a8808bf395b48d89a7de2fa58ff6dc2a8b14fa2a
BL_genes.md
| ... | ... | @@ -1,7 +1,48 @@ |
| 1 | 1 | # BL genes |
| 2 | 2 | |
| 3 | -## Origins of BL genes |
|
| 4 | - |
|
| 3 | +## Origins of BL genes |
|
| 4 | +```mermaid |
|
| 5 | +--- |
|
| 6 | +config: |
|
| 7 | + sankey: |
|
| 8 | + showValues: false |
|
| 9 | + linkColor: target |
|
| 10 | + width: 800 |
|
| 11 | + height: 1000 |
|
| 12 | + nodeAlignment: right |
|
| 13 | +--- |
|
| 14 | +sankey-beta |
|
| 15 | +Grande 2019, BL Tier 1, 9 |
|
| 16 | +Grande 2019, BL Tier 2, 4 |
|
| 17 | +Richter 2012, BL Tier 1, 5 |
|
| 18 | +Burkhardt 2022, BL Tier 2, 25 |
|
| 19 | +Schmitz 2012, BL Tier 1, 3 |
|
| 20 | +Schmitz 2012, BL Tier 2, 16 |
|
| 21 | +Love 2012, BL Tier 1, 3 |
|
| 22 | +Love 2012, BL Tier 2, 56 |
|
| 23 | +Muppidi 2014, BL Tier 1, 1 |
|
| 24 | +Muppidi 2014, BL Tier 2, 2 |
|
| 25 | +Panea 2019, BL Tier 1, 4 |
|
| 26 | +Panea 2019, BL Tier 2, 46 |
|
| 27 | +Thomas 2023, BL Tier 1, 2 |
|
| 28 | +Thomas 2023, BL Tier 2, 3 |
|
| 29 | +BL, panel, 25 |
|
| 30 | +panel, Burkhardt 2022, 25 |
|
| 31 | +BL, WGS, 13 |
|
| 32 | +WGS, Grande 2019, 13 |
|
| 33 | +BL, RNA-seq/WGS/exome, 5 |
|
| 34 | +RNA-seq/WGS/exome, Richter 2012, 5 |
|
| 35 | +BL, exome, 59 |
|
| 36 | +exome, Love 2012, 59 |
|
| 37 | +BL, RNA-seq, 19 |
|
| 38 | +RNA-seq, Schmitz 2012, 19 |
|
| 39 | +BL, Sanger, 3 |
|
| 40 | +Sanger, Muppidi 2014, 3 |
|
| 41 | +BL, RNA-seq/exome, 50 |
|
| 42 | +RNA-seq/exome, Panea 2019, 50 |
|
| 43 | +BL, WGS, 5 |
|
| 44 | +WGS, Thomas 2023, 5 |
|
| 45 | +``` |
|
| 5 | 46 | ## Tier 1 BL genes |
| 6 | 47 | |
| 7 | 48 | ### *29 total* |
FL_genes.md
| ... | ... | @@ -1,6 +1,41 @@ |
| 1 | 1 | # FL genes |
| 2 | 2 | |
| 3 | -## Origins of FL genes |
|
| 3 | +## Origins of FL genes |
|
| 4 | + |
|
| 5 | +```mermaid |
|
| 6 | +--- |
|
| 7 | +config: |
|
| 8 | + sankey: |
|
| 9 | + showValues: false |
|
| 10 | + linkColor: target |
|
| 11 | + width: 800 |
|
| 12 | + height: 1000 |
|
| 13 | + nodeAlignment: right |
|
| 14 | +--- |
|
| 15 | +sankey-beta |
|
| 16 | +Okosun 2016, FL Tier 1, 2 |
|
| 17 | +Russler-germain 2023, FL Tier 1, 1 |
|
| 18 | +Russler-germain 2023, FL Tier 2, 19 |
|
| 19 | +Krysiak 2017, FL Tier 1, 17 |
|
| 20 | +Krysiak 2017, FL Tier 2, 5 |
|
| 21 | +Morin 2011, FL Tier 1, 14 |
|
| 22 | +Morin 2011, FL Tier 2, 1 |
|
