| Identification of autoimmune gene signatures in autism. | |
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MedLine Citation:
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PMID: 22832355 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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The role of the immune system in neuropsychiatric diseases, including autism spectrum disorder (ASD), has long been hypothesized. This hypothesis has mainly been supported by family cohort studies and the immunological abnormalities found in ASD patients, but had limited findings in genetic association testing. Two cross-disorder genetic association tests were performed on the genome-wide data sets of ASD and six autoimmune disorders. In the polygenic score test, we examined whether ASD risk alleles with low effect sizes work collectively in specific autoimmune disorders and show significant association statistics. In the genetic variation score test, we tested whether allele-specific associations between ASD and autoimmune disorders can be found using nominally significant single-nucleotide polymorphisms. In both tests, we found that ASD is probabilistically linked to ankylosing spondylitis (AS) and multiple sclerosis (MS). Association coefficients showed that ASD and AS were positively associated, meaning that autism susceptibility alleles may have a similar collective effect in AS. The association coefficients were negative between ASD and MS. Significant associations between ASD and two autoimmune disorders were identified. This genetic association supports the idea that specific immunological abnormalities may underlie the etiology of autism, at least in a number of cases. |
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Authors:
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J-Y Jung; I S Kohane; D P Wall |
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Publication Detail:
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Type: Journal Article Date: 2011-12-13 |
Journal Detail:
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Title: Translational psychiatry Volume: 1 ISSN: 2158-3188 ISO Abbreviation: Transl Psychiatry Publication Date: 2011 |
Date Detail:
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Created Date: 2012-07-26 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101562664 Medline TA: Transl Psychiatry Country: United States |
Other Details:
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Languages: eng Pagination: e63 Citation Subset: IM |
Affiliation:
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Center for Biomedical Informatics, Harvard Medical School, Boston, MA, USA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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