PMID- 32783273
OWN - NLM
STAT- MEDLINE
DCOM- 20210525
LR  - 20240216
IS  - 1098-2272 (Electronic)
IS  - 0741-0395 (Print)
IS  - 0741-0395 (Linking)
VI  - 44
IP  - 8
DP  - 2020 Nov
TI  - Joint testing of donor and recipient genetic matching scores and recipient 
      genotype has robust power for finding genes associated with transplant outcomes.
PG  - 893-907
LID - 10.1002/gepi.22349 [doi]
AB  - Genetic matching between transplant donor and recipient pairs has traditionally 
      focused on the human leukocyte antigen (HLA) regions of the genome, but recent 
      studies suggest that matching for non-HLA regions may be important as well. We 
      assess four genetic matching scores for use in association analyses of transplant 
      outcomes. These scores describe genetic ancestry distance using 
      identity-by-state, or genetic incompatibility or mismatch of the two genomes and 
      therefore may reflect different underlying biological mechanisms for donor and 
      recipient genes to influence transplant outcomes. Our simulation studies show 
      that jointly testing these scores with the recipient genotype is a powerful 
      method for preliminary screening and discovery of transplant outcome related 
      single nucleotide polymorphisms (SNPs) and gene regions. Following these joint 
      tests with marginal testing of the recipient genotype and matching score 
      separately can lead to further understanding of the biological mechanisms behind 
      transplant outcomes. In addition, we present results of a liver transplant data 
      analysis that shows joint testing can detect SNPs significantly associated with 
      acute rejection in liver transplant.
CI  - (c) 2020 Wiley Periodicals LLC.
FAU - Arthur, Victoria L
AU  - Arthur VL
AUID- ORCID: 0000-0003-2760-5053
AD  - Department of Biostatistics, Epidemiology and Informatics, Perelman School of 
      Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
FAU - Guan, Weihua
AU  - Guan W
AD  - Division of Biostatistics, School of Public Health, University of Minnesota, 
      Minneapolis, Minnesota.
FAU - Loza, Bao-Li
AU  - Loza BL
AD  - Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, 
      Pennsylvania.
FAU - Keating, Brendan
AU  - Keating B
AD  - Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, 
      Pennsylvania.
FAU - Chen, Jinbo
AU  - Chen J
AD  - Department of Biostatistics, Epidemiology and Informatics, Perelman School of 
      Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
LA  - eng
GR  - R01 ES016626/ES/NIEHS NIH HHS/United States
GR  - R01 HL138306/HL/NHLBI NIH HHS/United States
GR  - R21 ES020811/ES/NIEHS NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
DEP - 20200811
PL  - United States
TA  - Genet Epidemiol
JT  - Genetic epidemiology
JID - 8411723
RN  - 0 (HLA Antigens)
SB  - IM
MH  - Computer Simulation
MH  - Confidence Intervals
MH  - Data Analysis
MH  - Female
MH  - Gene Frequency/genetics
MH  - Genotype
MH  - HLA Antigens/genetics
MH  - *Histocompatibility Testing
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Models, Genetic
MH  - Odds Ratio
MH  - Polymorphism, Single Nucleotide/genetics
MH  - Probability
MH  - *Tissue Donors
MH  - *Transplantation
PMC - PMC7658035
MID - NIHMS1640671
OTO - NOTNLM
OT  - genetic matching scores
OT  - joint testing
OT  - transplant genetics
COIS- Conflict of Interests The authors declare that there are no conflicts of 
      interest.
EDAT- 2020/08/13 06:00
MHDA- 2021/05/26 06:00
PMCR- 2021/11/01
CRDT- 2020/08/13 06:00
PHST- 2020/03/27 00:00 [received]
PHST- 2020/07/09 00:00 [revised]
PHST- 2020/07/31 00:00 [accepted]
PHST- 2020/08/13 06:00 [pubmed]
PHST- 2021/05/26 06:00 [medline]
PHST- 2020/08/13 06:00 [entrez]
PHST- 2021/11/01 00:00 [pmc-release]
AID - 10.1002/gepi.22349 [doi]
PST - ppublish
SO  - Genet Epidemiol. 2020 Nov;44(8):893-907. doi: 10.1002/gepi.22349. Epub 2020 Aug 
      11.