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This association remained significant after corrections for population stratification and number of comparisons.
Thus, the false positive rate is often unacceptably high in associative genetics studies unless explicit corrections for population structure are built into the statistical models [e.g. 9], [10].
These significant associations indicated that corrections for population structure were required for the GWAS.
The signal is retained after different corrections for population structure in the PHS test and the GLM and is further supported by the presence of the QTL.
All of these approaches, including the use of AIL, HS and strain panels, require statistical corrections for population structure that can affect the power of mapping analysis (Kang et al. 2008; Cheng et al. 2011).
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GC uses the genome itself to determine appropriate corrections for population-based association tests.
More sophisticated forms of correction for population stratification do exist for example, correcting with principal component analysis.
Replication of this result is desirable since correction for population structure was inadequate: only a single SNP was used to correct for population structure.
We also use simulated data to show our novel matching approach can provide a more appropriate correction for population stratification than existing matching approaches.
Therefore, no correction for population stratification was carried out.
Correction for population structure did not diminish this extremely significant result.
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