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1. A transcriptome-based protein network that identifies new therapeutic targets in colorectal cancer

Author

Stéphanie Durand, Killian Trillet, Arnaud Uguen, Aude Saint-Pierre, Catherine Le Jossic-Corcos, and Laurent Corcos

Subjects
Colorectal cancer, Transcriptome, Protein network, Therapeutic target, Biotechnology, TP248.13-248.65, Genetics, QH426-470
Abstract

Abstract Background Colon cancer occurrence is increasing worldwide, making it the third most frequent cancer. Although many therapeutic options are available and quite efficient at the early stages, survival is strongly decreased when the disease has spread to other organs. The identification of molecular markers of colon cancer is likely to help understanding its course and, eventually, to uncover novel genes to be targeted by drugs. In this study, we compared gene expression in a set of 95 human colon cancer samples to that in 19 normal colon mucosae, focusing on 401 genes from 5 selected pathways (Apoptosis, Cancer, Cholesterol metabolism and lipoprotein signaling, Drug metabolism, Wnt/beta-catenin). Deregulation of mRNA levels largely matched that of proteins, leading us to build in silico protein networks, starting from mRNA levels, to identify key proteins central to network activity. Results Among the analyzed genes, 10.5% (42) had no reported link with colon cancer, including the SFRP1, IGF1 and ADH1B (down), and MYC and IL8 (up), whose encoded proteins were most interacting with other proteins from the same or even distinct networks. Analyzing all pathways globally led us to uncover novel functional links between a priori unrelated or rather remotely connected pathways, such as the Drug metabolism and the Cancer pathways or, even more strikingly, between the Cholesterol metabolism and lipoprotein signaling and the Cancer pathways. In addition, we analyzed the responsiveness of some of the deregulated genes essential to network activities, to chemotherapeutic agents used alone or in presence of Lovastatin, a lipid-lowering drug. Some of these treatments could oppose the deregulations occurring in cancer samples, including those of the CHECK2, CYP51A1, HMGCS1, ITGA2, NME1 or VEGFA genes. Conclusions Our network-based approach allowed discovering genes not previously known to play regulatory roles in colon cancer. Our results also showed that selected drug treatments might revert the cancer-specific deregulation of genes playing prominent roles within the networks operating to maintain colon homeostasis. Among those genes, some could constitute novel testable targets to eliminate colon cancer cells, either directly or, potentially, through the use of lipid-lowering drugs such as statins, in association with selected anticancer drugs.

Published
2017
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2. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

Author

Cristian Pattaro, Alexander Teumer, Mathias Gorski, Audrey Y. Chu, Man Li, Vladan Mijatovic, Maija Garnaas, Adrienne Tin, Rossella Sorice, Yong Li, Daniel Taliun, Matthias Olden, Meredith Foster, Qiong Yang, Ming-Huei Chen, Tune H. Pers, Andrew D. Johnson, Yi-An Ko, Christian Fuchsberger, Bamidele Tayo, Michael Nalls, Mary F. Feitosa, Aaron Isaacs, Abbas Dehghan, Pio d’Adamo, Adebowale Adeyemo, Aida Karina Dieffenbach, Alan B. Zonderman, Ilja M. Nolte, Peter J. van der Most, Alan F. Wright, Alan R. Shuldiner, Alanna C. Morrison, Albert Hofman, Albert V. Smith, Albert W. Dreisbach, Andre Franke, Andre G. Uitterlinden, Andres Metspalu, Anke Tonjes, Antonio Lupo, Antonietta Robino, Åsa Johansson, Ayse Demirkan, Barbara Kollerits, Barry I. Freedman, Belen Ponte, Ben A. Oostra, Bernhard Paulweber, Bernhard K. Krämer, Braxton D. Mitchell, Brendan M. Buckley, Carmen A. Peralta, Caroline Hayward, Catherine Helmer, Charles N. Rotimi, Christian M. Shaffer, Christian Müller, Cinzia Sala, Cornelia M. van Duijn, Aude Saint-Pierre, Daniel Ackermann, Daniel Shriner, Daniela Ruggiero, Daniela Toniolo, Yingchang Lu, Daniele Cusi, Darina Czamara, David Ellinghaus, David S. Siscovick, Douglas Ruderfer, Christian Gieger, Harald Grallert, Elena Rochtchina, Elizabeth J. Atkinson, Elizabeth G. Holliday, Eric Boerwinkle, Erika Salvi, Erwin P. Bottinger, Federico Murgia, Fernando Rivadeneira, Florian Ernst, Florian Kronenberg, Frank B. Hu, Gerjan J. Navis, Gary C. Curhan, George B. Ehret, Georg Homuth, Stefan Coassin, Gian-Andri Thun, Giorgio Pistis, Giovanni Gambaro, Giovanni Malerba, Grant W. Montgomery, Gudny Eiriksdottir, Gunnar Jacobs, Guo Li, H-Erich Wichmann, Harry Campbell, Helena Schmidt, Henri Wallaschofski, Henry Völzke, Hermann Brenner, Heyo K. Kroemer, Holly Kramer, Honghuang Lin, I. Mateo Leach, Ian Ford, Idris Guessous, Igor Rudan, Inga Prokopenko, Ingrid Borecki, Iris M. Heid, Ivana Kolcic, Ivana Persico, J. Wouter Jukema, James F. Wilson, Janine F. Felix, Jasmin Divers, Jean-Charles Lambert, Jeanette M. Stafford, Jean-Michel Gaspoz, Jennifer A. Smith, Jessica D. Faul, Jie Jin Wang, Jingzhong Ding, Joel N. Hirschhorn, John Attia, John B. Whitfield, John Chalmers, Jorma Viikari, Josef Coresh, Joshua C. Denny, Juha Karjalainen, Jyotika K. Fernandes, Karlhans Endlich, Katja Butterbach, Keith L. Keene, Kurt Lohman, Laura Portas, Lenore J. Launer, Leo-Pekka Lyytikäinen, Loic Yengo, Lude Franke, Luigi Ferrucci, Lynda M. Rose, Lyudmyla Kedenko, Madhumathi Rao, Maksim Struchalin, Marcus E. Kleber, Margherita Cavalieri, Margot Haun, Marilyn C. Cornelis, Marina Ciullo, Mario Pirastu, Mariza de Andrade, Mark A. McEvoy, Mark Woodward, Martin Adam, Massimiliano Cocca, Matthias Nauck, Medea Imboden, Melanie Waldenberger, Menno Pruijm, Marie Metzger, Michael Stumvoll, Michele K. Evans, Michele M. Sale, Mika Kähönen, Mladen Boban, Murielle Bochud, Myriam Rheinberger, Niek Verweij, Nabila Bouatia-Naji, Nicholas G. Martin, Nick Hastie, Nicole Probst-Hensch, Nicole Soranzo, Olivier Devuyst, Olli Raitakari, Omri Gottesman, Oscar H. Franco, Ozren Polasek, Paolo Gasparini, Patricia B. Munroe, Paul M. Ridker, Paul Mitchell, Paul Muntner, Christa Meisinger, Johannes H. Smit, ICBP Consortium, AGEN Consortium, CARDIOGRAM, CHARGe-Heart Failure Group, ECHOGen Consortium, Peter Kovacs, Philipp S. Wild, Philippe Froguel, Rainer Rettig, Reedik Mägi, Reiner Biffar, Reinhold Schmidt, Rita P. S. Middelberg, Robert J. Carroll, Brenda W. Penninx, Rodney J. Scott, Ronit Katz, Sanaz Sedaghat, Sarah H. Wild, Sharon L. R. Kardia, Sheila Ulivi, Shih-Jen Hwang, Stefan Enroth, Stefan Kloiber, Stella Trompet, Benedicte Stengel, Stephen J. Hancock, Stephen T. Turner, Sylvia E. Rosas, Sylvia Stracke, Tamara B. Harris, Tanja Zeller, Tatijana Zemunik, Terho Lehtimäki, Thomas Illig, Thor Aspelund, Tiit Nikopensius, Tonu Esko, Toshiko Tanaka, Ulf Gyllensten, Uwe Völker, Valur Emilsson, Veronique Vitart, Ville Aalto, Vilmundur Gudnason, Vincent Chouraki, Wei-Min Chen, Wilmar Igl, Winfried März, Wolfgang Koenig, Wolfgang Lieb, Ruth J. F. Loos, Yongmei Liu, Harold Snieder, Peter P. Pramstaller, Afshin Parsa, Jeffrey R. O’Connell, Katalin Susztak, Pavel Hamet, Johanne Tremblay, Ian H. de Boer, Carsten A. Böger, Wolfram Goessling, Daniel I. Chasman, Anna Köttgen, W. H. Linda Kao, and Caroline S. Fox

Subjects
Science
Abstract

Reduced glomerular filtration rate (eGFR) is a hallmark of chronic kidney disease. Here, Pattaro et al. conduct a meta-analysis to discover several new loci associated with variation in eGFR and find that genes associated with eGFR loci often encode proteins potentially related to kidney development.

Published
2016
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3. Buserelin alleviates chloride transport defect in human cystic fibrosis nasal epithelial cells.

Author

Marie-Laure Calvez, Nathalie Benz, Florentin Huguet, Aude Saint-Pierre, Elise Rouillé, Christelle Coraux, Claude Férec, Mathieu Kerbiriou, and Pascal Trouvé

Subjects
Medicine, Science
Abstract

Cystic fibrosis (CF) is the most common autosomal recessive disease in Caucasians caused by mutations in the gene encoding the Cystic Fibrosis Transmembrane conductance Regulator (CFTR) chloride (Cl-) channel regulated by protein kinases, phosphatases, divalent cations and by protein-protein interactions. Among protein-protein interactions, we previously showed that Annexin A5 (AnxA5) binds to CFTR and is involved in the channel localization within membranes and in its Cl- channel function. The deletion of phenylalanine at position 508 (F508del) is the most common mutation in CF which leads to an altered protein (F508del-CFTR) folding with a nascent protein retained within the ER and is quickly degraded. We previously showed that AnxA5 binds to F508del-CFTR and that its increased expression due to a Gonadoliberin (GnRH) augments Cl- efflux in cells expressing F508del-CFTR. The aim of the present work was to use the GnRH analog buserelin which is already used in medicine. Human nasal epithelial cells from controls and CF patients (F508del/F508del) were treated with buserelin and we show here that the treatment alleviates Cl- channel defects in CF cells. Using proteomics we highlighted some proteins explaining this result. Finally, we propose that buserelin is a potential new pharmaceutical compound that can be used in CF and that bronchus can be targeted since we show here that they express GnRH-R.

Published
2017
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4. Human genetic structure in Northwest France provides new insights into West European historical demography

Author

Isabel Alves, Joanna Giemza, Michael G. B. Blum, Carolina Bernhardsson, Stéphanie Chatel, Matilde Karakachoff, Aude Saint Pierre, Anthony F. Herzig, Robert Olaso, Martial Monteil, Véronique Gallien, Elodie Cabot, Emma Svensson, Delphine Bacq, Estelle Baron, Charlotte Berthelier, Céline Besse, Hélène Blanché, Ozvan Bocher, Anne Boland, Stéphanie Bonnaud, Eric Charpentier, Claire Dandine-Roulland, Claude Férec, Christine Fruchet, Simon Lecointe, Edith Le Floch, Thomas E. Ludwig, Gaëlle Marenne, Vincent Meyer, Elisabeth Quellery, Fernando Racimo, Karen Rouault, Florian Sandron, Jean-Jacques Schott, Lourdes Velo-Suarez, Jade Violleau, Eske Willerslev, Yves Coativy, Mael Jézéquel, Daniel Le Bris, Clément Nicolas, Yvan Pailler, Marcel Goldberg, Marie Zins, Hervé Le Marec, Mattias Jakobsson, Pierre Darlu, Emmanuelle Génin, Jean-François Deleuze, Richard Redon, and Christian Dina

Subjects
Science
Abstract

Abstract The demographical history of France remains largely understudied despite its central role toward understanding modern population structure across Western Europe. Here, by exploring publicly available Europe-wide genotype datasets together with the genomes of 3234 present-day and six newly sequenced medieval individuals from Northern France, we found extensive fine-scale population structure across Brittany and the downstream Loire basin and increased population differentiation between the northern and southern sides of the river Loire, associated with higher proportions of steppe vs. Neolithic-related ancestry. We also found increased allele sharing between individuals from Western Brittany and those associated with the Bell Beaker complex. Our results emphasise the need for investigating local populations to better understand the distribution of rare (putatively deleterious) variants across space and the importance of common genetic legacy in understanding the sharing of disease-related alleles between Brittany and people from western Britain and Ireland.

Published
2024
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5. Recreation user knowledge, support and engagement in French MPAs: Are there reverse side-effects of the French soft regulation and management approach?

Author

Nicolas Le Corre, Thierry Michot, Michael Hughes, Alix Cosquer, Aude Saint-Pierre, Ingrid Peuziat, Nicolas Bernard, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Fondation de France, LabexMer, Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN), Génétique, génomique fonctionnelle et biotechnologies (UMR 1078) (GGB), Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO)-Université de Brest (UBO)-EFS-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'Études et de Recherche en Sociologie (LABERS), Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois des Sciences de l'Homme et de la Société (IBSHS), Université de Brest (UBO), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut de Recherche pour le Développement (IRD [France-Sud])

Subjects
0106 biological sciences, Economics and Econometrics, User survey, User knowledge, 010604 marine biology & hydrobiology, Stakeholder engagement, [SHS.GEO]Humanities and Social Sciences/Geography, 04 agricultural and veterinary sciences, Management, Monitoring, Policy and Law, Aquatic Science, [SDE.ES]Environmental Sciences/Environmental and Society, 01 natural sciences, Factoring, [SHS.ENVIR]Humanities and Social Sciences/Environmental studies, 040102 fisheries, 0401 agriculture, forestry, and fisheries, Marine protected area, 14. Life underwater, Business, Approaches of management, Law, Environmental planning, Recreation, General Environmental Science, Diversity (business)
Abstract

International audience; Marine and coastal recreation represents a common and increasing range of activities in marine protected areas (MPA). Understanding and factoring in the views of recreational stakeholders is considered an important component of effective MPA management. The diversity of recreation users and history of management can present stakeholder engagement challenges. This paper presents the findings of a French MPA recreation user survey involving 1000 respondents across 7 recreation activity types regarding knowledge of MPAs, the perceived importance of MPAs to their recreation activity, and support for additional regulation and engagement associated with French MPAs. Respondents generally had little or no knowledge about the MPA existence and regulations in locations they accessed for recreation. A low perceived importance of MPAs as a place to recreate and low interest in engagement was also apparent. However, there was significant support for additional MPA regulation. The results demonstrate the complexity of engaging with recreation users in a country where MPAs are a relatively recent concept superimposed on well-established and historically settled human uses. It seems that soft regulation of French MPAs to avoid impinging on recreation access and public liberties is associated with an overall low awareness of MPAs. This situation questions the ability of managers to engage effectively with recreation stakeholders and indicates a need to make French MPA more visible and more understandable for users.

Published
2019
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6. Outdoor recreation in French Coastal and Marine Protected Areas. Exploring recreation experience preference as a way for building conservation support

Author

Thierry Michot, Alix Cosquer, Michael Hughes, Nicolas Le Corre, Ingrid Peuziat, Aude Saint-Pierre, Nicolas Bernard, Littoral, Environnement, Télédétection, Géomatique (LETG - Brest), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), INSERM, EFS, UMR 1078, GGB, Université de Brest, 29200 Brest, INSERM, School of Veterinary and Life Sciences [Murdoch], Murdoch University, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire d'Études et de Recherche en Sociologie (LABERS), Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois des Sciences de l'Homme et de la Société (IBSHS), Université de Brest (UBO), Géoarchitecture : Territoires, Urbanisation, Biodiversité, Environnement, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Brest (UBO), Fondation de France, Interdisciplinary Graduate School for the Blue planet, ANR-17-EURE-0015,ISBlue,Interdisciplinary Graduate School for the Blue planet(2017), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université de Brest (UBO)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Université de Nantes (UN)-Université de Brest (UBO)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Nantes (UN)-Université de Brest (UBO)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire Européen de la Mer (IUEM), and Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Scale (chemistry), 05 social sciences, Context (language use), [SHS.GEO]Humanities and Social Sciences/Geography, 010501 environmental sciences, 01 natural sciences, [SDE.ES]Environmental Sciences/Environmental and Society, Preference, Face-to-face, Geography, Tourism, Leisure and Hospitality Management, [SHS.ENVIR]Humanities and Social Sciences/Environmental studies, 0502 economics and business, Relevance (law), Marine protected area, Marketing, Protected area, Recreation, 050212 sport, leisure & tourism, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences
Abstract

Outdoor recreation research has long recognized the need to understand user motivations as an essential aspect of natural protected area management. The well-established Recreation Experience Preference scale provides a useful framework for understanding motivations but very few studies have applied the REP scale to coastal and marine protected areas (CMPA). Applying the REP scale in a coastal and marine context is of interest considering the different characteristics, constraints and management compared to terrestrial protected areas. This paper explores the motivational aspects of 1000 recreational users of French CMPAs. Past research indicates French CMPAs are characterized by a low public visibility and few perceived benefits as a place to recreate. An onsite, face to face questionnaire gathered recreational user motivation data subsequently analyzed using the REP scale domains. REP domains were characterized by four main domains: "Enjoy nature", "Escape personalsocial-pressures", "Achievement/stimulation" and "Physical fitness". A standardized clustering procedure was used to identify groups of respondents with similar patterns of REP response. It suggested partitioning the motivations into four segments: "Solitaries", "Antistress performers","Socialisers" and "Explorers". Based on these findings, authors discuss the relevance of the REP concept and its management implications as a way for building community support vital to achieving CMPA conservation goals.

Published
2021
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7. The genetic history of France

Author

Serge Hercberg, Emmanuelle Génin, Marinna Gaudin, Christophe Tzourio, Iain Mathieson, Matilde Karakachoff, Martial Monteil, Christian Dina, Isabel Alves, Aude Saint Pierre, Joanna Giemza, Pilar Galan, Jean-François Dartigues, Richard Redon, Philippe Amouyel, Génétique, génomique fonctionnelle et biotechnologies (UMR 1078) (GGB), Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO)-Université de Brest (UBO)-EFS-Institut National de la Santé et de la Recherche Médicale (INSERM), unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX), Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 (RID-AGE), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche en Archéologie, Archéosciences, Histoire (CReAAH), Université de Nantes (UN)-Le Mans Université (UM)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Ministère de la Culture (MC), Université de Nantes (UN), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Sorbonne Paris Nord-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Perelman School of Medicine, University of Pennsylvania [Philadelphia], Part of this work was supported by the French National Research Agency (FROGH: ANR-16-CE12–0033) and the European Union via the Marie Skłodowska-Curie actions (PRESTIGE-2017–4–0018)., We are most grateful to the Bioinformatics Core Facility of Nantes (BiRD, Biogenouest) for its technical support., ANR-16-CE12-0033,FROGH,Etude Génétique de la Population Française(2016), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Université de Nantes - UFR Histoire, Histoire de l'Art et Archéologie (UFR HHAA), Université de Nantes (UN)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-Ministère de la Culture (MC)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Le Mans Université (UM), Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université (HESAM)-HESAM Université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université (HESAM)-HESAM Université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement (Inserm U1167 - RID-AGE - Institut Pasteur), Le Mans Université (UM)-Université de Nantes - UFR Histoire, Histoire de l'Art et Archéologie (UFR HHAA), Université de Nantes (UN)-Université de Nantes (UN)-Université de Rennes 2 (UR2), Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Sorbonne Paris Nord, Coquet, Nicolas, Etude Génétique de la Population Française - - FROGH2016 - ANR-16-CE12-0033 - AAPG2016 - VALID, EFS-Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), Unité de recherche de l'institut du thorax (ITX-lab), Le Mans Université (UM)-Université de Rennes (UR)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Université de Nantes - UFR Histoire, Histoire de l'Art et Archéologie (UFR HHAA), Université de Nantes (UN)-Université de Nantes (UN)-Ministère de la Culture (MC), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Pennsylvania, Le Mans Université (UM)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Rennes 2 (UR2), and Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Ministère de la Culture (MC)-Nantes Université (NU)

Subjects
[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory, Demographic history, Population, Population structure, Population genetics, [SDV.GEN] Life Sciences [q-bio]/Genetics, SEPIA, Article, Gene flow, 03 medical and health sciences, Effective population size, Bronze Age, Genetics, education, HEALTHY, Genetics (clinical), 030304 developmental biology, 0303 health sciences, education.field_of_study, [SDV.GEN]Life Sciences [q-bio]/Genetics, [SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory, 030305 genetics & heredity, 16. Peace & justice, Geography, [SHS.HIST] Humanities and Social Sciences/History, Genetic structure, [SHS.HIST]Humanities and Social Sciences/History, Demography
Abstract

Erratum in : Correction: The genetic history of France. [Eur J Hum Genet. 2020]; International audience; The study of the genetic structure of different countries within Europe has provided significant insights into their demographic history and population structure. Although France occupies a particular location at the western part of Europe and at the crossroads of migration routes, few population genetic studies have been conducted so far with genome-wide data. In this study, we analyzed SNP-chip genetic data from 2184 individuals born in France who were enrolled in two independent population cohorts. Using FineSTRUCTURE, six different genetic clusters of individuals were found that were very consistent between the two cohorts. These clusters correspond closely to geographic, historical, and linguistic divisions of France, and contain different proportions of ancestry from Stone and Bronze Age populations. By modeling the relationship between genetics and geography using EEMS, we were able to detect gene flow barriers that are similar across the two cohorts and correspond to major rivers and mountain ranges. Estimations of effective population sizes also revealed very similar patterns in both cohorts with a rapid increase of effective population sizes over the last 150 generations similar to other European countries. A marked bottleneck is also consistently seen in the two datasets starting in the 14th century when the Black Death raged in Europe. In conclusion, by performing the first exhaustive study of the genetic structure of France, we fill a gap in genetic studies of Europe that will be useful to medical geneticists, historians, and archeologists.

Published
2020
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8. Eur J Hum Genet

Author

Marinna Gaudin, Pilar Galan, Matilde Karakachoff, Emmanuelle Génin, Philippe Amouyel, Serge Hercberg, Aude Saint Pierre, Christian Dina, Isabel Alves, Joanna Giemza, Jean-François Dartigues, Christophe Tzourio, Richard Redon, Martial Monteil, Iain Mathieson, Bordeaux population health (BPH), and Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
0303 health sciences, Correction, Biology, SEPIA, 03 medical and health sciences, 0302 clinical medicine, Evolutionary biology, Genetics, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Sepia, HEALTHY, 030217 neurology & neurosurgery, Genetics (clinical), 030304 developmental biology
Published
2020
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9. The Genetic History of France

Author

Philippe Amouyel, Christophe Tzourio, Isabel Alves, Martial Monteil, Richard Redon, Jean-François Dartigues, Mathilde Karakachoff, Aude Saint Pierre, Christian Dina, Joanna Giemza, Serge Hercberg, Pilar Galan, and Emmanuelle Génin

Subjects
education.field_of_study, Geography, geography.geographical_feature_category, Effective population size, Demographic history, Peninsula, Genetic structure, Population, Genetic data, education, Gene flow, Demography
Abstract

The study of the genetic structure of different countries within Europe has provided significant insights into their demographic history and their actual stratification. Although France occupies a particular location at the end of the European peninsula and at the crossroads of migration routes, few population genetic studies have been conducted so far with genome-wide data. In this study, we analyzed SNP-chip genetic data from 2 184 individuals born in France who were enrolled in two independent population cohorts. Using FineStructure, six different genetic clusters of individuals were found that were very consistent between the two cohorts. These clusters match extremely well the geography and overlap with historical and linguistic divisions of France. By modeling the relationship between genetics and geography using EEMS software, we were able to detect gene flow barriers that are similar in the two cohorts and corresponds to major French rivers or mountains. Estimations of effective population sizes using IBDNe program also revealed very similar patterns in both cohorts with a rapid increase of effective population sizes over the last 150 generations similar to what was observed in other European countries. A marked bottleneck is also consistently seen in the two datasets starting in the fourteenth century when the Black Death raged in Europe. In conclusion, by performing the first exhaustive study of the genetic structure of France, we fill a gap in the genetic studies in Europe that would be useful to medical geneticists but also historians and archeologists.

Published
2019
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10. Rare variant association testing for multicategory phenotype

Author

Aude Saint Pierre, Elisabeth Tournier-Lasserve, Emmanuelle Génin, Hervé Perdry, Gaëlle Marenne, Thomas Ludwig, Ozvan Bocher, and Stéphanie Guey

Subjects
Multifactorial Inheritance, Epidemiology, Context (language use), Computational biology, Biology, Logistic regression, Severity of Illness Index, Multicategory, 03 medical and health sciences, Humans, Computer Simulation, Genetic variability, Age of Onset, Genetic Association Studies, Genetics (clinical), 030304 developmental biology, Genetic association, Multinomial logistic regression, 0303 health sciences, Models, Genetic, Genetic heterogeneity, 030305 genetics & heredity, Genetic Variation, Prognosis, Cerebrovascular Disorders, Logistic Models, Phenotype, Case-Control Studies, Data Interpretation, Statistical, Moyamoya Disease, Type I and type II errors
Abstract

Genetic association studies have provided new insights into the genetic variability of human complex traits with a focus mainly on continuous or binary traits. Methods have been proposed to take into account disease heterogeneity between subgroups of patients when studying common variants but none was specifically designed for rare variants. Because rare variants are expected to have stronger effects and to be more heterogeneously distributed among cases than common ones, subgroup analyses might be particularly attractive in this context. To address this issue, we propose an extension of burden tests by using a multinomial regression model, which enables association tests between rare variants and multicategory phenotypes. We evaluated the type I error and the power of two burden tests, CAST and WSS, by simulating data under different scenarios. In the case of genetic heterogeneity between case subgroups, we showed an advantage of multinomial regression over logistic regression, which considers all the cases against the controls. We replicated these results on real data from Moyamoya disease where the burden tests performed better when cases were stratified according to age-of-onset. We implemented the functions for association tests in the R package "Ravages" available on Github.

Published
2019
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11. A transcriptome-based protein network that identifies new therapeutic targets in colorectal cancer

Author

Aude Saint-Pierre, Laurent Corcos, Killian Trillet, Catherine Le Jossic-Corcos, StĂŠphanie Durand, Arnaud Uguen, Bodescot, Myriam, Génétique, génomique fonctionnelle et biotechnologies (UMR 1078) (GGB), EFS-Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), Département de pathologie [CHRU Brest], Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), This work was supported by the INSERM (French National Institute of Health and Medical Research, BioIntelligence program), the University of Western Brittany in Brest (UBO) and the Ligue Régionale Contre le Cancer (Comité du Finistère)., Institut Brestois Santé Agro Matière (IBSAM), and Université de Brest (UBO)-Université de Brest (UBO)-EFS-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
0301 basic medicine, lcsh:QH426-470, Colorectal cancer, Therapeutic target, lcsh:Biotechnology, In silico, Biology, Bioinformatics, Proteomics, Transcriptome, 03 medical and health sciences, 0302 clinical medicine, Protein network, lcsh:TP248.13-248.65, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Genetics, medicine, Humans, Lovastatin, Molecular Targeted Therapy, Protein Interaction Maps, Gene Expression Profiling, Wnt signaling pathway, Cancer, medicine.disease, 3. Good health, lcsh:Genetics, 030104 developmental biology, 030220 oncology & carcinogenesis, Catenin, Cancer research, [SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], DNA microarray, Colorectal Neoplasms, HT29 Cells, Biotechnology, Research Article
Abstract

Background Colon cancer occurrence is increasing worldwide, making it the third most frequent cancer. Although many therapeutic options are available and quite efficient at the early stages, survival is strongly decreased when the disease has spread to other organs. The identification of molecular markers of colon cancer is likely to help understanding its course and, eventually, to uncover novel genes to be targeted by drugs. In this study, we compared gene expression in a set of 95 human colon cancer samples to that in 19 normal colon mucosae, focusing on 401 genes from 5 selected pathways (Apoptosis, Cancer, Cholesterol metabolism and lipoprotein signaling, Drug metabolism, Wnt/beta-catenin). Deregulation of mRNA levels largely matched that of proteins, leading us to build in silico protein networks, starting from mRNA levels, to identify key proteins central to network activity. Results Among the analyzed genes, 10.5% (42) had no reported link with colon cancer, including the SFRP1, IGF1 and ADH1B (down), and MYC and IL8 (up), whose encoded proteins were most interacting with other proteins from the same or even distinct networks. Analyzing all pathways globally led us to uncover novel functional links between a priori unrelated or rather remotely connected pathways, such as the Drug metabolism and the Cancer pathways or, even more strikingly, between the Cholesterol metabolism and lipoprotein signaling and the Cancer pathways. In addition, we analyzed the responsiveness of some of the deregulated genes essential to network activities, to chemotherapeutic agents used alone or in presence of Lovastatin, a lipid-lowering drug. Some of these treatments could oppose the deregulations occurring in cancer samples, including those of the CHECK2, CYP51A1, HMGCS1, ITGA2, NME1 or VEGFA genes. Conclusions Our network-based approach allowed discovering genes not previously known to play regulatory roles in colon cancer. Our results also showed that selected drug treatments might revert the cancer-specific deregulation of genes playing prominent roles within the networks operating to maintain colon homeostasis. Among those genes, some could constitute novel testable targets to eliminate colon cancer cells, either directly or, potentially, through the use of lipid-lowering drugs such as statins, in association with selected anticancer drugs. Electronic supplementary material The online version of this article (10.1186/s12864-017-4139-y) contains supplementary material, which is available to authorized users.

