{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:PHFYZ264MIIWULHPTFJO3SSEAX","short_pith_number":"pith:PHFYZ264","schema_version":"1.0","canonical_sha256":"79cb8cebdc62116a2cef9952edca4405eefc09c436535f2d6965308c5741f42a","source":{"kind":"arxiv","id":"1201.5745","version":1},"attestation_state":"computed","paper":{"title":"Fast Identification of Biological Pathways Associated with a Quantitative Trait Using Group Lasso with Overlaps","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Giovanni Montana, Matt Silver","submitted_at":"2012-01-27T11:01:31Z","abstract_excerpt":"Where causal SNPs (single nucleotide polymorphisms) tend to accumulate within biological pathways, the incorporation of prior pathways information into a statistical model is expected to increase the power to detect true associations in a genetic association study. Most existing pathways-based methods rely on marginal SNP statistics and do not fully exploit the dependence patterns among SNPs within pathways. We use a sparse regression model, with SNPs grouped into pathways, to identify causal pathways associated with a quantitative trait. Notable features of our \"pathways group lasso with adap"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1201.5745","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-01-27T11:01:31Z","cross_cats_sorted":[],"title_canon_sha256":"0c015d79e77c1a8261e327f2083b0849704a37e2ebf585b3baa2510b25a408de","abstract_canon_sha256":"9a6b79790f799f88146e4837131c62c0fd630fe31404c9511b519233439ae566"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:03:44.611985Z","signature_b64":"N86aU07Jl9XtgJPo/ZpbNzE3eSchhlYtBSEtT2mQW0BJ3mUVPk1wzreTwhfLB3nORUgpJ/GGhlJ+RMBD3lm1Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"79cb8cebdc62116a2cef9952edca4405eefc09c436535f2d6965308c5741f42a","last_reissued_at":"2026-05-18T04:03:44.611371Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:03:44.611371Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Fast Identification of Biological Pathways Associated with a Quantitative Trait Using Group Lasso with Overlaps","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Giovanni Montana, Matt Silver","submitted_at":"2012-01-27T11:01:31Z","abstract_excerpt":"Where causal SNPs (single nucleotide polymorphisms) tend to accumulate within biological pathways, the incorporation of prior pathways information into a statistical model is expected to increase the power to detect true associations in a genetic association study. Most existing pathways-based methods rely on marginal SNP statistics and do not fully exploit the dependence patterns among SNPs within pathways. We use a sparse regression model, with SNPs grouped into pathways, to identify causal pathways associated with a quantitative trait. Notable features of our \"pathways group lasso with adap"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1201.5745","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1201.5745","created_at":"2026-05-18T04:03:44.611482+00:00"},{"alias_kind":"arxiv_version","alias_value":"1201.5745v1","created_at":"2026-05-18T04:03:44.611482+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1201.5745","created_at":"2026-05-18T04:03:44.611482+00:00"},{"alias_kind":"pith_short_12","alias_value":"PHFYZ264MIIW","created_at":"2026-05-18T12:27:18.751474+00:00"},{"alias_kind":"pith_short_16","alias_value":"PHFYZ264MIIWULHP","created_at":"2026-05-18T12:27:18.751474+00:00"},{"alias_kind":"pith_short_8","alias_value":"PHFYZ264","created_at":"2026-05-18T12:27:18.751474+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/PHFYZ264MIIWULHPTFJO3SSEAX","json":"https://pith.science/pith/PHFYZ264MIIWULHPTFJO3SSEAX.json","graph_json":"https://pith.science/api/pith-number/PHFYZ264MIIWULHPTFJO3SSEAX/graph.json","events_json":"https://pith.science/api/pith-number/PHFYZ264MIIWULHPTFJO3SSEAX/events.json","paper":"https://pith.science/paper/PHFYZ264"},"agent_actions":{"view_html":"https://pith.science/pith/PHFYZ264MIIWULHPTFJO3SSEAX","download_json":"https://pith.science/pith/PHFYZ264MIIWULHPTFJO3SSEAX.json","view_paper":"https://pith.science/paper/PHFYZ264","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1201.5745&json=true","fetch_graph":"https://pith.science/api/pith-number/PHFYZ264MIIWULHPTFJO3SSEAX/graph.json","fetch_events":"https://pith.science/api/pith-number/PHFYZ264MIIWULHPTFJO3SSEAX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PHFYZ264MIIWULHPTFJO3SSEAX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PHFYZ264MIIWULHPTFJO3SSEAX/action/storage_attestation","attest_author":"https://pith.science/pith/PHFYZ264MIIWULHPTFJO3SSEAX/action/author_attestation","sign_citation":"https://pith.science/pith/PHFYZ264MIIWULHPTFJO3SSEAX/action/citation_signature","submit_replication":"https://pith.science/pith/PHFYZ264MIIWULHPTFJO3SSEAX/action/replication_record"}},"created_at":"2026-05-18T04:03:44.611482+00:00","updated_at":"2026-05-18T04:03:44.611482+00:00"}