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1. Complex patterns of multimorbidity associated with severe COVID-19 and long COVID

Author: Maik Pietzner, Spiros Denaxas, Summaira Yasmeen, Maria A. Ulmer, Tomoko Nakanishi, Matthias Arnold, Gabi Kastenmüller, Harry Hemingway, and Claudia Langenberg
Subjects: Medicine
Abstract: Abstract Background Early evidence that patients with (multiple) pre-existing diseases are at highest risk for severe COVID-19 has been instrumental in the pandemic to allocate critical care resources and later vaccination schemes. However, systematic studies exploring the breadth of medical diagnoses are scarce but may help to understand severe COVID-19 among patients at supposedly low risk. Methods We systematically harmonized >12 million primary care and hospitalisation health records from ~500,000 UK Biobank participants into 1448 collated disease terms to systematically identify diseases predisposing to severe COVID-19 (requiring hospitalisation or death) and its post-acute sequalae, Long COVID. Results Here we identify 679 diseases associated with an increased risk for severe COVID-19 (n = 672) and/or Long COVID (n = 72) that span almost all clinical specialties and are strongly enriched in clusters of cardio-respiratory and endocrine-renal diseases. For 57 diseases, we establish consistent evidence to predispose to severe COVID-19 based on survival and genetic susceptibility analyses. This includes a possible role of symptoms of malaise and fatigue as a so far largely overlooked risk factor for severe COVID-19. We finally observe partially opposing risk estimates at known risk loci for severe COVID-19 for etiologically related diseases, such as post-inflammatory pulmonary fibrosis or rheumatoid arthritis, possibly indicating a segregation of disease mechanisms. Conclusions Our results provide a unique reference that demonstrates how 1) complex co-occurrence of multiple – including non-fatal – conditions predispose to increased COVID-19 severity and 2) how incorporating the whole breadth of medical diagnosis can guide the interpretation of genetic risk loci.
Published: 2024
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2. Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats

Author: Jakob Steinfeldt, Benjamin Wild, Thore Buergel, Maik Pietzner, Julius Upmeier zu Belzen, Andre Vauvelle, Stefan Hegselmann, Spiros Denaxas, Harry Hemingway, Claudia Langenberg, Ulf Landmesser, John Deanfield, and Roland Eils
Subjects: Science
Abstract: Abstract The COVID-19 pandemic exposed a global deficiency of systematic, data-driven guidance to identify high-risk individuals. Here, we illustrate the utility of routinely recorded medical history to predict the risk for 1883 diseases across clinical specialties and support the rapid response to emerging health threats such as COVID-19. We developed a neural network to learn from health records of 502,460 UK Biobank. Importantly, we observed discriminative improvements over basic demographic predictors for 1774 (94.3%) endpoints. After transferring the unmodified risk models to the All of US cohort, we replicated these improvements for 1347 (89.8%) of 1500 investigated endpoints, demonstrating generalizability across healthcare systems and historically underrepresented groups. Ultimately, we showed how this approach could have been used to identify individuals vulnerable to severe COVID-19. Our study demonstrates the potential of medical history to support guidance for emerging pandemics by systematically estimating risk for thousands of diseases at once at minimal cost.
Published: 2024
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3. Identifying therapeutic targets for cancer among 2074 circulating proteins and risk of nine cancers

Author: Karl Smith-Byrne, Åsa Hedman, Marios Dimitriou, Trishna Desai, Alexandr V. Sokolov, Helgi B. Schioth, Mine Koprulu, Maik Pietzner, Claudia Langenberg, Joshua Atkins, Ricardo Cortez Penha, James McKay, Paul Brennan, Sirui Zhou, Brent J. Richards, James Yarmolinsky, Richard M. Martin, Joana Borlido, Xinmeng J. Mu, Adam Butterworth, Xia Shen, Jim Wilson, Themistocles L. Assimes, Rayjean J. Hung, Christopher Amos, Mark Purdue, Nathaniel Rothman, Stephen Chanock, Ruth C. Travis, Mattias Johansson, and Anders Mälarstig
Subjects: Science
Abstract: Abstract Circulating proteins can reveal key pathways to cancer and identify therapeutic targets for cancer prevention. We investigate 2,074 circulating proteins and risk of nine common cancers (bladder, breast, endometrium, head and neck, lung, ovary, pancreas, kidney, and malignant non-melanoma) using cis protein Mendelian randomisation and colocalization. We conduct additional analyses to identify adverse side-effects of altering risk proteins and map cancer risk proteins to drug targets. Here we find 40 proteins associated with common cancers, such as PLAUR and risk of breast cancer [odds ratio per standard deviation increment: 2.27, 1.88-2.74], and with high-mortality cancers, such as CTRB1 and pancreatic cancer [0.79, 0.73-0.85]. We also identify potential adverse effects of protein-altering interventions to reduce cancer risk, such as hypertension. Additionally, we report 18 proteins associated with cancer risk that map to existing drugs and 15 that are not currently under clinical investigation. In sum, we identify protein-cancer links that improve our understanding of cancer aetiology. We also demonstrate that the wider consequence of any protein-altering intervention on well-being and morbidity is required to interpret any utility of proteins as potential future targets for therapeutic prevention.
Published: 2024
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4. Identifying proteomic risk factors for overall, aggressive, and early onset prostate cancer using Mendelian Randomisation and tumour spatial transcriptomicsResearch in context

Author: Trishna A. Desai, Åsa K. Hedman, Marios Dimitriou, Mine Koprulu, Sandy Figiel, Wencheng Yin, Mattias Johansson, Eleanor L. Watts, Joshua R. Atkins, Aleksandr V. Sokolov, Helgi B. Schiöth, Marc J. Gunter, Konstantinos K. Tsilidis, Richard M. Martin, Maik Pietzner, Claudia Langenberg, Ian G. Mills, Alastair D. Lamb, Anders Mälarstig, Tim J. Key, Ruth C. Travis, and Karl Smith-Byrne
Subjects: Proteins, Proteomics, -Omics, Mendelian randomisation, Cancer, Genetic epidemiology, Medicine, Medicine (General), R5-920
Abstract: Summary: Background: Understanding the role of circulating proteins in prostate cancer risk can reveal key biological pathways and identify novel targets for cancer prevention. Methods: We investigated the association of 2002 genetically predicted circulating protein levels with risk of prostate cancer overall, and of aggressive and early onset disease, using cis-pQTL Mendelian randomisation (MR) and colocalisation. Findings for proteins with support from both MR, after correction for multiple-testing, and colocalisation were replicated using two independent cancer GWAS, one of European and one of African ancestry. Proteins with evidence of prostate-specific tissue expression were additionally investigated using spatial transcriptomic data in prostate tumour tissue to assess their role in tumour aggressiveness. Finally, we mapped risk proteins to drug and ongoing clinical trials targets. Findings: We identified 20 proteins genetically linked to prostate cancer risk (14 for overall [8 specific], 7 for aggressive [3 specific], and 8 for early onset disease [2 specific]), of which the majority replicated where data were available. Among these were proteins associated with aggressive disease, such as PPA2 [Odds Ratio (OR) per 1 SD increment = 2.13, 95% CI: 1.54–2.93], PYY [OR = 1.87, 95% CI: 1.43–2.44] and PRSS3 [OR = 0.80, 95% CI: 0.73–0.89], and those associated with early onset disease, including EHPB1 [OR = 2.89, 95% CI: 1.99–4.21], POGLUT3 [OR = 0.76, 95% CI: 0.67–0.86] and TPM3 [OR = 0.47, 95% CI: 0.34–0.64]. We confirmed an inverse association of MSMB with prostate cancer overall [OR = 0.81, 95% CI: 0.80–0.82], and also found an inverse association with both aggressive [OR = 0.84, 95% CI: 0.82–0.86] and early onset disease [OR = 0.71, 95% CI: 0.68–0.74]. Using spatial transcriptomics data, we identified MSMB as the genome-wide top-most predictive gene to distinguish benign regions from high grade cancer regions that comparatively had five-fold lower MSMB expression. Additionally, ten proteins that were associated with prostate cancer risk also mapped to existing therapeutic interventions. Interpretation: Our findings emphasise the importance of proteomics for improving our understanding of prostate cancer aetiology and of opportunities for novel therapeutic interventions. Additionally, we demonstrate the added benefit of in-depth functional analyses to triangulate the role of risk proteins in the clinical aggressiveness of prostate tumours. Using these integrated methods, we identify a subset of risk proteins associated with aggressive and early onset disease as priorities for investigation for the future prevention and treatment of prostate cancer. Funding: This work was supported by Cancer Research UK (grant no. C8221/A29017).
Published: 2024
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5. Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications

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

Author: Adrienne Tin, Alison E. Fohner, Qiong Yang, Jennifer A. Brody, Gail Davies, Jie Yao, Dan Liu, Ilana Caro, Joni V. Lindbohm, Michael R. Duggan, Osorio Meirelles, Sarah E. Harris, Valborg Gudmundsdottir, Adele M. Taylor, Albert Henry, Alexa S. Beiser, Ali Shojaie, Annabell Coors, Annette L. Fitzpatrick, Claudia Langenberg, Claudia L. Satizabal, Colleen M. Sitlani, Eleanor Wheeler, Elliot M. Tucker-Drob, Jan Bressler, Josef Coresh, Joshua C. Bis, Julián Candia, Lori L. Jennings, Maik Pietzner, Mark Lathrop, Oscar L. Lopez, Paul Redmond, Robert E. Gerszten, Stephen S. Rich, Susan R. Heckbert, Thomas R. Austin, Timothy M. Hughes, Toshiko Tanaka, Valur Emilsson, Ramachandran S. Vasan, Xiuqing Guo, Yineng Zhu, Christophe Tzourio, Jerome I. Rotter, Keenan A. Walker, Luigi Ferrucci, Mika Kivimäki, Monique M. B. Breteler, Simon R. Cox, Stephanie Debette, Thomas H. Mosley, Vilmundur G. Gudnason, Lenore J. Launer, Bruce M. Psaty, Sudha Seshadri, and Myriam Fornage
Subjects: Biology (General), QH301-705.5
Abstract: Abstract Identifying circulating proteins associated with cognitive function may point to biomarkers and molecular process of cognitive impairment. Few studies have investigated the association between circulating proteins and cognitive function. We identify 246 protein measures quantified by the SomaScan assay as associated with cognitive function (p
Published: 2023
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7. ADRA2A and IRX1 are putative risk genes for Raynaud’s phenomenon

Author: Sylvia Hartmann, Summaira Yasmeen, Benjamin M. Jacobs, Spiros Denaxas, Munir Pirmohamed, Eric R. Gamazon, Mark J. Caulfield, Genes & Health Research Team, Harry Hemingway, Maik Pietzner, and Claudia Langenberg
Subjects: Science
Abstract: Abstract Raynaud’s phenomenon (RP) is a common vasospastic disorder that causes severe pain and ulcers, but despite its high reported heritability, no causal genes have been robustly identified. We conducted a genome-wide association study including 5,147 RP cases and 439,294 controls, based on diagnoses from electronic health records, and identified three unreported genomic regions associated with the risk of RP (p
Published: 2023
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8. Genetic determinants of complement activation in the general population

Author: Damia Noce, Luisa Foco, Dorothea Orth-Höller, Eva König, Giulia Barbieri, Maik Pietzner, Dariush Ghasemi-Semeskandeh, Stefan Coassin, Christian Fuchsberger, Martin Gögele, Fabiola Del Greco M., Alessandro De Grandi, Monika Summerer, Eleanor Wheeler, Claudia Langenberg, Cornelia Lass-Flörl, Peter Paul Pramstaller, Florian Kronenberg, Reinhard Würzner, and Cristian Pattaro
Subjects: CP: Genomics, CP: Immunology, Biology (General), QH301-705.5
Abstract: Summary: Complement is a fundamental innate immune response component. Its alterations are associated with severe systemic diseases. To illuminate the complement’s genetic underpinnings, we conduct genome-wide association studies of the functional activity of the classical (CP), lectin (LP), and alternative (AP) complement pathways in the Cooperative Health Research in South Tyrol study (n = 4,990). We identify seven loci, encompassing 13 independent, pathway-specific variants located in or near complement genes (CFHR4, C7, C2, MBL2) and non-complement genes (PDE3A, TNXB, ABO), explaining up to 74% of complement pathways’ genetic heritability and implicating long-range haplotypes associated with LP at MBL2. Two-sample Mendelian randomization analyses, supported by transcriptome- and proteome-wide colocalization, confirm known causal pathways, establish within-complement feedback loops, and implicate causality of ABO on LP and of CFHR2 and C7 on AP. LP causally influences collectin-11 and KAAG1 levels and the risk of mouth ulcers. These results build a comprehensive resource to investigate the role of complement in human health.
Published: 2024
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9. Genome-wide association analysis and Mendelian randomization proteomics identify drug targets for heart failure

Author: Danielle Rasooly, Gina M. Peloso, Alexandre C. Pereira, Hesam Dashti, Claudia Giambartolomei, Eleanor Wheeler, Nay Aung, Brian R. Ferolito, Maik Pietzner, Eric H. Farber-Eger, Quinn Stanton Wells, Nicole M. Kosik, Liam Gaziano, Daniel C. Posner, A. Patrícia Bento, Qin Hui, Chang Liu, Krishna Aragam, Zeyuan Wang, Brian Charest, Jennifer E. Huffman, Peter W. F. Wilson, Lawrence S. Phillips, John Whittaker, Patricia B. Munroe, Steffen E. Petersen, Kelly Cho, Andrew R. Leach, María Paula Magariños, John Michael Gaziano, VA Million Veteran Program, Claudia Langenberg, Yan V. Sun, Jacob Joseph, and Juan P. Casas
Subjects: Science
Abstract: Abstract We conduct a large-scale meta-analysis of heart failure genome-wide association studies (GWAS) consisting of over 90,000 heart failure cases and more than 1 million control individuals of European ancestry to uncover novel genetic determinants for heart failure. Using the GWAS results and blood protein quantitative loci, we perform Mendelian randomization and colocalization analyses on human proteins to provide putative causal evidence for the role of druggable proteins in the genesis of heart failure. We identify 39 genome-wide significant heart failure risk variants, of which 18 are previously unreported. Using a combination of Mendelian randomization proteomics and genetic cis-only colocalization analyses, we identify 10 additional putatively causal genes for heart failure. Findings from GWAS and Mendelian randomization-proteomics identify seven (CAMK2D, PRKD1, PRKD3, MAPK3, TNFSF12, APOC3 and NAE1) proteins as potential targets for interventions to be used in primary prevention of heart failure.
Published: 2023
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10. Causal associations between cardiorespiratory fitness and type 2 diabetes

Author: Lina Cai, Tomas Gonzales, Eleanor Wheeler, Nicola D. Kerrison, Felix R. Day, Claudia Langenberg, John R. B. Perry, Soren Brage, and Nicholas J. Wareham
Subjects: Science
Abstract: Abstract Higher cardiorespiratory fitness is associated with lower risk of type 2 diabetes. However, the causality of this relationship and the biological mechanisms that underlie it are unclear. Here, we examine genetic determinants of cardiorespiratory fitness in 450k European-ancestry individuals in UK Biobank, by leveraging the genetic overlap between fitness measured by an exercise test and resting heart rate. We identified 160 fitness-associated loci which we validated in an independent cohort, the Fenland study. Gene-based analyses prioritised candidate genes, such as CACNA1C, SCN10A, MYH11 and MYH6, that are enriched in biological processes related to cardiac muscle development and muscle contractility. In a Mendelian Randomisation framework, we demonstrate that higher genetically predicted fitness is causally associated with lower risk of type 2 diabetes independent of adiposity. Integration with proteomic data identified N-terminal pro B-type natriuretic peptide, hepatocyte growth factor-like protein and sex hormone-binding globulin as potential mediators of this relationship. Collectively, our findings provide insights into the biological mechanisms underpinning cardiorespiratory fitness and highlight the importance of improving fitness for diabetes prevention.
Published: 2023
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11. Elevated plasma complement factor H related 5 protein is associated with venous thromboembolism

