisciplinary, Genome, Gestational age, Single Nucleotide, 021001 nanoscience & nanotechnology, 3. Good health, Multidisciplinary Sciences, Chromosomes, Human, Pair 2, Pair 2, Gestation, Science & Technology - Other Topics, Premature Birth, Cytokines, Female, 0210 nano-technology, Human, Reproductive signs and symptoms, EXPRESSION, PRETERM BIRTH, Science, Reproductive biology, Locus (genetics), Gestational Age, Biology, Polymorphism, Single Nucleotide, SEQUENCE, Article, General Biochemistry, Genetics and Molecular Biology, Chromosomes, 03 medical and health sciences, AGE, Fetus, Preterm, medicine, Genetics, SNP, Humans, Polymorphism, Science & Technology, Genome, Human, Human Genome, Infant, Newborn, Infant, General Chemistry, Perinatal Period - Conditions Originating in Perinatal Period, medicine.disease, Newborn, 030104 developmental biology, Good Health and Well Being, lcsh:Q, WEIGHT, 3111 Biomedicine, HAPLOTYPES, Genome-Wide Association Study
Abstract

The duration of pregnancy is influenced by fetal and maternal genetic and non-genetic factors. Here we report a fetal genome-wide association meta-analysis of gestational duration, and early preterm, preterm, and postterm birth in 84,689 infants. One locus on chromosome 2q13 is associated with gestational duration; the association is replicated in 9,291 additional infants (combined P = 3.96 × 10−14). Analysis of 15,588 mother-child pairs shows that the association is driven by fetal rather than maternal genotype. Functional experiments show that the lead SNP, rs7594852, alters the binding of the HIC1 transcriptional repressor. Genes at the locus include several interleukin 1 family members with roles in pro-inflammatory pathways that are central to the process of parturition. Further understanding of the underlying mechanisms will be of great public health importance, since giving birth either before or after the window of term gestation is associated with increased morbidity and mortality., Gestational duration depends on both maternal and fetal genetic influences. Here, the authors perform a fetal genome-wide association meta-analysis and find that a locus on 2q13 is associated with pregnancy duration and further show that the lead SNP rs7594852 changes the binding properties of transcriptional repressor HIC1.

Published
2019

47. Utility of Plasma Concentration of Trimethylamine N-Oxide in Predicting Cardiovascular and Renal Complications in Individuals With Type 1 Diabetes

Author

Tine W. Hansen, Lise Tarnow, Simone Theilade, Jens Ollgaard, Stanley L. Hazen, Hans-Henrik Parving, Tarunveer S. Ahluwalia, Signe Abitz Winther, Peter Rossing, Nete Tofte, Zeneng Wang, Oluf Pedersen, and Anders Jorsal

Subjects
Male, Diabetic Cardiomyopathies, Endocrinology, Diabetes and Metabolism, Myocardial Infarction, Trimethylamine N-oxide, Kidney, DISEASE, chemistry.chemical_compound, 0302 clinical medicine, Risk Factors, Interquartile range, PHOSPHATIDYLCHOLINE, Diabetic Nephropathies, Prospective Studies, Renal Insufficiency, 030212 general & internal medicine, Myocardial infarction, Middle Aged, Stroke, Cardiology, Female, Glomerular Filtration Rate, Cardiovascular and Metabolic Risk, medicine.medical_specialty, Renal function, 030209 endocrinology & metabolism, METABOLISM, CONTRIBUTES, MORTALITY RISK, Methylamines, 03 medical and health sciences, Internal medicine, Diabetes mellitus, Internal Medicine, medicine, Humans, Risk factor, Aged, Proportional Hazards Models, Advanced and Specialized Nursing, Type 1 diabetes, business.industry, medicine.disease, DYSFUNCTION, Gastrointestinal Microbiome, MICROBIOME, Diabetes Mellitus, Type 1, RED MEAT, ATHEROSCLEROSIS, chemistry, Heart failure, CHOLINE, Kidney Failure, Chronic, business, Biomarkers
Abstract

