Human leukocyte antigen associations with renal function among ethnic minorities in the United Kingdom.

Human leukocyte antigens (HLA) have been associated with renal function, but previous studies report contradictory findings. There has been a lack of research into how HLA affects renal function in Black, Asian and Minority Ethnic (BAME) people in the UK, despite BAME people being disproportionately affected by renal dysfunction. This study included >27 000 UK Biobank subjects of six ethnicities (>12 100 Irish, >5400 Indian, >4000 Black Caribbean, >3000 Black African, >1600 Pakistani, and >1400 Chinese) aged 39 to 73. Subjects' high-resolution HLA genotypes were imputed using HLA*IMP:02 software. Regression analysis was used to compare 108 imputed HLA alleles with two measures of estimated glomerular filtration rate (eGFR): one based on serum creatinine; one based on serum cystatin. Secondary analysis compared CKD stage 2 subjects to healthy controls. Nine imputed HLA alleles were associated with eGFR (adjusted P < .05). Six associations were based on creatinine in Black African subjects: HLA-B*53:01 (beta = -2.628, adjusted P = 4.69 × 10-4 ); C*04:01 (beta = -1.667, adjusted P = .0269); DPA1*02:01 (beta = -1.569, adjusted P = .0182); and DPA1*02:02 (beta = -1.716, adjusted P = .0251) were linked to decreased renal function, while DRB1*03:01 (beta = 3.200, adjusted P = 3.99 × 10-3 ) and DPA1*01:03 (beta = 2.276, adjusted P = 2.31 × 10-5 ) were linked to increased renal function. Two of these (HLA-B*53:01 and C*04:01) are commonly inherited together. In Irish subjects, HLA-DRB1*04:01 (beta = 1.075, adjusted P = .0138) was linked to increased eGFR (based on cystatin); in Indian subjects, HLA-DRB1*03:01 (beta = -1.72, adjusted P = 4.78 × 10-3 ) and DQB1*02:01 (beta = -1.755, adjusted P = 2.26 × 10-3 )were associated with decreased eGFR (based on cystatin). No associations were found in the other three ethnic groups. Nine HLA alleles appear to be associated with kidney function in BAME people in the UK. This could have applications for the diagnosis and treatment of renal disease and could help reduce health inequalities in the UK.

Impact of HLA polymorphisms among cadaveric donors on kidney graft allocation.

This study provides data on HLA-A, -B, and -DRB1 frequencies among 861 end-stage renal disease (ESRD) patients from Croatia and estimates the benefit of the kidney exchange program by comparing HLA distribution and assessing HLA mismatches (MMs) within a group of ESRD patients who received kidney grafts from 707 cadaveric donors (422 from Croatia and 285 from Eurotransplant). Patients positive for HLA-B*07, -B*08, or -B*44 genes more often received a kidney from ET donors, while HLA-DRB1*11 and -DRB1*16 positive patients more frequently received a kidney from CRO donors. ABDR MM 000 was more frequently present in the case of transplantation from ET donors, while MM 222 was significantly more frequent when the donor was from Croatia. Sensitized patients received kidney more frequently from ET donors (P < .0001). A large pool of organ donors with different HLA gene distributions allows for a higher probability of transplantation from HLA highly matched donor.

The genetics of rheumatoid arthritis.

RA is a chronic systemic inflammatory disease that primarily affects the small joints of the hands and feet, and results in a mean reduction in life expectancy of 3-10 years. RA is a multigene disorder with a substantial genetic component and a heritability estimate of 60%. Large-scale Genome-Wide Association Studies (GWAS) and meta-analyses have revealed common disease-associated variants in the population that may contribute cumulatively to RA pathogenesis. This review identifies the most significant genetic variants associated with RA susceptibility to date, with particular focus on the contribution of the HLA class II genes across different ethnic groups. Also discussed are the potential applications of pharmacogenomics to RA management by identifying polymorphisms associated with variation in treatment response or toxicity. The use of genetic variants to guide treatment strategy has the potential to not only reduce National Health Service costs, but also drastically improve patient experience and quality of life.

The role of socioeconomic status in the susceptibility to develop systemic lupus erythematosus in Mexican patients.

