Combining genotypes and T cell receptor distributions to infer genetic loci determining V(D)J recombination probabilities

Every T cell receptor (TCR) repertoire is shaped by a complex probabilistic tangle of genetically determined biases and immune exposures. T cells combine a random V(D)J recombination process with a selection process to generate highly diverse and functional TCRs. The extent to which an individual’s...

Full description

Saved in:
Bibliographic Details
Published ineLife Vol. 11
Main Authors Russell, Magdalena L, Souquette, Aisha, Levine, David M, Schattgen, Stefan A, Allen, E Kaitlynn, Kuan, Guillermina, Simon, Noah, Balmaseda, Angel, Gordon, Aubree, Thomas, Paul G, Matsen, Frederick A, Bradley, Philip
Format Journal Article
LanguageEnglish
Published England eLife Sciences Publications Ltd 22.03.2022
eLife Sciences Publications, Ltd
Subjects
Online AccessGet full text
ISSN2050-084X
2050-084X
DOI10.7554/eLife.73475

Cover

Loading…
Abstract Every T cell receptor (TCR) repertoire is shaped by a complex probabilistic tangle of genetically determined biases and immune exposures. T cells combine a random V(D)J recombination process with a selection process to generate highly diverse and functional TCRs. The extent to which an individual’s genetic background is associated with their resulting TCR repertoire diversity has yet to be fully explored. Using a previously published repertoire sequencing dataset paired with high-resolution genome-wide genotyping from a large human cohort, we infer specific genetic loci associated with V(D)J recombination probabilities using genome-wide association inference. We show that V(D)J gene usage profiles are associated with variation in the TCRB locus and, specifically for the functional TCR repertoire, variation in the major histocompatibility complex locus. Further, we identify specific variations in the genes encoding the Artemis protein and the TdT protein to be associated with biasing junctional nucleotide deletion and N-insertion, respectively. These results refine our understanding of genetically-determined TCR repertoire biases by confirming and extending previous studies on the genetic determinants of V(D)J gene usage and providing the first examples of trans genetic variants which are associated with modifying junctional diversity. Together, these insights lay the groundwork for further explorations into how immune responses vary between individuals.
AbstractList Every T cell receptor (TCR) repertoire is shaped by a complex probabilistic tangle of genetically determined biases and immune exposures. T cells combine a random V(D)J recombination process with a selection process to generate highly diverse and functional TCRs. The extent to which an individual’s genetic background is associated with their resulting TCR repertoire diversity has yet to be fully explored. Using a previously published repertoire sequencing dataset paired with high-resolution genome-wide genotyping from a large human cohort, we infer specific genetic loci associated with V(D)J recombination probabilities using genome-wide association inference. We show that V(D)J gene usage profiles are associated with variation in the TCRB locus and, specifically for the functional TCR repertoire, variation in the major histocompatibility complex locus. Further, we identify specific variations in the genes encoding the Artemis protein and the TdT protein to be associated with biasing junctional nucleotide deletion and N-insertion, respectively. These results refine our understanding of genetically-determined TCR repertoire biases by confirming and extending previous studies on the genetic determinants of V(D)J gene usage and providing the first examples of trans genetic variants which are associated with modifying junctional diversity. Together, these insights lay the groundwork for further explorations into how immune responses vary between individuals.
Every T cell receptor (TCR) repertoire is shaped by a complex probabilistic tangle of genetically determined biases and immune exposures. T cells combine a random V(D)J recombination process with a selection process to generate highly diverse and functional TCRs. The extent to which an individual’s genetic background is associated with their resulting TCR repertoire diversity has yet to be fully explored. Using a previously published repertoire sequencing dataset paired with high-resolution genome-wide genotyping from a large human cohort, we infer specific genetic loci associated with V(D)J recombination probabilities using genome-wide association inference. We show that V(D)J gene usage profiles are associated with variation in the TCRB locus and, specifically for the functional TCR repertoire, variation in the major histocompatibility complex locus. Further, we identify specific variations in the genes encoding the Artemis protein and the TdT protein to be associated with biasing junctional nucleotide deletion and N-insertion, respectively. These results refine our understanding of genetically-determined TCR repertoire biases by confirming and extending previous studies on the genetic determinants of V(D)J gene usage and providing the first examples of trans genetic variants which are associated with modifying junctional diversity. Together, these insights lay the groundwork for further explorations into how immune responses vary between individuals.
Every T cell receptor (TCR) repertoire is shaped by a complex probabilistic tangle of genetically determined biases and immune exposures. T cells combine a random V(D)J recombination process with a selection process to generate highly diverse and functional TCRs. The extent to which an individual's genetic background is associated with their resulting TCR repertoire diversity has yet to be fully explored. Using a previously published repertoire sequencing dataset paired with high-resolution genome-wide genotyping from a large human cohort, we infer specific genetic loci associated with V(D)J recombination probabilities using genome-wide association inference. We show that V(D)J gene usage profiles are associated with variation in the locus and, specifically for the functional TCR repertoire, variation in the major histocompatibility complex locus. Further, we identify specific variations in the genes encoding the Artemis protein and the TdT protein to be associated with biasing junctional nucleotide deletion and N-insertion, respectively. These results refine our understanding of genetically-determined TCR repertoire biases by confirming and extending previous studies on the genetic determinants of V(D)J gene usage and providing the first examples of genetic variants which are associated with modifying junctional diversity. Together, these insights lay the groundwork for further explorations into how immune responses vary between individuals.
