Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:39220737

Identification and Mendelian randomization validation of pathogenic gene biomarkers in obstructive sleep apnea.

Nianjin Gong · Yu Tuo · Peijun Liu

Frontiers in neurology · 2024 doi:10.3389/fneur.2024.1442835

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:39220737
kind
science-record
content_hash
sha256:80754ff458c160aac50220f28230fdf8f37deea054bc83628c298da0fb82242a
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T20:29:21Z
updated_at
2026-11-01T21:33:48Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Identification and Mendelian randomization validation of pathogenic gene biomarkers in obstructive sleep apnea.
doi
10.3389/fneur.2024.1442835
pmid
39220737
authors array · 3 items
[0]
Nianjin Gong
[1]
Yu Tuo
[2]
Peijun Liu
journal
Frontiers in neurology
year
2024
abstract
Background: By 2020, obstructive sleep apnea (OSA), a prevalent respiratory disorder, had affected 26.6-43.2% of males and 8.7-27.8% of females worldwide. OSA is associated with conditions such as hypertension, diabetes, and tumor progression; however, the precise underlying pathways remain elusive. This study aims to identify genetic markers and molecular mechanisms of OSA to improve understanding and treatment strategies. Methods: The GSE135917 dataset related to OSA was obtained from the GEO database. Differentially expressed genes (DEGs) were subsequently identified. Weighted gene co-expression network analysis (WGCNA) was conducted to pinpoint disease-associated genes. The intersection of these data enabled the identification of potential diagnostic DEGs. Further analyses included Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment studies, exploration of protein-protein interactions based on these genes, and an examination of immune infiltration. Mendelian randomization was employed to validate core genes against the Genome-Wide Association Study database. Results: A total of 194 DEGs were identified in this study. WGCNA network analysis highlighted 2,502 DEGs associated with OSA. By intersecting these datasets, 53 diagnostic DEGs primarily involved in metabolic pathways were identified. Significant alterations were observed in immune cell populations, including memory B cells, plasma cells, naive CD4 T cells, M0 macrophages, and activated dendritic cells. CETN3, EEF1E1, PMM2, GTF2A2, and RRM2 emerged as hub genes implicated in the pathogenesis. A line graph model provides diagnostic insights. Mendelian randomization analysis confirmed a causal link between CETN3 and GTF2A2 with OSA. Conclusion: Through WGCNA, this analysis uncovered significant genetic foundations of OSA, identifying 2,502 DEGs and 194 genes associated with the disorder. Among these, CETN3 and GTF2A2 were found to have causal relationships with OSA.
claims array · 3 items
[0] object · 6 fields
id
claim-method
statement
Utilizing the WGCNA approach, the normalized expression data were analyzed.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39220737
locator
sections[4] "WGCNA analysis of gene expression" paragraph 2
quote
Utilizing the WGCNA approach, the normalized expression data were analyzed.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39220737
locator
sections[21] "Data availability statement" paragraph 2
quote
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
state
complete
[2] object · 6 fields
id
claim-target-result
statement
Through WGCNA, the analysis identified 2,502 DEGs and 194 genes associated with OSA, with CETN3 and GTF2A2 found to have causal relationships with OSA.
kind
qualitative
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39220737
locator
sections[0] "Abstract" paragraph 4
quote
Through WGCNA, this analysis uncovered significant genetic foundations of OSA, identifying 2,502 DEGs and 194 genes associated with the disorder. Among these, CETN3 and GTF2A2 were found to have causal relationships with OSA.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
complete
objective
Through WGCNA, the analysis identified 2,502 DEGs and 194 genes associated with OSA, with CETN3 and GTF2A2 found to have causal relationships with OSA.