INTRODUCTION: Systemic lupus erythematosus (SLE) is an autoimmune inflammatory disorder for which Major Histocompatibility Complex (MHC) genes are well-identified as risk factors. SLE patients have different phenotypes or clinical presentations, which vary among Mexicans. This variation could be explained by ethnicity and admixture. Since socioeconomic status probably limits and change the patterns of migration, this factor could favor inbreeding and homogamy in some geographic areas. Consequently, it could alter or restrict the possibilities of admixture too. Therefore, the socioeconomic status may also have implications in the susceptibility and the clinical heterogeneity of SLE in Mexican patients. METHODS: One hundred twenty-three SLE patients and 234 healthy individuals with Mexican admixed ancestry were recruited. HLA alleles were analyzed using the HLA typing method based on Sequence-based typing (SBT). RESULTS: As expected, it was found an increased frequency of the HLA-DRB1*03:01 allele in all socioeconomic groups when compared with healthy individuals. The susceptibility allele found in the low-income SLE patients was HLA-DRB1*04:05 whereas, the susceptibility alleles for the high-income SLE patients were HLA-DRB1*07:01 (pC = 0.03, OR = 2.0) and HLA-DRB1*11:04 (pC = 0.0004, OR = 5.1). Additionally, the frequencies of two protective alleles HLA-DRB1*14:06 (pC = 0.01, OR = 0.28) and HLA-DRB1*16:02 (pC = 0.04, OR = 0.22) were found diminished. These findings correlate with the admixture differences between low-income and high-income SLE patients. The clinical manifestations showed a different distribution between both groups. Arthritis and neurological disorder were prevalent in low-income SLE patients, while the hematological disorder was prevalent in high-income SLE patients. CONCLUSIONS: These findings suggest that HLA class II DRB1 genes contribute to the susceptibility and protection to develop SLE differently depending on socioeconomic status. Due to this, the clinical manifestations vary among patients and it could be related to different admixture charge.Key Point• HLA class II DRB1 genes contribute to the susceptibility and protection to develop SLE differently depending on socioeconomic status.

Assessment by Extended-Coverage Next-Generation Sequencing Typing of DPA1 and DPB1 Mismatches in Siblings Matching at HLA-A, -B, -C, -DRB1, and -DQ Loci.

Allogeneic hematopoietic stem cell transplant from an HLA matched sibling donor is usually the preferable choice. The use of next-generation sequencing (NGS) for HLA typing in clinical practice provides broader coverage and higher resolution of HLA genes. We evaluated the frequency of DPB1 crossing-over events among patients and potential related donors typed with NGS. From July 2016 to January 2018, 593 patients and 2385 siblings were typed. We evaluated sibling matching status in 546 patients, and 44.8% of these patients had siblings that matched at HLA-A, -B, -C, -DRB1, and -DQB1 loci. In 306 patient-HLA matched sibling pairs, we found 6 pairs (1.96%) with 1 DPB1 mismatch, and 5 of these pairs included an additional mismatch in DPA1. No additional mismatches were observed at the low expression loci. Using the T cell epitope algorithm, 4 of these DP mismatches were classified as permissive, 1 as nonpermissive in the host-versus-graft direction, and 1 as nonpermissive in the graft-versus-host direction. The frequency of DPB1 and DPA1 mismatches is low, and their impact in related donor transplants is not well established. Although DP typing in related transplants goes beyond guidelines, it is especially relevant for sensitized patients. NGS-based HLA typing provides full gene coverage, and its use in clinical practice can enable better donor selection.

HLA- and genotype-based risk assessment model to identify infantile onset pompe disease patients at high-risk of developing significant anti-drug antibodies (ADA).

In Pompe disease, anti-drug antibodies (ADA) to acid alpha-glucosidase (GAA) enzyme replacement therapy contribute to early mortality. Assessing individual risk for ADA development is notoriously difficult in (CRIM-positive) patients expressing endogenous GAA. The individualized T cell epitope measure (iTEM) scoring method predicts patient-specific risk of developing ADA against therapeutic recombinant human GAA (rhGAA) using individualized HLA-binding predictions and GAA genotype. CRIM-negative patients were six times more likely to develop high ADA titers than CRIM-positive patients in this retrospective study, whereas patients with high GAA-iTEM scores were 50 times more likely to develop high ADA titers than patients with low GAA-iTEM scores. This approach identifies high-risk IOPD patients requiring immune tolerance induction therapy to prevent significant ADA response to rhGAA leading to a poor clinical outcome and can assess ADA risk in patients receiving replacement therapy for other enzyme or blood factor deficiency disorders.

HLA genes in Barranquilla (North Colombia): Searching for cryptic Amerindian genes.

