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  • Research article
  • Open Access
  • Open Peer Review

Vitamin D-responsive SGPP2 variants associated with lung cell expression and lung function

  • 1,
  • 1,
  • 2,
  • 3,
  • 3,
  • 4,
  • 5,
  • 6,
  • 7, 8,
  • 8, 9,
  • 10, 11,
  • 10 and
  • 1, 12Email author
Contributed equally
BMC Medical Genetics201314:122

  • Received: 21 January 2013
  • Accepted: 8 November 2013
  • Published:
Open Peer Review reports



Vitamin D is associated with lung health in epidemiologic studies, but mechanisms mediating observed associations are poorly understood. This study explores mechanisms for an effect of vitamin D in lung through an in vivo gene expression study, an expression quantitative trait loci (eQTL) analysis in lung tissue, and a population-based cohort study of sequence variants.


Microarray analysis investigated the association of gene expression in small airway epithelial cells with serum 25(OH)D in adult non-smokers. Sequence variants in candidate genes identified by the microarray were investigated in a lung tissue eQTL database, and also in relation to cross-sectional pulmonary function in the Health, Aging, and Body Composition (Health ABC) study, stratified by race, with replication in the Framingham Heart Study (FHS).


13 candidate genes had significant differences in expression by serum 25(OH)D (nominal p < 0.05), and a genome-wide significant eQTL association was detected for SGPP2. In Health ABC, SGPP2 SNPs were associated with FEV1 in both European- and African-Americans, and the gene-level association was replicated in European-American FHS participants. SNPs in 5 additional candidate genes (DAPK1, FSTL1, KAL1, KCNS3, and RSAD2) were associated with FEV1 in Health ABC participants.


SGPP2, a sphingosine-1-phosphate phosphatase, is a novel vitamin D-responsive gene associated with lung function. The identified associations will need to be followed up in further studies.


  • Vitamin D
  • Airflow obstruction
  • FEV1
  • SGPP2
  • FEV1/FVC


Vitamin D is of interest in relation to a number of health outcomes, with putative function beyond its classical role in maintaining bone health. The active form of vitamin D, 1,25-dihydroxyvitamin D [1,25(OH)2D], when bound to the vitamin D receptor (VDR), regulates the expression of genes in many molecular pathways, including inflammation, cell proliferation, cell death, and tissue-remodeling pathways [1]. Serum 25-hydroxyvitamin D [25(OH)D] is the primary circulating biomarker of vitamin D status, and recent national survey data in the U.S. indicate 32% of Americans are at risk of vitamin D inadequacy or deficiency, defined as 30–49 nmol/L and <30 nmol/L serum 25(OH)D, respectively [2, 3].

Chronic obstructive pulmonary disease (COPD) is the third leading cause of death in the United States, and is a large and growing burden on health care [4]. While smoking is the primary risk factor for rapid lung function decline and development of COPD, about 15% of individuals who have never smoked develop COPD and not all smokers succumb, implicating other factors, such as genetic, dietary, and lifestyle factors, in lifetime lung function patterns and disease risk [5].

Recent evidence indicates that vitamin D, as a steroid hormone capable of influencing gene expression, may be a determinant of lung function [6]. A cross-sectional study in the National Health and Nutrition Examination Survey (NHANES) III reported a strong positive association between serum 25(OH)D and lung function, with clinically relevant effect sizes for forced expiratory volume in the first second (FEV1) and forced vital capacity (FVC) [7]. However, a subsequent cross-sectional study in the U.K. reported no association between serum 25(OH)D and FEV1[8]. Causal inferences are limited in the cross-sectional design, effect estimates may be biased by uncontrolled confounders such as physical activity, and, furthermore, comparisons are limited by differences in the range in serum 25(OH)D between studies. Investigations of serum 25(OH)D or high-dose vitamin D supplementation in relation to the risk of exacerbations in COPD patients reported overall null findings [9, 10]. However, vitamin D supplementation led to a statistically significant reduction in COPD exacerbations in the subgroup with severe vitamin D deficiency at the study baseline (serum 25(OH)D < 10 ng/mL) [9], underscoring the importance of considering the potential to benefit in studies of nutritional supplementation.

