Data · dataset · 2026
Genomic SEM-derived GWAS Summary Statistics and AlphaFold3-predicted Protein Structures for Panvascular Disease
Listed in ScienceDB
This dataset contains derived genomic and structural data generated from a Genomic SEM study of panvascular disease.
Description
The genomic files include summary-level association statistics for the latent panvascular disease factor reconstructed from publicly available GWAS summary statistics. These data support risk locus identification, functional annotation, fine-mapping, and candidate gene prioritization.
The structural files include AlphaFold3-predicted PDBx/mmCIF models of wild-type and mutant candidate proteins, including CDKN1A, FTO, LPA, and SLC22A3, which were used for computational stability prediction and molecular dynamics simulation. No individual-level genotype, phenotype, or clinical data are included.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.38615 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Mathematics & Statistics · Medicine & Health · Social Science
- Inferred from text
- Disease 75% · Genetics 75% · Simulation 75%
Related
Provenance · 1 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.38615 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3105 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (75%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |