TY  - JOUR
A1  - Arlt, Wiebke
A1  - Biehl, Michael
A1  - Taylor, Angela E.
A1  - Hahner, Stefanie
A1  - Libé, Rossella
A1  - Hughes, Beverly A.
A1  - Schneider, Petra
A1  - Smith, David J.
A1  - Stiekema, Han
A1  - Krone, Nils
A1  - Porfiri, Emilio
A1  - Opocher, Giuseppe
A1  - Bertherat, Jerôme
A1  - Mantero, Franco
A1  - Allolio, Bruno
A1  - Terzolo, Massimo
A1  - Nightingale, Peter
A1  - Shackleton, Cedric H. L.
A1  - Bertagna, Xavier
A1  - Fassnacht, Martin
A1  - Stewart, Paul M.
T1  - Urine Steroid Metabolomics as a Biomarker Tool for Detecting Malignancy in Adrenal Tumors
JF  - The Journal of Clinical Endocrinology & Metabolism
N2  - Context:
Adrenal tumors have a prevalence of around 2% in the general population. Adrenocortical carcinoma (ACC) is rare but accounts for 2–11% of incidentally discovered adrenal masses. Differentiating ACC from adrenocortical adenoma (ACA) represents a diagnostic challenge in patients with adrenal incidentalomas, with tumor size, imaging, and even histology all providing unsatisfactory predictive values.

Objective:
Here we developed a novel steroid metabolomic approach, mass spectrometry-based steroid profiling followed by machine learning analysis, and examined its diagnostic value for the detection of adrenal malignancy.

Design:
Quantification of 32 distinct adrenal derived steroids was carried out by gas chromatography/mass spectrometry in 24-h urine samples from 102 ACA patients (age range 19–84 yr) and 45 ACC patients (20–80 yr). Underlying diagnosis was ascertained by histology and metastasis in ACC and by clinical follow-up [median duration 52 (range 26–201) months] without evidence of metastasis in ACA. Steroid excretion data were subjected to generalized matrix learning vector quantization (GMLVQ) to identify the most discriminative steroids.

Results:
Steroid profiling revealed a pattern of predominantly immature, early-stage steroidogenesis in ACC. GMLVQ analysis identified a subset of nine steroids that performed best in differentiating ACA from ACC. Receiver-operating characteristics analysis of GMLVQ results demonstrated sensitivity = specificity = 90% (area under the curve = 0.97) employing all 32 steroids and sensitivity = specificity = 88% (area under the curve = 0.96) when using only the nine most differentiating markers.

Conclusions:
Urine steroid metabolomics is a novel, highly sensitive, and specific biomarker tool for discriminating benign from malignant adrenal tumors, with obvious promise for the diagnostic work-up of patients with adrenal incidentalomas.
KW  - adrenal cortex hormones
KW  - urine
KW  - adrenal cortex neoplasms
KW  - mass spectrometry
KW  - metabolomics
Y1  - 2011
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-154682
VL  - 96
IS  - 12
SP  - 3775
EP  - 3784
ER  - 
TY  - JOUR
A1  - Hudson, Lawrence N.
A1  - Newbold, Tim
A1  - Contu, Sara
A1  - Hill, Samantha L. L.
A1  - Lysenko, Igor
A1  - De Palma, Adriana
A1  - Phillips, Helen R. P.
A1  - Senior, Rebecca A.
A1  - Bennett, Dominic J.
A1  - Booth, Hollie
A1  - Choimes, Argyrios
A1  - Correia, David L. P.
A1  - Day, Julie
A1  - Echeverria-Londono, Susy
A1  - Garon, Morgan
A1  - Harrison, Michelle L. K.
A1  - Ingram, Daniel J.
A1  - Jung, Martin
A1  - Kemp, Victoria
A1  - Kirkpatrick, Lucinda
A1  - Martin, Callum D.
A1  - Pan, Yuan
A1  - White, Hannah J.
A1  - Aben, Job
A1  - Abrahamczyk, Stefan
A1  - Adum, Gilbert B.
