{"id":"W1937353909","doi":"10.1002/gepi.21725","title":"Adjusted Sequence Kernel Association Test for Rare Variants Controlling for Cryptic and Family Relatedness","year":2013,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre; Jewish General Hospital; McGill University Health Centre; Université du Québec à Montréal","funders":"Canadian Institutes of Health Research; Versus Arthritis; National Institute for Health and Care Research; Wellcome Trust","keywords":"Type I and type II errors; Association test; Heritability; Kernel (algebra); Trait; Identity by descent; Genetic association; Set (abstract data type); Mixed model; Variance (accounting); Computer science; Statistics; Computational biology; Data mining; Biology; Mathematics; Genetics; Allele; Genotype","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007080879,0.0003410776,0.0008376581,0.001681761,0.0003874347,0.0007116229,0.001197144,0.0008434581,0.005876103],"category_scores_gemma":[0.04070117,0.0001943189,0.001261122,0.001906681,0.0006859759,0.0009235083,0.0007524875,0.0008370433,0.0005617483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000340151,"about_ca_system_score_gemma":0.001097235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599566,"about_ca_topic_score_gemma":0.001280071,"domain_scores_codex":[0.9920986,0.004913846,0.000459039,0.001379832,0.0009229572,0.0002258054],"domain_scores_gemma":[0.9649543,0.02826372,0.002734252,0.002420973,0.001217383,0.0004093828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005907951,0.0005636731,0.5490351,0.0005746355,0.005759928,0.002338177,0.0006459032,0.04218916,0.02449603,0.0418443,0.005660194,0.320985],"study_design_scores_gemma":[0.0006557526,0.002506823,0.3852232,0.00007552875,0.001545013,0.005561579,0.0003662648,0.5241984,0.009770618,0.06013161,0.00976526,0.0001999955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4752711,0.0005498036,0.5180301,0.0002897586,0.0001306273,0.0001712968,0.001971085,0.0009960851,0.002590179],"genre_scores_gemma":[0.9289726,0.00006597384,0.06899729,0.00007842781,0.00002354794,0.000145695,0.00085182,0.00009379502,0.0007707201],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007080879,"threshold_uncertainty_score":0.03744775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03995450756433357,"score_gpt":0.2937202670825459,"score_spread":0.2537657595182123,"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."}}