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8 results on '"Davey Smith, George [0000-0002-1407-8314]"'

1. Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects

Author

Howe, Laurence J, Nivard, Michel G, Morris, Tim T, Hansen, Ailin F, Rasheed, Humaira, Cho, Yoonsu, Chittoor, Geetha, Ahlskog, Rafael, Lind, Penelope A, Palviainen, Teemu, Van Der Zee, Matthijs D, Cheesman, Rosa, Mangino, Massimo, Wang, Yunzhang, Li, Shuai, Klaric, Lucija, Ratliff, Scott M, Bielak, Lawrence F, Nygaard, Marianne, Giannelis, Alexandros, Willoughby, Emily A, Reynolds, Chandra A, Balbona, Jared V, Andreassen, Ole A, Ask, Helga, Baras, Aris, Bauer, Christopher R, Boomsma, Dorret I, Campbell, Archie, Campbell, Harry, Chen, Zhengming, Christofidou, Paraskevi, Corfield, Elizabeth, Dahm, Christina C, Dokuru, Deepika R, Evans, Luke M, De Geus, Eco JC, Giddaluru, Sudheer, Gordon, Scott D, Harden, K Paige, Hill, W David, Hughes, Amanda, Kerr, Shona M, Kim, Yongkang, Kweon, Hyeokmoon, Latvala, Antti, Lawlor, Deborah A, Li, Liming, Lin, Kuang, Magnus, Per, Magnusson, Patrik KE, Mallard, Travis T, Martikainen, Pekka, Mills, Melinda C, Njølstad, Pål Rasmus, Overton, John D, Pedersen, Nancy L, Porteous, David J, Reid, Jeffrey, Silventoinen, Karri, Southey, Melissa C, Stoltenberg, Camilla, Tucker-Drob, Elliot M, Wright, Margaret J, Social Science Genetic Association Consortium, Within Family Consortium, Hewitt, John K, Keller, Matthew C, Stallings, Michael C, Lee, James J, Christensen, Kaare, Kardia, Sharon LR, Peyser, Patricia A, Smith, Jennifer A, Wilson, James F, Hopper, John L, Hägg, Sara, Spector, Tim D, Pingault, Jean-Baptiste, Plomin, Robert, Havdahl, Alexandra, Bartels, Meike, Martin, Nicholas G, Oskarsson, Sven, Justice, Anne E, Millwood, Iona Y, Hveem, Kristian, Naess, Øyvind, Willer, Cristen J, Åsvold, Bjørn Olav, Koellinger, Philipp D, Kaprio, Jaakko, Medland, Sarah E, Walters, Robin G, Benjamin, Daniel J, Turley, Patrick, Evans, David M, Davey Smith, George, Hayward, Caroline, Brumpton, Ben, Hemani, Gibran, Davies, Neil M, Howe, Laurence J [0000-0002-2819-9686], Nivard, Michel G [0000-0003-2015-1888], Morris, Tim T [0000-0001-8178-6815], Rasheed, Humaira [0000-0002-3331-5864], Cho, Yoonsu [0000-0001-6118-6652], Lind, Penelope A [0000-0002-3887-2598], Palviainen, Teemu [0000-0002-7847-8384], van der Zee, Matthijs D [0000-0003-4076-9167], Mangino, Massimo [0000-0002-2167-7470], Wang, Yunzhang [0000-0003-1165-3595], Klaric, Lucija [0000-0003-3105-8929], Bielak, Lawrence F [0000-0002-3443-8030], Nygaard, Marianne [0000-0003-0703-2665], Giannelis, Alexandros [0000-0003-4587-0336], Willoughby, Emily A [0000-0001-7559-1544], Reynolds, Chandra A [0000-0001-6502-7173], Balbona, Jared V [0000-0003-4466-248X], Andreassen, Ole A [0000-0002-4461-3568], Ask, Helga [0000-0003-0149-5319], Baras, Aris [0000-0002-6830-3396], Boomsma, Dorret I [0000-0002-7099-7972], Campbell, Archie [0000-0003-0198-5078], Chen, Zhengming [0000-0001-6423-105X], Corfield, Elizabeth [0000-0002-0119-157X], Evans, Luke M [0000-0002-7458-1720], Gordon, Scott D [0000-0001-7623-328X], Harden, K Paige [0000-0002-1557-6737], Hughes, Amanda [0000-0001-5896-7650], Kerr, Shona M [0000-0002-4137-1495], Kweon, Hyeokmoon [0000-0002-3649-0457], Lawlor, Deborah A [0000-0002-6793-2262], Magnusson, Patrik KE [0000-0002-7315-7899], Mallard, Travis T [0000-0002-3265-3001], Martikainen, Pekka [0000-0001-9374-1438], Njølstad, Pål Rasmus [0000-0003-0304-6728], Porteous, David J [0000-0003-1249-6106], Reid, Jeffrey [0000-0001-8645-4713], Southey, Melissa C [0000-0002-6313-9005], Stoltenberg, Camilla [0000-0002-8747-1985], Tucker-Drob, Elliot M [0000-0001-5599-6237], Wright, Margaret J [0000-0001-7133-4970], Keller, Matthew C [0000-0002-6075-9882], Lee, James J [0000-0001-6547-5128], Christensen, Kaare [0000-0002-5429-5292], Peyser, Patricia A [0000-0002-9717-8459], Smith, Jennifer A [0000-0002-3575-5468], Wilson, James F [0000-0001-5751-9178], Hägg, Sara [0000-0002-2452-1500], Spector, Tim D [0000-0002-9795-0365], Plomin, Robert [0000-0002-0756-3629], Havdahl, Alexandra [0000-0002-9268-0423], Bartels, Meike [0000-0002-9667-7555], Oskarsson, Sven [0000-0001-8698-2866], Willer, Cristen J [0000-0001-5645-4966], Åsvold, Bjørn Olav [0000-0003-3837-2101], Koellinger, Philipp D [0000-0001-7413-0412], Kaprio, Jaakko [0000-0002-3716-2455], Walters, Robin G [0000-0002-9179-0321], Benjamin, Daniel J [0000-0002-2642-5416], Evans, David M [0000-0003-0663-4621], Davey Smith, George [0000-0002-1407-8314], Hayward, Caroline [0000-0002-9405-9550], Brumpton, Ben [0000-0002-3058-1059], Hemani, Gibran [0000-0003-0920-1055], Davies, Neil M [0000-0002-2460-0508], and Apollo - University of Cambridge Repository

Subjects
Multifactorial Inheritance, Phenotype, 631/208/205/2138, article, Humans, 631/208/457, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Genome-Wide Association Study
Abstract

Funder: Jacobs Foundation; doi: https://doi.org/10.13039/501100003986, Estimates from genome-wide association studies (GWAS) of unrelated individuals capture effects of inherited variation (direct effects), demography (population stratification, assortative mating) and relatives (indirect genetic effects). Family-based GWAS designs can control for demographic and indirect genetic effects, but large-scale family datasets have been lacking. We combined data from 178,086 siblings from 19 cohorts to generate population (between-family) and within-sibship (within-family) GWAS estimates for 25 phenotypes. Within-sibship GWAS estimates were smaller than population estimates for height, educational attainment, age at first birth, number of children, cognitive ability, depressive symptoms and smoking. Some differences were observed in downstream SNP heritability, genetic correlations and Mendelian randomization analyses. For example, the within-sibship genetic correlation between educational attainment and body mass index attenuated towards zero. In contrast, analyses of most molecular phenotypes (for example, low-density lipoprotein-cholesterol) were generally consistent. We also found within-sibship evidence of polygenic adaptation on taller height. Here, we illustrate the importance of family-based GWAS data for phenotypes influenced by demographic and indirect genetic effects.