In vitro animal and cell culture studies demonstrate that vitamin D-responsive genes play a role in airway remodeling and inflammation, which are key processes in the pathogenesis of COPD [11, 12]. However, few studies directly investigate mechanisms for vitamin D’s effect in vivo, which would strengthen the causal inference of population-level association studies. Furthermore, most experimental work to date has focused on effects of the active metabolite of vitamin D, 1,25-dihydroxyvitamin D. This metabolite is generated in the kidney for systemic circulation, and in many tissues, including lung [13]. It is not yet established whether the population-level range in serum 25-hydroxyvitamin D, the primary biomarker for vitamin D status in humans, is associated with effects similar to those seen in vitro for 1,25-hydroxyvitamin D.

We used an interdisciplinary approach to investigate the mechanisms through which vitamin D affects lung function. Genes with in vitro evidence of vitamin D regulation were studied to assess whether serum 25(OH)D concentration was associated with gene expression in lung epithelial tissues sampled from free-living humans. Identified genes were investigated in a study of expression quantitative trait loci (eQTL) in human lung epithelial cells to assess if genetic variation affects gene expression. Also, identified genes were investigated in an epidemiologic cohort study in relation to pulmonary function phenotypes. We hypothesized that serum 25(OH)D affects expression of vitamin D-responsive genes by modulating levels of active 1,25(OH)2D in lung tissue, and that variants in candidate genes directly regulated by 1,25(OH)2D in lung tissue are associated with FEV1 and FEV1/FVC, the key parameters used for COPD diagnosis and staging.


Gene expression study

Twenty-six healthy nonsmoker adult volunteers (Additional file 1) were recruited and evaluated at the Weill Cornell Medical College General Clinical Research Center under protocols approved by the Weill Cornell Medical College Institutional Review Board, as described elsewhere [14]. Frozen sera samples were assayed for 25(OH)D by liquid chromatography-tandem mass spectrometry at the Division of Laboratory Sciences, Centers for Disease Control and Prevention (Atlanta, GA). Airway epithelial cells were collected by brushing during bronchoscopy [14], and first and second strand cDNA were synthesized from 6 μg of RNA, in vitro transcribed, and fragmented according to Affymetrix protocols; samples were hybridized to the Affymetrix HG-U133 Plus 2.0 array [14]. (Additional file 2 for further details).

The microarray analysis considered 156 genes, which were identified a priori based on evidence of regulation by 1,25-dihydroxyvitamin D in squamous epithelial cells [1] and evidence for at least one predicted binding site for VDR (a DR3 or ER6 response element with up to 1 base mismatch from the consensus sequence) [1].

The statistical significance of fold-changes in expression between the first and third tertile of serum 25(OH)D was calculated using a t-test with Bayesian correction (Limma). Given that the purpose of the microarray study was to identify candidate genes to take forward to both the eQTL and the population-based cohort analysis, a statistical significance threshold of nominal P < 0.05 was used. Linear regression coefficients and the variance (R2) in gene expression explained by serum 25(OH)D were calculated, and included the full range of 25(OH)D concentrations.

eQTL study: data collection and statistical approach

The Expression Quantitative Trait Loci (eQTL) study was conducted using lung small airway epithelium tissue samples from 116 individuals (see Additional file 2 for details). Tissue samples were collected under protocols approved by the Weill Cornell Medical College Institutional Review Board. Associations between SNPs and gene expression of 13 vitamin D-responsive genes in lung small airway epithelium tissue were analyzed. Tissue samples were taken from a diverse cohort of 116 smokers and non-smokers of different genders and ancestries (see Table 1, Gao et al.[15]). Details of the sample collection are published elsewhere [14] and details on normalization of gene expression values are available in Gao et al.[15] SNPs were assayed using Affymetrix 500 k arrays, which provided data on 191,959 genotypes; only SNPs with MAF of > 0.1 were analyzed for associations with gene expression. Thus, there were far fewer SNPs available in the eQTL study in comparison to the Health ABC GWAS study, and although very few of the exact SNPs studied in Health ABC were in the eQTL database, the eQTL SNPs tagged the sequence variation in each gene.
Table 1

Fold change in expression and P-value of 13 genes reaching nominal P-value Threshold (p < 0.05) in expression study



Fold change*




































































*Fold change in high versus low tertile serum 25-hydroxyvitamin D.

