Author: "Le Floch, E." / Language: english - Searchworks@Jio Institute Digital Library Search Results

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41 results on '"Le Floch, E."'

1. The THESEUS space mission: science goals, requirements and mission concept

Author: Amati, L., O’Brien, P.T., Götz, D., Bozzo, E., Santangelo, A., Tanvir, N., Frontera, F., Mereghetti, S., Osborne, J. P., Blain, A., Basa, S., Branchesi, M., Burderi, L., Caballero-García, M., Castro-Tirado, A. J., Christensen, L., Ciolfi, R., De Rosa, A., Doroshenko, V., Ferrara, A., Ghirlanda, G., Hanlon, L., Heddermann, P., Hutchinson, I., Labanti, C., Le Floch, E., Lerman, H., Paltani, S., Reglero, V., Rezzolla, L., Rosati, P., Salvaterra, R., Stratta, G., and Tenzer, C.
Published: 2021
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2. Gamma ray burst studies with THESEUS

Author: Ghirlanda, G., Salvaterra, R., Toffano, M., Ronchini, S., Guidorzi, C., Oganesyan, G., Ascenzi, S., Bernardini, M. G., Camisasca, A. E., Mereghetti, S., Nava, L., Ravasio, M. E., Branchesi, M., Castro-Tirado, A., Amati, L., Blain, A., Bozzo, E., O’Brien, P., Götz, D., Le Floch, E., Osborne, J. P., Rosati, P., Stratta, G., Tanvir, N., Bogomazov, A. I., D’Avanzo, P., Hafizi, M., Mandhai, S., Melandri, A., Peer, A., Topinka, M., Vergani, S. D., and Zane, S.
Published: 2021
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3. The THESEUS space mission concept: science case, design and expected performances

Author: Amati, L., O’Brien, P., Götz, D., Bozzo, E., Tenzer, C., Frontera, F., Ghirlanda, G., Labanti, C., Osborne, J.P., Stratta, G., Tanvir, N., Willingale, R., Attina, P., Campana, R., Castro-Tirado, A.J., Contini, C., Fuschino, F., Gomboc, A., Hudec, R., Orleanski, P., Renotte, E., Rodic, T., Bagoly, Z., Blain, A., Callanan, P., Covino, S., Ferrara, A., Le Floch, E., Marisaldi, M., Mereghetti, S., Rosati, P., Vacchi, A., D’Avanzo, P., Giommi, P., Piranomonte, S., Piro, L., Reglero, V., Rossi, A., Santangelo, A., Salvaterra, R., Tagliaferri, G., Vergani, S., Vinciguerra, S., Briggs, M., Campolongo, E., Ciolfi, R., Connaughton, V., Cordier, B., Morelli, B., Orlandini, M., Adami, C., Argan, A., Atteia, J.-L., Auricchio, N., Balazs, L., Baldazzi, G., Basa, S., Basak, R., Bellutti, P., Bernardini, M.G., Bertuccio, G., Braga, J., Branchesi, M., Brandt, S., Brocato, E., Budtz-Jorgensen, C., Bulgarelli, A., Burderi, L., Camp, J., Capozziello, S., Caruana, J., Casella, P., Cenko, B., Chardonnet, P., Ciardi, B., Colafrancesco, S., Dainotti, M.G., D’Elia, V., De Martino, D., De Pasquale, M., Del Monte, E., Della Valle, M., Drago, A., Evangelista, Y., Feroci, M., Finelli, F., Fiorini, M., Fynbo, J., Gal-Yam, A., Gendre, B., Ghisellini, G., Grado, A., Guidorzi, C., Hafizi, M., Hanlon, L., Hjorth, J., Izzo, L., Kiss, L., Kumar, P., Kuvvetli, I., Lavagna, M., Li, T., Longo, F., Lyutikov, M., Maio, U., Maiorano, E., Malcovati, P., Malesani, D., Margutti, R., Martin-Carrillo, A., Masetti, N., McBreen, S., Mignani, R., Morgante, G., Mundell, C., Nargaard-Nielsen, H.U., Nicastro, L., Palazzi, E., Paltani, S., Panessa, F., Pareschi, G., Pe’er, A., Penacchioni, A.V., Pian, E., Piedipalumbo, E., Piran, T., Rauw, G., Razzano, M., Read, A., Rezzolla, L., Romano, P., Ruffini, R., Savaglio, S., Sguera, V., Schady, P., Skidmore, W., Song, L., Stanway, E., Starling, R., Topinka, M., Troja, E., van Putten, M., Vanzella, E., Vercellone, S., Wilson-Hodge, C., Yonetoku, D., Zampa, G., Zampa, N., Zhang, B., Zhang, B.B., Zhang, S., Zhang, S.-N., Antonelli, A., Bianco, F., Boci, S., Boer, M., Botticella, M.T., Boulade, O., Butler, C., Campana, S., Capitanio, F., Celotti, A., Chen, Y., Colpi, M., Comastri, A., Cuby, J.-G., Dadina, M., De Luca, A., Dong, Y.-W., Ettori, S., Gandhi, P., Geza, E., Greiner, J., Guiriec, S., Harms, J., Hernanz, M., Hornstrup, A., Hutchinson, I., Israel, G., Jonker, P., Kaneko, Y., Kawai, N., Wiersema, K., Korpela, S., Lebrun, V., Lu, F., MacFadyen, A., Malaguti, G., Maraschi, L., Melandri, A., Modjaz, M., Morris, D., Omodei, N., Paizis, A., Páta, P., Petrosian, V., Rachevski, A., Rhoads, J., Ryde, F., Sabau-Graziati, L., Shigehiro, N., Sims, M., Soomin, J., Szécsi, D., Urata, Y., Uslenghi, M., Valenziano, L., Vianello, G., Vojtech, S., Watson, D., and Zicha, J.
Published: 2018
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4. Multivariate haplotype analysis of 96 sulci opening for 15,612 UK-Biobank subjects

Author: Karkar, S., Gloaguen, A., Le Guen, Y., Pierre-Jean, Morgane, Dandine-Roulland, C., Le Floch, E., Philippe, C., Tenenhaus, A., Frouin, V., Unité Analyse et Traitement de l'Information (UNATI), Service NEUROSPIN (NEUROSPIN), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Centre National de Génotypage (CNG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
Subjects: haplotype, multivariate analysis, [SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Imaging genetics, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]
Abstract: International audience; Imaging genetic studies of large control cohorts such as UK Biobank enable to assess the range of normal variations in brain structures. Previous studies by our group have shown that the width of several cortical sulci is associated with a variant in the upstream region of KCNK2 gene even if this effect is corrected with age. Here we propose to analyze in a multivariate setup the associations between sets of genetic variants and multiple sulci widths. The genetic variants we consider are sets of SNPs of known phase called haplotypes, taken from the upstream region of KCNK2 gene. To the best of our knowledge, multivariate analysis in imaging genetics has never been used in haplotype studies. Our method was able to recover the expected association signal and uncover new associations between imaging data and genetic variants.
Published: 2019

5. Optimizing gravitational waves follow-up using galaxies stellar mass.

Author: Ducoin, J-G, Corre, D, Leroy, N, and Le Floch, E
Subjects: GRAVITATIONAL waves, STELLAR mass, GALAXIES
Abstract: We present a new strategy to optimize the electromagnetic follow-up of gravitational wave triggers. This method is based on the widely used galaxy targeting approach where we add the stellar mass of galaxies in order to prioritize the more massive galaxies. We cross-matched the Galaxy List for the Advanced Detector Era (GLADE) galaxy catalogue with the AllWISE catalogue up to 400 Mpc with an efficiency of ∼93 per cent, and derived stellar masses using a mass-to-light ratio using the WISE1 band luminosity. We developed a new grade to rank galaxies combining their 3D localization probability associated with the gravitational wave event with the new stellar mass information. The efficiency of this new approach is illustrated with the GW170817 event, which shows that its host galaxy, NGC 4993, is ranked at the first place using this new method. The catalogue, named MANGROVE, is publicly available and the ranking of galaxies is automatically provided through a dedicated website for each gravitational wave event. [ABSTRACT FROM AUTHOR]
Published: 2020
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6. The Deep and Transient Universe in the SVOM Era: New Challenges and Opportunities - Scientific prospects of the SVOM mission

Author: Wei, J., Cordier, B., Antier, S., Antilogus, P., Atteia, J.-L., Bajat, A., Basa, S., Beckmann, V., Bernardini, M. G., Boissier, Samuel, Bouchet, L., Burwitz, V., Claret, A., Dai, Z.-G., Daigne, F., Deng, J., Dornic, D., Feng, H., Foglizzo, T., Gao, H., Gehrels, N., Godet, O., Goldwurm, A., Gonzalez, F., Gosset, L., Götz, D., Gouiffes, C., Grise, F., Gros, A., Guilet, J., Han, X., Huang, M., Huang, Y.-F., Jouret, M., Klotz, A., La Marle, O., Lachaud, C., Le Floch, E., Lee, W., Leroy, N., Li, L.-X., Li, S. C., Li, Z., Liang, E.-W., Lyu, H., Mercier, K., Migliori, G., Mochkovitch, R., O'Brien, P., Osborne, J., Paul, J., Perinati, E., Petitjean, P., Piron, F., Qiu, Y., Rau, A., Rodriguez, J., Schanne, S., Tanvir, N., Vangioni, E., Vergani, S., Wang, F.-Y., Wang, J., Wang, X.-G., Wang, X.-Y., Watson, A., Webb, N., Wei, J. J., Willingale, R., Wu, C., Wu, X.-F., Xin, L.-P., Xu, D., Yu, S., Yu, W.-F., Yu, Y.-W., Zhang, B., Zhang, S.-N., Zhang, Y., Zhou, X. L., Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut de recherche en astrophysique et planétologie (IRAP), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Univers et Particules de Montpellier (LUPM), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Nanjing University (NJU), Institut d'Astrophysique de Paris (IAP), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), National Astronomical Observatories [Beijing] (NAOC), Chinese Academy of Sciences [Beijing] (CAS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre National d’Études Spatiales [Paris] (CNES), Observatoire astronomique de Strasbourg (ObAS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre National d'Études Spatiales [Toulouse] (CNES), Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut für Astronomie und Astrophysik [Tübingen] (IAAT), Eberhard Karls Universität Tübingen = Eberhard Karls University of Tuebingen, Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Department of Physics and Astronomy [Leicester], University of Leicester, Galaxies, Etoiles, Physique, Instrumentation (GEPI), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, SVOM, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Université de Montpellier (UM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Universidad Nacional Autónoma de México (UNAM), Eberhard Karls Universität Tübingen, PSL Research University (PSL)-PSL Research University (PSL)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Pierre et Marie Curie - Paris 6 (UPMC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Montpellier 2 - Sciences et Techniques (UM2), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, and PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)
Subjects: Astrophysics::High Energy Astrophysical Phenomena, [SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE], Astrophysics::Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics, [SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]
Abstract: To take advantage of the astrophysical potential of Gamma-Ray Bursts (GRBs), Chinese and French astrophysicists have engaged the SVOM mission (Space-based multi-band astronomical Variable Objects Monitor). Major advances in GRB studies resulting from the synergy between space and ground observations, the SVOM mission implements space and ground instrumentation. The scientific objectives of the mission put a special emphasis on two categories of GRBs: very distant GRBs at z$>$5 which constitute exceptional cosmological probes, and faint/soft nearby GRBs which allow probing the nature of the progenitors and the physics at work in the explosion. These goals have a major impact on the design of the mission: the on-board hard X-ray imager is sensitive down to 4 keV and computes on line image and rate triggers, and the follow-up telescopes on the ground are sensitive in the NIR. At the beginning of the next decade, SVOM will be the main provider of GRB positions and spectral parameters on very short time scale. The SVOM instruments will operate simultaneously with a wide range of powerful astronomical devices. This rare instrumental conjunction, combined with the relevance of the scientific topics connected with GRB studies, warrants a remarkable scientific return for SVOM. In addition, the SVOM instrumentation, primarily designed for GRB studies, composes a unique multi-wavelength observatory with rapid slew capability that will find multiple applications for the whole astronomy community beyond the specific objectives linked to GRBs. This report lists the scientific themes that will benefit from observations made with SVOM, whether they are specific GRB topics, or more generally all the issues that can take advantage of the multi-wavelength capabilities of SVOM.
Published: 2016

7. The evolution of quiescent galaxies at high redshifts (z≥ 1.4)

Author: Domínguez Sánchez H., Gruppioni C., Ilbert O., Pozzetti L., McCracken H., Capak P., Le Floch E., Salvato M., Zamorani G., Carollo C. M., Contini T., Kneib J. P., Le Fèvre O., Lilly S. J., Mainieri V., Renzini A., Scodeggio M., Bardelli S., Bolzonella M., Bongiorno A., Caputi K., Coppa G., de la Torre S., de Ravel L., Franzetti P., Garilli B., Iovino A., Kampczyk P., Knobel C., Kova, #269, Lamareille F., Le Borgne J. F., Le Brun V., Maier C., Mignoli M., Pelló R., Peng Y., Perez Montero E., Ricciardelli E., Silverman J. D., Tanaka M., Tasca L. A. M., Tresse L., Vergani D., Zucca E., POZZI, FRANCESCA, CIMATTI, ANDREA, CUCCIATI, OLGA, Domínguez Sánchez H., Pozzi F., Gruppioni C., Cimatti A., Ilbert O., Pozzetti L., McCracken H., Capak P., Le Floch E., Salvato M., Zamorani G., Carollo C. M., Contini T., Kneib J.-P., Le Fèvre O., Lilly S. J., Mainieri V., Renzini A., Scodeggio M., Bardelli S., Bolzonella M., Bongiorno A., Caputi K., Coppa G., Cucciati O., de la Torre S., de Ravel L., Franzetti P., Garilli B., Iovino A., Kampczyk P., Knobel C., Kova&#269, K., Lamareille F., Le Borgne J.-F., Le Brun V., Maier C., Mignoli M., Pelló R., Peng Y., Perez-Montero E., Ricciardelli E., Silverman J. D., Tanaka M., Tasca L. A. M., Tresse L., Vergani D., and Zucca E.
Subjects: galaxies: high-redshift, galaxies: star formation, Astrophysics::Solar and Stellar Astrophysics, Astrophysics::Earth and Planetary Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, galaxies: evolution, Astrophysics::Galaxy Astrophysics
Abstract: The goal of this work is to study the evolution of high-redshift (z≥ 1.4) quiescent galaxies over an effective area of ˜1.7 deg2 in the COSMOS field. Galaxies have been divided according to their star formation activity and the evolution of the different populations, in particular of the quiescent galaxies, has been investigated in detail. We have studied an IRAC (mag 3.6 μm < 22.0) selected sample of ˜18 000 galaxies at z≥ 1.4 in the COSMOS field with multiwavelength coverage extending from the U band to the Spitzer 24 μm one. We have derived accurate photometric redshifts (?) through a SED-fitting procedure. Other important physical parameters [masses, ages and star formation rates (SFR)] of the galaxies have been obtained using Maraston models. We have divided our sample into actively star-forming, intermediate and quiescent galaxies depending on their specific star formation rate (SSFR = SFR/M). We have computed the galaxy stellar mass function (GSMF) of the total sample and the different populations at z= 1.4-3.0. We have studied the properties of high-redshift quiescent galaxies finding that they are old (1-4 Gyr), massive (˜ 1010.65 M⊙), weakly star-forming stellar populations with low dust extinction [E(B-V) ≤ 0.15] and small e-folding time-scales (τ˜ 0.1-0.3 Gyr). We observe a significant evolution of the quiescent stellar mass function from 2.5 < z < 3.0 to 1.4 < z < 1.6, increasing by ˜1 dex in this redshift interval. We find that z˜ 1.5 is an epoch of transition of the GSMF: while the GSMF at z≳ 1.5 is dominated by the star-forming galaxies at all stellar masses, at z≲ 1.5 the contribution to the total GSMF of the quiescent galaxies is significant and becomes higher than that of the star-forming population for M≥ 1010.75 M⊙. The fraction of star-forming galaxies decreases from 60-20 per cent from z˜ 2.5-3.0 to 1.4-1.6 for M˜ 1011.0 M⊙, while the quiescent population increases from 10-50 per cent at the same redshift and mass intervals. We compare the fraction of quiescent galaxies derived with that predicted by theoretical models and find that the Kitzbichler & White model, implemented on the Millennium Simulation, is the one that better reproduces the shape of the data. Finally, we calculate the stellar mass density of the star-forming and quiescent populations as a function of redshift and find that there is already a significant number of quiescent galaxies at z > 2.5 (logρ[M⊙ Mpc-3]˜ 6), meaning that efficient star formation had to take place before that time.
Published: 2011