A1  - Aguilar-Barquero, Virginia
A1  - Aizen, Marcelo
A1  - Ancrenaz, Marc
A1  - Arbelaez-Cortes, Enrique
A1  - Armbrecht, Inge
A1  - Azhar, Badrul
A1  - Azpiroz, Adrian B.
A1  - Baeten, Lander
A1  - Báldi, András
A1  - Banks, John E.
A1  - Barlow, Jos
A1  - Batáry, Péter
A1  - Bates, Adam J.
A1  - Bayne, Erin M.
A1  - Beja, Pedro
A1  - Berg, Ake
A1  - Berry, Nicholas J.
A1  - Bicknell, Jake E.
A1  - Bihn, Jochen H.
A1  - Böhning-Gaese, Katrin
A1  - Boekhout, Teun
A1  - Boutin, Celine
A1  - Bouyer, Jeremy
A1  - Brearley, Francis Q.
A1  - Brito, Isabel
A1  - Brunet, Jörg
A1  - Buczkowski, Grzegorz
A1  - Buscardo, Erika
A1  - Cabra-Garcia, Jimmy
A1  - Calvino-Cancela, Maria
A1  - Cameron, Sydney A.
A1  - Cancello, Eliana M.
A1  - Carrijo, Tiago F.
A1  - Carvalho, Anelena L.
A1  - Castro, Helena
A1  - Castro-Luna, Alejandro A.
A1  - Cerda, Rolando
A1  - Cerezo, Alexis
A1  - Chauvat, Matthieu
A1  - Clarke, Frank M.
A1  - Cleary, Daniel F. R.
A1  - Connop, Stuart P.
A1  - D'Aniello, Biagio
A1  - da Silva, Pedro Giovani
A1  - Darvill, Ben
A1  - Dauber, Jens
A1  - Dejean, Alain
A1  - Diekötter, Tim
A1  - Dominguez-Haydar, Yamileth
A1  - Dormann, Carsten F.
A1  - Dumont, Bertrand
A1  - Dures, Simon G.
A1  - Dynesius, Mats
A1  - Edenius, Lars
A1  - Elek, Zoltán
A1  - Entling, Martin H.
A1  - Farwig, Nina
A1  - Fayle, Tom M.
A1  - Felicioli, Antonio
A1  - Felton, Annika M.
A1  - Ficetola, Gentile F.
A1  - Filgueiras, Bruno K. C.
A1  - Fonte, Steve J.
A1  - Fraser, Lauchlan H.
A1  - Fukuda, Daisuke
A1  - Furlani, Dario
A1  - Ganzhorn, Jörg U.
A1  - Garden, Jenni G.
A1  - Gheler-Costa, Carla
A1  - Giordani, Paolo
A1  - Giordano, Simonetta
A1  - Gottschalk, Marco S.
A1  - Goulson, Dave
A1  - Gove, Aaron D.
A1  - Grogan, James
A1  - Hanley, Mick E.
A1  - Hanson, Thor
A1  - Hashim, Nor R.
A1  - Hawes, Joseph E.
A1  - Hébert, Christian
A1  - Helden, Alvin J.
A1  - Henden, John-André
A1  - Hernández, Lionel
A1  - Herzog, Felix
A1  - Higuera-Diaz, Diego
A1  - Hilje, Branko
A1  - Horgan, Finbarr G.
A1  - Horváth, Roland
A1  - Hylander, Kristoffer
A1  - Horváth, Roland
A1  - Isaacs-Cubides, Paola
A1  - Ishitani, Mashiro
A1  - Jacobs, Carmen T.
A1  - Jaramillo, Victor J.
A1  - Jauker, Birgit
A1  - Jonsell, Matts
A1  - Jung, Thomas S.
A1  - Kapoor, Vena
A1  - Kati, Vassiliki
A1  - Katovai, Eric
A1  - Kessler, Michael
A1  - Knop, Eva
A1  - Kolb, Annette
A1  - Körösi, Àdám
A1  - Lachat, Thibault
A1  - Lantschner, Victoria
A1  - Le Féon, Violette
A1  - LeBuhn, Gretchen
A1  - Légaré, Jean-Philippe
A1  - Letcher, Susan G.
A1  - Littlewood, Nick A.
A1  - López-Quintero, Carlos A.