Author: Maria Jesus Iglesias, Laura Sanchez-Rivera, Manal Ibrahim-Kosta, Clément Naudin, Gaëlle Munsch, Louisa Goumidi, Maria Farm, Philip M. Smith, Florian Thibord, Julia Barbara Kral-Pointner, Mun-Gwan Hong, Pierre Suchon, Marine Germain, Waltraud Schrottmaier, Philip Dusart, Anne Boland, David Kotol, Fredrik Edfors, Mine Koprulu, Maik Pietzner, Claudia Langenberg, Scott M. Damrauer, Andrew D. Johnson, Derek M. Klarin, Nicholas L. Smith, David M. Smadja, Margareta Holmström, Maria Magnusson, Angela Silveira, Mathias Uhlén, Thomas Renné, Angel Martinez-Perez, Joseph Emmerich, Jean-Francois Deleuze, Jovan Antovic, Jose Manuel Soria Fernandez, Alice Assinger, Jochen M. Schwenk, Joan Carles Souto Andres, Pierre-Emmanuel Morange, Lynn Marie Butler, David-Alexandre Trégouët, and Jacob Odeberg
Subjects: Science
Abstract: Abstract Venous thromboembolism (VTE) is a common, multi-causal disease with potentially serious short- and long-term complications. In clinical practice, there is a need for improved plasma biomarker-based tools for VTE diagnosis and risk prediction. Here we show, using proteomics profiling to screen plasma from patients with suspected acute VTE, and several case-control studies for VTE, how Complement Factor H Related 5 protein (CFHR5), a regulator of the alternative pathway of complement activation, is a VTE-associated plasma biomarker. In plasma, higher CFHR5 levels are associated with increased thrombin generation potential and recombinant CFHR5 enhanced platelet activation in vitro. GWAS analysis of ~52,000 participants identifies six loci associated with CFHR5 plasma levels, but Mendelian randomization do not demonstrate causality between CFHR5 and VTE. Our results indicate an important role for the regulation of the alternative pathway of complement activation in VTE and that CFHR5 represents a potential diagnostic and/or risk predictive plasma biomarker.
Published: 2023
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12. Circulating proteins to predict COVID-19 severity

Author: Chen-Yang Su, Sirui Zhou, Edgar Gonzalez-Kozlova, Guillaume Butler-Laporte, Elsa Brunet-Ratnasingham, Tomoko Nakanishi, Wonseok Jeon, David R. Morrison, Laetitia Laurent, Jonathan Afilalo, Marc Afilalo, Danielle Henry, Yiheng Chen, Julia Carrasco-Zanini, Yossi Farjoun, Maik Pietzner, Nofar Kimchi, Zaman Afrasiabi, Nardin Rezk, Meriem Bouab, Louis Petitjean, Charlotte Guzman, Xiaoqing Xue, Chris Tselios, Branka Vulesevic, Olumide Adeleye, Tala Abdullah, Noor Almamlouk, Yara Moussa, Chantal DeLuca, Naomi Duggan, Erwin Schurr, Nathalie Brassard, Madeleine Durand, Diane Marie Del Valle, Ryan Thompson, Mario A. Cedillo, Eric Schadt, Kai Nie, Nicole W. Simons, Konstantinos Mouskas, Nicolas Zaki, Manishkumar Patel, Hui Xie, Jocelyn Harris, Robert Marvin, Esther Cheng, Kevin Tuballes, Kimberly Argueta, Ieisha Scott, The Mount Sinai COVID-19 Biobank Team, Celia M. T. Greenwood, Clare Paterson, Michael A. Hinterberg, Claudia Langenberg, Vincenzo Forgetta, Joelle Pineau, Vincent Mooser, Thomas Marron, Noam D. Beckmann, Seunghee Kim-schulze, Alexander W. Charney, Sacha Gnjatic, Daniel E. Kaufmann, Miriam Merad, and J. Brent Richards
Subjects: Medicine, Science
Abstract: Abstract Predicting COVID-19 severity is difficult, and the biological pathways involved are not fully understood. To approach this problem, we measured 4701 circulating human protein abundances in two independent cohorts totaling 986 individuals. We then trained prediction models including protein abundances and clinical risk factors to predict COVID-19 severity in 417 subjects and tested these models in a separate cohort of 569 individuals. For severe COVID-19, a baseline model including age and sex provided an area under the receiver operator curve (AUC) of 65% in the test cohort. Selecting 92 proteins from the 4701 unique protein abundances improved the AUC to 88% in the training cohort, which remained relatively stable in the testing cohort at 86%, suggesting good generalizability. Proteins selected from different COVID-19 severity were enriched for cytokine and cytokine receptors, but more than half of the enriched pathways were not immune-related. Taken together, these findings suggest that circulating proteins measured at early stages of disease progression are reasonably accurate predictors of COVID-19 severity. Further research is needed to understand how to incorporate protein measurement into clinical care.
Published: 2023
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13. Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibility

Author: Fengzhe Xu, Evan Yi-Wen Yu, Xue Cai, Liang Yue, Li-peng Jing, Xinxiu Liang, Yuanqing Fu, Zelei Miao, Min Yang, Menglei Shuai, Wanglong Gou, Congmei Xiao, Zhangzhi Xue, Yuting Xie, Sainan Li, Sha Lu, Meiqi Shi, Xuhong Wang, Wensheng Hu, Claudia Langenberg, Jian Yang, Yu-ming Chen, Tiannan Guo, and Ju-Sheng Zheng
Subjects: Science
Abstract: Integrating genetic information with circulating proteomics can help understand mechanisms of disease. Here, the authors conduct genome-wide association analyses of the serum proteome in 2,958 Han Chinese individuals, uncovering proteins which may contribute to ancestry differences in cardiometabolic disease susceptibility.
Published: 2023
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14. Large scale phenotype imputation and in vivo functional validation implicate ADAMTS14 as an adiposity gene

Author: Katherine A. Kentistou, Jian’an Luan, Laura B. L. Wittemans, Catherine Hambly, Lucija Klaric, Zoltán Kutalik, John R. Speakman, Nicholas J. Wareham, Timothy J. Kendall, Claudia Langenberg, James F. Wilson, Peter K. Joshi, and Nicholas M. Morton
Subjects: Science
Abstract: Our understanding of the genetic contribution to human adiposity is incomplete, as few studies measure adiposity directly. Here, the authors impute whole-body imaging adiposity phenotypes in large biobanks, enhancing their power to discover genes driving human adiposity, and further investigate one such gene using a mouse model.
Published: 2023
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15. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

Author: Stavroula Kanoni, Sarah E. Graham, Yuxuan Wang, Ida Surakka, Shweta Ramdas, Xiang Zhu, Shoa L. Clarke, Konain Fatima Bhatti, Sailaja Vedantam, Thomas W. Winkler, Adam E. Locke, Eirini Marouli, Greg J. M. Zajac, Kuan-Han H. Wu, Ioanna Ntalla, Qin Hui, Derek Klarin, Austin T. Hilliard, Zeyuan Wang, Chao Xue, Gudmar Thorleifsson, Anna Helgadottir, Daniel F. Gudbjartsson, Hilma Holm, Isleifur Olafsson, Mi Yeong Hwang, Sohee Han, Masato Akiyama, Saori Sakaue, Chikashi Terao, Masahiro Kanai, Wei Zhou, Ben M. Brumpton, Humaira Rasheed, Aki S. Havulinna, Yogasudha Veturi, Jennifer Allen Pacheco, Elisabeth A. Rosenthal, Todd Lingren, QiPing Feng, Iftikhar J. Kullo, Akira Narita, Jun Takayama, Hilary C. Martin, Karen A. Hunt, Bhavi Trivedi, Jeffrey Haessler, Franco Giulianini, Yuki Bradford, Jason E. Miller, Archie Campbell, Kuang Lin, Iona Y. Millwood, Asif Rasheed, George Hindy, Jessica D. Faul, Wei Zhao, David R. Weir, Constance Turman, Hongyan Huang, Mariaelisa Graff, Ananyo Choudhury, Dhriti Sengupta, Anubha Mahajan, Michael R. Brown, Weihua Zhang, Ketian Yu, Ellen M. Schmidt, Anita Pandit, Stefan Gustafsson, Xianyong Yin, Jian’an Luan, Jing-Hua Zhao, Fumihiko Matsuda, Hye-Mi Jang, Kyungheon Yoon, Carolina Medina-Gomez, Achilleas Pitsillides, Jouke Jan Hottenga, Andrew R. Wood, Yingji Ji, Zishan Gao, Simon Haworth, Noha A. Yousri, Ruth E. Mitchell, Jin Fang Chai, Mette Aadahl, Anne A. Bjerregaard, Jie Yao, Ani Manichaikul, Chii-Min Hwu, Yi-Jen Hung, Helen R. Warren, Julia Ramirez, Jette Bork-Jensen, Line L. Kårhus, Anuj Goel, Maria Sabater-Lleal, Raymond Noordam, Pala Mauro, Floris Matteo, Aaron F. McDaid, Pedro Marques-Vidal, Matthias Wielscher, Stella Trompet, Naveed Sattar, Line T. Møllehave, Matthias Munz, Lingyao Zeng, Jianfeng Huang, Bin Yang, Alaitz Poveda, Azra Kurbasic, Claudia Lamina, Lukas Forer, Markus Scholz, Tessel E. Galesloot, Jonathan P. Bradfield, Sanni E. Ruotsalainen, EWarwick Daw, Joseph M. Zmuda, Jonathan S. Mitchell, Christian Fuchsberger, Henry Christensen, Jennifer A. Brody, Miguel Vazquez-Moreno, Mary F. Feitosa, Mary K. Wojczynski, Zhe Wang, Michael H. Preuss, Massimo Mangino, Paraskevi Christofidou, Niek Verweij, Jan W. Benjamins, Jorgen Engmann, Noah L. Tsao, Anurag Verma, Roderick C. Slieker, Ken Sin Lo, Nuno R. Zilhao, Phuong Le, Marcus E. Kleber, Graciela E. Delgado, Shaofeng Huo, Daisuke D. Ikeda, Hiroyuki Iha, Jian Yang, Jun Liu, Ayşe Demirkan, Hampton L. Leonard, Jonathan Marten, Mirjam Frank, Börge Schmidt, Laura J. Smyth, Marisa Cañadas-Garre, Chaolong Wang, Masahiro Nakatochi, Andrew Wong, Nina Hutri-Kähönen, Xueling Sim, Rui Xia, Alicia Huerta-Chagoya, Juan Carlos Fernandez-Lopez, Valeriya Lyssenko, Suraj S. Nongmaithem, Swati Bayyana, Heather M. Stringham, Marguerite R. Irvin, Christopher Oldmeadow, Han-Na Kim, Seungho Ryu, Paul R. H. J. Timmers, Liubov Arbeeva, Rajkumar Dorajoo, Leslie A. Lange, Gauri Prasad, Laura Lorés-Motta, Marc Pauper, Jirong Long, Xiaohui Li, Elizabeth Theusch, Fumihiko Takeuchi, Cassandra N. Spracklen, Anu Loukola, Sailalitha Bollepalli, Sophie C. Warner, Ya Xing Wang, Wen B. Wei, Teresa Nutile, Daniela Ruggiero, Yun Ju Sung, Shufeng Chen, Fangchao Liu, Jingyun Yang, Katherine A. Kentistou, Bernhard Banas, Giuseppe Giovanni Nardone, Karina Meidtner, Lawrence F. Bielak, Jennifer A. Smith, Prashantha Hebbar, Aliki-Eleni Farmaki, Edith Hofer, Maoxuan Lin, Maria Pina Concas, Simona Vaccargiu, Peter J. van der Most, Niina Pitkänen, Brian E. Cade, Sander W. van der Laan, Kumaraswamy Naidu Chitrala, Stefan Weiss, Amy R. Bentley, Ayo P. Doumatey, Adebowale A. Adeyemo, Jong Young Lee, Eva R. B. Petersen, Aneta A. Nielsen, Hyeok Sun Choi, Maria Nethander, Sandra Freitag-Wolf, Lorraine Southam, Nigel W. Rayner, Carol A. Wang, Shih-Yi Lin, Jun-Sing Wang, Christian Couture, Leo-Pekka Lyytikäinen, Kjell Nikus, Gabriel Cuellar-Partida, Henrik Vestergaard, Bertha Hidalgo, Olga Giannakopoulou, Qiuyin Cai, Morgan O. Obura, Jessica van Setten, Xiaoyin Li, Jingjing Liang, Hua Tang, Natalie Terzikhan, Jae Hun Shin, Rebecca D. Jackson, Alexander P. Reiner, Lisa Warsinger Martin, Zhengming Chen, Liming Li, Takahisa Kawaguchi, Joachim Thiery, Joshua C. Bis, Lenore J. Launer, Huaixing Li, Mike A. Nalls, Olli T. Raitakari, Sahoko Ichihara, Sarah H. Wild, Christopher P. Nelson, Harry Campbell, Susanne Jäger, Toru Nabika, Fahd Al-Mulla, Harri Niinikoski, Peter S. Braund, Ivana Kolcic, Peter Kovacs, Tota Giardoglou, Tomohiro Katsuya, Dominique de Kleijn, Gert J. de Borst, Eung Kweon Kim, Hieab H. H. Adams, M. Arfan Ikram, Xiaofeng Zhu, Folkert W. Asselbergs, Adriaan O. Kraaijeveld, Joline W. J. Beulens, Xiao-Ou Shu, Loukianos S. Rallidis, Oluf Pedersen, Torben Hansen, Paul Mitchell, Alex W. Hewitt, Mika Kähönen, Louis Pérusse, Claude Bouchard, Anke Tönjes, Yii-Der Ida Chen, Craig E. Pennell, Trevor A. Mori, Wolfgang Lieb, Andre Franke, Claes Ohlsson, Dan Mellström, Yoon Shin Cho, Hyejin Lee, Jian-Min Yuan, Woon-Puay Koh, Sang Youl Rhee, Jeong-Taek Woo, Iris M. Heid, Klaus J. Stark, Martina E. Zimmermann, Henry Völzke, Georg Homuth, Michele K. Evans, Alan B. Zonderman, Ozren Polasek, Gerard Pasterkamp, Imo E. Hoefer, Susan Redline, Katja Pahkala, Albertine J. Oldehinkel, Harold Snieder, Ginevra Biino, Reinhold Schmidt, Helena Schmidt, Stefania Bandinelli, George Dedoussis, Thangavel Alphonse Thanaraj, Sharon L. R. Kardia, Patricia A. Peyser, Norihiro Kato, Matthias B. Schulze, Giorgia Girotto, Carsten A. Böger, Bettina Jung, Peter K. Joshi, David A. Bennett, Philip L. De Jager, Xiangfeng Lu, Vasiliki Mamakou, Morris Brown, Mark J. Caulfield, Patricia B. Munroe, Xiuqing Guo, Marina Ciullo, Jost B. Jonas, Nilesh J. Samani, Jaakko Kaprio, Päivi Pajukanta, Teresa Tusié-Luna, Carlos A. Aguilar-Salinas, Linda S. Adair, Sonny Augustin Bechayda, H. Janaka de Silva, Ananda R. Wickremasinghe, Ronald M. Krauss, Jer-Yuarn Wu, Wei Zheng, Anneke Iden Hollander, Dwaipayan Bharadwaj, Adolfo Correa, James G. Wilson, Lars Lind, Chew-Kiat Heng, Amanda E. Nelson, Yvonne M. Golightly, James F. Wilson, Brenda Penninx, Hyung-Lae Kim, John Attia, Rodney J. Scott, D. C. Rao, Donna K. Arnett, Steven C. Hunt, Mark Walker, Heikki A. Koistinen, Giriraj R. Chandak, Josep M. Mercader, Maria C. Costanzo, Dongkeun Jang, Noël P. Burtt, Clicerio Gonzalez Villalpando, Lorena Orozco, Myriam Fornage, EShyong Tai, Rob M. van Dam, Terho Lehtimäki, Nish Chaturvedi, Mitsuhiro Yokota, Jianjun Liu, Dermot F. Reilly, Amy Jayne McKnight, Frank Kee, Karl-Heinz Jöckel, Mark I. McCarthy, Colin N. A. Palmer, Veronique Vitart, Caroline Hayward, Eleanor Simonsick, Cornelia M. van Duijn, Zi-Bing Jin, Jia Qu, Haretsugu Hishigaki, Xu Lin, Winfried März, Vilmundur Gudnason, Jean-Claude Tardif, Guillaume Lettre, Leen M.‘t Hart, Petra J. M. Elders, Scott M. Damrauer, Meena Kumari, Mika Kivimaki, Pim van der Harst, Tim D. Spector, Ruth J. F. Loos, Michael A. Province, Esteban J. Parra, Miguel Cruz, Bruce M. Psaty, Ivan Brandslund, Peter P. Pramstaller, Charles N. Rotimi, Kaare Christensen, Samuli Ripatti, Elisabeth Widén, Hakon Hakonarson, Struan F. A. Grant, Lambertus A. L. M. Kiemeney, Jacqueline de Graaf, Markus Loeffler, Florian Kronenberg, Dongfeng Gu, Jeanette Erdmann, Heribert Schunkert, Paul W. Franks, Allan Linneberg, J. Wouter Jukema, Amit V. Khera, Minna Männikkö, Marjo-Riitta Jarvelin, Zoltan Kutalik, Cucca Francesco, Dennis O. Mook-Kanamori, Ko Willems van Dijk, Hugh Watkins, David P. Strachan, Niels Grarup, Peter Sever, Neil Poulter, Lee-Ming Chuang, Jerome I. Rotter, Thomas M. Dantoft, Fredrik Karpe, Matt J. Neville, Nicholas J. Timpson, Ching-Yu Cheng, Tien-Yin Wong, Chiea Chuen Khor, Hengtong Li, Charumathi Sabanayagam, Annette Peters, Christian Gieger, Andrew T. Hattersley, Nancy L. Pedersen, Patrik K. E. Magnusson, Dorret I. Boomsma, Allegonda H. M. Willemsen, LAdrienne Cupples, Joyce B. J. van Meurs, Mohsen Ghanbari, Penny Gordon-Larsen, Wei Huang, Young Jin Kim, Yasuharu Tabara, Nicholas J. Wareham, Claudia Langenberg, Eleftheria Zeggini, Johanna Kuusisto, Markku Laakso, Erik Ingelsson, Goncalo Abecasis, John C. Chambers, Jaspal S. Kooner, Paul S. de Vries, Alanna C. Morrison, Scott Hazelhurst, Michèle Ramsay, Kari E. North, Martha Daviglus, Peter Kraft, Nicholas G. Martin, John B. Whitfield, Shahid Abbas, Danish Saleheen, Robin G. Walters, Michael V. Holmes, Corri Black, Blair H. Smith, Aris Baras, Anne E. Justice, Julie E. Buring, Paul M. Ridker, Daniel I. Chasman, Charles Kooperberg, Gen Tamiya, Masayuki Yamamoto, David A. van Heel, Richard C. Trembath, Wei-Qi Wei, Gail P. Jarvik, Bahram Namjou, M. Geoffrey Hayes, Marylyn D. Ritchie, Pekka Jousilahti, Veikko Salomaa, Kristian Hveem, Bjørn Olav Åsvold, Michiaki Kubo, Yoichiro Kamatani, Yukinori Okada, Yoshinori Murakami, Bong-Jo Kim, Unnur Thorsteinsdottir, Kari Stefansson, Jifeng Zhang, YEugene Chen, Yuk-Lam Ho, Julie A. Lynch, Daniel J. Rader, Philip S. Tsao, Kyong-Mi Chang, Kelly Cho, Christopher J. O’Donnell, John M. Gaziano, Peter W. F. Wilson, Timothy M. Frayling, Joel N. Hirschhorn, Sekar Kathiresan, Karen L. Mohlke, Yan V. Sun, Andrew P. Morris, Michael Boehnke, Christopher D. Brown, Pradeep Natarajan, Panos Deloukas, Cristen J. Willer, Themistocles L. Assimes, and Gina M. Peloso
Subjects: Cholesterol, Lipids, Genetics, Genome-wide association study, GWAS, Biology (General), QH301-705.5, QH426-470
Abstract: Abstract Background Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery. Results To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches. Using phenome-wide association (PheWAS) scans, we identify relationships of genetically predicted lipid levels to other diseases and conditions. We confirm known pleiotropic associations with cardiovascular phenotypes and determine novel associations, notably with cholelithiasis risk. We perform sex-stratified GWAS meta-analysis of lipid levels and show that 3–5% of autosomal lipid-associated loci demonstrate sex-biased effects. Finally, we report 21 novel lipid loci identified on the X chromosome. Many of the sex-biased autosomal and X chromosome lipid loci show pleiotropic associations with sex hormones, emphasizing the role of hormone regulation in lipid metabolism. Conclusions Taken together, our findings provide insights into the biological mechanisms through which associated variants lead to altered lipid levels and potentially cardiovascular disease risk.
Published: 2022
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16. ELF5 is a potential respiratory epithelial cell-specific risk gene for severe COVID-19