8. Hot-dust-poor Type 1 AGNs in the COSMOS survey

Author: Hao H., Elvis M., Civano F., LANZUISI, GIORGIO, Zamorani G., Comastri A., Bongiorno A., Impey C., Koekemoer A. M., Le Floch E., Salvato M., Sanders D., Trump J., BRUSA, MARCELLA, LUSSO, ELISABETA, VIGNALI, CRISTIAN, Hao H., Elvis M., Civano F., Lanzuisi G., Brusa M., Lusso E., Zamorani G., Comastri A., Bongiorno A., Impey C., Koekemoer A.M., Le Floch E., Salvato M., Sanders D., Trump J., and Vignali C.
Subjects: Astrophysics::High Energy Astrophysical Phenomena, Astrophysics::Earth and Planetary Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics::Galaxy Astrophysics, galaxies: evolution – quasars: general
Abstract: e report a sizable class of type 1 active galactic nuclei (AGNs) with unusually weak near-infrared (1–3μm) emission in the XMM-COSMOS type 1 AGN sample. The fraction of these “hot-dust-poor” AGNs increases with redshift from 6% at low redshift (z < 2) to 20% at moderate high redshift (2 < z < 3.5). There is no clear trend of the fraction with other parameters: bolometric luminosity, Eddington ratio, black hole mass, and X-ray luminosity. The 3 μm emission relative to the 1 μm emission is a factor of 2–4 smaller than the typical Elvis et al. AGN spectral energy distribution (SED), which indicates a “torus” covering factor of 2%–29%, a factor of 3–40 smaller than required by unified models. The weak hot dust emission seems to expose an extension of the accretion disk continuum in some of the source SEDs. We estimate the outer edge of their accretion disks to lie at (0.3–2.0) × 104 Schwarzschild radii, ∼10–23 times the gravitational stability radii. Formation scenarios for these sources are discussed.
Published: 2010

9. Voxelwise multivariate statistics and brain-wide machine learning using the full diffusion tensor

Author: Fouque, A. L., Fillard, P., Bargiacchi, A., Arnaud Cachia, Zilbovicius, M., Thyreau, B., Le Floch, E., Ciuciu, P., Duchesnay, E., Modelling brain structure, function and variability based on high-field MRI data (PARIETAL), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire de Neuroimagerie Assistée par Ordinateur (LNAO), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Service NEUROSPIN (NEUROSPIN), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay
Subjects: Brain Mapping, Models, Statistical, Brain, [SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine, Magnetic Resonance Imaging, Diffusion Tensor Imaging, Artificial Intelligence, Child Development Disorders, Pervasive, Multivariate Analysis, Image Processing, Computer-Assisted, Humans, Child, Algorithms, Software
Abstract: International audience; In this paper, we propose to use the full diffusion tensor to perform brain-wide score prediction on diffusion tensor imaging (DTI) using the log-Euclidean framework., rather than the commonly used fractional anisotropy (FA). Indeed, scalar values such as the FA do not capture all the information contained in the diffusion tensor. Additionally, full tensor information is included in every step of the pre-processing pipeline: registration, smoothing and feature selection using voxelwise multivariate regression analysis. This approach was tested on data obtained from 30 children and adolescents with autism spectrum disorder and showed some improvement over the FA-only analysis.
Published: 2011

10. The role of massive halos in the star formation history of the Universe.

Author: Popesso, P., Biviano, A., Finoguenov, A., Wilman, D., Salvato, M., Magnelli, B., Gruppioni, C., Pozzi, F., Rodighiero, G., Ziparo, F., Berta, S., Elbaz, D., Dickinson, M., Lutz, D., Altieri, B., Aussel, H., Cimatti, A., Fadda, D., Ilbert, O., and Le Floch, E.
Subjects: GALACTIC halos, GALACTIC redshift, STELLAR density (Stellar population), GALACTIC evolution, STAR formation, ASTRONOMICAL surveys
Abstract: Context. The most striking feature of the cosmic star formation history (CSFH) of the Universe is a dramatic drop in the star formation (SF) activity after z ∼ 1. Aims. In this work we investigate whether the very same process of assembly and growth of structures is one of the major drivers of the observed decline in the Universe's SF activity. Methods. We study the contribution to the CSFH of galaxies in halos of different masses. This is done by studying the total SF ratehalo mass-redshift plane from redshift 0 to redshift ∼1.6 in a sample of 57 groups and clusters by using the deepest available midand far-infrared surveys conducted with Spitzer MIPS and Herschel PACS and SPIRE, on blank (ECDFS, CDFN, and the COSMOS) and cluster fields. Results. Our results show that low mass groups (Mhalo ∼ 6 × 1012-6 × 1013 M☉) provide a 60-80% contribution to the CSFH at z ∼ 1. This contribution has declined faster than the CSFH in the past 8 billion years to less than 10% at z < 0.3, where the overall SF activity is sustained by lower mass halos. More massive systems (Mhalo > 6 × 1013 M☉) provide only a marginal contribution (<10%) at any epoch. A simplified abundance-matching method shows that the large contribution of low mass groups at z ∼ 1 is due to a large fraction (>50%) of very massive, highly star-forming main sequence galaxies. Below z ∼ 1 a quenching process must take place in massive halos to cause the observed faster suppression of their SF activity. Such a process must be a slow one, though, since most of the models implementing a rapid quenching of the SF activity in accreting satellites significantly underpredict the observed SF level in massive halos at any redshift. This would rule out short time-scale mechanisms such as ram pressure stripping. Instead, starvation or the satellite's transition from cold to hot accretion would provide a quenching timescale of 1 to few Gyr that is more consistent with the observations. Conclusions. Our results suggest a scenario in which, owing to the structure formation process, more and more galaxies experience the group environment and the associated quenching process in the past 8 billion years. This leads to the progressive suppression of their SF activity so that it shapes the CSFH below z ∼ 1. [ABSTRACT FROM AUTHOR]
Published: 2015
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11. The evolution of galaxy star formation activity in massive haloes.

Author: Popesso, P., Biviano, A., Finoguenov, A., Wilman, D., Salvato, M., Magnelli, B., Gruppioni, C., Pozzi, F., Rodighiero, G., Ziparo, F., Berta, S., Elbaz, D., Dickinson, M., Lutz, D., Altieri, B., Aussel, H., Cimatti, A., Fadda, D., Ilbert, O., and Le Floch, E.
Subjects: GALACTIC evolution, STELLAR evolution, GALACTIC halos, GALACTIC redshift, STELLAR mass, INFRARED radiation
Abstract: Context. There is now a large consensus that the current epoch of the cosmic star formation history (CSFH) is dominated by low mass galaxies while the most active phase, between redshifts 1 and 2, is dominated by more massive galaxies, which evolve more quickly. Aims. Massive galaxies tend to inhabit very massive haloes, such as galaxy groups and clusters. We aim to understand whether the observed "galaxy downsizing" could be interpreted as a "halo downsizing", whereas the most massive haloes, and their galaxy populations, evolve more rapidly than the haloes with lower mass. Methods. We studied the contribution to the CSFH of galaxies inhabiting group-sized haloes. This is done through the study of the evolution of the infra-red (IR) luminosity function of group galaxies from redshift 0 to redshift ~1.6. We used a sample of 39 X-rayselected groups in the Extended Chandra Deep Field South (ECDFS), the Chandra Deep Field North (CDFN), and the COSMOS field, where the deepest available mid- and far-IR surveys have been conducted with Spitzer MIPS and with the Photodetector Array Camera and Spectrometer (PACS) on board the Herschel satellite. Results. Groups at low redshift lack the brightest, rarest, and most star forming IR-emitting galaxies observed in the field. Their IR-emitting galaxies contribute ≤10% of the comoving volume density of the whole IR galaxy population in the local Universe. At redshift ≳1, the most IR-luminous galaxies (LIRGs and ULIRGs) are mainly located in groups, and this is consistent with a reversal of the star formation rate (SFR) vs. density anti-correlation observed in the nearby Universe. At these redshifts, group galaxies contribute 60-80% of the CSFH, i.e. much more than at lower redshifts. Below z ~ 1, the comoving number and SFR densities of IR-emitting galaxies in groups decline significantly faster than those of all IR-emitting galaxies. Conclusions. Our results are consistent with a "halo downsizing" scenario and highlight the significant role of "environment" quenching in shaping the CSFH. [ABSTRACT FROM AUTHOR]
Published: 2015
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12. Discovering associations in high dimensional imaging-genetics data: A comparison study of dimension reduction and regularisation strategies combined with partial least squares.

Author: Le Floch, E., Pinel, P., Tenenhaus, A., Trinchera, L., Poline, J. B., Frouin, V., and Duchesnay, E.
Abstract: Brain imaging is increasingly recognised as an intermediate pheno-type in the understanding of the complex path between genetics and behavioural or clinical phenotypes. In this context, a first goal is to propose methods to identify the part of genetic variability that explains some neuroimaging variability. Here, we investigate multi-variate methods, Partial Least Squares (PLS) regression and Canonical Correlation Analysis (CCA), in order to identify a set of Single Nucleotide Polymorphisms (SNPs) covarying with a set of neuroimaging phenotypes derived from functional Magnetic Resonance Imaging (fMRI). Because in such high-dimensional settings multi-variate methods overfit the data, we propose a comparison study of several dimension reduction and regularisation strategies combined with PLS or CCA. We demonstrate that the combination of univariate filtering and sparse PLS outperforms all other strategies and is able to extract a significant link between a set of SNPs and a set of brain regions activated during a reading task. [ABSTRACT FROM PUBLISHER]
Published: 2012
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13. A multiwavelength consensus on the main sequence of star-forming galaxies at z ∼ 2.

Author: Rodighiero, G., Renzini, A., Daddi, E., Baronchelli, I., Berta, S., Cresci, G., Franceschini, A., Gruppioni, C., Lutz, D., Mancini, C., Santini, P., Zamorani, G., Silverman, J., Kashino, D., Andreani, P., Cimatti, A., Sánchez, H. Domínguez, Le Floch, E., Magnelli, B., and Popesso, P.
Subjects: WAVELENGTHS, STAR formation, STELLAR mass, ULTRAVIOLET radiation, STELLAR luminosity function, GALACTIC evolution
Abstract: We compare various star formation rate (SFR) indicators for star-forming galaxies at 1.4 < z < 2.5 in the COSMOS field. The main focus is on the SFRs from the far-IR (PACS-Herschel data) with those from the ultraviolet, for galaxies selected according to the BzK criterion. FIR-selected samples lead to a vastly different slope of the SFR–stellar mass (M*) relation, compared to that of the dominant main-sequence population as measured from the UV, since the FIR selection picks predominantly only a minority of outliers. However, there is overall agreement between the main sequences derived with the two SFR indicators, when stacking on the PACS maps the BzK-selected galaxies. The resulting logarithmic slope of the SFR–M* relation is ∼0.8–0.9, in agreement with that derived from the dust-corrected UV luminosity. Exploiting deeper 24 μm Spitzer data, we have characterized a subsample of galaxies with reddening and SFRs poorly constrained, as they are very faint in the B band. The combination of Herschel with Spitzer data has allowed us to largely break the age/reddening degeneracy for these intriguing sources, by distinguishing whether a galaxy is very red in B-z because of being heavily dust reddened, or whether because star formation has been (or is being) quenched. Finally, we have compared our SFR(UV) to the SFRs derived by stacking the radio data and to those derived from the Hα luminosity of a sample of star-forming galaxies at 1.4 < z < 1.7. The two sets of SFRs are broadly consistent as they are with the SFRs derived from the UV and by stacking the corresponding PACS data in various mass bins. [ABSTRACT FROM PUBLISHER]
Published: 2014
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14. HerMES: deep number counts at 250μm, 350μm and 500μm in the COSMOS and GOODS-N fields and the build-up of the cosmic infrared background.

