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首页> 外文期刊>Human Molecular Genetics >Synthesizing genome-wide association studies and expression microarray reveals novel genes that act in the human growth plate to modulate height
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Synthesizing genome-wide association studies and expression microarray reveals novel genes that act in the human growth plate to modulate height

机译:综合全基因组关联研究和表达微阵列揭示了在人类生长板上起作用的新型基因,可调节身高

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Previous meta-analysis of genome-wide association (GWA) studies has identified 180 loci that influence adult height. However, each GWA locus typically comprises a set of contiguous genes, only one of which presumably modulates height. We reasoned that many of the causative genes within these loci influence height because they are expressed in and function in the growth plate, a cartilaginous structure that causes bone elongation and thus determines stature. Therefore, we used expression microarray studies of mouse and rat growth plate, human disease databases and a mouse knockout phenotype database to identify genes within the GWAS loci that are likely required for normal growth plate function. Each of these approaches identified significantly more genes within the GWA height loci than at random genomic locations (P < 0.0001 each), supporting the validity of the approach. The combined analysis strongly implicates 78 genes in growth plate function, including multiple genes that participate in PTHrP-IHH, BMP and CNP signaling, and many genes that have not previously been implicated in the growth plate. Thus, this analysis reveals a large number of novel genes that regulate human growth plate chondrogenesis and thereby contribute to the normal variations in human adult height. The analytic approach developed for this study may be applied to GWA studies for other common polygenic traits and diseases, thus providing a new general strategy to identify causative genes within GWA loci and to translate genetic associations into mechanistic biological insights.
机译:先前的全基因组关联(GWA)研究的荟萃分析已经确定了180个影响成年身高的基因座。但是,每个GWA基因座通常都包含一组连续的基因,其中只有一个可能调节高度。我们推断这些位点内的许多致病基因会影响高度,因为它们在生长板中表达并在其中生长,软骨板会引起骨骼延长,从而决定身高。因此,我们对小鼠和大鼠生长板,人类疾病数据库和小鼠基因敲除表型数据库进行了表达微阵列研究,以鉴定GWAS基因座中正常生长板功能可能需要的基因。这些方法中的每一个都在GWA高度基因座中鉴定出的基因数量明显多于随机基因组位置(每个P <0.0001),从而证明了该方法的有效性。组合分析强烈暗示了78个基因与生长板功能有关,包括参与PTHrP-IHH,BMP和CNP信号传导的多个基因,以及许多以前未与生长板相关的基因。因此,该分析揭示了调节人类生长板软骨形成并因此有助于人类成年身高正常变化的大量新基因。为这项研究开发的分析方法可以应用于GWA研究其他常见的多基因性状和疾病,从而提供了一种新的通用策略,可以识别GWA基因座内的致病基因并将遗传关联转化为机械生物学见解。

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