§R-squared calculated in linear regression, considering the full range of serum 25-hydroxyvitamin D, thus equals the proportion of variance in expression accounted for serum 25(OH)D.

SNPs within 100 kb of the 13 candidate genes (Additional file 3 for gene names) were tested for association with gene expression using PLINK v1.07. Quantile-quantile plots were generated in R and Locus Zoom [16] plots were generated to visually examine P-value distributions. The genome-wide Q-Q plot and Manhattan plot were also examined.

Population-based cohort study

The Health, Aging and Body Composition (Health ABC) cohort study enrolled a random sample of European-Americans and all African-American Medicare-eligible residents, aged 70–79 at baseline (1997) and residing in the ZIP codes in and around Memphis, TN and Pittsburgh, PA (n = 3,075). The Institutional Review Boards at the University of Memphis, Tennessee, and the University of Pittsburgh granted approval to conduct the Health ABC Study. The Institutional Review Board at Cornell University and the Health ABC Publications Committee approved the use of Health ABC data for this study. The Framingham Heart Study (FHS) cohort (n = 7,694; includes individuals from the original, offspring, and third generation cohorts) [17] served as a replication cohort for cross-sectional SNP—lung function associations discovered in Health ABC European-Americans (Additional file 2 for further details on both cohort studies). The Institutional Review Board at the Boston University Medical Campus granted approval for the FHS.

Spirometry met American Thoracic Society criteria for acceptability [18, 19]. Participants with missing covariate data were excluded from further consideration (~ 300 in each ancestry group). Participants with an FEV1 measurement and an FEV1/FVC ratio below the Lower Limit of Normal were considered to have prevalent airflow obstruction [19, 20]. The Illumina Human 1 M-Duo custom chip was used for genotyping in Health ABC [21]. All assayed SNPs in the 13 candidate genes (identified by the expression study) with a minor allele frequency > 5% and in Hardy Weinberg equilibrium were analyzed, comprising 313 SNPs in European-Americans and 355 SNPs in African- Americans (Additional file 3).

Ordinary least squares linear regression models examined the relation between SNPs and FEV1 and FEV1/FVC in sequential regressions (using SAS 9.2). An additive genetic model was used to estimate the main effect of each SNP; SNPs with a nominal P ≤ 0.02 were further tested in dominant and recessive genetic models to refine effect estimates. In genetic studies, the risk of false positives must be minimized without ruling out true associations [22]. GWAS-scale multiple testing adjustments are not appropriate for the hypothesis-based investigation of the 13 genomic regions nominated by the gene expression study. Thus, SNPs with nominally significant p-values are presented, and False Discovery Rate (FDR) multiple testing correction was applied [23]. Models were adjusted for age, height, cigarette smoking (smoking status and pack-years), gender, study site, and ancestry principal components.

Sensitivity analyses were performed on the top findings for the FEV1 phenotype by repeating analyses after excluding individuals with prevalent airflow obstruction or individuals with lower quality spirometry (lower reproducibility scores). Exploratory SNP × serum 25(OH)D interaction analyses are presented in the additional file only (Additional files 4, 5).


Gene expression by serum 25-hydroxyvitamin D

Healthy, non-smoking adults (n = 26) were divided into tertiles of serum 25(OH)D (range of serum 25(OH)D: 2.3-39.7 ng/mL); the lowest tertile boundary corresponded to the cutpoint for deficiency (< 12 ng/mL), and the upper tertile included only vitamin D sufficient individuals (all ≥ 20 ng/mL), thus further analysis compared these two groups. Expected associations were confirmed; serum vitamin D concentrations were lower in African American participants, and slightly higher in males (Additional file 1).

