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一种全基因组方法,用于在爱尔兰人群中识别具有自然选择特征的基因座。

A genome-wide approach to identify genetic loci with a signature of natural selection in the Irish population.

作者信息

Mattiangeli Valeria, Ryan Anthony W, McManus Ross, Bradley Daniel G

机构信息

Smurfit Institute of Genetics, Trinity College, Dublin 2, Ireland.

出版信息

Genome Biol. 2006;7(8):R74. doi: 10.1186/gb-2006-7-8-r74. Epub 2006 Aug 11.

Abstract

BACKGROUND

In this study we present a single population test (Ewens-Waterson) applied in a genomic context to investigate the presence of recent positive selection in the Irish population. The Irish population is an interesting focus for the investigation of recent selection since several lines of evidence suggest that it may have a relatively undisturbed genetic heritage.

RESULTS

We first identified outlier single nucleotide polymorphisms (SNPs), from previously published genome-wide data, with high FST branch specification in a European-American population. Eight of these were chosen for further analysis. Evidence for selective history was assessed using the Ewens-Watterson's statistic calculated using Irish genotypes of microsatellites flanking the eight outlier SNPs. Evidence suggestive of selection was detected in three of these by comparison with a population-specific genome-wide empirical distribution of the Ewens-Watterson's statistic.

CONCLUSION

The cystic fibrosis gene, a disease that has a world maximum frequency in Ireland, was among the genes showing evidence of selection. In addition to the demonstrated utility in detecting a signature of natural selection, this approach has the particular advantage of speed. It also illustrates concordance between results drawn from alternative methods implemented in different populations.

摘要

背景

在本研究中,我们展示了一种在基因组背景下应用的单群体检验(Ewens-Waterson检验),以调查爱尔兰人群中近期正选择的存在情况。爱尔兰人群是研究近期选择的一个有趣对象,因为有几条证据表明它可能拥有相对未受干扰的遗传遗产。

结果

我们首先从先前发表的全基因组数据中识别出在欧美人群中具有高FST分支特异性的异常单核苷酸多态性(SNP)。从中选择了8个进行进一步分析。使用Ewens-Watterson统计量评估选择历史的证据,该统计量是根据8个异常SNP侧翼微卫星的爱尔兰基因型计算得出的。通过与Ewens-Watterson统计量的群体特异性全基因组经验分布进行比较,在其中3个中检测到了提示选择的证据。

结论

囊性纤维化基因是在爱尔兰具有全球最高发病率的一种疾病,它是显示出选择证据的基因之一。除了在检测自然选择特征方面已证明的效用外,这种方法还具有速度快的特殊优势。它还说明了在不同人群中实施的替代方法所得结果之间的一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b25/1779589/b7e45ce267a8/gb-2006-7-8-r74-1.jpg

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