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Showing papers by "Henry Völzke published in 2017"


Journal ArticleDOI
TL;DR: Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls, and by contrast, the rise in BMI has accelerated in east and south Asia forboth sexes, and southeast Asia for boys.

4,317 citations


Journal ArticleDOI
Lianne Schmaal1, Derrek P. Hibar2, Philipp G. Sämann3, Geoffrey B. Hall4, Bernhard T. Baune5, Neda Jahanshad2, Joshua W. Cheung2, T.G.M. van Erp6, Daniel Bos7, M. A. Ikram7, Meike W. Vernooij7, Wiro J. Niessen7, Wiro J. Niessen8, Henning Tiemeier9, Henning Tiemeier7, A. Hofman7, Katharina Wittfeld10, Hans-Jörgen Grabe10, Hans-Jörgen Grabe11, Deborah Janowitz11, Robin Bülow11, M Selonke11, Henry Völzke11, Dominik Grotegerd12, Udo Dannlowski12, Udo Dannlowski13, Volker Arolt12, Nils Opel12, Walter Heindel12, Harald Kugel12, D. Hoehn3, Michael Czisch3, Baptiste Couvy-Duchesne14, Baptiste Couvy-Duchesne15, Miguel E. Rentería14, Lachlan T. Strike15, Margaret J. Wright15, Natalie T. Mills14, Natalie T. Mills15, G.I. de Zubicaray16, Katie L. McMahon15, Sarah E. Medland14, Nicholas G. Martin14, Nathan A. Gillespie17, Roberto Goya-Maldonado18, Oliver Gruber19, Bernd Krämer19, Sean N. Hatton20, Jim Lagopoulos20, Ian B. Hickie20, Thomas Frodl21, Thomas Frodl22, Angela Carballedo22, Eva-Maria Frey23, L. S. van Velzen1, B.W.J.H. Penninx1, M-J van Tol24, N.J. van der Wee25, Christopher G. Davey26, Ben J. Harrison26, Benson Mwangi27, Bo Cao27, Jair C. Soares27, Ilya M. Veer28, Henrik Walter28, D. Schoepf29, Bartosz Zurowski30, Carsten Konrad13, Elisabeth Schramm31, Claus Normann31, Knut Schnell19, Matthew D. Sacchet32, Ian H. Gotlib32, Glenda MacQueen33, Beata R. Godlewska34, Thomas Nickson35, Andrew M. McIntosh36, Andrew M. McIntosh35, Martina Papmeyer35, Martina Papmeyer37, Heather C. Whalley35, Jeremy Hall35, Jeremy Hall38, J.E. Sussmann35, Meng Li39, Martin Walter40, Martin Walter39, Lyubomir I. Aftanas, Ivan Brack, Nikolay A. Bokhan41, Nikolay A. Bokhan42, Nikolay A. Bokhan43, Paul M. Thompson2, Dick J. Veltman1 
TL;DR: In this article, the authors present the largest ever worldwide study by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Major Depressive Disorder Working Group on cortical structural alterations in MDD.
Abstract: The neuro-anatomical substrates of major depressive disorder (MDD) are still not well understood, despite many neuroimaging studies over the past few decades. Here we present the largest ever worldwide study by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Major Depressive Disorder Working Group on cortical structural alterations in MDD. Structural T1-weighted brain magnetic resonance imaging (MRI) scans from 2148 MDD patients and 7957 healthy controls were analysed with harmonized protocols at 20 sites around the world. To detect consistent effects of MDD and its modulators on cortical thickness and surface area estimates derived from MRI, statistical effects from sites were meta-analysed separately for adults and adolescents. Adults with MDD had thinner cortical gray matter than controls in the orbitofrontal cortex (OFC), anterior and posterior cingulate, insula and temporal lobes (Cohen's d effect sizes: -0.10 to -0.14). These effects were most pronounced in first episode and adult-onset patients (>21 years). Compared to matched controls, adolescents with MDD had lower total surface area (but no differences in cortical thickness) and regional reductions in frontal regions (medial OFC and superior frontal gyrus) and primary and higher-order visual, somatosensory and motor areas (d: -0.26 to -0.57). The strongest effects were found in recurrent adolescent patients. This highly powered global effort to identify consistent brain abnormalities showed widespread cortical alterations in MDD patients as compared to controls and suggests that MDD may impact brain structure in a highly dynamic way, with different patterns of alterations at different stages of life.

728 citations


Journal ArticleDOI
Felix R. Day1, Deborah J. Thompson1, Hannes Helgason2, Hannes Helgason3  +241 moreInstitutions (67)
TL;DR: In this article, the authors used 1000 Genomes Project-imputed genotype data in up to ∼370,000 women to identify 389 independent signals (P < 5 × 10-8) for age at menarche, a milestone in female pubertal development.
Abstract: The timing of puberty is a highly polygenic childhood trait that is epidemiologically associated with various adult diseases. Using 1000 Genomes Project-imputed genotype data in up to ∼370,000 women, we identify 389 independent signals (P < 5 × 10-8) for age at menarche, a milestone in female pubertal development. In Icelandic data, these signals explain ∼7.4% of the population variance in age at menarche, corresponding to ∼25% of the estimated heritability. We implicate ∼250 genes via coding variation or associated expression, demonstrating significant enrichment in neural tissues. Rare variants near the imprinted genes MKRN3 and DLK1 were identified, exhibiting large effects when paternally inherited. Mendelian randomization analyses suggest causal inverse associations, independent of body mass index (BMI), between puberty timing and risks for breast and endometrial cancers in women and prostate cancer in men. In aggregate, our findings highlight the complexity of the genetic regulation of puberty timing and support causal links with cancer susceptibility.

