CausalSentinel

Protein Dossier — SERPINA10 (Protein Z-dependent protease inhibitor)

MR feasibility tier: A — Published pQTL-MR estimates exist for this protein (retrieved below - not computed here).

1. Published MR estimates (retrieved, not computed)

Outcome	beta	se	p	method	nSNP	cis/trans	coloc
Potassium in urine	-0.00776	0.00293	0.00812	Inverse variance weighted	3	cis	NA
Potassium in urine	-0.00776	0.00293	0.00812	Inverse variance weighted	3	trans	NA
Potassium in urine	-0.00776	0.00293	0.00812	Inverse variance weighted	3	trans	NA
Diagnoses - main ICD10: K80 Cholelithiasis	0.000949	0.000367	0.00966	Inverse variance weighted	3	cis	NA
Diagnoses - main ICD10: K80 Cholelithiasis	0.000949	0.000367	0.00966	Inverse variance weighted	3	trans	NA
Diagnoses - main ICD10: K80 Cholelithiasis	0.000949	0.000367	0.00966	Inverse variance weighted	3	trans	NA
Diagnoses - main ICD10: D25 Leiomyoma of uterus	-0.000719	0.000289	0.0129	Inverse variance weighted	3	cis	NA
Diagnoses - main ICD10: D25 Leiomyoma of uterus	-0.000719	0.000289	0.0129	Inverse variance weighted	3	trans	NA
Diagnoses - main ICD10: D25 Leiomyoma of uterus	-0.000719	0.000289	0.0129	Inverse variance weighted	3	trans	NA
Years of schooling	-0.00989	0.00408	0.0154	Inverse variance weighted	2	cis	NA
Years of schooling	-0.00989	0.00408	0.0154	Inverse variance weighted	2	trans	NA
Diastolic blood pressure automated reading	-0.006	0.0026	0.0213	Inverse variance weighted	3	cis	NA
…and 260 more outcomes (see JSON)

2. pQTL instrument availability (Tier-B probe)

No prot-* pQTL GWAS dataset found for this protein (matched by UniProt accession and symbol).

3. GWAS Catalog results — traits with signal at this locus

75 association rows across 52 traits (68 genome-wide significant rows). Associations are loci, not causal claims; the mapped gene at a locus is not necessarily the effector gene.

Trait	best p	lead SNP	n assoc	study	MR status
Protein Z-dependent protease inhibitor levels	5e-831	rs12434093	6	GCST90249198	no MR -> candidate analysis
Albumin levels	3e-304	rs45505795	2	GCST90501097	no MR -> candidate analysis
Bone mineral density mean	1e-300	rs145730801	1	GCST90321120	no MR -> candidate analysis
Blood protein levels	4e-223	rs941591	7	GCST006585	no MR -> candidate analysis
Dual specificity mitogen-activated protein kinase kinase 2 l	1e-172	rs2232698	4	GCST90161864	no MR -> candidate analysis
Serum levels of protein SERPINA10	5e-170	rs2232710	2	GCST90089512	no MR -> candidate analysis
Protein Z-dependent protease inhibitor levels (SERPINA10.131	2e-163	rs941591	3	GCST90242530	no MR -> candidate analysis
Glycoprotein acetyls levels	5e-137	rs45505795	1	GCST90501111	no MR -> candidate analysis
Serum levels of protein MAP2K2	5e-109	rs2232710	1	GCST90088467	no MR -> candidate analysis
Slit homolog 3 protein levels	8e-56	rs2232700	1	GCST90249574	no MR -> candidate analysis
Serum levels of protein GOT1	2e-48	rs2232710	1	GCST90088808	no MR -> candidate analysis
Aspartate aminotransferase, cytoplasmic levels	3e-45	rs2232710	2	GCST90246496	no MR -> candidate analysis
…and 40 more traits (see JSON)

4. Phenome map — where this gene is a genetic locus, vs. where MR exists

Top diseases by Open Targets association (of 81 total). Associations are loci, not causal claims. The causal-status column is a four-state triage per pair: established (curated) = a curated clinical assertion exists (ClinGen/G2P/GEL/Orphanet/ClinVar — any validity level, MR adds little); exploratory rare-variant signal = ExWAS burden evidence without curation — a candidate NEW gene-disease relationship; common-variant locus = GWAS signal, classic pQTL-MR territory; multi-layer = burden+GWAS together, an allelic-series candidate (the strongest causal setup). Burden estimand is carrier-vs-noncarrier, not per-SD MR.

