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Aging (Albany NY). 2017 Aug 31;9(8):1916-1925. doi: 10.18632/aging.101280.

MortalityPredictors.org: a manually-curated database of published biomarkers of human all-cause mortality.

Author information

1
BioAge Labs, Berkeley, CA 94703, USA.
#
Contributed equally

Abstract

Biomarkers of all-cause mortality are of tremendous clinical and research interest. Because of the long potential duration of prospective human lifespan studies, such biomarkers can play a key role in quantifying human aging and quickly evaluating any potential therapies. Decades of research into mortality biomarkers have resulted in numerous associations documented across hundreds of publications. Here, we present MortalityPredictors.org, a manually-curated, publicly accessible database, housing published, statistically-significant relationships between biomarkers and all-cause mortality in population-based or generally healthy samples. To gather the information for this database, we searched PubMed for appropriate research papers and then manually curated relevant data from each paper. We manually curated 1,576 biomarker associations, involving 471 distinct biomarkers. Biomarkers ranged in type from hematologic (red blood cell distribution width) to molecular (DNA methylation changes) to physical (grip strength). Via the web interface, the resulting data can be easily browsed, searched, and downloaded for further analysis. MortalityPredictors.org provides comprehensive results on published biomarkers of human all-cause mortality that can be used to compare biomarkers, facilitate meta-analysis, assist with the experimental design of aging studies, and serve as a central resource for analysis. We hope that it will facilitate future research into human mortality and aging.

KEYWORDS:

aging; biomarker; database; mortality; population-based

PMID:
28858850
PMCID:
PMC5611985
DOI:
10.18632/aging.101280
[Indexed for MEDLINE]
Free PMC Article

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