392 citations


Journal ArticleDOI
Amand F. Schmidt1, Daniel I. Swerdlow2, Daniel I. Swerdlow1, Michael V. Holmes3, Michael V. Holmes4, Riyaz S. Patel5, Riyaz S. Patel1, Zammy Fairhurst-Hunter6, Donald M. Lyall7, Fernando Pires Hartwig8, Bernardo L. Horta8, Elina Hyppönen9, Elina Hyppönen10, Christine Power9, Max Moldovan11, Max Moldovan10, Erik P A Van Iperen, G. Kees Hovingh, Ilja Demuth12, Kristina Norman12, Elisabeth Steinhagen-Thiessen12, Juri Demuth, Lars Bertram2, Lars Bertram13, Tian Liu14, Stefan Coassin15, Johann Willeit15, Stefan Kiechl15, Karin Willeit15, Dan Mason16, John Wright16, Richard W Morris17, Goya Wanamethee1, Peter H. Whincup18, Yoav Ben-Shlomo17, Stela McLachlan19, Jackie F. Price19, Mika Kivimäki1, Catherine Welch1, Adelaida Sanchez-Galvez1, Pedro Marques-Vidal20, Andrew N. Nicolaides2, Andrew N. Nicolaides21, Andrie G. Panayiotou22, N. Charlotte Onland-Moret23, Yvonne T. van der Schouw23, Giuseppe Matullo24, Giovanni Fiorito24, Simonetta Guarrera24, Carlotta Sacerdote25, Nicholas J. Wareham26, Claudia Langenberg26, Robert A. Scott26, Jian'an Luan26, Martin Bobak1, Sofia Malyutina27, Andrzej Pająk28, Ruzena Kubinova, Abdonas Tamosiunas29, Hynek Pikhart1, Lise Lotte N. Husemoen, Niels Grarup30, Oluf Pedersen30, Torben Hansen30, Allan Linneberg30, Kenneth Starup Simonsen, Jackie A. Cooper1, Steve E. Humphries1, Murray H. Brilliant31, Terrie Kitchner31, Hakon Hakonarson32, David Carrell33, Catherine A. McCarty, H. Lester Kirchner, Eric B. Larson33, David R. Crosslin33, Mariza de Andrade34, Dan M. Roden35, Joshua C. Denny35, Cara L. Carty36, Stephen Hancock37, John Attia37, Elizabeth G. Holliday37, Martin O'Donnell38, Salim Yusuf38, Michael Chong38, Guillaume Paré38, Pim van der Harst39, M. Abdullah Said39, Ruben N. Eppinga39, Niek Verweij39, Harold Snieder39, Tim Christen40, Dennis O. Mook-Kanamori40, Stefan Gustafsson41, Lars Lind41, Erik Ingelsson42, Erik Ingelsson41, Erik Ingelsson43, Raha Pazoki44, Oscar H. Franco44, Albert Hofman44, André G. Uitterlinden44, Abbas Dehghan2, Abbas Dehghan44, Alexander Teumer45, Sebastian E. Baumeister45, Sebastian E. Baumeister46, Marcus Dörr45, Markus M. Lerch45, Uwe Völker45, Henry Völzke45, Joey Ward7, Jill P. Pell7, Daniel J. Smith7, Tom W. Meade47, Anke H. Maitland-van der Zee23, Ekaterina V Baranova23, Robin Young48, Ian Ford48, Archie Campbell19, Sandosh Padmanabhan7, Michiel L. Bots23, Diederick E. Grobbee23, Philippe Froguel49, Philippe Froguel2, Dorothée Thuillier49, Beverley Balkau50, Amélie Bonnefond2, Amélie Bonnefond49, Bertrand Cariou51, Melissa C. Smart52, Yanchun Bao52, Meena Kumari52, Anubha Mahajan6, Paul M. Ridker53, Daniel I. Chasman53, Alexander P. Reiner54, Leslie A. Lange55, Marylyn D. Ritchie56, Marylyn D. Ritchie57, Folkert W. Asselbergs, Juan-Pablo Casas1, Brendan J. Keating58, David Preiss4, David Preiss3, Aroon D. Hingorani1, Naveed Sattar7 
University College London1, Imperial College London2, University of Oxford3, Clinical Trial Service Unit4, St Bartholomew's Hospital5, Wellcome Trust Centre for Human Genetics6, University of Glasgow7, Universidade Federal de Pelotas8, UCL Institute of Child Health9, University of South Australia10, European Bioinformatics Institute11, Charité12, University of Lübeck13, Max Planck Society14, Innsbruck Medical University15, Bradford Royal Infirmary16, University of Bristol17, St George's, University of London18, University of Edinburgh19, University of Lausanne20, University of Nicosia21, Cyprus University of Technology22, Utrecht University23, University of Turin24, Cancer Epidemiology Unit25, University of Cambridge26, Russian Academy27, Jagiellonian University28, Lithuanian University of Health Sciences29, University of Copenhagen30, Marshfield Clinic31, Children's Hospital of Philadelphia32, Group Health Research Institute33, Mayo Clinic34, Vanderbilt University35, George Washington University36, University of Newcastle37, Population Health Research Institute38, University Medical Center Groningen39, Leiden University Medical Center40, Uppsala University41, Stanford University42, Science for Life Laboratory43, Erasmus University Medical Center44, Greifswald University Hospital45, University of Regensburg46, University of London47, Robertson Centre for Biostatistics48, university of lille49, French Institute of Health and Medical Research50, University of Nantes51, University of Essex52, Brigham and Women's Hospital53, Fred Hutchinson Cancer Research Center54, University of Colorado Denver55, Geisinger Health System56, Pennsylvania State University57, University of Pennsylvania58
TL;DR: PCSK9 variants associated with lower LDL cholesterol were also associated with circulating higher fasting glucose concentration, bodyweight, and waist-to-hip ratio, and an increased risk of type 2 diabetes.

296 citations


Journal ArticleDOI
Mariaelisa Graff1, Robert A. Scott2, Anne E. Justice1, Kristin L. Young1  +346 moreInstitutions (101)
TL;DR: In additional genome-wide meta-analyses adjusting for PA and interaction with PA, 11 novel adiposity loci are identified, suggesting that accounting for PA or other environmental factors that contribute to variation in adiposity may facilitate gene discovery.
Abstract: Physical activity (PA) may modify the genetic effects that give rise to increased risk of obesity. To identify adiposity loci whose effects are modified by PA, we performed genome-wide interaction meta-analyses of BMI and BMI-adjusted waist circumference and waist-hip ratio from up to 200,452 adults of European (n = 180,423) or other ancestry (n = 20,029). We standardized PA by categorizing it into a dichotomous variable where, on average, 23% of participants were categorized as inactive and 77% as physically active. While we replicate the interaction with PA for the strongest known obesity-risk locus in the FTO gene, of which the effect is attenuated by ~30% in physically active individuals compared to inactive individuals, we do not identify additional loci that are sensitive to PA. In additional genome-wide meta-analyses adjusting for PA and interaction with PA, we identify 11 novel adiposity loci, suggesting that accounting for PA or other environmental factors that contribute to variation in adiposity may facilitate gene discovery.

275 citations


Journal ArticleDOI
Derrek P. Hibar1, Hieab H.H. Adams2, Neda Jahanshad1, Ganesh Chauhan3  +429 moreInstitutions (108)
TL;DR: It is shown that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg=−0.155), and these findings suggest novel biological pathways through which human genetic variation influences hippocampus volume and risk for neuropsychiatric illness.
Abstract: The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer’s disease (rg=−0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.

256 citations


01 Jan 2017
TL;DR: Using 1000 Genomes Project–imputed genotype data in up to ∼370,000 women, 389 independent signals for age at menarche, a milestone in female pubertal development are identified, highlighting the complexity of the genetic regulation of puberty timing and support causal links with cancer susceptibility.

