Article
Clinical Neurology
Daisy C. P. Crick, Eleanor Sanderson, Hannah Jones, Neil Goulding, Maria Carolina Borges, Gemma Clayton, Alice R. Carter, Sarah Halligan, Deborah A. Lawlor, Golam M. Khandaker, Abigail Fraser
Summary: This study examined the relationship between inflammation and depression using data from the ALSPAC birth cohort. The findings suggest that while there is no consistent evidence for an effect of inflammation on depression, there is evidence that depression may increase inflammation, which may be confounded by body mass index.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Biochemistry & Molecular Biology
Yuchen Cai, Fei Fang, Tianyi Zhou, Wenjun Shi, Xueyao Cai, Yao Fu
Summary: This study used the Mendelian randomization approach to explore the impact of circulating lipids and lipid-modifying drugs on pterygium development. The findings suggest that higher total cholesterol and genetically predicted low-density lipoprotein cholesterol levels are risk factors for pterygium. Additionally, it was found that drugs that lower LDL-c levels may have a potential protective effect on pterygium outcomes.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2023)
Review
Endocrinology & Metabolism
Kelli L. Sylvers-Davie, Brandon S. J. Davies
Summary: Triglyceride-rich lipoproteins deliver fatty acids to tissues for oxidation and storage, facilitated by lipoprotein lipase (LPL) which acts as a gatekeeper for fatty acid uptake. LPL activity is regulated by extracellular proteins including members of the angiopoietin-like family of proteins. This review delves into how ANGPTL3, ANGPTL4, and ANGPTL8 regulate LPL activity and coordinate triglyceride metabolism and fat partitioning.
AMERICAN JOURNAL OF PHYSIOLOGY-ENDOCRINOLOGY AND METABOLISM
(2021)
Article
Biochemistry & Molecular Biology
Fredrik Landfors, Elin Chorell, Sander Kersten
Summary: Angiopoietin-like proteins (ANGPTL3, ANGPTL4, and ANGPTL8) play a role in regulating plasma lipids. This study analyzed genetic variants in several genes related to lipid metabolism and found that ANGPTL4 primarily affects plasma metabolic parameters through LPL. On the other hand, ANGPTL3 affects these parameters by targeting both LPL and EL. The impact of the ANGPTL3-ANGPTL8 complex was found to be stronger on EL inhibition than on LPL inhibition. Overall, this analysis provides strong genetic evidence for the involvement of the ANGPTL3-ANGPTL8 complex in regulating plasma metabolic parameters.
JOURNAL OF LIPID RESEARCH
(2022)
Article
Endocrinology & Metabolism
Yunyi Xie, Han Qi, Bingxiao Li, Fuyuan Wen, Fengxu Zhang, Chunyue Guo, Ling Zhang
Summary: The study found an independent association between lp(a) levels and four renal function indexes, and a causal association with Scr and BUN, indicating a link between lp(a) and the risk of renal function damage in general Chinese adults.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Cardiac & Cardiovascular Systems
Jun Xiao, Jianguang Ji, Naiqi Zhang, Xi Yang, Keyuan Chen, Liangwan Chen, Wuqing Huang
Summary: This study assessed the association between genetically predicted lipid traits, their modification through licensed or investigational targets, and heart failure. The results showed a significant relationship between genetically predicted LDL-C, TG, HDL-C, and ApoB levels and heart failure, mainly mediated by coronary heart disease. Drug target analysis identified PCSK9, CETP, and LPL as potential targets for heart failure prevention.
EUROPEAN JOURNAL OF PREVENTIVE CARDIOLOGY
(2023)
Article
Nutrition & Dietetics
Gehua Zhu, Jiamin Xu, Guanghua Guo, Feng Zhu
Summary: This study used the two-sample Mendelian randomization (MR) approach to assess the causal relationship between lipids, apolipoproteins, and telomere length (TL). The results suggest potential positive causal relationships between genetically predicted MUFA, MUFA/FA ratio, LDL-C, VLDL-C, total cholesterol, ApoB, and TG with TL.
Article
Peripheral Vascular Disease
Hillary Hosier, Heather S. Lipkind, Humaira Rasheed, Andrew T. DeWan, Tormod Rogne
Summary: This study uses Mendelian randomization analyses to examine the association between lipid levels and the risk of preeclampsia. The findings suggest that elevated high-density lipoprotein cholesterol (HDL-C) is associated with a reduced risk of preeclampsia.