Among the 156 genes studied, thirteen genes (8.3%) had statistically significant (nominal p < 0.05) differences in expression between the first and third tertiles of serum 25-hydroxyvitamin D (Table 1). To further characterize the relation of serum 25-hydroxyvitamin D with the 13 nominally significant genes, the linear association of gene expression with continuous serum 25-hydroxyvitamin D was estimated (Table 1); the percent of variance (R2, from linear regression) explained by serum 25-hydroxyvitamin D ranged from 8 to 40%, and FSTL1 had the highest R2.

eQTL analysis

All 13 vitamin D-responsive genes were queried in the eQTL data, but only 12 genes had available data (no data for RSAD2). A highly statistically significant cis eQTL reaching genome-wide significance thresholds was identified for SGPP2; a cluster of SNPs in the 3’ region of SGPP2 was associated with SGPP2 gene expression in lung tissue (the lead SNP, rs13009608 had a nominal p-value of 2.99 × 10-09). Figure 1 shows gene-level results and Additional files 6 and 7 show genome-wide Q-Q and Manhattan plots, respectively. The association of rs13009608 with SGPP2 gene expression was replicated (p-value: 7.0 × 10-18) in a publically available eQTL database of lymphoblastoid cell lines [24].
Figure 1
Figure 1

Locus Zoom plot of SGPP2 eQTL associations.

Population-level SNP—lung function associations

All 13 vitamin D-responsive genes identified by the microarray screen were further studied in a population-based candidate gene association study. After excluding participants with missing covariate data, 1,502 European-Americans and 996 African-Americans (81% of full cohort) had an acceptable FEV1 and were included in the FEV1 analysis. 1,472 European-Americans and 943 African-Americans (79% of cohort) had an acceptable FEV1/FVC, and were included in the ratio analysis (Table 2).
Table 2

Characteristics of Health, Aging and Body Composition study participants included in the FEV 1 phenotype* analysis, stratified by race





(N = 996)

(N = 1,502)

Age, years**

73.4 (2.9)

73.7 (2.8)

Women (%)

553 (55.5)

708 (47.1)

Memphis, TN site (%)

464 (46.6)

759 (50.5)

Former Smokers (%)

398 (40)

746 (49.7)

Current Smokers (%)

167 (16.8)

99 (6.6)


29.5 (24.1)

36.5 (31.9)

FEV1, mL

1948.7 (569.4)

2305.4 (654.3)


75.5 (9.3)

74.4 (7.9)

Height, cm

165.7 (9.4)

167 (9.3)

Mean 25(OH)D (ng/mL)***

20.9 (10.6)

29 (11)

COPD, defined by LLN (%)

66 (7.0)

110 (7.5)

*All participants in table have FEV1 data; approximately 50 fewer individuals have FEV1/FVC ratio data, but participant characteristics are the same for both phenotypes.

**Data shown are mean (SD) or number (%).

***Serum 25(OH)D measured for 1,412 (94%) European-Americans and 864 (87%) African-Americans with the FEV1 phenotype, and for 1,383 European-Americans and 864 African-Americans with the FEV1/FVC phenotype.

Five SNPs in two genes (DAPK1 and SGPP2) were associated with FEV1 at a nominal P < 0.02 in European-American participants (P-value range: 2.88 × 10-03 to 1.92 × 10-02; Table 3). A SNP in DAPK1 (rs11141878) had the largest effect; participants with two copies of the minor allele (recessive genotype) were 104 mL lower on FEV1 . In African-Americans, 18 SNPs in 6 genes (DAPK1, FSTL1, KAL1, KCNS3, RSAD2, and SGPP2) were associated with FEV1 at nominal P < 0.02 (range: 1.11 × 10-04 to 1.65 × 10-02; Table 4). A group of 3 linked SNPs in a linked 5’ block of SGPP2 were associated with a decreased FEV1 and a reduced FEV1/FVC ratio in African-Americans with nominal P-values <0.02 and FDR q-values <0.05 (Figure 2). A fourth SNP in SGPP2, rs4597517, was borderline significantly associated with FEV1 in African-Americans in the additive model (p = 2.16 × 10-2), and statistically significantly associated with FEV1 (p = 4.28 × 10-4) in the recessive genetic model. A SNP in KCNS3 (rs3747515) had the largest effect on FEV1 in African-Americans; participants with the recessive genotype were 244 mL higher on FEV1 . Due to linkage, some SNP associations were redundant; thus, SNPs in the same gene with an R2 ≥ 0.9 (indicating strong linkage) are assumed to represent the same effect and redundant SNPs are presented in the online additional materials only (Additional files 8, 9).
Table 3

The association of SNPs in vitamin D-responsive genes (nominal P < 2.0 × 10 -02 ) with FEV 1 (mL) for European-Americans in the Health, Aging and Body Composition study (sorted by gene)*




Coded allele

MAF (%)



Nominal P









4.26 × 10-03









8.17 × 10-03









1.92 × 10-02









2.88 × 10-03


†one redundant SNP not shown.