229 citations


Journal ArticleDOI
Mathias Gorski, Peter J. van der Most, Alexander Teumer, Audrey Y. Chu, Man Li, Vladan Mijatovic, Ilja M. Nolte, Massimiliano Cocca, Daniel Taliun, Felicia Gomez, Yong Li, Bamidele O. Tayo, Adrienne Tin1, Mary F. Feitosa, Thor Aspelund, John Attia, Reiner Biffar, Murielle Bochud, Eric Boerwinkle, Ingrid B. Borecki, Erwin P. Bottinger, Ming-Huei Chen, Vincent Chouraki, Marina Ciullo, Josef Coresh1, Marilyn C. Cornelis, Gary C. Curhan, Adamo Pio d. Adamo, Abbas Dehghan, Laura Dengler, Jingzhong Ding, Gudny Eiriksdottir, Karlhans Endlich, Stefan Enroth, Tõnu Esko, Oscar H. Franco, Paolo Gasparini, Christian Gieger, Giorgia Girotto, Omri Gottesman, Vilmundur Gudnason, Ulf Gyllensten, Stephen Hancock, Tamara B. Harris, Catherine Helmer, Simon Höllerer, Edith Hofer, Albert Hofman, Elizabeth G. Holliday, Georg Homuth, Frank B. Hu, Cornelia Huth, Nina Hutri-Kähönen, Shih-Jen Hwang, Medea Imboden, Åsa Johansson, Mika Kähönen, Wolfgang König, Holly Kramer, Bernhard K. Krämer, Ashok Kumar, Zoltán Kutalik, Jean-Charles Lambert, Lenore J. Launer, Terho Lehtimäki, Martin H. de Borst, Gerjan Navis, Morris A. Swertz, Yongmei Liu, Kurt Lohman, Ruth J. F. Loos, Yingchang Lu, Leo-Pekka Lyytikäinen, Mark McEvoy, Christa Meisinger, Thomas Meitinger, Andres Metspalu, Marie Metzger, Evelin Mihailov, Paul Mitchell, Matthias Nauck, Albertine J. Oldehinkel, Matthias Olden, Brenda W.J.H. Penninx, Giorgio Pistis, Peter P. Pramstaller, Nicole Probst-Hensch, Olli T. Raitakari, Rainer Rettig, Paul M. Ridker, Fernando Rivadeneira, Antonietta Robino, Sylvia E. Rosas, Douglas M. Ruderfer, Daniela Ruggiero, Yasaman Saba, Cinzia Sala, Helena Schmidt, Reinhold E. Schmidt, Rodney J. Scott, Sanaz Sedaghat, Albert V. Smith, Rossella Sorice, Bénédicte Stengel, Sylvia Stracke, Konstantin Strauch, Daniela Toniolo, André G. Uitterlinden, Sheila Ulivi, Jorma Viikari, Uwe Völker, Peter Vollenweider, Henry Völzke, Dragana Vuckovic, Melanie Waldenberger, Jie Jin Wang, Qiong Yang, Daniel I. Chasman, Gerard Tromp, Harold Snieder, Iris M. Heid, Caroline S. Fox, Anna Köttgen, Cristian Pattaro, Carsten A. Böger, Christian Fuchsberger 
TL;DR: This corrects the article DOI: 10.1038/srep45040 to indicate that the author of the paper is a doctor of medicine rather than a scientist, as previously reported.
Abstract: Scientific Reports 7: Article number: 45040; published online: 28 April 2017; updated: 26 May 2017 The original version of this Article contained a typographical error in the spelling of the author Martin H. de Borst, which was incorrectly given as Martin de Borst. This has now been corrected in both the PDF and HTML versions of the Article.

167 citations


Journal ArticleDOI
Anne E. Justice1, Thomas W. Winkler2, Mary F. Feitosa3, Misa Graff1  +367 moreInstitutions (97)
TL;DR: The results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution, and highlight the importance of accounting for environment in genetic analyses.
Abstract: Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution.

159 citations


Journal ArticleDOI
TL;DR: In euthyroid individuals, higher circulating fT4 levels, but not TSH levels, are associated with increased risk of incident AF.
Abstract: Background -Atrial fibrillation (AF) is a highly prevalent disorder leading to heart failure, stroke, and death. Enhanced understanding of modifiable risk factors may yield opportunities for prevention. The risk of AF is increased in subclinical hyperthyroidism, but it is uncertain whether variations in thyroid function within the normal range or subclinical hypothyroidism are also associated with AF. Methods -We conducted a systematic review and obtained individual participant data from prospective cohort studies that measured thyroid function at baseline and assessed incident AF. Studies were identified from MEDLINE and EMBASE databases from inception to July 27, 2016. The euthyroid state was defined as thyroid-stimulating hormone (TSH) 0.45 to 4.49 mIU/L, and subclinical hypothyroidism as TSH 4.5 to 19.9 mIU/L with free thyroxine (fT4) levels within reference range. The association of TSH levels in the euthyroid and subclinical hypothyroid range with incident AF was examined by using Cox proportional hazards models. In euthyroid participants, we additionally examined the association between fT4 levels and incident AF. Results -Of 30 085 participants from 11 cohorts (278 955 person-years of follow-up), 1958 (6.5%) had subclinical hypothyroidism and 2574 individuals (8.6%) developed AF during follow-up. TSH at baseline was not significantly associated with incident AF in euthyroid participants or those with subclinical hypothyroidism. Higher fT4 levels at baseline in euthyroid individuals were associated with increased AF risk in ageand sex-adjusted analyses (hazard ratio, 1.45; 95% confidence interval, 1.26-1.66, for the highest quartile versus the lowest quartile of fT4; P for trend ≤0.001 across quartiles). Estimates did not substantially differ after further adjustment for preexisting cardiovascular disease. Conclusions -In euthyroid individuals, higher circulating fT4 levels, but not TSH levels, are associated with increased risk of incident AF.

130 citations


Journal ArticleDOI
TL;DR: A meta-analysis of genome-wide association studies for whole body lean body mass and five novel genetic loci to be significantly associated is performed and provides new insight into the genetics ofLean body mass.
Abstract: Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 × 10−8) or suggestively genome wide (p < 2.3 × 10−6). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass.

Journal ArticleDOI
TL;DR: Functional analysis of these genes showed that loss of function of either Atxn1 or Ube2e2 in primary mouse adipose progenitor cells impaired adipocyte differentiation, suggesting physiological roles for ATXN1 and UBE2E2 in adipogenesis.
Abstract: Variation in body fat distribution contributes to the metabolic sequelae of obesity. The genetic determinants of body fat distribution are poorly understood. The goal of this study was to gain new insights into the underlying genetics of body fat distribution by conducting sample-size-weighted fixed-effects genome-wide association meta-analyses in up to 9,594 women and 8,738 men of European, African, Hispanic and Chinese ancestry, with and without sex stratification, for six traits associated with ectopic fat (hereinafter referred to as ectopic-fat traits). In total, we identified seven new loci associated with ectopic-fat traits (ATXN1, UBE2E2, EBF1, RREB1, GSDMB, GRAMD3 and ENSA; P < 5 × 10-8; false discovery rate < 1%). Functional analysis of these genes showed that loss of function of either Atxn1 or Ube2e2 in primary mouse adipose progenitor cells impaired adipocyte differentiation, suggesting physiological roles for ATXN1 and UBE2E2 in adipogenesis. Future studies are necessary to further explore the mechanisms by which these genes affect adipocyte biology and how their perturbations contribute to systemic metabolic disease.