steps array · 3 items
[0] object · 13 fields
id
read_published_estimate
order
1
name
Read the published estimate from the source
kind
other
state
complete
blocked_on
null
description
The claim, method and evidence span published with the source article.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:39220737
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data from the named repository
kind
data-preparation
state
complete
blocked_on
null
description
The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE135917
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 1 item
[0]
data:geo:GSE135917
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 0 items
data object · 3 fields
state
partial
assets array · 2 items
[0] object · 15 fields
id
source:pmid:39220737
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.3389/fneur.2024.1442835
sha256
sha256:256d8fbaac9dd66617fbd887ac7711c75d2c218876228420a687b493de7d884b
bytes
41686
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.3389/fneur.2024.1442835
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC11363542
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
[1] object · 15 fields
id
data:geo:GSE135917
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE135917
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE135917
version
null
note
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
access_statement_kind
data_availability_statement
sample_accessions array · 66 items
[0]
GSM4037879
[1]
GSM4037880
[2]
GSM4037881
[3]
GSM4037882
[4]
GSM4037883
[5]
GSM4037884
[6]
GSM4037885
[7]
GSM4037886
[8]
GSM4037887
[9]
GSM4037888
[10]
GSM4037889
[11]
GSM4037890
[12]
GSM4037891
[13]
GSM4037892
[14]
GSM4037893
[15]
GSM4037894
[16]
GSM4037895
[17]
GSM4037896
[18]
GSM4037897
[19]
GSM4037898
[20]
GSM4037899
[21]
GSM4037900
[22]
GSM4037901
[23]
GSM4037902
[24]
GSM4037903
[25]
GSM4037904
[26]
GSM4037905
[27]
GSM4037906
[28]
GSM4037907
[29]
GSM4037908
[30]
GSM4037909
[31]
GSM4037910
[32]
GSM4037911
[33]
GSM4037912
[34]
GSM4037913
[35]
GSM4037914
[36]
GSM4037915
[37]
GSM4037916
[38]
GSM4037917
[39]
GSM4037918
[40]
GSM4037919
[41]
GSM4037920
[42]
GSM4037921
[43]
GSM4037922
[44]
GSM4037923
[45]
GSM4037924
[46]
GSM4037925
[47]
GSM4037926
[48]
GSM4037927
[49]
GSM4037928
[50]
GSM4037929
[51]
GSM4037930
[52]
GSM4037931
[53]
GSM4037932
[54]
GSM4037933
[55]
GSM4037934
[56]
GSM4037935
[57]
GSM4037936
[58]
GSM4037937
[59]
GSM4037938
[60]
GSM4037939
[61]
GSM4037940
[62]
GSM4037941
[63]
GSM4037942
[64]
GSM4037943
[65]
GSM4037944
sample_count
66
group_sizes
null
group_sizes_basis
null
platform
6244
taxon
Homo sapiens
title
Subcutaneous fat transcriptome in obstructive sleep apnea and after treatment with CPAP
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
gaps array · 2 items
[0]
asset:data:geo:GSE135917 not downloaded
[1]
asset:data:geo:GSE135917 licence not read
analysis object · 4 fields
state
partial
methods array · 3 items
[0] object · 10 fields
id
method-1
family
genetic_association
specific
gwas
label
Genetic association (GWAS / linkage / MR)
dsl_operations array · 1 item
[0]
gwas_locus_scan
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
genotype_phenotype_table
evidence object · 3 fields
score
0.7
band
medium
quote
Genome-Wide Association Study
[1] object · 10 fields
id
method-2
family
genetic_association
specific
mendelian_randomisation
label
Genetic association (GWAS / linkage / MR)
dsl_operations array · 1 item
[0]
mr_estimate
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 1 item
[0]
genotype_phenotype_table
evidence object · 3 fields
score
0.7
band
medium
quote
Mendelian randomization
[2] object · 10 fields
id
method-3
family
null
specific
null
label
Weighted gene co-expression network analysis (WGCNA)
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
Utilizing the WGCNA approach, the normalized expression data were analyzed.