*Abbreviations: Chr, chromosome; MAF, minor allele frequency; β, regression coefficient; SE, standard error; A = additive genetic model, D = dominant model, R = recessive model.

**Beta-coefficient estimates the association of allele with FEV1, based on genetic model shown and adjusted for age, height, smoking, gender, study site, and ancestry principal components.

Table 4

The association of SNPs in vitamin D-responsive genes (nominal P < 2.0 × 10 -02 ) with FEV 1 (mL) for African-Americans in the Health, Aging and Body Composition study (sorted by gene)*




Coded allele

MAF (%)



Nominal P









1.65 × 10-02









1.88 × 10-03









2.54 × 10-03









5.20 × 10-03









7.20 × 10-03









9.14 × 10-03









3.60 × 10-03









9.93 × 10-04









2.66 × 10-03









5.88 × 10-03









1.34 × 10-02









1.11 × 10-04***


*Abbreviations: Chr, chromosome; MAF, minor allele frequency; β, regression coefficient; SE, standard error; A = additive genetic model, D = dominant model, R = recessive model.

**Beta-coefficient estimates the association of allele with FEV1, based on genetic model shown, adjusted for age, height, smoking, gender, study site, and ancestry principal components.

***FDR q-value <0.05.

†one redundant SNP not shown.

††two redundant SNPs not shown.

Figure 2
Figure 2

Association between SNPs and FEV 1 in SGPP2 . This figure shows all SNPs tested for association with FEV1 in African-Americans (red markers) and European-Americans (blue markers) in Health ABC. The top graph shows the p-values for each SNP on a negative log scale. The threshold for significance, nominal P = 2 × 10-02, is shown as a line in the figure. Effect estimates (βSNP) for FEV1 (in mL) for each ancestry group are shown underneath the P-values (dotted line shows null value of 0). Effect estimates and p-values are from recessive, dominant, or additive genetic models for SNPs with p < 0.02, and from an additive genetic model for all other SNPs. Finally, the linkage disequilibrium structure of SGPP2 in the Health ABC European-American population is shown at the bottom, with darker shading representing higher R2.

In European-Americans, 1 SNP in KLF4 was associated with the FEV1/FVC ratio (P-value 1.15 × 10-2; Additional file 9). In African-Americans, 14 SNPs in 3 genes (FSTL1, KAL1, and SGPP2) were associated with the ratio at a nominal P < 0.02 (range: 1.32 × 10-03 to 1.27 × 10-02; Additional file 9).

A sensitivity analysis explored whether the SNP—FEV1 associations primarily reflected effects of genetic variation on risk of COPD; analyses were repeated after excluding 110 European Americans and 64 African-Americans with prevalent airflow obstruction (as an indicator of COPD). For European-Americans there was little or no difference in analyses with and without prevalent cases. A Bland-Altman analysis showed that for SNPs in SGPP2, the effect estimates for African-Americans were attenuated after excluding cases of prevalent airflow obstruction (data not shown). Thus, the SGPP2 SNPs that had statistically significant associations with FEV1 were further tested in logistic regression models to assess the SGPP2—outcome association in African-Americans. Individuals with two copies of the SNP most statistically significantly associated with FEV1, rs4528748, had a 2.6-fold increased risk of airflow obstruction. All 3 SGPP2 SNPs had odds ratios above 2 for the SNP—COPD association, and all confidence intervals excluded 1 (Table 5), supporting a role for SGPP2 in mediating COPD risk.
Table 5

Associations of SNPs in SGPP2 with risk of prevalent COPD* in African-Americans in the Health, Aging and Body Composition Study


95% Confidence interval



Odds ratio



Nominal P-value





1.64 × 10-02





1.35 × 10-02





3.33 × 10-02

*COPD defined as FEV1 and FEV1/FVC ratio below the Lower Limit of Normal.