| 23 | +Pasqualucci 2011, FL Tier 1, 2 |
|
| 24 | +Hubschmann 2021, FL Tier 1, 2 |
|
| 25 | +Hubschmann 2021, FL Tier 2, 15 |
|
| 26 | +FL, WGS, 2 |
|
| 27 | +WGS, Okosun 2016, 2 |
|
| 28 | +FL, exome, 20 |
|
| 29 | +exome, Russler-germain 2023, 20 |
|
| 30 | +FL, exome, 2 |
|
| 31 | +exome, Pasqualucci 2011, 2 |
|
| 32 | +FL, WGS, 17 |
|
| 33 | +WGS, Hubschmann 2021, 17 |
|
| 34 | +FL, exome, 22 |
|
| 35 | +exome, Krysiak 2017, 22 |
|
| 36 | +FL, RNA-seq/WGS, 15 |
|
| 37 | +RNA-seq/WGS, Morin 2011, 15 |
|
| 38 | +``` |
|
| 4 | 39 | |
| 5 | 40 | ## Tier 1 FL genes |
| 6 | 41 |
Home.md
| ... | ... | @@ -24,134 +24,132 @@ config: |
| 24 | 24 | nodeAlignment: right |
| 25 | 25 | --- |
| 26 | 26 | sankey-beta |
| 27 | - |
|
| 28 | -Sanger, 2001, 4 |
|
| 29 | -2001, Pasqualucci 2001, 4 |
|
| 30 | -Pasqualucci 2001, DLBCL Tier 1, 3 |
|
| 31 | -Pasqualucci 2001, DLBCL Tier 2, 1 |
|
| 32 | - |
|
| 33 | -RNA-seq/WGS, 2011, 49 |
|
| 34 | -2011, Morin 2011, 25 |
|
| 35 | -Morin 2011, DLBCL Tier 1, 25 |
|
| 36 | -2011, Morin 2011, 15 |
|
| 37 | -Morin 2011, FL Tier 1, 14 |
|
| 38 | -Morin 2011, FL Tier 2, 1 |
|
| 39 | -2011, Pasqualucci 2011a, 7 |
|
| 40 | -Pasqualucci 2011a, DLBCL Tier 1, 5 |
|
| 41 | -Pasqualucci 2011a, DLBCL Tier 2, 2 |
|
| 42 | -2011, Pasqualucci 2011b, 2 |
|
| 43 | -Pasqualucci 2011b, FL Tier 1, 2 |
|
| 44 | -Pasqualucci 2011b, DLBCL Tier 1, 2 |
|
| 45 | - |
|
| 46 | -exome, 2012 exome studies, 68 |
|
| 47 | -2012 exome studies, Richter 2012, 5 |
|
| 48 | -2012 exome studies, Lohr 2012, 4 |
|
| 49 | -2012 exome studies, Love 2012, 59 |
|
| 50 | - |
|
| 51 | -Richter 2012, BL Tier 1, 5 |
|
| 27 | +Albuquerque 2017, DLBCL Tier 1, 3 |
|
| 52 | 28 | Lohr 2012, DLBCL Tier 1, 3 |
| 53 | 29 | Lohr 2012, DLBCL Tier 2, 1 |
| 54 | -Love 2012, BL Tier 1, 3 |
|
| 55 | -Love 2012, BL Tier 2, 56 |
|
| 56 | - |
|
| 57 | -RNA-seq, 2012 , 19 |
|
| 58 | -2012 , Schmitz 2012, 19 |
|
| 59 | -Schmitz 2012, BL Tier 1, 3 |
|
| 60 | -Schmitz 2012, BL Tier 2, 16 |
|
| 61 | - |
|
| 62 | -WGS, 2013 WGS studies, 40 |
|
| 63 | -2013 WGS studies, Morin 2013, 40 |
|
| 30 | +Pasqualucci 2001, DLBCL Tier 1, 2 |
|
| 31 | +Pasqualucci 2001, DLBCL Tier 2, 2 |
|
| 32 | +Mareschal 2016, DLBCL Tier 1, 2 |
|
| 33 | +Arthur 2018, DLBCL Tier 1, 8 |
|
| 34 | +Arthur 2018, DLBCL Tier 2, 12 |
|
| 35 | +Morin 2016, DLBCL Tier 1, 2 |
