Supporting data for "Connections between human gut microbiome and gestational diabetes mellitus"

Dataset type: Metagenomic
Data released on July 11, 2017

Chen N; Chen Q; Deng H; He J; Hu C; Kuang Y; Li J; Li S; Li W; Lu J; Papasian CJ; Qiu L; Shen S; Wu Y; Wu Y; Xiao W; Yuan M; Qiu X; Xia H (2017): Supporting data for "Connections between human gut microbiome and gestational diabetes mellitus" GigaScience Database. http://dx.doi.org/10.5524/100326

DOI10.5524/100326

The human gut microbiome can modulate metabolic health and affect insulin resistance, and may play an important role in the etiology of gestational diabetes mellitus (GDM). Here, we compared the gut microbial composition of 43 GDM patients and 81 healthy pregnant women via whole-metagenome shotgun sequencing of their fecal samples collected at 21-29 weeks, to explore associations between GDM and the composition of microbial taxonomic units and functional genes. Metagenome-wide association study (MGWAS) identified 154,837 genes, which clustered into 129 metagenome linkage groups (MLGs) for species description, with significant relative abundance differences between the two cohorts. Parabacteroides distasonis, Klebsiella variicola, etc., were enriched in GDM patients, whereas Methanobrevibacter smithii, Alistipes spp., Bifidobacterium spp. and Eubacterium spp. were enriched in controls. The ratios of the gross abundances of GDM-enriched MLGs to control-enriched MLGs were positively correlated with blood glucose levels. Random Forest model shows fecal MLGs have excellent discriminatory power to predict GDM status.

Additional details

Read the peer-reviewed publication(s):

Kuang, Y.-S., Lu, J.-H., Li, S.-H., Li, J.-H., Yuan, M.-Y., He, J.-R., … Qiu, X. (2017). Connections between the human gut microbiome and gestational diabetes mellitus. GigaScience, 6(8), 1–12. doi:10.1093/gigascience/gix058

Accessions (data included in GigaDB):

SRA: ERP020710





Sample IDTaxonomic IDCommon NameGenbank NameScientific NameSample Attributes
C001408170Human gut metagenome human gut metagenome Age:30
Total mass:72
Height:160
...
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C002408170Human gut metagenome human gut metagenome Age:29
Total mass:61
Height:160
...
+
C006408170Human gut metagenome human gut metagenome Age:29
Total mass:55
Height:165
...
+
C008408170Human gut metagenome human gut metagenome Age:26
Total mass:58
Height:168
...
+
C011408170Human gut metagenome human gut metagenome Age:32
Total mass:not recorded
Height:not recorded
...
+
C012408170Human gut metagenome human gut metagenome Age:20
Total mass:47.5
Height:160
...
+
C013408170Human gut metagenome human gut metagenome Age:25
Total mass:50
Height:160
...
+
C014408170Human gut metagenome human gut metagenome Age:36
Total mass:56
Height:172
...
+
C015408170Human gut metagenome human gut metagenome Age:39
Total mass:48
Height:160
...
+
C016408170Human gut metagenome human gut metagenome Age:28
Total mass:51
Height:160
...
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Displaying 1-10 of 124 Sample(s).




File NameSample IDData TypeFile FormatSizeRelease Date 
Tabular DataCSV16.14 KB2017-07-06
Tabular DataCSV2.41 KB2017-07-06
C001Coding sequenceUNKNOWN56.11 MB2017-07-06
C001Sequence assemblyUNKNOWN62.92 MB2017-07-06
C002Coding sequenceUNKNOWN55.09 MB2017-07-06
C002Sequence assemblyUNKNOWN61.75 MB2017-07-06
C006Coding sequenceUNKNOWN69.23 MB2017-07-06
C006Sequence assemblyUNKNOWN77.43 MB2017-07-06
C008Coding sequenceUNKNOWN66.59 MB2017-07-06
C008Sequence assemblyUNKNOWN74.56 MB2017-07-06
Displaying 1-10 of 269 File(s).
Funding body Awardee Award ID Comments
National Natural Science Foundation of China X Qiu 81673181
Guangzhou Science and Technology Bureau X Qiu 201508030037
Shenzhen Municipal Government of China J-H Li JSGG20160229172752028
Shenzhen Municipal Government of China J-H Li CXB201108250098A
Shenzhen Municipal Government of China J-H Li JSGG20140702161403250
Date Action
July 11, 2017 Dataset publish
October 2, 2017 Manuscript Link added : 10.1093/gigascience/gix058