Article
Clinical Neurology
Jianfeng Lin, Jiawei Zhou, Yan Xu
Summary: Lin et al. use Mendelian randomization analysis to identify potential drug targets for multiple sclerosis. They find that genetically determined levels of certain plasma and CSF proteins are associated with multiple sclerosis risk. These findings suggest promising drug targets for multiple sclerosis prevention.
Article
Clinical Neurology
Baorui Zhang, Siyuan Dong, Yan Miao, Guangrong Song, Fei Yuan, Lang Liu, Saide Xia, Yongkai Qin, Xiaochuan Huo, Zhongxue Wu, Zhongrong Miao, Dapeng Mo, Aihua Liu
Summary: Using Mendelian randomization analysis, this study found that genetically determined high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) are associated with a reduced risk of intracranial aneurysm (IA) and ruptured IA. The effects of different lipid-modifying drugs on IA need further investigation.
EUROPEAN JOURNAL OF NEUROLOGY
(2022)
Article
Oncology
Zicheng Liang, Zhen Zhang, Xiaoning Tan, Puhua Zeng
Summary: This study used Mendelian randomization to investigate the causal relationship between serum lipid indicators, lipid-lowering drugs, and the risk of liver cancer. The results showed that reduced levels of LDL-c and TC were associated with an increased risk of liver cancer, while TG, HDL-c, and ApoA1 levels did not show any significant correlation. Statins, which target HMGCR, were associated with an increased risk of liver cancer, while PCSK9 inhibitors did not show any significant association.
FRONTIERS IN ONCOLOGY
(2023)
Article
Medicine, General & Internal
Jing-Jia Wang, Zhen-Huang Zhuang, Chun-Li Shao, Can-Qing Yu, Wen-Yao Wang, Kuo Zhang, Xiang-Bin Meng, Jun Gao, Jian Tian, Ji-Lin Zheng, Tao Huang, Yi-Da Tang
Summary: Through Mendelian randomization analysis, it was found that thyroid dysfunction is associated with dyslipidemia. Specifically, elevated thyrotropin (TSH) levels were significantly correlated with higher levels of total cholesterol (TC) and low-density lipoprotein (LDL); the ratio between free triiodothyronine (FT3) and free thyroxine (FT4) was also significantly associated with TC and LDL levels, emphasizing the importance of the pituitary-thyroid-cardiac axis in dyslipidemia susceptibility.
CHINESE MEDICAL JOURNAL
(2021)
Article
Medicine, Research & Experimental
Shiyue Wang, Li Zha, Jian Chen, Dongjie Du, Danyang Liu, Ming Zhong, Rongfang Shang, Dongxue Sun, Chang Sun, Enze Jin
Summary: This study found a causal relationship between lipoprotein(a) (Lp(a)) and coronary heart disease, aortic aneurysm, and large artery atherosclerosis stroke. However, no causal association was found with atrial fibrillation, heart failure, ischemic stroke, small vessel stroke, lacunar stroke, secondary hypertension, or pulmonary embolism.
EUROPEAN JOURNAL OF MEDICAL RESEARCH
(2022)
Article
Cell Biology
Qiannan Gao, Jiang-Shan Tan, Luyun Fan, Xiaoqi Wang, Lu Hua, Jun Cai
Summary: This study investigated the causal association between disorders of lipoprotein metabolism and cardiovascular diseases (CVDs) using Mendelian randomization. The results showed a significant causal relationship between disorders of lipoprotein metabolism and various CVDs, including coronary artery disease, aortic aneurysm, heart failure, hypertension, myocardial infarction, and stroke. These associations may be useful for developing treatment strategies targeting lipoprotein metabolism in CVD patients.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Clinical Neurology
Yaodan Bi, Yinchao Zhu, Shuai Tang, Yuguang Huang
Summary: In this study, LPL and HMGCR were found to be significantly associated with migraine risk through Mendelian randomization analysis, suggesting that these proteins could serve as candidate drug targets for the treatment or prevention of migraines.
