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, 11:58, 6 July 2016
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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) |
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| == Key References == | | == Key References == |