Author: Maik Pietzner, Robert Lorenz Chua, Eleanor Wheeler, Katharina Jechow, Julian D. S. Willett, Helena Radbruch, Saskia Trump, Bettina Heidecker, Hugo Zeberg, Frank L. Heppner, Roland Eils, Marcus A. Mall, J. Brent Richards, Leif-Erik Sander, Irina Lehmann, Sören Lukassen, Nicholas J. Wareham, Christian Conrad, and Claudia Langenberg
Subjects: Science
Abstract: Genetic factors have been found to be associated with severe COVID-19. Here, the authors integrated genomic, proteomic, and single-cell data to identify ELF5 as a candidate risk gene with a possible role in respiratory epithelial cells, which are targeted by SARS-CoV-2.
Published: 2022
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17. Performance of polygenic risk scores in screening, prediction, and risk stratification: secondary analysis of data in the Polygenic Score Catalog

Author: Joan K Morris, Reecha Sofat, Claudia Langenberg, Nicholas J Wald, Valerie Kuan, Chris Finan, Jasmine Gratton, and A Floriaan Schmidt
Subjects: Medicine
Abstract: Objective To clarify the performance of polygenic risk scores in population screening, individual risk prediction, and population risk stratification.Design Secondary analysis of data in the Polygenic Score Catalog.Setting Polygenic Score Catalog, April 2022. Secondary analysis of 3915 performance metric estimates for 926 polygenic risk scores for 310 diseases to generate estimates of performance in population screening, individual risk, and population risk stratification.Participants Individuals contributing to the published studies in the Polygenic Score Catalog.Main outcome measures Detection rate for a 5% false positive rate (DR5) and the population odds of becoming affected given a positive result; individual odds of becoming affected for a person with a particular polygenic score; and odds of becoming affected for groups of individuals in different portions of a polygenic risk score distribution. Coronary artery disease and breast cancer were used as illustrative examples.Results For performance in population screening, median DR5 for all polygenic risk scores and all diseases studied was 11% (interquartile range 8-18%). Median DR5 was 12% (9-19%) for polygenic risk scores for coronary artery disease and 10% (9-12%) for breast cancer. The population odds of becoming affected given a positive results were 1:8 for coronary artery disease and 1:21 for breast cancer, with background 10 year odds of 1:19 and 1:41, respectively, which are typical for these diseases at age 50. For individual risk prediction, the corresponding 10 year odds of becoming affected for individuals aged 50 with a polygenic risk score at the 2.5th, 25th, 75th, and 97.5th centiles were 1:54, 1:29, 1:15, and 1:8 for coronary artery disease and 1:91, 1:56, 1:34, and 1:21 for breast cancer. In terms of population risk stratification, at age 50, the risk of coronary artery disease was divided into five groups, with 10 year odds of 1:41 and 1:11 for the lowest and highest quintile groups, respectively. The 10 year odds was 1:7 for the upper 2.5% of the polygenic risk score distribution for coronary artery disease, a group that contributed 7% of cases. The corresponding estimates for breast cancer were 1:72 and 1:26 for the lowest and highest quintile groups, and 1:19 for the upper 2.5% of the distribution, which contributed 6% of cases.Conclusion Polygenic risk scores performed poorly in population screening, individual risk prediction, and population risk stratification. Strong claims about the effect of polygenic risk scores on healthcare seem to be disproportionate to their performance.
Published: 2023
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18. Author Correction: Elevated plasma complement factor H related 5 protein is associated with venous thromboembolism

Author: Maria Jesus Iglesias, Laura Sanchez-Rivera, Manal Ibrahim-Kosta, Clément Naudin, Gaëlle Munsch, Louisa Goumidi, Maria Farm, Philip M. Smith, Florian Thibord, Julia Barbara Kral-Pointner, Mun-Gwan Hong, Pierre Suchon, Marine Germain, Waltraud Schrottmaier, Philip Dusart, Anne Boland, David Kotol, Fredrik Edfors, Mine Koprulu, Maik Pietzner, Claudia Langenberg, Scott M. Damrauer, Andrew D. Johnson, Derek M. Klarin, Nicholas L. Smith, David M. Smadja, Margareta Holmström, Maria Magnusson, Angela Silveira, Mathias Uhlén, Thomas Renné, Angel Martinez-Perez, Joseph Emmerich, Jean-Francois Deleuze, Jovan Antovic, Jose Manuel Soria Fernandez, Alice Assinger, Jochen M. Schwenk, Joan Carles Souto Andres, Pierre-Emmanuel Morange, Lynn Marie Butler, David-Alexandre Trégouët, and Jacob Odeberg
Subjects: Science
Published: 2023
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19. Causal effects of maternal circulating amino acids on offspring birthweight: a Mendelian randomisation studyResearch in context

Author: Jian Zhao, Isobel D. Stewart, Denis Baird, Dan Mason, John Wright, Jie Zheng, Tom R. Gaunt, David M. Evans, Rachel M. Freathy, Claudia Langenberg, Nicole M. Warrington, Deborah A. Lawlor, and Maria Carolina Borges
Subjects: Amino acids, Birthweight, GWAS, Mendelian randomisation, Causal effect, Medicine, Medicine (General), R5-920
Abstract: Summary: Background: Amino acids are key to protein synthesis, energy metabolism, cell signaling and gene expression; however, the contribution of specific maternal amino acids to fetal growth is unclear. Methods: We explored the effect of maternal circulating amino acids on fetal growth, proxied by birthweight, using two-sample Mendelian randomisation (MR) and summary data from a genome-wide association study (GWAS) of serum amino acids levels (sample 1, n = 86,507) and a maternal GWAS of offspring birthweight in UK Biobank and Early Growth Genetics Consortium, adjusting for fetal genotype effects (sample 2, n = 406,063 with maternal and/or fetal genotype effect estimates). A total of 106 independent single nucleotide polymorphisms robustly associated with 19 amino acids (p
Published: 2023
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20. Mapping the serum proteome to neurological diseases using whole genome sequencing

Author: Grace Png, Andrei Barysenka, Linda Repetto, Pau Navarro, Xia Shen, Maik Pietzner, Eleanor Wheeler, Nicholas J. Wareham, Claudia Langenberg, Emmanouil Tsafantakis, Maria Karaleftheri, George Dedoussis, Anders Mälarstig, James F. Wilson, Arthur Gilly, and Eleftheria Zeggini
Subjects: Science
Abstract: Serum proteins are easily accessible biomarkers and drug targets. Here, the authors use whole genome sequencing data to describe the genetic architecture of neurologically-relevant serum proteins and establish causal protein-neurological disease relationships.
Published: 2021
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21. The genomics of heart failure: design and rationale of the HERMES consortium

Author: R. Thomas Lumbers, Sonia Shah, Honghuang Lin, Tomasz Czuba, Albert Henry, Daniel I. Swerdlow, Anders Mälarstig, Charlotte Andersson, Niek Verweij, Michael V. Holmes, Johan Ärnlöv, Per Svensson, Harry Hemingway, Neneh Sallah, Peter Almgren, Krishna G. Aragam, Geraldine Asselin, Joshua D. Backman, Mary L. Biggs, Heather L. Bloom, Eric Boersma, Jeffrey Brandimarto, Michael R. Brown, Hans‐Peter Brunner‐La Rocca, David J. Carey, Mark D. Chaffin, Daniel I. Chasman, Olympe Chazara, Xing Chen, Xu Chen, Jonathan H. Chung, William Chutkow, John G.F. Cleland, James P. Cook, Simon deDenus, Abbas Dehghan, Graciela E. Delgado, Spiros Denaxas, Alexander S. Doney, Marcus Dörr, Samuel C. Dudley, Gunnar Engström, Tõnu Esko, Ghazaleh Fatemifar, Stephan B. Felix, Chris Finan, Ian Ford, Francoise Fougerousse, René Fouodjio, Mohsen Ghanbari, Sahar Ghasemi, Vilmantas Giedraitis, Franco Giulianini, John S. Gottdiener, Stefan Gross, Daníel F. Guðbjartsson, Hongsheng Gui, Rebecca Gutmann, Christopher M. Haggerty, Pim van derHarst, Åsa K. Hedman, Anna Helgadottir, Hans Hillege, Craig L. Hyde, Jaison Jacob, J. Wouter Jukema, Frederick Kamanu, Isabella Kardys, Maryam Kavousi, Kay‐Tee Khaw, Marcus E. Kleber, Lars Køber, Andrea Koekemoer, Bill Kraus, Karoline Kuchenbaecker, Claudia Langenberg, Lars Lind, Cecilia M. Lindgren, Barry London, Luca A. Lotta, Ruth C. Lovering, Jian'an Luan, Patrik Magnusson, Anubha Mahajan, Douglas Mann, Kenneth B. Margulies, Nicholas A. Marston, Winfried März, John J.V. McMurray, Olle Melander, Giorgio Melloni, Ify R. Mordi, Michael P. Morley, Andrew D. Morris, Andrew P. Morris, Alanna C. Morrison, Michael W. Nagle, Christopher P. Nelson, Christopher Newton‐Cheh, Alexander Niessner, Teemu Niiranen, Christoph Nowak, Michelle L. O'Donoghue, Anjali T. Owens, Colin N.A. Palmer, Guillaume Paré, Markus Perola, Louis‐Philippe Lemieux Perreault, Eliana Portilla‐Fernandez, Bruce M. Psaty, Kenneth M. Rice, Paul M. Ridker, Simon P.R. Romaine, Carolina Roselli, Jerome I. Rotter, Christian T. Ruff, Marc S. Sabatine, Perttu Salo, Veikko Salomaa, Jessica vanSetten, Alaa A. Shalaby, Diane T. Smelser, Nicholas L. Smith, Kari Stefansson, Steen Stender, David J. Stott, Garðar Sveinbjörnsson, Mari‐Liis Tammesoo, Jean‐Claude Tardif, Kent D. Taylor, Maris Teder‐Laving, Alexander Teumer, Guðmundur Thorgeirsson, Unnur Thorsteinsdottir, Christian Torp‐Pedersen, Stella Trompet, Danny Tuckwell, Benoit Tyl, Andre G. Uitterlinden, Felix Vaura, Abirami Veluchamy, Peter M. Visscher, Uwe Völker, Adriaan A. Voors, Xiaosong Wang, Nicholas J. Wareham, Peter E. Weeke, Raul Weiss, Harvey D. White, Kerri L. Wiggins, Heming Xing, Jian Yang, Yifan Yang, Laura M. Yerges‐Armstrong, Bing Yu, Faiez Zannad, Faye Zhao, Regeneron Genetics Center, Jemma B. Wilk, Hilma Holm, Naveed Sattar, Steven A. Lubitz, David E. Lanfear, Svati Shah, Michael E. Dunn, Quinn S. Wells, Folkert W. Asselbergs, Aroon D. Hingorani, Marie‐Pierre Dubé, Nilesh J. Samani, Chim C. Lang, Thomas P. Cappola, Patrick T. Ellinor, Ramachandran S. Vasan, and J. Gustav Smith
Subjects: Heart failure, Cardiomyopathy, Genetics, Biomarkers, Association studies, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Abstract Aims The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure. Methods and results The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome‐wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow‐up following heart failure diagnosis ranged from 2 to 116 months. Forty‐nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34–90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of ≥1.10 for common variants (allele frequency ≥ 0.05) and ≥1.20 for low‐frequency variants (allele frequency 0.01–0.05) at P
Published: 2021
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22. Synergistic insights into human health from aptamer- and antibody-based proteomic profiling