JOURNAL OF HEADACHE AND PAIN
(2023)
Article
Geriatrics & Gerontology
Laura Kananen, Mikko Hurme, Alexander Buerkle, Maria Moreno-Villanueva, Jurgen Bernhardt, Florence Debacq-Chainiaux, Beatrix Grubeck-Loebenstein, Marco Malavolta, Andrea Basso, Francesco Piacenza, Sebastiano Collino, Efstathios S. Gonos, Ewa Sikora, Daniela Gradinaru, Eugene H. J. M. Jansen, Martijn E. T. Dolle, Michel Salmon, Wolfgang Stuetz, Daniela Weber, Tilman Grune, Nicolle Breusing, Andreas Simm, Miriam Capri, Claudio Franceschi, Eline Slagboom, Duncan Talbot, Claude Libert, Jani Raitanen, Seppo Koskinen, Tommi Harkanen, Sari Stenholm, Mika Ala-Korpela, Terho Lehtimaki, Olli T. Raitakari, Olavi Ukkola, Mika Kahonen, Marja Jylha, Juulia Jylhava
Summary: Circulating cell-free DNA (cf-DNA) levels are associated with age, sex, smoking, physical activity, vegetable consumption, ageing phenotypes, and various biomarkers. Higher cf-DNA levels were found in men, especially middle-aged men and women who smoke, and older frail individuals. Inflammatory markers, metabolites, and antioxidant levels were correlated with cf-DNA levels. These findings have implications for future studies on the epidemiology and biological mechanisms of cf-DNA and its potential as a clinical marker.
Article
Endocrinology & Metabolism
Mika Ala-Korpela, Terho Lehtimaki, Mika Kahonen, Jorma Viikari, Markus Perola, Veikko Salomaa, Johannes Kettunen, Olli T. Raitakari, Ville-Petteri Makinen
Summary: This study tested whether cross-sectional modeling can distinguish slow vs accelerated aging in a human population. A machine learning model was trained to predict age and tested against longitudinal data. The results showed that the cross-sectional proxy failed to predict longitudinal observations, suggesting that differences in starting points may explain diverging aging rates.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2023)
Article
Psychology, Clinical
Amanda Nurmi, Laura Pulkki-Raback, Pia Salo, Katja Pahkala, Markus Juonala, Nina Hutri-Kahonen, Mika Kahonen, Terho Lehtimaki, Eero Jokinen, Liisa Keltikangas-Jarvinen, Tomi P. Laitinen, Paivi Tossavainen, Leena Taittonen, Jorma S. A. Viikari, Olli T. Raitakari, Suvi P. Rovio
Summary: The study found that adverse childhood psychosocial factors are associated with midlife learning ability and memory. Specifically, poor self-regulatory behavior and social adjustment in childhood are related to poorer learning ability and memory 30 years later.
Article
Genetics & Heredity
Tiit Ord, Tapio Lonnberg, Valtteri Nurminen, Aarthi Ravindran, Henri Niskanen, Miika Kiema, Kadri Ounap, Maleeha Maria, Pierre R. Moreau, Pashupati P. Mishra, Senthil Palani, Jenni Virta, Heidi Liljenback, Einari Aavik, Anne Roivainen, Seppo Yla-Herttuala, Johanna P. Laakkonen, Terho Lehtimaki, Minna U. Kaikkonen
Summary: Coronary artery disease (CAD) is a global disease with significant genetic factors. By using single-cell and bulk RNA sequencing, this study explores the biological diversity of atherosclerosis-associated cell states and their contribution to CAD risk. The researchers identified disease-associated cell states, with Vcam1 thorn smooth muscle cells showing the highest contribution to CAD heritability. The findings provide insights into CAD risk mechanisms and have implications for precision medicine and tailored therapeutic interventions.
AMERICAN JOURNAL OF HUMAN GENETICS
(2023)
Article
Peripheral Vascular Disease
Erika Kahonen, Satu Korpimaki, Markus Juonala, Mika Kahonen, Terho Lehtimaki, Nina Hutri-Kahonen, Olli T. Raitakari, Mika Kivimaki, Jussi Vahtera
Summary: Limited data is available on the association between neighbourhood deprivation and arterial stiffening. This study found that neighbourhood deprivation in childhood and adulthood predicts arterial stiffness indicated by pulse wave velocity (PWV). These findings suggest that neighbourhood deprivation and low adulthood socioeconomic status are independent risk factors for increased arterial stiffness in adulthood.
