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The objective of this paper is to perform GWAS of AD in several study populations and investigate possible roles of detected genetic factors in developing AD hallmarks and in other health disorders.
In particular, Saulxure-Les-Vannes is connected to several study populations.
Support for these assumptions has been found in several study populations (Navas-Acien et al. 2009b; Ryan et al. 2000).
To determine these associations, studies have relied on large populations of well characterized cases and controls often combining several study populations in order to approach statistical significance [ 1].
The Neck Disability Index developed by Vernon and Mior [ 6] has been revalidated in several study populations and has shown stable psychometric properties [ 7- 11].
This study confirms, in a combined data set of over 7000 cases across several study populations, that the association between variants in the MUTYH gene and colorectal cancer risk is valid.
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Populations in the HGDP have different sample sizes and, in some of them, first and/or second degree relatives pairs have been detected [ 53], which could both influence the estimation of the true values of allele and genotypes frequencies that underlie several studied populations.
In particular, many genome-wide association analyses describe several different study populations, sometimes with different study designs and genotyping platforms, and in various stages of discovery and replication [ 129, 130].
Its prognostic value has been validated in several studies and populations (1, 6, 7).
However, several studies on populations in North America have indicated that pregnant women are a highly mobile group.
Misconceptions and lack of basic knowledge about antibiotic use have also been reported by several studies across populations in both developed and developing countries [ 3- 12].
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