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
complete
tier
R1
blocked_on
nothing:replicable_now
axes object · 3 fields
method object · 5 fields
tier
R1
expressible
true
required_operations array · 1 item
[0]
gwas_locus_scan
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: gwas.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 1 item
[0]
GSE135917
resolved_accessions array · 1 item
[0]
GSE135917
statements array · 1 item
[0]
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
basis
The paper names GSE135917 in GEO database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 1 item
[0]
gwas_locus_scan
assets array · 2 items
[0]
source:pmid:39220737
[1]
data:geo:GSE135917
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:GSE135917
gaps array · 0 items
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T19:29:59Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
11862
completion_tokens
1290
cached_tokens
264
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:39220737
type
paper
label
pmid:39220737
[1] object · 3 fields
id
source:pmid:39220737
type
manuscript
label
PMID 39220737 full text
[2] object · 3 fields
id
data:geo:GSE135917
type
dataset
label
GEO GSE135917
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:39220737
type
paper
label
pmid:39220737
[1] object · 3 fields
id
source:pmid:39220737
type
manuscript
label
PMID 39220737 full text
[2] object · 3 fields
id
data:geo:GSE135917
type
dataset
label
GEO GSE135917
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-39220737
type
extraction
used array · 1 item
[0]
source:pmid:39220737
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-GSE135917
type
accession_resolution
used array · 1 item
[0]
data:geo:GSE135917
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:39220737
parent_hash
sha256:d0b8bb3aac59eb2bfc821a56eefecb0dfbcdc2eb8b7074036f29395205b62a39
fork_of
null
gaps array · 7 items
[0]
asset:data:geo:GSE135917 licence not read
[1]
asset:data:geo:GSE135917 not downloaded
[2]
execution.not_run
[3]
method.reader_named_unmapped
[4]
review.human_critique
[5]
review.independent_reader
[6]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
genetic_association
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
gwas_locus_scan
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
Genome-Wide Association Study
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39220737", "kind": "science-record", "revision": 2, "content_hash": "sha256:80754ff458c160aac50220f28230fdf8f37deea054bc83628c298da0fb82242a", "created_at": "2026-11-01T20:29:21Z", "updated_at": "2026-11-01T21:33:48Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and Mendelian randomization validation of pathogenic gene biomarkers in obstructive sleep apnea.", "doi": "10.3389/fneur.2024.1442835", "pmid": "39220737", "authors": ["Nianjin Gong", "Yu Tuo", "Peijun Liu"], "journal": "Frontiers in neurology", "year": 2024, "abstract": "Background: By 2020, obstructive sleep apnea (OSA), a prevalent respiratory disorder, had affected 26.6-43.2% of males and 8.7-27.8% of females worldwide. OSA is associated with conditions such as hypertension, diabetes, and tumor progression; however, the precise underlying pathways remain elusive. This study aims to identify genetic markers and molecular mechanisms of OSA to improve understanding and treatment strategies.\nMethods: The GSE135917 dataset related to OSA was obtained from the GEO database. Differentially expressed genes (DEGs) were subsequently identified. Weighted gene co-expression network analysis (WGCNA) was conducted to pinpoint disease-associated genes. The intersection of these data enabled the identification of potential diagnostic DEGs. Further analyses included Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment studies, exploration of protein-protein interactions based on these genes, and an examination of immune infiltration. Mendelian randomization was employed to validate core genes against the Genome-Wide Association Study database.\nResults: A total of 194 DEGs were identified in this study. WGCNA network analysis highlighted 2,502 DEGs associated with OSA. By intersecting these datasets, 53 diagnostic DEGs primarily involved in metabolic pathways were identified. Significant alterations were observed in immune cell populations, including memory B cells, plasma cells, naive CD4 T cells, M0 macrophages, and activated dendritic cells. CETN3, EEF1E1, PMM2, GTF2A2, and RRM2 emerged as hub genes implicated in the pathogenesis. A line graph model provides diagnostic insights. Mendelian randomization analysis confirmed a causal link between CETN3 and GTF2A2 with OSA.\nConclusion: Through WGCNA, this analysis uncovered significant genetic foundations of OSA, identifying 2,502 DEGs and 194 genes associated with the disorder. Among these, CETN3 and GTF2A2 were found to have causal relationships with OSA.", "claims": [{"id": "claim-method", "statement": "Utilizing the WGCNA approach, the normalized expression data were analyzed.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39220737", "locator": "sections[4] \"WGCNA analysis of gene expression\" paragraph 2", "quote": "Utilizing the WGCNA approach, the normalized expression data were analyzed."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39220737", "locator": "sections[21] \"Data availability statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Through WGCNA, the analysis identified 2,502 DEGs and 194 genes associated with OSA, with CETN3 and GTF2A2 found to have causal relationships with OSA.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:39220737", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "Through WGCNA, this analysis uncovered significant genetic foundations of OSA, identifying 2,502 DEGs and 194 genes associated with the disorder. Among these, CETN3 and GTF2A2 were found to have causal relationships with OSA."