Journal ArticleDOI
Philipp S. Wild1, Janine F. Felix2, Arne Schillert3, Alexander Teumer4, Ming-Huei Chen5, Maarten J.G. Leening2, Uwe Völker6, Vera Großmann1, Jennifer A. Brody7, Marguerite R. Irvin8, Sanjiv J. Shah9, Setia Pramana10, Wolfgang Lieb11, Reinhold Schmidt12, Alice Stanton13, Dörthe Malzahn14, Albert V. Smith15, Johan Sundström16, Cosetta Minelli17, Daniela Ruggiero, Leo-Pekka Lyytikäinen, Daniel Tiller18, J. Gustav Smith19, J. Gustav Smith20, J. Gustav Smith21, Claire Monnereau2, Marco R. Di Tullio22, Solomon K. Musani23, Alanna C. Morrison24, Tune H. Pers, Michael Morley25, Marcus E. Kleber26, Jayashri Aragam21, Emelia J. Benjamin27, Emelia J. Benjamin5, Joshua C. Bis7, Egbert Bisping12, Ulrich Broeckel28, Susan Cheng5, Susan Cheng21, Susan Cheng27, Jaap W. Deckers2, Fabiola Del Greco M3, Frank Edelmann29, Myriam Fornage24, Lude Franke30, Nele Friedrich4, Tamara B. Harris27, Edith Hofer12, Albert Hofman2, Jie Huang21, Alun D. Hughes31, Mika Kähönen32, Knhi investigators3, Knhi investigators33, Jochen Kruppa3, Jochen Kruppa33, Karl J. Lackner1, Lars Lannfelt16, Rafael Laskowski1, Lenore J. Launer27, Margret Leosdottir20, Honghuang Lin27, Honghuang Lin5, Cecilia M. Lindgren34, Cecilia M. Lindgren21, Christina Loley3, Calum A. MacRae21, Deborah Mascalzoni3, Jamil Mayet17, Jamil Mayet35, Daniel Medenwald18, Andrew P. Morris36, Andrew P. Morris34, Christian P. Müller, Martina Müller-Nurasyid37, Stefania Nappo38, Peter M. Nilsson20, Sebastian Nuding18, Teresa Nutile38, Annette Peters, Arne Pfeufer, Diana Pietzner18, Peter P. Pramstaller3, Peter P. Pramstaller24, Olli T. Raitakari39, Kenneth Rice7, Fernando Rivadeneira2, Jerome I. Rotter40, Saku Ruohonen39, Ralph L. Sacco41, Tandaw E. Samdarshi23, Helena Schmidt12, Andrew S.P. Sharp42, Denis C. Shields43, Rossella Sorice38, Nona Sotoodehnia7, Bruno H. Stricker2, Praveen Surendran13, Praveen Surendran43, Simon Thom17, Simon Thom35, Anna Maria Töglhofer12, André G. Uitterlinden2, Rolf Wachter14, Henry Völzke4, Andreas Ziegler3, Andreas Ziegler44, Thomas Münzel1, Winfried März12, Winfried März26, Winfried März45, Thomas P. Cappola25, Joel N. Hirschhorn21, Joel N. Hirschhorn19, Gary F. Mitchell, Nicholas L. Smith46, Nicholas L. Smith47, Nicholas L. Smith7, Ervin R. Fox23, Nicole Dueker41, Vincent W. V. Jaddoe2, Olle Melander20, Martin Russ18, Terho Lehtimäki, Marina Ciullo, Andrew A. Hicks3, Lars Lind16, Vilmundur Gudnason15, Burkert Pieske12, Burkert Pieske29, Anthony J. Barron17, Anthony J. Barron35, Robert Zweiker12, Heribert Schunkert48, Erik Ingelsson49, Erik Ingelsson16, Kiang Liu9, Donna K. Arnett8, Bruce M. Psaty7, Bruce M. Psaty46, Stefan Blankenberg, Martin G. Larson5, Stephan B. Felix4, Oscar H. Franco2, Tanja Zeller, Ramachandran S. Vasan5, Marcus Dörr4 
TL;DR: The additional genetic loci identified in this large meta-analysis of cardiac structure and function provide insights into the underlying genetic architecture of cardiac architecture and warrant follow-up in future functional studies.
Abstract: BACKGROUND. Understanding the genetic architecture of cardiac structure and function may help to prevent and treat heart disease. This investigation sought to identify common genetic variations associated with inter-individual variability in cardiac structure and function. METHODS. A GWAS meta-analysis of echocardiographic traits was performed, including 46,533 individuals from 30 studies (EchoGen consortium). The analysis included 16 traits of left ventricular (LV) structure, and systolic and diastolic function. RESULTS. The discovery analysis included 21 cohorts for structural and systolic function traits (n = 32,212) and 17 cohorts for diastolic function traits (n = 21,852). Replication was performed in 5 cohorts (n = 14,321) and 6 cohorts (n = 16,308), respectively. Besides 5 previously reported loci, the combined meta-analysis identified 10 additional genome-wide significant SNPs: rs12541595 near MTSS1 and rs10774625 in ATXN2 for LV end-diastolic internal dimension; rs806322 near KCNRG, rs4765663 in CACNA1C, rs6702619 near PALMD, rs7127129 in TMEM16A, rs11207426 near FGGY, rs17608766 in GOSR2, and rs17696696 in CFDP1 for aortic root diameter; and rs12440869 in IQCH for Doppler transmitral A-wave peak velocity. Findings were in part validated in other cohorts and in GWAS of related disease traits. The genetic loci showed associations with putative signaling pathways, and with gene expression in whole blood, monocytes, and myocardial tissue. CONCLUSION. The additional genetic loci identified in this large meta-analysis of cardiac structure and function provide insights into the underlying genetic architecture of cardiac structure and warrant follow-up in future functional studies.

01 Jan 2017
TL;DR: In this paper, the authors used GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI.
Abstract: Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution.