Author: Béthermin, M., Le Floch, E., Ilbert, O., Conley, A.s, Lagache, G., Amblard, A., Arumugam, V., Aussel, H., Berta, S., Bock, J., Boselli, A., Buat, V., Casey, C. M., Castro-Rodríguez, N., Cava, A., Clements, D. L., Cooray, A., Dowell, C. D., Eales, S., and Farrah, D.
Subjects: *REDSHIFT, *GALAXIES, *NUMERICAL analysis, *ASTROPHYSICS, *MATHEMATICAL models
Abstract: Aims. The Spectral and Photometric Imaging Receiver (SPIRE) onboard the Herschel space telescope has provided confusion limited maps of deep fields at 250 μm, 350 μm, and 500 μm, as part of the Herschel Multi-tiered Extragalactic Survey (HerMES). Unfortunately, due to confusion, only a small fraction of the cosmic infrared background (CIB) can be resolved into individually-detected sources. Our goal is to produce deep galaxy number counts and redshift distributions below the confusion limit at SPIRE wavelengths (∼20 mJy), which we then use to place strong constraints on the origins of the cosmic infrared background and on models of galaxy evolution. Methods. We individually extracted the bright SPIRE sources (>20 mJy) in the COSMOS field with a method using the positions, the flux densities, and the redshifts of the 24 μm sources as a prior, and derived the number counts and redshift distributions of the bright SPIRE sources. For fainter SPIRE sources (<20 mJy), we reconstructed the number counts and the redshift distribution below the confusion limit using the deep 24 μm catalogs associated with photometric redshift and information provided by the stacking of these sources into the deep SPIRE maps of the GOODS-N and COSMOS fields. Finally, by integrating all these counts, we studied the contribution of the galaxies to the CIB as a function of their flux density and redshift. Results. Through stacking, we managed to reconstruct the source counts per redshift slice down to ∼2 mJy in the three SPIRE bands, which lies about a factor 10 below the 5σ confusion limit. Our measurements place tight constraints on source population models. None of the pre-existing models are able to reproduce our results at better than 3-σ. Finally, we extrapolate our counts to zero flux density in order to derive an estimate of the total contribution of galaxies to the CIB, finding 10.12.32.6nW m-2sr-1, 6.5-1.6+1.7nW m-2 sr-1, and 2.8-0.8+0.9nW m-2 sr-1 at 250 μm, 350 μm, and 500 μm, respectively. These values agree well with FIRAS absolute measurements, suggesting our number counts and their extrapolation are sufficient to explain the CIB. We find that half of the CIB is emitted at z = 1.04, 1.20, and 1.25, respectively. Finally, combining our results with other works, we estimate the energy budget contained in the CIB between 8 μm and 1000 μm: 26+7-3nW m-2sr-1. [ABSTRACT FROM AUTHOR]
Published: 2012
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15. The evolution of quiescent galaxies at high redshifts ( z≥ 1.4).

Author: Domínguez Sánchez, H., Pozzi, F., Gruppioni, C., Cimatti, A., Ilbert, O., Pozzetti, L., McCracken, H., Capak, P., Le Floch, E., Salvato, M., Zamorani, G., Carollo, C. M., Contini, T., Kneib, J.-P., Le Fèvre, O., Lilly, S. J., Mainieri, V., Renzini, A., Scodeggio, M., and Bardelli, S.
Subjects: GALACTIC evolution, REDSHIFT, WAVELENGTHS, MATHEMATICAL models, STAR formation, STELLAR mass, SIMULATION methods & models, ASTRONOMICAL photometry
Abstract: ABSTRACT The goal of this work is to study the evolution of high-redshift ( z≥ 1.4) quiescent galaxies over an effective area of ∼1.7 deg2 in the COSMOS field. Galaxies have been divided according to their star formation activity and the evolution of the different populations, in particular of the quiescent galaxies, has been investigated in detail. We have studied an IRAC ( mag 3.6 μm < 22.0) selected sample of ∼18 000 galaxies at z≥ 1.4 in the COSMOS field with multiwavelength coverage extending from the U band to the Spitzer 24 μm one. We have derived accurate photometric redshifts () through a SED-fitting procedure. Other important physical parameters [masses, ages and star formation rates (SFR)] of the galaxies have been obtained using Maraston models. We have divided our sample into actively star-forming, intermediate and quiescent galaxies depending on their specific star formation rate (SSFR = SFR/M). We have computed the galaxy stellar mass function (GSMF) of the total sample and the different populations at z= 1.4-3.0. We have studied the properties of high-redshift quiescent galaxies finding that they are old (1-4 Gyr), massive (〈 M〉∼ 1010.65 M⊙), weakly star-forming stellar populations with low dust extinction [ E( B− V) ≤ 0.15] and small e-folding time-scales (τ∼ 0.1-0.3 Gyr). We observe a significant evolution of the quiescent stellar mass function from 2.5 < z < 3.0 to 1.4 < z < 1.6, increasing by ∼1 dex in this redshift interval. We find that z∼ 1.5 is an epoch of transition of the GSMF: while the GSMF at z≳ 1.5 is dominated by the star-forming galaxies at all stellar masses, at z≲ 1.5 the contribution to the total GSMF of the quiescent galaxies is significant and becomes higher than that of the star-forming population for M≥ 1010.75 M⊙. The fraction of star-forming galaxies decreases from 60-20 per cent from z∼ 2.5-3.0 to 1.4-1.6 for M∼ 1011.0 M⊙, while the quiescent population increases from 10-50 per cent at the same redshift and mass intervals. We compare the fraction of quiescent galaxies derived with that predicted by theoretical models and find that the Kitzbichler & White model, implemented on the Millennium Simulation, is the one that better reproduces the shape of the data. Finally, we calculate the stellar mass density of the star-forming and quiescent populations as a function of redshift and find that there is already a significant number of quiescent galaxies at z > 2.5 (logρ[M⊙ Mpc−3]∼ 6), meaning that efficient star formation had to take place before that time. [ABSTRACT FROM AUTHOR]
Published: 2011
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16. The THESEUS space mission concept: science case, design and expected performances