*All SNPs modeled as recessive (two copies of the minor allele) to reflect the most significant coding from Table 3, and models adjusted for age, height, smoking, gender, study site, and ancestry principal components.

There was consistency of findings across both phenotypes and both ancestry groups for 2 genes, namely SGPP2 and DAPK1. SNPs in SGPP2 and DAPK1 were associated with FEV1 in both European-Americans and African-Americans, and SNPs in SGPP2 were also associated with FEV1/FVC and with risk of prevalent airflow obstruction in African-Americans.

Genes containing SNPs significantly associated with FEV1 or FEV1/FVC in Health ABC European-Americans, namely DAPK1, KLF4, and SGPP2, were further evaluated in the FHS cohort. Gene-level replication was observed for DAPK1 and SGPP2; 23 out of 340 SNPs in DAPK1 (6.8%) and 23 out of 145 SNPs (15.8%) in SGPP2 were associated with cross-sectional FEV1 at a nominal P-value <0.05 in the FHS cohort, although these comprised different SNPs than the ones associated with lung function in Health ABC (Additional file 10).


Using an interdisciplinary genomics approach we investigated vitamin D and lung outcomes. SGPP2, a phosphatase involved in the sphingosine-1-phosphate signaling pathway, was identified in all stages of the study as a promising candidate gene contributing to vitamin D-mediated associations with lung function. SGPP2 is differentially expressed in vivo in lung epithelial cells by serum 25(OH)D. eQTL analysis demonstrates that sequence variants in SGPP2 are associated with lung cell gene expression. Although the eQTL finding does not prove that vitamin D regulation affects gene expression, the location of associated variants in regulatory regions supports the hypothesis of vitamin D regulation. Furthermore, a group of 3 linked SNPs in the SGPP2 promoter region are associated with lower FEV1, a reduced FEV1/FVC ratio, and a 2–3 fold increased risk of airflow obstruction in African-Americans, suggesting that a causal variant in this region may affect SGPP2 function and/or vitamin D binding, and, consequently, lung outcomes. Additionally, a SNP in SGPP2 is associated with FEV1 in Health ABC European-Americans and SGPP2 variants were also associated with FEV1 in the Framingham Heart Study, confirming effects across racial groups and in two cohort studies. This multi-faceted approach identifies putative mechanistic pathways for observed vitamin D—lung function associations while reducing the chance of false positive results.

SGPP2 plays a key role in the sphingolipid signaling pathway through dephosphorylation of sphingosine-1-phosphate (S1P) to sphingosine, which is then converted to ceramide or back to sphingosine-1-phosphate by other enzymes [25]. Sphingosine-1-phosphate acts as both an intracellular and extracellular signaling molecule, and regulates critical cell processes including apoptosis, cell growth, and immune function [25, 26]. Altered sphingolipid concentrations have important ramifications for lung function; ceramide concentrations are elevated in COPD, contributing to lung alveolar destruction [25]. Little research exists on SGPP2, although a 2006 paper showed that SGPP2 is up-regulated in response to inflammatory stimuli in endothelial cells, suggesting a possible role in mediating inflammation in lung tissue [27]. However, SGPP2’s biological function to alter sphingosine-1-phosphate concentrations suggests that this gene contributes to the regulation of sphingolipid signaling pathways in lung tissue.