Every T cell receptor (TCR) repertoire is shaped by a complex probabilistic tangle of genetically determined biases and immune exposures. T cells combine a random V(D)J recombination process with a selection process to generate highly diverse and functional TCRs. The extent to which an individual's genetic background is associated with their resulting TCR repertoire diversity has yet to be fully explored. Using a previously published repertoire sequencing dataset paired with high-resolution genome-wide genotyping from a large human cohort, we infer specific genetic loci associated with V(D)J recombination probabilities using genome-wide association inference. We show that V(D)J gene usage profiles are associated with variation in the TCRB locus and, specifically for the functional TCR repertoire, variation in the major histocompatibility complex locus. Further, we identify specific variations in the genes encoding the Artemis protein and the TdT protein to be associated with biasing junctional nucleotide deletion and N-insertion, respectively. These results refine our understanding of genetically-determined TCR repertoire biases by confirming and extending previous studies on the genetic determinants of V(D)J gene usage and providing the first examples of trans genetic variants which are associated with modifying junctional diversity. Together, these insights lay the groundwork for further explorations into how immune responses vary between individuals.Every T cell receptor (TCR) repertoire is shaped by a complex probabilistic tangle of genetically determined biases and immune exposures. T cells combine a random V(D)J recombination process with a selection process to generate highly diverse and functional TCRs. The extent to which an individual's genetic background is associated with their resulting TCR repertoire diversity has yet to be fully explored. Using a previously published repertoire sequencing dataset paired with high-resolution genome-wide genotyping from a large human cohort, we infer specific genetic loci associated with V(D)J recombination probabilities using genome-wide association inference. We show that V(D)J gene usage profiles are associated with variation in the TCRB locus and, specifically for the functional TCR repertoire, variation in the major histocompatibility complex locus. Further, we identify specific variations in the genes encoding the Artemis protein and the TdT protein to be associated with biasing junctional nucleotide deletion and N-insertion, respectively. These results refine our understanding of genetically-determined TCR repertoire biases by confirming and extending previous studies on the genetic determinants of V(D)J gene usage and providing the first examples of trans genetic variants which are associated with modifying junctional diversity. Together, these insights lay the groundwork for further explorations into how immune responses vary between individuals.
Author Levine, David M
Thomas, Paul G
Bradley, Philip
Kuan, Guillermina
Simon, Noah
Schattgen, Stefan A
Gordon, Aubree
Russell, Magdalena L
Matsen, Frederick A
Souquette, Aisha
Balmaseda, Angel
Allen, E Kaitlynn
Author_xml – sequence: 1
  givenname: Magdalena L
  orcidid: 0000-0002-1068-1968
  surname: Russell
  fullname: Russell, Magdalena L
– sequence: 2
  givenname: Aisha
  surname: Souquette
  fullname: Souquette, Aisha
– sequence: 3
  givenname: David M
  surname: Levine
  fullname: Levine, David M
– sequence: 4
  givenname: Stefan A
  surname: Schattgen
  fullname: Schattgen, Stefan A
– sequence: 5
  givenname: E Kaitlynn
  surname: Allen
  fullname: Allen, E Kaitlynn
– sequence: 6
  givenname: Guillermina
  surname: Kuan
  fullname: Kuan, Guillermina
– sequence: 7
  givenname: Noah
  surname: Simon
  fullname: Simon, Noah
– sequence: 8
  givenname: Angel
  surname: Balmaseda
  fullname: Balmaseda, Angel
– sequence: 9
  givenname: Aubree
  surname: Gordon
  fullname: Gordon, Aubree
– sequence: 10
  givenname: Paul G
  surname: Thomas
  fullname: Thomas, Paul G
– sequence: 11
  givenname: Frederick A
  orcidid: 0000-0003-0607-6025
  surname: Matsen
  fullname: Matsen, Frederick A
– sequence: 12
  givenname: Philip
  orcidid: 0000-0002-0224-6464
  surname: Bradley
  fullname: Bradley, Philip
BackLink https://www.ncbi.nlm.nih.gov/pubmed/35315770$$D View this record in MEDLINE/PubMed
BookMark eNptkk1v3CAQQFGVqknTnHqvkHpJVG0KBox9qVRt-pFqpV7SqjeE8bBlZYMDuNL--9reNEqicgHBm6eZYV6iIx88IPSakkspBH8PG2fhUjIuxTN0UhBBVqTiv44enI_RWUo7Mi3Jq4rWL9AxE4wKKckJ2q9D3zjv_BZvwYe8HyBh7Vt8gw10HY5gYMgh4talHF0zZhd8wjlg5y3EOQiyM7gLxuEWMsT-YPt5fnXxbQ5f_HoOw0MMjW5c57KD9Ao9t7pLcHa3n6Ifnz_drL-uNt-_XK8_blZmqimvGlmTwgrNhK2tKErDypYUvLG0FtAyISgzUFMmNRDdUFlUtrVaEtFUoqSMslN0ffC2Qe_UEF2v414F7dRyEeJW6TiV0IGqRWNLrrltteStIJOuZkYYZikroZxdHw6uYWx6aA34HHX3SPr4xbvfahv-qKrmhFaz4PxOEMPtCCmr3qW50dpDGJMqSk6rUpRiRt8-QXdhjH5q1UwJWVcl4xP15mFG96n8--EJeHcATAwpRbD3CCVqHiG1jJBaRmii6RPauLx83lSO6_4b8xeO2ctr
CitedBy_id crossref_primary_10_1016_j_xgen_2022_100228
crossref_primary_10_1016_j_dci_2025_105333
crossref_primary_10_7554_eLife_85145
crossref_primary_10_1093_nar_gkad603
crossref_primary_10_1016_j_jacig_2023_100086
crossref_primary_10_1038_s43586_023_00284_1
crossref_primary_10_4049_jimmunol_2300201
crossref_primary_10_1038_s41590_023_01508_y
crossref_primary_10_1016_j_jaut_2024_103337
crossref_primary_10_1038_s42003_024_07010_x
crossref_primary_10_1371_journal_pcbi_1012724
Cites_doi 10.1126/scitranslmed.aaf1725
10.1201/9781315533247
10.4049/jimmunol.155.9.4322
10.1016/s0092-8674(02)00671-2
10.1111/j.0006-341x.1999.00997.x
10.1093/nar/gki010
10.1006/smim.1994.1021
10.3389/fimmu.2021.599133
10.1128/MCB.17.7.3768
10.1186/s13073-021-01008-4
10.1073/pnas.89.7.2799
10.1073/pnas.1212755109
10.1093/bioinformatics/bts610
10.1038/gene.2012.12
10.1186/1471-2172-5-19
10.1080/00401706.1999.10485670
10.1016/j.ajhg.2015.12.001
10.1186/s12979-020-00195-9
10.1385/IR:23:2-3:121
10.1016/s0092-8674(01)00309-9
10.1073/pnas.91.10.4514
10.1146/annurev-genet-110410-132552
10.21105/joss.01686
10.1126/science.8356452
10.1038/276785a0
10.1093/bioinformatics/btz567
10.1371/journal.pone.0052250
10.1182/bloodadvances.2020001927
10.7554/eLife.38358
10.1016/j.dnarep.2010.01.001
10.1128/MCB.16.1.258
10.1126/science.8356451
10.1038/ng1333
10.1073/pnas.1809642115
10.1093/bioinformatics/bts606
10.1038/ng.3822
10.1093/nar/gkm823
10.1186/s13073-015-0238-z
10.3389/fimmu.2019.02064
10.1074/jbc.M113.544874
10.1038/nature22383
10.1073/pnas.1915008117
10.1038/nrg2813
10.1073/pnas.1319389111
10.1016/j.coisb.2019.10.007
10.4049/jimmunol.1500215
10.1146/annurev.immunol.18.1.495
10.1006/smim.1994.1018
10.1038/46218
10.1186/gm502
10.1038/ncomms11112
10.1126/scitranslmed.3001442
10.1038/s41580-020-00297-8
10.1002/gepi.21896
10.1097/INF.0000000000001083
10.1038/ng.3625
10.1038/nmeth.2960
10.1038/s41435-021-00145-5
ContentType Journal Article
Copyright 2022, Russell et al.