OBJECTIVE Trimethylamine N-oxide (TMAO) is suggested as an independent gut microbiota–derived risk factor for cardiovascular and renal disease. We investigated associations between plasma TMAO concentrations and cardio-renal outcomes in a prospective study of individuals with type 1 diabetes. RESEARCH DESIGN AND METHODS Plasma TMAO was measured at baseline in 1,159 individuals with type 1 diabetes (58% male, mean ± SD age 46 ± 13 years). End points were all-cause and cardiovascular mortality, cardiovascular disease (CVD), and renal events tracked from national registries. Associations between TMAO and end points were tested using Cox regression models. RESULTS After 15.0 (6.7–19.3) (median [interquartile range]) years of follow-up, we recorded all-cause and cardiovascular mortality (n = 363 and 120, respectively), combined CVD (n = 406), coronary outcome (myocardial infarction and coronary intervention) (n = 163), stroke (n = 115), hospitalization for heart failure (n = 81), and end-stage renal disease (n = 144). In univariate analyses, higher TMAO concentrations were associated with all end points (P ≤ 0.005). Except for stroke and heart failure, all end points remained significantly associated with higher TMAO concentrations after adjustment for conventional cardiovascular risk factors (P ≤ 0.003). After further adjustment for baseline estimated glomerular filtration rate (eGFR), results became insignificant for all end points. TMAO was inversely associated with baseline eGFR (R2 = 0.29; P < 0.001). CONCLUSIONS In individuals with type 1 diabetes, higher concentrations of plasma TMAO were associated with mortality, CVD events, and poor renal outcome, independent of conventional risk factors. However, the association became insignificant after further adjustment for baseline eGFR. This could reflect TMAO as a renal function marker or a risk factor for micro- and macrovascular complications mediated through impaired renal function.

Published
2019

48. Uric Acid Is an Independent Risk Factor for Decline in Kidney Function, Cardiovascular Events, and Mortality in Patients With Type 1 Diabetes

Author

Tarunveer S. Ahluwalia, Sascha Pilemann-Lyberg, Nete Tofte, Simone Theilade, Signe Abitz Winther, Peter Rossing, and Tine W. Hansen

Subjects
Adult, Male, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, Renal function, 030209 endocrinology & metabolism, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Predictive Value of Tests, Risk Factors, Interquartile range, Internal medicine, Diabetes mellitus, Internal Medicine, medicine, Albuminuria, Humans, Diabetic Nephropathies, 030212 general & internal medicine, Risk factor, Aged, Advanced and Specialized Nursing, Type 1 diabetes, business.industry, Hazard ratio, Middle Aged, medicine.disease, Uric Acid, Cross-Sectional Studies, Diabetes Mellitus, Type 1, chemistry, Cardiovascular Diseases, Disease Progression, Kidney Failure, Chronic, Uric acid, Female, medicine.symptom, business, Biomarkers, Diabetic Angiopathies, Follow-Up Studies, Glomerular Filtration Rate
Abstract

OBJECTIVE Previous studies have provided inconclusive results on the role of uric acid (UA) in risk prediction. Here we aimed to improve the power and precision of the predictive value of UA for the risk of decline in kidney function, cardiovascular events (CVEs), and mortality in patients with type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS Plasma UA was measured in 670 patients with T1D and various degrees of albuminuria, ranging from normoalbuminuria to macroalbuminuria. Associations of UA with an estimated glomerular filtration rate (eGFR) decline of ≥30%, CVEs, and mortality were analyzed. The median follow-up time was 5.3 years [interquartile range (IQR) 2.7–6.2 years] for a decline in eGFR of ≥30%, 5.8 years (2.5–6.4 years) for progression in albuminuria status, 5.1 years (4.7–5.6 years) for CVE, and 6.2 years (5.8–6.7 years) for mortality. Both univariable and multivariable associations of UA with relevant outcomes and variables were reported. Hazard ratios (HRs) were calculated per doubling of the UA level. RESULTS A doubling in UA level was associated with a higher risk of decline in eGFR of ≥30% (n = 89) (HR 3.18 [IQR 1.71–5.93]; P < 0.001), CVE (n = 94) (HR 2.25 [IQR 1.20–4.21]; P = 0.011), and mortality (n = 58) (HR 2.58 [IQR 1.12–5.90]; P = 0.025) in adjusted analyses. Adding UA to the adjusted model including conventional risk factors improved the relative integrated discrimination index by 12.6% for a decline in eGFR of ≥30% (P < 0.001), 6.5% for CVE (P = 0.010), and 11.8% (P = 0.003) for mortality. A doubling in UA level was also associated with a steeper decline in eGFR (P < 0.0026) and a steeper increase in urine albumin-to-creatinine ratio (P < 0.0027) in adjusted analysis. CONCLUSIONS In individuals with T1D, a higher UA level is associated with a higher risk of decline in kidney function, CVE, and mortality, independently of other risk factors. Our results suggest that UA has a promising role in risk stratification among individuals with T1D.

