Public human microbiome data are dominated by highly developed countries.
Public human microbiome data are dominated by highly developed countries.
复制标题
公共人类微生物组数据由高度发达国家主导。
DOI：
10.1371/journal.pbio.3001536
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发表时间：
2022-03
期刊：
影响因子：
9.8
通讯作者：
Blekhman R
中科院分区：
文献类型：
--
作者：
Abdill RJ;Adamowicz EM;Blekhman R
The importance of sampling from globally representative populations has been well established in human genomics. In human microbiome research, however, we lack a full understanding of the global distribution of sampling in research studies. This information is crucial to better understand global patterns of microbiome-associated diseases and to extend the health benefits of this research to all populations. Here, we analyze the country of origin of all 444,829 human microbiome samples that are available from the world’s 3 largest genomic data repositories, including the Sequence Read Archive (SRA). The samples are from 2,592 studies of 19 body sites, including 220,017 samples of the gut microbiome. We show that more than 71% of samples with a known origin come from Europe, the United States, and Canada, including 46.8% from the US alone, despite the country representing only 4.3% of the global population. We also find that central and southern Asia is the most underrepresented region: Countries such as India, Pakistan, and Bangladesh account for more than a quarter of the world population but make up only 1.8% of human microbiome samples. These results demonstrate a critical need to ensure more global representation of participants in microbiome studies. The importance of sampling from globally representative populations has been well established in human genomics, but what about the microbiome? This study shows that metadata from almost half a million samples reveals worldwide human microbiome research is skewed heavily in favor of Europe and North America and excludes large but less developed nations in Asia and Africa.
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影响因子：
6.4
作者：
De Wolfe TJ;Arefin MR;Benezra A;Rebolleda Gómez M
通讯作者：
Rebolleda Gómez M
影响因子：
5.2
作者：
Adebamowo SN;Ma B;Zella D;Famooto A;Ravel J;Adebamowo C;ACCME Research Group
通讯作者：
ACCME Research Group
影响因子：
9.8
作者：
Brooks AW;Priya S;Blekhman R;Bordenstein SR
通讯作者：
Bordenstein SR
影响因子：
9.8
作者：
Eckert, Ester M.;Di Cesare, Andrea;Corno, Gianluca
通讯作者：
Corno, Gianluca
DOI：
10.1073/pnas.2017947118
发表时间：
2021-06-22
影响因子：
11.1
作者：
Amato, Katherine R.;Arrieta, Marie-Claire;Kuzawa, Christopher W.
通讯作者：
Kuzawa, Christopher W.