Survival analysis of DNA mutation motifs with penalized proportional hazards.
Journal
The annals of applied statistics
ISSN: 1932-6157
Titre abrégé: Ann Appl Stat
Pays: United States
ID NLM: 101479511
Informations de publication
Date de publication:
Jun 2019
Jun 2019
Historique:
entrez:
20
11
2020
pubmed:
1
6
2019
medline:
1
6
2019
Statut:
ppublish
Résumé
Antibodies, an essential part of our immune system, develop through an intricate process to bind a wide array of pathogens. This process involves randomly mutating DNA sequences encoding these antibodies to find variants with improved binding, though mutations are not distributed uniformly across sequence sites. Immunologists observe this nonuniformity to be consistent with "mutation motifs", which are short DNA subsequences that affect how likely a given site is to experience a mutation. Quantifying the effect of motifs on mutation rates is challenging: a large number of possible motifs makes this statistical problem high dimensional, while the unobserved history of the mutation process leads to a nontrivial missing data problem. We introduce an
Identifiants
pubmed: 33214798
doi: 10.1214/18-aoas1233
pmc: PMC7673484
mid: NIHMS1585530
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1268-1294Subventions
Organisme : NIAID NIH HHS
ID : U19 AI090023
Pays : United States
Organisme : NCI NIH HHS
ID : T32 CA206089
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM113246
Pays : United States
Organisme : NIH HHS
ID : DP5 OD019820
Pays : United States
Organisme : NIAID NIH HHS
ID : U19 AI117891
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI120961
Pays : United States
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