Author: Martino Marisaldi, Enrico Bozzo, Valerie Connaughton, Dorottya Szécsi, D. Malesani, L. Maraschi, B. Cordier, P. D'Avanzo, Salvatore Capozziello, Darach Watson, C. Contini, Maryam Modjaz, Pierluigi Bellutti, M. de Pasquale, C. Guidorzi, Colleen A. Wilson-Hodge, O. Boulade, C. Adami, Y. Evangelista, A. Argan, Johan P. U. Fynbo, Y.-W. Dong, Poshak Gandhi, Allan Hornstrup, Eliana Palazzi, Andrea Bulgarelli, Andrea Comastri, E. Geza, Luciano Burderi, Giuseppe Malaguti, D. de Martino, Irfan Kuvvetli, S.-N. Zhang, Claudio Labanti, Fiamma Capitanio, Luca Izzo, Bradley Cenko, A. Melandri, Umberto Maio, Nicola Omodei, Stefano Ettori, C. Butler, S. D. Vergani, S. Zhang, Lajos G. Balázs, Patricia Schady, Federica B. Bianco, M. Branchesi, Jens Hjorth, Jochen Greiner, Felix Ryde, Jean-Gabriel Cuby, Piero Malcovati, Lorraine Hanlon, Peter G. Jonker, M. Della Valle, Elena Pian, Piotr Orleanski, Etienne Renotte, W. Skidmore, L. Sabau-Graziati, Mauro Dadina, Carl Budtz-Jørgensen, Tomaz Rodic, Giancarlo Ghirlanda, Luigi Piro, Sheila McBreen, M. Fiorini, M. Topinka, Jan Harms, Riccardo Ciolfi, Yi Chen, Giacomo Vianello, Ester Piedipalumbo, Zsolt Bagoly, Aniello Grado, Yuki Kaneko, Vito Sguera, B. Morelli, E. Le Floc'h, Luciano Rezzolla, K. Wiersema, Remo Ruffini, E. Del Monte, J. P. Osborne, M. G. Bernardini, A. Gomboc, A. De Luca, Stefano Covino, Ian Hutchinson, A. Antonelli, Enzo Brocato, Mark R. Sims, M. Razzano, Elisabetta Maiorano, Jean-Luc Atteia, J. Zicha, S. Korpela, Eros Vanzella, V. D'Elia, M. H. P. M. van Putten, Marco Feroci, Carole Mundell, A. V. Penacchioni, J. Soomin, Gabriele Ghisellini, Sandra Savaglio, N. Shigehiro, Andrea Santangelo, Antonio Martin-Carrillo, Avishay Gal-Yam, A. M. Read, Piergiorgio Casella, Giuseppe Baldazzi, B. Ciardi, Pawan Kumar, Li Song, V. Lebrun, G. Zampa, Daisuke Yonetoku, S. Vojtech, Gregor Rauw, Piero Rosati, A. J. Castro-Tirado, Bruce Gendre, Tsvi Piran, A. Rachevski, S. Basa, T. Li, Michela Uslenghi, Gianluca Morgante, Michèle Lavagna, Pascal Chardonnet, Andrew MacFadyen, Asaf Pe'er, Sandro Mereghetti, Alessandro Drago, M. Hafizi, Richard Willingale, D. Morris, Bing Zhang, Paolo Giommi, Andrea Ferrara, Mauro Orlandini, Maria Giovanna Dainotti, N. Masetti, Yuji Urata, Maxim Lyutikov, A. Vacchi, László L. Kiss, E. Campolongo, M. Boer, Lorenzo Amati, Diego Götz, Andrew Blain, M. T. Botticella, C. Tenzer, Monica Colpi, Victor Reglero, Roberto Mignani, Michael S. Briggs, Joseph Caruana, Elizabeth R. Stanway, S. Colafrancesco, Francesca Panessa, H. U. Nargaard-Nielsen, F. Lu, Giuseppe Bertuccio, A. Paizis, P. Romano, S. Vercellone, Luciano Nicastro, S. Paltani, G. Pareschi, G. Stratta, V. Petrosian, João Braga, N. Zampa, Nial Tanvir, James E. Rhoads, Raffaella Margutti, Luca Valenziano, Søren Brandt, S. Boci, Andrea Rossi, Paul J. Callanan, Annalisa Celotti, N. Kawai, René Hudec, Francesco Longo, Primo Attina, G. L. Israel, F. Fuschino, Fabio Finelli, M. Hernanz, Ruben Salvaterra, F. Frontera, P. T. O'Brien, Sergio Campana, Rupal Basak, Riccardo Campana, Eleonora Troja, Jordan Camp, Petr Páta, S. Piranomonte, G. Tagliaferri, Sylvain Guiriec, R. L. C. Starling, B. B. Zhang, Natalia Auricchio, Serena Vinciguerra, Département d'Astrophysique (ex SAP) (DAP), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Galaxies, Etoiles, Physique, Instrumentation (GEPI), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Astrophysique de Marseille (LAM), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), Institut de recherche en astrophysique et planétologie (IRAP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy-le-Vieux de Physique Théorique (LAPTH), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Astrophysique Relativiste Théories Expériences Métrologie Instrumentation Signaux (ARTEMIS), Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Agenzia Spaziale Italiana, European Commission, Czech Grant Agency, ITA, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), THESEUS, Amati, L, O'Brien, P, Götz, D, Bozzo, E, Tenzer, C, Frontera, F, Ghirlanda, G, Labanti, C, Osborne, J, Stratta, G, Tanvir, N, Willingale, R, Attina, P, Campana, R, Castro-Tirado, A, Contini, C, Fuschino, F, Gomboc, A, Hudec, R, Orleanski, P, Renotte, E, Rodic, T, Bagoly, Z, Blain, A, Callanan, P, Covino, S, Ferrara, A, Le Floch, E, Marisaldi, M, Mereghetti, S, Rosati, P, Vacchi, A, D'Avanzo, P, Giommi, P, Piranomonte, S, Piro, L, Reglero, V, Rossi, A, Santangelo, A, Salvaterra, R, Tagliaferri, G, Vergani, S, Vinciguerra, S, Briggs, M, Campolongo, E, Ciolfi, R, Connaughton, V, Cordier, B, Morelli, B, Orlandini, M, Adami, C, Argan, A, Atteia, J, Auricchio, N, Balazs, L, Baldazzi, G, Basa, S, Basak, R, Bellutti, P, Bernardini, M, Bertuccio, G, Braga, J, Branchesi, M, Brandt, S, Brocato, E, Budtz-Jorgensen, C, Bulgarelli, A, Burderi, L, Camp, J, Capozziello, S, Caruana, J, Casella, P, Cenko, B, Chardonnet, P, Ciardi, B, Colafrancesco, S, Dainotti, M, D'Elia, V, De Martino, D, De Pasquale, M, Del Monte, E, Della Valle, M, Drago, A, Evangelista, Y, Feroci, M, Finelli, F, Fiorini, M, Fynbo, J, Gal-Yam, A, Gendre, B, Ghisellini, G, Grado, A, Guidorzi, C, Hafizi, M, Hanlon, L, Hjorth, J, Izzo, L, Kiss, L, Kumar, P, Kuvvetli, I, Lavagna, M, Li, T, Longo, F, Lyutikov, M, Maio, U, Maiorano, E, Malcovati, P, Malesani, D, Margutti, R, Martin-Carrillo, A, Masetti, N, Mcbreen, S, Mignani, R, Morgante, G, Mundell, C, Nargaard-Nielsen, H, Nicastro, L, Palazzi, E, Paltani, S, Panessa, F, Pareschi, G, Pe'Er, A, Penacchioni, A, Pian, E, Piedipalumbo, E, Piran, T, Rauw, G, Razzano, M, Read, A, Rezzolla, L, Romano, P, Ruffini, R, Savaglio, S, Sguera, V, Schady, P, Skidmore, W, Song, L, Stanway, E, Starling, R, Topinka, M, Troja, E, van Putten, M, Vanzella, E, Vercellone, S, Wilson-Hodge, C, Yonetoku, D, Zampa, G, Zampa, N, Zhang, B, Zhang, S, Antonelli, A, Bianco, F, Boci, S, Boer, M, Botticella, M, Boulade, O, Butler, C, Campana, S, Capitanio, F, Celotti, A, Chen, Y, Colpi, M, Comastri, A, Cuby, J, Dadina, M, De Luca, A, Dong, Y, Ettori, S, Gandhi, P, Geza, E, Greiner, J, Guiriec, S, Harms, J, Hernanz, M, Hornstrup, A, Hutchinson, I, Israel, G, Jonker, P, Kaneko, Y, Kawai, N, Wiersema, K, Korpela, S, Lebrun, V, Lu, F, Macfadyen, A, Malaguti, G, Maraschi, L, Melandri, A, Modjaz, M, Morris, D, Omodei, N, Paizis, A, Páta, P, Petrosian, V, Rachevski, A, Rhoads, J, Ryde, F, Sabau-Graziati, L, Shigehiro, N, Sims, M, Soomin, J, Szécsi, D, Urata, Y, Uslenghi, M, Valenziano, L, Vianello, G, Vojtech, S, Watson, D, Zicha, J, Amati, L., O'Brien, P., Götz, D., Bozzo, E., Tenzer, C., Frontera, F., Ghirlanda, G., Labanti, C., Osborne, J. P., Stratta, G., Tanvir, N., Willingale, R., Attina, P., Campana, R., Castro-Tirado, A. J., Contini, C., Fuschino, F., Gomboc, A., Hudec, R., Orleanski, P., Renotte, E., Rodic, T., Bagoly, Z., Blain, A., Callanan, P., Covino, S., Ferrara, A., Le Floch, E., Marisaldi, M., Mereghetti, S., Rosati, P., Vacchi, A., D'Avanzo, P., Giommi, P., Piranomonte, S., Piro, L., Reglero, V., Rossi, A., Santangelo, A., Salvaterra, R., Tagliaferri, G., Vergani, S., Vinciguerra, S., Briggs, M., Campolongo, E., Ciolfi, R., Connaughton, V., Cordier, B., Morelli, B., Orlandini, M., Adami, C., Argan, A., Atteia, J. -L., Auricchio, N., Balazs, L., Baldazzi, G., Basa, S., Basak, R., Gian Luca, Israel, Bellutti, P., Bernardini, M. G., Bertuccio, G., Braga, J., Branchesi, M., Brandt, S., Brocato, E., Budtz-Jorgensen, C., Bulgarelli, A., Burderi, L., Camp, J., Capozziello, S., Caruana, J., Casella, P., Cenko, B., Chardonnet, P., Ciardi, B., Colafrancesco, S., Dainotti, M. G., D'Elia, V., De Martino, D., De Pasquale, M., Del Monte, E., Della Valle, M., Drago, A., Evangelista, Y., Feroci, M., Finelli, F., Fiorini, M., Fynbo, J., Gal-Yam, A., Gendre, B., Ghisellini, G., Grado, A., Guidorzi, C., Hafizi, M., Hanlon, L., Hjorth, J., Izzo, L., Kiss, L., Kumar, P., Kuvvetli, I., Lavagna, M., Li, T., Longo, F., Lyutikov, M., Maio, U., Maiorano, E., Malcovati, P., Malesani, D., Margutti, R., Martin-Carrillo, A., Masetti, N., Mcbreen, S., Mignani, R., Morgante, G., Mundell, C., Nargaard-Nielsen, H. U., Nicastro, L., Palazzi, E., Paltani, S., Panessa, F., Pareschi, G., Pe'Er, A., Penacchioni, A. V., Pian, E., Piedipalumbo, E., Piran, T., Rauw, G., Razzano, M., Read, A., Rezzolla, L., Romano, P., Ruffini, R., Savaglio, S., Sguera, V., Schady, P., Skidmore, W., Song, L., Stanway, E., Starling, R., Topinka, M., Troja, E., van Putten, M., Vanzella, E., Vercellone, S., Wilson-Hodge, C., Yonetoku, D., Zampa, G., Zampa, N., Zhang, B., Zhang, B. B., Zhang, S., Zhang, S. -N., Antonelli, A., Bianco, F., Boci, S., Boer, M., Botticella, M. T., Boulade, O., Butler, C., Campana, S., Capitanio, F., Celotti, A., Chen, Y., Colpi, M., Comastri, A., Cuby, J. -G., Dadina, M., De Luca, A., Dong, Y. -W., Ettori, S., Gandhi, P., Geza, E., Greiner, J., Guiriec, S., Harms, J., Hernanz, M., Hornstrup, A., Hutchinson, I., Israel, G., Jonker, P., Kaneko, Y., Kawai, N., Wiersema, K., Korpela, S., Lebrun, V., Lu, F., Macfadyen, A., Malaguti, G., Maraschi, L., Melandri, A., Modjaz, M., Morris, D., Omodei, N., Paizis, A., Páta, P., Petrosian, V., Rachevski, A., Rhoads, J., Ryde, F., Sabau-Graziati, L., Shigehiro, N., Sims, M., Soomin, J., Szécsi, D., Urata, Y., Uslenghi, M., Valenziano, L., Vianello, G., Vojtech, S., Watson, D., Zicha, J., Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), ANR-16-CE31-0003,BEaPro,Using the most powerful explosion as probes of the high-redshift Universe(2016), Galaxies, Etoiles, Physique, Instrumentation ( GEPI ), Institut national des sciences de l'Univers ( INSU - CNRS ) -Observatoire de Paris-Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Astrophysique de Marseille ( LAM ), Aix Marseille Université ( AMU ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National d'Etudes Spatiales ( CNES ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de recherche en astrophysique et planétologie ( IRAP ), Université Paul Sabatier - Toulouse 3 ( UPS ) -Observatoire Midi-Pyrénées ( OMP ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Annecy-le-Vieux de Physique Théorique ( LAPTH ), Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Centre National de la Recherche Scientifique ( CNRS ), Astrophysique Relativiste Théories Expériences Métrologie Instrumentation Signaux ( ARTEMIS ), Université Nice Sophia Antipolis ( UNS ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Observatoire de la Côte d'Azur, Université Côte d'Azur ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ), Gotz, D., Pata, P., Szecsi, D., Department of Physics, and Amati, L. and O'Brien, P. and Götz, D. and Bozzo, E. and Tenzer, C. and Frontera, F. and Ghirlanda, G. and Labanti, C. and Osborne, J.P. and Stratta, G. and Tanvir, N. and Willingale, R. and Attina, P. and Campana, R. and Castro-Tirado, A.J. and Contini, C. and Fuschino, F. and Gomboc, A. and Hudec, R. and Orleanski, P. and Renotte, E. and Rodic, T. and Bagoly, Z. and Blain, A. and Callanan, P. and Covino, S. and Ferrara, A. and Le Floch, E. and Marisaldi, M. and Mereghetti, S. and Rosati, P. and Vacchi, A. and D'Avanzo, P. and Giommi, P. and Piranomonte, S. and Piro, L. and Reglero, V. and Rossi, A. and Santangelo, A. and Salvaterra, R. and Tagliaferri, G. and Vergani, S. and Vinciguerra, S. and Briggs, M. and Campolongo, E. and Ciolfi, R. and Connaughton, V. and Cordier, B. and Morelli, B. and Orlandini, M. and Adami, C. and Argan, A. and Atteia, J.-L. and Auricchio, N. and Balazs, L. and Baldazzi, G. and Basa, S. and Basak, R. and Bellutti, P. and Bernardini, M.G. and Bertuccio, G. and Braga, J. and Branchesi, M. and Brandt, S. and Brocato, E. and Budtz-Jorgensen, C. and Bulgarelli, A. and Burderi, L. and Camp, J. and Capozziello, S. and Caruana, J. and Casella, P. and Cenko, B. and Chardonnet, P. and Ciardi, B. and Colafrancesco, S. and Dainotti, M.G. and D'Elia, V. and De Martino, D. and De Pasquale, M. and Del Monte, E. and Della Valle, M. and Drago, A. and Evangelista, Y. and Feroci, M. and Finelli, F. and Fiorini, M. and Fynbo, J. and Gal-Yam, A. and Gendre, B. and Ghisellini, G. and Grado, A. and Guidorzi, C. and Hafizi, M. and Hanlon, L. and Hjorth, J. and Izzo, L. and Kiss, L. and Kumar, P. and Kuvvetli, I. and Lavagna, M. and Li, T. and Longo, F. and Lyutikov, M. and Maio, U. and Maiorano, E. and Malcovati, P. and Malesani, D. and Margutti, R. and Martin-Carrillo, A. and Masetti, N. and McBreen, S. and Mignani, R. and Morgante, G. and Mundell, C. and Nargaard-Nielsen, H.U. and Nicastro, L. and Palazzi, E. and Paltani, S. and Panessa, F. and Pareschi, G. and Pe'er, A. and Penacchioni, A.V. and Pian, E. and Piedipalumbo, E. and Piran, T. and Rauw, G. and Razzano, M. and Read, A. and Rezzolla, L. and Romano, P. and Ruffini, R. and Savaglio, S. and Sguera, V. and Schady, P. and Skidmore, W. and Song, L. and Stanway, E. and Starling, R. and Topinka, M. and Troja, E. and van Putten, M. and Vanzella, E. and Vercellone, S. and Wilson-Hodge, C. and Yonetoku, D. and Zampa, G. and Zampa, N. and Zhang, B. and Zhang, B.B. and Zhang, S. and Zhang, S.-N. and Antonelli, A. and Bianco, F. and Boci, S. and Boer, M. and Botticella, M.T. and Boulade, O. and Butler, C. and Campana, S. and Capitanio, F. and Celotti, A. and Chen, Y. and Colpi, M. and Comastri, A. and Cuby, J.-G. and Dadina, M. and De Luca, A. and Dong, Y.-W. and Ettori, S. and Gandhi, P. and Geza, E. and Greiner, J. and Guiriec, S. and Harms, J. and Hernanz, M. and Hornstrup, A. and Hutchinson, I. and Israel, G. and Jonker, P. and Kaneko, Y. and Kawai, N. and Wiersema, K. and Korpela, S. and Lebrun, V. and Lu, F. and MacFadyen, A. and Malaguti, G. and Maraschi, L. and Melandri, A. and Modjaz, M. and Morris, D. and Omodei, N. and Paizis, A. and Páta, P. and Petrosian, V. and Rachevski, A. and Rhoads, J. and Ryde, F. and Sabau-Graziati, L. and Shigehiro, N. and Sims, M. and Soomin, J. and Szécsi, D. and Urata, Y. and Uslenghi, M. and Valenziano, L. and Vianello, G. and Vojtech, S. and Watson, D. and Zicha, J.
Subjects: Ionization, Atmospheric Science, cosmological model, Cherenkov Telescope Array, [ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph], Astronomy, Dark age, MASSIVE SINGLE STARS, Star formation rates, Gamma ray, 01 natural sciences, Cosmology: observation, localization, law.invention, Astrophysic, Einstein Telescope, observational cosmology, law, Observational cosmology, Re-ionization, Cosmology: observations, Dark ages, First stars, Gamma-ray: bursts, LIGO, observations [Cosmology], Telescope, 010303 astronomy & astrophysics, High sensitivity, High Energy Astrophysical Phenomena (astro-ph.HE), Physics, Multi-wavelength, energy: high, sezele, gamma-ray bursts, Aerospace Engineering, Space and Planetary Science, Astrophysics::Instrumentation and Methods for Astrophysics, imaging, star: formation, burst [Gamma-ray], observatory, Geophysics, X rays, Cosmology: observation, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena, signature, Star, TIDAL DISRUPTION, Gamma-ray: burst, Astrophysics::High Energy Astrophysical Phenomena, SIMILAR-TO 6, Socio-culturale, FOS: Physical sciences, observation [Cosmology], galaxy: luminosity, X-ray astronomy: instrumentation, 7 CANDIDATE GALAXIES, Astrophysics::Cosmology and Extragalactic Astrophysics, gamma ray: burst, 114 Physical sciences, Settore FIS/03 - Fisica della Materia, X-ray, bursts [Gamma-ray], FIS/05 - ASTRONOMIA E ASTROFISICA, Settore FIS/05 - Astronomia e Astrofisica, First star, 0103 physical sciences, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], KAGRA, Instrumentation and Methods for Astrophysics (astro-ph.IM), Astrophysics::Galaxy Astrophysics, LIGHT CURVES, 010308 nuclear & particles physics, Gravitational wave, gravitational radiation, Astronomy and Astrophysics, 115 Astronomy, Space science, redshift, sensitivity, Redshift, NEUTRON-STAR MERGER, messenger, VIRGO, electromagnetic, LUMINOSITY FUNCTION, BLACK-HOLE, General Earth and Planetary Sciences, Gamma-ray burst, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Abstract: THESEUS is a space mission concept aimed at exploiting Gamma-Ray Bursts for investigating the early Universe and at providing a substantial advancement of multi-messenger and time-domain astrophysics. These goals will be achieved through a unique combination of instruments allowing GRB and X-ray transient detection over a broad field of view (more than 1sr) with 0.5¿1 arcmin localization, an energy band extending from several MeV down to 0.3¿keV and high sensitivity to transient sources in the soft X-ray domain, as well as on-board prompt (few minutes) follow-up with a 0.7¿m class IR telescope with both imaging and spectroscopic capabilities. THESEUS will be perfectly suited for addressing the main open issues in cosmology such as, e.g., star formation rate and metallicity evolution of the inter-stellar and intra-galactic medium up to redshift 10, signatures of Pop III stars, sources and physics of re-ionization, and the faint end of the galaxy luminosity function. In addition, it will provide unprecedented capability to monitor the X-ray variable sky, thus detecting, localizing, and identifying the electromagnetic counterparts to sources of gravitational radiation, which may be routinely detected in the late ¿20s/early ¿30s by next generation facilities like aLIGO/ aVirgo, eLISA, KAGRA, and Einstein Telescope. THESEUS will also provide powerful synergies with the next generation of multi-wavelength observatories (e.g., LSST, ELT, SKA, CTA, ATHENA).© 2018 COSPAR, S.E. acknowledges the financial support from contracts ASI-INAF 1/009/10/0, NARO15 ASI-INAF 1/037/12/0 and ASI 2015-046-R.0. R.H. acknowledges GACR grant 13-33324S. S.V. research leading to these results has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no 606176. D.S. was supported by the Czech grant 1601116S GA CR. Maria Giovanna Dainotti acknowledges funding from the European Union through the Marie Curie Action FP7-PEOPLE-2013-IOF, under grant agreement No. 626267 (>Cosmological Candles>).
Published: 2018
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17. Weak Association Between Genetic Markers of Hyperuricemia and Cardiorenal Outcomes: Insights From the STANISLAS Study Cohort With a 20‐Year Follow‐Up

