Large dataset/ Big data

Large dataset/ Big data has the following characteristics:

1. Very large, distributed aggregations of loosely structured data – often incomplete and inaccessible:
2. Petabytes/exabytes of data
3. Millions/billions of people
4. Billions/trillions of records
5. Loosely-structured and often distributed data
6. Flat schemas with few complex interrelationships
7. Often involving time-stamped events
8. Often made up of incomplete data
9. Often including connections between data elements that must be probabilistically inferred,
10. Applications that involved Big-data
11. Transactional
12. Analytic

Shared genetic aetiology of the relationship between cognitive ability and cardiovascular disease risk factors

ASreml was used to evaluate the large dataset from pedigree-based crosssectional study of 1983 Scottish families (6086 individuals)

Linear mixed model and animal model were fitted by ASreml.

Find the original publication

M. Luciano, G. David Batty and others,Intelligence, Volume 38, Issue 3, 2010, Pages 304–313.