We identified several additional genes, namely DAPK1, KCNS3, and FSTL1, and all three had mechanistic links to lung function identified through gene ontology analysis and literature reviews (Additional files 11 and 12). Expression of all three genes was strongly associated with serum 25(OH)D, and variants in these genes were associated with pulmonary function in the Health ABC cohort study. However, variants were not replicated in the Framingham Heart Study, nor were there observed eQTL associations. DAPK1, which is down-regulated by 1,25(OH)2D both in vivo and in vitro, is a pro-apoptotic kinase linked to cytoskeletal remodeling and regulation of inflammatory gene expression in macrophages [28, 29]. SNPs in KCNS3, which encodes a voltage-gated potassium channel protein, were associated with airway hyperresponsiveness in past studies [30], which is of interest given postulated associations of airways hyperresponsiveness with an accelerated rate of FEV1 decline and risk of COPD [31]. FSTL1 up-regulates pro-inflammatory cytokines; in mice, the highest expression level is in lung [32]. Dexamethasone, which is a glucocorticoid used to treat both asthma and COPD, is associated with expression of both KCNS3 and FSTL1; interestingly, there are striking similarities in the effects of dexamethasone and 1,25-dihydroxyvitamin on the expression of these genes. The combination of 1,25-dihydroxyvitamin D with dexamethasone was investigated in vitro as an anti-inflammatory treatment; our results suggest the strong possibility of synergistic effects for this treatment combination (Additional file 12 for references).

A major strength of this study is that it translates in vitro animal and cell culture studies to an in vivo study, and then extends to study population-level SNP associations with lung phenotypes, which are partially replicated in an independent cohort. The multi-stage approach identified SGPP2 as a promising vitamin D-responsive gene for further study. The demonstration of differential gene expression in lung tissue associated with the physiologic range of 25-hydroxyvitamin D in a diverse sample of free-living humans confirms in vitro studies, and, while our study does not manipulate vitamin D, the in vivo evidence of association is novel. The Health ABC population-based cohort study included high-quality spirometry, detailed information on confounding factors such as smoking and population stratification, and comprised 40% African-American participants, thus allowing consideration of this understudied population in genomic research. FEV1 is a predictor of all-cause mortality [33], and thus SNP—FEV1 associations are clinically relevant. Although associations between SNPs and the FEV1/FVC ratio were also investigated, the associations were not as strong as for FEV1. Thus, vitamin D may have a stronger association with overall lung health versus the risk of COPD. This study identifies plausible biological mechanisms that support a true effect of vitamin D on lung function, and will help to guide the design and analysis of randomized controlled intervention trials of the role of vitamin D in lung disease.

Given that the microarray analysis was used exclusively as a candidate screen, limitations including the lack of qPCR confirmation (not possible due to sample volume limitations), use of nominal P values, and the lack of race-stratified analysis (not possible due to sample size limitations) are less of a concern. As expected, the proportion of participants in the race/ethnicity groups varied by tertile of serum 25(OH)D given the role of skin pigmentation in vitamin D synthesis in response to sunlight [2]. Race may either confound the serum 25(OH)D—gene expression association, or, race may be a causal antecedent variable that, in part, causes serum 25(OH)D concentration and, in turn, differences in gene expression; adjusting for race may be an over-adjustment. Of note, in regressions adjusted for race the regression coefficients for the serum 25(OH)D—gene expression association were similar to unadjusted analyses.

While the studies were all cross-sectional, which limits causal inference, the harmony of findings across different designs partly mitigates this concern. Although it would have been ideal to use the same samples in all studies (that is, expression, eQTL and SNP—lung function studies), practical limitations led to the use of different samples in each phase. Finally, although gene-level replication was observed for SGPP2 and DAPK1, the specific SNPs associated with FEV1 in Health ABC did not reach statistical significance in FHS. We hypothesize that the SGPP2 SNPs identified in the two cohort studies may be tagging the same unknown causal variant(s) or there may be multiple SGPP2 regulatory regions associated with lung function. Additionally, the strongest SNP—lung function associations in Health ABC were in African-Americans, and, because FHS includes only European Americans, the replication was partial. In summary, SNPs in SGPP2 were statistically significantly associated with lung outcomes after FDR multiple testing adjustment and a highly statistically significant lung eQTL was identified for SGPP2; SGPP2 emerged as a clear candidate in all stages of this work.