Author: Mehmet Kanbay, Constance Xhaard, Edith Le Floch, Claire Dandine‐Roulland, Nicolas Girerd, João Pedro Ferreira, Jean‐Marc Boivin, Sandra Wagner, Delphine Bacq‐Daian, Jean‐François Deleuze, Faiez Zannad, Patrick Rossignol, Koç University, Défaillance Cardiovasculaire Aiguë et Chronique (DCAC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Centre d'investigation clinique plurithématique Pierre Drouin [Nancy] (CIC-P), Centre d'investigation clinique [Nancy] (CIC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Cardiovascular and Renal Clinical Trialists [Vandoeuvre-les-Nancy] (INI-CRCT), Institut Lorrain du Coeur et des Vaisseaux Louis Mathieu [Nancy], French-Clinical Research Infrastructure Network - F-CRIN [Paris] (Cardiovascular & Renal Clinical Trialists - CRCT ), Centre National de Recherche en Génomique Humaine (CNRGH), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Institut de Biologie François JACOB (JACOB), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), The STANISLAS (Suivi Temporaire Annuel Non‐Invasif de la Santé des Lorrains Assurés Sociaux) study is sponsored by the Nancy Centre Hospitalier Régional Universitaire. This work is supported by the French Ministry of Health 'Programme Hospitalier de Recherche Clinique Inter regional 2013,' by the Contrat de Plan Etat‐Lorraine and Fonds Européen de Développement Régional Lorraine, and a public grant overseen by the French National Research Agency (ANR) as part of the second 'Investissements d’Avenir' program FIGHT‐heart failure (reference: ANR‐15‐RHU‐0004) and by the French Plan d'Investissement d'Avenir project 'Lorraine Université d’Excellence,' reference ANR‐15‐IDEX‐04‐LUE. It is also supported by the European Fibro‐Targets Project (grant agreement No. SP7#602904), European HOMAGE project (grant agreement No. Heart 'Omics' in Ageing, 7th Framework Program grant No. 305507), the MEDIA project (Européen 'Cooperation'–Theme 'Health'/FP7‐HEALTH‐2010‐single‐stage (reference: 261409), FOCUS‐MR (reference: ANR‐15‐CE14‐0032‐01), ERA‐CVD EXPERT (reference: ANR‐16‐ECVD‐0002‐02), and the Fondation de Recherche en Hypertension Artérielle., ANR-15-RHUS-0004,FIGHT-HF,Combattre l'insuffisance cardiaque(2015), ANR-15-IDEX-0004,LUE,Isite LUE(2015), ANR-15-CE14-0032,MR-focus,Régulation, Diagnostique et Thérapeutique ciblée du récepteur minéralocorticoïde dans le remodelage cardiaque(2015), ANR-16-ECVD-0002,EXPERT,Exploring new pathways in age-related heart diseases(2016), European Project: SP7#602904, European Project: 305507, European Project: 261409,EU FP 7 MEDIA project, Université de Lorraine (UL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM), BOZEC, Erwan, Combattre l'insuffisance cardiaque - - FIGHT-HF2015 - ANR-15-RHUS-0004 - RHUS - VALID, ISITE - Isite LUE - - LUE2015 - ANR-15-IDEX-0004 - IDEX - VALID, Régulation, Diagnostique et Thérapeutique ciblée du récepteur minéralocorticoïde dans le remodelage cardiaque - - MR-focus2015 - ANR-15-CE14-0032 - AAPG2015 - VALID, Exploring new pathways in age-related heart diseases - - EXPERT2016 - ANR-16-ECVD-0002 - ERA-CVD - VALID, European Fibro‐Targets Project - SP7#602904 - INCOMING, HOMAGE (Heart Omics in Ageing consortium) - 305507 - INCOMING, The MEtabolic Road to DIAstolic Heart Failure - EU FP 7 MEDIA project - 261409 - INCOMING, Kanbay, Mehmet (ORCID 0000-0002-1297-0675 & YÖK ID 110580), Xhaard, C., Le Floch, E., Dandine-Roulland, C., Girerd, N., Ferreira, J.P., Boivin, J.M., Wagner, S., Bacq Daian, D., Deleuze, J.F., Zannad, F., Rossignol, P., and School of Medicine
Subjects: Genetic Markers, Glucose Transport Proteins, Facilitative, Hyperuricemia, Cardiovascular system and cardiology, Blood Pressure Monitoring, Ambulatory, Pulse Wave Analysis, Carotid Intima-Media Thickness, Polymorphism, Single Nucleotide, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Uric Acid, Cardiovascular disease, Genome-wide, Association study, Single-nucleotide Polymorphism, Uric acid, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Risk Factors, Humans, Cardiology and Cardiovascular Medicine, Follow-Up Studies, Genome-Wide Association Study
Abstract: Background: Hyperuricemia is associated with poor cardiovascular outcomes, although it is uncertain whether this relationship is causal in nature. This study aimed to: (1) assess the heritability of serum uric acid (SUA) levels, (2) conduct a genome-wide association study on SUA levels, and (3) investigate the association between certain single-nucleotide polymorphisms and target organ damage. Methods and results: the STANISLAS (Suivi Temporaire Annuel Non-Invasif de la Sante des Lorrains Assures Sociaux) study cohort is a single-center longitudinal cohort recruited between 1993 and 1995 (visit 1), with a last visit (visit 4 [V4]) performed approximate to 20 years apart. Serum lipid profile, SUA, urinary albumin/creatinine ratio, estimated glomerular filtration rate, 24-hour ambulatory blood pressure monitoring, transthoracic echocardiography, pulse wave velocity, and genotyping for each participant were assessed at V4. A total of 1573 participants were included at V4, among whom 1417 had available SUA data at visit 1. Genome-wide association study results highlighted multiple single-nucleotide polymorphisms on the SLC2A9 gene linked to SUA levels. Carriers of the most associated mutated SLC2A9 allele (rs16890979) had significantly lower SUA levels. Although SUA level at V4 was highly associated with diabetes, prediabetes, higher body mass index, CRP (C-reactive protein) levels, estimated glomerular filtration rate variation (visit 1-V4), carotid intima-media thickness, and pulse wave velocity, rs16890979 was only associated with higher carotid intima-media thickness. Conclusions: our findings demonstrate that rs16890979, a genetic determinant of SUA levels located on the SLC2A9 gene, is associated with carotid intima-media thickness despite significant associations between SUA levels and several clinical outcomes, thereby lending support to the hypothesis of a link between SUA and cardiovascular disease., Nancy Centre Hospitalier Regional Universitaire; French Ministry of Health; French National Research Agency (ANR); Contrat de Plan Etat?Lorraine and Fonds Européen de Développement Régional Lorraine; Programme Hospitalier de Recherche Clinique Inter regional 2013; Investissements d’Avenir; FIGHT?heart failure; French Plan d'Investissement d'Avenir project “Lorraine Université d’Excellence; European Union (EU); European Fibro?Targets Project; European HOMAGE project; 7th Framework Program; MEDIA project; FOCUS?MR; ERA?CVD EXPERT; Fondation de Recherche en Hypertension Artérielle
Published: 2022
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18. Non-linearity and environmental dependence of the star-forming galaxies main sequence

Author: Paola Popesso, F. Ziparo, Jeffrey A. Newman, G. Erfanianfar, N. Brandt, Andrea Biviano, S. Berta, H. Aussel, Albrecht Poglitsch, D. Wilman, M. Mirkazemi, Francesca Pozzi, Benjamin Magnelli, Mark Dickinson, Raanan Nordon, E. Le Floc'h, Kirpal Nandra, O. Ilbert, D. Fadda, D. Elbaz, Alexis Finoguenov, Andrea Cimatti, John S. Mulchaey, M. C. Cooper, R. M. Bielby, Nico Cappelluti, Masaomi Tanaka, L. Morselli, Dieter Lutz, Mara Salvato, Franz E. Bauer, M. B. Altieri, Stijn Wuyts, Max-Planck-Institut für Extraterrestrische Physik (MPE), Excellence Cluster Universe, excellence cluster centre, INAF - Osservatorio Astronomico di Trieste (OAT), Istituto Nazionale di Astrofisica (INAF), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), National Optical Astronomy Observatory (NOAO), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Durham University, INAF - Osservatorio Astronomico di Bologna (OABO), AUTRES, Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), University of Bologna/Università di Bologna, Erfanianfar, G., Popesso, P., Finoguenov, A., Wilman, D., Wuyts, S., Biviano, A., Salvato, M., Mirkazemi, M., Morselli, L., Ziparo, F., Nandra, K., Lutz, D., Elbaz, D., Dickinson, M., Tanaka, M., Altieri, M.B., Aussel, H., Bauer, F., Berta, S., Bielby, R.M., Brandt, N., Cappelluti, N., Cimatti, A., Cooper, M.C., Fadda, D., Ilbert, O., Le Floch, E., Magnelli, B., Mulchaey, J.S., Nordon, R., Newman, J.A., Poglitsch, A., Pozzi, F., Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), University of Bologna, and NOAO
Subjects: Infrared: galaxie, haloes [Galaxies], FOS: Physical sciences, Astrophysics, Galaxies: groups: general, Astrophysics::Cosmology and Extragalactic Astrophysics, star formation [Galaxies], 01 natural sciences, evolution [Galaxy], Peculiar galaxy, galaxies [Infrared], Galaxy group, 0103 physical sciences, Disc, Galaxies: haloe, 010303 astronomy & astrophysics, Lenticular galaxy, Galaxy: structure, Galaxy cluster, Astrophysics::Galaxy Astrophysics, Luminous infrared galaxy, Physics, Galaxy: evolution, Galaxies: star formation, 010308 nuclear & particles physics, Astronomy, Astronomy and Astrophysics, Quasar, Astronomy and Astrophysic, Astrophysics - Astrophysics of Galaxies, groups: general [Galaxies], 13. Climate action, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), Elliptical galaxy, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], structure [Galaxy]
Abstract: Using data from four deep fields (COSMOS, AEGIS, ECDFS, and CDFN), we study the correlation between the position of galaxies in the star formation rate (SFR) versus stellar mass plane and local environment at $z10^{10.4-10.6}$ $M_{\odot}$), across all environments. At high redshift ( $0.5, Comment: 14 pages, 14 figures, accepted for publication in MNRAS
Published: 2016
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19. The evolution of galaxy star formation activity in massive haloes

Author: D. Lutz, H. Aussel, Andrea Biviano, E. Le Floc'h, D. Fadda, G. Rodighiero, C. K. Xu, Albrecht Poglitsch, Mara Salvato, Benjamin Magnelli, D. Elbaz, A. Finoguenov, F. Ziparo, Carlotta Gruppioni, Mark Dickinson, P. Popesso, O. Ilbert, Raanan Nordon, D. Wilman, S. Berta, Francesca Pozzi, Bruno Altieri, A. Cimatti, Popesso, P., Biviano, A., Finoguenov, A., Wilman, D., Salvato, M., Magnelli, B., Gruppioni, C., Pozzi, F., Rodighiero, G., Ziparo, F., Berta, S., Elbaz, D., Dickinson, M., Lutz, D., Altieri, B., Aussel, H., Cimatti, A., Fadda, D., Ilbert, O., Le Floch, E., Nordon, R., Poglitsch, A., Xu, C.K., Max-Planck-Institut für Extraterrestrische Physik (MPE), Excellence Cluster Universe, excellence cluster centre, Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), and Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), evolution-galaxie, media_common.quotation_subject, groups, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Galaxie, galaxies: groups: general, Active phase, general-galaxie, 0103 physical sciences, Astrophysics::Solar and Stellar Astrophysics, group, clusters, luminosity function, cluster, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, mass function-galaxie, media_common, Physics, COSMIC cancer database, evolution-galaxies, 010308 nuclear & particles physics, Star formation, mass function-galaxies, Astronomy and Astrophysics, Astronomy and Astrophysic, Galaxies, Astrophysics - Astrophysics of Galaxies, Universe, Galaxy, Redshift, general-galaxies, galaxies: luminosity function, galaxies: clusters: general, mass function, general, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), Halo, Astrophysics::Earth and Planetary Astrophysics, Low Mass, galaxies: evolution, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: There is now a large consensus that the current epoch of the Cosmic Star Formation History (CSFH) is dominated by low mass galaxies while the most active phase at 1~1, the most IR-luminous galaxies (LIRGs and ULIRGs) are preferentially located in groups, and this is consistent with a reversal of the star-formation rate vs .density anti-correlation observed in the nearby Universe. At these redshifts, group galaxies contribute 60-80% of the CSFH, i.e. much more than at lower redshifts. Below z~1, the comoving number and SFR densities of IR-emitting galaxies in groups decline significantly faster than those of all IR-emitting galaxies. Our results are consistent with a "halo downsizing" scenario and highlight the significant role of "environment" quenching in shaping the CSFH., Comment: 14 pages, 10 figures, accepted for publication by A&A
Published: 2015
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20. A multiwavelength consensus on the main sequence of star-forming galaxies at z ~ 2

Author: H. Dominguez Sanchez, Benjamin Magnelli, P. Andreani, Ivano Baronchelli, G. Zamorani, Francesca Pozzi, Carlotta Gruppioni, P. Santini, Dieter Lutz, Giulia Rodighiero, Giovanni Cresci, Alberto Franceschini, E. Daddi, Daichi Kashino, C. Mancini, P. Popesso, E. Le Floc'h, S. Berta, Andrea Cimatti, John D. Silverman, Alvio Renzini, Rodighiero, G, Renzini, A., Daddi, E., Baronchelli, I., Berta, S., Cresci, G., Franceschini, A., Gruppioni, C., Lutz, D., Mancini, C., Santini, P., Zamorani, G., Silverman, J., Kashino, D., Andreani, P., Cimatti, A., Domínguez Sánchez, H., Le Floch, E., Magnelli, B., Popesso, P., and Pozzi, F.
Subjects: Astrofísica, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Infrared: galaxie, Radio galaxy, Population, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Disc galaxy, 01 natural sciences, Cosmology: observation, Luminosity, 0103 physical sciences, Astrophysics::Solar and Stellar Astrophysics, education, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, Luminous infrared galaxy, Physics, education.field_of_study, 010308 nuclear & particles physics, Star formation, Astronomy, Galaxies: evolution, Astronomy and Astrophysics, Galaxies: active, Astrophysics - Astrophysics of Galaxies, Galaxy, Astronomía, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), Elliptical galaxy, Astrophysics::Earth and Planetary Astrophysics, Galaxies: starburst, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We compare various star formation rate (SFR) indicators for star-forming galaxies at $1.4, Comment: Accepted for publication in MNRAS
Published: 2014

21. The role of massive halos in the Star Formation History of the Universe

Author: David Elbaz, Alexis Finoguenov, S. Berta, D. Wilman, Paola Popesso, F. Ziparo, Andrea Cimatti, Dario Fadda, Bruno Altieri, Francesca Pozzi, Shy Genel, Giulia Rodighiero, Olivier Ilbert, Mark Dickinson, Carlotta Gruppioni, E. Le Floc'h, Herve Aussel, Albrecht Poglitsch, Benjamin Magnelli, Raanan Nordon, Chun Xu, Andrea Biviano, Dieter Lutz, Mara Salvato, Excellence Cluster Universe, Technische Universität München [München] (TUM), Max-Planck-Institut für Extraterrestrische Physik (MPE), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Popesso, P., Biviano, A., Finoguenov, A., Wilman, D., Salvato, M., Magnelli, B., Gruppioni, C., Pozzi, F., Rodighiero, G., Ziparo, F., Berta, S., Elbaz, D., Dickinson, M., Lutz, D., Altieri, B., Aussel, H., Cimatti, A., Fadda, D., Ilbert, O., Le Floch, E., Nordon, R., Poglitsch, A., Genel, S., Xu, C.K., Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Physics, Structure formation, Galaxies: star formation, Star formation, FOS: Physical sciences, Galaxies: evolution, Astronomy and Astrophysics, Galaxies: groups: general, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Astronomy and Astrophysic, Billion years, Astrophysics - Astrophysics of Galaxies, Redshift, Accretion (astrophysics), Galaxy, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), Halo, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Low Mass, Astrophysics::Galaxy Astrophysics
Abstract: The most striking feature of the Cosmic Star Formation History (CSFH) of the Universe is a dramatic drop of the star formation (SF) activity, since z~1. In this work we investigate if the very same process of assembly and growth of structures is one of the major drivers of the observed decline. We study the contribution to the CSFH of galaxies in halos of different masses. This is done by studying the total SFR-halo mass-redshift plane from redshift 0 to redshift z~1.6 in a sample of 57 groups and clusters by using the deepest available mid- and far-infrared surveys conducted with Spitzer MIPS and Herschel PACS and SPIRE. Our results show that low mass groups provide a 60-80% contribution to the CSFH at z~1. Such contribution declines faster than the CSFH in the last 8 billion years to less than 10% at z50%) of very massive, highly star forming Main Sequence galaxies. Below z~1 a quenching process must take place in massive halos to cause the observed faster suppression of their SF activity. Such process must be a slow one though, as most of the models implementing a rapid quenching of the SF activity in accreting satellites significantly underpredicts the observed SF level in massive halos at any redshift. Starvation or the transition from cold to hot accretion would provide a quenching timescale of 1 Gyrs more consistent with the observations. Our results suggest a scenario in which, due to the structure formation process, more and more galaxies experience the group environment and, thus, the associated quenching process. This leads to the progressive suppression of their SF activity shaping the CSFH below z~1., 18 pages, 21 figures, accepted for publication by A&A
Published: 2014
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22. The Mean Star Formation Rate of X-ray selected Active Galaxies and its Evolution from z=2.5: Results from PEP-Herschel

