Genetics: 4亿人的家谱显示遗传对长寿的影响有限

2018-11-10 海北 MedSci原创

虽然人们普遍认为,由于遗传原因,有些家庭中成员的寿命很长,但生命周期“遗传性”的估计值一直很低(约15-30%)。

人类寿命是一种表型,它将健康和环境的许多方面整合为一个最终数量:出生和死亡之间经过的时间。虽然人们普遍认为,由于遗传原因,有些家庭中成员的寿命很长,但生命周期遗传性的估计值一直很低(约15-30%)。

最近,研究人员使用来自Ancestry的公共谱系数据,包括数亿历史人物,来估计人类长寿的遗传性。尽管基于遗传亲属之间的相关性的名义遗传力估计与先前的文献一致,但大多数相关性也通过非遗传(姻亲)亲属之间的相关性被捕获,暗示了围绕寿命影响因子的高度配对(遗传和/或环境)。

研究人员使用结构方程模型来解释相互配对,并得出结论:19世纪和20世纪初期出生队列的人类长寿的真正遗传度远低于10%,并且由于相互配对的影响,它通常被高估了。


原始出处:

J. Graham Ruby et al. Estimates of the Heritability of Human Longevity Are Substantially Inflated due to Assortative Mating. Genetics, 2018; 210 (3): 1109 DOI: 10.1534/genetics.118.301613


本文系梅斯医学(MedSci)原创编译整理,转载需授权

版权声明:
本网站所有内容来源注明为“梅斯医学”或“MedSci原创”的文字、图片和音视频资料,版权均属于梅斯医学所有。非经授权,任何媒体、网站或个人不得转载,授权转载时须注明来源为“梅斯医学”。其它来源的文章系转载文章,或“梅斯号”自媒体发布的文章,仅系出于传递更多信息之目的,本站仅负责审核内容合规,其内容不代表本站立场,本站不负责内容的准确性和版权。如果存在侵权、或不希望被转载的媒体或个人可与我们联系,我们将立即进行删除处理。
在此留言
评论区 (4)
#插入话题
  1. [GetPortalCommentsPageByObjectIdResponse(id=2049106, encodeId=a1912049106a3, content=<a href='/topic/show?id=4363e929ad' target=_blank style='color:#2F92EE;'>#Gene#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=25, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=7929, encryptionId=4363e929ad, topicName=Gene)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=63a4277, createdName=cy0324, createdTime=Fri Jul 12 10:29:00 CST 2019, time=2019-07-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1686258, encodeId=fc57168625897, content=<a href='/topic/show?id=66f3e93862' target=_blank style='color:#2F92EE;'>#Genet#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=31, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=7938, encryptionId=66f3e93862, topicName=Genet)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d3e128296421, createdName=江川靖瑶, createdTime=Mon Mar 11 08:29:00 CST 2019, time=2019-03-11, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1878003, encodeId=bf0618e800302, content=<a href='/topic/show?id=5d80e943ef' target=_blank style='color:#2F92EE;'>#Genetics#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=7943, encryptionId=5d80e943ef, topicName=Genetics)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=ca89104, createdName=huperzia, createdTime=Mon Jul 22 22:29:00 CST 2019, time=2019-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1734081, encodeId=aa421e340815b, content=<a href='/topic/show?id=d4f412668a4' target=_blank style='color:#2F92EE;'>#NET#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=32, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=12668, encryptionId=d4f412668a4, topicName=NET)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=7ea033781210, createdName=canlab, createdTime=Mon May 06 23:29:00 CST 2019, time=2019-05-06, status=1, ipAttribution=)]
    2019-07-12 cy0324
  2. [GetPortalCommentsPageByObjectIdResponse(id=2049106, encodeId=a1912049106a3, content=<a href='/topic/show?id=4363e929ad' target=_blank style='color:#2F92EE;'>#Gene#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=25, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=7929, encryptionId=4363e929ad, topicName=Gene)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=63a4277, createdName=cy0324, createdTime=Fri Jul 12 10:29:00 CST 2019, time=2019-07-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1686258, encodeId=fc57168625897, content=<a href='/topic/show?id=66f3e93862' target=_blank style='color:#2F92EE;'>#Genet#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=31, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=7938, encryptionId=66f3e93862, topicName=Genet)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d3e128296421, createdName=江川靖瑶, createdTime=Mon Mar 11 08:29:00 CST 2019, time=2019-03-11, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1878003, encodeId=bf0618e800302, content=<a href='/topic/show?id=5d80e943ef' target=_blank style='color:#2F92EE;'>#Genetics#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=7943, encryptionId=5d80e943ef, topicName=Genetics)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=ca89104, createdName=huperzia, createdTime=Mon Jul 22 22:29:00 CST 2019, time=2019-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1734081, encodeId=aa421e340815b, content=<a href='/topic/show?id=d4f412668a4' target=_blank style='color:#2F92EE;'>#NET#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=32, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=12668, encryptionId=d4f412668a4, topicName=NET)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=7ea033781210, createdName=canlab, createdTime=Mon May 06 23:29:00 CST 2019, time=2019-05-06, status=1, ipAttribution=)]
  3. [GetPortalCommentsPageByObjectIdResponse(id=2049106, encodeId=a1912049106a3, content=<a href='/topic/show?id=4363e929ad' target=_blank style='color:#2F92EE;'>#Gene#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=25, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=7929, encryptionId=4363e929ad, topicName=Gene)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=63a4277, createdName=cy0324, createdTime=Fri Jul 12 10:29:00 CST 2019, time=2019-07-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1686258, encodeId=fc57168625897, content=<a href='/topic/show?id=66f3e93862' target=_blank style='color:#2F92EE;'>#Genet#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=31, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=7938, encryptionId=66f3e93862, topicName=Genet)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d3e128296421, createdName=江川靖瑶, createdTime=Mon Mar 11 08:29:00 CST 2019, time=2019-03-11, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1878003, encodeId=bf0618e800302, content=<a href='/topic/show?id=5d80e943ef' target=_blank style='color:#2F92EE;'>#Genetics#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=7943, encryptionId=5d80e943ef, topicName=Genetics)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=ca89104, createdName=huperzia, createdTime=Mon Jul 22 22:29:00 CST 2019, time=2019-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1734081, encodeId=aa421e340815b, content=<a href='/topic/show?id=d4f412668a4' target=_blank style='color:#2F92EE;'>#NET#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=32, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=12668, encryptionId=d4f412668a4, topicName=NET)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=7ea033781210, createdName=canlab, createdTime=Mon May 06 23:29:00 CST 2019, time=2019-05-06, status=1, ipAttribution=)]
    2019-07-22 huperzia
  4. [GetPortalCommentsPageByObjectIdResponse(id=2049106, encodeId=a1912049106a3, content=<a href='/topic/show?id=4363e929ad' target=_blank style='color:#2F92EE;'>#Gene#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=25, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=7929, encryptionId=4363e929ad, topicName=Gene)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=63a4277, createdName=cy0324, createdTime=Fri Jul 12 10:29:00 CST 2019, time=2019-07-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1686258, encodeId=fc57168625897, content=<a href='/topic/show?id=66f3e93862' target=_blank style='color:#2F92EE;'>#Genet#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=31, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=7938, encryptionId=66f3e93862, topicName=Genet)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d3e128296421, createdName=江川靖瑶, createdTime=Mon Mar 11 08:29:00 CST 2019, time=2019-03-11, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1878003, encodeId=bf0618e800302, content=<a href='/topic/show?id=5d80e943ef' target=_blank style='color:#2F92EE;'>#Genetics#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=7943, encryptionId=5d80e943ef, topicName=Genetics)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=ca89104, createdName=huperzia, createdTime=Mon Jul 22 22:29:00 CST 2019, time=2019-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1734081, encodeId=aa421e340815b, content=<a href='/topic/show?id=d4f412668a4' target=_blank style='color:#2F92EE;'>#NET#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=32, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=12668, encryptionId=d4f412668a4, topicName=NET)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=7ea033781210, createdName=canlab, createdTime=Mon May 06 23:29:00 CST 2019, time=2019-05-06, status=1, ipAttribution=)]
    2019-05-06 canlab