Published
2022
Full Text
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2. Trans-ethnic Mendelian-randomization study reveals causal relationships between cardiometabolic factors and chronic kidney disease

Author

Hong Zhang, Humaira Rasheed, Yukinori Okada, Iona Y Millwood, Zhengming Chen, Tom R. Gaunt, George Davey Smith, Yoichiro Kamatani, Venexia M Walker, Philip C Haycock, Andrew P. Morris, Jie Zheng, Cristian Pattaro, Robyn E Wootton, Yuka Sugawara, Amy E Howell, Masato Akiyama, Koichi Matsuda, Sean J. Barbour, Nora Franceschini, Masahiro Kanai, Matthias Wuttke, Si Fang, Masayuki Yamamoto, Jiachen Li, Naoki Kashihara, Ben Michael Brumpton, Laurent F. Thomas, Maria Carolina Borges, Rebecca Carnegie, Jamie Robinson, Yue-miao Zhang, Stein Hallan, Canqing Yu, Benjamin Elsworth, Stephen Burgess, Yue Leng, Kristian Hveem, Robin G Walters, Yoonsu Cho, Anna Köttgen, Bjørn Olav Åsvold, Qian Yang, Zheng, Jie [0000-0002-6623-6839], Walker, Venexia [0000-0001-5064-446X], Elsworth, Benjamin [0000-0001-7328-4233], Wootton, Robyn E [0000-0003-3961-3202], Yang, Qian [0000-0001-8778-4132], Davey Smith, George [0000-0002-1407-8314], Apollo - University of Cambridge Repository, and Burgess, Stephen [0000-0001-5365-8760]

Subjects
medicine.medical_specialty, causality, Apolipoprotein B, Epidemiology, Renal function, Type 2 diabetes, urologic and male genital diseases, Random Allocation, Internal medicine, Mendelian randomization, medicine, Humans, AcademicSubjects/MED00860, Renal Insufficiency, Chronic, biology, business.industry, trans-ethnic study, General Medicine, Mendelian Randomization Analysis, medicine.disease, Causality, cardiometabolic risk factors, female genital diseases and pregnancy complications, Blood pressure, Diabetes Mellitus, Type 2, Cardiovascular Diseases, biology.protein, business, Body mass index, chronic kidney disease, Genome-Wide Association Study, Kidney disease
Abstract

Funder: Government Department of Business, Funder: Energy and Industrial Strategy (BEIS), Funder: Vice-Chancellor Fellowship from the University of Bristol, Funder: Shanghai Thousand Talents Program, Funder: Academy of Medical Sciences (AMS) Springboard Award, Funder: BBSRC Innovation fellowship, Funder: NIHR Biomedical Research Centre at University Hospitals Bristol NHS Foundation Trust and the University of Bristol, BACKGROUND: This study was to systematically test whether previously reported risk factors for chronic kidney disease (CKD) are causally related to CKD in European and East Asian ancestries using Mendelian randomization. METHODS: A total of 45 risk factors with genetic data in European ancestry and 17 risk factors in East Asian participants were identified as exposures from PubMed. We defined the CKD by clinical diagnosis or by estimated glomerular filtration rate of 25 kg/m2. CONCLUSIONS: Eight cardiometabolic risk factors showed causal effects on CKD in Europeans and three of them showed causality in East Asians, providing insights into the design of future interventions to reduce the burden of CKD.

Published
2021

3. Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments

Author

Dylan S. Small, Jack Bowden, Jingshu Wang, Nan Zhang, George Davey Smith, Gibran Hemani, Qingyuan Zhao, Wang, Jingshu [0000-0002-1968-6888], Zhao, Qingyuan [0000-0001-9902-2768], Bowden, Jack [0000-0003-2628-3304], Hemani, Gibran [0000-0003-0920-1055], Davey Smith, George [0000-0002-1407-8314], Zhang, Nancy R [0000-0002-0880-5749], and Apollo - University of Cambridge Repository

Subjects
Cancer Research, Epidemiology, Genome-wide association study, QH426-470, Cardiovascular Medicine, Biochemistry, 0302 clinical medicine, Medical Conditions, Pleiotropy, Risk Factors, Medicine and Health Sciences, Genetics (clinical), 0303 health sciences, Cancer Risk Factors, Confounding, Mendelian Randomization Analysis, Genetic Pleiotropy, Genomics, C-Reactive Proteins, Phenotype, Causality, Oncology, Cardiovascular Diseases, Trait, Research Article, Cardiology, Computational biology, Biology, Genetic Predisposition, Polymorphism, Single Nucleotide, 03 medical and health sciences, Genetic variation, Mendelian randomization, Genetic predisposition, Genome-Wide Association Studies, Genetics, Humans, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Genetic association, 030304 developmental biology, Biology and Life Sciences, Computational Biology, Proteins, Human Genetics, Cardiovascular Disease Risk, Genome Analysis, Evolutionary biology, Causal inference, Medical Risk Factors, Genetics of Disease, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Over a decade of genome-wide association studies (GWAS) have led to the finding of extreme polygenicity of complex traits. The phenomenon that “all genes affect every complex trait” complicates Mendelian Randomization (MR) studies, where natural genetic variations are used as instruments to infer the causal effect of heritable risk factors. We reexamine the assumptions of existing MR methods and show how they need to be clarified to allow for pervasive horizontal pleiotropy and heterogeneous effect sizes. We propose a comprehensive framework GRAPPLE to analyze the causal effect of target risk factors with heterogeneous genetic instruments and identify possible pleiotropic patterns from data. By using GWAS summary statistics, GRAPPLE can efficiently use both strong and weak genetic instruments, detect the existence of multiple pleiotropic pathways, determine the causal direction and perform multivariable MR to adjust for confounding risk factors. With GRAPPLE, we analyze the effect of blood lipids, body mass index, and systolic blood pressure on 25 disease outcomes, gaining new information on their causal relationships and potential pleiotropic pathways involved., Author summary Mendelian randomization uses genetic variants related to a modifiable risk factor to obtain evidence regarding its causal influence on disease from observational studies. However, the highly polygenic nature of complex traits where almost all genes contribute to every complex trait challenges the reliability of the causal inference from these genetic variants. In this paper, we give a thorough reexamination of the assumptions that can be reasonably made for Mendelian randomization and propose a framework, GRAPPLE, to gain power by using both strongly and weakly associated SNPs and to identify confounding pleiotropic pathways from hidden risk factors. With GRAPPLE, we analyze the effect of blood lipids, body mass index, and systolic blood pressure on 25 diseases, gaining an improved understanding of these risk factors.

