- Docente: Elena Bacchelli
- Credits: 6
- SSD: BIO/18
- Language: English
- Moduli: Elena Bacchelli (Modulo 1) Elena Bacchelli (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Statistical Sciences (cod. 9222)
-
from Feb 11, 2025 to Mar 12, 2025
-
from Feb 13, 2025 to Mar 13, 2025
Learning outcomes
By the end of the course the student knows the analysis of the human genome and the molecular basis of genetic disorders. In particular, the student learns the main approaches for the genetic analysis of Mendelian and complex traits (linkage analysis, association), the elements of molecular pathology and epigenetic mechanisms, the main bioinformatics tools for the analysis of the human genome and some common techniques used in the laboratory.
Course contents
Introduction to genetics
The basis of heredity: Mendel's laws; monohybrid crosses (dominance and segregation); dihybrid crosses (independent assortment); Predicting the outcome of genetic crosses
Structure and replication of DNA: DNA double helix
Gene expression; the central dogma: From DNA to RNA, from RNA to protein. Transcription, translation; the genetic code.
The eukaryotic cell cycle, cell division, mitosis and meiosis and the transmission of chromosomes
Chromosome theory of inheritance
Sex determintion and sex-linked inheritance; Dosage compensation in mammals
Organization of the human genome: Genome projects and sequencing
Genetic variability; mutation and polymorphisms; types of genetic variants; point mutations and their consequences; Structural genomic variation; copy number variation; genotype/phenotype relationship
Genetic analysis of human traits: basic Mendelian pedigree patterns; complications to the basic pedigree patterns; Extensions and modifications of basic mendelian principles
Readings/Bibliography
Recommended Book
-Hartwell/Goldberg/Fischer/Hood. "Genetics: From Genes to Genomes". Sixth Edition, McGraw-Hill EducationTeaching methods
Lectures with powerpoint presentations; problem solving and exercises
Assessment methods
The final assessment verifies the candidate's skill on the topics discussed during the course.
The exam is written, lasts two hours and takes place in a computer room on the EOL platform. It consists of two exercises and a set of multiple-choice questions. The maximum mark for each exercise is fixed in advance and is visible by the student who takes the exam. Marks are given on the basis of the completeness, accuracy and appropriateness of the student's responses. The grading of multiple-choice questions is +0.75 if correct and 0 if wrong or absent. The sum of the marks for exercises and multiple-choice questions is 33. If such a sum results in a grade >=31, the overall final grade will be 30/30 cum laude. The minimum passing grade is 18/30.
Consulting textbooks or notes during the written exam is not allowed. Students are not permitted to use a mobile phone (and smart watch or similar electronic data storage or communication device).
A pocket calculator is necessary.
An identity card (or the UNIBO student card) is required to take part in the exam.
Teaching tools
The slides and the excercises presented during the lessons will be made available to students through the virtuale website
Office hours
See the website of Elena Bacchelli
SDGs

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.