|
| 64 | 36 | Morin 2013, DLBCL Tier 1, 11 |
| 65 | 37 | Morin 2013, DLBCL Tier 2, 29 |
| 66 | - |
|
| 67 | - |
|
| 68 | -exome, 2013 exome studies, 19 |
|
| 69 | -2013 exome studies, Zhang 2013, 19 |
|
| 38 | +Pasqualucci 2011, DLBCL Tier 1, 2 |
|
| 39 | +Hubschmann 2021, DLBCL Tier 1, 3 |
|
| 40 | +Hubschmann 2021, DLBCL Tier 2, 20 |
|
| 41 | +Chapuy 2018, DLBCL Tier 1, 2 |
|
| 42 | +Chapuy 2018, DLBCL Tier 2, 17 |
|
| 43 | +Pasqualucci 2011, DLBCL Tier 1, 3 |
|
| 44 | +Pasqualucci 2011, DLBCL Tier 2, 4 |
|
| 45 | +Reddy 2017, DLBCL Tier 1, 7 |
|
| 46 | +Reddy 2017, DLBCL Tier 2, 53 |
|
| 70 | 47 | Zhang 2013, DLBCL Tier 1, 11 |
| 71 | 48 | Zhang 2013, DLBCL Tier 2, 8 |
| 72 | - |
|
| 73 | -exome, 2014 exome studies, 3 |
|
| 74 | -2014 exome studies, Muppidi 2014, 3 |
|
| 75 | -Muppidi 2014, BL Tier 1, 1 |
|
| 76 | -Muppidi 2014, BL Tier 2, 2 |
|
| 77 | - |
|
| 78 | -exome, 2016 exome studies, 2 |
|
| 79 | -2016 exome studies, Mareschal 2016, 2 |
|
| 80 | -Mareschal 2016, DLBCL Tier 1, 2 |
|
| 81 | - |
|
| 82 | -WGS, 2016 WGS studies, 2 |
|
| 83 | -2016 WGS studies, Okosun 2016, 2 |
|
| 84 | -Okosun 2016, FL Tier 1, 2 |
|
| 85 | - |
|
| 86 | -exome, 2016 exome studies, 2 |
|
| 87 | -2016 exome studies, Morin 2016, 2 |
|
| 88 | -Morin 2016, DLBCL Tier 1, 2 |
|
| 89 | - |
|
| 90 | -exome, 2017 exome studies, 85 |
|
| 91 | -2017 exome studies, Krysiak 2017, 22 |
|
| 49 | +Schmitz 2018, DLBCL Tier 1, 7 |
|
| 50 | +Schmitz 2018, DLBCL Tier 2, 9 |
|
| 51 | +Morin 2011, DLBCL Tier 1, 24 |
|
| 52 | +Morin 2011, DLBCL Tier 2, 1 |
|
| 53 | +DLBCL, DLBCL-exome, 7 |
|
| 54 | +DLBCL-exome, Pasqualucci 2011, 7 |
|
| 55 | +DLBCL, DLBCL-exome, 19 |
|
| 56 | +DLBCL-exome, Chapuy 2018, 19 |
|
| 57 | +DLBCL, DLBCL-WGS, 23 |
|
| 58 | +DLBCL-WGS, Hubschmann 2021, 23 |
|
| 59 | +DLBCL, DLBCL-WGS/exome, 2 |
|
| 60 | +DLBCL, DLBCL-exome, 2 |
|
| 61 | +DLBCL-exome, Pasqualucci 2011, 2 |
|
| 62 | +DLBCL, DLBCL-RNA-seq/WGS, 25 |
|
| 63 | +DLBCL-RNA-seq/WGS, Morin 2011, 25 |
|
| 64 | +DLBCL, DLBCL-exome, 19 |
|
| 65 | +DLBCL-exome, Zhang 2013, 19 |
|
| 66 | +DLBCL, DLBCL-exome, 16 |
|
| 67 | +DLBCL-exome, Schmitz 2018, 16 |
|
| 68 | +DLBCL, DLBCL-exome, 60 |
|
| 69 | +DLBCL-exome, Reddy 2017, 60 |
|
| 70 | +DLBCL, DLBCL-exome, 4 |
|
| 71 | +DLBCL-exome, Lohr 2012, 4 |
|
| 72 | +DLBCL, DLBCL-exome, 3 |