A1  - Louhaichi, Mounir
A1  - Lövei, Gabor L.
A1  - Lucas-Borja, Manuel Esteban
A1  - Luja, Victor H.
A1  - Maeto, Kaoru
A1  - Magura, Tibor
A1  - Mallari, Neil Aldrin
A1  - Marin-Spiotta, Erika
A1  - Marhall, E. J. P.
A1  - Martínez, Eliana
A1  - Mayfield, Margaret M.
A1  - Mikusinski, Gregorz
A1  - Milder, Jeffery C.
A1  - Miller, James R.
A1  - Morales, Carolina L.
A1  - Muchane, Mary N.
A1  - Muchane, Muchai
A1  - Naidoo, Robin
A1  - Nakamura, Akihiro
A1  - Naoe, Shoji
A1  - Nates-Parra, Guiomar
A1  - Navarerete Gutierrez, Dario A.
A1  - Neuschulz, Eike L.
A1  - Noreika, Norbertas
A1  - Norfolk, Olivia
A1  - Noriega, Jorge Ari
A1  - Nöske, Nicole M.
A1  - O'Dea, Niall
A1  - Oduro, William
A1  - Ofori-Boateng, Caleb
A1  - Oke, Chris O.
A1  - Osgathorpe, Lynne M.
A1  - Paritsis, Juan
A1  - Parrah, Alejandro
A1  - Pelegrin, Nicolás
A1  - Peres, Carlos A.
A1  - Persson, Anna S.
A1  - Petanidou, Theodora
A1  - Phalan, Ben
A1  - Philips, T. Keith
A1  - Poveda, Katja
A1  - Power, Eileen F.
A1  - Presley, Steven J.
A1  - Proença, Vânia
A1  - Quaranta, Marino
A1  - Quintero, Carolina
A1  - Redpath-Downing, Nicola A.
A1  - Reid, J. Leighton
A1  - Reis, Yana T.
A1  - Ribeiro, Danilo B.
A1  - Richardson, Barbara A.
A1  - Richardson, Michael J.
A1  - Robles, Carolina A.
A1  - Römbke, Jörg
A1  - Romero-Duque, Luz Piedad
A1  - Rosselli, Loreta
A1  - Rossiter, Stephen J.
A1  - Roulston, T'ai H.
A1  - Rousseau, Laurent
A1  - Sadler, Jonathan P.
A1  - Sáfián, Szbolcs
A1  - Saldaña-Vásquez, Romeo A.
A1  - Samnegård, Ulrika
A1  - Schüepp, Christof
A1  - Schweiger, Oliver
A1  - Sedlock, Jodi L.
A1  - Shahabuddin, Ghazala
A1  - Sheil, Douglas
A1  - Silva, Fernando A. B.
A1  - Slade, Eleanor
A1  - Smith-Pardo, Allan H.
A1  - Sodhi, Navjot S.
A1  - Somarriba, Eduardo J.
A1  - Sosa, Ramón A.
A1  - Stout, Jane C.
A1  - Struebig, Matthew J.
A1  - Sung, Yik-Hei
A1  - Threlfall, Caragh G.
A1  - Tonietto, Rebecca
A1  - Tóthmérész, Béla
A1  - Tscharntke, Teja
A1  - Turner, Edgar C.
A1  - Tylianakis, Jason M.
A1  - Vanbergen, Adam J.
A1  - Vassilev, Kiril
A1  - Verboven, Hans A. F.
A1  - Vergara, Carlos H.
A1  - Vergara, Pablo M.
A1  - Verhulst, Jort
A1  - Walker, Tony R.
A1  - Wang, Yanping
A1  - Watling, James I.
A1  - Wells, Konstans
A1  - Williams, Christopher D.
A1  - Willig, Michael R.
A1  - Woinarski, John C. Z.
A1  - Wolf, Jan H. D.
A1  - Woodcock, Ben A.
A1  - Yu, Douglas W.
A1  - Zailsev, Andreys
A1  - Collen, Ben
A1  - Ewers, Rob M.
A1  - Mace, Georgina M.
A1  - Purves, Drew W.
A1  - Scharlemann, Jörn P. W.