2022, Russell et al. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2022, Russell et al 2022 Russell et al
Copyright_xml – notice: 2022, Russell et al.
– notice: 2022, Russell et al. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: 2022, Russell et al 2022 Russell et al
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7X7
7XB
88E
88I
8FE
8FH
8FI
8FJ
8FK
ABUWG
AFKRA
AZQEC
BBNVY
BENPR
BHPHI
CCPQU
DWQXO
FYUFA
GHDGH
GNUQQ
HCIFZ
K9.
LK8
M0S
M1P
M2P
M7P
PHGZM
PHGZT
PIMPY
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
Q9U
7X8
5PM
DOA
DOI 10.7554/eLife.73475
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
ProQuest Central (Corporate)
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
Science Database (Alumni Edition)
ProQuest SciTech Collection
ProQuest Natural Science Collection
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
Biological Science Collection
ProQuest Central
Natural Science Collection
ProQuest One Community College
ProQuest Central
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
SciTech Premium Collection
ProQuest Health & Medical Complete (Alumni)
Biological Sciences
ProQuest Health & Medical Collection
Medical Database
Science Database
Biological Science Database
ProQuest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
ProQuest Central Basic
MEDLINE - Academic
PubMed Central (Full Participant titles)
Acceso a contenido Full Text - Doaj
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Publicly Available Content Database
ProQuest Central Student
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Natural Science Collection
ProQuest Central China
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest Health & Medical Research Collection
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
Natural Science Collection
ProQuest Central Korea
Health & Medical Research Collection
Biological Science Collection
ProQuest Central (New)
ProQuest Medical Library (Alumni)
ProQuest Science Journals (Alumni Edition)
ProQuest Biological Science Collection
ProQuest Central Basic
ProQuest Science Journals
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
Biological Science Database
ProQuest SciTech Collection
ProQuest Hospital Collection (Alumni)
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList

MEDLINE
MEDLINE - Academic
Publicly Available Content Database
CrossRef
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 4
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Biology
EISSN 2050-084X
ExternalDocumentID oai_doaj_org_article_95bf64a4fda74d50b1793c5c3f136e61
PMC8940181
35315770
10_7554_eLife_73475
Genre Research Support, Non-U.S. Gov't
Journal Article
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: NHLBI NIH HHS
  grantid: K23 HL069860
– fundername: NHLBI NIH HHS
  grantid: R01 HL105914
– fundername: NIAID NIH HHS
  grantid: R01 AI146028
– fundername: NHLBI NIH HHS
  grantid: R01 HL087690
– fundername: Howard Hughes Medical Institute
– fundername: NCI NIH HHS
  grantid: P30 CA015704
– fundername: NIAID NIH HHS
  grantid: R01 AI120997
– fundername: NIAID NIH HHS
  grantid: R01 AI136514
– fundername: NIAID NIH HHS
  grantid: R01 AI107625
– fundername: NHLBI NIH HHS
  grantid: R01 HL094260
– fundername: ;
  grantid: AI149213
– fundername: ;
  grantid: 55108544
– fundername: ;
  grantid: AI33484
– fundername: ;
  grantid: Investigator
– fundername: ;
  grantid: CA015704
– fundername: ;
  grantid: HL094260
– fundername: ;
  grantid: HL105914
– fundername: ;
  grantid: R01 AI146028
– fundername: ;
  grantid: R01 AI107625
– fundername: ;
  grantid: R01 AI120997
GroupedDBID 53G
5VS
7X7
88E
88I
8FE
8FH
8FI
8FJ
AAFWJ
AAKDD
AAYXX
ABUWG
ACGFO
ACGOD
ACPRK
ADBBV
ADRAZ
AENEX
AFKRA
AFPKN
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AOIJS
AZQEC
BAWUL
BBNVY
BCNDV
BENPR
BHPHI
BPHCQ
BVXVI
CCPQU
CITATION
DIK
DWQXO
EMOBN
FYUFA
GNUQQ
GROUPED_DOAJ
GX1
HCIFZ
HMCUK
HYE
IAO
IEA
IHR
INH
INR
ISR
ITC
KQ8
LK8
M1P
M2P
M48
M7P
M~E
NQS
OK1
PGMZT
PHGZM
PHGZT
PIMPY
PQQKQ
PROAC
PSQYO
RHI
RNS
RPM
UKHRP
3V.
CGR
CUY
CVF
ECM
EIF
FRP
NPM
RHF
7XB
8FK
K9.
