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Sandling, Johanna K.
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Publications (10 of 38) Show all publications
Liu, C., Marioni, R. E., Hedman, Å. K., Pfeiffer, L., Tsai, P.-C., Reynolds, L. M., . . . Levy, D. (2018). A DNA methylation biomarker of alcohol consumption.. Molecular Psychiatry, 23, 422-433
Open this publication in new window or tab >>A DNA methylation biomarker of alcohol consumption.
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2018 (English)In: Molecular Psychiatry, ISSN 1359-4184, E-ISSN 1476-5578, Vol. 23, p. 422-433Article in journal (Refereed) Published
Abstract [en]

The lack of reliable measures of alcohol intake is a major obstacle to the diagnosis and treatment of alcohol-related diseases. Epigenetic modifications such as DNA methylation may provide novel biomarkers of alcohol use. To examine this possibility, we performed an epigenome-wide association study of methylation of cytosine-phosphate-guanine dinucleotide (CpG) sites in relation to alcohol intake in 13 population-based cohorts (ntotal=13 317; 54% women; mean age across cohorts 42-76 years) using whole blood (9643 European and 2423 African ancestries) or monocyte-derived DNA (588 European, 263 African and 400 Hispanic ancestry) samples. We performed meta-analysis and variable selection in whole-blood samples of people of European ancestry (n=6926) and identified 144 CpGs that provided substantial discrimination (area under the curve=0.90-0.99) for current heavy alcohol intake (⩾42 g per day in men and ⩾28 g per day in women) in four replication cohorts. The ancestry-stratified meta-analysis in whole blood identified 328 (9643 European ancestry samples) and 165 (2423 African ancestry samples) alcohol-related CpGs at Bonferroni-adjusted P<1 × 10(-7). Analysis of the monocyte-derived DNA (n=1251) identified 62 alcohol-related CpGs at P<1 × 10(-7). In whole-blood samples of people of European ancestry, we detected differential methylation in two neurotransmitter receptor genes, the γ-Aminobutyric acid-A receptor delta and γ-aminobutyric acid B receptor subunit 1; their differential methylation was associated with expression levels of a number of genes involved in immune function. In conclusion, we have identified a robust alcohol-related DNA methylation signature and shown the potential utility of DNA methylation as a clinically useful diagnostic test to detect current heavy alcohol consumption.

National Category
Other Basic Medicine
Identifiers
urn:nbn:se:uu:diva-319698 (URN)10.1038/mp.2016.192 (DOI)000423441700028 ()27843151 (PubMedID)
Note

De tio första författarna delar på förstaförfattarskapet. De sex sista författarna delar på sistaförfattarskapet.

Available from: 2017-04-06 Created: 2017-04-06 Last updated: 2018-03-19Bibliographically approved
Imgenberg-Kreuz, J., Almlöf, J. C., Leonard, D., Alexsson, A., Nordmark, G., Eloranta, M.-L., . . . Sandling, J. K. (2018). DNA methylation mapping identifies gene regulatory effects in patients with systemic lupus erythematosus. Annals of the Rheumatic Diseases, 77(5), 736-743
Open this publication in new window or tab >>DNA methylation mapping identifies gene regulatory effects in patients with systemic lupus erythematosus
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2018 (English)In: Annals of the Rheumatic Diseases, ISSN 0003-4967, E-ISSN 1468-2060, Vol. 77, no 5, p. 736-743Article in journal (Refereed) Published
Abstract [en]

Objectives: Systemic lupus erythematosus (SLE) is a chronic autoimmune condition with heterogeneous presentation and complex aetiology where DNA methylation changes are emerging as a contributing factor. In order to discover novel epigenetic associations and investigate their relationship to genetic risk for SLE, we analysed DNA methylation profiles in a large collection of patients with SLE and healthy individuals.

Methods: DNA extracted from blood from 548 patients with SLE and 587 healthy controls were analysed on the Illumina HumanMethylation 450 k BeadChip, which targets 485 000 CpG sites across the genome. Single nucleotide polymorphism (SNP) genotype data for 196 524 SNPs on the Illumina ImmunoChip from the same individuals were utilised for methylation quantitative trait loci (cis-meQTLs) analyses.

Results: We identified and replicated differentially methylated CpGs (DMCs) in SLE at 7245 CpG sites in the genome. The largest methylation differences were observed at type I interferon-regulated genes which exhibited decreased methylation in SLE. We mapped cis-meQTLs and identified genetic regulation of methylation levels at 466 of the DMCs in SLE. The meQTLs for DMCs in SLE were enriched for genetic association to SLE, and included seven SLE genome-wide association study (GWAS) loci: PTPRC (CD45), MHC-class III, UHRF1BP1, IRF5, IRF7, IKZF3 and UBE2L3. In addition, we observed association between genotype and variance of methylation at 20 DMCs in SLE, including at the HLA-DQB2 locus.