America First Inhabitants population (Amerindians, Na Dene and Eskimos) underwent a drastic population reduction and gene exchange after Europeans and Africans arrival after 1492 AD. Barranquilla population may be a good model to study present day population admixture in South America. HLA-A, -B and -DRB1 DNA typing has been performed in 188 unrelated individuals originated in the area and speak Spanish language; they showed apparent European/African and mixed characters. HLA genetic European/African features were found and only 1.85% Amerindian one. This contrasts with neighboring Cuban population where 10% HLA Amerindian characters appear.

Clinical, Viral and Genetic Characteristics of Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) in Shanghai, China.

DRESS is one of the most severe drug reactions. The aim of this retrospective study was to summarize the clinical presentation, genetic predisposition and prognostic factors of DRESS. A total of 52 patients with DRESS, who were inpatients at a medical referral centre in Shanghai, China, from January 2011 to December 2016, were analysed retrospectively. All the patients had skin eruption, 83% had liver involvement, and ≤10% had other organ involvement. Mean cost of hospitalization was US$5,511±3,050. The 3 most common causative agents were allopurinol (18/52; 35%), salazosulphapyridine (11/52; 21%) and carbamazepine (5/52; 10%). HLA-B*5801 and HLA-B*1302 were associated with allopurinol-induced DRESS. HLA-B*1301 was related to salazosulphapyridine-induced DRESS. The mortality rate was 6% (3/52). Epstein-Barr virus DNA was found in 10 patients (19%) and indicated a poor prognosis. Human herpes virus 6 DNA was detected in 17 patients (33%) and was associated with autoimmune sequelae. Due to its high medical cost and sometimes poor prognosis, prevention of DRESS should be a high priority.

Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity.

Genomic analysis of longevity offers the potential to illuminate the biology of human aging. Here, using genome-wide association meta-analysis of 606,059 parents' survival, we discover two regions associated with longevity (HLA-DQA1/DRB1 and LPA). We also validate previous suggestions that APOE, CHRNA3/5, CDKN2A/B, SH2B3 and FOXO3A influence longevity. Next we show that giving up smoking, educational attainment, openness to new experience and high-density lipoprotein (HDL) cholesterol levels are most positively genetically correlated with lifespan while susceptibility to coronary artery disease (CAD), cigarettes smoked per day, lung cancer, insulin resistance and body fat are most negatively correlated. We suggest that the effect of education on lifespan is principally mediated through smoking while the effect of obesity appears to act via CAD. Using instrumental variables, we suggest that an increase of one body mass index unit reduces lifespan by 7 months while 1 year of education adds 11 months to expected lifespan.Variability in human longevity is genetically influenced. Using genetic data of parental lifespan, the authors identify associations at HLA-DQA/DRB1 and LPA and find that genetic variants that increase educational attainment have a positive effect on lifespan whereas increasing BMI negatively affects lifespan.

[POPULATION AND CLUSTER APPROACH TO ASSESSMENT OF REPRODUCTIVE HEALTH OF WOMEN].