Published
2021

4. Genetic association study of childhood aggression across raters, instruments, and age

Author

Nicholas G. Martin, S. Alexandra Burt, Louise Arseneault, Fazil Aliev, Luke M. Evans, Hill F. Ip, Beate St Pourcain, Michel G. Nivard, William E. Copeland, Rebecca K. Vinding, Scott Gordon, Koen Bolhuis, Christian J. Hopfer, Gun Peggy Knudsen, Stefan Johansson, Avshalom Caspi, Richard Border, Chandra A. Reynolds, Pål R. Njølstad, Liisa Keltikangas-Järvinen, Dorret I. Boomsma, Klaus Bønnelykke, Teemu Palviainen, Marta Ribasés, Alina Rodriguez, Catharina A. Hartman, Ilkka Seppälä, Christel M. Middeldorp, Rosa Bosch, Jan Haavik, Gail M. Williams, Andrea G. Allegrini, Ruth Ks, John R. B. Perry, Hadi Zafarmand, Chang Jiang, Elizabeth J. Costello, Camiel M. van der Laan, Olli T. Raitakari, Miquel Casas, Isabell Brikell, William G. Iacono, Jaakko Kaprio, John K. Hewitt, Andrew C. Heath, Eero Vuoksimaa, Xiaoran Tong, Gemma Español, Erik A. Ehli, Richie Poulton, Gareth E. Davies, Albertine J. Oldehinkel, Hans Bisgaard, Naomi R. Wray, Ted Reichborn-Kjennerud, Robert Plomin, Michael C. Stallings, Qing Lu, Jackob M. Najman, Daniel E. Adkins, Yi Lu, Harold Snieder, Sally J. Wadsworth, Alexander Neumann, Alexandra Havdahl, Karen Sugden, Kelly L. Klump, Andrew Smolen, Henrik Larsson, Toos C. E. M. van Beijsterveldt, Kenneth Krauter, Tarunveer S. Ahluwalia, Tellervo Korhonen, Andrey A. Shabalin, Joachim Heinrich, Anke R. Hammerschlag, Shelby Marrington, Lærke Sass, Pamela A. F. Madden, Henning Tiemeier, Tanja Vrijkotte, Paul Lichtenstein, Terho Lehtimäki, Ville Karhunen, Cristina Sánchez-Mora, Robin P. Corley, Anna A. E. Vinkhuyzen, Richard J. Rose, Per Magnus, Sabrina Llop, Ilja M. Nolte, S.A. Brown, Christian Hakulinen, Anjali K. Henders, Marie Standl, Silvia Alemany, Gretchen R.B. Saunders, Jouke-Jan Hottenga, Eveline L. de Zeeuw, Meike Bartels, Elisabeth Thiering, José J. Morosoli, Fiona A. Hagenbeek, Laura Pulkki-Råback, Frank C. Verhulst, Martin A. Kennedy, Craig E. Pennell, Eva Krapohl, Kaili Rimfeld, Tetyana Zayats, Lucía Colodro-Conde, Judith B.M. Ensink, André G. Uitterlinden, Natalia Vilor-Tejedor, Felix R. Day, Jennifer R. Harris, George Davey Smith, Qi Chen, Sebastian Lundström, Marjo-Riitta Järvelin, Alyce M. Whipp, Katrina L. Grasby, L. John Horwood, John Pearson, Judy L. Silberg, Paula Rovira, Hermine H. Maes, Carol A. Wang, Roseann E. Peterson, Tamara L. Wall, Andrew J. O. Whitehouse, Maria-Jose Lopez-Espinosa, Najaf Amin, Jess Tyrrell, Danielle M. Dick, Sarah E. Medland, Allison L. Miller, Øyvind Helgeland, Josep Antoni Ramos Quiroga, Joseph M. Boden, Abdullah Mamun, James Scott, María Soler Artigas, Joseph A. Prinz, Lindon J. Eaves, Terrie E. Moffitt, Matt McGue, Jordi Sunyer, Joanna Martin, Tampere University, Clinical Medicine, Department of Clinical Chemistry, Apollo-University Of Cambridge Repository, Ip, Hill F [0000-0003-1991-5019], Sánchez-Mora, Cristina [0000-0003-4211-1107], Nolte, Ilja M [0000-0001-5047-4077], St Pourcain, Beate [0000-0002-4680-3517], Palviainen, Teemu [0000-0002-7847-8384], Colodro-Conde, Lucía [0000-0002-9004-364X], Gordon, Scott [0000-0001-7623-328X], Aliev, Fazil [0000-0001-8357-4699], Karhunen, Ville [0000-0001-6064-1588], Border, Richard [0000-0002-6293-2968], Ahluwalia, Tarunveer S [0000-0002-7464-3354], Day, Felix R [0000-0003-3789-7651], Hottenga, Jouke-Jan [0000-0002-5668-2368], Rimfeld, Kaili [0000-0001-5139-065X], Lu, Yi [0000-0001-9933-3654], Soler Artigas, María [0000-0002-3213-1107], Bosch, Rosa [0000-0002-7596-183X], Ramos Quiroga, Josep Antoni [0000-0003-1622-0350], Neumann, Alexander [0000-0001-6653-3203], Grasby, Katrina [0000-0001-8539-0228], Middeldorp, Christel [0000-0002-6218-0428], Evans, Luke M [0000-0002-7458-1720], Alemany, Silvia [0000-0002-7925-6767], Sass, Lærke [0000-0002-5217-7014], Ruth, Kate [0000-0003-4966-9170], Ehli, Erik A [0000-0002-7865-3015], Hagenbeek, Fiona A [0000-0002-8773-0430], Snieder, Harold [0000-0003-1949-2298], Uitterlinden, André G [0000-0002-7276-3387], Haavik, Jan [0000-0001-7865-2808], Johansson, Stefan [0000-0002-2298-7008], Knudsen, Gun Peggy S [0000-0002-6193-4291], Njolstad, Pal Rasmus [0000-0003-0304-6728], Rodriguez, Alina [0000-0003-1209-8802], Brown, Sandy [0000-0001-8780-0323], Miller, Allison [0000-0003-3816-2251], Keltikangas-Järvinen, Liisa [0000-0002-7977-3852], Havdahl, Alexandra [0000-0002-9268-0423], Perry, John RB [0000-0001-6483-3771], Lehtimäki, Terho [0000-0002-2555-4427], Arseneault, Louise [0000-0002-2938-2191], Boden, Joseph [0000-0003-1502-1608], Pearson, John [0000-0001-5607-4517], Kennedy, Martin [0000-0002-6445-8526], Poulton, Richie [0000-0002-1052-4583], Copeland, William E [0000-0002-1348-7781], Wray, Naomi [0000-0001-7421-3357], Järvelin, Marjo-Riitta [0000-0002-2149-0630], McGue, Matt [0000-0002-5580-1433], Pennell, Craig E [0000-0002-0937-6165], Dick, Danielle M [0000-0002-1636-893X], Martin, Nicholas G [0000-0003-4069-8020], Medland, Sarah E [0000-0003-1382-380X], Kaprio, Jaakko [0000-0002-3716-2455], Tiemeier, Henning [0000-0002-4395-1397], Davey Smith, George [0000-0002-1407-8314], Oldehinkel, Albertine J [0000-0003-3925-3913], Ribasés, Marta [0000-0003-1039-1116], Lichtenstein, Paul [0000-0003-3037-5287], Plomin, Robert [0000-0002-0756-3629], Bartels, Meike [0000-0002-9667-7555], Nivard, Michel G [0000-0003-2015-1888], Boomsma, Dorret I [0000-0002-7099-7972], Apollo - University of Cambridge Repository, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Child and Adolescent Psychiatry / Psychology, Epidemiology, Internal Medicine, Institute for Molecular Medicine Finland, Genetic Epidemiology, Helsinki Institute of Life Science HiLIFE, University of Helsinki, Tellervo Korhonen / Principal Investigator, Cognitive and Brain Aging, Faculty Common Matters (Faculty of Medicine), Medicum, Doctoral Programme in Cognition, Learning, Instruction and Communication, Department of Psychology and Logopedics, Helsinki Inequality Initiative (INEQ), Faculty Common Matters (Faculty of Education), Psychosocial factors and health, Behavioural Sciences, Department of Public Health, Adult Psychiatry, Epidemiology and Data Science, APH - Aging & Later Life, APH - Methodology, ARD - Amsterdam Reproduction and Development, Graduate School, Child Psychiatry, ACS - Pulmonary hypertension & thrombosis, ANS - Cellular & Molecular Mechanisms, ANS - Compulsivity, Impulsivity & Attention, Public and occupational health, APH - Health Behaviors & Chronic Diseases, Institut Català de la Salut, [Ip HF] Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. [van der Laan CM] Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. Netherlands Institute for the Study of Crime and Law Enforcement, Amsterdam, The Netherlands. [Krapohl EML] Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK. [Brikell I] Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. [Sánchez-Mora C, Soler Artigas M, Rovira P, Ribasés M] Servei de Psiquiatria, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain. Unitat de Genètica Psiquiàtrica, Grup de Recerca en Psiquiatria, Salut Mental i Addicció, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain. [Nolte IM] Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. [Bosch R] Servei de Psiquiatria, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain. Servei de Psiquiatria i Medicina Legal, Universitat Autònoma de Barcelona, Bellaterra, Spain. [Español G] Servei de Psiquiatria, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Ramos Quiroga JA, Ribasés M] Servei de Psiquiatria, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain. Unitat de Genètica Psiquiàtrica, Grup de Recerca en Psiquiatria, Salut Mental i Addicció, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain. Servei de Psiquiatria i Medicina Legal, Universitat Autònoma de Barcelona, Bellaterra, Spain, Vall d'Hebron Barcelona Hospital Campus, Biological Psychology, APH - Personalized Medicine, APH - Mental Health, Amsterdam Reproduction & Development, Perry, John R B [0000-0001-6483-3771], Ip, Hill F. [0000-0003-1991-5019], Nolte, Ilja M. [0000-0001-5047-4077], Ahluwalia, Tarunveer S. [0000-0002-7464-3354], Day, Felix R. [0000-0003-3789-7651], Evans, Luke M. [0000-0002-7458-1720], Ehli, Erik A. [0000-0002-7865-3015], Hagenbeek, Fiona A. [0000-0002-8773-0430], Uitterlinden, André G. [0000-0002-7276-3387], Knudsen, Gun Peggy S. [0000-0002-6193-4291], Perry, John R. B. [0000-0001-6483-3771], Copeland, William E. [0000-0002-1348-7781], Pennell, Craig E. [0000-0002-0937-6165], Dick, Danielle M. [0000-0002-1636-893X], Martin, Nicholas G. [0000-0003-4069-8020], Medland, Sarah E. [0000-0003-1382-380X], Oldehinkel, Albertine J. [0000-0003-3925-3913], Nivard, Michel G. [0000-0003-2015-1888], and Boomsma, Dorret I. [0000-0002-7099-7972]