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQUKI
PRINS
Q9U
7X8
5PM
PUEGO
ID FETCH-LOGICAL-c475t-b7902f5a35f9f526c36d024bf195ed35513ce9137ae0ab1728fdfa705b8561313
IEDL.DBID M48
ISSN 2050-084X
IngestDate Wed Aug 27 01:27:20 EDT 2025
Thu Aug 21 18:30:08 EDT 2025
Fri Jul 11 06:41:21 EDT 2025
Fri Jul 25 11:50:45 EDT 2025
Thu Jan 02 22:54:52 EST 2025
Tue Jul 01 01:58:21 EDT 2025
Thu Apr 24 23:07:23 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords GWAS
TdT
inflammation
Artemis
t cell receptor repertoire
VDJ recombination probabilities
human
immunology
Language English
License 2022, Russell et al.
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c475t-b7902f5a35f9f526c36d024bf195ed35513ce9137ae0ab1728fdfa705b8561313
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
These authors contributed equally to this work.
ORCID 0000-0003-0607-6025
0000-0002-0224-6464
0000-0002-1068-1968
OpenAccessLink http://journals.scholarsportal.info/openUrl.xqy?doi=10.7554/eLife.73475
PMID 35315770
PQID 2645798634
PQPubID 2045579
ParticipantIDs doaj_primary_oai_doaj_org_article_95bf64a4fda74d50b1793c5c3f136e61
pubmedcentral_primary_oai_pubmedcentral_nih_gov_8940181
proquest_miscellaneous_2641865651
proquest_journals_2645798634
pubmed_primary_35315770
crossref_primary_10_7554_eLife_73475
crossref_citationtrail_10_7554_eLife_73475
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2022-03-22
PublicationDateYYYYMMDD 2022-03-22
PublicationDate_xml – month: 03
  year: 2022
  text: 2022-03-22
  day: 22
PublicationDecade 2020
PublicationPlace England
PublicationPlace_xml – name: England
– name: Cambridge
PublicationTitle eLife
PublicationTitleAlternate Elife
PublicationYear 2022
Publisher eLife Sciences Publications Ltd
eLife Sciences Publications, Ltd
Publisher_xml – name: eLife Sciences Publications Ltd
– name: eLife Sciences Publications, Ltd
References Conomos (bib2) 2015; 39
Murugan (bib36) 2012; 109
Zheng (bib62) 2012; 28
Gogarten (bib22) 2019; 35
Nadel (bib37) 1995; 155
Zhao (bib61) 2020; 21
Devlin (bib7) 1999; 55
Gao (bib16) 2019; 10
Krishna (bib28) 2020; 17
Gilfillan (bib19) 1993; 261
Rousseeuw (bib46) 1999; 41
Wilke (bib58) 2020
Robins (bib45) 2010; 2
Price (bib43) 2010; 11
Qi (bib44) 2016; 8
Weigert (bib56) 1978; 276
Gogarten (bib21) 2012; 28
Nadel (bib38) 1997; 17
Tanno (bib53) 2020; 117
Murphy (bib35) 2016
Ma (bib31) 2002; 108
Russell (bib48) 2022
Dean (bib6) 2015; 7
Gellert (bib18) 1994; 6
Goldrath (bib23) 1999; 402
Fugmann (bib15) 2000; 18
Witzgall (bib59) 1994; 91
Bradley (bib1) 2017
Conomos (bib3) 2016; 98
Ng (bib39) 2016; 35
Egorov (bib10) 2015; 194
Gu (bib24) 2010; 9
Freedman (bib14) 2004; 36
Gauss (bib17) 1996; 16
Martin (bib32) 2020; 4
Jackson (bib25) 2004; 5
Rubelt (bib47) 2016; 7
Pogorelyy (bib42) 2018; 115
Corporation (bib4) 2020
Giudicelli (bib20) 2005; 33
Zvyagin (bib63) 2014; 111
Wickham (bib57) 2019; 4
Omer (bib41) 2022; 14
Oltz (bib40) 2001; 23
DeWitt (bib8) 2018; 7
Woodsworth (bib60) 2013; 5
Feeney (bib12) 1994; 6
Dowle (bib9) 2021
Sharon (bib50) 2016; 48
Schatz (bib49) 2011; 45
Kallenbach (bib26) 1992; 89
Komori (bib27) 1993; 261
Watson (bib55) 2012; 13
Lu (bib30) 2007; 35
Dash (bib5) 2017; 547
Li (bib29) 2014; 289
Moshous (bib34) 2001; 105
Emerson (bib11) 2017; 49
Fischer (bib13) 2021; 12
Mikocziova (bib33) 2021; 22
Thomas (bib54) 2019; 18
Srivastava (bib52) 2012; 7
Shugay (bib51) 2014; 11
References_xml – volume: 8
  year: 2016
  ident: bib44
  article-title: Diversification of the antigen-specific T cell receptor repertoire after varicella zoster vaccination
  publication-title: Science Translational Medicine
  doi: 10.1126/scitranslmed.aaf1725
– volume-title: Janeway’s Immunobiology
  year: 2016
  ident: bib35
  doi: 10.1201/9781315533247
– volume: 155
  start-page: 4322
  year: 1995
  ident: bib37
  article-title: Influence of coding-end sequence on coding-end processing in V(D)J recombination
  publication-title: Journal of Immunology
  doi: 10.4049/jimmunol.155.9.4322
– volume: 108
  start-page: 781
  year: 2002
  ident: bib31
  article-title: Hairpin opening and overhang processing by an Artemis/DNA-dependent protein kinase complex in nonhomologous end joining and V(D)J recombination
  publication-title: Cell
  doi: 10.1016/s0092-8674(02)00671-2
– volume: 55
  start-page: 997
  year: 1999
  ident: bib7
  article-title: Genomic control for association studies
  publication-title: Biometrics
  doi: 10.1111/j.0006-341x.1999.00997.x
– volume: 33
  start-page: D256
  year: 2005
  ident: bib20
  article-title: IMGT/GENE-DB: a comprehensive database for human and mouse immunoglobulin and T cell receptor genes
  publication-title: Nucleic Acids Research
  doi: 10.1093/nar/gki010
– volume: 6
  start-page: 155
  year: 1994
  ident: bib12
  article-title: Influence of the V(D)J recombination mechanism on the formation of the primary T and B cell repertoires
  publication-title: Seminars in Immunology
  doi: 10.1006/smim.1994.1021
– volume: 12
  year: 2021
  ident: bib13
  article-title: VJ Segment Usage of TCR-Beta Repertoire in Monozygotic Cystic Fibrosis Twins
  publication-title: Frontiers in Immunology
  doi: 10.3389/fimmu.2021.599133
– volume: 17
  start-page: 3768
  year: 1997
  ident: bib38
  article-title: Nucleotide deletion and P addition in V(D)J recombination: a determinant role of the coding-end sequence
  publication-title: Molecular and Cellular Biology
  doi: 10.1128/MCB.17.7.3768
– volume: 14
  year: 2022
  ident: bib41
  article-title: T cell receptor beta germline variability is revealed by inference from repertoire data
  publication-title: Genome Medicine
  doi: 10.1186/s13073-021-01008-4
– volume-title: Software Heritage
  year: 2022
  ident: bib48
  article-title: TCR-GWAS
– volume: 89
  start-page: 2799
  year: 1992
  ident: bib26
