{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:EJH47WNXDZE3SKZRSQRVYTXWIT","short_pith_number":"pith:EJH47WNX","schema_version":"1.0","canonical_sha256":"224fcfd9b71e49b92b3194235c4ef644f509ba0c59940fcb7f3371f6fff450b0","source":{"kind":"arxiv","id":"1111.5487","version":1},"attestation_state":"computed","paper":{"title":"Generalized genetic association study with samples of related individuals","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Flavio Schenkel, William W. L. Wong, Xin Gao, Zeny Feng","submitted_at":"2011-11-23T13:31:39Z","abstract_excerpt":"Genetic association study is an essential step to discover genetic factors that are associated with a complex trait of interest. In this paper we present a novel generalized quasi-likelihood score (GQLS) test that is suitable for a study with either a quantitative trait or a binary trait. We use a logistic regression model to link the phenotypic value of the trait to the distribution of allelic frequencies. In our model, the allele frequencies are treated as a response and the trait is treated as a covariate that allows us to leave the distribution of the trait values unspecified. Simulation s"},"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":"1111.5487","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-11-23T13:31:39Z","cross_cats_sorted":[],"title_canon_sha256":"552fbce868d1291ec6a85bde68802eb3a2497416a8075be0185f60f642345f98","abstract_canon_sha256":"01c9eea0fef799e87729735eb476bc7627f52a55993333f721d00e7c43a548cf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:07:43.628542Z","signature_b64":"IJBEkhpHbK0nHpnxGNMlpnd1O329+1SbbbhVu/n/79AMpo7Cuj0PR+kCHDxwPDs2vPPGtwN+LLpo9lZlt3jrDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"224fcfd9b71e49b92b3194235c4ef644f509ba0c59940fcb7f3371f6fff450b0","last_reissued_at":"2026-05-18T04:07:43.628104Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:07:43.628104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Generalized genetic association study with samples of related individuals","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Flavio Schenkel, William W. L. Wong, Xin Gao, Zeny Feng","submitted_at":"2011-11-23T13:31:39Z","abstract_excerpt":"Genetic association study is an essential step to discover genetic factors that are associated with a complex trait of interest. In this paper we present a novel generalized quasi-likelihood score (GQLS) test that is suitable for a study with either a quantitative trait or a binary trait. We use a logistic regression model to link the phenotypic value of the trait to the distribution of allelic frequencies. In our model, the allele frequencies are treated as a response and the trait is treated as a covariate that allows us to leave the distribution of the trait values unspecified. Simulation s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1111.5487","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":"1111.5487","created_at":"2026-05-18T04:07:43.628172+00:00"},{"alias_kind":"arxiv_version","alias_value":"1111.5487v1","created_at":"2026-05-18T04:07:43.628172+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1111.5487","created_at":"2026-05-18T04:07:43.628172+00:00"},{"alias_kind":"pith_short_12","alias_value":"EJH47WNXDZE3","created_at":"2026-05-18T12:26:28.662955+00:00"},{"alias_kind":"pith_short_16","alias_value":"EJH47WNXDZE3SKZR","created_at":"2026-05-18T12:26:28.662955+00:00"},{"alias_kind":"pith_short_8","alias_value":"EJH47WNX","created_at":"2026-05-18T12:26:28.662955+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/EJH47WNXDZE3SKZRSQRVYTXWIT","json":"https://pith.science/pith/EJH47WNXDZE3SKZRSQRVYTXWIT.json","graph_json":"https://pith.science/api/pith-number/EJH47WNXDZE3SKZRSQRVYTXWIT/graph.json","events_json":"https://pith.science/api/pith-number/EJH47WNXDZE3SKZRSQRVYTXWIT/events.json","paper":"https://pith.science/paper/EJH47WNX"},"agent_actions":{"view_html":"https://pith.science/pith/EJH47WNXDZE3SKZRSQRVYTXWIT","download_json":"https://pith.science/pith/EJH47WNXDZE3SKZRSQRVYTXWIT.json","view_paper":"https://pith.science/paper/EJH47WNX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1111.5487&json=true","fetch_graph":"https://pith.science/api/pith-number/EJH47WNXDZE3SKZRSQRVYTXWIT/graph.json","fetch_events":"https://pith.science/api/pith-number/EJH47WNXDZE3SKZRSQRVYTXWIT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EJH47WNXDZE3SKZRSQRVYTXWIT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EJH47WNXDZE3SKZRSQRVYTXWIT/action/storage_attestation","attest_author":"https://pith.science/pith/EJH47WNXDZE3SKZRSQRVYTXWIT/action/author_attestation","sign_citation":"https://pith.science/pith/EJH47WNXDZE3SKZRSQRVYTXWIT/action/citation_signature","submit_replication":"https://pith.science/pith/EJH47WNXDZE3SKZRSQRVYTXWIT/action/replication_record"}},"created_at":"2026-05-18T04:07:43.628172+00:00","updated_at":"2026-05-18T04:07:43.628172+00:00"}