An atlas of exposome-phenome associations in health and disease risk is a dataset (2025). On theSindex it has a DataRank of 0.155, placing it in the top 57.1% of the data-sharing corpus. It has been cited 2 times, with 1 citing works in its 1-hop citation network. Its calibrated FAIR score is 38/100.
Non-genetic exposures including nutrients, lifestyle factors, consumables, and pollutants substantially contribute to phenotypic variation. Most studies assess only a few exposures or phenotypes, yielding fragmented exposome-phenome relationships. Systematic approaches are needed to quantify how the exposome the totality of environmental exposures relates broadly to clinically relevant phenotypes. We developed a resource benchmarking the role of the exposome using data from the National Health and Nutrition Examination Survey (NHANES), cataloging 619 exposures and 278 phenotypes, and systematically testing associations (Phenotype-exposure-wide association study [P-ExWAS]). Among 119k associations, 5% (n=5,661) were Bonferroni significant, and 40% replicated across independent population samples. Single exposures explained modest variance (median R-squared=0.5%; interquartile range [IQR]: 0.27 - 1.10%). Twenty simultaneous exposome factors increased median variance explained to 3.5% (IQR: 1.8 - 7.8%), comparable to 1M genetic variants. The exposome-phenome atlas is available at: http://apps.chiragjpgroup.org/pe_atlas/.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
0.0510
From 1 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 67% comes from its base citations and 33% from the citation network (1 citing paper contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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