Published
2017
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12. Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets from Blood and the Kidney

Author

Peter Vollenweider, Christophe Tzourio, Stefan Enroth, Cinzia Sala, Mark J. Caulfield, Murielle Bochud, Peter P. Pramstaller, Ozren Polasek, Paul Elliott, Dennis O. Mook-Kanamori, Daniel I. Chasman, Christian Gieger, Harriëtte Riese, Rodney J. Scott, Cristina Menni, Anubha Mahajan, Elizabeth G. Holliday, Ilja M. Nolte, Priyanka Nandakumar, Tatijana Zemunik, Dragana Vuckovic, Tõnu Esko, Franco Giulianini, Michael Boehnke, Antonietta Robino, Anne U. Jackson, Roby Joehanes, Alanna C. Morrison, Kay-Tee Khaw, Alison Pattie, Peter J. van der Most, Mika Kähönen, Rick Jansen, Andrew D. Johnson, John M. Starr, Marcus Dörr, Anders Hamsten, Kenneth Rice, Alice Stanton, James F. Wilson, Nabi Shah, Weihua Zhang, Andrew A. Hicks, Jeffrey Damman, Jing Hua Zhao, Aarno Palotie, Veronique Vitart, Alan J. Gow, Caroline Hayward, Alan James, Ben A. Oostra, Janina S. Ried, John Beilby, David P. Strachan, Martin D. Tobin, Eco J. C. de Geus, Vilmundur Gudnason, Bruce M. Psaty, Zoltán Kutalik, Neil Poulter, Paul M. Ridker, Johan Sundström, Cornelia M. van Duijn, Eleftheria Zeggini, Christopher Oldmeadow, Borbala Mifsud, Giorgia Girotto, Aravinda Chakravarti, Jonathan Marten, Alexander Teumer, Joanne Knight, Robert A. Scott, Vilmantas Giedraitis, Paul F. O'Reilly, Marco Brumat, Brenda W.J.H. Penninx, Peter J. Munson, Olli T. Raitakari, Leo-Pekka Lyytikäinen, He Gao, Massimo Mangino, Benjamin Lehne, J. Wouter Jukema, Paul Knekt, Catharina A. Hartman, Rona J. Strawbridge, Jouke-Jan Hottenga, Jaspal S. Kooner, Nilesh J. Samani, Kristin L. Ayers, A. Mesut Erzurumluoglu, Joshua C. Bis, Archie Campbell, Dan E. Arking, Germaine C. Verwoert, John Attia, Samuli Ripatti, Yuri Milaneschi, Caterina Barbieri, Fabiola M. Del Greco, C M Lindgren, Peter K. Joshi, Helen R. Warren, Nicholas J. Wareham, Simon Thom, Seppo Koskinen, Tamara B. Harris, Ilaria Gandin, Kent D. Taylor, Andrew D. Morris, Anna Morgan, Chiara Batini, Terho Lehtimäki, Walter Palmas, David Conen, Harold Snieder, Martin H. de Borst, Sarah E. Harris, Igor Rudan, Ruth J. F. Loos, Claudia Langenberg, Anuj Goel, Christopher P. Nelson, Peter S. Braund, Rossella Sorice, Yasaman Saba, Oscar H. Franco, Yongmei Liu, Mattias Frånberg, David S. Siscovick, Patricia B. Munroe, Rainer Rettig, Michela Traglia, Daniel Levy, Li Lin, Michael R. Barnes, Elin Org, Anne-Claire Vergnaud, Andres Metspalu, Stéphanie Debette, Yusuf Demirkale, John M. C. Connell, Jian'an Luan, Paolo Gasparini, Tim D. Spector, Marina Ciullo, Antti-Pekka Sarin, Ian J. Deary, Teemu J. Niiranen, Marty Larson, Heather J. Cordell, Jerome I. Rotter, Sekar Kathiresan, Teresa Nutile, Andrew P. Morris, Denis C. Shields, Alan F. Wright, Lorna M. Lopez, Aki S. Havulinna, Gonçalo R. Abecasis, Edith Hofer, Siim Sõber, Sébastien Thériault, Ahmad Vaez, Albert Hofman, Gonneke Willemsen, Lynda M. Rose, John C. Chambers, Peter S. Sever, Maryam Abedi, André G. Uitterlinden, François Mach, Massimiliano Cocca, Sarah H Wild, Reinhold Schmidt, Jaume Marrugat, Marc A. Seelen, Maris Laan, Aude Saint Pierre, David C. Liewald, Pim van der Harst, Sandosh Padmanabhan, Martin Farrall, Georg Ehret, Albert V. Smith, Quang Tri Nguyen, Ulf Gyllensten, Helena Schmidt, Ganesh Chauhan, Jennifer E. Huffman, Morris A. Swertz, Jaakko Tuomilehto, Louise V. Wain, Meixia Ren, Erwin P. Bottinger, Roberto Elosua, Ivana Kolcic, Veikko Salomaa, Stella Trompet, Bernard Keavney, Claudia P. Cabrera, Bram P. Prins, Jennie Hui, Uwe Völker, Albertine J. Oldehinkel, Evangelos Evangelou, Pekka Jousilahti, Dorret I. Boomsma, Harry Campbell, Shih-Jen Hwang, Jie Yao, Francis S. Collins, Chrysovalanto Mamasoula, Kati Kristiansson, Markus Perola, Renée de Mutsert, Xiuqing Guo, Antti Jula, Daniela Toniolo, Ruifang Li-Gao, Åsa Johansson, Nick Shrine, Teresa Ferreira, Lars Lind, David J. Stott, Tineka Blake, Daniela Ruggiero, Mike A. Nalls, Erik Ingelsson, Colin N. A. Palmer, Christopher Newton-Cheh, Marjo-Riitta Järvelin, Guillaume Paré, Joris Deelen, Morris Brown, Gail Davies, Annette Peters, Ioanna Tzoulaki, Alex S. F. Doney, Najaf Amin, Lenore J. Launer, Hugh Watkins, Yingchang Lu, Wain, Lv, Vaez, A, Jansen, R, Joehanes, R, van der Most, Pj, Erzurumluoglu, Am, O'Reilly, Pf, Cabrera, Cp, Warren, Hr, Rose, Lm, Verwoert, Gc, Hottenga, Jj, Strawbridge, Rj, Esko, T, Arking, De, Hwang, Sj, Guo, X, Kutalik, Z, Trompet, S, Shrine, N, Teumer, A, Ried, J, Bis, Jc, Smith, Av, Amin, N, Nolte, Im, Lyytikäinen, Lp, Mahajan, A, Wareham, Nj, Hofer, E, Joshi, Pk, Kristiansson, K, Traglia, M, Havulinna, A, Goel, A, Nalls, Ma, Sõber, S, Vuckovic, Dragana, Luan, J, Del Greco, M. F, Ayers, Kl, Marrugat, J, Ruggiero, D, Lopez, Lm, Niiranen, T, Enroth, S, Jackson, Au, Nelson, Cp, Huffman, Je, Zhang, W, Marten, J, Gandin, I, Harris, Se, Zemunik, T, Lu, Y, Evangelou, E, Shah, N, de Borst, Mh, Mangino, M, Prins, Bp, Campbell, A, Li Gao, R, Chauhan, G, Oldmeadow, C, Abecasis, G, Abedi, M, Barbieri, Cm, Barnes, Mr, Batini, C, Beilby, J, Blake, T, Boehnke, M, Bottinger, Ep, Braund, P, Brown, M, Brumat, M, Campbell, H, Chambers, Jc, Cocca, M, Collins, F, Connell, J, Cordell, Hj, Damman, Jj, Davies, G, de Geus, Ej, de Mutsert, R, Deelen, J, Demirkale, Y, Doney, Asf, Dörr, M, Farrall, M, Ferreira, T, Frånberg, M, Gao, H, Giedraitis, V, Gieger, C, Giulianini, F, Gow, Aj, Hamsten, A, Harris, Tb, Hofman, A, Holliday, Eg, Hui, J, Jarvelin, Mr, Johansson, Å, Johnson, Ad, Jousilahti, P, Jula, A, Kähönen, M, Kathiresan, S, Khaw, Kt, Kolcic, I, Koskinen, S, Langenberg, C, Larson, M, Launer, Lj, Lehne, B, Liewald, Dcm, Lin, L, Lind, L, Mach, F, Mamasoula, C, Menni, C, Mifsud, B, Milaneschi, Y, Morgan, Anna, Morris, Ad, Morrison, Ac, Munson, Pj, Nandakumar, P, Nguyen, Qt, Nutile, T, Oldehinkel, Aj, Oostra, Ba, Org, E, Padmanabhan, S, Palotie, A, Paré, G, Pattie, A, Penninx, Bwjh, Poulter, N, Pramstaller, Pp, Raitakari, Ot, Ren, M, Rice, K, Ridker, Pm, Riese, H, Ripatti, S, Robino, A, Rotter, Ji, Rudan, I, Saba, Y, Saint Pierre, A, Sala, Cf, Sarin, Ap, Schmidt, R, Scott, R, Seelen, Ma, Shields, Dc, Siscovick, D, Sorice, R, Stanton, A, Stott, Dj, Sundström, J, Swertz, M, Taylor, Kd, Thom, S, Tzoulaki, I, Tzourio, C, Uitterlinden, Ag, Völker, U, Vollenweider, P, Wild, S, Willemsen, G, Wright, Af, Yao, J, Thériault, S, Conen, D, Attia, J, Sever, P, Debette, S, Mook Kanamori, Do, Zeggini, E, Spector, Td, van der Harst, P, Palmer, Cna, Vergnaud, Ac, Loos, Rjf, Polasek, O, Starr, Jm, Girotto, Giorgia, Hayward, C, Kooner, J, Lindgren, Cm, Vitart, V, Samani, Nj, Tuomilehto, J, Gyllensten, U, Knekt, P, Deary, Ij, Ciullo, M, Elosua, R, Keavney, Bd, Hicks, Aa, Scott, Ra, Gasparini, Paolo, Laan, M, Liu, Y, Watkins, H, Hartman, Ca, Salomaa, V, Toniolo, D, Perola, M, Wilson, Jf, Schmidt, H, Zhao, Jh, Lehtimäki, T, van Duijn, Cm, Gudnason, V, Psaty, Bm, Peters, A, Rettig, R, James, A, Jukema, Jw, Strachan, Dp, Palmas, W, Metspalu, A, Ingelsson, E, Boomsma, Di, Franco, Oh, Bochud, M, Newton Cheh, C, Munroe, Pb, Elliott, P, Chasman, Di, Chakravarti, A, Knight, J, Morris, Ap, Levy, D, Tobin, Md, Snieder, H, Caulfield, Mj, Ehret, G. b., Home Office, Medical Research Council (MRC), National Institute for Health Research, Imperial College Healthcare NHS Trust- BRC Funding, British Heart Foundation, Life Course Epidemiology (LCE), Groningen Kidney Center (GKC), Lifestyle Medicine (LM), Vascular Ageing Programme (VAP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Groningen Institute for Organ Transplantation (GIOT), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), Epidemiology, Gastroenterology & Hepatology, Clinical Genetics, Internal Medicine, Erasmus MC other, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Epidemiology and Data Science, Division 6, APH - Mental Health, APH - Digital Health, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and APH - Methodology