  article-title: Three lymphoid-specific factors account for all junctional diversity characteristic of somatic assembly of T-cell receptor and immunoglobulin genes
  publication-title: PNAS
  doi: 10.1073/pnas.89.7.2799
– volume: 109
  start-page: 16161
  year: 2012
  ident: bib36
  article-title: Statistical inference of the generation probability of T-cell receptors from sequence repertoires
  publication-title: PNAS
  doi: 10.1073/pnas.1212755109
– volume: 28
  start-page: 3329
  year: 2012
  ident: bib21
  article-title: GWASTools: an R/Bioconductor package for quality control and analysis of genome-wide association studies
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/bts610
– volume: 13
  start-page: 363
  year: 2012
  ident: bib55
  article-title: The immunoglobulin heavy chain locus: genetic variation, missing data, and implications for human disease
  publication-title: Genes and Immunity
  doi: 10.1038/gene.2012.12
– volume-title: R Package
  year: 2020
  ident: bib58
  article-title: cowplot: Streamlined Plot Theme and Plot Annotations for ’ggplot2’
– volume: 5
  year: 2004
  ident: bib25
  article-title: Exonuclease activity and P nucleotide addition in the generation of the expressed immunoglobulin repertoire
  publication-title: BMC Immunology
  doi: 10.1186/1471-2172-5-19
– volume: 41
  start-page: 212
  year: 1999
  ident: bib46
  article-title: A Fast Algorithm for the Minimum Covariance Determinant Estimator
  publication-title: Technometrics
  doi: 10.1080/00401706.1999.10485670
– volume: 98
  start-page: 165
  year: 2016
  ident: bib3
  article-title: Genetic Diversity and Association Studies in US Hispanic/Latino Populations: Applications in the Hispanic Community Health Study/Study of Latinos
  publication-title: American Journal of Human Genetics
  doi: 10.1016/j.ajhg.2015.12.001
– volume: 17
  year: 2020
  ident: bib28
  article-title: Genetic and environmental determinants of human TCR repertoire diversity
  publication-title: Immunity & Ageing
  doi: 10.1186/s12979-020-00195-9
– volume: 23
  start-page: 121
  year: 2001
  ident: bib40
  article-title: Regulation of antigen receptor gene assembly in lymphocytes
  publication-title: Immunologic Research
  doi: 10.1385/IR:23:2-3:121
– volume-title: R Package
  year: 2021
  ident: bib9
  article-title: data.table: Extension of ‘data.frame‘
– volume: 105
  start-page: 177
  year: 2001
  ident: bib34
  article-title: Artemis, a novel DNA double-strand break repair/V(D)J recombination protein, is mutated in human severe combined immune deficiency
  publication-title: Cell
  doi: 10.1016/s0092-8674(01)00309-9
– volume: 91
  start-page: 4514
  year: 1994
  ident: bib59
  article-title: The Krüppel-associated box-A (KRAB-A) domain of zinc finger proteins mediates transcriptional repression
  publication-title: PNAS
  doi: 10.1073/pnas.91.10.4514
– volume: 45
  start-page: 167
  year: 2011
  ident: bib49
  article-title: V(D)J recombination: mechanisms of initiation
  publication-title: Annual Review of Genetics
  doi: 10.1146/annurev-genet-110410-132552
– volume: 4
  year: 2019
  ident: bib57
  article-title: Welcome to the Tidyverse
  publication-title: Journal of Open Source Software
  doi: 10.21105/joss.01686
– volume: 261
  start-page: 1175
  year: 1993
  ident: bib19
  article-title: Mice lacking TdT: mature animals with an immature lymphocyte repertoire
  publication-title: Science
  doi: 10.1126/science.8356452
– volume: 276
  start-page: 785
  year: 1978
  ident: bib56
  article-title: Rearrangement of genetic information may produce immunoglobulin diversity
  publication-title: Nature
  doi: 10.1038/276785a0
– volume: 35
  start-page: 5346
  year: 2019
  ident: bib22
  article-title: Genetic association testing using the GENESIS R/Bioconductor package
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btz567
– volume: 7
  year: 2012
  ident: bib52
  article-title: Palindromic nucleotide analysis in human T cell receptor rearrangements
  publication-title: PLOS ONE
  doi: 10.1371/journal.pone.0052250
– volume-title: R Package
  year: 2020
  ident: bib4
  article-title: doParallel: Foreach Parallel Adaptor for the ’parallel’ Package
– volume: 4
  start-page: 3224
  year: 2020
  ident: bib32
  article-title: Recipient and donor genetic variants associated with mortality after allogeneic hematopoietic cell transplantation
  publication-title: Blood Advances
  doi: 10.1182/bloodadvances.2020001927
– volume: 7
  year: 2018
  ident: bib8
  article-title: Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity
  publication-title: eLife
  doi: 10.7554/eLife.38358
– volume-title: GitHub
  year: 2017
  ident: bib1
  article-title: TCRdist pipeline
– volume: 9
  start-page: 429
  year: 2010
  ident: bib24
  article-title: DNA-PKcs regulates a single-stranded DNA endonuclease activity of Artemis
  publication-title: DNA Repair
  doi: 10.1016/j.dnarep.2010.01.001
– volume: 16
  start-page: 258
  year: 1996
  ident: bib17
  article-title: Mechanistic constraints on diversity in human V(D)J recombination
  publication-title: Molecular and Cellular Biology
  doi: 10.1128/MCB.16.1.258
– volume: 261
  start-page: 1171
  year: 1993
  ident: bib27
  article-title: Lack of N regions in antigen receptor variable region genes of TdT-deficient lymphocytes
  publication-title: Science
  doi: 10.1126/science.8356451
– volume: 36
  start-page: 388
  year: 2004
  ident: bib14
  article-title: Assessing the impact of population stratification on genetic association studies
  publication-title: Nature Genetics
  doi: 10.1038/ng1333
– volume: 115
  start-page: 12704
  year: 2018
  ident: bib42
  article-title: Precise tracking of vaccine-responding T cell clones reveals convergent and personalized response in identical twins
  publication-title: PNAS
  doi: 10.1073/pnas.1809642115
– volume: 28
  start-page: 3326