Disease	genetic assoc.	burden (ExWAS)	causal status	MR status
venous thromboembolism	0.48	—	common-variant locus	no MR -> candidate analysis
macular degeneration	0.463	—	common-variant locus	no MR -> candidate analysis
scoliosis	0.461	—	common-variant locus	no MR -> candidate analysis
response to bronchodilator	0.109	—	common-variant locus	no MR -> candidate analysis
pulmonary embolism	0.044	—	common-variant locus	MR: beta=0.000439, p=0.17 (cis)
diabetes mellitus	0.042	—	common-variant locus	no MR -> candidate analysis
femur fracture	0.04	—	common-variant locus	no MR -> candidate analysis

Of the 7 rows above, 6 have no MR estimate in this resource. Across all retrieved diseases for this gene: 0 exploratory rare-variant signal(s), 0 multi-layer (allelic-series candidate) pair(s). Final triage still belongs to a statistical geneticist.

5. Downstream annotation (druggability & safety preview)

Layer	Result
ChEMBL druggability	not available — no ChEMBL target (undrugged)
gnomAD constraint	pLI=7.8e-08, LOEUF=1.2 — LoF-tolerant
GWAS Catalog	110 unique SNPs / 256 rows
ClinVar	97 records; 0 pathogenic in sample of 30
PharmGKB/ClinPGx	no annotations

Caveats declared by the tools

• phenome — Top 30 of 81 associated diseases by overall score. genetic_association aggregates GWAS common-variant AND rare-variant evidence. These are ASSOCIATIONS (loci), not causal claims.
• chembl — No ChEMBL target for ‘SERPINA10’.
• clinvar — Pathogenic count is over the 30 record(s) retrieved, NOT over all 97 ClinVar records for this gene; it is a sample, not a rate.
• pharmgkb — No PharmGKB/ClinPGx clinical annotations (gene may not be a pharmacogene).
• gwas_traits — Top 20 of 52 traits by best p-value, aggregated from 75 association rows. These are GWAS ASSOCIATIONS (loci), not causal claims; mapped genes at a locus are not necessarily the effector gene.

Sources

• uniprot: https://www.uniprot.org/uniprotkb/Q9UK55 — UniProt release 2026_02 (10-June-2026)
• mr_outcomes: https://epigraphdb.org/pqtl/ — EpiGraphDB pQTL MR (Zheng et al., Nat Genet 2020) — pre-computed two-sample MR; retrieved, not computed by this agent; EpiGraphDB build 1.0, pQTL dataset v3.0
• phenome: https://platform.opentargets.org/target/ENSG00000140093/associations — Open Targets data release 26.06
• gnomad: https://gnomad.broadinstitute.org/gene/SERPINA10 — gnomAD constraint via GraphQL API (reference genome GRCh38)
• gwas: https://www.ebi.ac.uk/gwas/genes/SERPINA10 — GWAS Catalog REST (live; release not exposed by this endpoint)
• clinvar: https://www.ncbi.nlm.nih.gov/clinvar/?term=SERPINA10%5Bgene%5D — ClinVar build Build260809-1055.1
• gwas_traits: https://www.ebi.ac.uk/gwas/genes/SERPINA10 — GWAS Catalog search API (live; release not exposed)

Provenance

• Generated: 2026-08-14T05:00:59 · Tier: A
• Fully mechanical: every cell above is rendered from tool return values. No language model wrote any part of this dossier.
• MR estimates, where present, are retrieved from published work (EpiGraphDB pQTL, Zheng et al. Nat Genet 2020); nothing is computed here.
• Tool errors this run: none

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