Author: Albrecht Poglitsch, David Elbaz, David M. Alexander, David J. Rosario, Stijn Wuyts, Marcella Brusa, Reinhard Genzel, Adriano Fontana, J. Cepa, Bruno Altieri, V. Mainieri, Linda J. Tacconi, W. N. Brandt, Herve Aussel, L. Riguccini, Francesca Pozzi, Thomas J. Cox, N. M. Förster Schreiber, Paola Popesso, Roberto Maiolino, Raanan Nordon, Mara Salvato, Franz E. Bauer, E. Sturm, P. Santini, Benjamin Magnelli, Andrea Cimatti, Giulia Rodighiero, E. Daddi, E. Le Floc'h, Dieter Lutz, Hagai Netzer, Ángel Bongiovanni, Paola Andreani, Ivan Valtchanov, S. Berta, Lijing Shao, I. Pérez Garcia, Andrea Grazian, Miguel Sánchez-Portal, Rosario D., Santini P., Lutz D., Shao L., Maiolino R., Alexander D. M., Altieri B., Andreani P., Aussel H., Bauer F. E., Berta S., Bongiovanni A., Brandt W. N., Brusa M., Cepa J., Cimatti A., Cox T. J., Daddi E., Elbaz D., Fontana A., Förster Schreiber N. M., Genzel R., Grazian A., Le Floch E., Magnelli B., Mainieri V., Netzer H., Nordon R., Pérez Garcia I., Poglitsch A., Popesso P., Pozzi F., Riguccini L., Rodighiero G., Salvato M., Sanchez-Portal M., Sturm E., Tacconi L. J., Valtchanov I., and Wuyts S.
Subjects: Physics, Active galactic nucleus, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Star formation, Astrophysics::High Energy Astrophysical Phenomena, galaxies: active, infrared: galaxie, FOS: Physical sciences, Astronomy and Astrophysics, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Accretion (astrophysics), Galaxy, Uncorrelated, Redshift, Luminosity, X-rays: galaxies, Orders of magnitude (time), Space and Planetary Science, galaxies: star formation, Astrophysics::Solar and Stellar Astrophysics, Astrophysics::Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: (Abridged) We study relationships between the SFR and the nuclear properties of X-ray selected AGNs out to z=2.5, using far-IR data in three extragalactic deep fields as part of the PACS Evolutionary Probe (PEP) program. Guided by studies of intrinsic infra-red AGN SEDs, we show that the majority of the FIR emission in AGNs is produced by cold dust heated by star-formation. We uncover characteristic redshift-dependent trends between the mean FIR luminosity (L_fir) and accretion luminosity (L_agn) of AGNs. At low AGN luminosities, accretion and SFR are uncorrelated at all redshifts, consistent with a scenario where most low-luminosity AGNs are primarily fueled by secular processes in their host galaxies. At high AGN luminosities, a significant correlation is observed between L_fir and L_agn, but only among AGNs at low and moderate redshifts (z1). This suggests that the role of mergers in SMBH-galaxy co-evolution is less important at these epochs. At all redshifts, we find essentially no relationship between L_fir and nuclear obscuration across five orders of magnitude in obscuring column density, suggesting that various different mechanisms are likely to be responsible for obscuring X-rays in active galaxies. We explain our results within a scenario in which two different modes of SMBH fueling operate among low- and high-luminosity AGNs. We postulate, guided by emerging knowledge about the properties of high redshift galaxies, that the dominant mode of accretion among high-luminosity AGNs evolves with redshift., 18 pages, 9 figures, 3 tables
Published: 2012

23. The lesser role of starbursts in star formation at $z=2$

Author: P. Andreani, P. Santini, Georgios E. Magdis, E. Le Floc'h, G. Rodighiero, Roberto Maiolino, Alvio Renzini, M. Magliocchetti, Ivano Baronchelli, Alberto Franceschini, Adriano Fontana, Antonio Cava, L. Riguccini, Linda J. Tacconi, Francesca Pozzi, Dieter Lutz, P. Popesso, Stijn Wuyts, S. Berta, G. Zamorani, E. Daddi, Albrecht Poglitsch, A. Grazian, O. Ilbert, Carlotta Gruppioni, Anna Feltre, Raanan Nordon, N. M. Förster Schreiber, Benjamin Magnelli, H. Aussel, D. Elbaz, H. J. McCracken, Reinhard Genzel, A. Cimatti, Dipartimento di Astronomia [Padova], Università degli Studi di Padova = University of Padua (Unipd), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Dipartimento di Fisica e Astronomia [Bologna], Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Max-Planck-Institut für Extraterrestrische Physik (MPE), European Southern Observatory (ESO), Departamento de Astrofisica [Madrid], Centro de Astrobiologia [Madrid] (CAB), Instituto Nacional de Técnica Aeroespacial (INTA)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC)-Instituto Nacional de Técnica Aeroespacial (INTA)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Max Planck Institute for Extraterrestrial Physics (MPE), Max-Planck-Gesellschaft, Dipartimento di Fisica [Povo], Università degli Studi di Trento (UNITN), INAF - Osservatorio Astronomico di Roma (OAR), Istituto Nazionale di Astrofisica (INAF), Istituto di Astrofisica Spaziale e Fisica cosmica - Bologna (IASF-Bo), Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Istituto di Astrofisica Spaziale e Fisica cosmica - Roma (IASF-Roma), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), ANR-08-JCJC-0008,UPGAL(2008), European Project: 240039,EC:FP7:ERC,ERC-2009-StG,UPGAL(2009), Universita degli Studi di Padova, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Rodighiero G., Daddi E., Baronchelli I., Cimatti A., Renzini A., Aussel H., Popesso P., Lutz D., Andreani P., Berta S., Cava A., Elbaz D., Feltre A., Fontana A., Förster Schreiber N. M., Franceschini A., Genzel R., Grazian A., Gruppioni C., Ilbert O., Le Floch E., Magdis G., Magliocchetti M., Magnelli B., Maiolino R., McCracken H., Nordon R., Poglitsch A., Santini P., Pozzi F., Riguccini L., Tacconi L. J., Wuyts S., Zamorani G., Dipartimento di Astronomia, Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Università di Bologna [Bologna] (UNIBO), Departamento de Astrofisica, Universidad Complutense de Madrid [Madrid] (UCM), INAF - Osservatorio Astronomico (OAR), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), and UPGAL
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, galaxies: starburst, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Morphological transformation, Critical phase, [PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], 0103 physical sciences, galaxies: interactions, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, Physics, 010308 nuclear & particles physics, Star formation, [SDU.ASTR.SR]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR], Conjunction (astronomy), Astronomy and Astrophysics, [PHYS.ASTR.SR]Physics [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR], Galaxy, Redshift, Space and Planetary Science, galaxies: interaction, Astrophysics::Earth and Planetary Astrophysics, galaxies: nuclei, galaxies: evolution, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Two main modes of star formation are know to control the growth of galaxies: a relatively steady one in disk-like galaxies, defining a tight star formation rate (SFR)-stellar mass sequence, and a starburst mode in outliers to such a sequence which is generally interpreted as driven by merging. Such starburst galaxies are rare but have much higher SFRs, and it is of interest to establish the relative importance of these two modes. PACS/Herschel observations over the whole COSMOS and GOODS-South fields, in conjunction with previous optical/near-IR data, have allowed us to accurately quantify for the first time the relative contribution of the two modes to the global SFR density in the redshift interval 1.51000M(sun)/yr, off-sequence sources significantly contribute to the SFR density (46+/-20%). We conclude that merger-driven starbursts play a relatively minor role for the formation of stars in galaxies, whereas they may represent a critical phase towards the quenching of star formation and morphological transformation in galaxies., Comment: Accepted for publication in ApJ Letters
Published: 2011
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24. The X-ray to optical-UV luminosity ratio of X-ray selected Type 1 AGN in XMM-COSMOS

Author: O. Le Fèvre, Andrea Comastri, Anton M. Koekemoer, Jean-Paul Kneib, Eva Schinnerer, M. Scodeggio, Fabrizio Fiore, Francesca Civano, K. Iwasawa, M. Mignoli, John D. Silverman, Mara Salvato, Roberto Gilli, F. Lamareille, D. Vergani, G. Zamorani, Jonathan R. Trump, Nico Cappelluti, Knud Jahnke, Simon J. Lilly, V. Mainieri, Bianca Garilli, Andrea Merloni, M. T. Sargent, Elisabeta Lusso, Angela Bongiorno, Cristian Vignali, Martin Elvis, Marcella Brusa, Micol Bolzonella, E. Le Floc'h, A. Iovino, Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Lusso E., Comastri A., Vignali C., Zamorani G., Brusa M., Gilli R., Iwasawa K., Salvato M., Civano F., Elvis M., Merloni A., Bongiorno A., Trump J.R., Koekemoer A.M., Schinnerer E., Le Floch E., Cappelluti N., Jahnke K., Sargent M., Silverman J., Mainieri V., Fiore F., Bolzonella M., Le Fevre O., Garilli B., Iovino A., Kneib J.P., Lamareille F., Lilly S., Mignoli M., Scodeggio M., and Vergani D.
Subjects: Physics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph], Galaxies: active, Galaxy: evolution, Methods: statistical, Quasars: general, Astronomy and Astrophysics, Space and Planetary Science, 010308 nuclear & particles physics, Astrophysics::High Energy Astrophysical Phenomena, Spectral density, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Type (model theory), 01 natural sciences, Redshift, Luminosity, Black hole, galaxies: active – Galaxy: evolution – quasars: general – methods: statistical, 0103 physical sciences, Spectral slope, Bolometric correction, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, Photometric redshift, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a study of the X-ray to optical properties of a sample of 545 X-ray selected Type 1 AGN, from the XMM-COSMOS survey, over a wide range of redshifts ($0.04, Comment: 14 pages, 15 figures, to appear in A&A
Published: 2009
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25. Comprehensive Catalog of Variants Potentially Associated with Hidradenitis Suppurativa, Including Newly Identified Variants from a Cohort of 100 Patients.

Author: Muret K, Le Goff V, Dandine-Roulland C, Hotz C, Jean-Louis F, Boisson B, Mesrob L, Sandron F, Daian D, Olaso R, Le Floch E, Meyer V, Wolkenstein P, Casanova JL, Lévy Y, Bonnet E, Deleuze JF, and Hüe S
Subjects: Humans, Male, Female, Cohort Studies, Receptors, Notch genetics, Mutation, Adult, Genetic Variation, Signal Transduction genetics, Middle Aged, Hidradenitis Suppurativa genetics, Exome Sequencing, Amyloid Precursor Protein Secretases genetics, Amyloid Precursor Protein Secretases metabolism, Genetic Predisposition to Disease
Abstract: Hidradenitis suppurativa (HS) is a chronic skin disease characterized by painful, recurrent abscesses, nodules, and scarring, primarily in skin folds. The exact causes of HS are multifactorial, involving genetic, hormonal, and environmental factors. It is associated with systemic diseases such as metabolic syndrome and inflammatory bowel disease. Genetic studies have identified mutations in the γ-secretase complex that affect Notch signaling pathways critical for skin cell regulation. Despite its high heritability, most reported HS cases do not follow a simple genetic pattern. In this article, we performed whole-exome sequencing (WES) on a cohort of 100 individuals with HS, and we provide a comprehensive review of the variants known to be described or associated with HS. 91 variants were associated with the γ-secretase complex, and 78 variants were associated with other genes involved in the Notch pathway, keratinization, or immune response. Through this new genetic analysis, we have added ten new variants to the existing catalogs. All variants are available in a .vcf file and are provided as a resource for future studies.
Published: 2024
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26. Human genetic structure in Northwest France provides new insights into West European historical demography.

Author: Alves I, Giemza J, Blum MGB, Bernhardsson C, Chatel S, Karakachoff M, Saint Pierre A, Herzig AF, Olaso R, Monteil M, Gallien V, Cabot E, Svensson E, Bacq D, Baron E, Berthelier C, Besse C, Blanché H, Bocher O, Boland A, Bonnaud S, Charpentier E, Dandine-Roulland C, Férec C, Fruchet C, Lecointe S, Le Floch E, Ludwig TE, Marenne G, Meyer V, Quellery E, Racimo F, Rouault K, Sandron F, Schott JJ, Velo-Suarez L, Violleau J, Willerslev E, Coativy Y, Jézéquel M, Le Bris D, Nicolas C, Pailler Y, Goldberg M, Zins M, Le Marec H, Jakobsson M, Darlu P, Génin E, Deleuze JF, Redon R, and Dina C
Subjects: Humans, France, Genome, Human genetics, Demography, Genetic Variation, Alleles, Genotype, History, Medieval, Europe, Genetics, Population
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., (© 2024. The Author(s).)
Published: 2024
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27. Layer myocardial strain is the most heritable echocardiographic trait.

