# GENETICS 605: Clinical Cases in Medical Genetics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/GENETICS_605) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id ed95c53db5b2afb8594c964b08cf8c40c4899f86fbea844f372b4d3e4216ac5d ### course id GENETICS 605 ### course uid course\_6df45c43cc5fe65ce98d124a ### catalog version id 83f85728cfd79b1270f223e938a97d03caf237e48936c922f5d15e0bbeadcd36 ### course number 605 ### subjects * GENETICS ### title CLINICAL CASES IN MEDICAL GENETICS ### description The use of genetics in medicine has experienced significant growth over the past 50 years, identifying risk genes, and devising diagnostic tests and therapies based on this knowledge for specific clinical disorders such as cystic fibrosis, achondroplasia, and Retts syndrome. MDs and biomedical scientists from UW Hospital and Clinics, the School of Medicine and Public Health, and other UW units will present lectures in this field followed by question-answers sessions. Other class sessions will be devoted to student presentations and open discussion of research literature. ### requirements text GENETICS 466,467orBIOCORE 383 ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id a2c5134e9bbd71fe051af3b7a83ed9643fbb0d7c3172088511e8965a7a9829b9 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers the application of genetics in medicine, focusing on risk gene identification and the development of diagnostic tests and therapies for clinical disorders. ### llm topics * Clinical disorders including cystic fibrosis, achondroplasia, and Rett syndrome. * Risk gene identification and therapeutic development. ### llm skills * Identifying risk genes and devising diagnostic tests and therapies. * Presenting and discussing research literature. ### llm assumed background * Foundational knowledge in cellular biology, transmission genetics, molecular genetics, and genetic engineering. ### llm search phrases * medical genetics clinical cases * genetics in medicine * clinical disorders genetics * genetic diagnostic tests therapies ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash e0c63568eddee81c43563e435723baee8129d7d5fb4fefcd9fc4d534aac2454b #### course id GENETICS 605 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.66 GPA, 80.0% A/AB (n=35 letter grades); Spring 2025: 3.30 GPA, 47.8% A/AB (n=23 letter grades); Spring 2026: 3.41 GPA, 69.0% A/AB (n=29 letter grades). ```json { "citations": [ { "course_id": "GENETICS 605", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f3e5f6f7-cfff-3d11-8d34-b62f4c2ddee8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "GENETICS 605", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f3e5f6f7-cfff-3d11-8d34-b62f4c2ddee8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GENETICS 605", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "f3e5f6f7-cfff-3d11-8d34-b62f4c2ddee8", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "GENETICS 466,467orBIOCORE 383", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 466, "minimum_grade": null, "subjects": [ "GENETICS" ], "timing": "prior" }, "evidence": "GENETICS 466", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 467, "minimum_grade": null, "subjects": [ "GENETICS" ], "timing": "prior" }, "evidence": "467", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 383, "minimum_grade": null, "subjects": [ "BIOCORE" ], "timing": "prior" }, "evidence": "BIOCORE 383", "id": "n3", "kind": "course" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_41ca0b8dda0a5a628a3c9797", "source": "madgrades", "source_instructor_id": "6046456", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL MEYN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.675, "graded": 20, "counts": [ 9, 9, 2, 0, 0, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/MICHAEL_MEYN" }, { "instructor_uid": "instructor_464e486df67acbaa6a65c95d", "source": "madgrades", "source_instructor_id": "6240297", "identity_basis": "source_id", "identity_status": "source_identified", "name": "STEVEN SCHRODI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.388, "graded": 343, "counts": [ 119, 105, 69, 27, 21, 2, 0 ], "sections": 22 }, "instructor_url": "/instructors/STEVEN_SCHRODI--instructor_464e486df67acbaa6a65c95d" }, { "instructor_uid": "instructor_9e820bad7c45a5eae810e11f", "source": "madgrades", "source_instructor_id": "2601956", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TOMAS PROLLA", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.362, "graded": 598, "counts": [ 264, 121, 108, 36, 50, 17, 2 ], "sections": 30 }, "instructor_url": "/instructors/TOMAS_PROLLA--instructor_9e820bad7c45a5eae810e11f" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 