Evidence map›Paper›PMID 20568250›Full record

ArticleAmerican journal of hematology2010

Common single nucleotide polymorphisms in immunoregulatory genes and multiple myeloma risk among women in Connecticut.

Kyoung-Mu Lee, Dalsu Baris, Yawei Zhang, H Dean Hosgood, Idan Menashe, Meredith Yeager, Shelia Hoar Zahm, Sophia S Wang, Mark P Purdue, Stephen Chanock and 3 more

Open access · greenAbstract read
In one paragraph

Article in American journal of hematology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. International journal of molecular sciences · 2025
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  15. Lymphoid malignancies in U.S. Asians: incidence rate differences by birthplace and acculturation.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2011
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 1 country.

Kyoung-Mu LeeDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA. kmlee92@snu.ac.kr
Dalsu Baris
Yawei Zhang
H Dean Hosgood
Idan Menashe
Meredith Yeager
Shelia Hoar Zahm
Sophia S Wang
Mark P Purdue
Stephen Chanock
Tongzhang Zheng
Nathaniel Rothman
Qing Lan
National Cancer Institute · USNational Institutes of Health · USYale University · USCity of Hope · USDivision of Cancer Epidemiology and Genetics

Funding

Occupational and Environmental Determinants of Cancer among Women and MinoritiesZIACP010123 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI HOFMANN, JONATHAN · 2009 to 2025
$8.3M
NCI NIH HHS N01 CO012400
6 · The paper itself

Abstract

In light of the relationship between immune system dysregulation and multiple myeloma (MM) risk, we investigated whether genetic variation in 92 immune function genes among 77 gene regions are associated with MM susceptibility in a population-based case-control study (108 cases and 482 controls) conducted among Caucasian women in Connecticut. Tagging single-nucleotide polymorphisms (SNPs; N = 870) were selected using a pairwise linkage-disequilibrium based algorithm. Odds ratios (ORs) and 95% confidence intervals (CIs) for SNP genotypes were estimated using unconditional logistic regression. Tests of association for gene regions were conducted using the minP test. We applied the false discovery rate (FDR) method to the minP test results as a means of controlling for multiple comparisons. The CD4 gene region located on 12p13-q13 (minP = 0.0009), had an FDR value <0.1. In this region, a total of six tag SNPs in two genes (CD4 and LAG3) were significantly associated with MM risk (P(trend)<0.05), with the strongest association observed for the CD4 variant rs11064392 (OR(AG/GG) = 2.53, 95% CI = 1.59-4.02). Our findings suggest that genetic variation in CD4 may influence susceptibility to MM. Additional studies are needed to replicate these findings and, more generally, to explore the manner in which genes and receptors may influence the pathogenesis of this poorly understood malignancy.

Indexed as

Genes, MHC Class IIPolymorphism, Single NucleotideAgedAntigens, CDCase-Control StudiesCD4 AntigensChromosomes, Human, Pair 12ConnecticutFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansLinkage DisequilibriumLymphocyte Activation Gene 3 ProteinMiddle AgedMultiple MyelomaAntigens, CDCD4 AntigensLag3 protein, humanLymphocyte Activation Gene 3 Protein

Identifiers

PMID20568250
PMCPMC2910184
OpenAlexW1963783444

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.