A1  - Pervis, Andy
T1  - The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts
JF  - Ecology and Evolution
N2  - Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - ). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.
KW  - urban-rural gradient
KW  - instensively managed farmland
KW  - Mexican coffee plantations
KW  - Bombus Spp. Hymenoptera
KW  - bumblebee nest density
KW  - data sharing
KW  - land use
KW  - habitat destruction
KW  - global change
KW  - land-use change
KW  - plant community composition
KW  - Northeastern Costa Rica
KW  - dung beetle coleoptera
KW  - bird species richness
Y1  - 2014
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-114425
VL  - 4
IS  - 24
ER  - 
TY  - JOUR
A1  - Rau, Monika
A1  - Schmitt, Johannes
A1  - Berg, Thomas
A1  - Kremer, Andreas E.
A1  - Stieger, Bruno
A1  - Spanaus, Katharina
A1  - Bengsch, Bertram
A1  - Romero, Marta R.
A1  - Marin, Jose J.
A1  - Keitel, Verena
A1  - Klinker, Hartwig
A1  - Tony, Hans-Peter
A1  - Müllhaupt, Beat
A1  - Geier, Andreas
T1  - Serum IP-10 levels and increased DPPIV activity are linked to circulating CXCR3+ T cells in cholestatic HCV patients
JF  - PLoS ONE
N2  - Background & aims
Serum interferon-gamma-inducible protein-10 (IP-10) is elevated in cholestatic liver diseases and predicts response to antiviral therapy in patients with chronic hepatitis C virus (HCV) infection. Dipeptidylpeptidase 4 (DPPIV) cleaves active IP-10 into an inactive form, which inhibits recruitment of CXCR3+ T cells to the liver. In this study the link between IP-10 levels, DPPIV activity in serum and CXCR3+ T cells is analysed in cholestatic and non-cholestatic liver patients.

Methods
In serum DPPIV activity (by enzymatic assay), IP-10 (by ELISA) and bile acids (BA) (by enzymatic assay) were analysed in 229 naive HCV genotype (GT) 1 patients and in 16 patients with cholestatic liver disease. In a prospective follow-up (FU) cohort of 27 HCV GT 1 patients peripheral CD3+CXCR3+, CD4+CXCR3+ and CD8+CXCR3+ cells were measured by FACS.

Results
In 229 HCV patients serum IP-10 levels correlated positively to DPPIV serum activity. Higher IP-10 levels and DPPIV activity were detected in cholestatic and in cirrhotic HCV patients. Increased IP-10 serum levels were associated with therapeutic non-response to antiviral treatment with pegylated-interferon and ribavirin. In the HCV FU cohort elevated IP-10 serum levels and increased BA were associated with higher frequencies of peripheral CD3+CXCR3+, CD4+CXCR3+ and CD8+CXCR3+ T cells. Positive correlation between serum IP-10 levels and DPPIV activity was likewise validated in patients with cholestatic liver diseases.

Conclusions
A strong correlation between elevated serum levels of IP-10 and DPPIV activity was seen in different cholestatic patient groups. Furthermore, in cholestatic HCV patients a functional link to increased numbers of peripheral CXCR3+ immune cells could be observed. The source of DPPIV release in cholestatic patients remains open.
KW  - hepatitis C virus
KW  - T cells
KW  - liver diseases
KW  - chemokines
KW  - cytotoxic T cells
KW  - immune cells
KW  - cirrhosis
KW  - bile
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-177674
VL  - 13
IS  - 12
ER  - 
TY  - JOUR
A1  - Okada, Michio
A1  - Rotenberg, Eli
A1  - Kevan, S. D.
A1  - Schäfer, J.
A1  - Ujfalussy, Balazs
A1  - Stocks, G. Malcolm
A1  - Genatempo, B.
A1  - Bruno, E.
A1  - Plummer, E. W.