Author: Maik Pietzner, Eleanor Wheeler, Julia Carrasco-Zanini, Nicola D. Kerrison, Erin Oerton, Mine Koprulu, Jian’an Luan, Aroon D. Hingorani, Steve A. Williams, Nicholas J. Wareham, and Claudia Langenberg
Subjects: Science
Abstract: Broad-capture affinity-based proteomic technologies inform how the readout of our genes affects human health. Here, the authors integrate aptamer- and antibody-based profiling to understand the mechanisms underlying gene-protein-disease associations.
Published: 2021
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23. GIGYF1 loss of function is associated with clonal mosaicism and adverse metabolic health

Author: Yajie Zhao, Stasa Stankovic, Mine Koprulu, Eleanor Wheeler, Felix R. Day, Hana Lango Allen, Nicola D. Kerrison, Maik Pietzner, Po-Ru Loh, Nicholas J. Wareham, Claudia Langenberg, Ken K. Ong, and John R. B. Perry
Subjects: Science
Abstract: Mosaic loss of chromosome Y (LOY) is a common form of clonal mosaicism in leukocytes. Here, the authors extend genetic association analyses to rare variation using exome-sequence data from 82,277 males, finding that loss-of-function alleles in GIGYF1 are associated with six-fold higher susceptibility to both LOY and Type 2 Diabetes.
Published: 2021
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24. HOTAIR interacts with PRC2 complex regulating the regional preadipocyte transcriptome and human fat distribution

Author: Feng-Chih Kuo, Matt J. Neville, Rugivan Sabaratnam, Agata Wesolowska-Andersen, Daniel Phillips, Laura B.L. Wittemans, Andrea D. van Dam, Nellie Y. Loh, Marijana Todorčević, Nathan Denton, Katherine A. Kentistou, Peter K. Joshi, Constantinos Christodoulides, Claudia Langenberg, Philippe Collas, Fredrik Karpe, and Katherine E. Pinnick
Subjects: subcutaneous adipose tissue, fat distribution, lncRNA, HOTAIR, adipogenesis, epigenetic regulation, Biology (General), QH301-705.5
Abstract: Summary: Mechanisms governing regional human adipose tissue (AT) development remain undefined. Here, we show that the long non-coding RNA HOTAIR (HOX transcript antisense RNA) is exclusively expressed in gluteofemoral AT, where it is essential for adipocyte development. We find that HOTAIR interacts with polycomb repressive complex 2 (PRC2) and we identify core HOTAIR-PRC2 target genes involved in adipocyte lineage determination. Repression of target genes coincides with PRC2 promoter occupancy and H3K27 trimethylation. HOTAIR is also involved in modifying the gluteal adipocyte transcriptome through alternative splicing. Gluteal-specific expression of HOTAIR is maintained by defined regions of open chromatin across the HOTAIR promoter. HOTAIR expression levels can be modified by hormonal (estrogen, glucocorticoids) and genetic variation (rs1443512 is a HOTAIR eQTL associated with reduced gynoid fat mass). These data identify HOTAIR as a dynamic regulator of the gluteal adipocyte transcriptome and epigenome with functional importance for human regional AT development.
Published: 2022
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25. Genetic disruption of serine biosynthesis is a key driver of macular telangiectasia type 2 aetiology and progression

Author: Roberto Bonelli, Brendan R. E. Ansell, Luca Lotta, Thomas Scerri, Traci E. Clemons, Irene Leung, The MacTel Consortium, Tunde Peto, Alan C. Bird, Ferenc B. Sallo, Claudia Langenberg, and Melanie Bahlo
Subjects: Retinal disease, Mendelian randomisation, Metabolomics, GWAS, Serine, Medicine, Genetics, QH426-470
Abstract: Abstract Background Macular telangiectasia type 2 (MacTel) is a rare, heritable and largely untreatable retinal disorder, often comorbid with diabetes. Genetic risk loci subtend retinal vascular calibre and glycine/serine/threonine metabolism genes. Serine deficiency may contribute to MacTel via neurotoxic deoxysphingolipid production; however, an independent vascular contribution is also suspected. Here, we use statistical genetics to dissect the causal mechanisms underpinning this complex disease. Methods We integrated genetic markers for MacTel, vascular and metabolic traits, and applied Mendelian randomisation and conditional and interaction genome-wide association analyses to discover the causal contributors to both disease and spatial retinal imaging sub-phenotypes. Results Genetically induced serine deficiency is the primary causal metabolic driver of disease occurrence and progression, with a lesser, but significant, causal contribution of type 2 diabetes genetic risk. Conversely, glycine, threonine and retinal vascular traits are unlikely to be causal for MacTel. Conditional regression analysis identified three novel disease loci independent of endogenous serine biosynthetic capacity. By aggregating spatial retinal phenotypes into endophenotypes, we demonstrate that SNPs constituting independent risk loci act via related endophenotypes. Conclusions Follow-up studies after GWAS integrating publicly available data with deep phenotyping are still rare. Here, we describe such analysis, where we integrated retinal imaging data with MacTel and other traits genomics data to identify biochemical mechanisms likely causing this disorder. Our findings will aid in early diagnosis and accurate prognosis of MacTel and improve prospects for effective therapeutic intervention. Our integrative genetics approach also serves as a useful template for post-GWAS analyses in other disorders.
Published: 2021
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26. Genome-wide studies reveal factors associated with circulating uromodulin and its relationships to complex diseases

Author: Yong Li, Yurong Cheng, Francesco Consolato, Guglielmo Schiano, Michael R. Chong, Maik Pietzner, Ngoc Quynh H. Nguyen, Nora Scherer, Mary L. Biggs, Marcus E. Kleber, Stefan Haug, Burulça Göçmen, Marie Pigeyre, Peggy Sekula, Inga Steinbrenner, Pascal Schlosser, Christina B. Joseph, Jennifer A. Brody, Morgan E. Grams, Caroline Hayward, Ulla T. Schultheiss, Bernhard K. Krämer, Florian Kronenberg, Annette Peters, Jochen Seissler, Dominik Steubl, Cornelia Then, Matthias Wuttke, Winfried März, Kai-Uwe Eckardt, Christian Gieger, Eric Boerwinkle, Bruce M. Psaty, Josef Coresh, Peter J. Oefner, Guillaume Pare, Claudia Langenberg, Jürgen E. Scherberich, Bing Yu, Shreeram Akilesh, Olivier Devuyst, Luca Rampoldi, and Anna Köttgen
Subjects: Genetics, Nephrology, Medicine
Abstract: Uromodulin (UMOD) is a major risk gene for monogenic and complex forms of kidney disease. The encoded kidney-specific protein uromodulin is highly abundant in urine and related to chronic kidney disease, hypertension, and pathogen defense. To gain insights into potential systemic roles, we performed genome-wide screens of circulating uromodulin using complementary antibody-based and aptamer-based assays. We detected 3 and 10 distinct significant loci, respectively. Integration of antibody-based results at the UMOD locus with functional genomics data (RNA-Seq, ATAC-Seq, Hi-C) of primary human kidney tissue highlighted an upstream variant with differential accessibility and transcription in uromodulin-synthesizing kidney cells as underlying the observed cis effect. Shared association patterns with complex traits, including chronic kidney disease and blood pressure, placed the PRKAG2 locus in the same pathway as UMOD. Experimental validation of the third antibody-based locus, B4GALNT2, showed that the p.Cys466Arg variant of the encoded N-acetylgalactosaminyltransferase had a loss-of-function effect leading to higher serum uromodulin levels. Aptamer-based results pointed to enzymes writing glycan marks present on uromodulin and to their receptors in the circulation, suggesting that this assay permits investigating uromodulin’s complex glycosylation rather than its quantitative levels. Overall, our study provides insights into circulating uromodulin and its emerging functions.
Published: 2022
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27. Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women

Author: Garan Jones, Katerina Trajanoska, Adam J. Santanasto, Najada Stringa, Chia-Ling Kuo, Janice L. Atkins, Joshua R. Lewis, ThuyVy Duong, Shengjun Hong, Mary L. Biggs, Jian’an Luan, Chloe Sarnowski, Kathryn L. Lunetta, Toshiko Tanaka, Mary K. Wojczynski, Ryan Cvejkus, Maria Nethander, Sahar Ghasemi, Jingyun Yang, M. Carola Zillikens, Stefan Walter, Kamil Sicinski, Erika Kague, Cheryl L. Ackert-Bicknell, Dan E. Arking, B. Gwen Windham, Eric Boerwinkle, Megan L. Grove, Misa Graff, Dominik Spira, Ilja Demuth, Nathalie van der Velde, Lisette C. P. G. M. de Groot, Bruce M. Psaty, Michelle C. Odden, Alison E. Fohner, Claudia Langenberg, Nicholas J. Wareham, Stefania Bandinelli, Natasja M. van Schoor, Martijn Huisman, Qihua Tan, Joseph Zmuda, Dan Mellström, Magnus Karlsson, David A. Bennett, Aron S. Buchman, Philip L. De Jager, Andre G. Uitterlinden, Uwe Völker, Thomas Kocher, Alexander Teumer, Leocadio Rodriguéz-Mañas, Francisco J. García, José A. Carnicero, Pamela Herd, Lars Bertram, Claes Ohlsson, Joanne M. Murabito, David Melzer, George A. Kuchel, Luigi Ferrucci, David Karasik, Fernando Rivadeneira, Douglas P. Kiel, and Luke C. Pilling
Subjects: Science
Abstract: Muscle weakness has been associated with morbidity and mortality in older people. Here, the authors have investigated this trait further by performing a genome-wide meta-analysis of grip strength and Mendelian randomization to discover causal relationships between muscle weakness and other diseases.
Published: 2021
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28. Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability

Author: Vasiliki Lagou, Reedik Mägi, Jouke- Jan Hottenga, Harald Grallert, John R. B. Perry, Nabila Bouatia-Naji, Letizia Marullo, Denis Rybin, Rick Jansen, Josine L. Min, Antigone S. Dimas, Anna Ulrich, Liudmila Zudina, Jesper R. Gådin, Longda Jiang, Alessia Faggian, Amélie Bonnefond, Joao Fadista, Maria G. Stathopoulou, Aaron Isaacs, Sara M. Willems, Pau Navarro, Toshiko Tanaka, Anne U. Jackson, May E. Montasser, Jeff R. O’Connell, Lawrence F. Bielak, Rebecca J. Webster, Richa Saxena, Jeanette M. Stafford, Beate St Pourcain, Nicholas J. Timpson, Perttu Salo, So-Youn Shin, Najaf Amin, Albert V. Smith, Guo Li, Niek Verweij, Anuj Goel, Ian Ford, Paul C. D. Johnson, Toby Johnson, Karen Kapur, Gudmar Thorleifsson, Rona J. Strawbridge, Laura J. Rasmussen-Torvik, Tõnu Esko, Evelin Mihailov, Tove Fall, Ross M. Fraser, Anubha Mahajan, Stavroula Kanoni, Vilmantas Giedraitis, Marcus E. Kleber, Günther Silbernagel, Julia Meyer, Martina Müller-Nurasyid, Andrea Ganna, Antti-Pekka Sarin, Loic Yengo, Dmitry Shungin, Jian’an Luan, Momoko Horikoshi, Ping An, Serena Sanna, Yvonne Boettcher, N. William Rayner, Ilja M. Nolte, Tatijana Zemunik, Erik van Iperen, Peter Kovacs, Nicholas D. Hastie, Sarah H. Wild, Stela McLachlan, Susan Campbell, Ozren Polasek, Olga Carlson, Josephine Egan, Wieland Kiess, Gonneke Willemsen, Johanna Kuusisto, Markku Laakso, Maria Dimitriou, Andrew A. Hicks, Rainer Rauramaa, Stefania Bandinelli, Barbara Thorand, Yongmei Liu, Iva Miljkovic, Lars Lind, Alex Doney, Markus Perola, Aroon Hingorani, Mika Kivimaki, Meena Kumari, Amanda J. Bennett, Christopher J. Groves, Christian Herder, Heikki A. Koistinen, Leena Kinnunen, Ulf de Faire, Stephan J. L. Bakker, Matti Uusitupa, Colin N. A. Palmer, J. Wouter Jukema, Naveed Sattar, Anneli Pouta, Harold Snieder, Eric Boerwinkle, James S. Pankow, Patrik K. Magnusson, Ulrika Krus, Chiara Scapoli, Eco J. C. N. de Geus, Matthias Blüher, Bruce H. R. Wolffenbuttel, Michael A. Province, Goncalo R. Abecasis, James B. Meigs, G. Kees Hovingh, Jaana Lindström, James F. Wilson, Alan F. Wright, George V. Dedoussis, Stefan R. Bornstein, Peter E. H. Schwarz, Anke Tönjes, Bernhard R. Winkelmann, Bernhard O. Boehm, Winfried März, Andres Metspalu, Jackie F. Price, Panos Deloukas, Antje Körner, Timo A. Lakka, Sirkka M. Keinanen-Kiukaanniemi, Timo E. Saaristo, Richard N. Bergman, Jaakko Tuomilehto, Nicholas J. Wareham, Claudia Langenberg, Satu Männistö, Paul W. Franks, Caroline Hayward, Veronique Vitart, Jaakko Kaprio, Sophie Visvikis-Siest, Beverley Balkau, David Altshuler, Igor Rudan, Michael Stumvoll, Harry Campbell, Cornelia M. van Duijn, Christian Gieger, Thomas Illig, Luigi Ferrucci, Nancy L. Pedersen, Peter P. Pramstaller, Michael Boehnke, Timothy M. Frayling, Alan R. Shuldiner, Patricia A. Peyser, Sharon L. R. Kardia, Lyle J. Palmer, Brenda W. Penninx, Pierre Meneton, Tamara B. Harris, Gerjan Navis, Pim van der Harst, George Davey Smith, Nita G. Forouhi, Ruth J. F. Loos, Veikko Salomaa, Nicole Soranzo, Dorret I. Boomsma, Leif Groop, Tiinamaija Tuomi, Albert Hofman, Patricia B. Munroe, Vilmundur Gudnason, David S. Siscovick, Hugh Watkins, Cecile Lecoeur, Peter Vollenweider, Anders Franco-Cereceda, Per Eriksson, Marjo-Riitta Jarvelin, Kari Stefansson, Anders Hamsten, George Nicholson, Fredrik Karpe, Emmanouil T. Dermitzakis, Cecilia M. Lindgren, Mark I. McCarthy, Philippe Froguel, Marika A. Kaakinen, Valeriya Lyssenko, Richard M. Watanabe, Erik Ingelsson, Jose C. Florez, Josée Dupuis, Inês Barroso, Andrew P. Morris, Inga Prokopenko, and Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC)
Subjects: Science
Abstract: Sex differences in fasting glucose and insulin have been identified, but the genetic loci underlying these differences have not. Here, the authors perform a meta-analysis of genome-wide association studies to detect sex-specific and sex-dimorphic loci associated with fasting glucose and insulin.
Published: 2021
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29. Genetic architecture of host proteins involved in SARS-CoV-2 infection

