{"id":"W2041556087","doi":"10.1086/420775","title":"Genomewide Linkage Analysis of Bipolar Disorder by Use of a High-Density Single-Nucleotide–Polymorphism (SNP) Genotyping Assay: A Comparison with Microsatellite Marker Assays and Finding of Significant Linkage to Chromosome 6q22","year":2004,"lang":"en","type":"article","venue":"The American Journal of Human Genetics","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":173,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"National Institutes of Health; National Institute of Mental Health; National Alliance for Research on Schizophrenia and Depression","keywords":"Genotyping; Genetics; Microsatellite; Single-nucleotide polymorphism; Biology; SNP genotyping; Genetic linkage; Linkage (software); SNP; SNP array; Genotype; Computational biology; Allele; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001061355,0.0003389942,0.000309004,0.001176207,0.0002852956,0.000332389,0.0002428232,0.0004554843,0.001068265],"category_scores_gemma":[0.001292178,0.0002383712,0.0004183303,0.0005906195,0.0001837565,0.0001323602,0.0003253753,0.0005021103,0.0002192848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001910688,"about_ca_system_score_gemma":0.0002173487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00201569,"about_ca_topic_score_gemma":0.00380395,"domain_scores_codex":[0.9993752,0.0003143109,0.00003447068,0.0001148669,0.000122914,0.000038284],"domain_scores_gemma":[0.9993643,0.0003389204,0.0001178426,0.00005053531,0.00006817216,0.00006021608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00548207,0.0005346051,0.3630235,0.0001309625,0.001079082,0.001277954,0.0004562618,0.001283482,0.5772555,0.0007753666,0.0006464707,0.0480548],"study_design_scores_gemma":[0.0002483257,0.001066556,0.9542637,0.0000170521,0.0005035903,0.004359248,0.0001287526,0.004249104,0.03316177,0.0003530837,0.00161574,0.00003301009],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935056,0.0007803625,0.004363075,0.000111427,0.00002061863,0.00002275982,0.0003613663,0.00002886532,0.0008058572],"genre_scores_gemma":[0.991065,0.0003941855,0.007481413,0.00007451109,0.00001608945,0.00003009099,0.0005137719,0.00001220482,0.0004127425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00201569,"threshold_uncertainty_score":0.005613029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695080839274387,"score_gpt":0.242050081322921,"score_spread":0.2250992729301771,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}