Conclusions: Our results suggest that several of the genetic risk variants for SLE may exert their influence on the phenotype through alteration of DNA methylation levels at regulatory regions of target genes.

Keywords
gene polymorphism, systemic lupus erythematosus
National Category
Rheumatology and Autoimmunity
Identifiers
urn:nbn:se:uu:diva-342164 (URN)10.1136/annrheumdis-2017-212379 (DOI)000430492600020 ()29437559 (PubMedID)
Funder
Knut and Alice Wallenberg Foundation, KAW 2011.0073Swedish Research Council, 521-2014-2263; 521-2013-2830; 521-2014-3954; 2016-01982; 350-2012-256AstraZenecaSwedish Society for Medical Research (SSMF)Swedish Rheumatism AssociationThe King Gustaf V's Jubilee FoundationSwedish Heart Lung FoundationStockholm County CouncilScience for Life Laboratory - a national resource center for high-throughput molecular bioscience
Available from: 2018-02-19 Created: 2018-02-19 Last updated: 2018-06-19Bibliographically approved
Imgenberg-Kreuz, J., Sandling, J. K., Bjork, A., Nordlund, J., Kvarnstrom, M., Eloranta, M.-L., . . . Nordmark, G. (2018). Transcription profiling of peripheral B cells in antibody-positive primary Sjogren's syndrome reveals upregulated expression of CX3CR1 and a type I and type II interferon signature. Scandinavian Journal of Immunology, 87(5), Article ID UNSP e12662.
Open this publication in new window or tab >>Transcription profiling of peripheral B cells in antibody-positive primary Sjogren's syndrome reveals upregulated expression of CX3CR1 and a type I and type II interferon signature
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2018 (English)In: Scandinavian Journal of Immunology, ISSN 0300-9475, E-ISSN 1365-3083, Vol. 87, no 5, article id UNSP e12662Article in journal (Refereed) Published
Abstract [en]

B cells play a key role in the pathogenesis of primary Sjogren's syndrome (pSS). The aim of this study was to analyse the transcriptome of CD19+ B cells from patients with pSS and healthy controls to decipher the B cell-specific contribution to pSS. RNA from purified CD19+ B cells from 12 anti-SSA antibody-positive untreated female patients with pSS and 20 healthy blood donors was subjected to whole transcriptome sequencing. A false discovery rate corrected significance threshold of <0.05 was applied to define differential gene expression. As validation, gene expression in B cells from 17 patients with pSS and 16 healthy controls was analysed using a targeted gene panel. RNA-sequencing identified 4047 differentially expressed autosomal genes in pSS B cells. Upregulated expression of type I and type II interferon (IFN)-induced genes was observed, establishing an IFN signature in pSS B cells. Among the top upregulated and validated genes were CX3CR1, encoding the fractalkine receptor involved in regulation of B-cell malignancies, CCL5/RANTES and CCR1. Increased expression of several members of the TNF superfamily was also identified; TNFSF4/Ox40L, TNFSF10/TRAIL, TNFSF13B/BAFF, TNFRSF17/BCMA as well as S100A8 and -A9/calprotectin, TLR7, STAT1 and STAT2. Among genes with downregulated expression in pSS B cells were SOCS1 and SOCS3, CD70 and TNFAIP3/A20. We conclude that B cells from patients with anti-SSA antibody-positive pSS display immune activation with upregulated expression of chemokines, chemokine receptors and a prominent type I and type II IFN signature, while suppressors of cytokine signalling are downregulated. This adds insight into the autoimmune process and suggests potential targets for future functional studies.

National Category
Immunology in the medical area Rheumatology and Autoimmunity
Identifiers
urn:nbn:se:uu:diva-354096 (URN)10.1111/sji.12662 (DOI)000430398400006 ()29655283 (PubMedID)
Funder
Knut and Alice Wallenberg Foundation, 2011.0073Swedish Research Council, 2012-2148Swedish Research Council, 350-2012-256Swedish Research Council, 521-2013-2830Swedish Research Council, 521-2014-2263Swedish Research Council, 2016-01982Knut and Alice Wallenberg FoundationSwedish Research Council
Available from: 2018-06-19 Created: 2018-06-19 Last updated: 2018-06-19Bibliographically approved
Hedman, Å. K., Mendelson, M. M., Marioni, R. E., Gustafsson, S., Joehanes, R., Irvin, M. R., . . . Ingelsson, E. (2017). Epigenetic Patterns in Blood Associated With Lipid Traits Predict Incident Coronary Heart Disease Events and Are Enriched for Results From Genome-Wide Association Studies. Circulation: Cardiovascular Genetics, 10(1), Article ID UNSP e001487.
Open this publication in new window or tab >>Epigenetic Patterns in Blood Associated With Lipid Traits Predict Incident Coronary Heart Disease Events and Are Enriched for Results From Genome-Wide Association Studies
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2017 (English)In: Circulation: Cardiovascular Genetics, ISSN 1942-325X, E-ISSN 1942-3268, Vol. 10, no 1, article id UNSP e001487Article in journal (Refereed) Published
Abstract [en]