T1  - Evolution of the electronic structure in \(Mo_{1-x}Re_x\) alloys
JF  - New Journal of Physics
N2  - We report a detailed experimental and theoretical study of the electronic structure of \(Mo_{1-x}Re_x\) random alloys. We have measured electronic band dispersions for clean and hydrogen-covered \(Mo_{1-x}Re_x\) ( 110) with x = 0-0.25 using angle-resolved photoemission spectroscopy. Our results suggest that the bulk and most surface electronic bands shift relative to the Fermi level systematically and approximately rigidly with Re concentration. We distinguish and quantify two contributions to these shifts: a raise of the Fermi energy and an increase of the overall bandwidth. Alloy bands calculated using the first-principles Korringa-Kohn-Rostoker coherent-potential-approximation method accurately predict both of these effects. As derived from the rigid band model, the Fermi energy shift is inversely related to the bulk density of states in this energy region. Using our results, we also characterize an electronic topological transition of the bulk Fermi surface and relate this to bulk transport properties. Finally, we distinguish effects beyond the rigid band approximation: a highly surface-localized state and a composition-dependent impact of the spin-orbit interaction.
KW  - topological transitions
KW  - surface state
KW  - metals
KW  - total energy
KW  - W(110)
KW  - hydrogen
KW  - mo
KW  - superconductivity
KW  - spectra
KW  - coherent potential approximation
Y1  - 2013
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-122993
SN  - 1367-2630
VL  - 15
IS  - 093010
ER  - 
TY  - JOUR
A1  - Antoniou, Antonis C.
A1  - Kuchenbaecker, Karoline B.
A1  - Soucy, Penny
A1  - Beesley, Jonathan
A1  - Chen, Xiaoqing
A1  - McGuffog, Lesley
A1  - Lee, Andrew
A1  - Barrowdale, Daniel
A1  - Healey, Sue
A1  - Sinilnikova, Olga M.
A1  - Caligo, Maria A.
A1  - Loman, Niklas
A1  - Harbst, Katja
A1  - Lindblom, Annika
A1  - Arver, Brita
A1  - Rosenquist, Richard
A1  - Karlsson, Per
A1  - Nathanson, Kate
A1  - Domchek, Susan
A1  - Rebbeck, Tim
A1  - Jakubowska, Anna
A1  - Lubinski, Jan
A1  - Jaworska, Katarzyna
A1  - Durda, Katarzyna
A1  - Zlowowcka-Perłowska, Elżbieta
A1  - Osorio, Ana
A1  - Durán, Mercedes
A1  - Andrés, Raquel
A1  - Benítez, Javier
A1  - Hamann, Ute
A1  - Hogervorst, Frans B.
A1  - van Os, Theo A.
A1  - Verhoef, Senno
A1  - Meijers-Heijboer, Hanne E. J.
A1  - Wijnen, Juul
A1  - Garcia, Encarna B. Gómez
A1  - Ligtenberg, Marjolijn J.
A1  - Kriege, Mieke
A1  - Collée, Margriet
A1  - Ausems, Margreet G. E. M.
A1  - Oosterwijk, Jan C.
A1  - Peock, Susan
A1  - Frost, Debra
A1  - Ellis, Steve D.
A1  - Platte, Radka
A1  - Fineberg, Elena
A1  - Evans, D. Gareth
A1  - Lalloo, Fiona
A1  - Jacobs, Chris
A1  - Eeles, Ros
A1  - Adlard, Julian
A1  - Davidson, Rosemarie
A1  - Cole, Trevor
A1  - Cook, Jackie
A1  - Paterson, Joan
A1  - Douglas, Fiona
A1  - Brewer, Carole
A1  - Hodgson, Shirley
A1  - Morrison, Patrick J.
A1  - Walker, Lisa
A1  - Rogers, Mark T.
A1  - Donaldson, Alan
A1  - Dorkins, Huw
A1  - Godwin, Andrew K.
A1  - Bove, Betsy
A1  - Stoppa-Lyonnet, Dominique
A1  - Houdayer, Claude
A1  - Buecher, Bruno
A1  - de Pauw, Antoine
A1  - Mazoyer, Sylvie
A1  - Calender, Alain
A1  - Léoné, Mélanie
A1  - Bressac-de Paillerets, Brigitte
A1  - Caron, Olivier
A1  - Sobol, Hagay
A1  - Frenay, Marc
A1  - Prieur, Fabienne
A1  - Ferrer, Sandra Fert
A1  - Mortemousque, Isabelle
A1  - Buys, Saundra
A1  - Daly, Mary
A1  - Miron, Alexander
A1  - Terry, Mary Beth
A1  - Hopper, John L.
