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Large consortia projects often face many criticisms [ 19, 20].
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With the rise of novel omics technologies and through large-scale consortia projects, biological systems are being further investigated at an unprecedented scale generating heterogeneous and often large data sets.
The governance structures of these first projects have become the template for the projects and large consortia that follow.
This is now the most common form of governance for projects and large consortia.
Large consortia (e.g. 1000 bull genomes project [ 9, 11] or the human genome project [ 12, 13]) have been established to accumulate available resources, detect new variants in genomes, better understand genetic architecture of different traits and find or narrow down positions of potential causal loci.
Those projects are backed by large consortia and are by design, exhaustive.
Genome sequencing projects were long confined to biomedical model organisms and required the concerted effort of large consortia.
However, there seems to be less incentive for large consortia.
Numerous attempts at determining susceptibility genes through a number of large consortia have indicated that multiple genes, including immune related genes, may be associated with autism.
Working together with large consortia, we investigated the proposed genes C5, SERPING1, and TLR3.
Lastly, we were part of several large consortia studying epidemiological risk factors for osteoporosis [ 81– 81].
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