Subjects
0301 basic medicine, cardiovascular risk, Netherlands Twin Register (NTR), hypertension, NETHERLANDS, Sistema cardiovascular -- Malalties, GWAS, blood pressure, complex traits, eSNP, Locus (genetics), Genome-wide association study, Disease, Biology, PERIPHERAL-BLOOD, 1102 Cardiovascular Medicine And Haematology, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Genetic variation, Internal Medicine, Journal Article, Cardiac and Cardiovascular Systems, 1000 Genomes Project, Gene, CENTRIC ARRAY, METAANALYSIS, Genetics, ddc:616, Kardiologi, PULSE PRESSURE, COMMON VARIANTS, 1103 Clinical Sciences, ta3121, 3. Good health, INDIVIDUALS, 030104 developmental biology, Blood pressure, TARGET, Cardiovascular System & Hematology, complex trait, GWAS, blood pressure, cardiovascular risk, complex traits, eSNP, hypertension, Hipertensió, Imputation (genetics), TRAITS
Abstract

Elevated blood pressure is a major risk factor for cardiovascular disease and has a substantial genetic contribution. Genetic variation influencing blood pressure has the potential to identify new pharmacological targets for the treatment of hypertension. To discover additional novel blood pressure loci, we used 1000 Genomes Project–based imputation in 150 134 European ancestry individuals and sought significant evidence for independent replication in a further 228 245 individuals. We report 6 new signals of association in or near HSPB7 , TNXB , LRP12 , LOC283335 , SEPT9 , and AKT2 , and provide new replication evidence for a further 2 signals in EBF2 and NFKBIA . Combining large whole-blood gene expression resources totaling 12 607 individuals, we investigated all novel and previously reported signals and identified 48 genes with evidence for involvement in blood pressure regulation that are significant in multiple resources. Three novel kidney-specific signals were also detected. These robustly implicated genes may provide new leads for therapeutic innovation.

Published
2017
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13. Novel blood pressure locus and gene discovery using GWAS and expression datasets from blood and the kidney

Author

Ganesh Chauhan, Dragana Vuckovic, Yingchang Lu, Bernard Keavney, Patricia B. Munroe, Tim D. Spector, Tamara B. Harris, Chiara Batini, Harold Snieder, Yusuf Demirkale, Ulf Gyllensten, Heather J. Cordell, Christopher Newton-Cheh, Anne-Claire Vergnaud, Christophe Tzourio, Giorgia Girotto, Morris A. Swertz, John C. Chambers, Xiuqing Guo, Caterina Barbieri, Joris Deelen, Morris Brown, Igor Rudan, Christopher P. Nelson, Paul Knekt, Antti-Pekka Sarin, Peter Vollenweider, Lynda M. Rose, Ozren Polasek, Nilesh J. Samani, Murielle Bochud, James F. Wilson, Anna Morgan, Gail Davies, Ian J. Deary, Massimiliano Cocca, Antti Jula, Ioanna Tzoulaki, Jaspal S. Kooner, Sarah H Wild, Peter S. Braund, John M. Starr, Simon Thom, Christian Gieger, Rainer Rettig, John M. C. Connell, Marina Ciullo, Jian'an Luan, Rodney J. Scott, Franco Giulianini, Brenda W.J.H. Penninx, Mika Kähönen, Alison Pattie, Nabi Shah, Weihua Zhang, Ruth J. F. Loos, Maris Laan, Martin Farrall, Rick Jansen, Albert V. Smith, Sarah E. Harris, Alex S. F. Doney, Najaf Amin, Lenore J. Launer, Paul M. Ridker, John Attia, Alanna C. Morrison, Kay-Tee Khaw, Jaume Marrugat, Hugh Watkins, David C. Liewald, Pim van der Harst, Benjamin Lehne, Jennifer E. Huffman, Meixia Ren, Zoltán Kutalik, Lars Lind, Walter Palmas, Teresa Ferreira, David J. Stott, Janina S. Ried, Bruce M. Psaty, Paul F. O'Reilly, Massimo Mangino, Tõnu Esko, Jonathan Marten, Nick Shrine, Anders Hamsten, Tineka Blake, Yuri Milaneschi, Jing Hua Zhao, David Conen, Kristin L. Ayers, Germaine C. Verwoert, Veikko Salomaa, Olli T. Raitakari, Jaakko Tuomilehto, Louise V. Wain, Jennie Hui, Elin Org, Gonçalo R. Abecasis, Vilmundur Gudnason, Andrew A. Hicks, Rossella Sorice, Borbala Mifsud, Helen R. Warren, Jerome I. Rotter, Erwin P. Bottinger, Roberto Elosua, Antonietta Robino, Ilaria Gandin, Andres Metspalu, Marjo-Riitta Järvelin, Guillaume Paré, Anne U. Jackson, Jie Yao, Kent D. Taylor, Denis C. Shields, Andrew D. Morris, Daniela Ruggiero, Samuli Ripatti, C M Lindgren, Mike A. Nalls, Erik Ingelsson, Michela Traglia, Jeffrey Damman, J. Wouter Jukema, Catharina A. Hartman, Eco J. C. de Geus, Colin N. A. Palmer, Peter J. van der Most, Neil Poulter, Robert A. Scott, Anuj Goel, Aude Saint Pierre, Annette Peters, Paul Elliott, Daniel I. Chasman, Marco Brumat, Dennis O. Mook-Kanamori, Priyanka Nandakumar, Roby Joehanes, Cornelia M. van Duijn, Joshua C. Bis, Eleftheria Zeggini, Archie Campbell, Ivana Kolcic, Terho Lehtimäki, Mattias Frånberg, David S. Siscovick, Dan E. Arking, Shih-Jen Hwang, Stella Trompet, Christopher Oldmeadow, A. Mesut Erzurumluoglu, Nicholas J. Wareham, Alice Stanton, Chrysovalanto Mamasoula, Seppo Koskinen, Uwe Völker, Albertine J. Oldehinkel, Evangelos Evangelou, Pekka Jousilahti, Dorret I. Boomsma, Harry Campbell, Peter J. Munson, Aarno Palotie, Daniela Toniolo, He Gao, Ruifang Li-Gao, Claudia Langenberg, Kati Kristiansson, Åsa Johansson, Johan Sundström, Francis S. Collins, Alan J. Gow, Caroline Hayward, Markus Perola, Renée de Mutsert, Alan James, Ben A. Oostra, Alexander Teumer, Joanne Knight, Vilmantas Giedraitis, Marty Larson, Helena Schmidt, Sébastien Thériault, Peter S. Sever, Maryam Abedi, André G. Uitterlinden, Marc A. Seelen, Georg Ehret, Cristina Menni, Anubha Mahajan, Elizabeth G. Holliday, Ilja M. Nolte, Stéphanie Debette, Paolo Gasparini, Teemu J. Niiranen, Stefan Enroth, Mark J. Caulfield, Andrew P. Morris, Aki S. Havulinna, Cinzia Sala, Peter P. Pramstaller, Marcus Dörr, Quang Tri Nguyen, Claudia P. Cabrera, Bram P. Prins, Peter K. Joshi, Sekar Kathiresan, Lorna M. Lopez, Reinhold Schmidt, Sandosh Padmanabhan, Teresa Nutile, Gonneke Willemsen, François Mach, Michael Boehnke, John Beilby, Leo-Pekka Lyytikäinen, Alan F. Wright, Edith Hofer, Siim Sõber, Ahmad Vaez, Albert Hofman, Martin H. de Borst, Oscar H. Franco, Yongmei Liu, Tatijana Zemunik, Kenneth Rice, Veronique Vitart, Aravinda Chakravarti, Jouke-Jan Hottenga, Fabiola M. Del Greco, Yasaman Saba, Daniel Levy, Li Lin, Michael R. Barnes, Rona J. Strawbridge, Harriëtte Riese, Andrew D. Johnson, David P. Strachan, and Martin D. Tobin

Subjects
Genetics, 0303 health sciences, Genomics, Locus (genetics), Genome-wide association study, Biology, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Blood pressure, Genetic variation, 1000 Genomes Project, Gene, 030217 neurology & neurosurgery, Imputation (genetics), 030304 developmental biology
Abstract

Elevated blood pressure is a major risk factor for cardiovascular disease and has a substantial genetic contribution. Genetic variation influencing blood pressure has the potential to identify new pharmacological targets for the treatment of hypertension. To discover additional novel blood pressure loci, we used 1000 Genomes Project-based imputation in 150,134 European ancestry individuals and sought significant evidence for independent replication in a further 228,245 individuals. We report 6 new signals of association in or near HSPB7, TNXB, LRP12, LOC283335, SEPT9 and AKT2, and provide new replication evidence for a further 2 signals in EBF2 and NFKBIA. Combining large whole-blood gene expression resources totaling 12,607 individuals, we investigated all novel and previously reported signals and identified 48 genes with evidence for involvement in BP regulation that are significant in multiple resources. Three novel kidney-specific signals were also detected. These robustly implicated genes may provide new leads for therapeutic innovation.

Published
2017
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14. How important are rare variants in common disease?