The purpose of this study was to explore the possibility of using a population approach to assessing the risk of reproductive health disorders in women of childbearing age. We observed 240 clinically healthy women aged 20 to 43 years, half of them lived in the Middle Black Earth region of Russia, and 120 women lived in Tajikistan. The study identified population differences in women with different ethnic backgrounds and regions of residence according to a set of genetic, hormonal, and immune signs. All women underwent venous blood sampling for the purpose of HLA typing by molecular genetic analysis and determining the range of normative values ​​of hormonal and immune status parameters. DNA samples were obtained from peripheral blood lymphocytes using reagent kits and a protocol for isolating DNA from various biological materials from DLAtomTM DNAPrep 100 (Russia). Hormonal status was studied in terms of follicle-stimulating hormone, luteinizing hormone, prolactin, estradiol, progesterone, 17-OH-progesterone; Thyroid hormones - thyroid-stimulating hormone, total triiodothyronine, total thyroxine; Androgens - testosterone, dihydroepiandrosterone; Steroid hormone-cortisol. In order to exclude the variability of the data, the examination was carried out on the 3-5th days of the menstrual cycle: luteinizing hormone, follicle-stimulating hormone, estradiol, prolactin, testosterone and on the 20-22nd Day of the progesterone cycle. Statistical data processing was carried out on the basis of SPSS programs and included descriptive and comparative nonparametric statistics, discriminant, regression analysis, one - factorial analysis of variance, calculation of 95% confidence intervals, construction of ROC curves. The study included the determination of allelic variants at the three loci of the HLA-D genes (HLA-DRB1, HLA-DQA1, HLA-DQB1) controlling the immune response. Population differences in the locus of the HLA-DRB1 gene were determined. The HLA-DRB1 * 08 and HLA-DRB1 * 12 alleles are found in the Russian women's population, and the HLA-DRB1 * 04 and HLA-DRB1 * 17 alleles are more reliably detected in the Tajik women's population, while the HLA-DRB1 * 04 allele Is associated with a higher incidence of miscarriage. The population characteristics of the HLA-DQA1 gene locus were also established. In the group of women of the Russian population, the incidence of HLA-DQA1 * 0101 and HLA-DQA1 * 0103 alleles is significantly higher, of which the former is associated with protective properties for reproductive pathology, and the latter, on the contrary, with miscarriage. At the same time, the alleles HLA-DQA1 * 0201 and HLA-DQA1 * 0301 were significantly more often detected in the compared with the population of Tajik women. As in the previous case, for the HLA-DQA1 * 0201 allele reproductive health disorders are not characteristic, and in the case of the HLA-DQA1 * 0301 allele they accompany it. Our studies have revealed that there are differences between the populations of Russian and Tajik women in a number of parameters of the hormonal and immune status, as well as at the level of allelic variants of genes that control the immune response. The population approach, based on the use of discriminant analysis, is a highly effective way of grouping women according to their reproductive health status and the risk factors that caused reproductive damage. The risk factors that caused the reproductive failure are different in combination and manifestation in the populations of Russian and Tajik women, except for the adverse allelic variants of the HLA-DRB1 * 04 and HLA-DQA1 * 0103 genes, which are the same in both populations. The obtained data also show that in different populations in the evaluation of reproductive health a differentiated approach is needed both to establish physiological norms in these categories of parameters and to assess the reproductive health of women.

Estimation of optimal donor number in Bone Marrow Donor Registry: Hong Kong's experience.

Better outcome for hematopoietic stem cell transplantation (HSCT) requires optimal matching between donor and recipient at the HLA-A, -B, -C, and -DRB1 loci. This study estimates the likelihood of identifying HLA matched donors in Hong Kong. 7595 volunteer unrelated Chinese donors at the Hong Kong Bone Marrow Donor Registry were typed with HLA-A, -B, -C and -DRB1 genotypes. The matching probabilities for 8/8 and 7/8 HLA match via the matching models were determined. Based on current 100,000 donors in the HKBMDR, the matching probabilities are 45% at 8/8 HLA match and 65% at 7/8 match. By increasing the registry to 200,000, the likelihoods of match become 54% and 73% at 8/8 and 7/8 match stringencies respectively. Our findings may be helpful in planning future donor recruitment and HLA typing. A cost-effective Bone Marrow Donor Registry with a larger pool of donors could increase chance of matching and the success of HSCT.

Distribution of HLA-A, -B and -DRB1 antigenic groups and haplotypes from the Brazilian bone marrow donor registry (REDOME).

To improve assistance for patients awaiting a bone marrow transplant from an unrelated donor, it is important to genetically characterize the Brazilian volunteer bone marrow donors registry (REDOME). Our objective was to describe the antigenic groups and haplotype frequencies of HLA-A, HLA-B and HLA-DRB1 in the five regions of Brazil and by self-reported ethnicity groups using the REDOME data. Our study included 3,038,286 individuals. HLA antigenic groups and haplotype frequencies were estimated using an Expectation-Maximization (EM) algorithm. All described HLA-A*, HLA-B* and HLA-DRB1* groups were identified in this study. A*02 (25.9%), B*35 (11.8%) and DRB1*13 (13.4%) are the most frequent antigenic groups in REDOME, and the A*01-B*08-DRB1*03 haplotype is the most frequent in the registry. The antigenic group and haplotype frequency data obtained in this study could be helpful for national donor recruitment strategies across the country.

A Cross-Validation Design Using Age and HLA Alleles for the Assessment of Clinical Schizophrenia Risk.