Author: Huttin O, Xhaard C, Dandine-Roulland C, Le Floch E, Bacq-Daian D, Lamiral Z, Bozec E, Deleuze JF, Zannad F, Rossignol P, and Girerd N
Subjects: Humans, Female, Echocardiography methods, Ventricular Function, Left, Stroke Volume, Diastole, Genome-Wide Association Study, Ventricular Dysfunction, Left diagnostic imaging, Ventricular Dysfunction, Left genetics
Abstract: Aims: Myocardial deformation assessed by strain analysis represents a significant advancement in our assessment of cardiac mechanics. However, whether this variable is genetically heritable or whether all/most of its variability is related to environmental factors is currently unknown. We sought to determine the heritability of echocardiographically determined cardiac mechanics indices in a population setting., Methods and Results: A total of 1357 initially healthy subjects (women 51.6%; 48.2 ± 14.1 years) were included in this study from 20-year follow-up after the fourth visit of the longitudinal familial STANISLAS cohort (Lorraine, France). Data were acquired using state-of-the-art cardiac ultrasound equipment, using acquisition and measurement protocols recommended by the EACVI (European Association of Cardiovascular Imaging)/ASE (American Society of Echocardiography)/Industry Task Force. Layer-specific global longitudinal strain (GLS) and global circumferential strain (full-wall, subendocardial, and subepicardial) and conventional structural and functional cardiac parameters and their potential heritability were assessed using restricted maximum likelihood analysis, with genetic relatedness matrix calculated from genome-wide association data. Indices of longitudinal/circumferential myocardial function and left ventricular (LV) ejection fraction had low heritability (ranging from 10% to 20%). Diastolic and standard LV function parameters had moderate heritability (ranging from 20% to 30%) except for end-systolic and end-diastolic volumes (30% and 45%, respectively). In contrast, global longitudinal subendocardial strain (GLSEndo)/global longitudinal subepicardial strain (GLSEpi) ratio had a high level of heritability (65%). Except for GLSEndo/GLSEpi ratio, a large percentage of variance remained unexplained (>50%)., Conclusions: In our population cohort, GLSEndo/GLSEpi ratio had a high level of heritability, whereas other classical and mechanical LV function parameters did not. Given the increasing recognition of GLSEndo/GLSEpi ratio as an early/sensitive imaging biomarker of systolic dysfunction, our results suggest the possible existence of individual genetic predispositions to myocardial decline., Competing Interests: Conflict of interest: None declared., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
Published: 2023
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28. Shared Heritability of Blood Pressure and Pulse Wave Velocity: Insights From the STANISLAS Cohort.

Author: Xhaard C, de Villemereuil P, Benetos A, Bozec E, Dandine-Roulland C, Le Floch E, Regnault V, Lacolley P, Zannad F, Rossignol P, and Girerd N
Subjects: Humans, Blood Pressure genetics, Bayes Theorem, Pulse Wave Analysis, Vascular Stiffness genetics
Abstract: Background: Pulse wave velocity (PWV) is a marker of arterial stiffness, which is intrinsically highly correlated with blood pressure (BP). However, the interplay of PWV and BP heritability has not been extensively studied. This study aimed to estimate the heritability of PWV and BP and determine the genetic correlation between PWV and BP., Methods: The heritability of PWV and BP was estimated in 1080 subjects from the STANISLAS (Suivi Temporaire Annuel Non-Invasif de la Santé des Lorrains Assurés Sociaux) cohort with at least one relative using a linear mixed model within one frequentist and one Bayesian framework implemented, respectively, in the Gaston and MCMCglmm R packages. Then their genetic correlations were also estimated., Results: The heritability estimations for PWV were within the same range of the heritability of systolic BP and diastolic BP (23%, 19%, and 27%, respectively). Daytime heritability of BP was higher than nighttime BP. In addition, phenotypic correlations between PWV and systolic BP/diastolic BP were, respectively, 0.34 and 0.23, whereas nonsignificant genetic correlations were 0.08 and 0.22 respectively, indicating that PWV and diastolic BP shared more polygenic codeterminants than PWV and systolic BP., Conclusions: Our results suggest that the heritability of PWV is >20% and within the same range as BP heritability. It also suggests that the link between PWV and BP goes beyond phenotypic association: PWV and BP (in particular diastolic BP) share common genetic determinants. This genetic interdependence of PWV and BP appears largely polygenic., Competing Interests: Disclosures None.
Published: 2023
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29. Identification of risk loci for primary aldosteronism in genome-wide association studies.

Author: Le Floch E, Cosentino T, Larsen CK, Beuschlein F, Reincke M, Amar L, Rossi GP, De Sousa K, Baron S, Chantalat S, Saintpierre B, Lenzini L, Frouin A, Giscos-Douriez I, Ferey M, Abdellatif AB, Meatchi T, Empana JP, Jouven X, Gieger C, Waldenberger M, Peters A, Cusi D, Salvi E, Meneton P, Touvier M, Deschasaux M, Druesne-Pecollo N, Boulkroun S, Fernandes-Rosa FL, Deleuze JF, Jeunemaitre X, and Zennaro MC
Subjects: Adrenalectomy, Aldosterone, Animals, DNA-Binding Proteins genetics, Genome-Wide Association Study, Humans, Male, Mice, Transcription Factors genetics, Adrenal Cortex Neoplasms genetics, Adrenal Cortex Neoplasms surgery, Adrenocortical Adenoma genetics, Adrenocortical Adenoma surgery, Hyperaldosteronism genetics
Abstract: Primary aldosteronism affects up to 10% of hypertensive patients and is responsible for treatment resistance and increased cardiovascular risk. Here we perform a genome-wide association study in a discovery cohort of 562 cases and 950 controls and identify three main loci on chromosomes 1, 13 and X; associations on chromosome 1 and 13 are replicated in a second cohort and confirmed by a meta-analysis involving 1162 cases and 3296 controls. The association on chromosome 13 is specific to men and stronger in bilateral adrenal hyperplasia than aldosterone producing adenoma. Candidate genes located within the two loci, CASZ1 and RXFP2, are expressed in human and mouse adrenals in different cell clusters. Their overexpression in adrenocortical cells suppresses mineralocorticoid output under basal and stimulated conditions, without affecting cortisol biosynthesis. Our study identifies the first risk loci for primary aldosteronism and highlights new mechanisms for the development of aldosterone excess., (© 2022. The Author(s).)
Published: 2022
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30. Weak Association Between Genetic Markers of Hyperuricemia and Cardiorenal Outcomes: Insights From the STANISLAS Study Cohort With a 20-Year Follow-Up.

Author: Kanbay M, Xhaard C, Le Floch E, Dandine-Roulland C, Girerd N, Ferreira JP, Boivin JM, Wagner S, Bacq-Daian D, Deleuze JF, Zannad F, and Rossignol P
Subjects: Humans, Blood Pressure Monitoring, Ambulatory, Carotid Intima-Media Thickness, Follow-Up Studies, Genetic Markers, Genome-Wide Association Study, Glucose Transport Proteins, Facilitative genetics, Pulse Wave Analysis, Risk Factors, Uric Acid, Polymorphism, Single Nucleotide, Hyperuricemia diagnosis, Hyperuricemia epidemiology, Hyperuricemia genetics
Abstract: Background Hyperuricemia is associated with poor cardiovascular outcomes, although it is uncertain whether this relationship is causal in nature. This study aimed to: (1) assess the heritability of serum uric acid (SUA) levels, (2) conduct a genome-wide association study on SUA levels, and (3) investigate the association between certain single-nucleotide polymorphisms and target organ damage. Methods and Results The STANISLAS (Suivi Temporaire Annuel Non-Invasif de la Santé des Lorrains Assurés Sociaux) study cohort is a single-center longitudinal cohort recruited between 1993 and 1995 (visit 1), with a last visit (visit 4 [V4]) performed ≈20 years apart. Serum lipid profile, SUA, urinary albumin/creatinine ratio, estimated glomerular filtration rate, 24-hour ambulatory blood pressure monitoring, transthoracic echocardiography, pulse wave velocity, and genotyping for each participant were assessed at V4. A total of 1573 participants were included at V4, among whom 1417 had available SUA data at visit 1. Genome-wide association study results highlighted multiple single-nucleotide polymorphisms on the SLC2A9 gene linked to SUA levels. Carriers of the most associated mutated SLC2A9 allele ( rs16890979 ) had significantly lower SUA levels. Although SUA level at V4 was highly associated with diabetes, prediabetes, higher body mass index, CRP (C-reactive protein) levels, estimated glomerular filtration rate variation (visit 1-V4), carotid intima-media thickness, and pulse wave velocity, rs16890979 was only associated with higher carotid intima-media thickness. Conclusions Our findings demonstrate that rs16890979 , a genetic determinant of SUA levels located on the SLC2A9 gene, is associated with carotid intima-media thickness despite significant associations between SUA levels and several clinical outcomes, thereby lending support to the hypothesis of a link between SUA and cardiovascular disease.
Published: 2022
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31. Impact of natriuretic peptide polymorphisms on diastolic and metabolic function in a populational cohort: insights from the STANISLAS cohort.

Author: Xhaard C, Rouget R, Vodovar N, Le Floch E, Dandine-Roulland C, Wagner S, Bacq-Daian D, Thuillier Q, Boivin JM, Branlant C, Deleuze JF, Behm-Ansmant I, Zannad F, Rossignol P, and Girerd N
Subjects: Cohort Studies, Humans, Natriuretic Peptide, Brain genetics, Natriuretic Peptide, Brain metabolism, Natriuretic Peptides, Polymorphism, Single Nucleotide, Atrial Natriuretic Factor metabolism, Genome-Wide Association Study
Abstract: Aims: Elevated brain natriuretic peptide (BNP) and the N-terminal fragment of its pro-hormone (NT-proBNP) have become established biomarkers for heart failure and are associated with cardiovascular morbidity and mortality. Investigating sources of inter-individual heterogeneity, particularly genetic factors, could help better identify patients at risk of future cardiovascular disease. The aim of this study was to estimate the heritability of circulating NT-proBNP levels, to perform a genome-wide association study (GWAS) and gene-candidate analysis focused on NPPB-NPPA genes on these levels, and to examine their association with cardiovascular or metabolic outcomes., Methods and Results: A total of 1555 individuals from the STANISLAS study were included. The heritability of circulating NT-proBNP levels was estimated at 15%, with seven single nucleotide polymorphisms (SNPs) reaching the significant threshold in the GWAS. All above SNPs were located on the same gene cluster constituted of MTHFR, CLCN6, NPPA, NPPB, and C1orf167. NPPA gene expression was also associated with NT-proBNP levels. Moreover, six other SNPs from NPPA-NPPB genes were associated with diastolic function (lateral e' on echocardiography) and metabolic features (glycated haemoglobin)., Conclusions: The heritability of natriuretic peptides appears relatively low (15%) and mainly based on the same gene cluster constituted of MTHFR, CLCN6, NPPA, NPPB, and C1orf167. Natriuretic peptide polymorphisms are associated with natriuretic peptide levels and diastolic function. These results suggest that natriuretic peptide polymorphisms may have an impact in the early stages of cardiovascular and metabolic disease., (© 2021 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)
Published: 2022
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32. PIntMF: Penalized Integrative Matrix Factorization method for multi-omics data.

Author: Pierre-Jean M, Mauger F, Deleuze JF, and Le Floch E
Subjects: Humans, Cluster Analysis, Genome, Biomarkers, Multiomics, Neoplasms genetics
Abstract: Motivation: It is more and more common to perform multi-omics analyses to explore the genome at diverse levels and not only at a single level. Through integrative statistical methods, multi-omics data have the power to reveal new biological processes, potential biomarkers and subgroups in a cohort. Matrix factorization (MF) is an unsupervised statistical method that allows a clustering of individuals, but also reveals relevant omics variables from the various blocks., Results: Here, we present PIntMF (Penalized Integrative Matrix Factorization), an MF model with sparsity, positivity and equality constraints. To induce sparsity in the model, we used a classical Lasso penalization on variable and individual matrices. For the matrix of samples, sparsity helps in the clustering, while normalization (matching an equality constraint) of inferred coefficients is added to improve interpretation. Moreover, we added an automatic tuning of the sparsity parameters using the famous glmnet package. We also proposed three criteria to help the user to choose the number of latent variables. PIntMF was compared with other state-of-the-art integrative methods including feature selection techniques in both synthetic and real data. PIntMF succeeds in finding relevant clusters as well as variables in two types of simulated data (correlated and uncorrelated). Next, PIntMF was applied to two real datasets (Diet and cancer), and it revealed interpretable clusters linked to available clinical data. Our method outperforms the existing ones on two criteria (clustering and variable selection). We show that PIntMF is an easy, fast and powerful tool to extract patterns and cluster samples from multi-omics data., Availability and Implementation: An R package is available at https://github.com/mpierrejean/pintmf., Supplementary Information: Supplementary data are available at Bioinformatics online., (© The Author(s) 2021. Published by Oxford University Press.)
Published: 2022
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33. Genome-wide haplotype association study in imaging genetics using whole-brain sulcal openings of 16,304 UK Biobank subjects.

Author: Karkar S, Dandine-Roulland C, Mangin JF, Le Guen Y, Philippe C, Deleuze JF, Pierre-Jean M, Le Floch E, and Frouin V
Subjects: Aged, Databases, Factual, Female, Haplotypes, Humans, Male, Middle Aged, Brain diagnostic imaging, Genome-Wide Association Study methods, Magnetic Resonance Imaging statistics & numerical data, Polymorphism, Genetic
Abstract: Neuroimaging-genetics cohorts gather two types of data: brain imaging and genetic data. They allow the discovery of associations between genetic variants and brain imaging features. They are invaluable resources to study the influence of genetics and environment in the brain features variance observed in normal and pathological populations. This study presents a genome-wide haplotype analysis for 123 brain sulcus opening value (a measure of sulcal width) across the whole brain that include 16,304 subjects from UK Biobank. Using genetic maps, we defined 119,548 blocks of low recombination rate distributed along the 22 autosomal chromosomes and analyzed 1,051,316 haplotypes. To test associations between haplotypes and complex traits, we designed three statistical approaches. Two of them use a model that includes all the haplotypes for a single block, while the last approach considers each haplotype independently. All the statistics produced were assessed as rigorously as possible. Thanks to the rich imaging dataset at hand, we used resampling techniques to assess False Positive Rate for each statistical approach in a genome-wide and brain-wide context. The results on real data show that genome-wide haplotype analyses are more sensitive than single-SNP approach and account for local complex Linkage Disequilibrium (LD) structure, which makes genome-wide haplotype analysis an interesting and statistically sound alternative to the single-SNP counterpart., (© 2021. The Author(s).)
Published: 2021
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34. Region-specific expression of young small-scale duplications in the human central nervous system.

