86
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Sparse whole genome sequencing identifies two loci for major depressive disorder

      research-article
      CONVERGE Consortium
      Nature

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Major depressive disorder (MDD), one of the most frequently encountered forms of mental illness and a leading cause of disability worldwide 1 , poses a major challenge to genetic analysis. To date no robustly replicated genetic loci have been identified 2 , despite analysis of more than 9,000 cases 3 . Using low coverage genome sequence of 5,303 Chinese women with recurrent MDD selected to reduce phenotypic heterogeneity, and 5,337 controls screened to exclude MDD, we identified and replicated two genome-wide significant loci contributing to risk of MDD on chromosome 10: one near the SIRT1 gene (P-value = 2.53×10 −10) the other in an intron of the LHPP gene (P = 6.45×10 −12). Analysis of 4,509 cases with a severe subtype of MDD, melancholia, yielded an increased genetic signal at the SIRT1 locus. We attribute our success to the recruitment of relatively homogeneous cases with severe illness.

          Related collections

          Most cited references19

          • Record: found
          • Abstract: not found
          • Article: not found

          Diagnostic and statistical manual of mental disorders.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The epidemiology of depression across cultures.

            Epidemiological data are reviewed on the prevalence, course, socio-demographic correlates, and societal costs of major depression throughout the world. Major depression is estimated in these surveys to be a commonly occurring disorder. Although estimates of lifetime prevalence and course vary substantially across countries for reasons that could involve both substantive and methodological processes, the cross-national data are clear in documenting meaningful lifetime prevalence with wide variation in age-of-onset and high risk of lifelong chronic-recurrent persistence. A number of sociodemographic correlates of major depression are found consistently across countries, and cross-national data also document associations with numerous adverse outcomes, including difficulties in role transitions (e.g., low education, high teen childbearing, marital disruption, unstable employment), reduced role functioning (e.g., low marital quality, low work performance, low earnings), elevated risk of onset, persistence and severity of a wide range of secondary disorders, and increased risk of early mortality due to physical disorders and suicide.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Stampy: a statistical algorithm for sensitive and fast mapping of Illumina sequence reads.

              High-volume sequencing of DNA and RNA is now within reach of any research laboratory and is quickly becoming established as a key research tool. In many workflows, each of the short sequences ("reads") resulting from a sequencing run are first "mapped" (aligned) to a reference sequence to infer the read from which the genomic location derived, a challenging task because of the high data volumes and often large genomes. Existing read mapping software excel in either speed (e.g., BWA, Bowtie, ELAND) or sensitivity (e.g., Novoalign), but not in both. In addition, performance often deteriorates in the presence of sequence variation, particularly so for short insertions and deletions (indels). Here, we present a read mapper, Stampy, which uses a hybrid mapping algorithm and a detailed statistical model to achieve both speed and sensitivity, particularly when reads include sequence variation. This results in a higher useable sequence yield and improved accuracy compared to that of existing software.
                Bookmark

                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                16 June 2015
                15 July 2015
                30 July 2015
                30 January 2016
                : 523
                : 7562
                : 588-591
                Author notes
                Correspondence should be addressed to: Qi Xu ( xuqi@ 123456pumc.edu.cn ), Jun Wang ( wangj@ 123456genomics.org.cn ), Kenneth S Kendler ( kendler@ 123456vcu.edu ), Jonathan Flint ( jf@ 123456well.ox.ac.uk )
                [1]

                A full list of authors and affiliations appears at the end of the paper

                Article
                EMS63824
                10.1038/nature14659
                4522619
                26176920
                e0d67769-b65e-49d1-a21f-484af09a2008

                Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Categories
                Article

                Uncategorized
                Uncategorized

                Comments

                Comment on this article