Literature DB >> 28030700

23andMe, Big Data, and the Genetics of Depression.

Jennifer Abbasi.   

Abstract

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Year:  2017        PMID： 28030700     DOI： 10.1001/jama.2016.14136

Source DB:  PubMed          Journal:  JAMA        ISSN： 0098-7484            Impact factor:   56.272


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  4 in total

Review 1.  Treatment resistant depression: A multi-scale, systems biology approach.

Authors:  Huda Akil; Joshua Gordon; Rene Hen; Jonathan Javitch; Helen Mayberg; Bruce McEwen; Michael J Meaney; Eric J Nestler
Journal:  Neurosci Biobehav Rev       Date:  2017-08-30       Impact factor: 8.989

2.  Expert and self-assessment of lifetime symptoms and diagnosis of major depressive disorder in large-scale genetic studies in the general population: comparison of a clinical interview and a self-administered checklist.

Authors:  Jessica Martin; Fabian Streit; Jens Treutlein; Maren Lang; Josef Frank; Andreas J Forstner; Franziska Degenhardt; Stephanie H Witt; Thomas G Schulze; Sven Cichon; Markus M Nöthen; Marcella Rietschel; Jana Strohmaier
Journal:  Psychiatr Genet       Date:  2017-10       Impact factor: 2.458

3.  Unraveling the genetic architecture of major depressive disorder: merits and pitfalls of the approaches used in genome-wide association studies.

Authors:  I Schwabe; Y Milaneschi; Z Gerring; P F Sullivan; E Schulte; N P Suppli; J G Thorp; E M Derks; C M Middeldorp
Journal:  Psychol Med       Date:  2019-09-27       Impact factor: 7.723

Review 4.  Profit versus Quality: The Enigma of Scientific Wellness.

Authors:  Katrina Carbonara; Adam J MacNeil; Deborah D O'Leary; Jens R Coorssen
Journal:  J Pers Med       Date:  2022-01-03
  4 in total

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