相关资讯

Cell Metab:重新定义肥胖与疾病的关系!科学家用多组学数据重新划分肥胖类型,并准确预每种胖究竟更容易患哪种病

Scripps Research基因组学教授Amalio Telenti博士开始了一项大型研究,对BMI相关的代谢组和基因组进行了多组学分析,试图找到一个更准确的衡量肥胖的方法,对判断疾病的风险提供更精确的参考。

6家公司因违反人类遗传资源管理规定遭科技部处罚

华大基因、阿斯利康、药明康德、上海华山医院等6家公司或机构因违反人类遗传资源管理规定遭科技部处罚。

Diabetes Care:遗传因素可能有助于识别“1.5型糖尿病”

既往研究发现,成人隐匿性自身免疫性糖尿病(LADA)的最强遗传风险位点与1型糖尿病相同。然而,最新发表在Diabetes Care上的一项全基因组关联研究发现,2型糖尿病等位基因在LADA中也起着较弱的作用。

Science:肠道微生物组竟能代代相传

在一项新的研究中,来自美国加州大学伯克利分校的研究人员发现定植在小鼠肠道中的细菌主要来自它们的母鼠,而且它们的肠道微生物组(microbiome)组成在多代中几乎保持不变。相关研究结果发表在2018年10月26日的Science期刊上,论文标题为“Transmission modes of the mammalian gut microbiota”。

Clin Cancer Res:顺铂诱导毒性的遗传和可修饰风险因素分析

传统的细胞毒性化疗的有效使用经常由于不相干的毒性而受到限制。该临床难题可以由顺铂来代表,顺铂是一种铂酸盐剂,且由于其可以与DNA和其他细胞内的亲核物质亲和,因而具有抗肿瘤的活性。尽管它在治疗成年人起始和儿科恶性肿瘤中具有很好的治疗效果,顺铂可以产生许多的不相干的毒性,该毒性不仅能够严重的影响患者的生活质量,也能够导致被迫减少剂量或者治疗方法的改变,从而最后改变治疗结果。由于目前还没有能够测量治疗效

Nat Genet:老化大脑分析揭秘阿尔茨海默病易感性原因

最近,来自美国的研究人员使用深度测序识别来自两个老化群组的450名受试者的背外侧前额皮质(DLPFC)中mRNA剪接的变异来源。