|
| 73 | +DLBCL-exome, Albuquerque 2017, 3 |
|
| 74 | +DLBCL, DLBCL-exome, 2 |
|
| 75 | +DLBCL-exome, Morin 2016, 2 |
|
| 76 | +DLBCL, DLBCL-WGS, 40 |
|
| 77 | +DLBCL-WGS, Morin 2013, 40 |
|
| 78 | +DLBCL, DLBCL-exome, 2 |
|
| 79 | +DLBCL-exome, Mareschal 2016, 2 |
|
| 80 | +DLBCL, DLBCL-WGS, 20 |
|
| 81 | +DLBCL-WGS, Arthur 2018, 20 |
|
| 82 | +DLBCL, DLBCL-Sanger, 4 |
|
| 83 | +DLBCL-Sanger, Pasqualucci 2001, 4 |
|
| 84 | +Pasqualucci 2011, FL Tier 1, 2 |
|
| 85 | +Hubschmann 2021, FL Tier 1, 2 |
|
| 86 | +Hubschmann 2021, FL Tier 2, 15 |
|
| 92 | 87 | Krysiak 2017, FL Tier 1, 17 |
| 93 | 88 | Krysiak 2017, FL Tier 2, 5 |
| 94 | - |
|
| 95 | - |
|
| 96 | -2017 exome studies, Albuquerque 2017, 3 |
|
| 97 | -Albuquerque 2017, DLBCL Tier 1, 3 |
|
| 98 | - |
|
| 99 | -2017 exome studies, Reddy 2017, 60 |
|
| 100 | -Reddy 2017, DLBCL Tier 2, 50 |
|
| 101 | -Reddy 2017, DLBCL Tier 1, 10 |
|
| 102 | - |
|
| 103 | -exome, 2018 exome studies, 35 |
|
| 104 | -2018 exome studies, Schmitz 2018, 16 |
|
| 105 | -Schmitz 2018, DLBCL Tier 2, 7 |
|
| 106 | -Schmitz 2018, DLBCL Tier 1, 9 |
|
| 107 | - |
|
| 108 | -2018 exome studies, Chapuy 2018, 19 |
|
| 109 | -Chapuy 2018, DLBCL Tier 2, 16 |
|
| 110 | -Chapuy 2018, DLBCL Tier 1, 3 |
|
| 111 | - |
|
| 112 | -WGS, 2018 WGS studies, 20 |
|
| 113 | -2018 WGS studies, Arthur 2018, 20 |
|
| 114 | -Arthur 2018, DLBCL Tier 2, 12 |
|
| 115 | -Arthur 2018, DLBCL Tier 1, 8 |
|
| 116 | - |
|
| 117 | -RNA-seq/exome,2019 ,47 |
|
| 118 | -2019 , Panea 2019, 47 |
|
| 119 | -Panea 2019, BL Tier 2, 43 |
|
| 89 | +Morin 2011, FL Tier 1, 14 |
|
| 90 | +Morin 2011, FL Tier 2, 1 |
|
| 91 | +Okosun 2016, FL Tier 1, 2 |
|
| 92 | +Russler-germain 2023, FL Tier 1, 1 |
|
| 93 | +Russler-germain 2023, FL Tier 2, 19 |
|
| 94 | +FL, FL-WGS, 17 |
|
| 95 | +FL-WGS, Hubschmann 2021, 17 |
|
| 96 | +FL, FL-exome, 2 |
|
| 97 | +FL-exome, Pasqualucci 2011, 2 |
|
| 98 | +FL, FL-RNA-seq/WGS, 15 |
|
| 99 | +FL-RNA-seq/WGS, Morin 2011, 15 |
|
| 100 | +FL, FL-exome, 22 |
|
| 101 | +FL-exome, Krysiak 2017, 22 |
|
| 102 | +FL, FL-exome, 20 |
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| 103 | +FL-exome, Russler-germain 2023, 20 |
|
| 104 | +FL, FL-WGS, 2 |
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| 105 | +FL-WGS, Okosun 2016, 2 |
