Goutam Sahana

Seniorforsker

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Goutam Sahana

Seniorforsker

  • Institut for Molekylærbiologi og Genetik - Center for Kvantitativ Genetik og Genomforskning
Postaddresse:
Blichers Allé 20
K23, 3023
8830
Tjele
Danmark

E-mail: goutam.sahana@mbg.au.dk

Telefon: +4587157501

Positions

Oct. 2010- Senior Scientist, Dept. Molecular Biology and Genetics, Aarhus University, Denmark
July, 2003 – Sep. 2010 Project Scientist, Aarhus University, Denmark (formerly DIAS)
August 1996 – June 2003 Scientist at National Bureau of Animal Genetic Resources (ICAR), India

Education & Training

1991: Bachelor of Veterinary Science and Animal Husbandry (B.V.Sc&A.H.), Bidhan Chandra Krishi Vishva Vidyalaya (BCKVV), Mohanpur – 741246, West Bengal, India.
1993: M.Sc (Animal Genetics and Breeding), National Dairy Research Institute (NDRI), Karnal-132 001, Haryana, India.
1996: Ph.D (Animal Genetics and Breeding), National Dairy Research Institute (NDRI), Karnal-132 001, Haryana, India.

Scientific summary

I have worked for seven years in the area of breeding in India and have 13 years for research experience in Denmark. These gave me a good expose to know the animal breeding practices both in developed and developing world. I was involved in several EU projects and significantly contributed in successful research applications, planning and managing projects both as project leader and co-investigator. I have also research experience in gene mapping in pigs and sheep. My research has focused on developing and applying statistical genetic models to estimate population parameters, effects of single genes. Contributions include developing statistical methods to identify major genes, fine-map genomic regions affecting complex traits. I have significantly contributions are developing methods for gene mapping. My significant research success is to identify several recessive lethals in dairy cattle and significant contribution of identifying QTLs for fertility and mastitis. My research interests are as below.
• Genetic architecture for quantitative traits, understanding biology of complex traits
• Method development for genome-wide association studies (GWAS) for complex traits
• Identification of QTL for disease resistance, fertility and production traits in cattle and pigs
• Whole genome sequence variant analysis

Invited presentation at international conference

Use of full genome sequence information in fine mapping of QTL at 65th Annual Meeting of the European Federation of Animal Science (EAAP), Copenhagen, Denmark, 25-29 August 2014

Patent granted

QTLs for mastitis resistance in cattle (WO 2007090399)

Research Funding

Current project.
1. Identification and control of recessive mutations, funded by the Milk Levy Fund Denmark
2. Reduction of methane emission from dairy cows and concurrent improvement of feed efficiency obtained through host genetics and next generation sequencing of rumen microbiome, funded by Strategic Research Council, Denmark.
3. Feed utilization in Nordic cattle, funded by the Milk Levy Fund, Denmark
4. Genomics in herds, funded by VikingGenetics, Nordic Cattle Genetic Evaluation and Aarhus University.

Teaching and Supervision

Teach graduate course on gene mapping (http://kursuskatalog.au.dk/en/course/59555)
General concept and statistical models for gene mapping including linkage map, imputation of genotypes, reconstruction of haplotype phases, identity by descent; basic models and methods for linkage analysis for quantitative traits and population-based association mapping methods; methods to control false discovery in association studies – multiple testing and population structure; gene mapping methods: single-marker regression, Bayesian methods, random haplotype models, affected sib-pair, transmission disequilibrium test and methods that include pedigree information and population structure; meta-analysis in GWAS.

Supervision: Currently 2 PhDs and 2 postdocs

Review for journals

1. Journal of Dairy Science; 2. Journal of Animal Science; 3. Animal Genetics; 4. BMC Genomics; 5. BMC Genetics; 6. PLoS ONE; 7. Animal; 8. Small Ruminant Research; 9. Biotechnology Journal; 10. Genetics Selection Evolution; 11. Journal of Animal Breeding and Genetics; 12. Livestock Science; 13. PLoS Genetics; 14. G3: Genes|genomes|Genetics; 14. Reproduction in Domestic Animals

Reviewer for Research Proposals

The National Science Centre, Poland

Leadership, development and collaboration

• Scientific collaborations with LUKE Finland and SLU Sweden and industry collaboration with VikingGenetics and Nordic Cattle Genetic Evaluation
• Experiences in working in large consortiums in EU funded projects
• Developed MoU with National Dairy Development Board (NDDB) for collaboration in genomic selection between India and Denmark
• Several international students/researchers visit to work with me
• Seven years work experience in area of animal genetic resource conservation in India

Selected publications

Zhang Q, Guldbrandtsen B, Bosse M, Lund MS, Sahana G. 2015. Runs of homozygosity and distribution of functional variants in the cattle genome. BMC Genomics. 16:542.
Höglund JK, Guldbrandtsen B, Lund MS, Sahana G. 2015. Identification of genomic regions associated with female fertility in Danish Jersey using whole genome sequence data. BMC Genet. 16:60.
Sahana G, Guldbrandtsen B, Thomsen B, Holm LE, Panitz F, Brøndum RF, Bendixen C, Lund MS. 2014. Genome-wide association study using high-density single nucleotide polymorphism arrays and whole-genome sequences for clinical mastitis traits in dairy cattle. J Dairy Sci. 97(11):7258-75.
Kadri NK, Sahana G, Charlier C, Iso-Touru T, Guldbrandtsen B, Karim L, Nielsen US, Panitz F, Aamand GP, Schulman N, Georges M, Vilkki J, Lund MS, Druet T. A 660-Kb deletion with antagonistic effects on fertility and milk production segregates at high frequency in Nordic Red cattle: additional evidence for the common occurrence of balancing selection in livestock. PLoS Genet. 10(1):e1004049.
Sahana G; Guldbrandtsen B; Janss Luc; et al. 2010. Comparison of Association Mapping Methods in a Complex Pedigreed Population. Genetic Epidemiology 34(5): 455-462