A1  - John, Esther M.
A1  - Southey, Melissa
A1  - Goldgar, David
A1  - Singer, Christian F.
A1  - Fink-Retter, Anneliese
A1  - Muy-Kheng, Tea
A1  - Geschwantler Kaulich, Daphne
A1  - Hansen, Thomas V. O.
A1  - Nielsen, Finn C.
A1  - Barkardottir, Rosa B.
A1  - Gaudet, Mia
A1  - Kirchhoff, Tomas
A1  - Joseph, Vijai
A1  - Dutra-Clarke, Ana
A1  - Offit, Kenneth
A1  - Piedmonte, Marion
A1  - Kirk, Judy
A1  - Cohn, David
A1  - Hurteau, Jean
A1  - Byron, John
A1  - Fiorica, James
A1  - Toland, Amanda E.
A1  - Montagna, Marco
A1  - Oliani, Cristina
A1  - Imyanitov, Evgeny
A1  - Isaacs, Claudine
A1  - Tihomirova, Laima
A1  - Blanco, Ignacio
A1  - Lazaro, Conxi
A1  - Teulé, Alex
A1  - Del Valle, J.
A1  - Gayther, Simon A.
A1  - Odunsi, Kunle
A1  - Gross, Jenny
A1  - Karlan, Beth Y.
A1  - Olah, Edith
A1  - Teo, Soo-Hwang
A1  - Ganz, Patricia A.
A1  - Beattie, Mary S.
A1  - Dorfling, Cecelia M.
A1  - Jansen van Rensburg, Elizabeth
A1  - Diez, Orland
A1  - Kwong, Ava
A1  - Schmutzler, Rita K.
A1  - Wappenschmidt, Barbara
A1  - Engel, Christoph
A1  - Meindl, Alfons
A1  - Ditsch, Nina
A1  - Arnold, Norbert
A1  - Heidemann, Simone
A1  - Niederacher, Dieter
A1  - Preisler-Adams, Sabine
A1  - Gadzicki, Dorothea
A1  - Varon-Mateeva, Raymonda
A1  - Deissler, Helmut
A1  - Gehrig, Andrea
A1  - Sutter, Christian
A1  - Kast, Karin
A1  - Fiebig, Britta
A1  - Schäfer, Dieter
A1  - Caldes, Trinidad
A1  - de la Hoya, Miguel
A1  - Nevanlinna, Heli
A1  - Muranen, Taru A.
A1  - Lespérance, Bernard
A1  - Spurdle, Amanda B.
A1  - Neuhausen, Susan L.
A1  - Ding, Yuan C.
A1  - Wang, Xianshu
A1  - Fredericksen, Zachary
A1  - Pankratz, Vernon S.
A1  - Lindor, Noralane M.
A1  - Peterlongo, Paulo
A1  - Manoukian, Siranoush
A1  - Peissel, Bernard
A1  - Zaffaroni, Daniela
A1  - Bonanni, Bernardo
A1  - Bernard, Loris
A1  - Dolcetti, Riccardo
A1  - Papi, Laura
A1  - Ottini, Laura
A1  - Radice, Paolo
A1  - Greene, Mark H.
A1  - Loud, Jennifer T.
A1  - Andrulis, Irene L.
A1  - Ozcelik, Hilmi
A1  - Mulligan, Anna Marie
A1  - Glendon, Gord
A1  - Thomassen, Mads
A1  - Gerdes, Anne-Marie
A1  - Jensen, Uffe B.
A1  - Skytte, Anne-Bine
A1  - Kruse, Torben A.
A1  - Chenevix-Trench, Georgia
A1  - Couch, Fergus J.
A1  - Simard, Jacques
A1  - Easton, Douglas F.
