Ginevra Biino
e-mail: biino AT igm.cnr.it
affiliation: Istituto di Genetica Molecolare-CNR, Pavia
research area(s): Genetics And Genomics
Course:
Genetics, Molecular and Cellular Biology
University/Istitution: Università di Pavia
University/Istitution: Università di Pavia
Education
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
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 (www.shardna.com) 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. Hellas Cena, Fatima Cody Stanford, et al. Association of a history of childhood-onset obesity and dieting with eating disorders. Eating Disorders. 2017. DOI:10.1080/10640266.2017.1279905
2. Joshi PK, Pirastu N, Kentistou KA, et al. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity. Nat Commun. 2017 Oct 13;8(1):910. doi: 10.1038/s41467-017-00934-5.
3. Calcaterra V, De Giuseppe R, Biino G, et al. Relation between circulating oxidized-LDL and metabolic syndrome in children with obesity: the role of hypertriglyceridemic waist phenotype. J Pediatr Endocrinol Metab. 2017 Nov 11. pii: /j/jpem.ahead-of-print/jpem-2017-0239/jpem-2017-0239.xml. doi: 10.1515/jpem-2017-0239.
4. Shah RL, Li Q, Zhao W, et al. A genome-wide association study of corneal astigmatism: The CREAM Consortium. Mol Vis. 2018 Feb 5;24:127-142. eCollection 2018.
5. Vuckovic D, Mezzavilla M, Cocca M, Morgan A, Brumat M, Catamo E, Concas MP, Biino G, FranzË A, Ambrosetti U, Pirastu M, Gasparini P, Girotto G. Whole-genome sequencing reveals new insights into age-related hearing loss: cumulative effects, pleiotropy and the role of selection. Eur J Hum Genet. 2018 Apr 30. doi: 10.1038/s41431-018-0126-2.
6. Simona Pozza, Armanda De Marchi, Chiara Albertin, Domenico Albano, Ginevra Biino, Domenico Aloj, Luca Maria Sconfenza. Technical and clinical feasibility of contrast-enhanced ultrasound evaluation of long bone non-infected nonunion healing. La radiologia medica 2018. https://doi.org/10.1007/s11547-018-0902-7.
7. Tedja MS, Wojciechowski R, Hysi PG, et al. Genome-wide association meta-analysis highlights light-induced signaling as a driver for refractive error. Nat Genet. 2018 Jun;50(6):834-848. doi: 10.1038/s41588-018-0127-7.
8. Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nat Genet. 2018 Jul 23. doi: 10.1038/s41588-018-0147-3.
9. De Giuseppe R, Braschi V, Bosoni D, Biino ,Stanford CF, Nappi RE, Cena H. Dietary underreporting in women affected by polycystic ovary syndrome: A pilot study. Nutrition&Dietetics 2018. https://doi.org/10.1111/1747-0080.12460 (first published 5 August 2018).
10. Toth AT, Gomez G, Shukla AP, Pratt JS, Cena H, Biino G, Aronne LJ, Stanford FC. Weight Loss Medications in Young Adults after Bariatric Surgery for Weight Regain or Inadequate Weight Loss: A Multi-Center Study. Children (Basel). 2018 Aug 29;5(9). pii: E116. doi: 10.3390/children5090116.
11. Fatima Cody Stanford, Alexander T. Toth, Alpana P. Shukla, Janey S. Pratt, Hellas Cena, Ginevra Biino, and Louis J. Aronne. Weight Loss Medications in Older Adults After Bariatric Surgery for Weight Regain or Inadequate Weight Loss: A Multicenter Study. Bariatric Surgical Practice and Patient Care. 2018. Published Online: 6 Oct 2018 https://doi.org/10.1089/bari.2018.0037
12. Ligthart S, Vaez A, Vısa U, et al. Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. Am J Hum Genet. 2018 Nov 1;103(5):691-706. doi: 10.1016/j.ajhg.2018.09.009.
13. De Giuseppe R, Calcaterra V, Biino G, Manuelli M, Mier NR, Mantelli M, De Filippo M, Cossellu G, Cena H. Unhealthy lifestyle and oxidative damage in childhood obesity. Eat Weight Disord. 2018 Dec 15. doi: 10.1007/s40519-018-0626-7.
14. Karlsson LinnÈr R, Biroli P, Kong E, et al. Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences. Nat Genet. 2019 Feb;51(2):245-257. doi: 10.1038/s41588-018-0309-3.
15. Manuelli M, Blundell JE, Biino G, Cena H. Body composition and resting energy expenditure in women with anorexia nervosa: Is hyperactivity a protecting factor? Clin Nutr ESPEN. 2019 Feb;29:160-164. doi: 10.1016/j.clnesp.2018.10.015.
16. Wuttke M, Li Y, Li M, et al. A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nat Genet. 2019 Jun;51(6):957-972. doi: 10.1038/s41588-019-0407-x.
17. Graziano F, Biino G, Bonati MT,et al. Estimation of metabolic syndrome heritability in three large populations including full pedigree and genomic information. Hum Genet. 2019 Jun 1. doi: 10.1007/s00439-019-02024-6.
