HLA associations of anti-beta2 glycoprotein I response in a Greek cohort with antiphospholipid syndrome and meta-analysis of four ethnic groups is a research paper published in Human Immunology (1999). On theSindex it has a DataRank of 0.360. It has been cited 10 times.
Using molecular typing, we evaluated the strength of class II HLA associations in 67 Greek patients with antiphospholipid syndrome (APS), 54 of whom had antibodies against beta2-glycoprotein I (beta2GPI), as compared to 246 controls. To further clarify and delineate HLA associations of the beta2GPI response, we combined these data with individual patient data from three other ethnic groups including an additional 74 patients with beta2GPI response and 403 ethnically matched controls of white, African-American, and Mexican-American origin in a formal meta-analysis. The major alleles associated with anti-beta2GPI response are HLA-DQA1*03 (in particular *0301) and the HLA-DRB1*1302-DQB1*0604 haplotype, while protection against developing an anti-beta2GPI response is related primarily to the HLA-DRB1*0101-DQA1*0101 haplotype and the HLA-DRB1*1101 allele. These effects are not significantly heterogeneous across ethnic groups. The previously observed association with HLA-DQB1*0302 may simply reflect linkage disequilibrium with HLA-DQA1*0301 and the previously reported HLA-DQB1*06 effect is limited to HLA-DQB1*0604/0605, while HLA-DQB1*0602 is unlikely to be important. The meta-analysis clearly documents that the anti-beta2GPI response is determined by a few specific class II alleles and haplotypes.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.360
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 100% comes from its base citations and 0% from the citation network.
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.