Background- Genome-wide association studies have identified loci influencing circulating lipid concentrations in humans; further information on novel contributing genes, pathways, and biology may be gained through studies of epigenetic modifications. Methods and Results- To identify epigenetic changes associated with lipid concentrations, we assayed genome-wide DNA methylation at cytosine-guanine dinucleotides (CpGs) in whole blood from 2306 individuals from 2 population-based cohorts, with replication of findings in 2025 additional individuals. We identified 193 CpGs associated with lipid levels in the discovery stage (P < 1.08E-07) and replicated 33 (at Bonferroni-corrected P < 0.05), including 25 novel CpGs not previously associated with lipids. Genes at lipid-associated CpGs were enriched in lipid and amino acid metabolism processes. A differentially methylated locus associated with triglyceridesand high-density lipoprotein cholesterol (HDL- C; cg27243685; P= 8.1E-26 and 9.3E-19) was associated with cis-expression of a reverse cholesterol transporter (ABCG1; P= 7.2E-28) and incident cardiovascular disease events (hazard ratio per SD increment, 1.38; 95% confidence interval, 1.15-1.66; P= 0.0007). We found significant cis-methylation quantitative trait loci at 64% of the 193 CpGs with an enrichment of signals from genome-wide association studies of lipid levels (P-TC = 0.004, PHDL-C = 0.008 and P-triglycerides = 0.00003) and coronary heart disease ( P= 0.0007). For example, genome-wide significant variants associated with low-density lipoprotein cholesterol and coronary heart disease at APOB were cis-methylation quantitative trait loci for a low-density lipoprotein cholesterol-related differentially methylated locus. Conclusions-We report novel associations of DNA methylation with lipid levels, describe epigenetic mechanisms related to previous genome-wide association studies discoveries, and provide evidence implicating epigenetic regulation of reverse cholesterol transport in blood in relation to occurrence of cardiovascular disease events.

Place, publisher, year, edition, pages
LIPPINCOTT WILLIAMS & WILKINS, 2017
Keywords
cardiovascular diseases, DNA Methylation, epigenomics, gene expression, lipids
National Category
Cardiac and Cardiovascular Systems Medical Genetics
Identifiers
urn:nbn:se:uu:diva-320506 (URN)10.1161/CIRCGENETICS.116.001487 (DOI)000396862100004 ()
Funder
NIH (National Institute of Health), N01-HC-25195 HHSN2682015000011 P30 DK46200 1R01DK106236-01A1 1R01HL135313-01 R01 HL104135-01Swedish Research Council, 2012-1397Swedish Heart Lung Foundation, 20120197Knut and Alice Wallenberg FoundationWellcome trustEU, FP7, Seventh Framework Programme
Available from: 2017-04-20 Created: 2017-04-20 Last updated: 2018-01-13Bibliographically approved
Wahl, S., Drong, A., Lehne, B., Loh, M., Scott, W. R., Kunze, S., . . . Chambers, J. C. (2017). Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity. Nature, 541(7635), 81-+
Open this publication in new window or tab >>Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity
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2017 (English)In: Nature, ISSN 0028-0836, E-ISSN 1476-4687, Vol. 541, no 7635, p. 81-+Article in journal (Refereed) Published
Abstract [en]