  year: 2012
  ident: bib62
  article-title: A high-performance computing toolset for relatedness and principal component analysis of SNP data
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/bts606
– volume: 49
  start-page: 659
  year: 2017
  ident: bib11
  article-title: Immunosequencing identifies signatures of cytomegalovirus exposure history and HLA-mediated effects on the T cell repertoire
  publication-title: Nature Genetics
  doi: 10.1038/ng.3822
– volume: 35
  start-page: 6917
  year: 2007
  ident: bib30
  article-title: Extent to which hairpin opening by the Artemis:DNA-PKcs complex can contribute to junctional diversity in V(D)J recombination
  publication-title: Nucleic Acids Research
  doi: 10.1093/nar/gkm823
– volume: 7
  year: 2015
  ident: bib6
  article-title: Annotation of pseudogenic gene segments by massively parallel sequencing of rearranged lymphocyte receptor loci
  publication-title: Genome Medicine
  doi: 10.1186/s13073-015-0238-z
– volume: 10
  year: 2019
  ident: bib16
  article-title: Germline-Encoded TCR-MHC Contacts Promote TCR V Gene Bias in Umbilical Cord Blood T Cell Repertoire
  publication-title: Frontiers in Immunology
  doi: 10.3389/fimmu.2019.02064
– volume: 289
  start-page: 7825
  year: 2014
  ident: bib29
  article-title: Evidence that the DNA endonuclease ARTEMIS also has intrinsic 5’-exonuclease activity
  publication-title: The Journal of Biological Chemistry
  doi: 10.1074/jbc.M113.544874
– volume: 547
  start-page: 89
  year: 2017
  ident: bib5
  article-title: Quantifiable predictive features define epitope-specific T cell receptor repertoires
  publication-title: Nature
  doi: 10.1038/nature22383
– volume: 117
  start-page: 532
  year: 2020
  ident: bib53
  article-title: Determinants governing T cell receptor α/β-chain pairing in repertoire formation of identical twins
  publication-title: PNAS
  doi: 10.1073/pnas.1915008117
– volume: 11
  start-page: 459
  year: 2010
  ident: bib43
  article-title: New approaches to population stratification in genome-wide association studies
  publication-title: Nature Reviews. Genetics
  doi: 10.1038/nrg2813
– volume: 111
  start-page: 5980
  year: 2014
  ident: bib63
  article-title: Distinctive properties of identical twins’ TCR repertoires revealed by high-throughput sequencing
  publication-title: PNAS
  doi: 10.1073/pnas.1319389111
– volume: 18
  start-page: 36
  year: 2019
  ident: bib54
  article-title: Selected before selection: A case for inherent antigen bias in the T cell receptor repertoire
  publication-title: Current Opinion in Systems Biology
  doi: 10.1016/j.coisb.2019.10.007
– volume: 194
  start-page: 6155
  year: 2015
  ident: bib10
  article-title: Quantitative profiling of immune repertoires for minor lymphocyte counts using unique molecular identifiers
  publication-title: Journal of Immunology
  doi: 10.4049/jimmunol.1500215
– volume: 18
  start-page: 495
  year: 2000
  ident: bib15
  article-title: The RAG proteins and V(D)J recombination: complexes, ends, and transposition
  publication-title: Annual Review of Immunology
  doi: 10.1146/annurev.immunol.18.1.495
– volume: 6
  start-page: 125
  year: 1994
  ident: bib18
  article-title: DNA double-strand breaks and hairpins in V(D)J recombination
  publication-title: Seminars in Immunology
  doi: 10.1006/smim.1994.1018
– volume: 402
  start-page: 255
  year: 1999
  ident: bib23
  article-title: Selecting and maintaining a diverse T-cell repertoire
  publication-title: Nature
  doi: 10.1038/46218
– volume: 5
  year: 2013
  ident: bib60
  article-title: Sequence analysis of T-cell repertoires in health and disease
  publication-title: Genome Medicine
  doi: 10.1186/gm502
– volume: 7
  year: 2016
  ident: bib47
  article-title: Individual heritable differences result in unique cell lymphocyte receptor repertoires of naïve and antigen-experienced cells
  publication-title: Nature Communications
  doi: 10.1038/ncomms11112
– volume: 2
  year: 2010
  ident: bib45
  article-title: Overlap and effective size of the human CD8+ T cell receptor repertoire
  publication-title: Science Translational Medicine
  doi: 10.1126/scitranslmed.3001442
– volume: 21
  start-page: 765
  year: 2020
  ident: bib61
  article-title: The molecular basis and disease relevance of non-homologous DNA end joining
  publication-title: Nature Reviews. Molecular Cell Biology
  doi: 10.1038/s41580-020-00297-8
– volume: 39
  start-page: 276
  year: 2015
  ident: bib2
  article-title: Robust inference of population structure for ancestry prediction and correction of stratification in the presence of relatedness
  publication-title: Genetic Epidemiology
  doi: 10.1002/gepi.21896
– volume: 35
  start-page: 583
  year: 2016
  ident: bib39
  article-title: The Timeline of Influenza Virus Shedding in Children and Adults in a Household Transmission Study of Influenza in Managua, Nicaragua
  publication-title: The Pediatric Infectious Disease Journal
  doi: 10.1097/INF.0000000000001083
– volume: 48
  start-page: 995
  year: 2016
  ident: bib50
  article-title: Genetic variation in MHC proteins is associated with T cell receptor expression biases
  publication-title: Nature Genetics
  doi: 10.1038/ng.3625
– volume: 11
  start-page: 653
  year: 2014
  ident: bib51
  article-title: Towards error-free profiling of immune repertoires
  publication-title: Nature Methods
  doi: 10.1038/nmeth.2960
– volume: 22
  start-page: 205
  year: 2021
  ident: bib33
  article-title: Immunoglobulin germline gene variation and its impact on human disease
  publication-title: Genes and Immunity
  doi: 10.1038/s41435-021-00145-5
SSID ssj0000748819
Score 2.403528
Snippet Every T cell receptor (TCR) repertoire is shaped by a complex probabilistic tangle of genetically determined biases and immune exposures. T cells combine a...