Subjects
0301 basic medicine, DISORDER, 45/43, Genome-wide association study, 3124 Neurology and psychiatry, 0302 clinical medicine, Child, Psychiatry, 0303 health sciences, trastornos mentales [PSIQUIATRÍA Y PSICOLOGÍA], HERITABILITY, Mental Disorders, Cognition, Genomics, Explained variation, Justice and Strong Institutions, Aggression, Psychiatry and Mental health, Meta-analysis, ADOLESCENCE, Child, Preschool, conducta y mecanismos de la conducta::conducta::síntomas conductuales::agresión [PSIQUIATRÍA Y PSICOLOGÍA], 631/208/212, Female, Biological psychiatry, medicine.symptom, Life Sciences & Biomedicine, Investigative Techniques::Genetic Techniques::Genetic Association Studies [ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT], BEHAVIOR, RC321-571, Childhood aggression, Clinical psychology, SDG 16 - Peace, Adolescent, Mental Disorders [PSYCHIATRY AND PSYCHOLOGY], Neurosciences. Biological psychiatry. Neuropsychiatry, Single-nucleotide polymorphism, Biology, 3121 Internal medicine, Malalties mentals - Aspectes genètics, Genetic correlation, Article, 1117 Public Health and Health Services, Cellular and Molecular Neuroscience, 03 medical and health sciences, 631/477/2811, SDG 3 - Good Health and Well-being, Human behaviour, medicine, SNP, Humans, GENOME-WIDE ASSOCIATION, Biological Psychiatry, Genetic Association Studies, 030304 developmental biology, Genetic association, Retrospective Studies, técnicas de investigación::técnicas genéticas::estudios de asociación genética [TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS], Science & Technology, SDG 16 - Peace, Justice and Strong Institutions, Infant, Behavior and Behavior Mechanisms::Behavior::Behavioral Symptoms::Aggression [PSYCHIATRY AND PSYCHOLOGY], 1103 Clinical Sciences, Agressivitat en els infants, Heritability, 030104 developmental biology, 1701 Psychology, ORIGINS, Research Programm of Donders Centre for Neuroscience, 3111 Biomedicine, TRAJECTORIES, 030217 neurology & neurosurgery, Demography, Genome-Wide Association Study
Abstract

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

Published
2021

5. Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: A multivariable Mendelian randomisation analysis

Author

Eleanor Sanderson, Brian A. Ference, Tom Palmer, Michael V. Holmes, Tom G. Richardson, George Davey Smith, Mika Ala-Korpela, Richardson, Tom G. [0000-0002-7918-2040], Sanderson, Eleanor [0000-0001-5188-5775], Palmer, Tom M. [0000-0003-4655-4511], Ala-Korpela, Mika [0000-0001-5905-1206], Davey Smith, George [0000-0002-1407-8314], Holmes, Michael V. [0000-0001-6617-0879], Apollo - University of Cambridge Repository, Richardson, Tom G [0000-0002-7918-2040], Palmer, Tom M [0000-0003-4655-4511], and Holmes, Michael V [0000-0001-6617-0879]

Subjects
Male, Apolipoprotein B, Genome-wide association study, Coronary Disease, 030204 cardiovascular system & hematology, Biochemistry, Vascular Medicine, chemistry.chemical_compound, 0302 clinical medicine, Risk Factors, Medicine and Health Sciences, Macromolecular Structure Analysis, Coronary Heart Disease, 030212 general & internal medicine, Lipid Analysis, biology, General Medicine, Genomics, Middle Aged, Lipids, 3. Good health, Cholesterol, Phenotype, Apolipoprotein B-100, symbols, Medicine, lipids (amino acids, peptides, and proteins), Female, Research Article, Adult, medicine.medical_specialty, Lipoproteins, Cardiology, Single-nucleotide polymorphism, Polymorphism, Single Nucleotide, Risk Assessment, Molecular Genetics, 03 medical and health sciences, symbols.namesake, Internal medicine, medicine, Genome-Wide Association Studies, Genetics, Humans, Genetic Predisposition to Disease, Molecular Biology, Triglycerides, Aged, Apolipoprotein A-I, business.industry, Cholesterol, HDL, Biology and Life Sciences, Proteins, Computational Biology, Human Genetics, Odds ratio, Cholesterol, LDL, Mendelian Randomization Analysis, Genome Analysis, Endocrinology, Apolipoproteins, chemistry, Multivariate Analysis, biology.protein, Etiology, Mendelian inheritance, business, Biomarkers, Lipoprotein, Genome-Wide Association Study
Abstract

Background Circulating lipoprotein lipids cause coronary heart disease (CHD). However, the precise way in which one or more lipoprotein lipid-related entities account for this relationship remains unclear. Using genetic instruments for lipoprotein lipid traits implemented through multivariable Mendelian randomisation (MR), we sought to compare their causal roles in the aetiology of CHD. Methods and findings We conducted a genome-wide association study (GWAS) of circulating non-fasted lipoprotein lipid traits in the UK Biobank (UKBB) for low-density lipoprotein (LDL) cholesterol, triglycerides, and apolipoprotein B to identify lipid-associated single nucleotide polymorphisms (SNPs). Using data from CARDIoGRAMplusC4D for CHD (consisting of 60,801 cases and 123,504 controls), we performed univariable and multivariable MR analyses. Similar GWAS and MR analyses were conducted for high-density lipoprotein (HDL) cholesterol and apolipoprotein A-I. The GWAS of lipids and apolipoproteins in the UKBB included between 393,193 and 441,016 individuals in whom the mean age was 56.9 y (range 39–73 y) and of whom 54.2% were women. The mean (standard deviation) lipid concentrations were LDL cholesterol 3.57 (0.87) mmol/L and HDL cholesterol 1.45 (0.38) mmol/L, and the median triglycerides was 1.50 (IQR = 1.11) mmol/L. The mean (standard deviation) values for apolipoproteins B and A-I were 1.03 (0.24) g/L and 1.54 (0.27) g/L, respectively. The GWAS identified multiple independent SNPs associated at P < 5 × 10−8 for LDL cholesterol (220), apolipoprotein B (n = 255), triglycerides (440), HDL cholesterol (534), and apolipoprotein A-I (440). Between 56%–93% of SNPs identified for each lipid trait had not been previously reported in large-scale GWASs. Almost half (46%) of these SNPs were associated at P < 5 × 10−8 with more than one lipid-related trait. Assessed individually using MR, LDL cholesterol (odds ratio [OR] 1.66 per 1-standard-deviation–higher trait; 95% CI: 1.49–1.86; P < 0.001), triglycerides (OR 1.34; 95% CI: 1.25–1.44; P < 0.001) and apolipoprotein B (OR 1.73; 95% CI: 1.56–1.91; P < 0.001) had effect estimates consistent with a higher risk of CHD. In multivariable MR, only apolipoprotein B (OR 1.92; 95% CI: 1.31–2.81; P < 0.001) retained a robust effect, with the estimate for LDL cholesterol (OR 0.85; 95% CI: 0.57–1.27; P = 0.44) reversing and that of triglycerides (OR 1.12; 95% CI: 1.02–1.23; P = 0.01) becoming weaker. Individual MR analyses showed a 1-standard-deviation–higher HDL cholesterol (OR 0.80; 95% CI: 0.75–0.86; P < 0.001) and apolipoprotein A-I (OR 0.83; 95% CI: 0.77–0.89; P < 0.001) to lower the risk of CHD, but these effect estimates attenuated substantially to the null on accounting for apolipoprotein B. A limitation is that, owing to the nature of lipoprotein metabolism, measures related to the composition of lipoprotein particles are highly correlated, creating a challenge in making exclusive interpretations on causation of individual components. Conclusions These findings suggest that apolipoprotein B is the predominant trait that accounts for the aetiological relationship of lipoprotein lipids with risk of CHD., Author summary Why was this study done? There is uncertainty regarding which lipid or apolipoprotein trait is the predominant atherogenic agent involved in the aetiology of lipids and coronary heart disease (CHD). The elucidation of such is important because not only does it clarify the aetiological understanding of the pathogenesis of CHD, it also hones the focus on the lipid- or apolipoprotein-related trait that should be the focus when developing lipid-modifying interventions. What did the researchers do and find? We used data on up to 441,016 participants from the UK Biobank to conduct genome-wide association analyses to find genetic variants reliably associated with lipoprotein lipid and apolipoprotein concentrations: this led to the identification of multiple independent genetic variants, each associated very robustly (at P < 5 × 10−8) with LDL cholesterol (220 genetic variants), apolipoprotein B (255 genetic variants), triglycerides (440 genetic variants), HDL cholesterol (534 genetic variants), and apolipoprotein A–I (440 genetic variants). Hundreds of these variants identified were novel, to our knowledge. When we explored the potential causal role of these lipids and apolipoproteins in isolation using Mendelian randomisation, we found evidence compatible with LDL cholesterol, triglycerides, and apolipoprotein B increasing the risk of CHD and HDL cholesterol and apolipoproteins A-I lowering CHD risk. When we examined these lipids and apolipoproteins together in multivariable Mendelian randomisation, we found that only apolipoprotein B retained a robust relationship with the risk of CHD—the effect estimates for all other entities were either substantially attenuated to the null or reversed in direction. What do these findings mean? The analytical approach in this study implemented through multivariable Mendelian randomisation simultaneously accounts for genetic associations with lipids and apolipoproteins and should therefore provide more reliable insights into what is the underlying driver of CHD. These findings support that, amongst the repertoire of lipoprotein lipids and apolipoproteins that we investigated, apolipoprotein B has a fundamental role in the aetiology of CHD.