Author

Emmanuelle Génin and Aude Saint Pierre

Subjects
Genotype, Models, Genetic, Genetic Variation, High-Throughput Nucleotide Sequencing, Population genetics, General Medicine, Computational biology, Biology, Biochemistry, DNA sequencing, Genetic architecture, Genetics, Humans, Disease, Genetic Predisposition to Disease, Mutation–selection balance, Allele, Molecular Biology, Genotyping, Exome, Genome-Wide Association Study, Genetic association
Abstract

Genome-wide association studies have uncovered hundreds of common genetic variants involved in complex diseases. However, for most complex diseases, these common genetic variants only marginally contribute to disease susceptibility. It is now argued that rare variants located in different genes could in fact play a more important role in disease susceptibility than common variants. These rare genetic variants were not captured by genome-wide association studies using single nucleotide polymorphism-chips but with the advent of next-generation sequencing technologies, they have become detectable. It is now possible to study their contribution to common disease by resequencing samples of cases and controls or by using new genotyping exome arrays that cover rare alleles. In this review, we address the question of the contribution of rare variants in common disease by taking the examples of different diseases for which some resequencing studies have already been performed, and by summarizing the results of simulation studies conducted so far to investigate the genetic architecture of complex traits in human. So far, empirical data have not allowed the exclusion of many models except the most extreme ones involving only a small number of rare variants with large effects contributing to complex disease. To unravel the genetic architecture of complex disease, case-control data will not be sufficient, and alternative study designs need to be proposed together with methodological developments.

Published
2014
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15. SNP-Based Linkage Analysis in Extended Pedigrees: Comparison between Two Alternative Approaches

Author

Aude Saint-Pierre, Peter P. Pramstaller, Yuri D’Elia, Marina Ciullo, and Cristian Pattaro

Subjects
Male, Genotype, Genetic Linkage, Quantitative Trait Loci, SNP, Pedigree chart, Bioinformatics, Polymorphism, Single Nucleotide, Genetic linkage, Statistics, Genetics, Humans, Computer Simulation, Genetics (clinical), Mathematics, Lod score, Linkage (software), Models, Genetic, Chromosome Mapping, Explained variation, Pedigree, Genetics, Population, Variance components, Female, Lod Score, Linkage analysis, Extended pedigrees, SNP array
Abstract

Background: Linkage analysis on extended pedigrees is often challenged by the high computational demand of exact identity-by-descent (IBD) matrix reconstruction. When such an analysis becomes not feasible, two alternative solutions are contrasted: a full pedigree analysis based on approximate IBD estimation versus a pedigree splitting followed by exact IBD estimation. A multiple splitting (MS) approach, which combines linkage results across different splitting configurations, has been proposed to increase the power of single-split solutions. Methods: To assess whether MS can achieve a comparable power to a full pedigree analysis, we compared the power of linkage on a very large pedigree in both simulated and real-case scenarios, using variance components linkage analysis of a dense SNP array. Results: Our results confirm that the power to detect linkage is affected by the pedigree size. The MS approach showed higher power than the single-split analysis, but it was substantially less powerful than the full pedigree approach in both scenarios, at any level of significance and variance explained by a quantitative trait locus. Conclusion: The MS approach should always be preferred to analyses based on a single split but, when adequate computational resources are available, a full pedigree analysis is better than the MS analysis. Rather than focusing on how to best split a pedigree, it might be more valuable to identify computational solutions that can make the IBD estimation of dense-marker maps practically feasible, thus allowing a full pedigree analysis. © 2014 S. Karger AG, Basel.

Published
2014
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16. Genome-Wide Linkage Screen of Bone Mineral Density (BMD) in European Pedigrees Ascertained through a Male Relative with Low BMD Values: Evidence for Quantitative Trait Loci on 17q21–23, 11q12–13, 13q12–14, and 22q11

Author

Jean-Marc Kaufman, Kaatje Toye, Anne Boland, Martine Cohen-Solal, Maria Martinez, Aude Saint-Pierre, Marie-Christine de Vernejoul, Agnès Ostertag, and Inge Van Pottelbergh

Subjects
Adult, Male, musculoskeletal diseases, medicine.medical_specialty, Linkage disequilibrium, Genetic Linkage, Chromosomes, Human, Pair 22, Endocrinology, Diabetes and Metabolism, Quantitative Trait Loci, Clinical Biochemistry, Osteoporosis, Context (language use), Lumbar vertebrae, Biochemistry, White People, Endocrinology, Bone Density, Internal medicine, Humans, Medicine, Family, Aged, Femoral neck, Aged, 80 and over, Bone mineral, Chromosomes, Human, Pair 13, Genome, Human, business.industry, Chromosomes, Human, Pair 11, Biochemistry (medical), Chromosome Mapping, Odds ratio, Middle Aged, medicine.disease, Pedigree, Surgery, medicine.anatomical_structure, business, Body mass index, Chromosomes, Human, Pair 17
Abstract

Bone mass is under strong genetic control, with heritability estimates greater than 50% and is likely determined by complex interactions between genetic and environmental factors.The objective of the study was to localize genes contributing to bone mineral density (BMD) variation.An autosomal genome-wide scan for BMD at the lumbar spine and femoral neck was conducted with variance components linkage methods.A total of 103 pedigrees (Network in Europe on Male Osteoporosis Family Study) ascertained through a male relative with low (Z-scoreor = -2) BMD values at either lumbar spine or femoral neck.Nonparametric multipoint logarithm of the odds ratio scores for lumbar spine and femoral neck BMD values adjusted for age, gender, and body mass index.We identified a total of eight chromosomal regions with logarithm of the odds ratio score of 1.5 or greater (Por = 5 x 10(-3)): on 1q42-43, 11q12-13, 12q23-24, 17q21-23, 21q22, and 22q11 for lumbar spine and on 5q31-33 and 13q12-14 for femoral neck BMD.Four of our detected quantitative trait loci (QTL) reached the genome-wide criteria for significant (17q,21-23, Por = 2 x 10(-5)) or suggestive (11q12-13, 22q11, and 13q12-14, Por = 7 x 10(-4)) linkage. Apart from 22q11, which is a novel QTL, all other loci provide consistent replication for previously reported QTLs for BMD and other bone-related traits. Finally, several of our specific-linkage areas encompass prominent candidate genes: type 1 collagen (COL1A1) and the sclerosteosis/van Buchem disease (SOST) genes on 17q21-23; the low-density lipoprotein receptor-related protein 5 (LRP5) gene on 11q12-13; and the rank ligand gene on 13q12-14. Further analysis of these positive regions by fine linkage disequilibrium mapping is thus warranted.

Published
2008
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17. Meta-analysis of genome-wide association studies identifies two loci associated with circulating osteoprotegerin levels

Author

Rebecca D. Jackson, Aaron K. Aragaki, Charles Kooperberg, Peter P. Pramstaller, Emelia J. Benjamin, Samuel K. Handelman, Joel Eriksson, Aude Saint-Pierre, Johnny S. H. Kwan, Yi-Hsiang Hsu, Daniel Taliun, Irene Pichler, Ching-Lung Cheung, Martin G. Larson, Claes Ohlsson, Pak C. Sham, Andrea Z. LaCroix, Douglas P. Kiel, Josée Dupuis, Annie W.C. Kung, KS Lau, Mattias Lorentzon, David Karasik, Andrew A. Hicks, and Liesbeth Vandenput

Subjects
Male, Genome-wide association study, single nucleotide polymorphism, homeostasis, genes, Genetics (clinical), Regulation of gene expression, Genetics, Genetics & Heredity, Medical And Health Sciences, Genome, Association Studies Articles, gene expression regulation, General Medicine, Biological Sciences, Female, biological markers, Human, musculoskeletal diseases, Asian Continental Ancestry Group, chromosomes, asian, medicine.medical_specialty, European Continental Ancestry Group, Single-nucleotide polymorphism, Locus (genetics), Biology, cell survival, Chromosomes, White People, Quantitative Trait, Quantitative Trait, Heritable, Genetic, Osteoprotegerin, Asian People, Internal medicine, neoplasmstumor necrosis factor receptor 11b, medicine, cancer, Humans, Polymorphism, Heritable, Molecular Biology, Gene, plasma, Genetic association, Chromosomes, Human, Pair 14, Polymorphism, Genetic, Genome, Human, Pair 17, Pair 14, Heritability, Endocrinology, Genetic Loci, atherosclerosis, Chromosomes, Human, Pair 17, Genome-Wide Association Study
Abstract

Osteoprotegerin (OPG) is involved in bone homeostasis and tumor cell survival. Circulating OPG levels are also important biomarkers of various clinical traits, such as cancers and atherosclerosis. OPG levels were measured in serum or in plasma. In a meta-analysis of genome-wide association studies in up to 10 336 individuals from European and Asian origin, we discovered that variants >100 kb upstream of the TNFRSF11B gene encoding OPG and another new locus on chromosome 17q11.2 were significantly associated with OPG variation. We also identified a suggestive locus on chromosome 14q21.2 associated with the trait. Moreover, we estimated that over half of the heritability of OPG levels could be explained by all variants examined in our study. Our findings provide further insight into the genetic regulation of circulating OPG levels., link_to_OA_fulltext

Published
2014
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18. Family-based studies to the rescue of genome-wide association studies in renal function

Author

Cristian Pattaro and Aude Saint-Pierre

Subjects
Linkage (software), Genetics, Male, education.field_of_study, Genetic Linkage, Population, Renal function, Genome-wide association study, Biology, Genetic analysis, Asian People, Genetic linkage, Nephrology, Genetic Loci, Humans, Female, Family based, education, Genome-Wide Association Study, Glomerular Filtration Rate
Abstract

Contrary to the apparent impossibility of replicating linkage results across studies on renal outcomes, and denying the general difficulty of identifying meaningful association signals under previously identified linkage peaks, a new study on an isolated Mongolian population could replicate two previously reported linkage peaks and corroborate them by significant associations at multiple single-nucleotide polymorphisms. Although the two genetic loci are not novel, the study sheds light on key aspects of the genetic analysis of kidney function in the general population.

