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  Developing the "next generation" of genetic association databases for complex diseases

Lill, C. M., & Bertram, L. (2012). Developing the "next generation" of genetic association databases for complex diseases. Human Mutation, 33(9), 1366-1372. doi:Doi 10.1002/Humu.22149.

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 Creators:
Lill, Christina M.1, 2, Author           
Bertram, Lars1, Author           
Affiliations:
1Neuropsychiatric Genetics (Lars Bertram), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, Berlin, Germany, ou_1479655              
2Department of Neurology, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany, ou_persistent22              

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Free keywords: neurogenetics database meta-analysis gwas hvp association genome exome genome-wide association amyotrophic-lateral-sclerosis systematic metaanalyses field synopsis mutations update alsod loci
 Abstract: Tens of thousands of genetic association studies investigating the influence of common polymorphisms on disease susceptibility have been published to date. These include similar to 1,000 genome-wide association studies (GWAS). This vast amount of data in the field of complex genetics is becoming increasingly difficult to follow and interpret. It can be expected that the situation will become even more complex with the advent of association projects using next-generation technologies. One of the aims of the Human Variome Project is to concatenate such data in meaningful ways, for example, within the context of publicly available field synopses. Here, we present various examples of online genetic association databases developed by our group for neuropsychiatric disorders. One integral part of this model is the systematic inclusion of data from large-scale genotyping projects, for example, GWAS, while respecting the privacy of data contributors. We believe that our database approach may serve as a viable model that can be readily applied to other fields and ultimately improve our understanding of the genetic forces driving common human conditions. Hum Mutat 33:1366-1372, 2012. (c) 2012 Wiley Periodicals, Inc.

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Language(s): eng - English
 Dates: 2012-07-122012-09
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: Doi 10.1002/Humu.22149
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Title: Human Mutation
  Other : Hum Mut
Source Genre: Journal
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Publ. Info: New York, N.Y. : Wiley-Liss
Pages: - Volume / Issue: 33 (9) Sequence Number: - Start / End Page: 1366 - 1372 Identifier: ISSN: 1059-7794
CoNE: https://pure.mpg.de/cone/journals/resource/954925597586