Published
2020

6. Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals

Author

Tom Palmer, Lars Lind, George Davey Smith, Ting Qi, Michael W. Nagle, Paul W. Franks, Bram P. Prins, Julie Lee, Jingyuan Fu, Niclas Eriksson, Peter K. Joshi, Chris Haley, Ljubica Perisic Matic, Jeremy D. Gale, Mika Ala-Korpela, Michael V. Holmes, Urmo Võsa, Adam S. Butterworth, Eric B. Fauman, Anette Kalnapenkis, Reedik Mägi, Åsa Johansson, James F. Wilson, Mikael Landén, Gunnar Engström, Johan Ärnlöv, Anders Hamsten, Ozren Polasek, Andres Ingason, Andrew J. Schork, Agneta Siegbahn, Lasse Folkersen, Qin Wang, Andrew P. Morris, Johan Sundström, Daria V. Zhernakova, Olle Melander, Erik Ingelsson, Federico De Masi, Lude Franke, James E. Peters, Alexandra Zhernakova, Seung Hoan Choi, Rasmus Wernersson, Thibaud Boutin, Karl Michaëlsson, Stefan Gustafsson, Bianca E. Suur, Karen Page, Yang Wu, Caroline Hayward, Marketa Sjögren, Cecilia M. Lindgren, Stefan Enroth, Tõnu Esko, Amira Quazi, John Danesh, Anders Mälarstig, Daniel Hvidberg Hansen, Åsa K Hedman, Jan Nilsson, Ulf Gyllensten, Vilmantas Giedraitis, J. Gustav Smith, Martin Magnusson, Marju Orho-Melander, Steven A. Lubitz, Erin Macdonald-Dunlop, Thomas Werge, Praveen Surendran, Yan Chen, Céline Fernandez, Weidong Zhang, Lars Wallentin, Andrew D. Bretherick, Jian Yang, Peter M. Nilsson, Jesper R. Gådin, Annique Claringbould, Sölve Elmståhl, Sarah E Bergen, Harm-Jan Westra, Erik Pålsson, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Translational Immunology Groningen (TRIGR), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), United Kingdom Research and Innovation, Folkersen, Lasse [0000-0003-0708-9530], Hansen, Daniel Hvidberg [0000-0003-3285-605X], Wu, Yang [0000-0002-0128-7280], Eriksson, Niclas [0000-0002-2152-4343], Bretherick, Andrew D [0000-0001-9258-3140], Enroth, Stefan [0000-0002-5056-9137], Lee, Julie [0000-0001-6090-6718], Ala-Korpela, Mika [0000-0001-5905-1206], Claringbould, Annique [0000-0002-9201-6557], Davey Smith, George [0000-0002-1407-8314], Fauman, Eric [0000-0002-9739-0249], Fernandez, Celine [0000-0003-1290-4982], Franke, Lude [0000-0002-5159-8802], Franks, Paul W [0000-0002-0520-7604], Giedraitis, Vilmantas [0000-0003-3423-2021], Haley, Chris [0000-0002-9811-0210], Johansson, Åsa [0000-0002-2915-4498], Lubitz, Steven [0000-0002-9599-4866], Palmer, Tom [0000-0003-4655-4511], Macdonald-Dunlop, Erin [0000-0001-6569-6086], Magnusson, Martin [0000-0003-1710-5936], Michaelsson, Karl [0000-0003-2815-1217], Nagle, Michael W [0000-0002-4677-7582], Nilsson, Peter M [0000-0002-5652-8459], Nilsson, Jan [0000-0002-9752-7479], Prins, Bram [0000-0001-5774-034X], Sundström, Johan [0000-0003-2247-8454], Werge, Thomas [0000-0003-1829-0766], Westra, Harm-Jan [0000-0001-7038-567X], Fu, Jingyuan [0000-0001-5578-1236], Esko, Tõnu [0000-0003-1982-6569], Hayward, Caroline [0000-0002-9405-9550], Landen, Mikael [0000-0002-4496-6451], Butterworth, Adam S [0000-0002-6915-9015], Holmes, Michael V [0000-0001-6617-0879], Ingelsson, Erik [0000-0003-2256-6972], Mälarstig, Anders [0000-0003-2608-1358], Apollo - University of Cambridge Repository, and 30387078 - Magnusson, P. Martin

Subjects
Proteomics, Proteome, Endocrinology, Diabetes and Metabolism, Asthma, ATP Binding Cassette Transporter 1, Cardiovascular System, Chromosome Mapping, Drug Delivery Systems, Gene Knockdown Techniques, Genome-Wide Association Study, Genomics, Humans, Inflammatory Bowel Diseases, Interleukin-1 Receptor-Like 1 Protein, Intracellular Signaling Peptides and Proteins, Linkage Disequilibrium, Mendelian Randomization Analysis, Protein-Serine-Threonine Kinases, Quantitative Trait Loci, Receptors, CCR2, Receptors, CCR5, Genome-wide association study, 030204 cardiovascular system & hematology, Chemokine receptor, 0302 clinical medicine, RECEPTOR ANTAGONIST, GWAS, Cardiac and Cardiovascular Systems, 0303 health sciences, Molecular medicine, 3. Good health, Medical genetics, Medical Genetics, Life Sciences & Biomedicine, medicine.medical_specialty, Computational biology, Biology, Protein Serine-Threonine Kinases, Article, 03 medical and health sciences, Endocrinology & Metabolism, Physiology (medical), Mendelian randomization, Internal Medicine, medicine, 030304 developmental biology, Science & Technology, Cell Biology, GENE, ANTIBODY
Abstract

Circulating proteins are vital in human health and disease and are frequently used as biomarkers for clinical decision-making or as targets for pharmacological intervention. Here, we map and replicate protein quantitative trait loci (pQTL) for 90 cardiovascular proteins in over 30,000 individuals, resulting in 451 pQTLs for 85 proteins. For each protein, we further perform pathway mapping to obtain trans-pQTL gene and regulatory designations. We substantiate these regulatory findings with orthogonal evidence for trans-pQTLs using mouse knockdown experiments (ABCA1 and TRIB1) and clinical trial results (chemokine receptors CCR2 and CCR5), with consistent regulation. Finally, we evaluate known drug targets, and suggest new target candidates or repositioning opportunities using Mendelian randomization. This identifies 11 proteins with causal evidence of involvement in human disease that have not previously been targeted, including EGF, IL-16, PAPPA, SPON1, F3, ADM, CASP-8, CHI3L1, CXCL16, GDF15 and MMP-12. Taken together, these findings demonstrate the utility of large-scale mapping of the genetics of the proteome and provide a resource for future precision studies of circulating proteins in human health.