This study establishes for the first time that physiological concentrations of serum 25(OH)D are associated with differences in gene expression in human lung tissue, and that candidate vitamin D responsive genes are associated with pulmonary function outcomes. We hypothesize that genetic variants associated with pulmonary function in our study affect binding of the VDR/RXR heterodimer to the genome; however, further studies are needed to map lung tissue-specific regulatory regions. Recent evidence shows that vitamin D regulatory elements (VDREs) are located both proximal and distal to vitamin D-responsive genes at promoter regions and enhancer regions, respectively, and that VDR/RXR binding is cell-type specific [34]. This emphasizes the importance of genome-wide VDR/RXR mapping in lung cells to identify regulatory regions [34]. Additionally, in vitro studies of bronchial epithelial cells to directly assess gene expression changes due to vitamin D would contribute to the current understanding. Overall, the results of our study identify putative mechanisms through which vitamin D may affect lung function and, suggest a physiological range for 25-hydroxyvitamin D at which differential responses occur at the molecular level. Demonstrated associations strengthen the evidence for monitoring serum 25(OH)D concentrations in individuals at risk of rapid decline in lung function.




Chronic obstructive pulmonary disease


Forced expiratory volume in the first second


False discovery rate


Forced vital capacity


25-hydroxyvitamin D


25(OH)2D: 1,25-dihydroxyvitamin D


National Health and Nutrition Examination Survey


cystatin E/M


Death associated protein kinase 1


Deltex homolog 4




Follistatin-like 1


Kallmann syndrome 1 sequence


Potassium voltage-gated channel, delayed-rectifier, subfamily S, member 3


Kruppel-like factor 4


Prostaglandin E receptor 2(subtype EP2)


Radical S-adenosyl methionine domain containing 2


SLIT and NTRK-like family, member 6


Sphingosine-1-phosphate phosphatase 2


Transmembrane protein 40.



The authors thank Alex Gileta, who contributed to the eQTL analysis during the time he was an undergraduate senior at Cornell University, and a member of the Cassano Research Group. In addition, the authors thank Yael Strulovici-Barel from Weill Cornell Medical College for uploading the gene expression files to the GEO data repository. Finally, the authors thank the participants of the Health ABC study, for giving of their time, and the Health ABC study team, including the coordinating center at UCSF and at the NIA, for all of the infrastructure and support throughout this project.


This research was supported by National Institutes of Health, National Heart Lung and Blood Institute R03 HL095414 (PAC) and P50 HL084936 (RGC), by RC1-AG035835 (SK, PI; PAC, PI subcontract), and by NRSA Institutional Research Training Grant T32-DK-7158-36 (JGH). This research also was supported by R01‒AG029364, by NIA contracts N01AG62101, N01AG62103, and N01AG62106, and by the Ashken Foundation (RGC). The genome-wide association study was funded by NIA grant R01-AG032098-01A1 to Wake Forest University Health Sciences and genotyping services were provided by the Center for Inherited Disease Research (CIDR). CIDR is fully funded through a federal contract from the National Institutes of Health to The Johns Hopkins University, contract number HHSN268200782096C. This research was supported in part by the Intramural Research Program of the NIH, National Institute on Aging. Research was conducted in part using data and resources from the Framingham Heart Study of the NHLBI of the NIH and Boston University School of Medicine. The analyses reflect intellectual input and resource development from the Framingham investigators participating in the SNP Health Association Resource (SHARe) project. This work was partially supported by the NHLBI's Framingham Heart Study (Contract No. N01-HC-25195) and its contract with Affymetrix, Inc. for genotyping services (Contract No. N02-HL-6-4278). A portion of this research utilized the Linux Cluster for Genetic Analysis (LinGA-II) funded by the Robert Dawson Evans Endowment of the Department of Medicine at Boston University School of Medicine and Boston Medical Center.

Authors’ Affiliations

Division of Nutritional Sciences, Cornell University, 209 Savage Hall, Ithaca, NY 14853, USA
Department of Genetic Medicine, Weill Cornell Medical College, New York, NY, USA
Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
Intramural Research Program, National Institute on Aging, Laboratory of Epidemiology, Demography, and Biometry, Gateway Building, 3C309, 7201 Wisconsin Avenue, Bethesda, MD 20892, USA
Division of Public Health Sciences, Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
Division of Public Health Sciences, Department of Epidemiology & Prevention, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
Section of Pulmonary, Allergy & Critical Care Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, USA
Division of Aging, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14853, USA
Department of Medical Genetics, Weill Cornell Medical College, New York, NY, USA
Division of Biostatistics and Epidemiology, Department of Public Health, Weill Cornell Medical College, New York, NY, USA


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  35. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:


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