Published
2013

19. Comparative study of statistical methods for detecting association with rare variants in exome-resequencing data

Author

Nora Bohossian, Aude Saint Pierre, Matthias Macé, Mohamad Saad, Maria Martinez, BMC, Ed., United Europeans for the Development of Pharmacogenomics in Multiple Sclerosis - UEPHA-MS - - EC:FP7:PEOPLE2008-09-15 - 2012-09-14 - 212877 - VALID, Centre de Physiopathologie Toulouse Purpan (CPTP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Fédérale Toulouse Midi-Pyrénées, The authors thank the French National Agency of Research (ANR-08-MNP-012). NB was funded by the European Community's Seventh FrameworkProgramme ([FP7/2007- 2013] under grant agreement n° 212877(UEPHA*MS))., European Project: 212877,EC:FP7:PEOPLE,FP7-PEOPLE-2007-1-1-ITN,UEPHA-MS(2008), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Université de Toulouse (UT)

Subjects
Computer science, Association (object-oriented programming), Common disease, lcsh:Medicine, Computational biology, Quantitative trait locus, computer.software_genre, Population stratification, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, lcsh:Science, Exome, 030304 developmental biology, Genetic association, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], 0303 health sciences, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], 030305 genetics & heredity, lcsh:R, General Medicine, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Minor allele frequency, Proceedings, lcsh:Q, Data mining, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], computer, Type I and type II errors
Abstract

International audience; Genome-wide association studies for complex traits are based on the common disease/common variant (CDCV) and common disease/rare variant (CDRV) assumptions. Under the CDCV hypothesis, classical genome-wide association studies using single-marker tests are powerful in detecting common susceptibility variants, but under the CDRV hypothesis they are not as powerful. Several methods have been recently proposed to detect association with multiple rare variants collectively in a functional unit such as a gene. In this paper, we compare the relative performance of several of these methods on the Genetic Analysis Workshop 17 data. We evaluate these methods using the unrelated individual and family data sets. Association was tested using 200 replicates for the quantitative trait Q1. Although in these data the power to detect association is often low, our results show that collapsing methods are promising tools. However, we faced the challenge of assessing the proper type I error to validate our power comparisons. We observed that the type I error rate was not well controlled; however, we did not find a general trend specific to each method. Each method can be conservative or nonconservative depending on the studied gene. Our results also suggest that collapsing and the single-locus association approaches may not be affected to the same extent by population stratification. This deserves further investigation.

Published
2012

20. Seventy-five genetic loci influencing the human red blood cell

Author

Teresa Nutile, Anna-Liisa Hartikainen, Stavroula Kanoni, Johannes H. Smit, Harm-Jan Westra, Beben Benyamin, Gonneke Willemsen, Clara S. Tang, Maria Dimitriou, Peter Vollenweider, Olle Melander, Inga Prokopenko, W.H. Wilson Tang, John P. Kemp, Tim D. Spector, Evelin Mihailov, Paul F. O'Reilly, Eleonora Porcu, Marcus E. Kleber, Sheila Ulivi, George Dedoussis, Manuela Uda, Matthias Nauck, Brenda W.J.H. Penninx, Daniela Ruggiero, Xinzhong Li, Dirk S. Paul, Niek Verweij, Bernd Genser, Harold Snieder, Willem H. Ouwehand, Ido P. Kema, Miriam F. Moffatt, Carmel Moore, Hilma Holm, Nicola Pirastu, Adamo Pio D'Adamo, Michael Stumvoll, Rossella Sorice, Kay-Tee Khaw, Heather Lloyd-Jones, Federico Murgia, Stephen F. Garner, Jing Hua Zhao, Laura Portas, Abdel Abdellaoui, Ursula Puc, Andres Metspalu, Marleen H. M. de Moor, Isleifur Olafsson, Ruth J. F. Loos, Andres Salumets, François Bastardot, James Scott, Jian Yang, Braxton D. Mitchell, Debora Parracciani, Maria Novatchkova, Panos Deloukas, William O.C.M. Cookson, Lorna M. Lopez, Andrew A. Hicks, Aude Saint-Pierre, Daniel F. Gudbjartsson, Vinicius Tragante, Mario Pirastu, Jacques S. Beckmann, L. Joost van Pelt, Winfried Maerz, Hooman Allayee, Jouke-Jan Hottenga, Kari Stefansson, Debashish Das, Weihua Zhang, Anke Tönjes, Michela Traglia, Stuart Meacham, Antonio Piga, Cornelis A. Albers, Nicholas G. Martin, John C. Chambers, Christa Meisinger, Leo-Pekka Lyytikäinen, Nicole Soranzo, Mika Kähönen, Katrin Voss, Micha Hersch, Claudia Langenberg, Sian Tsung Tan, Sandosh Padmanabhan, Christian X. Weichenberger, J. Gustav Smith, Antony P. Attwood, Claire E. Hastie, Gunnar Engström, Janina S. Ried, Carsten Oliver Schmidt, Pall T. Onundarson, Kathy Miller, Francisco S. Domingues, Stefania Bandinelli, Ulrich Elling, Augusto Rendon, Paul Elliott, Quince Gibson, Tõnu Esko, Robert Sladek, Marina Ciullo, Gerald Wirnsberger, Franco Anni, Antonietta Robino, Serena Sanna, Hein Schepers, Jonathan Stephens, Joban Sehmi, Beverley Balkau, Jennifer G. Sambrook, Lucia Perseu, Ilja M. Nolte, Herman H W Silljé, John M. Starr, Cinzia Sala, Peter P. Pramstaller, David M. Evans, Renzo Galanello, Uwe Völker, Philippe Froguel, Dorret I. Boomsma, Vasiliki Lagou, Gerjan Navis, Christian Gieger, Susan M. Ring, Alexander Teumer, Angela Döring, Ale Algra, Toshiko Tanaka, Bo Hedblad, Anneli Pouta, Unnur Thorsteinsdottir, Bernhard R. Winkelmann, Liming Liang, John Danesh, Paolo Gasparini, Sarah E. Medland, Ian J. Deary, Martin Gögele, Pim van der Harst, Giorgia Girotto, Josef M. Penninger, Jaspal S. Kooner, Patrick Sulem, Thomas Illig, Yasin Memari, Sarah E. Harris, Wiek H. van Gilst, Francesco Cucca, Dirk J. van Veldhuisen, So-Youn Shin, Giorgio Pistis, Olli T. Raitakari, Lude Franke, Folkert W. Asselbergs, Abtehale Al-Hussani, Stanley L. Hazen, Manuel A. R. Ferreira, Aimo Ruokonen, Christian Dina, Aparna Radhakrishnan, Irene Mateo Leach, Nicholas J. Wareham, George Davey Smith, Eric E. Schadt, Alan R. Shuldiner, John Whitfield, Gudmundur I. Eyjolfsson, Eco J. C. de Geus, Grant W. Montgomery, Afshin Parsa, Terho Lehtimäki, Paolo Fortina, Luigi Ferrucci, Andreas Greinacher, Marjo-Riitta Järvelin, Krista Fischer, Fabrice Danjou, Rudolf A. de Boer, Paul I.W. de Bakker, Peter M. Visscher, Anna F. Dominiczak, Ramiro Ramirez-Solis, Jennifer Jolley, Bruce H. R. Wolffenbuttel, Jaana Hartiala, Daniela Toniolo, Bernhard O. Boehm, van der Harst, P, Zhang, W, Mateo Leach, I, Rendon, A, Verweij, N, Sehmi, J, Paul, D, Elling, U, Allayee, H, Li, X, Radhakrishnan, A, Tan, St, Voss, K, Weichenberger, Cx, Albers, Ca, Al Hussani, A, Asselbergs, Fw, Ciullo, M, Danjou, F, Dina, C, Esko, T, Evans, Dm, Franke, L, Gögele, M, Hartiala, J, Hersch, M, Holm, H, Hottenga, Jj, Kanoni, S, Kleber, Me, Lagou, V, Langenberg, C, Lopez, Lm, Lyytikäinen, Lp, Melander, O, Murgia, F, Nolte, Im, O'Reilly, Pf, Padmanabhan, S, Parsa, A, Pirastu, Nicola, Porcu, E, Portas, L, Prokopenko, I, Ried, J, Shin, Sy, Tang, C, Teumer, A, Traglia, Michela, Ulivi, S, Westra, Hj, Yang, J, Zhao, Jh, Anni, F, Abdellaoui, A, Attwood, A, Balkau, B, Bandinelli, S, Bastardot, F, Benyamin, B, Boehm, Bo, Cookson, Wo, Das, D, de Bakker, Pi, de Boer, Ra, de Geus, Ej, de Moor, Mh, Dimitriou, M, Domingues, F, Döring, A, Engström, G, Eyjolfsson, Gi, Ferrucci, L, Fischer, K, Galanello, R, Garner, Sf, Genser, B, Gibson, Qd, Girotto, Giorgia, Gudbjartsson, Df, Harris, Se, Hartikainen, Al, Hastie, Ce, Hedblad, B, Illig, T, Jolley, J, Kähönen, M, Kema, Ip, Kemp, Jp, Liang, L, Lloyd Jones, H, Loos, Rj, Meacham, S, Medland, Se, Meisinger, C, Memari, Y, Mihailov, E, Miller, K, Moffatt, Mf, Nauck, M, Novatchkova, M, Nutile, T, Olafsson, I, Onundarson, Pt, Parracciani, D, Penninx, Bw, Perseu, L, Piga, A, Pistis, G, Pouta, A, Puc, U, Raitakari, O, Ring, Sm, Robino, Antonietta, Ruggiero, D, Ruokonen, A, Saint Pierre, A, Sala, C, Salumets, A, Sambrook, J, Schepers, H, Schmidt, Co, Silljé, Hh, Sladek, R, Smit, Jh, Starr, Jm, Stephens, J, Sulem, P, Tanaka, T, Thorsteinsdottir, U, Tragante, V, van Gilst, Wh, van Pelt, Lj, van Veldhuisen, Dj, Völker, U, Whitfield, Jb, Willemsen, G, Winkelmann, Br, Wirnsberger, G, Algra, A, Cucca, F, D'Adamo, ADAMO PIO, Danesh, J, Deary, Ij, Dominiczak, Af, Elliott, P, Fortina, P, Froguel, P, Gasparini, Paolo, Greinacher, A, Hazen, Sl, Jarvelin, Mr, Khaw, Kt, Lehtimäki, T, Maerz, W, Martin, Ng, Metspalu, A, Mitchell, Bd, Montgomery, Gw, Moore, C, Navis, G, Pirastu, M, Pramstaller, Pp, Ramirez Solis, R, Schadt, E, Scott, J, Shuldiner, Ar, Smith, Gd, Smith, Jg, Snieder, H, Sorice, R, Spector, Td, Stefansson, K, Stumvoll, M, Tang, Wh, Toniolo, D, Tönjes, A, Visscher, Pm, Vollenweider, P, Wareham, Nj, Wolffenbuttel, Bh, Boomsma, Di, Beckmann, J, Dedoussis, Gv, Deloukas, P, Ferreira, Ma, Sanna, S, Uda, M, Hicks, Aa, Penninger, Jm, Gieger, C, Kooner, J, Ouwehand, Wh, Soranzo, N, Chambers, J. C., Psychiatry, EMGO - Mental health, NCA - Anxiety & Depression, Biological Psychology, Neuroscience Campus Amsterdam - Anxiety & Depression, EMGO+ - Mental Health, Van Der Harst, Pim, Zhang, Weihua, Mateo Leach, Irene, Rendon, Augusto, Benyamin, Beben, Chambers, John C, Cardiovascular Centre (CVC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Life Course Epidemiology (LCE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Lifestyle Medicine (LM), Stem Cell Aging Leukemia and Lymphoma (SALL), Groningen Kidney Center (GKC), Vascular Ageing Programme (VAP), and Center for Liver, Digestive and Metabolic Diseases (CLDM)

