Literature DB >> 28765304

Leveraging psychiatric and medical genetics to understand comorbid depression and obesity.

Anna R Docherty1.   

Abstract

Precision medicine in psychiatry is on the rise, and depression and obesity - two highly prevalent, comorbid and well-characterised phenotypes - are optimal targets for the approach. Add the bedrock susceptibility gene, FTO, and Riviera et al have identified a constellation of factors that could enhance clinical treatment of both disorders. © The Royal College of Psychiatrists 2017.

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Year:  2017        PMID： 28765304      PMCID： PMC5770192          DOI： 10.1192/bjp.bp.116.194662

Source DB:  PubMed          Journal:  Br J Psychiatry        ISSN： 0007-1250            Impact factor:   9.319


  10 in total

1.  Machine Learning and Electronic Health Records: A Paradigm Shift.

Authors:  Daniel E Adkins
Journal:  Am J Psychiatry       Date:  2017-02-01       Impact factor: 18.112

Review 2.  Solving a weighty problem: systematic review and meta-analysis of nutrition interventions in severe mental illness.

Authors:  Scott B Teasdale; Philip B Ward; Simon Rosenbaum; Katherine Samaras; Brendon Stubbs
Journal:  Br J Psychiatry       Date:  2016-11-03       Impact factor: 9.319

3.  Toward validation of a structural approach to conceptualizing psychopathology: A special section of the Journal of Abnormal Psychology.

Authors:  Robert F Krueger; Jennifer L Tackett; Angus MacDonald
Journal:  J Abnorm Psychol       Date:  2016-11

Review 4.  Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies.

Authors:  Floriana S Luppino; Leonore M de Wit; Paul F Bouvy; Theo Stijnen; Pim Cuijpers; Brenda W J H Penninx; Frans G Zitman
Journal:  Arch Gen Psychiatry       Date:  2010-03

Review 5.  Interventions to Address Medical Conditions and Health-Risk Behaviors Among Persons With Serious Mental Illness: A Comprehensive Review.

Authors:  Emma E McGinty; Julia Baller; Susan T Azrin; Denise Juliano-Bult; Gail L Daumit
Journal:  Schizophr Bull       Date:  2015-07-28       Impact factor: 9.306

Review 6.  Psychiatric Genomics: An Update and an Agenda.

Authors:  Patrick F Sullivan; Arpana Agrawal; Cynthia M Bulik; Ole A Andreassen; Anders D Børglum; Gerome Breen; Sven Cichon; Howard J Edenberg; Stephen V Faraone; Joel Gelernter; Carol A Mathews; Caroline M Nievergelt; Jordan W Smoller; Michael C O'Donovan
Journal:  Am J Psychiatry       Date:  2017-10-03       Impact factor: 18.112

7.  A behavioral weight-loss intervention in persons with serious mental illness.

Authors:  Gail L Daumit; Faith B Dickerson; Nae-Yuh Wang; Arlene Dalcin; Gerald J Jerome; Cheryl A M Anderson; Deborah R Young; Kevin D Frick; Airong Yu; Joseph V Gennusa; Meghan Oefinger; Rosa M Crum; Jeanne Charleston; Sarah S Casagrande; Eliseo Guallar; Richard W Goldberg; Leslie M Campbell; Lawrence J Appel
Journal:  N Engl J Med       Date:  2013-03-21       Impact factor: 91.245

8.  FTO gene polymorphisms and obesity risk: a meta-analysis.

Authors:  Sihua Peng; Yimin Zhu; Fangying Xu; Xiaobin Ren; Xiaobo Li; Maode Lai
Journal:  BMC Med       Date:  2011-06-08       Impact factor: 8.775

Review 9.  Interaction between the FTO gene, body mass index and depression: meta-analysis of 13701 individuals.

Authors:  Margarita Rivera; Adam E Locke; Tanguy Corre; Darina Czamara; Christiane Wolf; Ana Ching-Lopez; Yuri Milaneschi; Stefan Kloiber; Sarah Cohen-Woods; James Rucker; Katherine J Aitchison; Sven Bergmann; Dorret I Boomsma; Nick Craddock; Michael Gill; Florian Holsboer; Jouke-Jan Hottenga; Ania Korszun; Zoltan Kutalik; Susanne Lucae; Wolfgang Maier; Ole Mors; Bertram Müller-Myhsok; Michael J Owen; Brenda W J H Penninx; Martin Preisig; John Rice; Marcella Rietschel; Federica Tozzi; Rudolf Uher; Peter Vollenweider; Gerard Waeber; Gonneke Willemsen; Ian W Craig; Anne E Farmer; Cathryn M Lewis; Gerome Breen; Peter McGuffin
Journal:  Br J Psychiatry       Date:  2017-06-22       Impact factor: 9.319

10.  Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation.

Authors:  Thomas J Hoffmann; Georg B Ehret; Priyanka Nandakumar; Dilrini Ranatunga; Catherine Schaefer; Pui-Yan Kwok; Carlos Iribarren; Aravinda Chakravarti; Neil Risch
Journal:  Nat Genet       Date:  2016-11-14       Impact factor: 38.330
  10 in total

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