BACKGROUND: Schizophrenia (SCH) is a highly heritable disease that occurs mostly in young adults. Genetic factors usually play important roles in the onset of SCH. Human leukocyte antigen complex (HLA) genes are considered to be the important genetic predisposition factor and the genetic markers in SCH and other diseases. METHODS: To screen SCH-associated HLA alleles, alleles for HLA-DRB1 and HLA-DQB1 loci were determined using the PCR-SSP typing kit. Statistically significant differences between observed and expected frequencies of allele combinations were identified. To further determine allele combinations related to SCH, an analysis of the age of onset of SCH in the patient who carried an allele or specific allele combination was conducted. Finally, a crossvalidation of the two sets of analytical results was carried out. Statistical differences in frequency values between the SCH group and the control population were observed for five HLA alleles. RESULTS: The results of cross-validation showed that there was a significant difference for a combination of DRB1*07 and DQB1*02, whereas no significant differences were observed for the other four alleles. CONCLUSIONS: We suggested that the combination of DRB1*07-DQB1*02 may be related to SCH susceptibility. The cross-validation design using age and HLA alleles could enable additional discoveries pertaining to the relationship between specific HLA allele combinations at different loci and the onset of complex diseases.

Cardiovascular risk assessment in patients with rheumatoid arthritis: The relevance of clinical, genetic and serological markers.

Cardiovascular disease (CV) is the most common cause of premature mortality in patients with rheumatoid arthritis (RA). This is the result of an accelerated atherosclerotic process. Adequate CV risk stratification has special relevance in RA to identify patients at risk of CV disease. However, current CV risk screening and management strategies underestimate the actual CV risk in RA. Consequently, the search for additional tools that may help to identify those patients at high CV risk has become a key objective in the last years. In this regard, non-invasive surrogates, such as carotid ultrasonography, have been found to be excellent predictors of future CV events. In addition, several studies have revealed the relevance of a genetic component in the development of CV disease in RA patients. Besides an association with HLA-DRB1* shared epitope alleles other gene polymorphisms located inside and outside the HLA seem to influence the risk of cardiovascular disease in RA. Moreover, serum levels of some metabolic syndrome-related biomarkers, adipokines such as adiponectin and biomarkers of endothelial cell activation and inflammation such as Osteoprotegerin and Asymmetric dimethylarginine have recently been found useful for the prediction of CV disease in these patients. An update of the current knowledge on these potential markers, especially focused on new genetic and serological biomarkers is shown in this review.

HLA-DRB1 Amino Acid Positions 11/13, 71, and 74 Are Associated With Inflammation Level, Disease Activity, and the Health Assessment Questionnaire Score in Patients With Inflammatory Polyarthritis.

OBJECTIVE: Rheumatoid arthritis (RA) susceptibility HLA-DRB1 haplotypes based on amino acid positions 11/13, 71, and 74 predict radiographic damage. The mechanism of action is unknown, but it may be mediated by inflammation. We undertook this study to systematically investigate the effect of these amino acids on nonradiographic measures of disease activity/outcomes. METHODS: We tested the association of RA susceptibility HLA-DRB1 amino acids with the C-reactive protein (CRP) level, the tender joint count (TJC), the swollen joint count (SJC), the Disease Activity Score in 28 joints (DAS28), and the Health Assessment Questionnaire (HAQ) score in the Norfolk Arthritis Register (NOAR) and Early Rheumatoid Arthritis Study (ERAS) cohorts. Longitudinal modeling of disease activity/outcomes was performed using generalized linear latent and mixed models. Mediation analysis was performed using directed acyclic graphs to investigate the paths from genetic factors to outcome. RESULTS: A total of 2,158 patients were available for analysis in the NOAR cohort. Valine at position 11 showed the strongest association with the CRP level (P = 2.21 × 10-6 ), the SJC (P = 7.51 × 10-6 ), and the DAS28 (P = 0.002); it was marginally associated with the HAQ score (P = 0.044) but not with the TJC. The same amino acid and haplotype risk hierarchy observed for susceptibility and radiographic severity was observed for the CRP level and nonradiographic measures of disease activity/outcome, apart from the TJC. The results were replicated in the ERAS cohort. The effect of valine at position 11 on the SJC was mainly mediated by anti-citrullinated protein antibody status, the effect of which was mainly mediated by inflammation; however, the effect of valine at position 11 was also independent of the CRP level (P = 1.6 × 10-4 ). CONCLUSION: Genetic markers of RA susceptibility located within HLA-DRB1 determine the levels of clinical and systemic inflammation independently, and also determine all objective measures of disease activity and outcome.

Assessment of the genetic basis of rosacea by genome-wide association study.

