Socioeconomic Position is Positively Associated with Monoclonal Gammopathy of Undetermined Significance in a Population-based Cohort Study

Schmidt, Börge; Debold, Elisabeth; Frank, Mirjam; Arendt, Marina; Dragano, Nico; Dürig, Jan; Moebus, Susanne; Erbel, Raimund; Jöckel, Karl‐Heinz; Eisele, Lewin

doi:10.1007/s00277-019-03825-5

Cited by 9 publications

(13 citation statements)

References 28 publications

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“…Also, MGUS may be underdiagnosed in our setting due to a lack of knowledge or awareness among general physicians 18 , leading to monoclonal gammopathies being diagnosed in advanced stages 19 . Since our hematologic referral center provides public care for a low-and middle-income population, we believe that the low rate of MGUS found could also be due to a positive association between socioeconomic disparities and MGUS, as reported by Schmidt et al 20 . Finally, we also believe there may be ethnic and genetic disparities across populations.…”

Section: Discussionmentioning

confidence: 56%

Electrophoretical distribution of serum monoclonal protein and underlying causes. Data from a referral center in Mexico

Tarín‐Arzaga¹,

Cruz²,

Martínez-González³

et al. 2023

RMU

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Background: Monoclonal gammopathies are a group of disorders characterized by an overproduction of monoclonal immunoglobulin. Detection and quantification of monoclonal components using serum protein electrophoresis (SPE) for screening is the initial step in the evaluation of monoclonal gammopathies. This study aimed to describe the electrophoretic patterns of Hispanic patients with suspected monoclonal gammopathy in our hematological disease referral center. Material and methods: All SPE tests performed between January 2013 and November 2017 at the Hematology Service Laboratory in the "Dr. José Eleuterio González" University Hospital were collected in which monoclonal gammopathy was suspected. Age, gender, and diagnosis, when available, were recorded. We described the immunoelectrophoretic patterns by SPE according to the type of gammopathy. Results: A total of 1461 SPE results were collected. Sixty-four percent of the patients had an abnormal electrophoretic pattern, 19.5% a polyclonal gammopathy, and 44.7% exhibited at least one monoclonal component (monoclonal gammopathy). The isotype most found was IgG in 108 (52.9%), followed by IgA in 40 (19.6%) serum samples, and kappa was the most frequently involved light chain. In 86% of patients, we were able to establish a definitive diagnosis. The most common monoclonal gammopathy was multiple myeloma in 89%, and only one case of monoclonal gammopathy of undetermined significance was diagnosed. Conclusion: Our group of patients exhibits different electrophoretic patterns from previous reports. Multiple myeloma is the most common monoclonal gammopathy, and monoclonal gammopathy of undetermined significance possibly goes underdiagnosed.

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Section: Discussionmentioning

confidence: 56%

Electrophoretical distribution of serum monoclonal protein and underlying causes. Data from a referral center in Mexico

Tarín‐Arzaga¹,

Cruz²,

Martínez-González³

et al. 2023

RMU

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“…As SEP usually has no direct effect on disease, but influences disease development indirectly via risk factors that are unequally distributed across SEP groups 23 , results of the present analysis indicate that MGUS risk factors more prevalent in higher SEP groups may also impact the expression of MGUS-related genetic effects. However, since the inclusion of potential MGUS risk factors that were available for analysis did not explain the observed GRS MGUS2017 by education interaction, other risk factors for MGUS not included in the analysis may be underlying the observed interaction effect.…”

Section: Discussionmentioning

confidence: 64%

“…Although preventable risk factors for MGUS are still largely unknown, inequalities in socioeconomic position (SEP) are discussed alongside other factors such as obesity, diabetes, smoking, diet, and other lifestyle factors as well as pesticide exposure and occupational factors 18 – 23 . However, most studies on modifiable risk factors have shown inconclusive results.…”

Section: Introductionmentioning

confidence: 99%

“…However, most studies on modifiable risk factors have shown inconclusive results. So far, only one population-based study have indicated a positive association between SEP and MGUS while considering other discussed risk factors potentially mediating this effect 23 . As SEP can serve as a context defining variable that describes overall differences in risk-associated environments and health behaviours, it is hypothesized that SEP may affect disease via its influence on the social distribution of specific risk factors, which in turn have an impact on gene expression (i.e., gene-environment interaction) 24 , 25 .…”

Section: Introductionmentioning

confidence: 99%

“…The aim of this study was (1) to replicate the cumulative effect of genetic risk allele sum scores (GRSs) predisposing to MGUS using an independent sample of MGUS cases and (2) to investigate possible interactions between the GRSs and indicators of SEP (i.e., education and income) in a population based study cohort, where positive associations between indicators of SEP and MGUS have already been shown 23 . We calculated two separate MGUS GRSs each comprising 10 different risk loci from previous GWASs published in 2017 17 and 2019 15 .…”

Section: Introductionmentioning

confidence: 99%

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A genetic risk score of alleles related to MGUS interacts with socioeconomic position in a population-based cohort

Baak

Frank

Dürig

et al. 2022

Sci Rep

Self Cite

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Environmental, genetic, and social factors are suggested to jointly influence monoclonal gammopathy of undetermined significance (MGUS), a precursor of multiple myeloma. Aim of this study was to investigate interactions between MGUS-related genetic variants and socioeconomic position (SEP) indicators education and income on MGUS in a population-based study. Two different MGUS-related genetic risk allele sum scores (GRS) were calculated based on recent genome-wide meta-analyses. Odds Ratios (OR) were estimated in 4329 participants including 238 MGUS cases to assess associations and multiplicative interaction. The relative excess risk due to interaction (RERI) was calculated to assess additive interaction. Both GRSs were associated with MGUS. A multiplicative interaction between one GRS and education was observed with genetic effects of OR 1.34 (95% CI 1.11–1.62) per risk allele in the highest and OR 1.06 (95% CI 0.86–1.31) in the lowest education group. A RERI of 0.10 (95% CI 0.05–0.14) also indicated additive interaction. Further, additive GRS by income interaction (RERI 0.07; 95% CI 0.01–0.13) for the same GRS was also indicated. Results indicate interaction between MGUS-related genetic risk and SEP. Non-genetic MGUS risk factors more common in higher education groups may influence the expression of MGUS-related genetic variants.

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Overweight/Obesity and Monoclonal Gammopathy of Undetermined Significance

Georgakopoulou

Andrikopoulou

Sergentanis

et al. 2021

Clinical Lymphoma Myeloma and Leukemia

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Socioeconomic Position is Positively Associated with Monoclonal Gammopathy of Undetermined Significance in a Population-based Cohort Study

Cited by 9 publications

References 28 publications

Electrophoretical distribution of serum monoclonal protein and underlying causes. Data from a referral center in Mexico

Electrophoretical distribution of serum monoclonal protein and underlying causes. Data from a referral center in Mexico

A genetic risk score of alleles related to MGUS interacts with socioeconomic position in a population-based cohort

Overweight/Obesity and Monoclonal Gammopathy of Undetermined Significance

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