T1  - Common variants at 12p11, 12q24, 9p21, 9q31.2 and in ZNF365 are associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers
JF  - Breast Cancer Research
N2  - Introduction: Several common alleles have been shown to be associated with breast and/or ovarian cancer risk for BRCA1 and BRCA2 mutation carriers. Recent genome-wide association studies of breast cancer have identified eight additional breast cancer susceptibility loci: rs1011970 (9p21, CDKN2A/B), rs10995190 (ZNF365), rs704010 (ZMIZ1), rs2380205 (10p15), rs614367 (11q13), rs1292011 (12q24), rs10771399 (12p11 near PTHLH) and rs865686 (9q31.2). 
Methods: To evaluate whether these single nucleotide polymorphisms (SNPs) are associated with breast cancer risk for BRCA1 and BRCA2 carriers, we genotyped these SNPs in 12,599 BRCA1 and 7,132 BRCA2 mutation carriers and analysed the associations with breast cancer risk within a retrospective likelihood framework. 
Results: Only SNP rs10771399 near PTHLH was associated with breast cancer risk for BRCA1 mutation carriers (per-allele hazard ratio (HR) = 0.87, 95% CI: 0.81 to 0.94, P-trend = 3 x 10\(^{-4}\)). The association was restricted to mutations proven or predicted to lead to absence of protein expression (HR = 0.82, 95% CI: 0.74 to 0.90, P-trend = 3.1 x 10\(^{-5}\), P-difference = 0.03). Four SNPs were associated with the risk of breast cancer for BRCA2 mutation carriers: rs10995190, P-trend = 0.015; rs1011970, P-trend = 0.048; rs865686, 2df P = 0.007; rs1292011 2df P = 0.03. rs10771399 (PTHLH) was predominantly associated with estrogen receptor (ER)-negative breast cancer for BRCA1 mutation carriers (HR = 0.81, 95% CI: 0.74 to 0.90, P-trend = 4 x 10\(^{-5}\)) and there was marginal evidence of association with ER- negative breast cancer for BRCA2 mutation carriers (HR = 0.78, 95% CI: 0.62 to 1.00, P-trend = 0.049). 
Conclusions: The present findings, in combination with previously identified modifiers of risk, will ultimately lead to more accurate risk prediction and an improved understanding of the disease etiology in BRCA1 and BRCA2 mutation carriers.
KW  - investigators
KW  - genetic modifiers
KW  - mammographic density
KW  - susceptibility loci
KW  - ovarian cancer
KW  - hormone-related protein
KW  - genome-wide association
KW  - tumor subtypes
KW  - alleles
KW  - consortium
Y1  - 2012
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-130449
VL  - 14
IS  - R33
ER  - 
TY  - JOUR
A1  - Manchia, Mirko
A1  - Adli, Mazda
A1  - Akula, Nirmala
A1  - Arda, Raffaella
A1  - Aubry, Jean-Michel
A1  - Backlund, Lena
A1  - Banzato, Claudio E. M.
A1  - Baune, Bernhard T.
A1  - Bellivier, Frank
A1  - Bengesser, Susanne
A1  - Biernacka, Joanna M.
A1  - Brichant-Petitjean, Clara
A1  - Bui, Elise
A1  - Calkin, Cynthia V.
A1  - Cheng, Andrew Tai Ann
A1  - Chillotti, Caterina
A1  - Cichon, Sven
A1  - Clark, Scott
A1  - Czerski, Piotr M.
A1  - Dantas, Clarissa
A1  - Del Zompo, Maria
A1  - DePaulo, J. Raymond
A1  - Detera-Wadleigh, Sevilla D.
A1  - Etain, Bruno
A1  - Falkai, Peter
A1  - Frisén, Louise
A1  - Frye, Mark A.
A1  - Fullerton, Jan
A1  - Gard, Sébastien
A1  - Garnham, Julie
A1  - Goes, Fernando S.
A1  - Grof, Paul
A1  - Gruber, Oliver
A1  - Hashimoto, Ryota
A1  - Hauser, Joanna
A1  - Heilbronner, Urs
A1  - Hoban, Rebecca
A1  - Hou, Liping
A1  - Jamain, Stéphane
A1  - Kahn, Jean-Pierre
A1  - Kassem, Layla
A1  - Kato, Tadafumi
A1  - Kelsoe, John R.
