A multi-ancestry genetic reference for the Quebec population is a dataset published in Nature Communications (2026). On theSindex it has a DataRank of 0.165, placing it in the top 57% 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 36/100.
While international efforts have characterized genetic variation in millions of individuals, the interplay of environmental, social, cultural and genetic factors is poorly understood for most worldwide populations. The province of Quebec in Canada has been the site of numerous genetic studies, often focusing on Mendelian diseases in founder sub-populations. Here, we analyze genome-wide genotyped variation in 29,337 Quebec residents from the multi-ancestry population-based cohort CARTaGENE (CaG) who provided DNA samples. We also sequence the whole-genome of 2,173 CaG participants with four grandparents born in Canada (n = 1879), Haiti (n = 163) and Morocco (n = 131). We use this genetic information to gain insight into Quebec's demography and to help interpret the potential significance of variants identified in clinically important genes (e.g., SPG7 implicated in hereditary spastic paraplegia). We validate an imputation panel constructed by phasing the CaG whole-genome sequence data and find, using genome-wide association studies (GWAS) of 42 clinically relevant traits, that it increases the number of associated loci by ~7% when compared to results obtained after imputation with the larger TOPMed imputation panel. We provide allele frequency information and GWAS results through dedicated and publicly available websites. The genetic data, paired with phenotypic and environmental information, is available for global research use.
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Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.165
From this paper's citation signal
Citation Network Contribution
0
From 0 citing papers with measurable signal
This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.
Learn more about DataRank methodology →DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 100% comes from its base citations and 0% from the citation network.
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.