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**# If reasonable predictive power/R^2, use the prediction model to estimate the non-reference concordance amongst the 651 samples that do not have chip data. Also use the prediction model to estimate the non-reference concordance among the 3,188 samples that do have chip data.
**# If reasonable predictive power/R^2, use the prediction model to estimate the non-reference concordance amongst the 651 samples that do not have chip data. Also use the prediction model to estimate the non-reference concordance among the 3,188 samples that do have chip data.
**# Set a cut-off for 'good' versus 'bad' samples based on the estimated non-reference concordance and use it to filter samples.
**# Set a cut-off for 'good' versus 'bad' samples based on the estimated non-reference concordance and use it to filter samples.
* '''Mitochondrial Depth Analysis'''
* '''Telomere Length Analysis'''
** Investigate the associations between telomere length (an indicator of aging) and variants. Likely interesting in Sardinia population because Sardinians have longer lifespans & centenarians.
* '''Phenotype Study'''
** Likely will not yield much because not many additional samples since Carlo's last data freeze (3,514 samples there)
== Key References ==
== Key References ==