605", "course_uid": "course_6df45c43cc5fe65ce98d124a", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "MICHAEL MEYN", "Steven Schrodi", "Tomas Prolla" ], "a": 9, "ab": 9, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 21, "source_aliases": [ "GENETICS 605" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 605", "course_uid": "course_6df45c43cc5fe65ce98d124a", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Tomas Prolla" ], "a": 5, "ab": 2, "b": 3, "bc": 3, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 13, "source_aliases": [ "GENETICS 605" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 605", "course_uid": "course_6df45c43cc5fe65ce98d124a", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Tomas Prolla" ], "a": 18, "ab": 10, "b": 7, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 35, "source_aliases": [ "GENETICS 605" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 605", "course_uid": "course_6df45c43cc5fe65ce98d124a", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Tomas Prolla" ], "a": 11, "ab": 0, "b": 8, "bc": 0, "c": 4, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 23, "source_aliases": [ "GENETICS 605" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENETICS 605", "course_uid": "course_6df45c43cc5fe65ce98d124a", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Tomas Prolla" ], "a": 11, "ab": 9, "b": 5, "bc": 1, "c": 3, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "GENETICS 605" ] } ] ``` ### statistics #### gpa 3.5 #### graded 120 #### counts * 54 * 30 * 25 * 4 * 7 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_6df45c43cc5fe65ce98d124a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_6df45c43cc5fe65ce98d124a-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_6df45c43cc5fe65ce98d124a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_6df45c43cc5fe65ce98d124a-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_6df45c43cc5fe65ce98d124a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_6df45c43cc5fe65ce98d124a-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.5 #### count 120 #### university ##### size 2947 ##### gpa Percentile 22 ##### count Percentile 52 ##### median Count 113 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 200 | false | | 3.2–3.6 | 728 | true | | 3.6–4.0 | 2007 | false | #### departments ```json [ { "subject": "GENETICS", "comparison": { "size": 23, "gpaPercentile": 18, "countPercentile": 64, "medianCount": 116, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 18, "current": false } ] } } ] ``` ### terms #### 1224 ##### term 1224 ##### gpa 3.675 ##### count 20 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | #### 1234 ##### term 1234 ##### gpa 3.3461538461538463 ##### count 13 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | #### 1244 ##### term 1244 ##### gpa 3.657142857142857 ##### count 35 ##### university ###### size 1241 ###### gpa Percentile 50 ###### count Percentile 11 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | #### 1254 ##### term 1254 ##### gpa 3.3043478260869565 ##### count 23 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | #### 1264 ##### term 1264 ##### gpa 3.413793103448276 ##### count 29 ##### departments | subject | comparison | | -------- | ---------- | | GENETICS | | ### benchmarks #### all ##### school ###### size 2947 ###### gpa 3.684503227431485 ###### top Share 83.48969667841149 ###### count 113 ##### GENETICS ###### size 23 ###### gpa 3.7090385084860715 ###### top Share 84.94349641328344 ###### count 116 #### terms ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### GENETICS ###### size 10 ###### gpa 3.594240722988902 ###### top Share 77.27984404707018 ###### count 48.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### GENETICS ###### size 10 ###### gpa 3.7217207615932018 ###### top Share 85.53487628051057 ###### count 49.5 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_9e820bad7c45a5eae810e11f", "name": "TOMAS PROLLA", "count": 120, "terms": [ { "term": "1224", "count": 20, "sections": 1, "gpa": 3.675 }, { "term": "1234", "count": 13, "sections": 1, "gpa": 3.3461538461538463 }, { "term": "1244", "count": 35, "sections": 1, "gpa": 3.657142857142857 }, { "term": "1254", "count": 23, "sections": 1, "gpa": 3.3043478260869565 }, { "term": "1264", "count": 29, "sections": 1, "gpa": 3.413793103448276 } ] }, { "uid": "instructor_41ca0b8dda0a5a628a3c9797", "name": "MICHAEL MEYN", "count": 20, "terms": [ { "term": "1224", "count": 20, "sections": 1, "gpa": 3.675 } ] }, { "uid": "instructor_464e486df67acbaa6a65c95d", "name": "STEVEN SCHRODI", "count": 20, "terms": [ { "term": "1224", "count": 20, "sections": 1, "gpa": 3.675 } ] } ] ``` ## following None recorded.