Published
2020
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7. Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors

Author

David Torrents, Thorkild I. A. Sørensen, André G. Uitterlinden, Dorret I. Boomsma, Harry Campbell, Vasiliki Lagou, Joachim Heinrich, Anna Murray, Nicholas J. Timpson, George Dedoussis, Beverley M. Shields, Timo A. Lakka, Lawrence J. Beilin, Carmen J. Marsit, Katharina E. Schraut, Marie Standl, Torben Hansen, James F. Wilson, Jonas Bacelis, Allan Vaag, Louis J. Muglia, Wei Ang, Josep M. Mercader, Ruifang Li-Gao, Ying Wu, Jessica Tyrrell, Pål R. Njølstad, Mohammad Hadi Zafarmand, Marie-France Hivert, Ioanna Ntalla, Debbie A Lawlor, Martina Müller-Nurasyid, Alana Cavadino, Natalia Vilor-Tejedor, Andrew R. Wood, Zoltán Kutalik, Jodie N. Painter, Tanja G. M. Vrijkotte, Kyle J. Gaulton, Xavier Estivill, George Davey Smith, Christine Power, Andrew T. Hattersley, Berthold Hocher, Gibran Hemani, Sheila J. Barton, Aino-Maija Eloranta, Kathryn L. Lunetta, Kim F. Michaelsen, Frank Geller, Bjarke Feenstra, Carol A. Wang, Peter Vollenweider, Wieland Kiess, Anubha Mahajan, Elina Hyppönen, Elisabeth M. van Leeuwen, Felix R. Day, Natalie R. van Zuydam, Leda Chatzi, Bo L. Chawes, Antje Körner, Dennis O. Mook-Kanamori, Ken K. Ong, Joanne M. Murabito, David M. Hougaard, Jian'an Luan, Letizia Marullo, Catharina E. M. van Beijsterveldt, Yik Ying Teo, Andrew P. Morris, Sarah E. Medland, Juan Fernández-Tajes, Jouke-Jan Hottenga, Frits R. Rosendaal, Inga Prokopenko, Katja Pahkala, Struan F.A. Grant, Sylvain Sebert, Judith B. Borja, Camilla Schmidt Morgen, Charlotta Pisinger, Jia Chen, Øyvind Helgeland, Christian Theil Have, Vincent W. V. Jaddoe, Marjolein N. Kooijman, Mika Kähönen, Timothy M. Frayling, Diana L. Cousminer, Bo Jacobsson, Antoine H. C. van Kampen, Eco J. C. de Geus, Manolis Kogevinas, Rico Rueedi, Grant W. Montgomery, Raimo Joro, Craig E. Pennell, Jonathan P. Bradfield, Janine F. Felix, Ge Zhang, Loreto Santa-Marina, Kalliope Panoutsopoulou, John R. B. Perry, Jeff Murray, Albert Hofman, Terho Lehtimäki, John W. Holloway, Barbera D. C. van Schaik, Pedro Marques-Vidal, Ronny Myhre, Haja N. Kadarmideen, Robert A. Scott, Frank D. Mentch, Katherine S. Ruth, Hans Bisgaard, Marjo-Riitta Järvelin, Catherine Allard, Rachel M. Freathy, Julie A. Marsh, Mariona Bustamante, Elisabeth Thiering, Cæcilie Trier, Marcus A. Tuke, William L. Lowe, Elisabeth Widen, Caroline L Relton, Christoph Reichetzeder, Penelope A. Lind, M. Geoffrey Hayes, Charles Laurin, Tarunveer S. Ahluwalia, Meike Bartels, Mads Melbye, Claudia Langenberg, Ke Hao, Shouneng Peng, Nicholas J. Wareham, Susan M. Ring, Hamdi Mbarek, Mario Murcia, Jing Hua Zhao, Michael Nodzenski, Cornelia M. van Duijn, Hakon Hakonarson, Hanieh Yaghootkar, Po-Ru Loh, Linda S. Adair, Sílvia Bonàs-Guarch, Eleftheria Zeggini, Sarah Metrustry, Shikta Das, Gonneke Willemsen, Ana Espinosa, Lavinia Paternoster, Marc Vaudel, Theresia M. Schnurr, Michael Stumvoll, David M. Evans, Bridget A. Knight, Luigi Bouchard, Robin N Beaumont, Mustafa Atalay, Zhen Qiao, Denise M. Scholtens, Klaus Bønnelykke, Samuel E. Jones, Peter K. Joshi, Oluf Pedersen, Jin-Fang Chai, Fernando Rivadeneira, Leo-Pekka Lyytikäinen, Rebecca K. Vinding, Hazel Inskip, Sara M. Willems, Cilius Esmann Fonvig, Momoko Horikoshi, Ellen A. Nohr, Jani Heikkinen, Emil V. R. Appel, Niels Grarup, Michael N. Weedon, Rebecca C Richmond, Peter Kovacs, Jorma Viikari, Amanda J. Bennett, Jens-Christian Holm, Carolina Medina-Gomez, Nicole M. Warrington, Anke Tönjes, Jakob Stokholm, Hugoline G. de Haan, Seang-Mei Saw, Ville Huikari, N. William Rayner, Johan G. Eriksson, Niina Pitkänen, Allan Linneberg, Gunn-Helen Moen, Olli T. Raitakari, Martine Vrijheid, Neil Robertson, Stefan Johansson, Tim D. Spector, Friman Sánchez, Mark I. McCarthy, Harri Niinikoski, Karen L. Mohlke, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Methodology, Warrington, Nicole M, Beaumont, Robin N, Horikoshi, Momoko, Day, Felix R, Hypponen, E, Freathy, RM, EGG consortium, Medical and Clinical Psychology, University of Helsinki, Johan Eriksson / Principal Investigator, University of Helsinki, Institute for Molecular Medicine Finland, Warrington, Nicole M [0000-0003-4195-775X], Beaumont, Robin N [0000-0003-0750-8248], Day, Felix R [0000-0003-3789-7651], Helgeland, Øyvind [0000-0002-5612-2985], Laurin, Charles [0000-0003-2439-9004], Bacelis, Jonas [0000-0002-2450-732X], Feenstra, Bjarke [0000-0003-1478-649X], Mahajan, Anubha [0000-0001-5585-3420], Moen, Gunn-Helen [0000-0002-8768-0904], Schnurr, Theresia M [0000-0002-6573-4959], Grarup, Niels [0000-0001-5526-1070], Paternoster, Lavinia [0000-0003-2514-0889], Rueedi, Rico [0000-0002-6713-2214], Lyytikäinen, Leo-Pekka [0000-0002-7200-5455], Metrustry, Sarah [0000-0003-2028-7486], Wang, Carol A [0000-0002-4301-3974], Joshi, Peter K [0000-0002-6361-5059], Pitkänen, Niina [0000-0001-7383-4987], Richmond, Rebecca C [0000-0003-0574-5071], Inskip, Hazel M [0000-0001-8897-1749], Holloway, John W [0000-0001-9998-0464], Estivill, Xavier [0000-0002-0723-2256], Hocher, Berthold [0000-0001-8143-0579], Lunetta, Kathryn L [0000-0002-9268-810X], Allard, Catherine [0000-0002-8829-4984], Muglia, Louis J [0000-0002-0301-8770], van Kampen, Antoine HC [0000-0003-1025-7232], van Schaik, Barbera DC [0000-0002-5568-8127], Langenberg, Claudia [0000-0002-5017-7344], Hemani, Gibran [0000-0003-0920-1055], Gaulton, Kyle J [0000-0003-1318-7161], Medina-Gomez, Carolina [0000-0001-7999-5538], Kutalik, Zoltán [0000-0001-8285-7523], Marques-Vidal, Pedro [0000-0002-4548-8500], Mbarek, Hamdi [0000-0002-1108-0371], Müller-Nurasyid, Martina [0000-0003-3793-5910], Appel, Emil VR [0000-0001-7704-6611], Fonvig, Cilius E [0000-0002-5031-0125], Hougaard, David M [0000-0001-5928-3517], Mercader, Josep M [0000-0001-8494-3660], Linneberg, Allan [0000-0002-0994-0184], Lind, Penelope A [0000-0002-3887-2598], Medland, Sarah E [0000-0003-1382-380X], Bartels, Meike [0000-0002-9667-7555], Stokholm, Jakob [0000-0003-4989-9769], Chawes, Bo L [0000-0001-6846-6243], Kovacs, Peter [0000-0002-0290-5423], Prokopenko, Inga [0000-0003-1624-7457], Tuke, Marcus A [0000-0003-0008-9263], Ruth, Katherine S [0000-0003-4966-9170], Jones, Samuel E [0000-0003-0153-922X], Zeggini, Eleftheria [0000-0003-4238-659X], Wilson, James F [0000-0001-5751-9178], Vrijkotte, Tanja GM [0000-0003-3641-4048], de Geus, Eco JCN [0000-0001-6022-2666], Kadarmideen, Haja N [0000-0001-6294-382X], Mohlke, Karen L [0000-0001-6721-153X], Sørensen, Thorkild IA [0000-0003-4821-430X], Bisgaard, Hans [0000-0003-4131-7592], Bønnelykke, Klaus [0000-0003-2003-1018], Melbye, Mads [0000-0001-8264-6785], Rivadeneira, Fernando [0000-0001-9435-9441], Felix, Janine F [0000-0002-9801-5774], Jaddoe, Vincent WV [0000-0003-2939-0041], Hansen, Torben [0000-0001-8748-3831], Hyppönen, Elina [0000-0003-3670-9399], Davey Smith, George [0000-0002-1407-8314], Morris, Andrew P [0000-0002-6805-6014], Hakonarson, Hakon [0000-0003-2814-7461], Grant, Struan FA [0000-0003-2025-5302], Lawlor, Debbie A [0000-0002-6793-2262], Njølstad, Pål R [0000-0003-0304-6728], Ong, Ken K [0000-0003-4689-7530], McCarthy, Mark I [0000-0002-4393-0510], Evans, David M [0000-0003-0663-4621], Freathy, Rachel M [0000-0003-4152-2238], Apollo - University of Cambridge Repository, Department of Medical and Clinical Genetics, Institute for Molecular Medicine Finland, Neuroscience Center, Doctoral Programme Brain & Mind, Ecology and Evolutionary Biology, University of Helsinki, Research Groups, Department of General Practice and Primary Health Care, Research Programs Unit, Diabetes and Obesity Research Program, Johan Eriksson / Principal Investigator, Doctoral Programme in Clinical Research, Doctoral Programme in Oral Sciences, Doctoral Programme in Population Health, Centre of Excellence in Complex Disease Genetics, Elisabeth Ingrid Maria Widen / Principal Investigator, Genomic Discoveries and Clinical Translation, University Management, Epidemiology, Erasmus MC other, Internal Medicine, Pediatrics, Epidemiology and Data Science, APH - Global Health, APH - Aging & Later Life, ACS - Atherosclerosis & ischemic syndromes, ARD - Amsterdam Reproduction and Development, Experimental Immunology, Public and occupational health, and AGEM - Amsterdam Gastroenterology Endocrinology Metabolism