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| 106 | +Muppidi 2014, BL Tier 1, 1 |
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| 107 | +Muppidi 2014, BL Tier 2, 2 |
|
| 120 | 108 | Panea 2019, BL Tier 1, 4 |
| 121 | - |
|
| 122 | -WGS,2019 WGS studies,13 |
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| 123 | -2019 WGS studies, Grande 2019, 13 |
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| 124 | -Grande 2019, BL Tier 1, 8 |
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| 125 | -Grande 2019, BL Tier 2, 5 |
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| 126 | - |
|
| 127 | -exome, 2020 exome studies, 2 |
|
| 128 | -2020 exome studies, Pararajalingam 2020, 2 |
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| 129 | -Pararajalingam 2020, DLBCL Tier 1, 2 |
|
| 130 | - |
|
| 131 | -WGS, 2021 WGS studies, 40 |
|
| 132 | -2021 WGS studies, Hubschmann 2021, 17 |
|
| 133 | -2021 WGS studies, Hubschmann 2021, 23 |
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| 134 | -Hubschmann 2021, FL Tier 2, 15 |
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| 135 | -Hubschmann 2021, FL Tier 1, 2 |
|
| 136 | -Hubschmann 2021, DLBCL Tier 1, 4 |
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| 137 | -Hubschmann 2021, DLBCL Tier 2, 19 |
|
| 138 | - |
|
| 139 | -exome, 2023 exome studies, 20 |
|
| 140 | -2023 exome studies, Russler-Germain 2023, 20 |
|
| 141 | -Russler-Germain 2023, FL Tier 1, 1 |
|
| 142 | -Russler-Germain 2023, FL Tier 2, 19 |
|
| 143 | - |
|
| 144 | -Panel, panel studies, 25 |
|
| 145 | -panel studies, Burkhardt 2022, 25 |
|
| 146 | -Burkhardt 2022, BL Tier 2, 25 |
|
| 147 | - |
|
| 148 | -WGS, 2023 WGS studies, 3 |
|
| 149 | -2023 WGS studies, Thomas 2023, 3 |
|
| 150 | -Thomas 2023, BL Tier 2, 1 |
|
| 109 | +Panea 2019, BL Tier 2, 46 |
|
| 151 | 110 | Thomas 2023, BL Tier 1, 2 |
| 152 | - |
|
| 111 | +Thomas 2023, BL Tier 2, 3 |
|
| 112 | +Grande 2019, BL Tier 1, 9 |
|
| 113 | +Grande 2019, BL Tier 2, 4 |
|
| 114 | +Richter 2012, BL Tier 1, 5 |
|
| 115 | +Burkhardt 2022, BL Tier 2, 25 |
|
| 116 | +Schmitz 2012, BL Tier 1, 3 |
|
| 117 | +Schmitz 2012, BL Tier 2, 16 |
|
| 118 | +Love 2012, BL Tier 1, 3 |
|
| 119 | +Love 2012, BL Tier 2, 56 |
|
| 120 | +BL, BL-RNA-seq/exome, 50 |
|
| 121 | +BL-RNA-seq/exome, Panea 2019, 50 |
|
