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The estimated total population in Lahj in 2014 was 912,709, calculated using population data from the most recent census in 2004 (CSO Yemen 2007) and correcting for population growth.
Now we turn to the issue of correcting for population stratification in genetic association studies.
Recently, Bhattacharya et al. [12] demonstrated the importance of correcting for population structure in this domain.
Based on the corrected data, we can conduct association tests correcting for population stratification.
Yet, it is worth pointing out the potential pitfalls of not correcting for population structure in association analyses [20].
As for correcting for population stratification, the extension of principal component analysis coupled with TDT strategy to extended pedigrees is also straightforward.
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We corrected for population stratification using principal components analysis (PCA), with PCA-based correction of the input data using established methods [ 72, 76].
Replication of this result is desirable since correction for population structure was inadequate: only a single SNP was used to correct for population structure.
When we correct for population size, it becomes clear that this variability points at intrinsic differences among the countries and is not a mere reflection of size.
This information can be used to detect and correct for population stratification and to identify extended chromosomal segments that are shared identical by descent between very distantly related individuals.
The eigenvectors of K are the principal components, used to diagnose and correct for population structure.
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