Published
2019

49. Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium

Author

Panos Deloukas, Christina-Alexandra Schulz, Caren E. Smith, Lu Qi, Mary F. Feitosa, Melissa E. Garcia, Natalia Pervjakova, Denise K. Houston, Michael A. Province, Stavroula Kanoni, Torben Hansen, Jean Shin, Lynda M. Rose, Oscar H. Franco, Yongmei Liu, Trudy Voortman, Marie-Claude Vohl, Luigi Ferrucci, Chloé Sarnowski, Paul S. de Vries, Jose C. Florez, John C. Lieske, Louis Pérusse, Misa Graff, Jian'an Luan, Nicola M. McKeown, Felix R. Day, L. Adrienne Cupples, Qibin Qi, Frank J. A. van Rooij, Robert A. Scott, Josée Dupuis, Stephen S. Rich, Jorma Viikari, Tarunveer S. Ahluwalia, Leo-Pekka Lyytikäinen, Paul M. Ridker, Tomáš Paus, Stephen Turner, Harri Rissanen, Audrey Y. Chu, Albert Hofman, Olli T. Raitakari, Paul Knekt, Daniel I. Chasman, Nita G. Forouhi, Vera Mikkilä, Toshiko Tanaka, Mika Kähönen, George Dedoussis, Minjung Kho, Yun J. Sung, Anne E. Justice, Julius S. Ngwa, Ani Manichaikul, M. Carola Zillikens, Jordi Merino, Dena G. Hernandez, Rozenn N. Lemaitre, Tao Huang, Sharon L.R. Kardia, Jing Hua Zhao, Stefania Bandinelli, Veikko Salomaa, Arne Astrup, Wei Zhao, David S. Siscovick, John Blangero, Zdenka Pausova, Dabeeru C. Rao, Oluf Pedersen, Craig E. Pennell, Wendy H. Oddy, Jose M. Ordovas, Jessica C. Kiefte-de Jong, Marju Orho-Melander, Hassan S. Dashti, Satu Männistö, Tuomo Rankinen, Constantina Papoutsakis, Sherly X. Li, Antti Jula, Kari E. North, Thorkild I. A. Sørensen, André G. Uitterlinden, Alexis C. Frazier-Wood, Nicholas J. Wareham, Ulrika Ericson, Markus Perola, Ioanna P. Kalafati, Renée de Mutsert, Jinyan Huang, Ruifang Li-Gao, Claudia Langenberg, Mike A. Nalls, Olivia Li, Joanne E. Curran, Dennis O. Mook-Kanamori, Niina Eklund, Jerome I. Rotter, Angelo Tremblay, Claude Bouchard, Jennifer A. Smith, Terho Lehtimäki, Mary K. Wojczynski, Carol A. Wang, Epidemiology, Internal Medicine, Zhao, Jing Hua [0000-0003-4930-3582], Luan, Jian'an [0000-0003-3137-6337], Day, Felix [0000-0003-3789-7651], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Forouhi, Nita [0000-0002-5041-248X], and Apollo - University of Cambridge Repository