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Through WGCNA, the analysis identified 2,502 DEGs and 194 genes associated with OSA, with CETN3 and GTF2A2 found to have causal relationships with OSA.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:39220737"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE135917"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE135917"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:39220737", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fneur.2024.1442835", "sha256": "sha256:256d8fbaac9dd66617fbd887ac7711c75d2c218876228420a687b493de7d884b", "bytes": 41686, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fneur.2024.1442835", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC11363542", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE135917", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE135917", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE135917", "version": null, "note": "The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM4037879", "GSM4037880", "GSM4037881", "GSM4037882", "GSM4037883", "GSM4037884", "GSM4037885", "GSM4037886", "GSM4037887", "GSM4037888", "GSM4037889", "GSM4037890", "GSM4037891", "GSM4037892", "GSM4037893", "GSM4037894", "GSM4037895", "GSM4037896", "GSM4037897", "GSM4037898", "GSM4037899", "GSM4037900", "GSM4037901", "GSM4037902", "GSM4037903", "GSM4037904", "GSM4037905", "GSM4037906", "GSM4037907", "GSM4037908", "GSM4037909", "GSM4037910", "GSM4037911", "GSM4037912", "GSM4037913", "GSM4037914", "GSM4037915", "GSM4037916", "GSM4037917", "GSM4037918", "GSM4037919", "GSM4037920", "GSM4037921", "GSM4037922", "GSM4037923", "GSM4037924", "GSM4037925", "GSM4037926", "GSM4037927", "GSM4037928", "GSM4037929", "GSM4037930", "GSM4037931", "GSM4037932", "GSM4037933", "GSM4037934", "GSM4037935", "GSM4037936", "GSM4037937", "GSM4037938", "GSM4037939", "GSM4037940", "GSM4037941", "GSM4037942", "GSM4037943", "GSM4037944"], "sample_count": 66, "group_sizes": null, "group_sizes_basis": null, "platform": "6244", "taxon": "Homo sapiens", "title": "Subcutaneous fat transcriptome in obstructive sleep apnea and after treatment with CPAP", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}], "gaps": ["asset:data:geo:GSE135917 not downloaded", "asset:data:geo:GSE135917 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": "genetic_association", "specific": "gwas", "label": "Genetic association (GWAS / linkage / MR)", "dsl_operations": ["gwas_locus_scan"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["genotype_phenotype_table"], "evidence": {"score": 0.7, "band": "medium", "quote": "Genome-Wide Association Study"}}, {"id": "method-2", "family": "genetic_association", "specific": "mendelian_randomisation", "label": "Genetic association (GWAS / linkage / MR)", "dsl_operations": ["mr_estimate"], "missing_operations": [], "expressible": true, "parameters": {}, "data_shapes": ["genotype_phenotype_table"], "evidence": {"score": 0.7, "band": "medium", "quote": "Mendelian randomization"}}, {"id": "method-3", "family": null, "specific": null, "label": "Weighted gene co-expression network analysis (WGCNA)", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "Utilizing the WGCNA approach, the normalized expression data were analyzed."}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "complete", "tier": "R1", "blocking_axis": "none", "blocked_on": "nothing:replicable_now", "axes": {"method": {"tier": "R1", "expressible": true, "required_operations": ["gwas_locus_scan"], "missing_operations": [], "basis": "The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: gwas."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE135917"], "resolved_accessions": ["GSE135917"], "statements": ["The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author."], "basis": "The paper names GSE135917 in GEO database and the accession resolves in the repository. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": ["gwas_locus_scan"], "assets": ["source:pmid:39220737", "data:geo:GSE135917"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:GSE135917"]}, "gaps": []}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T19:29:59Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 11862, "completion_tokens": 1290, "cached_tokens": 264}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:39220737", "type": "paper", "label": "pmid:39220737"}, {"id": "source:pmid:39220737", "type": "manuscript", "label": "PMID 39220737 full text"}, {"id": "data:geo:GSE135917", "type": "dataset", "label": "GEO GSE135917"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:39220737", "type": "paper", "label": "pmid:39220737"}, {"id": "source:pmid:39220737", "type": "manuscript", "label": "PMID 39220737 full text"}, {"id": "data:geo:GSE135917", "type": "dataset", "label": "GEO GSE135917"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-39220737", "type": "extraction", "used": ["source:pmid:39220737"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-GSE135917", "type": "accession_resolution", "used": ["data:geo:GSE135917"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:39220737", "parent_hash": "sha256:d0b8bb3aac59eb2bfc821a56eefecb0dfbcdc2eb8b7074036f29395205b62a39", "fork_of": null, "generation": 1}, "gaps": ["asset:data:geo:GSE135917 licence not read", "asset:data:geo:GSE135917 not downloaded", "execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique"], "assays": [{"role": "analysis", "definition_id": "genetic_association", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["gwas_locus_scan"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.7, "evidence": ["Genome-Wide Association Study"], "order_basis": "analysis_only", "id": "assay:1"}]}