Subjects
Male, Netherlands Twin Register (NTR), LD SCORE REGRESSION, Birth Weight/genetics, Physiology, Genome-wide association study, BLOOD-PRESSURE, Blood Pressure, Type 2 diabetes, DISEASE, Fetal Development, 0302 clinical medicine, Models, Pregnancy, Risk Factors, Genotype, Birth Weight, maternal genetic, 030212 general & internal medicine, Maternal-Fetal Exchange, 0303 health sciences, Body Height/genetics, 1184 Genetics, developmental biology, physiology, Heart Diseases/etiology, Single Nucleotide, ASSOCIATION, Metabolic Diseases/etiology, 3. Good health, Type 2/etiology, MENDELIAN RANDOMIZATION, GROWTH, Female, Maternal Inheritance, Maternal Inheritance/genetics, Adult, Blood Pressure/genetics, Heart Diseases, Offspring, Birth weight, cardio-metabolic health outcomes, Biology, Diabetes Mellitus, Type 2/etiology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Genetic, Metabolic Diseases, SDG 3 - Good Health and Well-being, Diabetes mellitus, Mendelian randomization, Genetics, medicine, Diabetes Mellitus, Humans, Genetic Predisposition to Disease, Polymorphism, 030304 developmental biology, Glycemic, Fetus, IDENTIFICATION, Models, Genetic, Infant, Newborn, Infant, birth weight, DIABETES-MELLITUS, medicine.disease, Newborn, Fetal Development/genetics, Body Height, Maternal-Fetal Exchange/genetics, LIFE, Blood pressure, Diabetes Mellitus, Type 2, ORIGINS, Institut für Ernährungswissenschaft, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Birth weight (BW) variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. These associations have been proposed to reflect the lifelong consequences of an adverse intrauterine environment. In earlier work, we demonstrated that much of the negative correlation between BW and adult cardio-metabolic traits could instead be attributable to shared genetic effects. However, that work and other previous studies did not systematically distinguish the direct effects of an individual’s own genotype on BW and subsequent disease risk from indirect effects of their mother’s correlated genotype, mediated by the intrauterine environment. Here, we describe expanded genome-wide association analyses of own BW (n=321,223) and offspring BW (n=230,069 mothers), which identified 278 independent association signals influencing BW (214 novel). We used structural equation modelling to decompose the contributions of direct fetal and indirect maternal genetic influences on BW, implicating fetal- and maternal-specific mechanisms. We used Mendelian randomization to explore the causal relationships between factors influencing BW through fetal or maternal routes, for example, glycemic traits and blood pressure. Direct fetal genotype effects dominate the shared genetic contribution to the association between lower BW and higher type 2 diabetes risk, whereas the relationship between lower BW and higher later blood pressure (BP) is driven by a combination of indirect maternal and direct fetal genetic effects: indirect effects of maternal BP-raising genotypes act to reduce offspring BW, but only direct fetal genotype effects (once inherited) increase the offspring’s later BP. Instrumental variable analysis using maternal BW-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring BP. In successfully separating fetal from maternal genetic effects, this work represents an important advance in genetic studies of perinatal outcomes, and shows that the association between lower BW and higher adult BP is attributable to genetic effects, and not to intrauterine programming.