Author: Maik Pietzner, Eleanor Wheeler, Julia Carrasco-Zanini, Johannes Raffler, Nicola D. Kerrison, Erin Oerton, Victoria P. W. Auyeung, Jian’an Luan, Chris Finan, Juan P. Casas, Rachel Ostroff, Steve A. Williams, Gabi Kastenmüller, Markus Ralser, Eric R. Gamazon, Nicholas J. Wareham, Aroon D. Hingorani, and Claudia Langenberg
Subjects: Science
Abstract: Finding effective treatments for COVID-19 depends upon understanding genetic regulation of proteins involved in SARS-CoV-2 infection and host response. Here, the authors identify genetic variants linked to expression of such proteins, data which could lead to the discovery of therapeutic targets.
Published: 2020
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30. Genome-wide association study of adipocyte lipolysis in the GENetics of adipocyte lipolysis (GENiAL) cohort

Author: Agné Kulyté, Veroniqa Lundbäck, Cecilia M. Lindgren, Jian'an Luan, Luca A. Lotta, Claudia Langenberg, Peter Arner, Rona J. Strawbridge, and Ingrid Dahlman
Subjects: Internal medicine, RC31-1245
Abstract: Objectives: Lipolysis, hydrolysis of triglycerides to fatty acids in adipocytes, is tightly regulated, poorly understood, and, if perturbed, can lead to metabolic diseases including obesity and type 2 diabetes. The goal of this study was to identify the genetic regulators of lipolysis and elucidate their molecular mechanisms. Methods: Adipocytes from abdominal subcutaneous adipose tissue biopsies were isolated and were incubated without (spontaneous lipolysis) or with a catecholamine (stimulated lipolysis) to analyze lipolysis. DNA was extracted and genome-wide genotyping and imputation conducted. After quality control, 939 samples with genetic and lipolysis data were available. Genome-wide association studies of spontaneous and stimulated lipolysis were conducted. Subsequent in vitro gene expression analyses were used to identify candidate genes and explore their regulation of adipose tissue biology. Results: One locus on chromosome 19 demonstrated genome-wide significance with spontaneous lipolysis. 60 loci showed suggestive associations with spontaneous or stimulated lipolysis, of which many influenced both traits. In the chromosome 19 locus, only HIF3A was expressed in the adipocytes and displayed genotype-dependent gene expression. HIF3A knockdown in vitro increased lipolysis and the expression of key lipolysis-regulating genes. Conclusions: In conclusion, we identified a genetic regulator of spontaneous lipolysis and provided evidence of HIF3A as a novel key regulator of lipolysis in subcutaneous adipocytes as the mechanism through which the locus influences adipose tissue biology. Keywords: Genetic variants, Lipolysis, Subcutaneous, Adipocytes, Gene expression
Published: 2020
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31. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure

Author: Sonia Shah, Albert Henry, Carolina Roselli, Honghuang Lin, Garðar Sveinbjörnsson, Ghazaleh Fatemifar, Åsa K. Hedman, Jemma B. Wilk, Michael P. Morley, Mark D. Chaffin, Anna Helgadottir, Niek Verweij, Abbas Dehghan, Peter Almgren, Charlotte Andersson, Krishna G. Aragam, Johan Ärnlöv, Joshua D. Backman, Mary L. Biggs, Heather L. Bloom, Jeffrey Brandimarto, Michael R. Brown, Leonard Buckbinder, David J. Carey, Daniel I. Chasman, Xing Chen, Xu Chen, Jonathan Chung, William Chutkow, James P. Cook, Graciela E. Delgado, Spiros Denaxas, Alexander S. Doney, Marcus Dörr, Samuel C. Dudley, Michael E. Dunn, Gunnar Engström, Tõnu Esko, Stephan B. Felix, Chris Finan, Ian Ford, Mohsen Ghanbari, Sahar Ghasemi, Vilmantas Giedraitis, Franco Giulianini, John S. Gottdiener, Stefan Gross, Daníel F. Guðbjartsson, Rebecca Gutmann, Christopher M. Haggerty, Pim van der Harst, Craig L. Hyde, Erik Ingelsson, J. Wouter Jukema, Maryam Kavousi, Kay-Tee Khaw, Marcus E. Kleber, Lars Køber, Andrea Koekemoer, Claudia Langenberg, Lars Lind, Cecilia M. Lindgren, Barry London, Luca A. Lotta, Ruth C. Lovering, Jian’an Luan, Patrik Magnusson, Anubha Mahajan, Kenneth B. Margulies, Winfried März, Olle Melander, Ify R. Mordi, Thomas Morgan, Andrew D. Morris, Andrew P. Morris, Alanna C. Morrison, Michael W. Nagle, Christopher P. Nelson, Alexander Niessner, Teemu Niiranen, Michelle L. O’Donoghue, Anjali T. Owens, Colin N. A. Palmer, Helen M. Parry, Markus Perola, Eliana Portilla-Fernandez, Bruce M. Psaty, Regeneron Genetics Center, Kenneth M. Rice, Paul M. Ridker, Simon P. R. Romaine, Jerome I. Rotter, Perttu Salo, Veikko Salomaa, Jessica van Setten, Alaa A. Shalaby, Diane T. Smelser, Nicholas L. Smith, Steen Stender, David J. Stott, Per Svensson, Mari-Liis Tammesoo, Kent D. Taylor, Maris Teder-Laving, Alexander Teumer, Guðmundur Thorgeirsson, Unnur Thorsteinsdottir, Christian Torp-Pedersen, Stella Trompet, Benoit Tyl, Andre G. Uitterlinden, Abirami Veluchamy, Uwe Völker, Adriaan A. Voors, Xiaosong Wang, Nicholas J. Wareham, Dawn Waterworth, Peter E. Weeke, Raul Weiss, Kerri L. Wiggins, Heming Xing, Laura M. Yerges-Armstrong, Bing Yu, Faiez Zannad, Jing Hua Zhao, Harry Hemingway, Nilesh J. Samani, John J. V. McMurray, Jian Yang, Peter M. Visscher, Christopher Newton-Cheh, Anders Malarstig, Hilma Holm, Steven A. Lubitz, Naveed Sattar, Michael V. Holmes, Thomas P. Cappola, Folkert W. Asselbergs, Aroon D. Hingorani, Karoline Kuchenbaecker, Patrick T. Ellinor, Chim C. Lang, Kari Stefansson, J. Gustav Smith, Ramachandran S. Vasan, Daniel I. Swerdlow, and R. Thomas Lumbers
Subjects: Science
Abstract: Heart failure is a complex syndrome that is associated with many different underlying risk factors. Here, to increase power, the authors jointly analyse cases of heart failure of different aetiologies in a genome-wide association study and identify 11 loci of which ten had not been previously reported.
Published: 2020
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32. Associations of autozygosity with a broad range of human phenotypes

Author: David W Clark, Yukinori Okada, Kristjan H S Moore, Dan Mason, Nicola Pirastu, Ilaria Gandin, Hannele Mattsson, Catriona L K Barnes, Kuang Lin, Jing Hua Zhao, Patrick Deelen, Rebecca Rohde, Claudia Schurmann, Xiuqing Guo, Franco Giulianini, Weihua Zhang, Carolina Medina-Gomez, Robert Karlsson, Yanchun Bao, Traci M Bartz, Clemens Baumbach, Ginevra Biino, Matthew J Bixley, Marco Brumat, Jin-Fang Chai, Tanguy Corre, Diana L Cousminer, Annelot M Dekker, David A Eccles, Kristel R van Eijk, Christian Fuchsberger, He Gao, Marine Germain, Scott D Gordon, Hugoline G de Haan, Sarah E Harris, Edith Hofer, Alicia Huerta-Chagoya, Catherine Igartua, Iris E Jansen, Yucheng Jia, Tim Kacprowski, Torgny Karlsson, Marcus E Kleber, Shengchao Alfred Li, Ruifang Li-Gao, Anubha Mahajan, Koichi Matsuda, Karina Meidtner, Weihua Meng, May E Montasser, Peter J van der Most, Matthias Munz, Teresa Nutile, Teemu Palviainen, Gauri Prasad, Rashmi B Prasad, Tallapragada Divya Sri Priyanka, Federica Rizzi, Erika Salvi, Bishwa R Sapkota, Daniel Shriner, Line Skotte, Melissa C Smart, Albert Vernon Smith, Ashley van der Spek, Cassandra N Spracklen, Rona J Strawbridge, Salman M Tajuddin, Stella Trompet, Constance Turman, Niek Verweij, Clara Viberti, Lihua Wang, Helen R Warren, Robyn E Wootton, Lisa R Yanek, Jie Yao, Noha A Yousri, Wei Zhao, Adebowale A Adeyemo, Saima Afaq, Carlos Alberto Aguilar-Salinas, Masato Akiyama, Matthew L Albert, Matthew A Allison, Maris Alver, Tin Aung, Fereidoun Azizi, Amy R Bentley, Heiner Boeing, Eric Boerwinkle, Judith B Borja, Gert J de Borst, Erwin P Bottinger, Linda Broer, Harry Campbell, Stephen Chanock, Miao-Li Chee, Guanjie Chen, Yii-Der I Chen, Zhengming Chen, Yen-Feng Chiu, Massimiliano Cocca, Francis S Collins, Maria Pina Concas, Janie Corley, Giovanni Cugliari, Rob M van Dam, Anna Damulina, Maryam S Daneshpour, Felix R Day, Graciela E Delgado, Klodian Dhana, Alexander S F Doney, Marcus Dörr, Ayo P Doumatey, Nduna Dzimiri, S Sunna Ebenesersdóttir, Joshua Elliott, Paul Elliott, Ralf Ewert, Janine F Felix, Krista Fischer, Barry I Freedman, Giorgia Girotto, Anuj Goel, Martin Gögele, Mark O Goodarzi, Mariaelisa Graff, Einat Granot-Hershkovitz, Francine Grodstein, Simonetta Guarrera, Daniel F Gudbjartsson, Kamran Guity, Bjarni Gunnarsson, Yu Guo, Saskia P Hagenaars, Christopher A Haiman, Avner Halevy, Tamara B Harris, Mehdi Hedayati, David A van Heel, Makoto Hirata, Imo Höfer, Chao Agnes Hsiung, Jinyan Huang, Yi-Jen Hung, M Arfan Ikram, Anuradha Jagadeesan, Pekka Jousilahti, Yoichiro Kamatani, Masahiro Kanai, Nicola D Kerrison, Thorsten Kessler, Kay-Tee Khaw, Chiea Chuen Khor, Dominique P V de Kleijn, Woon-Puay Koh, Ivana Kolcic, Peter Kraft, Bernhard K Krämer, Zoltán Kutalik, Johanna Kuusisto, Claudia Langenberg, Lenore J Launer, Deborah A Lawlor, I-Te Lee, Wen-Jane Lee, Markus M Lerch, Liming Li, Jianjun Liu, Marie Loh, Stephanie J London, Stephanie Loomis, Yingchang Lu, Jian’an Luan, Reedik Mägi, Ani W Manichaikul, Paolo Manunta, Gísli Másson, Nana Matoba, Xue W Mei, Christa Meisinger, Thomas Meitinger, Massimo Mezzavilla, Lili Milani, Iona Y Millwood, Yukihide Momozawa, Amy Moore, Pierre-Emmanuel Morange, Hortensia Moreno-Macías, Trevor A Mori, Alanna C Morrison, Taulant Muka, Yoshinori Murakami, Alison D Murray, Renée de Mutsert, Josyf C Mychaleckyj, Mike A Nalls, Matthias Nauck, Matt J Neville, Ilja M Nolte, Ken K Ong, Lorena Orozco, Sandosh Padmanabhan, Gunnar Pálsson, James S Pankow, Cristian Pattaro, Alison Pattie, Ozren Polasek, Neil Poulter, Peter P Pramstaller, Lluis Quintana-Murci, Katri Räikkönen, Sarju Ralhan, Dabeeru C Rao, Wouter van Rheenen, Stephen S Rich, Paul M Ridker, Cornelius A Rietveld, Antonietta Robino, Frank J A van Rooij, Daniela Ruggiero, Yasaman Saba, Charumathi Sabanayagam, Maria Sabater-Lleal, Cinzia Felicita Sala, Veikko Salomaa, Kevin Sandow, Helena Schmidt, Laura J Scott, William R Scott, Bahareh Sedaghati-Khayat, Bengt Sennblad, Jessica van Setten, Peter J Sever, Wayne H-H Sheu, Yuan Shi, Smeeta Shrestha, Sharvari Rahul Shukla, Jon K Sigurdsson, Timo Tonis Sikka, Jai Rup Singh, Blair H Smith, Alena Stančáková, Alice Stanton, John M Starr, Lilja Stefansdottir, Leon Straker, Patrick Sulem, Gardar Sveinbjornsson, Morris A Swertz, Adele M Taylor, Kent D Taylor, Natalie Terzikhan, Yih-Chung Tham, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Annika Tillander, Russell P Tracy, Teresa Tusié-Luna, Ioanna Tzoulaki, Simona Vaccargiu, Jagadish Vangipurapu, Jan H Veldink, Veronique Vitart, Uwe Völker, Eero Vuoksimaa, Salma M Wakil, Melanie Waldenberger, Gurpreet S Wander, Ya Xing Wang, Nicholas J Wareham, Sarah Wild, Chittaranjan S Yajnik, Jian-Min Yuan, Lingyao Zeng, Liang Zhang, Jie Zhou, Najaf Amin, Folkert W Asselbergs, Stephan J L Bakker, Diane M Becker, Benjamin Lehne, David A Bennett, Leonard H van den Berg, Sonja I Berndt, Dwaipayan Bharadwaj, Lawrence F Bielak, Murielle Bochud, Mike Boehnke, Claude Bouchard, Jonathan P Bradfield, Jennifer A Brody, Archie Campbell, Shai Carmi, Mark J Caulfield, David Cesarini, John C Chambers, Giriraj Ratan Chandak, Ching-Yu Cheng, Marina Ciullo, Marilyn Cornelis, Daniele Cusi, George Davey Smith, Ian J Deary, Rajkumar Dorajoo, Cornelia M van Duijn, David Ellinghaus, Jeanette Erdmann, Johan G Eriksson, Evangelos Evangelou, Michele K Evans, Jessica D Faul, Bjarke Feenstra, Mary Feitosa, Sylvain Foisy, Andre Franke, Yechiel Friedlander, Paolo Gasparini, Christian Gieger, Clicerio Gonzalez, Philippe Goyette, Struan F A Grant, Lyn R Griffiths, Leif Groop, Vilmundur Gudnason, Ulf Gyllensten, Hakon Hakonarson, Anders Hamsten, Pim van der Harst, Chew-Kiat Heng, Andrew A Hicks, Hagit Hochner, Heikki Huikuri, Steven C Hunt, Vincent W V Jaddoe, Philip L De Jager, Magnus Johannesson, Åsa Johansson, Jost B Jonas, J Wouter Jukema, Juhani Junttila, Jaakko Kaprio, Sharon L. R. Kardia, Fredrik Karpe, Meena Kumari, Markku Laakso, Sander W van der Laan, Jari Lahti, Matthias Laudes, Rodney A Lea, Wolfgang Lieb, Thomas Lumley, Nicholas G Martin, Winfried März, Giuseppe Matullo, Mark I McCarthy, Sarah E Medland, Tony R Merriman, Andres Metspalu, Brian F Meyer, Karen L Mohlke, Grant W Montgomery, Dennis Mook-Kanamori, Patricia B Munroe, Kari E North, Dale R Nyholt, Jeffery R O’connell, Carole Ober, Albertine J Oldehinkel, Walter Palmas, Colin Palmer, Gerard G Pasterkamp, Etienne Patin, Craig E Pennell, Louis Perusse, Patricia A Peyser, Mario Pirastu, Tinca J. C. Polderman, David J Porteous, Danielle Posthuma, Bruce M Psaty, John D Rioux, Fernando Rivadeneira, Charles Rotimi, Jerome I Rotter, Igor Rudan, Hester M Den Ruijter, Dharambir K Sanghera, Naveed Sattar, Reinhold Schmidt, Matthias B Schulze, Heribert Schunkert, Robert A Scott, Alan R Shuldiner, Xueling Sim, Neil Small, Jennifer A Smith, Nona Sotoodehnia, E-Shyong Tai, Alexander Teumer, Nicholas J Timpson, Daniela Toniolo, David-Alexandre Tregouet, Tiinamaija Tuomi, Peter Vollenweider, Carol A Wang, David R Weir, John B Whitfield, Cisca Wijmenga, Tien-Yin Wong, John Wright, Jingyun Yang, Lei Yu, Babette S Zemel, Alan B Zonderman, Markus Perola, Patrik K. E. Magnusson, André G Uitterlinden, Jaspal S Kooner, Daniel I Chasman, Ruth J. F. Loos, Nora Franceschini, Lude Franke, Chris S Haley, Caroline Hayward, Robin G Walters, John R. B. Perry, Tōnu Esko, Agnar Helgason, Kari Stefansson, Peter K Joshi, Michiaki Kubo, and James F Wilson
Subjects: Science
Abstract: Inbreeding depression has been observed in many different species, but in humans a systematic analysis has been difficult so far. Here, analysing more than 1.3 million individuals, the authors show that a genomic inbreeding coefficient (FROH) is associated with disadvantageous outcomes in 32 out of 100 traits tested.
Published: 2019
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33. Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9