Journal ArticleDOI
Mathias Gorski1, Peter J. van der Most2, Alexander Teumer3, Audrey Y. Chu4, Audrey Y. Chu5, Man Li6, Man Li7, Vladan Mijatovic8, Ilja M. Nolte2, Massimiliano Cocca9, Daniel Taliun, Felicia Gomez10, Yong Li11, Bamidele O. Tayo12, Adrienne Tin6, Mary F. Feitosa10, Thor Aspelund13, John Attia14, Reiner Biffar3, Murielle Bochud15, Eric Boerwinkle16, Ingrid B. Borecki17, Erwin P. Bottinger18, Ming-Huei Chen5, Vincent Chouraki19, Marina Ciullo20, Josef Coresh6, Marilyn C. Cornelis21, Gary C. Curhan4, Adamo Pio D'Adamo9, Abbas Dehghan22, Laura Dengler1, Jingzhong Ding23, Gudny Eiriksdottir, Karlhans Endlich3, Stefan Enroth24, Tõnu Esko25, Oscar H. Franco22, Paolo Gasparini9, Christian Gieger, Giorgia Girotto9, Omri Gottesman18, Vilmundur Gudnason13, Ulf Gyllensten24, Stephen Hancock14, Tamara B. Harris5, Catherine Helmer26, Catherine Helmer27, Simon Höllerer1, Edith Hofer28, Albert Hofman22, Elizabeth G. Holliday, Georg Homuth3, Frank B. Hu4, Cornelia Huth, Nina Hutri-Kähönen, Shih-Jen Hwang5, Medea Imboden29, Medea Imboden30, Åsa Johansson24, Mika Kähönen, Wolfgang König31, Wolfgang König32, Holly Kramer12, Bernhard K. Krämer33, Ashok Kumar34, Ashok Kumar29, Ashok Kumar30, Zoltán Kutalik15, Jean-Charles Lambert19, Lenore J. Launer5, Terho Lehtimäki, Martin H. de Borst2, Gerjan Navis2, Morris A. Swertz2, Yongmei Liu23, Kurt Lohman23, Ruth J. F. Loos35, Ruth J. F. Loos18, Yingchang Lu18, Leo-Pekka Lyytikäinen, Mark McEvoy14, Christa Meisinger, Thomas Meitinger31, Andres Metspalu25, Marie Metzger36, Evelin Mihailov25, Paul Mitchell37, Matthias Nauck38, Albertine J. Oldehinkel2, Matthias Olden1, Matthias Olden5, Brenda W.J.H. Penninx39, Giorgio Pistis, Peter P. Pramstaller, Nicole Probst-Hensch29, Nicole Probst-Hensch30, Olli T. Raitakari40, Rainer Rettig3, Paul M. Ridker4, Fernando Rivadeneira22, Antonietta Robino, Sylvia E. Rosas4, Douglas M. Ruderfer18, Daniela Ruggiero, Yasaman Saba28, Cinzia Sala, Helena Schmidt28, Reinhold Schmidt28, Rodney J. Scott14, Sanaz Sedaghat22, Albert V. Smith13, Rossella Sorice20, Bénédicte Stengel36, Sylvia Stracke3, Konstantin Strauch41, Daniela Toniolo, André G. Uitterlinden22, Sheila Ulivi, Jorma Viikari40, Uwe Völker38, Peter Vollenweider15, Henry Völzke38, Dragana Vuckovic9, Melanie Waldenberger, Jie Jin Wang37, Qiong Yang42, Daniel I. Chasman4, Daniel I. Chasman43, Gerard Tromp44, Harold Snieder2, Iris M. Heid1, Caroline S. Fox5, Anna Köttgen11, Anna Köttgen6, Cristian Pattaro, Carsten A. Böger1, Christian Fuchsberger 
TL;DR: A GWAS meta-analysis of kidney function based on the estimated glomerular filtration rate in 110,517 European ancestry participants using 1000 Genomes imputed data identified 10 novel loci with p-value < 5 × 10−8 previously missed by HapMap-based GWAS, which highlight the utility of re-imputing from denser reference panels, until whole-genome sequencing becomes feasible in large samples.
Abstract: HapMap imputed genome-wide association studies (GWAS) have revealed >50 loci at which common variants with minor allele frequency >5% are associated with kidney function. GWAS using more complete reference sets for imputation, such as those from The 1000 Genomes project, promise to identify novel loci that have been missed by previous efforts. To investigate the value of such a more complete variant catalog, we conducted a GWAS meta-analysis of kidney function based on the estimated glomerular filtration rate (eGFR) in 110,517 European ancestry participants using 1000 Genomes imputed data. We identified 10 novel loci with p-value < 5 × 10(-8) previously missed by HapMap-based GWAS. Six of these loci (HOXD8, ARL15, PIK3R1, EYA4, ASTN2, and EPB41L3) are tagged by common SNPs unique to the 1000 Genomes reference panel. Using pathway analysis, we identified 39 significant (FDR < 0.05) genes and 127 significantly (FDR < 0.05) enriched gene sets, which were missed by our previous analyses. Among those, the 10 identified novel genes are part of pathways of kidney development, carbohydrate metabolism, cardiac septum development and glucose metabolism. These results highlight the utility of re-imputing from denser reference panels, until whole-genome sequencing becomes feasible in large samples.

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TL;DR: It is shown that the underlying cause of catatonic signs is the low-grade inflammation of white matter tracts, which marks a final common pathway in Cnp-deficient and other mutant mice with minor myelin abnormalities.
Abstract: The underlying cellular mechanisms of catatonia, an executive "psychomotor" syndrome that is observed across neuropsychiatric diseases, have remained obscure. In humans and mice, reduced expression of the structural myelin protein CNP is associated with catatonic signs in an age-dependent manner, pointing to the involvement of myelin-producing oligodendrocytes. Here, we showed that the underlying cause of catatonic signs is the low-grade inflammation of white matter tracts, which marks a final common pathway in Cnp-deficient and other mutant mice with minor myelin abnormalities. The inhibitor of CSF1 receptor kinase signaling PLX5622 depleted microglia and alleviated the catatonic symptoms of Cnp mutants. Thus, microglia and low-grade inflammation of myelinated tracts emerged as the trigger of a previously unexplained mental condition. We observed a very high (25%) prevalence of individuals with catatonic signs in a deeply phenotyped schizophrenia sample (n = 1095). Additionally, we found the loss-of-function allele of a myelin-specific gene (CNP rs2070106-AA) associated with catatonia in 2 independent schizophrenia cohorts and also associated with white matter hyperintensities in a general population sample. Since the catatonic syndrome is likely a surrogate marker for other executive function defects, we suggest that microglia-directed therapies may be considered in psychiatric disorders associated with myelin abnormalities.

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TL;DR: This is by far the largest neuroimaging meta-analysis of suicidal behaviour in MDD to date and highlights the need for collecting better-powered imaging samples and using improved suicidality assessment instruments.
Abstract: The aetiology of suicidal behaviour is complex, and knowledge about its neurobiological mechanisms is limited. Neuroimaging methods provide a noninvasive approach to explore the neural correlates of suicide vulnerability in vivo. The ENIGMA-MDD Working Group is an international collaboration evaluating neuroimaging and clinical data from thousands of individuals collected by research groups from around the world. Here we present analyses in a subset sample (n=3097) for whom suicidality data were available. Prevalence of suicidal symptoms among major depressive disorder (MDD) cases ranged between 29 and 69% across cohorts. We compared mean subcortical grey matter volumes, lateral ventricle volumes and total intracranial volume (ICV) in MDD patients with suicidal symptoms (N=451) vs healthy controls (N=1996) or MDD patients with no suicidal symptoms (N=650). MDD patients reporting suicidal plans or attempts showed a smaller ICV (P=4.12 × 10-3) or a 2.87% smaller volume compared with controls (Cohen's d=-0.284). In addition, we observed a nonsignificant trend in which MDD cases with suicidal symptoms had smaller subcortical volumes and larger ventricular volumes compared with controls. Finally, no significant differences (P=0.28-0.97) were found between MDD patients with and those without suicidal symptoms for any of the brain volume measures. This is by far the largest neuroimaging meta-analysis of suicidal behaviour in MDD to date. Our results did not replicate previous reports of association between subcortical brain structure and suicidality and highlight the need for collecting better-powered imaging samples and using improved suicidality assessment instruments.