Approximately 1.5 billion people worldwide are overweight or affected by obesity, and are at risk of developing type (2) diabetes, cardiovascular disease and related metabolic and inflammatory disturbances(1,2). Although the mechanisms linking adiposity to associated clinical conditions are poorly understood, recent studies suggest that adiposity may influence DNA methylation(3-6), a key regulator of gene expression and molecular phenotype(7). Here we use epigenome-wide association to show that body mass index (BMI; a key measure of adiposity) is associated with widespread changes in DNA methylation (187 genetic loci with P < 1 x 10(-7), range P = 9.2 x 10(-8) to 6.0 x 10(-46); n = 10,261 samples). Genetic association analyses demonstrate that the alterations in DNA methylation are predominantly the consequence of adiposity, rather than the cause. We find that methylation loci are enriched for functional genomic features in multiple tissues (P < 0.05), and show that sentinel methylation markers identify gene expression signatures at 38 loci (P < 9.0 x 10(-6), range P = 5.5 x 10(-6) to 6.1 x 10(-35), n = 1,785 samples). The methylation loci identify genes involved in lipid and lipoprotein metabolism, substrate transport and inflammatory pathways. Finally, we show that the disturbances in DNA methylation predict future development of type 2 diabetes (relative risk per 1 standard deviation increase in methylation risk score: 2.3 (2.07-2.56); P = 1.1 x 10(-54)). Our results provide new insights into the biologic pathways influenced by adiposity, and may enable development of new strategies for prediction and prevention of type 2 diabetes and other adverse clinical consequences of obesity.

Place, publisher, year, edition, pages
NATURE PUBLISHING GROUP, 2017
National Category
General Practice Endocrinology and Diabetes
Identifiers
urn:nbn:se:uu:diva-319140 (URN)10.1038/nature20784 (DOI)000396119500033 ()28002404 (PubMedID)
Available from: 2017-03-31 Created: 2017-03-31 Last updated: 2018-01-13Bibliographically approved
Reid, S., Alexsson, A., Frodlund, M., Sandling, J. K., Svenungsson, E., Jonsen, A., . . . Leonard, D. (2017). High Genetic Risk Score Is Associated with Increased Organ Damage in SLE. Arthritis & Rheumatology, 69(S10), Article ID 1638.
Open this publication in new window or tab >>High Genetic Risk Score Is Associated with Increased Organ Damage in SLE
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2017 (English)In: Arthritis & Rheumatology, ISSN 2326-5191, E-ISSN 2326-5205, Vol. 69, no S10, article id 1638Article in journal, Meeting abstract (Other academic) Published
National Category
Rheumatology and Autoimmunity
Identifiers
urn:nbn:se:uu:diva-346798 (URN)000411824103162 ()
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-03-22Bibliographically approved
Roos, L., Sandling, J. K., Bell, C. G., Glass, D., Mangino, M., Spector, T. D., . . . Bell, J. T. (2017). Higher Nevus Count Exhibits a Distinct DNA Methylation Signature in Healthy Human Skin: Implications for Melanoma. Journal of Investigative Dermatology, 137(4), 910-920
Open this publication in new window or tab >>Higher Nevus Count Exhibits a Distinct DNA Methylation Signature in Healthy Human Skin: Implications for Melanoma
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2017 (English)In: Journal of Investigative Dermatology, ISSN 0022-202X, E-ISSN 1523-1747, Vol. 137, no 4, p. 910-920Article in journal (Refereed) Published
Abstract [en]

High nevus count is the strongest risk factor for melanoma, and although gene variants have been discovered for both traits, epigenetic variation is unexplored. We investigated 322 healthy human skin DNA methylomes associated with total body nevi count, incorporating genetic and transcriptomic variation. DNA methylation changes were identified at genes involved in melanocyte biology, such as RAF1 (P = 1.2x10(-6)) and CTC1 (region: P = 6.3 x 10(-4)), and other genes including ARRDC1 (P = 3.1 x 10(-7)). A subset exhibited coordinated methylation and transcription changes within the same biopsy. The total analysis was also enriched for melanoma-associated DNA methylation variation (P = 6.33 x 10(-6)). In addition, we show that skin DNA methylation is associated in cis with known genome-wide association study single nucleotide polymorphisms for nevus count, at PLA2G6 (P = 1.7 x 10(-49)) and NID1 (P = 6.4 x 10(-14)), as well as melanoma risk, including in or near MC1R, MX2, and TERT/CLPTM1L (P < 1 x 10(-10)). Our analysis using a uniquely large dataset comprising healthy skin DNA methylomes identified known and additional regulatory loci and pathways in nevi and melanoma biology. This integrative study improves our understanding of predisposition to nevi and their potential contribution to melanoma pathogenesis.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE INC, 2017
National Category
Dermatology and Venereal Diseases
Identifiers
urn:nbn:se:uu:diva-319526 (URN)10.1016/j.jid.2016.11.029 (DOI)000396884400020 ()27993549 (PubMedID)
Funder
EU, FP7, Seventh Framework Programme, 316758Wellcome trustSwedish Research Council, Dnr 350-2012-256
Available from: 2017-04-06 Created: 2017-04-06 Last updated: 2017-11-29Bibliographically approved
Carlsson Almlöf, J., Alexsson, A., Imgenberg-Kreuz, J., Sylwan, L., Bäcklin, C., Leonard, D., . . . Syvänen, A.-C. (2017). Novel risk genes for systemic lupus erythematosus predicted by random forest classification. Scientific Reports, 7, Article ID 6236.
Open this publication in new window or tab >>Novel risk genes for systemic lupus erythematosus predicted by random forest classification
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2017 (English)In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 7, article id 6236Article in journal (Refereed) Published
Abstract [en]

