Journal article
Biological interpretation of genome-wide association studies using predicted gene functions
Nature communications, Vol.6(1), pp.5890-5890
01/19/2015
DOI: 10.1038/ncomms6890
PMCID: PMC4420238
PMID: 25597830
Abstract
The main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present DEPICT, an integrative tool that employs predicted gene functions to systematically prioritize the most likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell types where genes from associated loci are highly expressed. DEPICT is not limited to genes with established functions and prioritizes relevant gene sets for many phenotypes.
Details
- Title: Subtitle
- Biological interpretation of genome-wide association studies using predicted gene functions
- Creators
- Tune H Pers - 1] Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 2142, USAJuha M Karjalainen - Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen 9711, The NetherlandsYingleong Chan - 1] Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 2142, USA Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USAHarm-Jan Westra - Division of Genetics, Brigham and Women's Hospital, Boston, Massachusetts 02115, USAAndrew R Wood - Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UKJian Yang - 1] Queensland Brain Institute, The University of Queensland, Brisbane, Queensland 4072, Australia The University of Queensland Diamantina Institute, The Translation Research Institute, Brisbane, Queensland 4012, AustraliaJulian C Lui - Section on Growth and Development, Program in Developmental Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20892, USASailaja Vedantam - 1] Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 2142, USAStefan Gustafsson - Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala 75185, SwedenTonu Esko - 1] Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 2142, USA Estonian Genome Center, University of Tartu, Tartu 51010, EstoniaTim Frayling - Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UKElizabeth K Speliotes - Department of Internal Medicine, Division of Gastroenterology, and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USAGenetic Investigation of ANthropometric Traits (GIANT) ConsortiumMichael Boehnke - Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USASoumya Raychaudhuri - 1] Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 2142, USA Division of Genetics, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA Partners HealthCare Center for Personalized Genetic Medicine, Boston, Massachusetts 02115, USA Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA Faculty of Medical and Human Sciences, University of Manchester, Manchester M13 9PL, UKRudolf S N Fehrmann - Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen 9711, The NetherlandsJoel N Hirschhorn - 1] Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 2142, USA Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USALude Franke - Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen 9711, The Netherlands
- Contributors
- Jeffrey C Murray (Contributor) - University of Iowa, Dental Research
- Resource Type
- Journal article
- Publication Details
- Nature communications, Vol.6(1), pp.5890-5890
- DOI
- 10.1038/ncomms6890
- PMID
- 25597830
- PMCID
- PMC4420238
- NLM abbreviation
- Nat Commun
- ISSN
- 2041-1723
- eISSN
- 2041-1723
- Publisher
- England
- Grant note
- R01 AR063759 / NIAMS NIH HHS UH2 AR067677 / NIAMS NIH HHS 2R01DK075787 / NIDDK NIH HHS U01 GM092691 / NIGMS NIH HHS CZB/4/672 / Chief Scientist Office MR/K006584/1 / Medical Research Council MR/N01104X/1 / Medical Research Council MR/K013351/1 / Medical Research Council R01 DK075787 / NIDDK NIH HHS P30 CA071789 / NCI NIH HHS G1001799 / Medical Research Council P30 DK020572 / NIDDK NIH HHS R01 HL117078 / NHLBI NIH HHS Intramural NIH HHS 098395 / Wellcome Trust
- Language
- English
- Date published
- 01/19/2015
- Academic Unit
- Anatomy and Cell Biology; Stead Family Department of Pediatrics; Epidemiology; Pediatric Dentistry; Craniofacial Anomalies Research Center; Dental Research
- Record Identifier
- 9984025355802771
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