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TL;DR: In a white German population, the prevalence of fatty liver diseases and liver iron overload is 42.2% and 17.4% respectively, whereas liver fat is associated with predictors related to the metabolic syndrome, liver iron content is mainly associated with mean serum corpuscular hemoglobin.
Abstract: Hepatic steatosis had a prevalence of 42.2% (1082 of 2561), whereas liver iron overload was found in 17.4% (447 of 2561) of participants; although liver fat content is associated with changes connected with the metabolic syndrome, liver iron content is associated with mean serum corpuscular hemoglobin, male sex, and age.

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27 Apr 2017-PLOS ONE
TL;DR: The results suggest that there is a causal effect of BMI on serum testosterone in men, and population level interventions to reduce BMI are expected to increase serumosterone in men.
Abstract: Context Obesity in men is associated with low serum testosterone and both are associated with several diseases and increased mortality. Objectives Examine the direction and causality of the relationship between body mass index (BMI) and serum testosterone. Design Bi-directional Mendelian randomization (MR) analysis on prospective cohorts. Setting Five cohorts from Denmark, Germany and Sweden (Inter99, SHIP, SHIP Trend, GOOD and MrOS Sweden). Participants 7446 Caucasian men, genotyped for 97 BMI-associated SNPs and three testosterone-associated SNPs. Main outcome measures BMI and serum testosterone adjusted for age, smoking, time of blood sampling and site. Results 1 SD genetically instrumented increase in BMI was associated with a 0.25 SD decrease in serum testosterone (IV ratio: -0.25, 95% CI: -0.42-0.09, p = 2.8∗10-3). For a body weight reduction altering the BMI from 30 to 25 kg/m2, the effect would equal a 13% increase in serum testosterone. No association was seen for genetically instrumented testosterone with BMI, a finding that was confirmed using large-scale data from the GIANT consortium (n = 104349). Conclusions Our results suggest that there is a causal effect of BMI on serum testosterone in men. Population level interventions to reduce BMI are expected to increase serum testosterone in men. (Less)

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TL;DR: All subcategories of childhood adversity were negatively associated with caudate volumes in females - in particular emotional neglect and physical neglect (independently from age, ICV, imaging site and MDD diagnosis), and there was no interaction effect between childhood adversity andMDD diagnosis on subcortical brain volumes.

Journal ArticleDOI
01 Feb 2017-Obesity
TL;DR: This study aimed to confirm existing assumptions about the associations of circulating chemerin with inflammatory and metabolic parameters in a large population‐based study.
Abstract: Objective This study aimed to confirm existing assumptions about the associations of circulating chemerin with inflammatory and metabolic parameters in a large population-based study. Methods Data of 3,986 subjects from the Study of Health in Pomerania were analyzed. Residual method was used to investigate the different associations of visceral (VAT) and subcutaneous adipose tissue (SAT) with serum chemerin levels. Multivariable regression models were applied to examine the association of chemerin with high-sensitivity C-reactive protein, fibrinogen, glucose, glycated hemoglobin, lipid profile, blood pressure, diabetes, dyslipidemia, and hypertension. Results Positive associations with chemerin were observed for VAT and SAT with a stronger relation found for VAT. After adjustment for waist circumference, increased chemerin levels were related to higher inflammatory cytokines and glycated hemoglobin and an unfavorable lipid profile. Logistic regression revealed positive associations of chemerin with dyslipidemia [highest vs. lowest quartile: odds ratio (OR) 1.56 (95% confidence interval (CI) 1.25-1.94)] and hypertension [OR 1.31 (95% CI 1.03-1.68)]. Conclusions Chemerin levels are significantly linked to inflammation and metabolic syndrome. The majority of the detected associations persisted even after adjustment for waist circumference, suggesting that the relation of chemerin with the analyzed traits cannot be solely explained by an accumulation of adipose tissue.

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Tim B. Bigdeli1, Stephan Ripke2, Roseann E. Peterson1, Maciej Trzaskowski3, S-A Bacanu1, Abdel Abdellaoui4, Till F. M. Andlauer5, A.T.F. Beekman6, Klaus Berger7, Douglas Blackwood8, Dorret I. Boomsma4, Gerome Breen9, Henriette N. Buttenschøn10, Enda M. Byrne3, Sven Cichon, Toni Clarke8, Baptiste Couvy-Duchesne11, Baptiste Couvy-Duchesne3, Nicholas John Craddock12, E.J.C. de Geus6, E.J.C. de Geus4, Franziska Degenhardt13, Erin C. Dunn14, Erin C. Dunn15, Alexis C. Edwards1, Ayman H. Fanous16, Andreas J. Forstner13, Josef Frank17, Michael Gill18, Scott D. Gordon11, Hans-Jörgen Grabe19, Steven P. Hamilton20, Orla Hardiman18, Caroline Hayward8, A. C. Heath21, Anjali K. Henders3, Stefan Herms13, Stefan Herms22, Ian B. Hickie23, Peter Hoffmann22, Peter Hoffmann13, Georg Homuth24, J-J Hottenga4, Marcus Ising5, Rick Jansen6, Stefan Kloiber5, James A. Knowles25, Maren Lang17, Qingqin S. Li26, Susanne Lucae5, Donald J. MacIntyre8, Peter Madden21, Nicholas G. Martin3, Nicholas G. Martin11, Patrick J. McGrath27, Peter McGuffin9, Andrew M. McIntosh8, Sarah E. Medland11, Divya Mehta3, Christel M. Middeldorp4, Y. Milaneschi6, Grant W. Montgomery3, Ole Mors28, Bertram Müller-Myhsok29, Bertram Müller-Myhsok5, M. Nauck19, Dale R. Nyholt30, M. M. Nöthen13, Michael John Owen12, Brenda W.J.H. Penninx6, Michele L. Pergadia31, Roy H. Perlis14, Wouter J. Peyrot6, David J. Porteous8, James B. Potash32, John P. Rice21, Marcella Rietschel17, Brien P. Riley1, Margarita Rivera9, Margarita Rivera33, Robert A. Schoevers34, Thomas G. Schulze17, Jing Shi, Stanley I. Shyn35, Jan Smit6, Jordan W. Smoller15, Jordan W. Smoller14, Fabian Streit17, Jana Strohmaier17, Alexander Teumer19, Jens Treutlein17, S Van der Auwera19, G van Grootheest6, A.M. van Hemert36, Henry Völzke19, Bradley T. Webb1, Myrna M. Weissman37, Jürgen Wellmann7, Gonneke Willemsen4, Stephanie H. Witt17, Douglas F. Levinson38, Cathryn M. Lewis9, Naomi R. Wray3, Jonathan Flint39, Jonathan Flint40, Patrick F. Sullivan41, Kenneth S. Kendler1 
TL;DR: A partially shared polygenic basis of MDD in East Asian and European populations is successfully demonstrated and this findings support a complex etiology for MDD and possible population differences in predisposing genetic factors.
Abstract: Major depressive disorder (MDD) is a common, complex psychiatric disorder and a leading cause of disability worldwide. Despite twin studies indicating its modest heritability (~30-40%), extensive heterogeneity and a complex genetic architecture have complicated efforts to detect associated genetic risk variants. We combined single-nucleotide polymorphism (SNP) summary statistics from the CONVERGE and PGC studies of MDD, representing 10 502 Chinese (5282 cases and 5220 controls) and 18 663 European (9447 cases and 9215 controls) subjects. We determined the fraction of SNPs displaying consistent directions of effect, assessed the significance of polygenic risk scores and estimated the genetic correlation of MDD across ancestries. Subsequent trans-ancestry meta-analyses combined SNP-level evidence of association. Sign tests and polygenic score profiling weakly support an overlap of SNP effects between East Asian and European populations. We estimated the trans-ancestry genetic correlation of lifetime MDD as 0.33; female-only and recurrent MDD yielded estimates of 0.40 and 0.41, respectively. Common variants downstream of GPHN achieved genome-wide significance by Bayesian trans-ancestry meta-analysis (rs9323497; log10 Bayes Factor=8.08) but failed to replicate in an independent European sample (P=0.911). Gene-set enrichment analyses indicate enrichment of genes involved in neuronal development and axonal trafficking. We successfully demonstrate a partially shared polygenic basis of MDD in East Asian and European populations. Taken together, these findings support a complex etiology for MDD and possible population differences in predisposing genetic factors, with important implications for future genetic studies.