Published
2019

8. The influence of obesity-related factors in the etiology of renal cell carcinoma—A mendelian randomization study

Author

Elisabete Weiderpass, J. Brent Richards, Peter Selby, Emily White, Peng Li, Ghislaine Scelo, David C. Muller, Garnet L. Anderson, Nicholas J. Timpson, David Zaridze, Mattias Johansson, Poulami Barman, Laura E. Beane Freeman, Alexander S. Parker, Simone Benhamou, Mark P. Purdue, Ingrid Winship, Victoria L. Stevens, Wong-Ho Chow, Valerie Gaborieau, Neal D. Freedman, Jean-François Deleuze, Juhua Luo, Philip C Haycock, Kevin M. Brown, Todd L. Edwards, Jeanette E. Eckel-Passow, Tony Fletcher, Ulrike Peters, Anush Mukeriya, Christel Häggström, Fiona Bruinsma, Timothy Eisen, Richard J. Kahnoski, George Davey Smith, I-Min Lee, Laurie Burdette, Lisa Johnson, Hallie Carol, Alicja Wolk, Jolanta Lissowska, Zhaoming Wang, Stephen J. Chanock, Yuanqing Ye, Sabrina L. Noyes, Jan Lubinski, Marie Navratilova, Matthew L. Freedman, Xifeng Wu, Ivana Holcatova, Stella Koutros, Vladimir Janout, Richard S. Houlston, James D. McKay, Toni K. Choueiri, Anne Boland, Susanna C. Larsson, Rosamonde E. Banks, Gabriella Andreotti, Sanja Radojevic-Skodric, Egor Prokhortchouk, Eunyoung Cho, Stefan Rascu, Paul Brennan, Hélène Blanché, David Petillo, James Larkin, Konstantin G. Skryabin, Börje Ljungberg, Marc J. Gunter, Viorel Jinga, Howard D. Sesso, Matthieu Foll, Brian R. Lane, Peter Rudnai, Jean-Guillaume Garnier, J. Michael Gaziano, Geraldine Cancel-Tassin, Caroline L Relton, Julie E. Buring, Meredith Yeager, Raviprakash T. Sitaram, Kristian Hveem, Loren Lipworth, Olivier Cussenot, Bin Tean Teh, Robert Carreras-Torres, Peter E. Clark, Vladimir Bencko, Simona Ognjanovic, Mark Pomerantz, Stephanie J. Weinstein, Mitchell J. Machiela, G. Mark Lathrop, Dana Mates, Lenka Foretova, Gianluca Severi, Bradley C. Leibovich, Leandro M. Colli, Daniela Mariosa, Marc Henrion, Satu Männistö, Susan J. Jordan, Kathryn M. Wilson, Richard M. Martin, Eleonora Fabianova, Jonathan N. Hofmann, Lars J. Vatten, Susan M. Gapstur, Cezary Cybulski, Wen-Yi Huang, Douglas F. Easton, Lee E. Moore, Cancer Research UK, Carreras-Torres, Robert [0000-0002-2925-734X], Timpson, Nicolas J [0000-0002-7141-9189], Haycock, Philip C [0000-0001-5001-3350], Brown, Kevin M [0000-0002-8558-6711], Machiela, Mitchell J [0000-0001-6538-9705], Li, Peng [0000-0002-0682-9819], Radojevic-Skodric, Sanja [0000-0002-5395-8285], Holcatova, Ivana [0000-0002-1366-0337], Mates, Dana [0000-0002-6219-9807], Mukeriya, Anush [0000-0002-6847-9295], Fabianova, Eleonora [0000-0002-5519-8427], Jinga, Viorel [0000-0001-7632-5328], Cancel-Tassin, Geraldine [0000-0002-9583-6382], Cussenot, Olivier [0000-0002-9912-0533], Weiderpass, Elisabete [0000-0003-2237-0128], Bruinsma, Fiona [0000-0002-9356-2015], Jordan, Susan J [0000-0002-4566-1414], Severi, Gianluca [0000-0001-7157-419X], Winship, Ingrid [0000-0001-8535-6003], Fletcher, Tony [0000-0003-3385-200X], Larsson, Susanna C [0000-0003-0118-0341], Wolk, Alicja [0000-0001-7387-6845], Banks, Rosamonde E [0000-0002-0042-8715], Beane Freeman, Laura E [0000-0003-1294-4124], Weinstein, Stephanie [0000-0002-3834-1535], Edwards, Todd L [0000-0003-4318-6119], Gapstur, Susan M [0000-0002-1934-2110], Stevens, Victoria L [0000-0003-0259-4407], Carol, Hallie [0000-0001-8890-9785], Pomerantz, Mark M [0000-0003-4914-1157], Freedman, Neal D [0000-0003-0074-1098], Huang, Wen-Yi [0000-0002-4440-3368], Petillo, David [0000-0001-7234-4644], Anderson, Garnet L [0000-0001-5087-7837], Moore, Lee E [0000-0002-5957-8283], Henrion, Marc [0000-0003-1242-839X], Barman, Poulami [0000-0002-4604-9868], Choueiri, Toni K [0000-0002-9201-3217], McKay, James D [0000-0002-1787-3874], Richards, J Brent [0000-0002-3746-9086], Martin, Richard M [0000-0002-7992-7719], Davey Smith, George [0000-0002-1407-8314], Brennan, Paul [0000-0002-0518-8714], and Apollo - University of Cambridge Repository

Subjects
Blood Glucose, Male, Physiology, Epidemiology, Blood Pressure, Genome-wide association study, 030204 cardiovascular system & hematology, urologic and male genital diseases, Bioinformatics, Biochemistry, Vascular Medicine, Body Mass Index, Endocrinology, Mathematical and Statistical Techniques, 0302 clinical medicine, Risk Factors, Renal cell carcinoma, Medicine and Health Sciences, Insulin, Medicine, 030212 general & internal medicine, 2. Zero hunger, Cancer Risk Factors, Statistics, Public Health, Global Health, Social Medicine and Epidemiology, Mendelian Randomization Analysis, Genomics, 11 Medical And Health Sciences, General Medicine, Lipids, Kidney Neoplasms, 3. Good health, Oncology, Physiological Parameters, Physical Sciences, Female, ICEP, Research Article, Genetic Markers, medicine.medical_specialty, Research and Analysis Methods, Instrumental Variable Analysis, Carcinomas, 03 medical and health sciences, General & Internal Medicine, Mendelian randomization, Genome-Wide Association Studies, Genetics, Carcinoma, Humans, VDP::Medisinske Fag: 700, Obesity, Statistical Methods, Carcinoma, Renal Cell, Diabetic Endocrinology, Cancer och onkologi, business.industry, Body Weight, Renal Cell Carcinoma, Cancers and Neoplasms, Biology and Life Sciences, Computational Biology, Cancer, Human Genetics, Genome Analysis, medicine.disease, Hormones, VDP::Medical disciplines: 700, Genitourinary Tract Tumors, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Diabetes Mellitus, Type 2, Medical Risk Factors, Cancer and Oncology, Etiology, business, Mathematics, Genome-Wide Association Study
Abstract

Background Several obesity-related factors have been associated with renal cell carcinoma (RCC), but it is unclear which individual factors directly influence risk. We addressed this question using genetic markers as proxies for putative risk factors and evaluated their relation to RCC risk in a mendelian randomization (MR) framework. This methodology limits bias due to confounding and is not affected by reverse causation. Methods and findings Genetic markers associated with obesity measures, blood pressure, lipids, type 2 diabetes, insulin, and glucose were initially identified as instrumental variables, and their association with RCC risk was subsequently evaluated in a genome-wide association study (GWAS) of 10,784 RCC patients and 20,406 control participants in a 2-sample MR framework. The effect on RCC risk was estimated by calculating odds ratios (ORSD) for a standard deviation (SD) increment in each risk factor. The MR analysis indicated that higher body mass index increases the risk of RCC (ORSD: 1.56, 95% confidence interval [CI] 1.44–1.70), with comparable results for waist-to-hip ratio (ORSD: 1.63, 95% CI 1.40–1.90) and body fat percentage (ORSD: 1.66, 95% CI 1.44–1.90). This analysis further indicated that higher fasting insulin (ORSD: 1.82, 95% CI 1.30–2.55) and diastolic blood pressure (DBP; ORSD: 1.28, 95% CI 1.11–1.47), but not systolic blood pressure (ORSD: 0.98, 95% CI 0.84–1.14), increase the risk for RCC. No association with RCC risk was seen for lipids, overall type 2 diabetes, or fasting glucose. Conclusions This study provides novel evidence for an etiological role of insulin in RCC, as well as confirmatory evidence that obesity and DBP influence RCC risk., Using mendelian randomization approaches, Paul Brennan and colleagues reveal an association between 12 obesity-related factors, including insulin and the development of renal cell carcinoma., Author summary Why was this study done? Traditional observational studies wherein putative risk factors are measured directly have found several obesity-related factors associated with increased risk of renal cell carcinoma (RCC). Traditional observational studies are subject to confounding and reverse causation and have not been able to disentangle which obesity-related risk factors directly influence RCC risk. This study used an alternative methodology commonly referred to as mendelian randomization (MR). MR circumvents many of the inherent limitations of traditional observational study by use of genetic proxies of putative risk factors when evaluating their associations with disease risk, as they are not subject to reverse causation and are less likely to be confounded by other risk factors. What did the researchers do and find? First, we used large-scale genome-wide association studies (GWAS) to identify genetic variants associated with obesity measures, blood pressure, lipids, type 2 diabetes, insulin, and glucose. Second, these genetic variants were used as proxies for the above-mentioned risk factors and evaluated in relation RCC risk using GWAS data from 10,000 RCC patients and 20,000 control participants. Based on these genetic data, we found that multiple measures of obesity, as well as diastolic blood pressure (DBP) and fasting insulin, are associated with RCC risk. In contrast, we found little evidence for an association with RCC risk for systolic blood pressure (SBP), circulating lipids, overall diabetes, or fasting glucose. What do these findings mean? This study provided robust and confirmatory evidence of an important role of obesity as an important risk factor of RCC. Further confirmatory evidence was found for elevated DBP as a risk factor of RCC, but it is not clear why DBP rather than SBP is important in RCC. The study, to our knowledge, provided novel evidence of an important role of circulating insulin in RCC etiology. This study provided some novel insights into the pathways involved in mediating the risk increase in RCC that is caused by obesity, most notably through insulin and DBP, but further research is needed to fully elucidate the important relationship between obesity and RCC.

Published
2019

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