Article
Multidisciplinary Sciences
Havard Aanes, Oyvind Bleka, Pal Skage Dahlberg, Kristina Totland Carm, Terho Lehtimaki, Olli Raitakari, Mika Kahonen, Mikko Hurme, Veslemoy Rolseth
Summary: More than 1/4 of children globally lack documentation of their date of birth, emphasizing the need for biological methods to predict age. DNA methylation is the most promising biomarker for age assessment, but there is currently no epigenetic clock specifically designed for adolescents and young adults. A novel age predictor called PAYA, using 267 CpG methylation sites, shows potential for age assessment in this population, but further research is needed to test its robustness across different populations and environments.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Miikael Lehtimaki, Binisha H. H. Mishra, Coral Del-Val, Leo-Pekka Lyytikainen, Mika Kahonen, C. Robert Cloninger, Olli T. T. Raitakari, Reijo Laaksonen, Igor Zwir, Terho Lehtimaki, Pashupati P. P. Mishra
Summary: This study used an unsupervised machine learning method called PGMRA to discover the genotype-lipidome relations in a Finnish population. The researchers found 93 statistically significant lipidome-genotype relations, which contained a total of 5977 SNPs across 3164 genes. Twenty nine of these relations represented distinct subgroups with unique SNPs and participants. Pathway enrichment analysis identified 30 significantly enriched biological processes related to plasma lipid metabolism. These findings have implications for precision medicine research.
SCIENTIFIC REPORTS
(2023)
Article
Cardiac & Cardiovascular Systems
Juhani S. Koskinen, Ville Kyto, Markus Juonala, Jorma S. A. Viikari, Jaakko Nevalainen, Mika Kahonen, Terho Lehtimaki, Nina Hutri-Kahonen, Tomi P. Laitinen, Paivi Tossavainen, Eero Jokinen, Costan G. Magnussen, Olli T. Raitakari
Summary: This study examines the association between childhood and adult dyslipidemia and adult carotid atherosclerotic plaques, and found that childhood dyslipidemia, even if resolved by adulthood, is still a risk factor for adult carotid plaques.
JOURNAL OF THE AMERICAN HEART ASSOCIATION
(2023)
Article
Neurosciences
Simo-Pekko Salminen, Anssi Solismaa, Leo-Pekka Lyytikainen, Vesa Paavonen, Nina Mononen, Terho Lehtimaki, Esa Leinonen, Olli Kampman
Summary: This study examined the clustering of Cloninger's temperament dimensions and their association with single nucleotide polymorphisms (SNPs). The results showed that multiple SNPs from different genes were associated with different temperament clusters. Genetic risk scores (GRSs) were also found to be associated with individuals' temperament profiles. However, further research is needed to explore the clinical applicability of these clusters.
ACTA NEUROPSYCHIATRICA
(2023)
Article
Multidisciplinary Sciences
Yordi van de Vegte, Ruben P. Eppinga, M. Yldau van der Ende, Yanick Hagemeijer, Yuvaraj V. Mahendran, Elias Y. Salfati, Albert E. Smith, Vanessa Tan, Dan V. Arking, Ioanna Ntalla, Emil A. Appel, Claudia Schurmann, Jennifer Brody, Rico Rueedi, Ozren Polasek, Gardar Sveinbjornsson, Cecile Lecoeur, Claes Ladenvall, Jing Hua Zhao, Aaron Isaacs, Lihua Wang, Jian'an Luan, Shih-Jen Hwang, Nina U. Mononen, Kirsi F. Auro, Anne Jackson, Lawrence Bielak, Linyao Zeng, Nabi Shah, Maria Nethander, Archie Campbell, Tuomo Rankinen, Sonali Pechlivanis, Lu Qi, Wei Zhao, Federica Rizzi, Toshiko Tanaka, Antonietta Robino, Massimiliano Cocca, Leslie Lange, Martina Mueller-Nurasyid, Carolina E. Roselli, Weihua Zhang, Marcus J. Kleber, Xiuqing Guo, Henry E. Lin, Francesca Pavani, Tessel Galesloot, Raymond E. Noordam, Yuri Milaneschi, Katharina Schraut, Marcel den Hoed, Frauke E. Degenhardt, Stella Trompet, Marten van den Berg, Giorgio Pistis, Yih-Chung S. Tham, Stefan L. Weiss, Xueling J. Sim, Hengtong M. Li, Peter van der Most, Ilja Nolte, Leo-Pekka R. Lyytikaeinen, M. Abdullah Said, Daniel Witte, Carlos M. Iribarren, Lenore S. Launer, Susan Ring, Paul de Vries, Peter P. Sever, Allan Linneberg, Erwin M. Bottinger, Sandosh Padmanabhan, Bruce