SourceID doaj
pubmedcentral
proquest
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
SubjectTerms Antigens
Artemis
Artemis protein
Chromosomes
DNA nucleotidylexotransferase
Gene deletion
Gene loci
Genetic diversity
Genetic Loci
Genome-Wide Association Study
Genomes
Genotype
Genotypes
Genotyping
GWAS
Humans
Immunology and Inflammation
Insertion
J gene
Lymphocytes
Lymphocytes T
Major histocompatibility complex
Peptides
Probability
Proteins
Receptors, Antigen, T-Cell - genetics
t cell receptor repertoire
T cell receptors
TdT
Thymus gland
V(D)J recombination
V(D)J Recombination - genetics
VDJ recombination probabilities
SummonAdditionalLinks – databaseName: Acceso a contenido Full Text - Doaj
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1La9wwEBYhUMilpEmbOi9U6CEtuJEtybKOTdIQliSnTcnNSJZEFoJ32cch_74zknfZDYFecrUeyJqRZkbMfB8h31seLOde5q2sWS5aI3INbnbuXPBWaelbicXJd_fVzYMYPMrHNaovzAlL8MBp4861tKESRgRnlHCSWdQomICHglc-BT5g89aCqXgHK1DMQqeCPAUm89zfjoL_pbjAjMI1ExSR-t9yL19nSa6Znetd8rH3F-nvtM5PZMt3e-RDYpB82ScvcJ5t5HigiLaKD6ozajpHhxSf5CncZ34CYTV1CJDbc1vN6HxMMQtrioOwipGCSRtR16fG4Gx_z65-DHB4nD-KjyL5TIL1hvD6M3m4_jO8vMl7NoW8hX-e57DzrAzScBl0kGXV8sqBgbahAIk4jkQvrdcFV8YzY5G2KrhgFJO2xiCj4F_Idjfu_FdCObRrZnThZClUMMYLHxwEPs4J6ZnOyM_lBjdtDzWOjBfPDYQcKI0mSqOJ0shAYZadJwlh4-1uFyipVReExY4fQFmaXlma_ylLRo6Xcm76szprwCWUStcVFxn5tmqGU4ZyMp0fL2KfogbXV8IUB0ktVivhcI1JpVhG1IbCbCx1s6UbPUUk71oLBEw7fI9_OyI7JZZmMJ6X5THZnk8X_gQcprk9jWfjH4hgGEs
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: Health & Medical Collection
  dbid: 7X7
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwELagCIkL4k1KQUbiAEimTmzH8QnxqqoKOLVob5GfsBJKlt3tof--M4536aKKa-xYjmc845mMv4-QV14kJ0RUzKuOM-mtZAaO2SyEFJ02KnqFl5O_fW-Pz-TJTM1Kwm1Vyio3NjEb6jB6zJEfguNW2nStkO8XfxiyRuHf1UKhcZPcQugyDL70TG9zLOAeO_B407U8DY7zMH6dp_hOC4l1hVccUcbrv-6Q-W-t5BXnc3SP3C2nRvphEvN9ciMOD8jtiUfy4iG5gF3tMtMDRcxVTKuuqB0CPaWYmKdg1eICgmsaECa3MFyt6HqkWIu1xJfwLiMFxzanoRTI4Gg_Xn9-c4Kv5_GzEClS0Ezg3hBkPyJnR19OPx2zwqnAPHzzmsH68yYpK1QySTWtF20AN-0SLF8MAulefDS10DZy65C8KoVkNVeuw1CjFo_J3jAO8SmhAtoNt6YOqpE6WRtlTAHCnxCkitxU5O1mgXtfAMeR9-J3D4EHSqPP0uizNCpQm03nxYSzcX23jyipbRcEx84PxuXPvuy13iiXWmllClbLoLhDIwQ6J1It2tjWFTnYyLkvO3bV_9WvirzcNsNeQznZIY7nuU_dwQFYwRBPJrXYzkSAMVNa84roHYXZmepuyzD_lfG8OyMRNm3__9N6Ru40ePWCC9Y0B2RvvTyPz-FAtHYvstZfAqecD8k
  priority: 102
  providerName: ProQuest
Title Combining genotypes and T cell receptor distributions to infer genetic loci determining V(D)J recombination probabilities
URI https://www.ncbi.nlm.nih.gov/pubmed/35315770
https://www.proquest.com/docview/2645798634
https://www.proquest.com/docview/2641865651
https://pubmed.ncbi.nlm.nih.gov/PMC8940181
https://doaj.org/article/95bf64a4fda74d50b1793c5c3f136e61
Volume 11