Journal ArticleDOI
TL;DR: Investigation of epidemiologic associations between periodontitis and the incidence of non-alcoholic fatty liver disease among 2,623 participants of the Study of Health in Pomerania found history ofperiodontitis may be a risk factor for NAFLD.
Abstract: Background Non-alcoholic fatty liver disease (NAFLD) affects 20-30% of adults with risk factors like obesity and insulin resistance putatively acting through chronic low-grade inflammation. Because periodontitis elicits low-grade inflammation, we hypothesized that it could contribute to NAFLD occurrence. Objective To investigate epidemiologic associations between periodontitis and the incidence of NAFLD among 2,623 participants of the Study of Health in Pomerania Methods Periodontitis at baseline was defined as the percentage of sites (0%, 1-30%, ≥30%) with 1) clinical attachment level (CAL) ≥3mm; 2) probing pocket depth (PD) ≥4mm. Incident NAFLD was defined as a significant increase in liver echogenicity on ultrasound relative to the kidneys, with the diaphragm indistinct OR the echogenic walls of the portal veins invisible Results After a median 7·7 years of follow-up, 605 incident NAFLD cases occurred at a rate of 32·5 cases per 1,000 person-years. Relative to participants without CAL ≥3mm, NAFLD incidence was elevated slightly in participants with 1-<30% of sites affected, and moderately in participants with ≥30% of sites affected (multivariable-adjusted incidence rate ratio= 1.28, 95% CI, 0.84, 1.95 and 1·60, 95% CI, 1·05-2·43) respectively. A similar dose-response relationship was not observed for PD Conclusion History of periodontitis may be a risk factor for NAFLD. This article is protected by copyright. All rights reserved.

Journal ArticleDOI
TL;DR: Integrative analyses of different types of physiological data provided converging evidence indicating that oral contraceptives may cause effects analogous to chronic psychological stressors regarding the regulation of the HPA axis, potentially explaining conflicting results in the literature.
Abstract: Using oral contraceptives has been implicated in the aetiology of stress-related disorders like depression. Here, we followed the hypothesis that oral contraceptives deregulate the HPA-axis by elevating circulating cortisol levels. We report for a sample of 233 pre-menopausal women increased circulating cortisol levels in those using oral contraceptives. For women taking oral contraceptives, we observed alterations in circulating phospholipid levels and elevated triglycerides and found evidence for increased glucocorticoid signalling as the transcript levels of the glucocorticoid-regulated genes DDIT4 and FKBP5 were increased in whole blood. The effects were statistically mediated by cortisol. The associations of oral contraceptives with higher FKBP5 mRNA and altered phospholipid levels were modified by rs1360780, a genetic variance implicated in psychiatric diseases. Accordingly, the methylation pattern of FKBP5 intron 7 was altered in women taking oral contraceptives depending on the rs1360780 genotype. Moreover, oral contraceptives modified the association of circulating cortisol with depressive symptoms, potentially explaining conflicting results in the literature. Finally, women taking oral contraceptives displayed smaller hippocampal volumes than non-using women. In conclusion, the integrative analyses of different types of physiological data provided converging evidence indicating that oral contraceptives may cause effects analogous to chronic psychological stressors regarding the regulation of the HPA axis.

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TL;DR: Greater cardiorespiratory fitness but not domain-specific physical activity was associated with a lower incidence of major depressive disorder and clinical anxiety and was more strongly related to the co-occurrence of MDD and anxiety than depression or anxiety alone.
Abstract: OBJECTIVE: Physical activity and cardiorespiratory fitness may help prevent depression and anxiety. Previous studies have been limited by error-prone measurements. We examined whether self-reported physical activity domains and peak exercise capacity (peakVO₂) are associated with incident and recurrent major depressive disorder (MDD), depressive symptoms, and anxiety disorders. METHODS: This was a prospective population-based study of 1,080 adult men and women (25-83 years) with a median follow-up of 4.5 years and measures of physical activity during leisure time, sports, and work (Baecke questionnaire); a measure of depressive symptoms (Beck Depression Inventory II); symptom-limited cycle ergometer testing (peakVO₂, oxygen uptake at anaerobic threshold [[email protected]/* */], maximum power output at peak exertion); and a structured psychiatric interview (Munich Composite International Diagnostic Interview). Baseline data were collected between 2002 and 2006, and follow-up data, between 2007 and 2010. RESULTS: After adjustment for age, sex, education, smoking, alcohol consumption, and waist circumference, the relative risks for incident MDD per standard deviation (SD) increase in leisure-time physical activity, physical activity during sport, physical activity at work, peakVO₂, [email protected]/* */, and maximum power output were 1.002 (95% confidence interval, 0.90 to 1.12), 1.02 (0.90 to 1.15), 0.94 (0.80 to 1.10), 0.71 (0.52 to 0.98), 0.83 (0.66 to 1.04), and 0.71 (0.52 to 0.96), respectively. PeakVO₂, [email protected]/* */, and maximum power output were associated with recurrent MDD, depressive symptoms, and anxiety. PeakVO₂ was more strongly related to the co-occurrence of MDD and anxiety (adjusted odds ratio [OR] = 0.45 [0.24 to 0.84]) than depression or anxiety alone (OR = 0.71 [0.53 to 0.94]). CONCLUSIONS: Greater cardiorespiratory fitness but not domain-specific physical activity was associated with a lower incidence of MDD and clinical anxiety. Language: en

