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Comparing the Metagenomic Performance of Stools Collected from Custom Cards and 95% Ethanol in Epidemiologic Studies
Thomas M Kuntz1,2, Ling Liu3, Kai Wang4
1Harvard Chan Microbiome Analysis Core, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Background:
Stool cards have been used for microbiome assessment in epidemiologic studies.
Methods:
We compared shotgun metagenomic sequencing from 32 participants who self-collected stool samples from the same bowel movement using a custom stool card versus a collection tube with 95% ethanol fixative in the Nurses' Health Study II. We evaluated the agreement between methods at both the whole-community and individual species levels. To contextualize the comparison for disease association studies, we assessed the performance of the two collection methods for differentiating colorectal cancer-associated taxa.
Results:
Overall, metagenomes from cards and 95% ethanol were highly correlated within individuals. No difference was found in α diversity and only ∼1% of variation in β diversity was explained by the collection method. At the species level, although the relative abundances were highly correlated between card and ethanol sample pairs (Spearman rho = 0.96), 10 (of 239) species showed a differential abundance in paired samples, including overrepresentation of Escherichia coli and underrepresentation of three Streptococcus species in cards compared with ethanol. Among a set of 99 colorectal cancer-associated species, four showed differential abundances between collection methods; however, this number was consistent with that expected by chance.
Conclusions:
Metagenomic sequencing using stool samples self-collected using stool cards or 95% ethanol yielded largely consistent results although differential abundances were observed for a small number of individual species.
Impact:
Stool cards can be a cost-effective alternative to collect stool samples for metagenomic sequencing in epidemiologic studies but warrant additional considerations for data analysis.
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