NAT GENET:GWAS确定44种重度抑郁症遗传因子

2018-04-29 海北 MedSci原创

所有人类都会携带或多或少的重度抑郁症的遗传风险因子。这些发现有助于改善重度抑郁症的基础。

重度抑郁症(MDD)是一种常见的疾病,伴随着相当高的发病率,死亡率,成本,和高度自杀风险。

最近,多国科学家合作,在135,458例患者和344,901例对照的基础上进行了全基因组关联荟萃分析,并确定了44个独立和显着的基因座。这些遗传学结果与重度抑郁症的临床特征相关联,并且涉及的大脑区域表现出病例中的解剖学差异。此外,抗抑郁药物的靶标和参与基因剪接的基因富集于较小的结合信号。
研究人员发现重度忧郁症与教育程度,体重和精神分裂症之间的重要关系:较低的教育程度和较高的体重是可能的致病原因,而重度抑郁症和精神分裂症显示出了部分共享的生物学病因。
所有人类都会携带或多或少的重度抑郁症的遗传风险因子。这些发现有助于改善重度抑郁症的基础。


原始出处:

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    2019-02-28 canlab
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    2018-11-27 cy0324
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topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Wed May 02 08:09:49 CST 2018, time=2018-05-02, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=311236, encodeId=25bb311236f5, content=学习了新知识, beContent=null, objectType=article, channel=null, level=null, likeNumber=52, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Wed May 02 08:09:42 CST 2018, time=2018-05-02, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=311235, encodeId=651331123579, content=学习了长知识, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Wed May 02 08:09:34 CST 2018, time=2018-05-02, status=1, ipAttribution=)]
    2018-07-17 liye789132251
  5. 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likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Wed May 02 08:09:34 CST 2018, time=2018-05-02, status=1, ipAttribution=)]
    2018-05-02 Y—xianghai

    学习了长知识

    0

  6. 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    2018-05-02 Y—xianghai

    学习了长知识

    0

  7. 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likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Wed May 02 08:09:34 CST 2018, time=2018-05-02, status=1, ipAttribution=)]
    2018-05-02 Y—xianghai

    学习了长知识

    0

  8. 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    2018-05-02 Y—xianghai

    学习了长知识

    0

  9. 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    2018-05-02 Y—xianghai

    学习了新知识

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    2018-05-02 Y—xianghai

    学习了长知识

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