Author: Amand F. Schmidt, Michael V. Holmes, David Preiss, Daniel I. Swerdlow, Spiros Denaxas, Ghazaleh Fatemifar, Rupert Faraway, Chris Finan, Dennis Valentine, Zammy Fairhurst-Hunter, Fernando Pires Hartwig, Bernardo Lessa Horta, Elina Hypponen, Christine Power, Max Moldovan, Erik van Iperen, Kees Hovingh, Ilja Demuth, Kristina Norman, Elisabeth Steinhagen-Thiessen, Juri Demuth, Lars Bertram, Christina M. Lill, Stefan Coassin, Johann Willeit, Stefan Kiechl, Karin Willeit, Dan Mason, John Wright, Richard Morris, Goya Wanamethee, Peter Whincup, Yoav Ben-Shlomo, Stela McLachlan, Jackie F. Price, Mika Kivimaki, Catherine Welch, Adelaida Sanchez-Galvez, Pedro Marques-Vidal, Andrew Nicolaides, Andrie G. Panayiotou, N. Charlotte Onland-Moret, Yvonne T. van der Schouw, Giuseppe Matullo, Giovanni Fiorito, Simonetta Guarrera, Carlotta Sacerdote, Nicholas J. Wareham, Claudia Langenberg, Robert A. Scott, Jian’an Luan, Martin Bobak, Sofia Malyutina, Andrzej Pająk, Ruzena Kubinova, Abdonas Tamosiunas, Hynek Pikhart, Niels Grarup, Oluf Pedersen, Torben Hansen, Allan Linneberg, Tine Jess, Jackie Cooper, Steve E. Humphries, Murray Brilliant, Terrie Kitchner, Hakon Hakonarson, David S. Carrell, Catherine A. McCarty, Kirchner H. Lester, Eric B. Larson, David R. Crosslin, Mariza de Andrade, Dan M. Roden, Joshua C. Denny, Cara Carty, Stephen Hancock, John Attia, Elizabeth Holliday, Rodney Scott, Peter Schofield, Martin O’Donnell, Salim Yusuf, Michael Chong, Guillaume Pare, Pim van der Harst, M. Abdullah Said, Ruben N. Eppinga, Niek Verweij, Harold Snieder, Lifelines Cohort authors, Tim Christen, D. O. Mook-Kanamori, the ICBP Consortium, Stefan Gustafsson, Lars Lind, Erik Ingelsson, Raha Pazoki, Oscar Franco, Albert Hofman, Andre Uitterlinden, Abbas Dehghan, Alexander Teumer, Sebastian Baumeister, Marcus Dörr, Markus M. Lerch, Uwe Völker, Henry Völzke, Joey Ward, Jill P. Pell, Tom Meade, Ingrid E. Christophersen, Anke H. Maitland-van der Zee, Ekaterina V. Baranova, Robin Young, Ian Ford, Archie Campbell, Sandosh Padmanabhan, Michiel L. Bots, Diederick E. Grobbee, Philippe Froguel, Dorothée Thuillier, Ronan Roussel, Amélie Bonnefond, Bertrand Cariou, Melissa Smart, Yanchun Bao, Meena Kumari, Anubha Mahajan, Jemma C. Hopewell, Sudha Seshadri, the METASTROKE Consortium of the ISGC, Caroline Dale, Rui Providencia E. Costa, Paul M. Ridker, Daniel I. Chasman, Alex P. Reiner, Marylyn D. Ritchie, Leslie A. Lange, Alex J. Cornish, Sara E. Dobbins, Kari Hemminki, Ben Kinnersley, Marc Sanson, Karim Labreche, Matthias Simon, Melissa Bondy, Philip Law, Helen Speedy, James Allan, Ni Li, Molly Went, Niels Weinhold, Gareth Morgan, Pieter Sonneveld, Björn Nilsson, Hartmut Goldschmidt, Amit Sud, Andreas Engert, Markus Hansson, Harry Hemingway, Folkert W. Asselbergs, Riyaz S. Patel, Brendan J. Keating, Naveed Sattar, Richard Houlston, Juan P. Casas, and Aroon D. Hingorani
Subjects: Genetic association studies, Mendelian randomisation, LDL-cholesterol, Phenome-wide association scan, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Abstract Background We characterised the phenotypic consequence of genetic variation at the PCSK9 locus and compared findings with recent trials of pharmacological inhibitors of PCSK9. Methods Published and individual participant level data (300,000+ participants) were combined to construct a weighted PCSK9 gene-centric score (GS). Seventeen randomized placebo controlled PCSK9 inhibitor trials were included, providing data on 79,578 participants. Results were scaled to a one mmol/L lower LDL-C concentration. Results The PCSK9 GS (comprising 4 SNPs) associations with plasma lipid and apolipoprotein levels were consistent in direction with treatment effects. The GS odds ratio (OR) for myocardial infarction (MI) was 0.53 (95% CI 0.42; 0.68), compared to a PCSK9 inhibitor effect of 0.90 (95% CI 0.86; 0.93). For ischemic stroke ORs were 0.84 (95% CI 0.57; 1.22) for the GS, compared to 0.85 (95% CI 0.78; 0.93) in the drug trials. ORs with type 2 diabetes mellitus (T2DM) were 1.29 (95% CI 1.11; 1.50) for the GS, as compared to 1.00 (95% CI 0.96; 1.04) for incident T2DM in PCSK9 inhibitor trials. No genetic associations were observed for cancer, heart failure, atrial fibrillation, chronic obstructive pulmonary disease, or Alzheimer’s disease – outcomes for which large-scale trial data were unavailable. Conclusions Genetic variation at the PCSK9 locus recapitulates the effects of therapeutic inhibition of PCSK9 on major blood lipid fractions and MI. While indicating an increased risk of T2DM, no other possible safety concerns were shown; although precision was moderate.
Published: 2019
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34. Estimating the Population Benefits of Blood Pressure Lowering: A Wide‐Angled Mendelian Randomization Study in UK Biobank

Author: Hannah Higgins, Amy M. Mason, Susanna C. Larsson, Dipender Gill, Claudia Langenberg, and Stephen Burgess
Subjects: cardiovascular disease, genetic epidemiology, high blood pressure, hypertension, Mendelian randomization, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Background The causal relevance of elevated blood pressure for several cardiovascular diseases (CVDs) is uncertain, as is the population impact of blood pressure lowering. This study systematically assesses evidence of causality for various CVDs in a 2‐sample Mendelian randomization framework, and estimates the potential reduction in the prevalence of these diseases attributable to long‐term population shifts in the distribution of systolic blood pressure (SBP). Methods and Results We investigated associations of genetically predicted SBP as predicted by 256 genetic variants with 21 CVDs in UK Biobank, a population‐based cohort of UK residents. The sample consisted of 376 703 participants of European ancestry, aged 40 to 69 years at recruitment. Genetically predicted SBP was positively associated with 14 of the outcomes (P
Published: 2021
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35. The blood metabolome of incident kidney cancer: A case-control study nested within the MetKid consortium.

Author: Florence Guida, Vanessa Y Tan, Laura J Corbin, Karl Smith-Byrne, Karine Alcala, Claudia Langenberg, Isobel D Stewart, Adam S Butterworth, Praveen Surendran, David Achaintre, Jerzy Adamski, Pilar Amiano, Manuela M Bergmann, Caroline J Bull, Christina C Dahm, Audrey Gicquiau, Graham G Giles, Marc J Gunter, Toomas Haller, Arnulf Langhammer, Tricia L Larose, Börje Ljungberg, Andres Metspalu, Roger L Milne, David C Muller, Therese H Nøst, Elin Pettersen Sørgjerd, Cornelia Prehn, Elio Riboli, Sabina Rinaldi, Joseph A Rothwell, Augustin Scalbert, Julie A Schmidt, Gianluca Severi, Sabina Sieri, Roel Vermeulen, Emma E Vincent, Melanie Waldenberger, Nicholas J Timpson, and Mattias Johansson
Subjects: Medicine
Abstract: BackgroundExcess bodyweight and related metabolic perturbations have been implicated in kidney cancer aetiology, but the specific molecular mechanisms underlying these relationships are poorly understood. In this study, we sought to identify circulating metabolites that predispose kidney cancer and to evaluate the extent to which they are influenced by body mass index (BMI).Methods and findingsWe assessed the association between circulating levels of 1,416 metabolites and incident kidney cancer using pre-diagnostic blood samples from up to 1,305 kidney cancer case-control pairs from 5 prospective cohort studies. Cases were diagnosed on average 8 years after blood collection. We found 25 metabolites robustly associated with kidney cancer risk. In particular, 14 glycerophospholipids (GPLs) were inversely associated with risk, including 8 phosphatidylcholines (PCs) and 2 plasmalogens. The PC with the strongest association was PC ae C34:3 with an odds ratio (OR) for 1 standard deviation (SD) increment of 0.75 (95% confidence interval [CI]: 0.68 to 0.83, p = 2.6 × 10-8). In contrast, 4 amino acids, including glutamate (OR for 1 SD = 1.39, 95% CI: 1.20 to 1.60, p = 1.6 × 10-5), were positively associated with risk. Adjusting for BMI partly attenuated the risk association for some-but not all-metabolites, whereas other known risk factors of kidney cancer, such as smoking and alcohol consumption, had minimal impact on the observed associations. A mendelian randomisation (MR) analysis of the influence of BMI on the blood metabolome highlighted that some metabolites associated with kidney cancer risk are influenced by BMI. Specifically, elevated BMI appeared to decrease levels of several GPLs that were also found inversely associated with kidney cancer risk (e.g., -0.17 SD change [ßBMI] in 1-(1-enyl-palmitoyl)-2-linoleoyl-GPC (P-16:0/18:2) levels per SD change in BMI, p = 3.4 × 10-5). BMI was also associated with increased levels of glutamate (ßBMI: 0.12, p = 1.5 × 10-3). While our results were robust across the participating studies, they were limited to study participants of European descent, and it will, therefore, be important to evaluate if our findings can be generalised to populations with different genetic backgrounds.ConclusionsThis study suggests a potentially important role of the blood metabolome in kidney cancer aetiology by highlighting a wide range of metabolites associated with the risk of developing kidney cancer and the extent to which changes in levels of these metabolites are driven by BMI-the principal modifiable risk factor of kidney cancer.
Published: 2021
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36. The Relationship of Maternal Gestational Mass Spectrometry-Derived Metabolites with Offspring Congenital Heart Disease: Results from Multivariable and Mendelian Randomization Analyses

Author: Kurt Taylor, Nancy McBride, Jian Zhao, Sam Oddie, Rafaq Azad, John Wright, Ole A. Andreassen, Isobel D. Stewart, Claudia Langenberg, Maria Christine Magnus, Maria Carolina Borges, Massimo Caputo, and Deborah A. Lawlor
Subjects: metabolites, congenital heart disease, Born in Bradford, ALSPAC, MoBa, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Background: It is plausible that maternal pregnancy metabolism influences the risk of offspring congenital heart disease (CHD). We sought to explore this through a systematic approach using different methods and data. Methods: We undertook multivariable logistic regression of the odds of CHD for 923 mass spectrometry (MS)-derived metabolites in a sub-sample of a UK birth cohort (Born in Bradford (BiB); N = 2605, 46 CHD cases). We considered metabolites reaching a p-value threshold Results: In the main multivariable analyses, we identified 44 metabolites suggestively associated with CHD, including those from the following super pathways: amino acids, lipids, co-factors and vitamins, xenobiotics, nucleotides, energy, and several unknown molecules. Of these 44, isoleucine and leucine were available in the larger BiB cohort (NMR), and for these the results were validated. The MR analyses were possible for 27/44 metabolites and for 11 there was consistency with the multivariable regression results. Conclusions: In summary, we have used complimentary data sources and statistical techniques to construct layers of evidence. We found that pregnancy amino acid metabolism, androgenic steroid lipids, and levels of succinylcarnitine could be important contributing factors for CHD.
Published: 2022
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37. Variants associated with HHIP expression have sex-differential effects on lung function [version 2; peer review: 2 approved]

Author: Katherine A. Fawcett, Ma'en Obeidat, Carl Melbourne, Nick Shrine, Anna L. Guyatt, Catherine John, Jian'an Luan, Anne Richmond, Marta R. Moksnes, Raquel Granell, Stefan Weiss, Medea Imboden, Sebastian May-Wilson, Pirro Hysi, Thibaud S. Boutin, Laura Portas, Claudia Flexeder, Sarah E. Harris, Carol A. Wang, Leo-Pekka Lyytikäinen, Teemu Palviainen, Rachel E. Foong, Dirk Keidel, Cosetta Minelli, Claudia Langenberg, Yohan Bossé, Maarten Van den Berge, Don D. Sin, Ke Hao, Archie Campbell, David Porteous, Sandosh Padmanabhan, Blair H. Smith, David M. Evans, Sue Ring, Arnulf Langhammer, Kristian Hveem, Cristen Willer, Ralf Ewert, Beate Stubbe, Nicola Pirastu, Lucija Klaric, Peter K. Joshi, Karina Patasova, Mangino Massimo, Ozren Polasek, John M. Starr, Stefan Karrasch, Konstantin Strauch, Thomas Meitinger, Igor Rudan, Taina Rantanen, Kirsi Pietiläinen, Mika Kähönen, Olli T. Raitakari, Graham L. Hall, Peter D. Sly, Craig E. Pennell, Jaakko Kaprio, Terho Lehtimäki, Veronique Vitart, Ian J. Deary, Debbie Jarvis, James F. Wilson, Tim Spector, Nicole Probst-Hensch, Nicholas J. Wareham, Henry Völzke, John Henderson, David P. Strachan, Ben M. Brumpton, Caroline Hayward, Ian P. Hall, Martin D. Tobin, and Louise V. Wain
Subjects: Medicine, Science
Abstract: Background: Lung function is highly heritable and differs between the sexes throughout life. However, little is known about sex-differential genetic effects on lung function. We aimed to conduct the first genome-wide genotype-by-sex interaction study on lung function to identify genetic effects that differ between males and females. Methods: We tested for interactions between 7,745,864 variants and sex on spirometry-based measures of lung function in UK Biobank (N=303,612), and sought replication in 75,696 independent individuals from the SpiroMeta consortium. Results: Five independent single-nucleotide polymorphisms (SNPs) showed genome-wide significant (P
Published: 2021
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38. The potential shared role of inflammation in insulin resistance and schizophrenia: A bidirectional two-sample mendelian randomization study.