A1  - Kittel-Schneider, Sarah
A1  - Kliwicki, Sebastian
A1  - Kuo, Po-Hsiu
A1  - Kusumi, Ichiro
A1  - Laje, Gonzalo
A1  - Lavebratt, Catharina
A1  - Leboyer, Marion
A1  - Leckband, Susan G.
A1  - López Jaramillo, Carlos A.
A1  - Maj, Mario
A1  - Malafosse, Alain
A1  - Martinsson, Lina
A1  - Masui, Takuya
A1  - Mitchell, Philip B.
A1  - Mondimore, Frank
A1  - Monteleone, Palmiero
A1  - Nallet, Audrey
A1  - Neuner, Maria
A1  - Novák, Tomás
A1  - O'Donovan, Claire
A1  - Ösby, Urban
A1  - Ozaki, Norio
A1  - Perlis, Roy H.
A1  - Pfennig, Andrea
A1  - Potash, James B.
A1  - Reich-Erkelenz, Daniela
A1  - Reif, Andreas
A1  - Reininghaus, Eva
A1  - Richardson, Sara
A1  - Rouleau, Guy A.
A1  - Rybakowski, Janusz K.
A1  - Schalling, Martin
A1  - Schofield, Peter R.
A1  - Schubert, Oliver K.
A1  - Schweizer, Barbara
A1  - Seemüller, Florian
A1  - Grigoroiu-Serbanescu, Maria
A1  - Severino, Giovanni
A1  - Seymour, Lisa R.
A1  - Slaney, Claire
A1  - Smoller, Jordan W.
A1  - Squassina, Alessio
A1  - Stamm, Thomas
A1  - Steele, Jo
A1  - Stopkova, Pavla
A1  - Tighe, Sarah K.
A1  - Tortorella, Alfonso
A1  - Turecki, Gustavo
A1  - Wray, Naomi R.
A1  - Wright, Adam
A1  - Zandi, Peter P.
A1  - Zilles, David
A1  - Bauer, Michael
A1  - Rietschel, Marcella
A1  - McMahon, Francis J.
A1  - Schulze, Thomas G.
A1  - Alda, Martin
T1  - Assessment of Response to Lithium Maintenance Treatment in Bipolar Disorder: A Consortium on Lithium Genetics (ConLiGen) Report
JF  - PLoS ONE
N2  - Objective: The assessment of response to lithium maintenance treatment in bipolar disorder (BD) is complicated by variable length of treatment, unpredictable clinical course, and often inconsistent compliance. Prospective and retrospective methods of assessment of lithium response have been proposed in the literature. In this study we report the key phenotypic measures of the "Retrospective Criteria of Long-Term Treatment Response in Research Subjects with Bipolar Disorder" scale currently used in the Consortium on Lithium Genetics (ConLiGen) study. 
Materials and Methods: Twenty-nine ConLiGen sites took part in a two-stage case-vignette rating procedure to examine inter-rater agreement [Kappa (\(\kappa\))] and reliability [intra-class correlation coefficient (ICC)] of lithium response. Annotated first-round vignettes and rating guidelines were circulated to expert research clinicians for training purposes between the two stages. Further, we analyzed the distributional properties of the treatment response scores available for 1,308 patients using mixture modeling. 
Results: Substantial and moderate agreement was shown across sites in the first and second sets of vignettes (\(\kappa\) = 0.66 and \(\kappa\) = 0.54, respectively), without significant improvement from training. However, definition of response using the A score as a quantitative trait and selecting cases with B criteria of 4 or less showed an improvement between the two stages (\(ICC_1 = 0.71\) and \(ICC_2 = 0.75\), respectively). Mixture modeling of score distribution indicated three subpopulations (full responders, partial responders, non responders). 
Conclusions: We identified two definitions of lithium response, one dichotomous and the other continuous, with moderate to substantial inter-rater agreement and reliability. Accurate phenotypic measurement of lithium response is crucial for the ongoing ConLiGen pharmacogenomic study.
KW  - age
KW  - observer agreement
KW  - prophylactic lithium
KW  - mapping susceptibility genes
KW  - mood disorders
KW  - onset
KW  - association
KW  - reliability
KW  - morality
KW  - illness
Y1  - 2013
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-130938
VL  - 8
IS  - 6
ER  -