Rosacea is a common, chronic skin disease that is currently incurable. Although environmental factors influence rosacea, the genetic basis of rosacea is not established. In this genome-wide association study, a discovery group of 22,952 individuals (2,618 rosacea cases and 20,334 controls) was analyzed, leading to identification of two significant single-nucleotide polymorphisms (SNPs) associated with rosacea, one of which replicated in a new group of 29,481 individuals (3,205 rosacea cases and 26,262 controls). The confirmed SNP, rs763035 (P=8.0 × 10(-11) discovery group; P=0.00031 replication group), is intergenic between HLA-DRA and BTNL2. Exploratory immunohistochemical analysis of HLA-DRA and BTNL2 expression in papulopustular rosacea lesions from six individuals, including one with the rs763035 variant, revealed staining in the perifollicular inflammatory infiltrate of rosacea for both proteins. In addition, three HLA alleles, all MHC class II proteins, were significantly associated with rosacea in the discovery group and confirmed in the replication group: HLA-DRB1*03:01 (P=1.0 × 10(-8) discovery group; P=4.4 × 10(-6) replication group), HLA-DQB1*02:01 (P=1.3 × 10(-8) discovery group; P=7.2 × 10(-6) replication group), and HLA-DQA1*05:01 (P=1.4 × 10(-8) discovery group; P=7.6 × 10(-6) replication group). Collectively, the gene variants identified in this study support the concept of a genetic component for rosacea, and provide candidate targets for future studies to better understand and treat rosacea.

Assessment of type 1 diabetes risk conferred by HLA-DRB1, INS-VNTR and PTPN22 genes using the Bayesian network approach.

BACKGROUND: Determining genetic risk is a fundamental prerequisite for the implementation of primary prevention trials for type 1 diabetes (T1D). The aim of this study was to assess the risk conferred by HLA-DRB1, INS-VNTR and PTPN22 single genes on the onset of T1D and the joint risk conferred by all these three susceptibility loci using the Bayesian Network (BN) approach in both population-based case-control and family clustering data sets. METHODOLOGY/PRINCIPAL FINDINGS: A case-control French cohort, consisting of 868 T1D patients and 73 French control subjects, a French family data set consisting of 1694 T1D patients and 2340 controls were analysed. We studied both samples separately applying the BN probabilistic approach, that is a graphical model that encodes probabilistic relationships among variables of interest. As expected HLA-DRB1 is the most relevant susceptibility gene. We proved that INS and PTPN22 genes marginally influence T1D risk in all risk HLA-DRB1 genotype categories. The absolute risk conferred by carrying simultaneously high, moderate or low risk HLA-DRB1 genotypes together with at risk INS and PTPN22 genotypes, was 11.5%, 1.7% and 0.1% in the case-control sample and 19.8%, 6.6% and 2.2% in the family cohort, respectively. CONCLUSIONS/SIGNIFICANCE: This work represents, to the best of our knowledge, the first study based on both case-control and family data sets, showing the joint effect of HLA, INS and PTPN22 in a T1D Caucasian population with a wide range of age at T1D onset, adding new insights to previous findings regarding data sets consisting of patients and controls <15 years at onset.

The role of HLA-matched unrelated transplantation in adult patients with Ph chromosome-negative ALL in first remission. A decision analysis.

The efficacy of unrelated transplantation for patients with ALL who lack an HLA-matched sibling remains unclear. We performed a decision analysis to determine the efficacy of myeloablative transplantation from a genetically HLA-A, -B, -DRB1 allele-matched unrelated donor for patients with Ph chromosome-negative ALL aged 21-54 years. The transition probabilities were estimated from the Japan Adult Leukemia Study Group studies (ALL93; n=80, ALL97; n=82), and the Japan Marrow Donor Program database (transplantation in first CR (CR1): n=177). The primary outcome measure was the 10-year survival probability with or without quality of life (QOL) adjustment. Subgroup analyses were performed according to risk stratification based on the WBC count and cytogenetics, and according to age stratification. In all patients, unrelated transplantation in CR1 was shown to be superior in analyses both with and without QOL adjustment (40.8 vs 28.4% and 43.9 vs 29.0%, respectively). A similar tendency was observed in all subgroups. The decision model was sensitive to the probability of leukemia-free survival following chemotherapy and the probability of survival after transplantation in standard-risk and higher-aged patients. Unrelated transplantation in CR1 improves the long-term survival probability in patients who lack an HLA-matched sibling. However, recent improvements in treatment strategies may change this result.