Subjects
0301 basic medicine, Male, medicine.medical_specialty, Aging, Calorie, Genotype, Heart Diseases, Receptors, Retinoic Acid, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Locus (genetics), Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Article, White People, Cohort Studies, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Genetic variation, medicine, Humans, Genetic Predisposition to Disease, Obesity, Molecular Biology, Aged, 2. Zero hunger, Genetics, Family aggregation, Membrane Proteins, Genomics, Nutrients, Middle Aged, medicine.disease, 3. Good health, Fibroblast Growth Factors, Psychiatry and Mental health, 030104 developmental biology, Genetic Loci, Meta-analysis, Medical genetics, Female, Energy Intake, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Macronutrient intake, the proportion of calories consumed from carbohydrate, fat, and protein, is an important risk factor for metabolic diseases with significant familial aggregation. Previous studies have identified two genetic loci for macronutrient intake, but incomplete coverage of genetic variation and modest sample sizes have hindered the discovery of additional loci. Here, we expanded the genetic landscape of macronutrient intake, identifying 12 suggestively significant loci (P < 1 × 10(−6)) associated with intake of any macronutrient in 91,114 European ancestry participants. Four loci replicated and reached genome-wide significance in a combined meta-analysis including 123,659 European descent participants, unraveling two novel loci; a common variant in RARB locus for carbohydrate intake and a rare variant in DRAM1 locus for protein intake, and corroborating earlier FGF21 and FTO findings. In additional analysis of 144,770 participants from the UK Biobank, all identified associations from the two-stage analysis were confirmed except for DRAM1. Identified loci might have implications in brain and adipose tissue biology and have clinical impact in obesity-related phenotypes. Our findings provide new insight into biological functions related to macronutrient intake.

Published
2019

50. Cardiovascular Autonomic Neuropathy in Type 1 Diabetes is Associated with Several Metabolic Pathways – New Risk Markers on the Horizon

Author

Maria Lajer, Cristina Legido-Quigley, Tarunveer S. Ahluwalia, Peter Rossing, Tommi Suvitaival, Linda Ahonen, Tine W. Hansen, Christian Stevns Hansen, Kajetan Trošt, Simone Theilade, and Ismo Mattila

Subjects
chemistry.chemical_classification, medicine.medical_specialty, Type 1 diabetes, Creatinine, Methionine, business.industry, Tricarboxylic acid, medicine.disease, Amino acid, chemistry.chemical_compound, Metabolic pathway, Endocrinology, chemistry, Internal medicine, Diabetes mellitus, Lipidomics, medicine, business
Abstract

ObjectiveCardiovascular autonomic neuropathy (CAN) in diabetes is associated with increased mortality and morbidity and is a non-treatable complication. We investigated associations between circulating metabolites and presence of CAN in persons with type 1 diabetes (T1D).MethodsCAN was assessed by cardiovascular reflex tests (CARTs) in 302 persons with T1D as heart rate response to: deep breathing; lying-to-standing test; and the Valsalva manoeuvre. More than 1 pathological CART defined the CAN diagnosis.Serum metabolomics and lipidomics profiles were analysed with two complementary non-targeted massspectrometry methods. Cross-sectional associations between single metabolites and CAN were assessed by linear regression. Models were fitted with and without adjustments for relevant confounders and multiple testing.ResultsParticipants were mean (IQR) aged 55(49, 63) years, 50% males, with diabetes duration 39(32, 47) years, HbA1c 63(55,69) mmol/mol and 34% had the CAN diagnosis.A total of 75 metabolites and 106 lipids were examined. In crude models, CAN diagnosis was associated with higher levels of hydroxy fatty acids (2,4- and 3,4-dihydroxybutanoic acids, 4–deoxytetronic acid), creatinine, sugar derivates (ribitol, ribonic acid, myo-inositol), citric acid, glycerol, phenols, phosphatidylcholines and lower levels of free fatty acids and amino acid methionine (padjustedConclusionsMetabolic pathways, including the TCA cycle, hydroxy fatty acids, phosphatidylcholines and sugar derivatives, were associated with CAN in T1D. These novel metabolic pathways associated with CAN could prove to be future modifiable risk factors.

Published
2021

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