Genome-wide association studies have identified risk loci for SLE, but a large proportion of the genetic contribution to SLE still remains unexplained. To detect novel risk genes, and to predict an individual's SLE risk we designed a random forest classifier using SNP genotype data generated on the "Immunochip" from 1,160 patients with SLE and 2,711 controls. Using gene importance scores defined by the random forest classifier, we identified 15 potential novel risk genes for SLE. Of them 12 are associated with other autoimmune diseases than SLE, whereas three genes (ZNF804A, CDK1, and MANF) have not previously been associated with autoimmunity. Random forest classification also allowed prediction of patients at risk for lupus nephritis with an area under the curve of 0.94. By allele-specific gene expression analysis we detected cis-regulatory SNPs that affect the expression levels of six of the top 40 genes designed by the random forest analysis, indicating a regulatory role for the identified risk variants. The 40 top genes from the prediction were overrepresented for differential expression in B and T cells according to RNA-sequencing of samples from five healthy donors, with more frequent over-expression in B cells compared to T cells.

National Category
Rheumatology and Autoimmunity
Identifiers
urn:nbn:se:uu:diva-333524 (URN)10.1038/s41598-017-06516-1 (DOI)000406260100040 ()28740209 (PubMedID)
Funder
Swedish Research Council, 521-2014-2263, 521-2013-2830
Available from: 2017-11-14 Created: 2017-11-14 Last updated: 2017-11-14Bibliographically approved
Gallo, L. M., Lundstrom, E., Oke, V., Elvin, K., Wu, Y. L., Gustafsson, J., . . . Svenungsson, E. (2017). SLE Comprises Four Immune-Phenotypes, Which Differ Regarding HLA-DRB1 and Clinical Associations. Arthritis & Rheumatology, 69(S10), Article ID 1675.
Open this publication in new window or tab >>SLE Comprises Four Immune-Phenotypes, Which Differ Regarding HLA-DRB1 and Clinical Associations
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2017 (English)In: Arthritis & Rheumatology, ISSN 2326-5191, E-ISSN 2326-5205, Vol. 69, no S10, article id 1675Article in journal, Meeting abstract (Other academic) Published
National Category
Rheumatology and Autoimmunity
Identifiers
urn:nbn:se:uu:diva-346791 (URN)000411824103199 ()
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-03-22Bibliographically approved
Langefeld, C. D., Ainsworth, H. C., Graham, D. S. C., Kelly, J. A., Comeau, M. E., Marion, M. C., . . . Vyse, T. J. (2017). Transancestral mapping and genetic load in systemic lupus erythematosus. Nature Communications, 8, Article ID 16021.
Open this publication in new window or tab >>Transancestral mapping and genetic load in systemic lupus erythematosus
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2017 (English)In: Nature Communications, ISSN 2041-1723, E-ISSN 2041-1723, Vol. 8, article id 16021Article in journal (Refereed) Published
Abstract [en]

Systemic lupus erythematosus (SLE) is an autoimmune disease with marked gender and ethnic disparities. We report a large transancestral association study of SLE using Immunochip genotype data from 27,574 individuals of European (EA), African (AA) and Hispanic Amerindian (HA) ancestry. We identify 58 distinct non-HLA regions in EA, 9 in AA and 16 in HA (similar to 50% of these regions have multiple independent associations); these include 24 novel SLE regions (P < 5 x 10(-8)), refined association signals in established regions, extended associations to additional ancestries, and a disentangled complex HLA multigenic effect. The risk allele count (genetic load) exhibits an accelerating pattern of SLE risk, leading us to posit a cumulative hit hypothesis for autoimmune disease. Comparing results across the three ancestries identifies both ancestry-dependent and ancestry-independent contributions to SLE risk. Our results are consistent with the unique and complex histories of the populations sampled, and collectively help clarify the genetic architecture and ethnic disparities in SLE.

Place, publisher, year, edition, pages
NATURE PUBLISHING GROUP, 2017
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:uu:diva-331233 (URN)10.1038/ncomms16021 (DOI)000405680100001 ()28714469 (PubMedID)
Available from: 2017-10-16 Created: 2017-10-16 Last updated: 2018-02-19Bibliographically approved
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