Gene-based bin analysis of genome-wide association studies
author:
Nicolas Omont,
Serono, biotech and beyond
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| Slides | |
| 0:00 | Bin analysis of genome-wide association study |
| 0:34 | Bin analysis of genome-wide study - 1 |
| 0:58 | Transmission and recombination |
| 2:09 | Haplotype blocks (HB) |
| 3:09 | Data – association study |
| 3:11 | Genetic disease - 1 |
| 4:12 | Genetic disease - 2 |
| 4:54 | Association study: example - 1 |
| 6:36 | Association study: cost problem |
| 7:03 | Single nucleotide polymorphism |
| 8:25 | Association study: example - 2 |
| 9:06 | Association study: example - 3 |
| 10:56 | The Serono association study |
| 12:20 | Analysis |
| 12:35 | Method |
| 12:44 | The ideal vision |
| 14:17 | FDR estimation (no control) |
| 17:03 | Multiple testing problem - 1 |
| 17:54 | Multiple testing problem - 2 |
| 19:05 | Bin definition - 1 |
| 20:26 | Bin definition - 2 |
| 21:02 | Bin definition: loss of power example - 1 |
| 21:29 | Bin definition: loss of power example - 2 |
| 21:30 | Statistical test: |
| 22:17 | Estimation |
| 23:02 | Results |
| 23:02 | Results: bins |
| 24:03 | P-value distribution |
| 25:17 | FDR: FDR vs p-value |
| 25:46 | Number of bins selected |
| 26:23 | FDR overestimation |
| 27:09 | Conclusion - 1 |
| 28:05 | Conclusion - 2 |
| 28:42 | - Questions |
| 29:41 | - Questions |
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