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排除性研究:10 年后,GWAS 研究中的性染色体在哪里?

eXclusionarY: 10 years later, where are the sex chromosomes in GWASs?

机构信息

Department of Statistical Sciences, Faculty of Arts and Science, University of Toronto, Toronto, ON, Canada; Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

Department of Statistics and Data Science, Faculty of Science, National University of Singapore, Singapore.

出版信息

Am J Hum Genet. 2023 Jun 1;110(6):903-912. doi: 10.1016/j.ajhg.2023.04.009.

Abstract

10 years ago, a detailed analysis showed that only 33% of genome-wide association study (GWAS) results included the X chromosome. Multiple recommendations were made to combat such exclusion. Here, we re-surveyed the research landscape to determine whether these earlier recommendations had been translated. Unfortunately, among the genome-wide summary statistics reported in 2021 in the NHGRI-EBI GWAS Catalog, only 25% provided results for the X chromosome and 3% for the Y chromosome, suggesting that the exclusion phenomenon not only persists but has also expanded into an exclusionary problem. Normalizing by physical length of the chromosome, the average number of studies published through November 2022 with genome-wide-significant findings on the X chromosome is ∼1 study/Mb. By contrast, it ranges from ∼6 to ∼16 studies/Mb for chromosomes 4 and 19, respectively. Compared with the autosomal growth rate of ∼0.086 studies/Mb/year over the last decade, studies of the X chromosome grew at less than one-seventh that rate, only ∼0.012 studies/Mb/year. Among the studies that reported significant associations on the X chromosome, we noted extreme heterogeneities in data analysis and reporting of results, suggesting the need for clear guidelines. Unsurprisingly, among the 430 scores sampled from the PolyGenic Score Catalog, 0% contained weights for sex chromosomal SNPs. To overcome the dearth of sex chromosome analyses, we provide five sets of recommendations and future directions. Finally, until the sex chromosomes are included in a whole-genome study, instead of GWASs, we propose such studies would more properly be referred to as "AWASs," meaning "autosome-wide scans."

摘要

10 年前,一项详细分析表明,全基因组关联研究 (GWAS) 结果中仅包含 33%的 X 染色体。为此提出了多项建议以解决此类排除问题。在此,我们重新调查了研究现状,以确定这些早期建议是否已得到实施。遗憾的是,在 2021 年 NHGRI-EBI GWAS 目录中报告的全基因组汇总统计数据中,仅有 25%为 X 染色体提供了结果,3%为 Y 染色体提供了结果,这表明这种排除现象不仅持续存在,而且还扩展到了排他性问题。按染色体的物理长度归一化后,截至 2022 年 11 月,在 X 染色体上具有全基因组显著发现的已发表研究的平均数量约为 1 项/兆碱基。相比之下,X 染色体的范围分别为 4 号和 19 号染色体的 6 到 16 项/兆碱基。与过去十年中约 0.086 项/兆碱基/年的常染色体增长率相比,X 染色体的研究增长率不到其七分之一,仅为 0.012 项/兆碱基/年。在报告 X 染色体上显著关联的研究中,我们注意到数据分析和结果报告存在极端异质性,这表明需要明确的指导方针。毫不奇怪,在 PolyGenic Score Catalog 中采样的 430 个分数中,没有一个包含性染色体 SNP 的权重。为了克服性染色体分析的不足,我们提供了五套建议和未来方向。最后,除非将性染色体纳入全基因组研究,而不是 GWAS,否则我们建议将此类研究更恰当地称为“AWASs”,意思是“常染色体全扫描”。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82d7/10257007/748842b718a4/gr1.jpg

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