Psaty, Nona Sotoodehnia, Ivana Kolcic, Delnaz D. Roshandel, Andrew O. Paterson, David F. Arnar, Daniel Gudbjartsson, Hilma Holm, Beverley T. Balkau, Claudia H. Silva, Christopher Newton-Cheh, Kjell Nikus, Perttu L. Salo, Karen A. Mohlke, Patricia Peyser, Heribert Schunkert, Mattias Lorentzon, Jari C. Lahti, Dabeeru C. Rao, Marilyn D. Cornelis, Jessica A. Faul, Jennifer Smith, Katarzyna Stolarz-Skrzypek, Stefania Bandinelli, Maria Pina Concas, Gianfranco Sinagra, Thomas Meitinger, Melanie F. Waldenberger, Moritz Sinner, Konstantin E. Strauch, Graciela D. Delgado, Kent Taylor, Jie Yao, Luisa Foco, Olle Melander, Jacqueline de Graaf, Renee de Mutsert, Eco J. C. de Geus, Asa K. Johansson, Peter K. Joshi, Lars Lind, Andre W. Franke, Peter V. Macfarlane, Kirill Tarasov, Nicholas B. Tan, Stephan Felix, E-Shyong Q. Tai, Debra Quek, Harold Snieder, Johan Ormel, Martin Ingelsson, Cecilia P. Lindgren, Andrew T. Morris, Olli Raitakari, Torben Hansen, Themistocles Assimes, Vilmundur J. Gudnason, Nicholas C. Timpson, Alanna B. Morrison, Patricia P. Munroe, David Strachan, Niels Grarup, Ruth J. F. R. Loos, Susan Heckbert, Peter Vollenweider, Caroline Hayward, Kari Stefansson, Philippe Froguel, Leif J. Groop, Nicholas M. Wareham, Cornelia F. van Duijn, Mary J. Feitosa, Christopher O'Donnell, Mika Kaehoenen, Markus Perola, Michael Boehnke, Sharon L. R. Kardia, Jeanette Erdmann, Colin N. A. Palmer, Claes J. Ohlsson, David G. Porteous, Johan Eriksson, Claude Bouchard, Susanne Moebus, Peter R. Kraft, David Weir, Daniele Cusi, Luigi Ferrucci, Sheila Ulivi, Giorgia Girotto, Adolfo Correa, Stefan Kaeaeb, Annette C. Peters, John S. Chambers, Jaspal Kooner, Winfried I. Maerz, Jerome A. Rotter, Andrew Hicks, J. Gustav Smith, Lambertus A. L. M. O. Kiemeney, Dennis Mook-Kanamori, Brenda W. J. H. Penninx, Ulf F. Gyllensten, James Wilson, Stephen Burgess, Johan Sundstroem, Wolfgang Lieb, J. Wouter Jukema, Mark Eijgelsheim, Edward L. M. Lakatta, Ching-Yu Cheng, Marcus Doerr, Tien-Yin Wong, Charumathi J. Sabanayagam, Albertine Oldehinkel, Harriette Riese, Terho Lehtimaeki, Niek Verweij, Pim van der Harst
Summary: This study identifies new genetic variants associated with resting heart rate (RHR) and demonstrates that higher genetically predicted RHR is associated with a decreased risk of atrial fibrillation and ischemic stroke. Genome-wide analysis reveals multiple genetic variants in cardiomyocyte-related genes and provides insights into their electrocardiogram (ECG) signature. Mendelian randomization analyses indicate that higher genetically predicted RHR increases the risk of dilated cardiomyopathy, but reduces the risk of atrial fibrillation, ischemic stroke, and cardio-embolic stroke.
NATURE COMMUNICATIONS
(2023)
Article
Cardiac & Cardiovascular Systems
Matilda Hurskainen, Juho Tynkkynen, Markku Eskola, Terho Lehtimaki, Jussi Hernesniemi
Summary: This study aimed to investigate the risk factors for ischemic stroke (IS) after acute coronary syndromes (ACS). Based on a retrospective registry study of 8049 ACS patients, it was found that previous stroke, atrial fibrillation or flutter, and heart failure indicated by the Killip classification were the most significant risk factors for both early-onset and late-onset IS. Left ventricular ejection fraction and coronary artery disease severity were important risk factors for early-onset IS, while age and peripheral artery disease were important risk factors for late-onset IS. The CHA(2)DS(2)-VASc score and its components were strong predictors for both early-onset and late-onset IS.
JOURNAL OF THE AMERICAN HEART ASSOCIATION
(2023)
Article
Biotechnology & Applied Microbiology
Pashupati P. Mishra, Binisha H. Mishra, Emma Raitoharju, Nina Mononen, Jorma Viikari, Markus Juonala, Nina Hutri-Kahonen, Mika Kahonen, Olli T. Raitakari, Terho Lehtimaki
Summary: Advanced integrative analysis of DNA methylation and transcriptomics data reveals the effects of smoke-induced epigenetic alterations on gene expression and biological processes, linking smoking and related diseases.
OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
(2023)
Correction
Multidisciplinary Sciences
Mitja I. Kurki, Juha Karjalainen, Priit Palta, Timo P. Sipila, Kati Kristiansson, Kati M. Donner, Mary P. Reeve, Hannele Laivuori, Mervi Aavikko, Mari A. Kaunisto, Anu Loukola, Elisa Lahtela, Hannele Mattsson, Paivi Laiho, Pietro Della Briotta Parolo, Arto A. Lehisto, Masahiro Kanai, Nina Mars, Joel Ramo, Tuomo Kiiskinen, Henrike O. Heyne, Kumar Veerapen, Sina Rueger, Susanna Lemmela, Wei Zhou, Sanni Ruotsalainen, Kalle Parn, Tero Hiekkalinna, Sami Koskelainen, Teemu Paajanen, Vincent Llorens, Javier Gracia-Tabuenca, Harri Siirtola, Kadri Reis, Abdelrahman G. Elnahas, Benjamin Sun, Christopher N. Foley, Katriina Aalto-Setala, Kaur Alasoo, Mikko Arvas, Kirsi Auro, Shameek Biswas, Argyro Bizaki-Vallaskangas, Olli Carpen, Chia-Yen Chen, Oluwaseun A. Dada, Zhihao Ding, Margaret G. Ehm, Kari Eklund, Martti Farkkila, Hilary Finucane, Andrea Ganna, Awaisa Ghazal, Robert R. Graham, Eric M. Green, Antti Hakanen, Marco Hautalahti, Asa K. Hedman, Mikko Hiltunen, Reetta Hinttala, Iiris Hovatta, Xinli Hu, Adriana Huertas-Vazquez, Laura Huilaja, Julie Hunkapiller, Howard Jacob, Jan-Nygaard Jensen, Heikki Joensuu, Sally John, Valtteri Julkunen, Marc Jung, Juhani Junttila, Kai Kaarniranta, Mika Kahonen, Risto Kajanne, Lila Kallio, Reetta Kalviainen, Jaakko Kaprio, Nurlan Kerimov, Johannes Kettunen, Elina Kilpelainen, Terhi Kilpi, Katherine Klinger, Veli-Matti Kosma, Teijo Kuopio, Venla Kurra, Triin Laisk, Jari Laukkanen, Nathan Lawless, Aoxing Liu, Simonne Longerich, Reedik Magi, Johanna Makela, Antti Makitie, Anders Malarstig, Arto Mannermaa, Joseph Maranville, Athena Matakidou, Tuomo Meretoja, Sahar V. Mozaffari, Mari E. K. Niemi, Marianna Niemi, Teemu Niiranen, Christopher J. O'Donnell, Ma'En Obeidat, George Okafo, Hanna M. Ollila, Antti Palomaki, Tuula Palotie, Jukka Partanen, Dirk S. Paul, Margit Pelkonen, Rion K. Pendergrass, Slave Petrovski, Anne Pitkaranta, Adam Platt, David Pulford, Eero Punkka, Pirkko Pussinen, Neha Raghavan, Fedik Rahimov, Deepak Rajpal, Nicole A. Renaud, Bridget Riley-Gillis, Rodosthenis Rodosthenous, Elmo Saarentaus, Aino Salminen, Eveliina Salminen, Veikko Salomaa, Johanna Schleutker, Raisa Serpi, Huei-yi Shen, Richard Siegel, Kaisa Silander, Sanna Siltanen, Sirpa Soini, Hilkka Soininen, Jae Hoon Sul, Ioanna Tachmazidou, Kaisa Tasanen, Pentti Tienari, Sanna Toppila-Salmi, Taru Tukiainen, Tiinamaija Tuomi, Joni A. Turunen, Jacob C. Ulirsch, Felix Vaura, Petri Virolainen, Jeffrey Waring, Dawn Waterworth, Robert Yang, Mari Nelis, Anu Reigo, Andres Metspalu, Lili Milani, Tonu Esko, Caroline Fox, Aki S. Havulinna, Markus Perola, Samuli Ripatti, Anu Jalanko, Tarja Laitinen, Tomi P. Makela, Robert Plenge, Mark McCarthy, Heiko Runz, Mark J. Daly, Aarno Palotie