| 122 | +BL, BL-Sanger, 3 |
|
| 123 | +BL-Sanger, Muppidi 2014, 3 |
|
| 124 | +BL, BL-WGS, 5 |
|
| 125 | +BL-WGS, Thomas 2023, 5 |
|
| 126 | +BL, BL-panel, 25 |
|
| 127 | +BL-panel, Burkhardt 2022, 25 |
|
| 128 | +BL, BL-WGS, 13 |
|
| 129 | +BL-WGS, Grande 2019, 13 |
|
| 130 | +BL, BL-RNA-seq/WGS/exome, 5 |
|
| 131 | +BL-RNA-seq/WGS/exome, Richter 2012, 5 |
|
| 132 | +BL, BL-exome, 59 |
|
| 133 | +BL-exome, Love 2012, 59 |
|
| 134 | +BL, BL-RNA-seq, 19 |
|
| 135 | +BL-RNA-seq, Schmitz 2012, 19 |
|
| 136 | +Zhang 2014, MCL Tier 1, 2 |
|
| 137 | +Zhang 2014, MCL Tier 2, 26 |
|
| 138 | +Bea 2013, MCL Tier 1, 11 |
|
| 139 | +Bea 2013, MCL Tier 2, 16 |
|
| 140 | +Nadeu 2020, MCL Tier 1, 3 |
|
| 141 | +Nadeu 2020, MCL Tier 2, 2 |
|
| 142 | +Pararajalingam 2020, MCL Tier 1, 6 |
|
| 143 | +Pararajalingam 2020, MCL Tier 2, 1 |
|
| 144 | +MCL, MCL-WGS/exome, 27 |
|
| 145 | +MCL-WGS/exome, Bea 2013, 27 |
|
| 146 | +MCL, MCL-WGS/exome, 7 |
|
| 147 | +MCL-WGS/exome, Pararajalingam 2020, 7 |
|
| 148 | +MCL, MCL-WGS, 5 |
|
| 149 | +MCL-WGS, Nadeu 2020, 5 |
|
| 150 | +MCL, MCL-exome, 28 |
|
| 151 | +MCL-exome, Zhang 2014, 28 |
|
| 153 | 152 | ``` |
| 154 | - |
|
| 155 | 153 | ## B-cell Lymphoma aSHM targets |
| 156 | 154 | [hg19 coordinates](ashm) |
| 157 | 155 |
MCL_genes.md
| ... | ... | @@ -1,6 +1,34 @@ |
| 1 | 1 | # MCL genes |
| 2 | 2 | |
| 3 | -## Origins of MCL genes |
|
| 3 | +## Origins of MCL genes |
|
| 4 | +```mermaid |
|
| 5 | +--- |
|
| 6 | +config: |
|
| 7 | + sankey: |
|
| 8 | + showValues: false |
|
| 9 | + linkColor: target |
|
| 10 | + width: 800 |
|
| 11 | + height: 1000 |
|
| 12 | + nodeAlignment: right |
|
| 13 | +--- |
|
| 14 | +sankey-beta |
|
| 15 | +Zhang 2014, MCL Tier 1, 2 |
|
| 16 | +Zhang 2014, MCL Tier 2, 26 |
|
| 17 | +Nadeu 2020, MCL Tier 1, 3 |
|
| 18 | +Nadeu 2020, MCL Tier 2, 2 |
|
| 19 | +Pararajalingam 2020, MCL Tier 1, 6 |
|
| 20 | +Pararajalingam 2020, MCL Tier 2, 1 |
|
| 21 | +Bea 2013, MCL Tier 1, 11 |
|
| 22 | +Bea 2013, MCL Tier 2, 16 |
|
| 23 | +MCL, exome, 28 |
|
| 24 | +exome, Zhang 2014, 28 |
|
| 25 | +MCL, WGS/exome, 7 |
|
| 26 | +WGS/exome, Pararajalingam 2020, 7 |
|
| 27 | +MCL, WGS, 5 |
|
| 28 | +WGS, Nadeu 2020, 5 |
|
| 29 | +MCL, WGS/exome, 27 |
|
| 30 | +WGS/exome, Bea 2013, 27 |
|
| 31 | +``` |
|
| 4 | 32 | |
| 5 | 33 | ## Tier 1 MCL genes |
| 6 | 34 |