Subjects
Male, Netherlands Twin Register (NTR), Candidate gene, Erythrocytes, PROTEIN, Genome-wide association study, DISEASE, Hemoglobins, Mice, 0302 clinical medicine, Genetics, Genomics, blood, 0303 health sciences, Multidisciplinary, biology, Cell Cycle, COMMON VARIANTS, Genomics, Phenotype, anemia, 3. Good health, Haematopoiesis, DROSOPHILA, Drosophila melanogaster, medicine.anatomical_structure, HEMOGLOBIN LEVELS, Organ Specificity, 030220 oncology & carcinogenesis, Cytokines, Female, RNA Interference, TRAITS, Signal Transduction, EXPRESSION, Polymorphism, Single Nucleotide, Article, Genomic disorders and inherited multi-system disorders DCN MP - Plasticity and memory [IGMD 3], 03 medical and health sciences, SDG 3 - Good Health and Well-being, Genetic, blood, medicine, Animals, Humans, GENOME-WIDE ASSOCIATION, 030304 developmental biology, RECEPTOR, CONSORTIUM, ta3121, hemoglobin, biology.organism_classification, Hematopoiesis, meta-analysis, Red blood cell, Gene Expression Regulation, Genetic Loci, Expression quantitative trait loci, genome-wide association studies, Genome-Wide Association Study
Abstract

Item does not contain fulltext Anaemia is a chief determinant of global ill health, contributing to cognitive impairment, growth retardation and impaired physical capacity. To understand further the genetic factors influencing red blood cells, we carried out a genome-wide association study of haemoglobin concentration and related parameters in up to 135,367 individuals. Here we identify 75 independent genetic loci associated with one or more red blood cell phenotypes at P < 10(-8), which together explain 4-9% of the phenotypic variance per trait. Using expression quantitative trait loci and bioinformatic strategies, we identify 121 candidate genes enriched in functions relevant to red blood cell biology. The candidate genes are expressed preferentially in red blood cell precursors, and 43 have haematopoietic phenotypes in Mus musculus or Drosophila melanogaster. Through open-chromatin and coding-variant analyses we identify potential causal genetic variants at 41 loci. Our findings provide extensive new insights into genetic mechanisms and biological pathways controlling red blood cell formation and function.

Published
2012
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21. Genome-wide association study confirms BST1 and suggests a locus on 12q24 as the risk loci for Parkinson's disease in the European population

Author

Philippe Amouyel, Jean-Charles Lambert, Alexis Brice, Mark Lathrop, Diana Zelenika, Alexandra Durr, Aude Saint-Pierre, Franck Durif, Pierre Pollak, Peter A. Silburn, Mohamad Saad, Christophe Tzourio, Philippe Damier, Jean-Christophe Corvol, Alexis Elbaz, Catherine Helmer, Marie Vidailhet, François Tison, George D. Mellick, Maria Martinez, Maurice Giroud, Sylvie Forlani, Marie-Anne Loriot, Ebba Lohmann, Florence Portet, and Suzanne Lesage

Subjects
Adult, Male, Genotype, In silico, Locus (genetics), Genome-wide association study, Single-nucleotide polymorphism, GPI-Linked Proteins/genetics, Biology, GPI-Linked Proteins, Genome, Polymorphism, Single Nucleotide, Europe/epidemiology, 03 medical and health sciences, 0302 clinical medicine, ADP-ribosyl Cyclase/genetics, Antigens, CD, Risk Factors, Genetics, Humans, Genetic Predisposition to Disease, ADP-ribosyl Cyclase, Molecular Biology, Gene, Genetics (clinical), 030304 developmental biology, Aged, 0303 health sciences, Chromosomes, Human, Pair 12, Parkinson Disease/epidemiology/genetics, Antigens, CD/genetics, Brain, Genetic Variation, Parkinson Disease, General Medicine, Middle Aged, ddc:616.8, Europe, Genetic Loci, Case-Control Studies, Female, RFX4, Chromosomes, Human, Pair 4, Brain morphogenesis, 030217 neurology & neurosurgery, Genome-Wide Association Study, Transcription Factors
Abstract

We performed a three-stage genome-wide association study (GWAS) to identify common Parkinson's disease (PD) risk variants in the European population. The initial genome-wide scan was conducted in a French sample of 1039 cases and 1984 controls, using almost 500 000 single nucleotide polymorphisms (SNPs). Two SNPs at SNCA were found to be associated with PD at the genome-wide significance level (P < 3 × 10(-8)). An additional set of promising and new association signals was identified and submitted for immediate replication in two independent case-control studies of subjects of European descent. We first carried out an in silico replication study using GWAS data from the WTCCC2 PD study sample (1705 cases, 5200 WTCCC controls). Nominally replicated SNPs were further genotyped in a third sample of 1527 cases and 1864 controls from France and Australia. We found converging evidence of association with PD on 12q24 (rs4964469, combined P = 2.4 × 10(-7)) and confirmed the association on 4p15/BST1 (rs4698412, combined P = 1.8 × 10(-6)), previously reported in Japanese data. The 12q24 locus includes RFX4, an isoform of which, named RFX4_v3, encodes brain-specific transcription factors that regulate many genes involved in brain morphogenesis and intracellular calcium homeostasis.

Published
2011

22. Moment estimators of relatedness from low-depth whole-genome sequencing data

Author

Herzig, Anthony, Ciullo, M., Leutenegger, A-L., Perdry, H., Génétique, génomique fonctionnelle et biotechnologies (UMR 1078) (GGB), EFS-Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), Institute of Genetics and Biophysics 'A. Buzzati Traverso' [Naples, Italy], Consiglio Nazionale delle Ricerche [Roma] (CNR), Istituto Neurologico Mediterraneo (NEUROMED I.R.C.C.S.), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA)-University of Naples Federico II = Università degli studi di Napoli Federico II, Maladies neurodéveloppementales et neurovasculaires (NeuroDiderot (UMR_S_1141 / U1141)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, FranceGenRef Consortium: Jean-François Deleuze, Emmanuelle Génin, Richard Redon, Chantal Adjou, Stéphanie Chatel, Claude Férec, Marcel Goldberg, Philippe-Antoine Halbout, Hervé Le Marec, David L'Helgouach, Karen Rouault, Jean-Jacques Schott, Anne Vogelsperger, Marie Zins, Delphine Bacq, Hélène Blanchet, Anne Boland, Pierre Lindenbaum, Thomas Ludwig, Vincent Meyer, Robert Olaso, Lourdes Velo-Suárez, Isabel Alves, Ozvan Bocher, Christian Dina, Anthony F Herzig, Matilde Karakachoff, Gaëlle Marenne, Aude Saint Pierre, and PODEUR, Sophie

Subjects
Genotype, Models, Genetic, Whole Genome Sequencing, [SDV]Life Sciences [q-bio], Applied Mathematics, Low-depth, Biochemistry, Pedigree, Computer Science Applications, [SDV] Life Sciences [q-bio], Fraternity coefficient, Genotype likelihoods, Structural Biology, Kinship, Humans, Computer Simulation, Moment estimators, Sequencing data, Molecular Biology, Software
Abstract

Background Estimating relatedness is an important step for many genetic study designs. A variety of methods for estimating coefficients of pairwise relatedness from genotype data have been proposed. Both the kinship coefficient $$\varphi$$ φ and the fraternity coefficient $$\psi$$ ψ for all pairs of individuals are of interest. However, when dealing with low-depth sequencing or imputation data, individual level genotypes cannot be confidently called. To ignore such uncertainty is known to result in biased estimates. Accordingly, methods have recently been developed to estimate kinship from uncertain genotypes. Results We present new method-of-moment estimators of both the coefficients $$\varphi$$ φ and $$\psi$$ ψ calculated directly from genotype likelihoods. We have simulated low-depth genetic data for a sample of individuals with extensive relatedness by using the complex pedigree of the known genetic isolates of Cilento in South Italy. Through this simulation, we explore the behaviour of our estimators, demonstrate their properties, and show advantages over alternative methods. A demonstration of our method is given for a sample of 150 French individuals with down-sampled sequencing data. Conclusions We find that our method can provide accurate relatedness estimates whilst holding advantages over existing methods in terms of robustness, independence from external software, and required computation time. The method presented in this paper is referred to as LowKi (Low-depth Kinship) and has been made available in an R package (https://github.com/genostats/LowKi).

Published
2022
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