Ginevra Biino
Ginevra Biino
affiliation: Istituto di Genetica Molecolare-CNR, Pavia
research area(s): Genetics And Genomics
Course: Genetics, Molecular and Cellular Biology
University/Istitution: Università di Pavia
1997: Bachelor of Science in Economics, University of Pavia
2001: Postgraduate Specialization School in Biostatistics, University of Pavia
2004: Doctor of Philosophy in Biostatistics, University of Milan
Work experience
1997-2001: Research scolarships at the Department of Applied Health Sciences, University of Pavia
2001-2010: Researcher at Institute of Population Genetics, CNR of Sassari; c/o Shardna Life Sciences, s.p.a, Cagliari until 2009.
2011: Researcher at Institute of Molecular Genetics, CNR of Pavia
The main research activity is performed within Ogliastra Project, a large population-based epidemiologic survey on complex diseases carried out on about 12,000 subjects living in the Ogliastra region, Sardinia. The research, carried out in collaboration with the Institute of Population Genetics, CNR of Sassari and Shardna Life Sciences ( aims at identifying genetic and environmental factors predisposing to multifactorial common diseases. The originality of this approach is based on the study of genetic isolates, i.e. populations characterized by a limited number of founders, a low demographical growth, high endogamy, a scarce immigration rate and a high genetic and environmental homogeneity. Such populations represent an ideal model from a genetic, demographic and environmental point of view, to identify the genetic causes of multifactorial diseases and associated risk factors.
1. Biino G, Grassi M, Paglione M, Rezzani C. Validazione e Scoring di un Questionario per la Valutazione della Qualit‡ Didattica. Medic 1999;7:118-125.

2. Paglione M, Marinoni GP, Marinoni A, Ö, Biino G, et al. Determinanti dei Costi Diretti dellíImpianto di Pacemaker. Medic 2000;8:115-123.

3. Di Maio A, Mapelli V, Paglione M, Biino G, et al. I costi dei pazienti sottoposti a impianto di pacemaker. Mecosan 2000;9:67-73.

4. Grassi M, Rezzani C, Biino G. Some Aspects of Principal Components Analysis as Measurement Error Model. Statistica 2001;3:545-556.

5. Biino G., Rezzani C., Grassi M., Marinoni A. ECRHS Screening Questionnaire Scoring: a Methodological Suggestion for Asthma-like Symptoms Seriousness Assessment. J Outcome Meas. 2000-2001;4:740-62.

6. Grassi M, Rezzani C, Biino G, et al. Asthma-like symptoms assessment through ECRHS screening questionnaire scoring. J Clin Epidemiol. 2003;56:238-47.

7. Turconi G, Celsa M, Rezzani C, Biino G, et al. Reliability of a dietary questionnaire on food habits, eating behaviour and nutritional knowledge of adolescents. Eur J Clin Nutr. 2003;57:753-763.

8. C. Tinelli, C. Rezzani, G. Biino, A. et al. Evaluation of the efficacy of the italian guidelines on COPD: a cluster randomized trial. Monaldi Arch Chest Dis 2003; 59:199-206.

9. Ombra MN, Casula S, Biino G, et al. Urinary Glycosaminoglycans as Risk Factors for Uric Acid Nephrolithiasis: Case Control Study in a Sardinian Genetic Isolate. Urology 2003;62:416-20.

10. Cena H, Toselli A, Biino G. Is a modest weight loss significant in the improvement of dyslipidemic patients lipid profile. Minerva Gastroenterol Dietol. 2004;50:79-87.

11. Biino G, Palmas MA, Corona C, et al. Ocular refraction: heritability and genome-wide search for eye morphometry traits in an isolated Sardinian population. Human Genetics 2005;116:152-159.

12. Mocci E, Concas MP, Fanciulli M, ..., Biino G, et al. Microsatellites and SNPs linkage analysis in a Sardinian genetic isolate confirms several essential hypertension loci previously identified in different populations. BMC Medical Genetics 2009;10:1-13.

13. Biino G, Casula L, de Terlizzi F, et al. Genetic architecture of hand quantitative ultrasound measures: a population based study in a sardinian genetic isolate. Bone 2010, 46:1197-1203.

14. Portas L, Murgia F, Biino G, et al. History, geography and population structure influence the distribution and heritability of blood and anthropometric quantitative traits in nine Sardinian genetic isolates. Genet Res. 2010;92:199-208.

15. Biino G, Balduini CL, Casula L, et al. Analysis of 12517 inhabitants of a Sardinian geographic isolate reveals that propensity to develop mild thrombocytopenia during ageing and to present mild, transient thrombocytosis in youth are new genetic traits. Haematologica 2011;96:96-101.

16. Girotto G, Pirastu N, Sorice R, Biino G, et al. Hearing function and thresholds: a genome-wide association study in European isolated populations identifies new loci and pathways. J Med Genet. 2011;48:369-74.

17. Biino G, Casula L, de Terlizzi F, et al. Epidemiology of osteoporosis in an isolated sardinian population using quantitative ultrasound. American Journal of Epidemiology 2011;174:432-9.

18. Cabras S, Castellanos ME, Biino G, et al.A strategy analysis for genetic association studies with known inbreeding. BMC Genet. 2011;12:63.

19. Traglia M, Girelli D, Biino G, et al. Association of HFE and TMPRSS6 genetic variants with iron and erythrocyte parameters is only in part dependent on serum hepcidin concentrations. J Med Genet. 2011;48:629-34.

20. Gieger C, Radhakrishnan A, Cvejic A, Ö, Biino G, et al. New gene functions in megakaryopoiesis and platelet formation. Nature. 2011;480(7376):201-8.
21. Biino G, Gasparini P, D'Adamo P, Ciullo M, Nutile T, Toniolo D, Sala C, Minelli C, Gˆgele M, Balduini CL. Influence of age, sex and ethnicity on platelet count in five Italian geographic isolates: mild thrombocytopenia may be physiological. Br J Haematol. 2012 May;157(3):384-7.

22. Biino G, Portas L, Murgia F, et al. A population-based study of an Italian genetic isolate reveals that mean platelet volume is not a risk factor for thrombosis. Thromb Res. 2012;129(4):e8-13. Epub 2011 Dec 2.

23. Pecci A, Biino G, Fierro T, et al. Alteration of Liver Enzymes Is a Feature of the Myh9-Related Disease Syndrome. PLoS One. 2012;7(4):e35986. Epub 2012 Apr 25.
Project Title:
Genetic architecture of quantitative traits related to complex diseases
Aim of the project is to investigate the genetic and environmental components of traits related to multifactorial diseases using statistical analysis. Students will learn basics of epidemiology and statistics and to use common statistical software.