Author: Benjamin I Perry, Stephen Burgess, Hannah J Jones, Stan Zammit, Rachel Upthegrove, Amy M Mason, Felix R Day, Claudia Langenberg, Nicholas J Wareham, Peter B Jones, and Golam M Khandaker
Subjects: Medicine
Abstract: BackgroundInsulin resistance predisposes to cardiometabolic disorders, which are commonly comorbid with schizophrenia and are key contributors to the significant excess mortality in schizophrenia. Mechanisms for the comorbidity remain unclear, but observational studies have implicated inflammation in both schizophrenia and cardiometabolic disorders separately. We aimed to examine whether there is genetic evidence that insulin resistance and 7 related cardiometabolic traits may be causally associated with schizophrenia, and whether evidence supports inflammation as a common mechanism for cardiometabolic disorders and schizophrenia.Methods and findingsWe used summary data from genome-wide association studies of mostly European adults from large consortia (Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) featuring up to 108,557 participants; Diabetes Genetics Replication And Meta-analysis (DIAGRAM) featuring up to 435,387 participants; Global Lipids Genetics Consortium (GLGC) featuring up to 173,082 participants; Genetic Investigation of Anthropometric Traits (GIANT) featuring up to 339,224 participants; Psychiatric Genomics Consortium (PGC) featuring up to 105,318 participants; and Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium featuring up to 204,402 participants). We conducted two-sample uni- and multivariable mendelian randomization (MR) analysis to test whether (i) 10 cardiometabolic traits (fasting insulin, high-density lipoprotein and triglycerides representing an insulin resistance phenotype, and 7 related cardiometabolic traits: low-density lipoprotein, fasting plasma glucose, glycated haemoglobin, leptin, body mass index, glucose tolerance, and type 2 diabetes) could be causally associated with schizophrenia; and (ii) inflammation could be a shared mechanism for these phenotypes. We conducted a detailed set of sensitivity analyses to test the assumptions for a valid MR analysis. We did not find statistically significant evidence in support of a causal relationship between cardiometabolic traits and schizophrenia, or vice versa. However, we report that a genetically predicted inflammation-related insulin resistance phenotype (raised fasting insulin (raised fasting insulin (Wald ratio OR = 2.95, 95% C.I, 1.38-6.34, Holm-Bonferroni corrected p-value (p) = 0.035) and lower high-density lipoprotein (Wald ratio OR = 0.55, 95% C.I., 0.36-0.84; p = 0.035)) was associated with schizophrenia. Evidence for these associations attenuated to the null in multivariable MR analyses after adjusting for C-reactive protein, an archetypal inflammatory marker: (fasting insulin Wald ratio OR = 1.02, 95% C.I, 0.37-2.78, p = 0.975), high-density lipoprotein (Wald ratio OR = 1.00, 95% C.I., 0.85-1.16; p = 0.849), suggesting that the associations could be fully explained by inflammation. One potential limitation of the study is that the full range of gene products from the genetic variants we used as proxies for the exposures is unknown, and so we are unable to comment on potential biological mechanisms of association other than inflammation, which may also be relevant.ConclusionsOur findings support a role for inflammation as a common cause for insulin resistance and schizophrenia, which may at least partly explain why the traits commonly co-occur in clinical practice. Inflammation and immune pathways may represent novel therapeutic targets for the prevention or treatment of schizophrenia and comorbid insulin resistance. Future work is needed to understand how inflammation may contribute to the risk of schizophrenia and insulin resistance.
Published: 2021
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39. MicroRNA-196a links human body fat distribution to adipose tissue extracellular matrix compositionResearch in context

Author: Catriona Hilton, Matt J. Neville, Laura B.L. Wittemans, Marijana Todorcevic, Katherine E. Pinnick, Sara L. Pulit, Jian'an Luan, Agné Kulyté, Ingrid Dahlman, Nicholas J. Wareham, Luca A. Lotta, Peter Arner, Cecilia M. Lindgren, Claudia Langenberg, and Fredrik Karpe
Subjects: Medicine, Medicine (General), R5-920
Abstract: Background: Abdominal fat mass is associated with metabolic risk whilst gluteal femoral fat is paradoxically protective. MicroRNAs are known to be necessary for adipose tissue formation and function but their role in regulating human fat distribution remains largely unexplored. Methods: An initial microarray screen of abdominal subcutaneous and gluteal adipose tissue, with validatory qPCR, identified microRNA-196a as being strongly differentially expressed between gluteal and abdominal subcutaneous adipose tissue. Findings: We found that rs11614913, a SNP within pre-miR-196a-2 at the HOXC locus, is an eQTL for miR-196a expression in abdominal subcutaneous adipose tissue (ASAT). Observations in large cohorts showed that rs11614913 increased waist-to-hip ratio, which was driven specifically by an expansion in ASAT. In further experiments, rs11614913 was associated with adipocyte size. Functional studies and transcriptomic profiling of miR-196a knock-down pre-adipocytes revealed a role for miR-196a in regulating pre-adipocyte proliferation and extracellular matrix pathways. Interpretation: These data identify a role for miR-196a in regulating human body fat distribution. Fund: This work was supported by the Medical Research Council and Novo Nordisk UK Research Foundation (G1001959) and Swedish Research Council. We acknowledge the OBB-NIHR Oxford Biomedical Research Centre and the British Heart Foundation (BHF) (RG/17/1/32663). Work performed at the MRC Epidemiology Unit was funded by the United Kingdom's Medical Research Council through grants MC_UU_12015/1, MC_PC_13046, MC_PC_13048 and MR/L00002/1. Keywords: Abdominal, Adipocyte, Body fat distribution, Gluteal, Human adipose tissue, MicroRNA
Published: 2019
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40. Assessing the causal association of glycine with risk of cardio-metabolic diseases

Author: Laura B. L. Wittemans, Luca A. Lotta, Clare Oliver-Williams, Isobel D. Stewart, Praveen Surendran, Savita Karthikeyan, Felix R. Day, Albert Koulman, Fumiaki Imamura, Lingyao Zeng, Jeanette Erdmann, Heribert Schunkert, Kay-Tee Khaw, Julian L. Griffin, Nita G. Forouhi, Robert A. Scott, Angela M. Wood, Stephen Burgess, Joanna M. M. Howson, John Danesh, Nicholas J. Wareham, Adam S. Butterworth, and Claudia Langenberg
Subjects: Science
Abstract: Epidemiological studies have associated circulating levels of the amino acid glycine with cardiometabolic outcomes. Here, in a genome-wide meta-analysis of 80,003 individuals, Wittemans et al. identify 22 novel genetic loci for glycine and find a causal relationship with coronary heart disease using MR.
Published: 2019
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41. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity

Author: Tuomas O. Kilpeläinen, Amy R. Bentley, Raymond Noordam, Yun Ju Sung, Karen Schwander, Thomas W. Winkler, Hermina Jakupović, Daniel I. Chasman, Alisa Manning, Ioanna Ntalla, Hugues Aschard, Michael R. Brown, Lisa de las Fuentes, Nora Franceschini, Xiuqing Guo, Dina Vojinovic, Stella Aslibekyan, Mary F. Feitosa, Minjung Kho, Solomon K. Musani, Melissa Richard, Heming Wang, Zhe Wang, Traci M. Bartz, Lawrence F. Bielak, Archie Campbell, Rajkumar Dorajoo, Virginia Fisher, Fernando P. Hartwig, Andrea R. V. R. Horimoto, Changwei Li, Kurt K. Lohman, Jonathan Marten, Xueling Sim, Albert V. Smith, Salman M. Tajuddin, Maris Alver, Marzyeh Amini, Mathilde Boissel, Jin Fang Chai, Xu Chen, Jasmin Divers, Evangelos Evangelou, Chuan Gao, Mariaelisa Graff, Sarah E. Harris, Meian He, Fang-Chi Hsu, Anne U. Jackson, Jing Hua Zhao, Aldi T. Kraja, Brigitte Kühnel, Federica Laguzzi, Leo-Pekka Lyytikäinen, Ilja M. Nolte, Rainer Rauramaa, Muhammad Riaz, Antonietta Robino, Rico Rueedi, Heather M. Stringham, Fumihiko Takeuchi, Peter J. van der Most, Tibor V. Varga, Niek Verweij, Erin B. Ware, Wanqing Wen, Xiaoyin Li, Lisa R. Yanek, Najaf Amin, Donna K. Arnett, Eric Boerwinkle, Marco Brumat, Brian Cade, Mickaël Canouil, Yii-Der Ida Chen, Maria Pina Concas, John Connell, Renée de Mutsert, H. Janaka de Silva, Paul S. de Vries, Ayşe Demirkan, Jingzhong Ding, Charles B. Eaton, Jessica D. Faul, Yechiel Friedlander, Kelley P. Gabriel, Mohsen Ghanbari, Franco Giulianini, Chi Charles Gu, Dongfeng Gu, Tamara B. Harris, Jiang He, Sami Heikkinen, Chew-Kiat Heng, Steven C. Hunt, M. Arfan Ikram, Jost B. Jonas, Woon-Puay Koh, Pirjo Komulainen, Jose E. Krieger, Stephen B. Kritchevsky, Zoltán Kutalik, Johanna Kuusisto, Carl D. Langefeld, Claudia Langenberg, Lenore J. Launer, Karin Leander, Rozenn N. Lemaitre, Cora E. Lewis, Jingjing Liang, Lifelines Cohort Study, Jianjun Liu, Reedik Mägi, Ani Manichaikul, Thomas Meitinger, Andres Metspalu, Yuri Milaneschi, Karen L. Mohlke, Thomas H. Mosley, Alison D. Murray, Mike A. Nalls, Ei-Ei Khaing Nang, Christopher P. Nelson, Sotoodehnia Nona, Jill M. Norris, Chiamaka Vivian Nwuba, Jeff O’Connell, Nicholette D. Palmer, George J. Papanicolau, Raha Pazoki, Nancy L. Pedersen, Annette Peters, Patricia A. Peyser, Ozren Polasek, David J. Porteous, Alaitz Poveda, Olli T. Raitakari, Stephen S. Rich, Neil Risch, Jennifer G. Robinson, Lynda M. Rose, Igor Rudan, Pamela J. Schreiner, Robert A. Scott, Stephen S. Sidney, Mario Sims, Jennifer A. Smith, Harold Snieder, Tamar Sofer, John M. Starr, Barbara Sternfeld, Konstantin Strauch, Hua Tang, Kent D. Taylor, Michael Y. Tsai, Jaakko Tuomilehto, André G. Uitterlinden, M. Yldau van der Ende, Diana van Heemst, Trudy Voortman, Melanie Waldenberger, Patrik Wennberg, Gregory Wilson, Yong-Bing Xiang, Jie Yao, Caizheng Yu, Jian-Min Yuan, Wei Zhao, Alan B. Zonderman, Diane M. Becker, Michael Boehnke, Donald W. Bowden, Ulf de Faire, Ian J. Deary, Paul Elliott, Tõnu Esko, Barry I. Freedman, Philippe Froguel, Paolo Gasparini, Christian Gieger, Norihiro Kato, Markku Laakso, Timo A. Lakka, Terho Lehtimäki, Patrik K. E. Magnusson, Albertine J. Oldehinkel, Brenda W. J. H. Penninx, Nilesh J. Samani, Xiao-Ou Shu, Pim van der Harst, Jana V. Van Vliet-Ostaptchouk, Peter Vollenweider, Lynne E. Wagenknecht, Ya X. Wang, Nicholas J. Wareham, David R. Weir, Tangchun Wu, Wei Zheng, Xiaofeng Zhu, Michele K. Evans, Paul W. Franks, Vilmundur Gudnason, Caroline Hayward, Bernardo L. Horta, Tanika N. Kelly, Yongmei Liu, Kari E. North, Alexandre C. Pereira, Paul M. Ridker, E. Shyong Tai, Rob M. van Dam, Ervin R. Fox, Sharon L. R. Kardia, Ching-Ti Liu, Dennis O. Mook-Kanamori, Michael A. Province, Susan Redline, Cornelia M. van Duijn, Jerome I. Rotter, Charles B. Kooperberg, W. James Gauderman, Bruce M. Psaty, Kenneth Rice, Patricia B. Munroe, Myriam Fornage, L. Adrienne Cupples, Charles N. Rotimi, Alanna C. Morrison, Dabeeru C. Rao, and Ruth J. F. Loos
Subjects: Science
Abstract: GWAS have identified more than 500 genetic loci associated with blood lipid levels. Here, the authors report a genome-wide analysis of interactions between genetic markers and physical activity, and find that physical activity modifies the effects of four genetic loci on HDL or LDL cholesterol.
Published: 2019
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42. Meta-analysis investigating the role of interleukin-6 mediated inflammation in type 2 diabetes

Author: Nicholas Bowker, Rupal L. Shah, Stephen J. Sharp, Jian'an Luan, Isobel D. Stewart, Eleanor Wheeler, Manuel A.R. Ferreira, Aris Baras, Nicholas J. Wareham, Claudia Langenberg, and Luca A. Lotta
Subjects: Interleukin-6, Type 2 diabetes, Genetic, Trans-ethnic, Medicine, Medicine (General), R5-920
Abstract: Background: Evidence from animal models and observational epidemiology points to a role for chronic inflammation, in which interleukin 6 (IL-6) is a key player, in the pathophysiology of type 2 diabetes (T2D). However, it is unknown whether IL-6 mediated inflammation is implicated in the pathophysiology of T2D. Methods: We performed a meta-analysis of 15 prospective studies to investigate associations between IL-6 levels and incident T2D including 5,421 cases and 31,562 non-cases. We also estimated the association of a loss-of-function missense variant (Asp358Ala) in the IL-6 receptor gene (IL6R), previously shown to mimic the effects of IL-6R inhibition, in a large trans-ethnic meta-analysis of six T2D case-control studies including 260,614 cases and 1,350,640 controls. Findings: In a meta-analysis of 15 prospective studies, higher levels of IL-6 (per log pg/mL) were significantly associated with a higher risk of incident T2D (1·24 95% CI, 1·17, 1·32; P = 1 × 10−12). In a trans-ethnic meta-analysis of 260,614 cases and 1,350,640 controls, the IL6R Asp358Ala missense variant was associated with lower odds of T2D (OR, 0·98; 95% CI, 0·97, 0·99; P = 2 × 10−7). This association was not due to diagnostic misclassification and was consistent across ethnic groups. IL-6 levels mediated up to 5% of the association between higher body mass index and T2D. Interpretation: Large-scale human prospective and genetic data provide evidence that IL-6 mediated inflammation is implicated in the etiology of T2D but suggest that the impact of this pathway on disease risk in the general population is likely to be small. Funding: The EPICNorfolk study has received funding from the Medical Research Council (MRC) (MR/N003284/1, MC-UU_12015/1 and MC_PC_13048) and Cancer Research UK (C864/A14136). The Fenland Study is funded by the MRC (MC_UU_12015/1 and MC_PC_13046).
Published: 2020
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43. Corrigendum to 'Genome-wide association study of adipocyte lipolysis in the GENetics of adipocyte lipolysis (GENiAL) cohort' [Molecular Metabolism 34 (2020) 85–96]

Author: Agné Kulyté, Veroniqa Lundbäck, Cecilia M. Lindgren, Jian'an Luan, Luca A. Lotta, Claudia Langenberg, Peter Arner, Rona J. Strawbridge, and Ingrid Dahlman
Subjects: Internal medicine, RC31-1245
Published: 2020
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44. The association between circulating 25-hydroxyvitamin D metabolites and type 2 diabetes in European populations: A meta-analysis and Mendelian randomisation analysis.

