{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:T4ZRLSOHYBEQZ27MTK3SKEWHK6","short_pith_number":"pith:T4ZRLSOH","schema_version":"1.0","canonical_sha256":"9f3315c9c7c0490cebec9ab72512c757ba4bbe1df581ebfdd7881e139e22b42a","source":{"kind":"arxiv","id":"1211.1144","version":2},"attestation_state":"computed","paper":{"title":"Genome-wide association studies with high-dimensional phenotypes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Aki Havulinna, Jukka Corander, Jussi Gillberg, Pekka Marttinen, Samuel Kaski","submitted_at":"2012-11-06T08:46:20Z","abstract_excerpt":"High-dimensional phenotypes hold promise for richer findings in association studies, but testing of several phenotype traits aggravates the grand challenge of association studies, that of multiple testing. Several methods have recently been proposed for testing jointly all traits in a high-dimensional vector of phenotypes, with prospect of increased power to detect small effects that would be missed if tested individually. However, the methods have rarely been compared to the extent of enabling assessment of their relative merits and setting up guidelines on which method to use, and how to use"},"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":"1211.1144","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2012-11-06T08:46:20Z","cross_cats_sorted":[],"title_canon_sha256":"8f60150e8c5b23708ef3c2fdcfec0e1e746ea4bc972a744568ef7ebec9ab3d95","abstract_canon_sha256":"b23a7b62db8aab151c4330791cebfe1fab8e453a5d932772d0f910e6241aa91a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:25:59.021778Z","signature_b64":"i4awz5Qq5IOCd7bC0sx8wlIMJXTffE3c1H/4tcYUFBEDHmkGfZpQhf5fZXJXl0U2Q5dB16Fqy46NiTaAl9PjDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f3315c9c7c0490cebec9ab72512c757ba4bbe1df581ebfdd7881e139e22b42a","last_reissued_at":"2026-05-18T03:25:59.021220Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:25:59.021220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Genome-wide association studies with high-dimensional phenotypes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Aki Havulinna, Jukka Corander, Jussi Gillberg, Pekka Marttinen, Samuel Kaski","submitted_at":"2012-11-06T08:46:20Z","abstract_excerpt":"High-dimensional phenotypes hold promise for richer findings in association studies, but testing of several phenotype traits aggravates the grand challenge of association studies, that of multiple testing. Several methods have recently been proposed for testing jointly all traits in a high-dimensional vector of phenotypes, with prospect of increased power to detect small effects that would be missed if tested individually. However, the methods have rarely been compared to the extent of enabling assessment of their relative merits and setting up guidelines on which method to use, and how to use"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.1144","kind":"arxiv","version":2},"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":"1211.1144","created_at":"2026-05-18T03:25:59.021336+00:00"},{"alias_kind":"arxiv_version","alias_value":"1211.1144v2","created_at":"2026-05-18T03:25:59.021336+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.1144","created_at":"2026-05-18T03:25:59.021336+00:00"},{"alias_kind":"pith_short_12","alias_value":"T4ZRLSOHYBEQ","created_at":"2026-05-18T12:27:23.164592+00:00"},{"alias_kind":"pith_short_16","alias_value":"T4ZRLSOHYBEQZ27M","created_at":"2026-05-18T12:27:23.164592+00:00"},{"alias_kind":"pith_short_8","alias_value":"T4ZRLSOH","created_at":"2026-05-18T12:27:23.164592+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/T4ZRLSOHYBEQZ27MTK3SKEWHK6","json":"https://pith.science/pith/T4ZRLSOHYBEQZ27MTK3SKEWHK6.json","graph_json":"https://pith.science/api/pith-number/T4ZRLSOHYBEQZ27MTK3SKEWHK6/graph.json","events_json":"https://pith.science/api/pith-number/T4ZRLSOHYBEQZ27MTK3SKEWHK6/events.json","paper":"https://pith.science/paper/T4ZRLSOH"},"agent_actions":{"view_html":"https://pith.science/pith/T4ZRLSOHYBEQZ27MTK3SKEWHK6","download_json":"https://pith.science/pith/T4ZRLSOHYBEQZ27MTK3SKEWHK6.json","view_paper":"https://pith.science/paper/T4ZRLSOH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1211.1144&json=true","fetch_graph":"https://pith.science/api/pith-number/T4ZRLSOHYBEQZ27MTK3SKEWHK6/graph.json","fetch_events":"https://pith.science/api/pith-number/T4ZRLSOHYBEQZ27MTK3SKEWHK6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/T4ZRLSOHYBEQZ27MTK3SKEWHK6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/T4ZRLSOHYBEQZ27MTK3SKEWHK6/action/storage_attestation","attest_author":"https://pith.science/pith/T4ZRLSOHYBEQZ27MTK3SKEWHK6/action/author_attestation","sign_citation":"https://pith.science/pith/T4ZRLSOHYBEQZ27MTK3SKEWHK6/action/citation_signature","submit_replication":"https://pith.science/pith/T4ZRLSOHYBEQZ27MTK3SKEWHK6/action/replication_record"}},"created_at":"2026-05-18T03:25:59.021336+00:00","updated_at":"2026-05-18T03:25:59.021336+00:00"}