18. Noordam R, Young WJ, Salman R, et al. Effects of Calcium, Magnesium, and Potassium Concentrations on Ventricular Repolarization in Unselected Individuals. J Am Coll Cardiol. 2019 Jun 25;73(24):3118-3131. doi: 10.1016/j.jacc.2019.03.519. PMID: 31221261
19. Tin A, Marten J, Halperin Kuhns VL, et al. Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels. Nat Genet. 2019 Oct 2. doi: 10.1038/s41588-019-0504-x.PMID: 31578528
2. Joshi PK, Pirastu N, Kentistou KA, et al. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity. Nat Commun. 2017 Oct 13;8(1):910. doi: 10.1038/s41467-017-00934-5.
3. Calcaterra V, De Giuseppe R, Biino G, et al. Relation between circulating oxidized-LDL and metabolic syndrome in children with obesity: the role of hypertriglyceridemic waist phenotype. J Pediatr Endocrinol Metab. 2017 Nov 11. pii: /j/jpem.ahead-of-print/jpem-2017-0239/jpem-2017-0239.xml. doi: 10.1515/jpem-2017-0239.
4. Shah RL, Li Q, Zhao W, et al. A genome-wide association study of corneal astigmatism: The CREAM Consortium. Mol Vis. 2018 Feb 5;24:127-142. eCollection 2018.
5. Vuckovic D, Mezzavilla M, Cocca M, Morgan A, Brumat M, Catamo E, Concas MP, Biino G, FranzË A, Ambrosetti U, Pirastu M, Gasparini P, Girotto G. Whole-genome sequencing reveals new insights into age-related hearing loss: cumulative effects, pleiotropy and the role of selection. Eur J Hum Genet. 2018 Apr 30. doi: 10.1038/s41431-018-0126-2.
6. Simona Pozza, Armanda De Marchi, Chiara Albertin, Domenico Albano, Ginevra Biino, Domenico Aloj, Luca Maria Sconfenza. Technical and clinical feasibility of contrast-enhanced ultrasound evaluation of long bone non-infected nonunion healing. La radiologia medica 2018. https://doi.org/10.1007/s11547-018-0902-7.
7. Tedja MS, Wojciechowski R, Hysi PG, et al. Genome-wide association meta-analysis highlights light-induced signaling as a driver for refractive error. Nat Genet. 2018 Jun;50(6):834-848. doi: 10.1038/s41588-018-0127-7.
8. Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nat Genet. 2018 Jul 23. doi: 10.1038/s41588-018-0147-3.
9. De Giuseppe R, Braschi V, Bosoni D, Biino ,Stanford CF, Nappi RE, Cena H. Dietary underreporting in women affected by polycystic ovary syndrome: A pilot study. Nutrition&Dietetics 2018. https://doi.org/10.1111/1747-0080.12460 (first published 5 August 2018).
10. Toth AT, Gomez G, Shukla AP, Pratt JS, Cena H, Biino G, Aronne LJ, Stanford FC. Weight Loss Medications in Young Adults after Bariatric Surgery for Weight Regain or Inadequate Weight Loss: A Multi-Center Study. Children (Basel). 2018 Aug 29;5(9). pii: E116. doi: 10.3390/children5090116.
11. Fatima Cody Stanford, Alexander T. Toth, Alpana P. Shukla, Janey S. Pratt, Hellas Cena, Ginevra Biino, and Louis J. Aronne. Weight Loss Medications in Older Adults After Bariatric Surgery for Weight Regain or Inadequate Weight Loss: A Multicenter Study. Bariatric Surgical Practice and Patient Care. 2018. Published Online: 6 Oct 2018 https://doi.org/10.1089/bari.2018.0037
12. Ligthart S, Vaez A, Vısa U, et al. Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. Am J Hum Genet. 2018 Nov 1;103(5):691-706. doi: 10.1016/j.ajhg.2018.09.009.
13. De Giuseppe R, Calcaterra V, Biino G, Manuelli M, Mier NR, Mantelli M, De Filippo M, Cossellu G, Cena H. Unhealthy lifestyle and oxidative damage in childhood obesity. Eat Weight Disord. 2018 Dec 15. doi: 10.1007/s40519-018-0626-7.
14. Karlsson LinnÈr R, Biroli P, Kong E, et al. Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences. Nat Genet. 2019 Feb;51(2):245-257. doi: 10.1038/s41588-018-0309-3.
15. Manuelli M, Blundell JE, Biino G, Cena H. Body composition and resting energy expenditure in women with anorexia nervosa: Is hyperactivity a protecting factor? Clin Nutr ESPEN. 2019 Feb;29:160-164. doi: 10.1016/j.clnesp.2018.10.015.
16. Wuttke M, Li Y, Li M, et al. A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nat Genet. 2019 Jun;51(6):957-972. doi: 10.1038/s41588-019-0407-x.
17. Graziano F, Biino G, Bonati MT,et al. Estimation of metabolic syndrome heritability in three large populations including full pedigree and genomic information. Hum Genet. 2019 Jun 1. doi: 10.1007/s00439-019-02024-6.
18. Noordam R, Young WJ, Salman R, et al. Effects of Calcium, Magnesium, and Potassium Concentrations on Ventricular Repolarization in Unselected Individuals. J Am Coll Cardiol. 2019 Jun 25;73(24):3118-3131. doi: 10.1016/j.jacc.2019.03.519. PMID: 31221261
19. Tin A, Marten J, Halperin Kuhns VL, et al. Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels. Nat Genet. 2019 Oct 2. doi: 10.1038/s41588-019-0504-x.PMID: 31578528
No projects are available to students for the current accademic year.