IGLL5
History
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timeline
title Publication timing
2019-08-20 : Desch : PMBL
2019-09-26 : Panea : BL
2023-07-26 : Russler : FL
Relevance tier by entity
| Entity | Tier | Description |
|---|---|---|
| 2 | relevance in PMBL/cHL/GZL not firmly established1 | |
| 2-a | aSHM target; Although recurrent, the relevance of mutations in BL is tenuous2 | |
| 2-a | aSHM target; Although recurrent, the relevance of mutations in DLBCL is tenuous | |
| 2-a | aSHM target; Although recurrent, the relevance of mutations in FL is tenuous3 |
Mutation incidence in large patient cohorts (GAMBL reanalysis)
| Entity | source | frequency (%) |
|---|---|---|
| BL | GAMBL genomes+capture | 26.33 |
| BL | Thomas cohort | 25.00 |
| BL | Panea cohort | 23.80 |
| DLBCL | GAMBL genomes | 41.49 |
| DLBCL | Schmitz cohort | 35.96 |
| DLBCL | Reddy cohort | 16.12 |
| DLBCL | Chapuy cohort | 8.97 |
| FL | GAMBL genomes | 35.33 |
Mutation pattern and selective pressure estimates
| Entity | aSHM | Significant selection | dN/dS (missense) | dN/dS (nonsense) |
|---|---|---|---|---|
| BL | Yes | Yes | 7.850 | 3.210 |
| DLBCL | Yes | Yes | 3.376 | 5.315 |
| FL | Yes | Yes | 4.830 | 9.846 |
aSHM regions
| chr_name | hg19_start | hg19_end | region | regulatory_comment |
|---|---|---|---|---|
| chr22 | 23229554 | 23232042 | TSS | NA |
View coding variants in ProteinPaint hg19 or hg38
View all variants in GenomePaint hg19 or hg38
IGLL5 Expression
References
1.
Desch AK, Hartung K, Botzen A, Brobeil A,
Rummel M, Kurch L, Georgi T, Jox T, Bielack S, Burdach S, Classen CF,
Claviez A, Debatin KM, Ebinger M, Eggert A, Faber J, Flotho C, Frühwald
M, Graf N, Jorch N, Kontny U, Kramm C, Kulozik A, Kühr J, Sykora KW,
Metzler M, Müller HL, Nathrath M, Nüßlein T, Paulussen M, Pekrun A,
Reinhardt D, Reinhard H, Rössig C, Sauerbrey A, Schlegel PG, Schneider
DT, Scheurlen W, Schweigerer L, Simon T, Suttorp M, Vorwerk P, Schmitz
R, Kluge R, Mauz-Körholz C, Körholz D, Gattenlöhner S, Bräuninger A. Genotyping circulating
tumor DNA of pediatric Hodgkin lymphoma.
Leukemia. 2020 Jan;34(1):151–166.
2.
Panea R, Love C, Shingleton JR, Reddy A, Bailey
J, Moormann A, Otieno J, Ong’echa J, Oduor C, Schroêder K, Masalu N,
Chao N, Agajanian M, Major M, Fedoriw Y, Richards K, Rymkiewicz G, Miles
R, Alobeid B, Bhagat G, Flowers C, Ondrejka S, Hsi E, Choi W, Au-Yeung
R, Hartmann W, Lenz G, Meyerson H, Lin YY, Zhuang Y, Luftig M, Waldrop
A, Dave T, Thakkar D, Sahay H, Li G, Palus B, Seshadri V, Kim S,
Gascoyne R, Levy S, Mukhopadhyay M, Dunson D, Dave S. The whole genome
landscape of Burkitt lymphoma subtypes. Blood. 2019;
3.
Russler-Germain DA, Krysiak K, Ramirez CA,
Mosior M, Watkins MP, Gomez F, Skidmore ZL, Trani L, Gao F, Geyer S,
Cashen A, Mehta-Shah N, Kahl B, Bartlett N, Alderuccio J, Lossos I,
Ondrejka S, Hsi E, Martin P, Leonard J, Griffith M, Griffith O, Fehniger
T. Mutations
associated with progression in follicular lymphoma predict inferior
outcomes at diagnosis: Alliance A151303. Blood
Advances. 2023;7:5524–5539.