Author: Ju-Sheng Zheng, Jian'an Luan, Eleni Sofianopoulou, Stephen J Sharp, Felix R Day, Fumiaki Imamura, Thomas E Gundersen, Luca A Lotta, Ivonne Sluijs, Isobel D Stewart, Rupal L Shah, Yvonne T van der Schouw, Eleanor Wheeler, Eva Ardanaz, Heiner Boeing, Miren Dorronsoro, Christina C Dahm, Niki Dimou, Douae El-Fatouhi, Paul W Franks, Guy Fagherazzi, Sara Grioni, José María Huerta, Alicia K Heath, Louise Hansen, Mazda Jenab, Paula Jakszyn, Rudolf Kaaks, Tilman Kühn, Kay-Tee Khaw, Nasser Laouali, Giovanna Masala, Peter M Nilsson, Kim Overvad, Anja Olsen, Salvatore Panico, J Ramón Quirós, Olov Rolandsson, Miguel Rodríguez-Barranco, Carlotta Sacerdote, Annemieke M W Spijkerman, Tammy Y N Tong, Rosario Tumino, Konstantinos K Tsilidis, John Danesh, Elio Riboli, Adam S Butterworth, Claudia Langenberg, Nita G Forouhi, and Nicholas J Wareham
Subjects: Medicine
Abstract: BackgroundPrior research suggested a differential association of 25-hydroxyvitamin D (25(OH)D) metabolites with type 2 diabetes (T2D), with total 25(OH)D and 25(OH)D3 inversely associated with T2D, but the epimeric form (C3-epi-25(OH)D3) positively associated with T2D. Whether or not these observational associations are causal remains uncertain. We aimed to examine the potential causality of these associations using Mendelian randomisation (MR) analysis.Methods and findingsWe performed a meta-analysis of genome-wide association studies for total 25(OH)D (N = 120,618), 25(OH)D3 (N = 40,562), and C3-epi-25(OH)D3 (N = 40,562) in participants of European descent (European Prospective Investigation into Cancer and Nutrition [EPIC]-InterAct study, EPIC-Norfolk study, EPIC-CVD study, Ely study, and the SUNLIGHT consortium). We identified genetic variants for MR analysis to investigate the causal association of the 25(OH)D metabolites with T2D (including 80,983 T2D cases and 842,909 non-cases). We also estimated the observational association of 25(OH)D metabolites with T2D by performing random effects meta-analysis of results from previous studies and results from the EPIC-InterAct study. We identified 10 genetic loci associated with total 25(OH)D, 7 loci associated with 25(OH)D3 and 3 loci associated with C3-epi-25(OH)D3. Based on the meta-analysis of observational studies, each 1-standard deviation (SD) higher level of 25(OH)D was associated with a 20% lower risk of T2D (relative risk [RR]: 0.80; 95% CI 0.77, 0.84; p < 0.001), but a genetically predicted 1-SD increase in 25(OH)D was not significantly associated with T2D (odds ratio [OR]: 0.96; 95% CI 0.89, 1.03; p = 0.23); this result was consistent across sensitivity analyses. In EPIC-InterAct, 25(OH)D3 (per 1-SD) was associated with a lower risk of T2D (RR: 0.81; 95% CI 0.77, 0.86; p < 0.001), while C3-epi-25(OH)D3 (above versus below lower limit of quantification) was positively associated with T2D (RR: 1.12; 95% CI 1.03, 1.22; p = 0.006), but neither 25(OH)D3 (OR: 0.97; 95% CI 0.93, 1.01; p = 0.14) nor C3-epi-25(OH)D3 (OR: 0.98; 95% CI 0.93, 1.04; p = 0.53) was causally associated with T2D risk in the MR analysis. Main limitations include the lack of a non-linear MR analysis and of the generalisability of the current findings from European populations to other populations of different ethnicities.ConclusionsOur study found discordant associations of biochemically measured and genetically predicted differences in blood 25(OH)D with T2D risk. The findings based on MR analysis in a large sample of European ancestry do not support a causal association of total 25(OH)D or 25(OH)D metabolites with T2D and argue against the use of vitamin D supplementation for the prevention of T2D.
Published: 2020
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45. Large-scale genomics and proteomics to identify novel circulating biomarkers for bone density

Author: Sirui Zhou, John A. Morris, Erin Oerton, Vincenzo Forgetta, Claudia Langenberg, and J. Brent Richards
Subjects: Diseases of the musculoskeletal system, RC925-935
Published: 2020
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46. Variants associated with HHIP expression have sex-differential effects on lung function [version 1; peer review: 2 approved]

Author: Katherine A. Fawcett, Ma'en Obeidat, Carl Melbourne, Nick Shrine, Anna L. Guyatt, Catherine John, Jian'an Luan, Anne Richmond, Marta R. Moksnes, Raquel Granell, Stefan Weiss, Medea Imboden, Sebastian May-Wilson, Pirro Hysi, Thibaud S. Boutin, Laura Portas, Claudia Flexeder, Sarah E. Harris, Carol A. Wang, Leo-Pekka Lyytikäinen, Teemu Palviainen, Rachel E. Foong, Dirk Keidel, Cosetta Minelli, Claudia Langenberg, Yohan Bossé, Maarten Van den Berge, Don D. Sin, Ke Hao, Archie Campbell, David Porteous, Sandosh Padmanabhan, Blair H. Smith, David M. Evans, Sue Ring, Arnulf Langhammer, Kristian Hveem, Cristen Willer, Ralf Ewert, Beate Stubbe, Nicola Pirastu, Lucija Klaric, Peter K. Joshi, Karina Patasova, Mangino Massimo, Ozren Polasek, John M. Starr, Stefan Karrasch, Konstantin Strauch, Thomas Meitinger, Igor Rudan, Taina Rantanen, Kirsi Pietiläinen, Mika Kähönen, Olli T. Raitakari, Graham L. Hall, Peter D. Sly, Craig E. Pennell, Jaakko Kaprio, Terho Lehtimäki, Veronique Vitart, Ian J. Deary, Debbie Jarvis, James F. Wilson, Tim Spector, Nicole Probst-Hensch, Nicholas J. Wareham, Henry Völzke, John Henderson, David P. Strachan, Ben M. Brumpton, Caroline Hayward, Ian P. Hall, Martin D. Tobin, and Louise V. Wain
Subjects: Medicine, Science
Abstract: Background: Lung function is highly heritable and differs between the sexes throughout life. However, little is known about sex-differential genetic effects on lung function. We aimed to conduct the first genome-wide genotype-by-sex interaction study on lung function to identify genetic effects that differ between males and females. Methods: We tested for interactions between 7,745,864 variants and sex on spirometry-based measures of lung function in UK Biobank (N=303,612), and sought replication in 75,696 independent individuals from the SpiroMeta consortium. Results: Five independent single-nucleotide polymorphisms (SNPs) showed genome-wide significant (P
Published: 2020
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47. Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease

Author: Johannes Hertel, Amy C. Harms, Almut Heinken, Federico Baldini, Cyrille C. Thinnes, Enrico Glaab, Daniel A. Vasco, Maik Pietzner, Isobel D. Stewart, Nicholas J. Wareham, Claudia Langenberg, Claudia Trenkwalder, Rejko Krüger, Thomas Hankemeier, Ronan M.T. Fleming, Brit Mollenhauer, and Ines Thiele
Subjects: Biology (General), QH301-705.5
Abstract: Summary: Parkinson’s disease (PD) exhibits systemic effects on the human metabolism, with emerging roles for the gut microbiome. Here, we integrate longitudinal metabolome data from 30 drug-naive, de novo PD patients and 30 matched controls with constraint-based modeling of gut microbial communities derived from an independent, drug-naive PD cohort, and prospective data from the general population. Our key results are (1) longitudinal trajectory of metabolites associated with the interconversion of methionine and cysteine via cystathionine differed between PD patients and controls; (2) dopaminergic medication showed strong lipidomic signatures; (3) taurine-conjugated bile acids correlated with the severity of motor symptoms, while low levels of sulfated taurolithocholate were associated with PD incidence in the general population; and (4) computational modeling predicted changes in sulfur metabolism, driven by A. muciniphila and B. wadsworthia, which is consistent with the changed metabolome. The multi-omics integration reveals PD-specific patterns in microbial-host sulfur co-metabolism that may contribute to PD severity. : Hertel et al. demonstrate complex alterations in human and microbial sulfur metabolism in Parkinson’s disease by integrating longitudinal metabolomics and computational modeling of gut microbiomes. Then, potential clinical importance is revealed as secondary taurine-conjugated bile acids are shown to be associated with disease severity and Parkinson’s disease incidence. Keywords: metabolism, Parkinson's disease, neurodegenerative disease, microbiome, transsulfuration pathway, metabolomics, metagenomics, metabolic modeling, taurine metabolism, bile acid metabolism
Published: 2019
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48. Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels

Author: Xia Jiang, Paul F. O’Reilly, Hugues Aschard, Yi-Hsiang Hsu, J. Brent Richards, Josée Dupuis, Erik Ingelsson, David Karasik, Stefan Pilz, Diane Berry, Bryan Kestenbaum, Jusheng Zheng, Jianan Luan, Eleni Sofianopoulou, Elizabeth A. Streeten, Demetrius Albanes, Pamela L. Lutsey, Lu Yao, Weihong Tang, Michael J. Econs, Henri Wallaschofski, Henry Völzke, Ang Zhou, Chris Power, Mark I. McCarthy, Erin D. Michos, Eric Boerwinkle, Stephanie J. Weinstein, Neal D. Freedman, Wen-Yi Huang, Natasja M. Van Schoor, Nathalie van der Velde, Lisette C. P. G. M. de Groot, Anke Enneman, L. Adrienne Cupples, Sarah L. Booth, Ramachandran S. Vasan, Ching-Ti Liu, Yanhua Zhou, Samuli Ripatti, Claes Ohlsson, Liesbeth Vandenput, Mattias Lorentzon, Johan G. Eriksson, M. Kyla Shea, Denise K. Houston, Stephen B. Kritchevsky, Yongmei Liu, Kurt K. Lohman, Luigi Ferrucci, Munro Peacock, Christian Gieger, Marian Beekman, Eline Slagboom, Joris Deelen, Diana van Heemst, Marcus E. Kleber, Winfried März, Ian H. de Boer, Alexis C. Wood, Jerome I. Rotter, Stephen S. Rich, Cassianne Robinson-Cohen, Martin den Heijer, Marjo-Riitta Jarvelin, Alana Cavadino, Peter K. Joshi, James F. Wilson, Caroline Hayward, Lars Lind, Karl Michaëlsson, Stella Trompet, M. Carola Zillikens, Andre G. Uitterlinden, Fernando Rivadeneira, Linda Broer, Lina Zgaga, Harry Campbell, Evropi Theodoratou, Susan M. Farrington, Maria Timofeeva, Malcolm G. Dunlop, Ana M. Valdes, Emmi Tikkanen, Terho Lehtimäki, Leo-Pekka Lyytikäinen, Mika Kähönen, Olli T. Raitakari, Vera Mikkilä, M. Arfan Ikram, Naveed Sattar, J. Wouter Jukema, Nicholas J. Wareham, Claudia Langenberg, Nita G. Forouhi, Thomas E. Gundersen, Kay-Tee Khaw, Adam S. Butterworth, John Danesh, Timothy Spector, Thomas J. Wang, Elina Hyppönen, Peter Kraft, and Douglas P. Kiel
Subjects: Science
Abstract: Vitamin D deficiency is associated with multiple human pathologic conditions. In a genome-wide association study of 79,366 individuals, Jiang et al. replicate four and identify two new genetic loci for serum levels of 25-hydroxyvitamin D and find evidence for a shared genetic basis with autoimmune diseases.
Published: 2018
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49. Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes

Author: Sílvia Bonàs-Guarch, Marta Guindo-Martínez, Irene Miguel-Escalada, Niels Grarup, David Sebastian, Elias Rodriguez-Fos, Friman Sánchez, Mercè Planas-Fèlix, Paula Cortes-Sánchez, Santi González, Pascal Timshel, Tune H. Pers, Claire C. Morgan, Ignasi Moran, Goutham Atla, Juan R. González, Montserrat Puiggros, Jonathan Martí, Ehm A. Andersson, Carlos Díaz, Rosa M. Badia, Miriam Udler, Aaron Leong, Varindepal Kaur, Jason Flannick, Torben Jørgensen, Allan Linneberg, Marit E. Jørgensen, Daniel R. Witte, Cramer Christensen, Ivan Brandslund, Emil V. Appel, Robert A. Scott, Jian’an Luan, Claudia Langenberg, Nicholas J. Wareham, Oluf Pedersen, Antonio Zorzano, Jose C Florez, Torben Hansen, Jorge Ferrer, Josep Maria Mercader, and David Torrents
Subjects: Science
Abstract: Genome-wide association studies have uncovered several loci associated with diabetes risk. Here, the authors reanalyse public type 2 diabetes GWAS data to fine map 50 known loci and identify seven new ones, including one near ATGR2 on the X-chromosome that doubles the risk of diabetes in men.
Published: 2018
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50. Elevated Plasma Levels of 3-Hydroxyisobutyric Acid Are Associated With Incident Type 2 Diabetes

Author: Adil Mardinoglu, Silvia Gogg, Luca A. Lotta, Alena Stančáková, Annika Nerstedt, Jan Boren, Matthias Blüher, Ele Ferrannini, Claudia Langenberg, Nicholas J. Wareham, Markku Laakso, and Ulf Smith
Subjects: 3-Hydroxyisobutyric acid (3-HIB), Branched-chain amino acids (BCAAs), T2D, Insulin resistance, Insulin secretion, Medicine, Medicine (General), R5-920
Abstract: Branched-chain amino acids (BCAAs) metabolite, 3-Hydroxyisobutyric acid (3-HIB) has been identified as a secreted mediator of endothelial cell fatty acid transport and insulin resistance (IR) using animal models. To identify if 3-HIB is a marker of human IR and future risk of developing Type 2 diabetes (T2D), we measured plasma levels of 3-HIB and associated metabolites in around 10,000 extensively phenotyped individuals. The levels of 3-HIB were increased in obesity but not robustly associated with degree of IR after adjusting for BMI. Nevertheless, also after adjusting for obesity and plasma BCAA, 3-HIB levels were associated with future risk of incident T2D. We also examined the effect of 3-HIB on fatty acid uptake in human cells and found that both HUVEC and human cardiac endothelial cells respond to 3-HIB whereas human adipose tissue-derived endothelial cells do not respond to 3-HIB. In conclusion, we found that increased plasma level of 3-HIB is a marker of future risk of T2D and 3-HIB may be important for the regulation of metabolic flexibility in heart and muscles.
Published: 2018
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