Author: Brohard-Julien S, Frouin V, Meyer V, Chalabi S, Deleuze JF, Le Floch E, and Battail C
Subjects: Central Nervous System, Genes, Duplicate, Genome, Humans, Evolution, Molecular, Gene Duplication
Abstract: Background: The duplication of genes is one of the main genetic mechanisms that led to the gain in complexity of biological tissue. Although the implication of duplicated gene expression in brain evolution was extensively studied through comparisons between organs, their role in the regional specialization of the adult human central nervous system has not yet been well described., Results: Our work explored intra-organ expression properties of paralogs through multiple territories of the human central nervous system (CNS) using transcriptome data generated by the Genotype-Tissue Expression (GTEx) consortium. Interestingly, we found that paralogs were associated with region-specific expression in CNS, suggesting their involvement in the differentiation of these territories. Beside the influence of gene expression level on region-specificity, we observed the contribution of both duplication age and duplication type to the CNS region-specificity of paralogs. Indeed, we found that small scale duplicated genes (SSDs) and in particular ySSDs (SSDs younger than the 2 rounds of whole genome duplications) were more CNS region-specific than other paralogs. Next, by studying the two paralogs of ySSD pairs, we observed that when they were region-specific, they tend to be specific to the same region more often than for other paralogs, showing the high co-expression of ySSD pairs. The extension of this analysis to families of paralogs showed that the families with co-expressed gene members (i.e. homogeneous families) were enriched in ySSDs. Furthermore, these homogeneous families tended to be region-specific families, where the majority of their gene members were specifically expressed in the same region., Conclusions: Overall, our study suggests the involvement of ySSDs in the differentiation of human central nervous system territories. Therefore, we show the relevance of exploring region-specific expression of paralogs at the intra-organ level.
Published: 2021
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35. Clustering and variable selection evaluation of 13 unsupervised methods for multi-omics data integration.

Author: Pierre-Jean M, Deleuze JF, Le Floch E, and Mauger F
Subjects: Algorithms, Computer Simulation, Humans, Multivariate Analysis, Cluster Analysis, Computational Biology methods, Genomics methods, Neoplasms genetics
Abstract: Recent advances in NGS sequencing, microarrays and mass spectrometry for omics data production have enabled the generation and collection of different modalities of high-dimensional molecular data. The integration of multiple omics datasets is a statistical challenge, due to the limited number of individuals, the high number of variables and the heterogeneity of the datasets to integrate. Recently, a lot of tools have been developed to solve the problem of integrating omics data including canonical correlation analysis, matrix factorization and SM. These commonly used techniques aim to analyze simultaneously two or more types of omics. In this article, we compare a panel of 13 unsupervised methods based on these different approaches to integrate various types of multi-omics datasets: iClusterPlus, regularized generalized canonical correlation analysis, sparse generalized canonical correlation analysis, multiple co-inertia analysis (MCIA), integrative-NMF (intNMF), SNF, MoCluster, mixKernel, CIMLR, LRAcluster, ConsensusClustering, PINSPlus and multi-omics factor analysis (MOFA). We evaluate the ability of the methods to recover the subgroups and the variables that drive the clustering on eight benchmarks of simulation. MOFA does not provide any results on these benchmarks. For clustering, SNF, MoCluster, CIMLR, LRAcluster, ConsensusClustering and intNMF provide the best results. For variable selection, MoCluster outperforms the others. However, the performance of the methods seems to depend on the heterogeneity of the datasets (especially for MCIA, intNMF and iClusterPlus). Finally, we apply the methods on three real studies with heterogeneous data and various phenotypes. We conclude that MoCluster is the best method to analyze these omics data. Availability: An R package named CrIMMix is available on GitHub at https://github.com/CNRGH/crimmix to reproduce all the results of this article., (© The authors 2019. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.)
Published: 2020
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36. Exploring the Link Between Additive Heritability and Prediction Accuracy From a Ridge Regression Perspective.

Author: Frouin A, Dandine-Roulland C, Pierre-Jean M, Deleuze JF, Ambroise C, and Le Floch E
Abstract: Genome-Wide Association Studies (GWAS) explain only a small fraction of heritability for most complex human phenotypes. Genomic heritability estimates the variance explained by the SNPs on the whole genome using mixed models and accounts for the many small contributions of SNPs in the explanation of a phenotype. This paper approaches heritability from a machine learning perspective, and examines the close link between mixed models and ridge regression. Our contribution is two-fold. First, we propose estimating genomic heritability using a predictive approach via ridge regression and Generalized Cross Validation (GCV). We show that this is consistent with classical mixed model based estimation. Second, we derive simple formulae that express prediction accuracy as a function of the ratio n p , where n is the population size and p the total number of SNPs. These formulae clearly show that a high heritability does not imply an accurate prediction when p > n . Both the estimation of heritability via GCV and the prediction accuracy formulae are validated using simulated data and real data from UK Biobank., (Copyright © 2020 Frouin, Dandine-Roulland, Pierre-Jean, Deleuze, Ambroise and Le Floch.)
Published: 2020
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37. Circulating plasma proteins and new-onset diabetes in a population-based study: proteomic and genomic insights from the STANISLAS cohort.

Author: Ferreira JP, Lamiral Z, Xhaard C, Duarte K, Bresso E, Devignes MD, Le Floch E, Roulland CD, Deleuze JF, Wagner S, Guerci B, Girerd N, Zannad F, Boivin JM, and Rossignol P
Subjects: Adult, Cohort Studies, Cross-Sectional Studies, Diabetes Mellitus, Type 2 blood, Female, Humans, Male, Prediabetic State blood, Prediabetic State genetics, Prediabetic State metabolism, Prospective Studies, Risk Factors, Young Adult, Blood Proteins genetics, Blood Proteins metabolism, Diabetes Mellitus, Type 2 genetics, Diabetes Mellitus, Type 2 metabolism, Genomics methods, Proteomics methods
Abstract: Objective: Determining the factors associated with new-onset pre-diabetes and type 2 diabetes mellitus (T2D) is important for improving the current prevention strategies and for a better understanding of the disease., Design: To study the factors (clinical, circulating protein and genetic) associated with new onset pre-diabetes and T2D in an initially healthy (without diabetes) populational familial cohort with a long follow-up (STANISLAS cohort)., Methods: A total of 1506 participants attended both the visit 1 and visit 4, separated by ≈20 years. Over 400 proteins, GWAS and genetic associations were studied using models adjusted for potential confounders. Both prospective (V1 to V4) and cross-sectional (V4) analyses were performed., Results: People who developed pre-diabetes (n = 555) and/or T2D (n = 73) were older, had higher BMI, blood pressure, glucose, LDL cholesterol, and lower eGFR. After multivariable selection, PAPP-A (pappalysin-1) was the only circulating protein associated with the onset of both pre-diabetes and T2D with associations persisting at visit 4 (i.e. ≈20 years later). FGF-21 (fibroblast growth factor 21) was a strong prognosticator for incident T2D in the longitudinal analysis, but not in the cross-sectional analysis. The heritability of the circulating PAPP-A was estimated at 44%. In GWAS analysis, the SNP rs634737 was associated with PAPP-A both at V1 and V4. External replication also showed lower levels of PAPP-A in patients with T2D., Conclusions: The risk of developing pre-diabetes and T2D increases with age and with features of the metabolic syndrome. Circulating PAPP-A, which has an important genetic component, was associated with both the development and presence of pre-diabetes and T2D.
Published: 2020
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38. Where are the missing gene defects in inherited retinal disorders? Intronic and synonymous variants contribute at least to 4% of CACNA1F-mediated inherited retinal disorders.

Author: Zeitz C, Michiels C, Neuillé M, Friedburg C, Condroyer C, Boyard F, Antonio A, Bouzidi N, Milicevic D, Veaux R, Tourville A, Zoumba A, Seneina I, Foussard M, Andrieu C, N Preising M, Blanchard S, Saraiva JP, Mesrob L, Le Floch E, Jubin C, Meyer V, Blanché H, Boland A, Deleuze JF, Sharon D, Drumare I, Defoort-Dhellemmes S, De Baere E, Leroy BP, Zanlonghi X, Casteels I, de Ravel TJ, Balikova I, Koenekoop RK, Laffargue F, McLean R, Gottlob I, Bonneau D, Schorderet DF, L Munier F, McKibbin M, Prescott K, Pelletier V, Dollfus H, Perdomo-Trujillo Y, Faure C, Reiff C, Wissinger B, Meunier I, Kohl S, Banin E, Zrenner E, Jurklies B, Lorenz B, Sahel JA, and Audo I
Subjects: Genetic Predisposition to Disease, Hemizygote, Humans, Introns, Male, Pedigree, RNA Splicing, Silent Mutation, Calcium Channels, L-Type genetics, Eye Diseases, Hereditary genetics, Genetic Diseases, X-Linked genetics, Mutation, Myopia genetics, Night Blindness genetics, Sequence Analysis, DNA methods
Abstract: Inherited retinal disorders (IRD) represent clinically and genetically heterogeneous diseases. To date, pathogenic variants have been identified in ~260 genes. Albeit that many genes are implicated in IRD, for 30-50% of the cases, the gene defect is unknown. These cases may be explained by novel gene defects, by overlooked structural variants, by variants in intronic, promoter or more distant regulatory regions, and represent synonymous variants of known genes contributing to the dysfunction of the respective proteins. Patients with one subgroup of IRD, namely incomplete congenital stationary night blindness (icCSNB), show a very specific phenotype. The major cause of this condition is the presence of a hemizygous pathogenic variant in CACNA1F. A comprehensive study applying direct Sanger sequencing of the gene-coding regions, exome and genome sequencing applied to a large cohort of patients with a clinical diagnosis of icCSNB revealed indeed that seven of the 189 CACNA1F-related cases have intronic and synonymous disease-causing variants leading to missplicing as validated by minigene approaches. These findings highlight that gene-locus sequencing may be a very efficient method in detecting disease-causing variants in clinically well-characterized patients with a diagnosis of IRD, like icCSNB., (© 2019 Wiley Periodicals, Inc.)
Published: 2019
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39. Toxoplasma gondii exposure may modulate the influence of TLR2 genetic variation on bipolar disorder: a gene-environment interaction study.

Author: Oliveira J, Kazma R, Le Floch E, Bennabi M, Hamdani N, Bengoufa D, Dahoun M, Manier C, Bellivier F, Krishnamoorthy R, Deleuze JF, Yolken R, Leboyer M, and Tamouza R
Abstract: Background: Genetic vulnerability to environmental stressors is yet to be clarified in bipolar disorder (BD), a complex multisystem disorder in which immune dysfunction and infectious insults seem to play a major role in the pathophysiology. Association between pattern-recognition receptor coding genes and BD had been previously reported. However, potential interactions with history of pathogen exposure are yet to be explored., Methods: 138 BD patients and 167 healthy controls were tested for serostatus of Toxoplasma gondii, CMV, HSV-1 and HSV-2 and genotyped for TLR2 (rs4696480 and rs3804099), TLR4 (rs1927914 and rs11536891) and NOD2 (rs2066842) polymorphisms (SNPs). Both the pathogen-specific seroprevalence and the TLR/NOD2 genetic profiles were compared between patients and controls followed by modelling of interactions between these genes and environmental infectious factors in a regression analysis., Results: First, here again we observed an association between BD and Toxoplasma gondii (p = 0.045; OR = 1.77; 95 % CI 1.01-3.10) extending the previously published data on a cohort of a relatively small number of patients (also included in the present sample). Second, we found a trend for an interaction between the TLR2 rs3804099 SNP and Toxoplasma gondii seropositivity in conferring BD risk (p = 0.017, uncorrected)., Conclusions: Pathogen exposure may modulate the influence of the immunogenetic background on BD. A much larger sample size and information on period of pathogen exposure are needed in future gene-environment interaction studies.
Published: 2016
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40. Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares.

Author: Le Floch E, Guillemot V, Frouin V, Pinel P, Lalanne C, Trinchera L, Tenenhaus A, Moreno A, Zilbovicius M, Bourgeron T, Dehaene S, Thirion B, Poline JB, and Duchesnay E
Subjects: Adult, Data Interpretation, Statistical, Female, Humans, Least-Squares Analysis, Male, Reproducibility of Results, Sensitivity and Specificity, Young Adult, Brain physiology, Brain Mapping methods, Cognition physiology, Magnetic Resonance Imaging methods, Nerve Net physiology, Pattern Recognition, Automated methods, Polymorphism, Single Nucleotide genetics
Abstract: Brain imaging is increasingly recognised as an intermediate phenotype to understand the complex path between genetics and behavioural or clinical phenotypes. In this context, a first goal is to propose methods to identify the part of genetic variability that explains some neuroimaging variability. Classical univariate approaches often ignore the potential joint effects that may exist between genes or the potential covariations between brain regions. In this paper, we propose instead to investigate an exploratory multivariate method in order to identify a set of Single Nucleotide Polymorphisms (SNPs) covarying with a set of neuroimaging phenotypes derived from functional Magnetic Resonance Imaging (fMRI). Recently, Partial Least Squares (PLS) regression or Canonical Correlation Analysis (CCA) have been proposed to analyse DNA and transcriptomics. Here, we propose to transpose this idea to the DNA vs. imaging context. However, in very high-dimensional settings like in imaging genetics studies, such multivariate methods may encounter overfitting issues. Thus we investigate the use of different strategies of regularisation and dimension reduction techniques combined with PLS or CCA to face the very high dimensionality of imaging genetics studies. We propose a comparison study of the different strategies on a simulated dataset first and then on a real dataset composed of 94 subjects, around 600,000 SNPs and 34 functional MRI lateralisation indexes computed from reading and speech comprehension contrast maps. We estimate the generalisability of the multivariate association with a cross-validation scheme and demonstrate the significance of this link, using a permutation procedure. Univariate selection appears to be necessary to reduce the dimensionality. However, the significant association uncovered by this two-step approach combining univariate filtering and L1-regularised PLS suggests that discovering meaningful genetic associations calls for a multivariate approach., (Copyright © 2012 Elsevier Inc. All rights reserved.)
Published: 2012
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41. Voxelwise multivariate statistics and brain-wide machine learning using the full diffusion tensor.

Author: Fouque AL, Fillard P, Bargiacchi A, Cachia A, Zilbovicius M, Thyreau B, Le Floch E, Ciuciu P, and Duchesnay E
Subjects: Algorithms, Artificial Intelligence, Brain Mapping methods, Child, Humans, Models, Statistical, Multivariate Analysis, Software, Brain pathology, Child Development Disorders, Pervasive pathology, Diffusion Tensor Imaging methods, Image Processing, Computer-Assisted methods, Magnetic Resonance Imaging methods
Abstract: In this paper, we propose to use the full diffusion tensor to perform brain-wide score prediction on diffusion tensor imaging (DTI) using the log-Euclidean framework., rather than the commonly used fractional anisotropy (FA). Indeed, scalar values such as the FA do not capture all the information contained in the diffusion tensor. Additionally, full tensor information is included in every step of the pre-processing pipeline: registration, smoothing and feature selection using voxelwise multivariate regression analysis. This approach was tested on data obtained from 30 children and adolescents with autism spectrum disorder and showed some improvement over the FA-only analysis.
Published: 2011
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