{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:B3OPI7HAJQ4IRA3COW7PRO5VOQ","short_pith_number":"pith:B3OPI7HA","schema_version":"1.0","canonical_sha256":"0edcf47ce04c3888836275bef8bbb5743928878415a62e0917e96acae65b6d6a","source":{"kind":"arxiv","id":"1704.01207","version":2},"attestation_state":"computed","paper":{"title":"Bayesian Model Averaging for the X-Chromosome Inactivation Dilemma in Genetic Association Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Bo Chen, Lei Sun, Radu V. Craiu","submitted_at":"2017-04-04T22:34:49Z","abstract_excerpt":"X-chromosome is often excluded from the so called `whole-genome' association studies due to its intrinsic difference between males and females. One particular analytical challenge is the unknown status of X-inactivation, where one of the two X-chromosome variants in females may be randomly selected to be silenced. In the absence of biological evidence in favour of one specific model, we consider a Bayesian model averaging framework that offers a principled way to account for the inherent model uncertainty, providing model averaging-based posterior density intervals and Bayes factors. We examin"},"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":"1704.01207","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-04-04T22:34:49Z","cross_cats_sorted":[],"title_canon_sha256":"a9aedae5fd36e68246cb33a0a3dcbad483409710a2ada231fda4f7b3910b670d","abstract_canon_sha256":"6c91e538ff43ad7feec574c5f099207e425753026ecaf6961d11a7b6ec41af31"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:41:44.180552Z","signature_b64":"tkMtmFi1WSF2nTdzjSJUNFMk/AHEWV83vM0GQC83Q2wCYsgKQXFLYwuppVRa12m0ToT5Xig8p3oDPB9NYx0YDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0edcf47ce04c3888836275bef8bbb5743928878415a62e0917e96acae65b6d6a","last_reissued_at":"2026-05-18T00:41:44.179960Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:41:44.179960Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bayesian Model Averaging for the X-Chromosome Inactivation Dilemma in Genetic Association Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Bo Chen, Lei Sun, Radu V. Craiu","submitted_at":"2017-04-04T22:34:49Z","abstract_excerpt":"X-chromosome is often excluded from the so called `whole-genome' association studies due to its intrinsic difference between males and females. One particular analytical challenge is the unknown status of X-inactivation, where one of the two X-chromosome variants in females may be randomly selected to be silenced. In the absence of biological evidence in favour of one specific model, we consider a Bayesian model averaging framework that offers a principled way to account for the inherent model uncertainty, providing model averaging-based posterior density intervals and Bayes factors. We examin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.01207","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":"1704.01207","created_at":"2026-05-18T00:41:44.180064+00:00"},{"alias_kind":"arxiv_version","alias_value":"1704.01207v2","created_at":"2026-05-18T00:41:44.180064+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.01207","created_at":"2026-05-18T00:41:44.180064+00:00"},{"alias_kind":"pith_short_12","alias_value":"B3OPI7HAJQ4I","created_at":"2026-05-18T12:31:08.081275+00:00"},{"alias_kind":"pith_short_16","alias_value":"B3OPI7HAJQ4IRA3C","created_at":"2026-05-18T12:31:08.081275+00:00"},{"alias_kind":"pith_short_8","alias_value":"B3OPI7HA","created_at":"2026-05-18T12:31:08.081275+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/B3OPI7HAJQ4IRA3COW7PRO5VOQ","json":"https://pith.science/pith/B3OPI7HAJQ4IRA3COW7PRO5VOQ.json","graph_json":"https://pith.science/api/pith-number/B3OPI7HAJQ4IRA3COW7PRO5VOQ/graph.json","events_json":"https://pith.science/api/pith-number/B3OPI7HAJQ4IRA3COW7PRO5VOQ/events.json","paper":"https://pith.science/paper/B3OPI7HA"},"agent_actions":{"view_html":"https://pith.science/pith/B3OPI7HAJQ4IRA3COW7PRO5VOQ","download_json":"https://pith.science/pith/B3OPI7HAJQ4IRA3COW7PRO5VOQ.json","view_paper":"https://pith.science/paper/B3OPI7HA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1704.01207&json=true","fetch_graph":"https://pith.science/api/pith-number/B3OPI7HAJQ4IRA3COW7PRO5VOQ/graph.json","fetch_events":"https://pith.science/api/pith-number/B3OPI7HAJQ4IRA3COW7PRO5VOQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/B3OPI7HAJQ4IRA3COW7PRO5VOQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/B3OPI7HAJQ4IRA3COW7PRO5VOQ/action/storage_attestation","attest_author":"https://pith.science/pith/B3OPI7HAJQ4IRA3COW7PRO5VOQ/action/author_attestation","sign_citation":"https://pith.science/pith/B3OPI7HAJQ4IRA3COW7PRO5VOQ/action/citation_signature","submit_replication":"https://pith.science/pith/B3OPI7HAJQ4IRA3COW7PRO5VOQ/action/replication_record"}},"created_at":"2026-05-18T00:41:44.180064+00:00","updated_at":"2026-05-18T00:41:44.180064+00:00"}