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3da9swED_6wWAvY99z1wUN9rANnMmWZFlPY91aSlnLGM3Im5EtqQsUp0tSaP773clOWEoe9hp9xPbvTncnpN8P4F0jQi2EV2mjSp7KxsrUYJqdOhd8rY3yjaLLyecXxelIno3VeAdWYpz9B5xvLe1IT2o0ux7e_Vl-RofH_HWoMRp-8t8nwQ-1kFrtwj6GJE0aDud9nh-XZI12GkU-cq4il-m4u6t3f_xGdIok_tsyz_sHKP-JSCeP4VGfSrIvHfZPYMe3T-FBJy65fAZLdPU6yj8wImKlvdY5s61jl4x26xkudf4GK27miDu3l72as8WU0QGtGQ2iC44Mo92Euf7UDM326_23D2c0PM4fkWWkS9MxfmPl_RxGJ8eXX0_TXmghbfCdFymCwvOgrFDBBJUXjSgcxu46ZAiWE6QB03iTCW09tzUpWgUXrOaqLqn-yMQL2GunrX8FTGC74dZkTuVSB2u99MFhTeScVJ6bBD6uPnDV9CzkJIZxXWE1QmhUEY0qopGgLa0633TkG9u7HRFS6y7EmB1_mM6uqt4BK6PqUEgrg7NaOsVrWpnQEEXIROGLLIHDFc7VygorzBaVNmUhZAJv183ogISTbf30NvbJSsyKFU7xsjOL9ZMIXOGU1jwBvWEwG4-62dJOfkeS79JI4lI7-I__fQ0Pc7qUwUWa54ewt5jd-jeYKi3qAezqsR7A_tHxxY-fg7jhMIiu8Rfa-hmm
linkProvider Scholars Portal
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELZKEYIL4tmmFDASSIAU6sR2HB8QAkq1bbc9bdHeghPbsBJKtrtbof1T_EZmnGTpoopbr_FDo8x4HvbMfIS8rLgvOXcyrmTOYlEZEWtws2NrvSuVlq6SWJx8cpoNzsTRWI43yO--FgbTKnudGBS1bSq8I98Dwy2VzjMuPkzPY0SNwtfVHkKjFYtjt_wFIdv8_eE-8PdVmh58GX0exB2qQFwJJRcxUMBSLw2XXnuZZhXPLBiq0idAmeUIeFI5nXBlHDMlwjd5641isszR2U447HuD3ATDyzCFUI3V6k4HzHEOFrYtA1RgqPfccOLdO8UF5jFeMnwBH-Aqp_bf3MxLxu7gHrnbean0YytW98mGqx-QWy1u5fIhWYIWKQOyBMUer3iNO6emtnRE8SGAghZ1UwjmqcW2vB2i1pwuGoq5XzNchLWTFAzphNouIQd3-_p6_80RLg_7B6GhCHnTNhOHoP4RObuWv_2YbNZN7bYJ5TCumdGJlalQ3hgnnLcQblkrpGM6Im_7H1xUXYNzxNn4WUCgg9woAjeKwI0IxLSfPG37elw97RNyajUFm3GHD83se9Gd7ULL0mfCCG-NElayEpUeyDj3Cc9clkRkt-dz0WmIefFXniPyYjUMZxv5ZGrXXIQ5SQ4Ot4QttlqxWFHCQXlKpVhE1JrArJG6PlJPfoT-4bkW2KZt5_9kPSe3B6OTYTE8PD1-Qu6kWPbBeJymu2RzMbtwT8EZW5TPwgmg5Nt1H7k_hfpLpA
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lj9MwEB4ti0BcEG8CCxgJJEAKTWI7jg8IAaXaFysOu6i34MQ2VEJpabtC_Wv8OmacpGzRitteY8caZd7OzHwAz2ruK86djGtZJLGojYg1htmxtd5VSktXS2pO_nSU756I_bEcb8HvvheGyip7mxgMtZ3WdEc-QMctlS5yLga-K4v4PBy9nf2MCUGK_rT2cBqtiBy41S9M3xZv9obI6-dZNvp4_GE37hAG4loouYyRmiTz0nDptZdZXvPcotOqfIpUWk7gJ7XTKVfGJaYiKCdvvVGJrAoKvFOO516Cy4qj20RdUmO1vt9B11ygt21bAhU67YE7nHj3WnFBNY1nnGDACjgvwP23TvOM4xvdgOtdxMretSJ2E7ZccwuutBiWq9uwQotSBZQJRvNe6Up3wUxj2TGjnwIMLaqbYWLPLI3o7dC1Fmw5ZVQHNqeXqI-SoVOdMNsV59BpX14MX-7T6-H8IECM4G_aweKY4N-Bkwv52ndhu5k27j4wjus6MTq1MhPKG-OE8xZTL2uFdImO4FX_gcu6G3ZOmBs_Skx6iBtl4EYZuBGhyPabZ-2Mj_O3vSdOrbfQYO7wYDr_VnZ6XmpZ-VwY4a1RwsqkIgOI8s59ynOXpxHs9HwuO2uxKP_KdgRP18uo58Qn07jpadiTFhh8SzziXisWa0o4GlKpVBKB2hCYDVI3V5rJ9zBLvNCCRrY9-D9ZT-AqKlt5uHd08BCuZdQBkvA4y3Zgezk_dY8wLltWj4MCMPh60Rr3B7SRT9o
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Combining+genotypes+and+T+cell+receptor+distributions+to+infer+genetic+loci+determining+V%28D%29J+recombination+probabilities&rft.jtitle=eLife&rft.au=Russell%2C+Magdalena+L&rft.au=Souquette%2C+Aisha&rft.au=Levine%2C+David+M&rft.au=Schattgen%2C+Stefan+A&rft.date=2022-03-22&rft.issn=2050-084X&rft.eissn=2050-084X&rft.volume=11&rft_id=info:doi/10.7554%2FeLife.73475&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2050-084X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2050-084X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2050-084X&client=summon