Maximising knowledge from dense SNP (single nucleotide polymorphisms) data using multi-locus analysis

Start date

2007

End date

2011

Research partner(s)

University of Queensland

Maximising knowledge from dense SNP (single nucleotide polymorphisms) data using multi-locus analysis. The genomics revolution has made it possible to measure thousands of DNA variants in individuals. This information can be used in many ways, including to find genes that cause variation between individuals in a population and to estimate the size of the population in the past. Our study will lead an analysis method that will extract more information out of such data. This will improve the efficiency of gene mapping methods, including applications in humans for traits related to productive ageing and a healthy start to life, will allow the estimation of genetic relatedness and genetic variation in natural populations, and will lead to more efficient selection programs in agricultural populations.

Output(s)

Whole-Genome Genetic Diversity in a Sample of Australians with Deep Aboriginal Ancestry

Type

Journal article

Authors

Brian P. McEvoy, Joanne M. Lind, Eric T. Wang, Robert K. Moyzis, Peter M. Visscher, Sheila M. van Holst Pellekaan, Alan N. Wilton

Publisher

The American Journal of Human Genetics

Publication date

Not listed.

Rights notice

File

1-s2.0-S0002929710003642-main.pdf

Link

https://www.sciencedirect.com/science/article/pii/S0002929710003642

Project information

Project ownerNot listed

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Community / Language group(s)

Project contact(s)

Brian P.McEvoy

brian.mcevoy@qimr.edu.au

Researcher(s)

Peter Visscher
Professor Michael Goddard

Supporting partner(s)

Complete

Yes

Start date

2007

End date2011

Topic(s)

Closing the Gap focus

Funder(s)

Organisation(s)

Indigenous involvement

Indigenous involvement notes

The participants in this study are from the main language groups of Barkindji (Paakintji) and Ngiyambaa and from several associated language groups now living in the communities of Wilcannia, Menindee, and Daretonin the Darling River region of western New South Wales, Australia. Their friendship and participation over many years is greatly appreciated. We thank Nick Martin for his role in facilitating and initiating this study and the staff at the Ramaciotti Centre for Gene Function Analysis, University of New South Wales, Sydney, who carried out the genotyping.

Maximising knowledge from dense SNP (single nucleotide polymorphisms) data using multi-locus analysis

Output(s)

Aboriginal and Torres Strait Islander people should be aware that this website may contain images, voices and names of deceased persons.

AIATSIS acknowledges all Aboriginal and Torres Strait Islander Traditional Custodians of Country and recognises their continuing connection to land, sea, culture and community. We pay our respects to Elders past and present.