Journal ArticleDOI
Man Li1, Man Li2, Yong Li3, Olivia Weeks4  +160 moreInstitutions (59)
TL;DR: A two-stage meta-analysis of associations between genotypes from the Illumina exome array and eGFR on the basis of serum creatinine among participants of European ancestry from the CKDGen Consortium identifies novel genes with potential roles in kidney formation.
Abstract: Genome-wide association studies have identified >50 common variants associated with kidney function, but these variants do not fully explain the variation in eGFR. We performed a two-stage meta-analysis of associations between genotypes from the Illumina exome array and eGFR on the basis of serum creatinine (eGFRcrea) among participants of European ancestry from the CKDGen Consortium (nStage1: 111,666; nStage2: 48,343). In single-variant analyses, we identified single nucleotide polymorphisms at seven new loci associated with eGFRcrea (PPM1J, EDEM3, ACP1, SPEG, EYA4, CYP1A1, and ATXN2L; PStage1<3.7×10-7), of which most were common and annotated as nonsynonymous variants. Gene-based analysis identified associations of functional rare variants in three genes with eGFRcrea, including a novel association with the SOS Ras/Rho guanine nucleotide exchange factor 2 gene, SOS2 (P=5.4×10-8 by sequence kernel association test). Experimental follow-up in zebrafish embryos revealed changes in glomerular gene expression and renal tubule morphology in the embryonic kidney of acp1- and sos2-knockdowns. These developmental abnormalities associated with altered blood clearance rate and heightened prevalence of edema. This study expands the number of loci associated with kidney function and identifies novel genes with potential roles in kidney formation.

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TL;DR: The findings suggest that prediabetes might have harmful effects on the kidney.
Abstract: Background and Aims We investigated the associations of serum fasting (FG) and 2-h postload (2HG) glucose from an oral glucose tolerance test (OGTT), glycated hemoglobin (HbA1c), fasting insulin and the homeostasis model assessment-insulin resistance index (HOMA-IR) with urinary albumin-to-creatinine ratio (ACR) and estimated glomerular filtration rate (eGFR). Methods and Results We performed cross-sectional analyses of 2713 subjects (1429 women; 52.7%) without known type 2 diabetes, aged 31–82 years, from the KORA (Cooperative Health Research in the Augsburg Region) F4-Study. FG, 2HG, HbA1c, fasting insulin, HOMA-IR and glucose tolerance categories were analyzed for association with ACR and eGFR in multivariable adjusted linear and median regression models, and with isolated microalbuminuria (i-MA), isolated reduced kidney function (i-RKF) and chronic kidney disease (CKD, defined as MA and/or RKF) in multivariable adjusted logistic regression models. Among the 2713 study participants, 28% revealed prediabetes (isolated impaired fasting glucose [i-IFG], isolated glucose tolerance [i-IGT] or both by American Diabetes Association definition), 4.2% had unknown type 2 diabetes, 6.5% had i-MA, 3.1% i-RKF and 10.9% CKD. In multivariable adjusted analysis, all continuous variables (FG, 2HG, HbA1c, fasting insulin and HOMA-IR) were associated with i-MA, i-RKF and CKD. The odds ratios (ORs) for i-MA and CKD were 1.54 (95% confidence interval: 1.02–2.33) and 1.58 (1.10–2.25) for individuals with i-IFG. Moreover, the OR for i-RKF was 2.57 (1.31–5.06) for individuals with IFG + IGT. Conclusion Our findings suggest that prediabetes might have harmful effects on the kidney.


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TL;DR: It is shown in two independent human samples that a single normal AMBRA1 genotype, the intronic SNP rs3802890-AA, is associated with autistic features in women, who also display lower AMBra1 mRNA expression in peripheral blood mononuclear cells relative to female GG carriers, and suggest Ambra1 heterozygous mice as a novel multifaceted and construct-valid genetic mouse model for female autism.
Abstract: Ambra1 is linked to autophagy and neurodevelopment. Heterozygous Ambra1 deficiency induces autism-like behavior in a sexually dimorphic manner. Extraordinarily, autistic features are seen in female mice only, combined with stronger Ambra1 protein reduction in brain compared to males. However, significance of AMBRA1 for autistic phenotypes in humans and, apart from behavior, for other autism-typical features, namely early brain enlargement or increased seizure propensity, has remained unexplored. Here we show in two independent human samples that a single normal AMBRA1 genotype, the intronic SNP rs3802890-AA, is associated with autistic features in women, who also display lower AMBRA1 mRNA expression in peripheral blood mononuclear cells relative to female GG carriers. Located within a non-coding RNA, likely relevant for mRNA and protein interaction, rs3802890 (A versus G allele) may affect its stability through modification of folding, as predicted by in silico analysis. Searching for further autism-relevant characteristics in Ambra1+/- mice, we observe reduced interest of female but not male mutants regarding pheromone signals of the respective other gender in the social intellicage set-up. Moreover, altered pentylentetrazol-induced seizure propensity, an in vivo readout of neuronal excitation-inhibition dysbalance, becomes obvious exclusively in female mutants. Magnetic resonance imaging reveals mild prepubertal brain enlargement in both genders, uncoupling enhanced brain dimensions from the primarily female expression of all other autistic phenotypes investigated here. These data support a role of AMBRA1/Ambra1 partial loss-of-function genotypes for female autistic traits. Moreover, they suggest Ambra1 heterozygous mice as a novel multifaceted and construct-valid genetic mouse model for female autism.

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TL;DR: This paper examined the causal effect of smoking on hay fever and asthma by using the smokingassociated single nucleotide polymorphism (SNP) rs16969968/rs1051730.
Abstract: Observational studies on smoking and risk of hay fever and asthma have shown inconsistent results. However, observational studies may be biased by confounding and reverse causation. Mendelian randomization uses genetic variants as markers of exposures to examine causal effects. We examined the causal effect of smoking on hay fever and asthma by using the smoking-associated single nucleotide polymorphism (SNP) rs16969968/rs1051730. We included 231,020 participants from 22 population-based studies. Observational analyses showed that current vs never smokers had lower risk of hay fever (odds ratio (OR) = 0·68, 95% confidence interval (CI): 0·61, 0·76; P < 0·001) and allergic sensitization (OR = 0·74, 95% CI: 0·64, 0·86; P < 0·001), but similar asthma risk (OR = 1·00, 95% CI: 0·91, 1·09; P = 0·967). Mendelian randomization analyses in current smokers showed a slightly lower risk of hay fever (OR = 0·958, 95% CI: 0·920, 0·998; P = 0·041), a lower risk of allergic sensitization (OR = 0·92, 95% CI: 0·84, 1·02; P = 0·117), but higher risk of asthma (OR = 1·06, 95% CI: 1·01, 1·11; P = 0·020) per smoking-increasing allele. Our results suggest that smoking may be causally related to a higher risk of asthma and a slightly lower risk of hay fever. However, the adverse events associated with smoking limit its clinical significance.