Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Sara Hägg is active.

Publication


Featured researches published by Sara Hägg.


Nature Genetics | 2015

The impact of low-frequency and rare variants on lipid levels

Ida Surakka; Momoko Horikoshi; Reedik Mägi; Antti-Pekka Sarin; Anubha Mahajan; Vasiliki Lagou; Letizia Marullo; Teresa Ferreira; Benjamin Miraglio; Sanna Timonen; Johannes Kettunen; Matti Pirinen; Juha Karjalainen; Gudmar Thorleifsson; Sara Hägg; Jouke-Jan Hottenga; Aaron Isaacs; Claes Ladenvall; Marian Beekman; Tonu Esko; Janina S. Ried; Christopher P. Nelson; Christina Willenborg; Stefan Gustafsson; Harm-Jan Westra; Matthew Blades; Anton J. M. de Craen; Eco J. C. de Geus; Joris Deelen; Harald Grallert

Using a genome-wide screen of 9.6 million genetic variants achieved through 1000 Genomes Project imputation in 62,166 samples, we identify association to lipid traits in 93 loci, including 79 previously identified loci with new lead SNPs and 10 new loci, 15 loci with a low-frequency lead SNP and 10 loci with a missense lead SNP, and 2 loci with an accumulation of rare variants. In six loci, SNPs with established function in lipid genetics (CELSR2, GCKR, LIPC and APOE) or candidate missense mutations with predicted damaging function (CD300LG and TM6SF2) explained the locus associations. The low-frequency variants increased the proportion of variance explained, particularly for low-density lipoprotein cholesterol and total cholesterol. Altogether, our results highlight the impact of low-frequency variants in complex traits and show that imputation offers a cost-effective alternative to resequencing.


PLOS Genetics | 2009

Multi-organ expression profiling uncovers a gene module in coronary artery disease involving transendothelial migration of leukocytes and LIM domain binding 2: the Stockholm Atherosclerosis Gene Expression (STAGE) study.

Sara Hägg; Josefin Skogsberg; Jesper Lundström; Peri Noori; Roland Nilsson; Hua Zhong; Shohreh Maleki; Ming-Mei Shang; Björn Brinne; Maria Bradshaw; Vladimir B. Bajic; Ann Samnegård; Angela Silveira; Lee M. Kaplan; Bruna Gigante; Karin Leander; Ulf de Faire; Stefan Rosfors; Ulf Lockowandt; Jan Liska; Peter Konrad; Rabbe Takolander; Anders Franco-Cereceda; Eric E. Schadt; Torbjörn Ivert; Anders Hamsten; Jesper Tegnér; Johan Björkegren

Environmental exposures filtered through the genetic make-up of each individual alter the transcriptional repertoire in organs central to metabolic homeostasis, thereby affecting arterial lipid accumulation, inflammation, and the development of coronary artery disease (CAD). The primary aim of the Stockholm Atherosclerosis Gene Expression (STAGE) study was to determine whether there are functionally associated genes (rather than individual genes) important for CAD development. To this end, two-way clustering was used on 278 transcriptional profiles of liver, skeletal muscle, and visceral fat (n = 66/tissue) and atherosclerotic and unaffected arterial wall (n = 40/tissue) isolated from CAD patients during coronary artery bypass surgery. The first step, across all mRNA signals (n = 15,042/12,621 RefSeqs/genes) in each tissue, resulted in a total of 60 tissue clusters (n = 3958 genes). In the second step (performed within tissue clusters), one atherosclerotic lesion (n = 49/48) and one visceral fat (n = 59) cluster segregated the patients into two groups that differed in the extent of coronary stenosis (P = 0.008 and P = 0.00015). The associations of these clusters with coronary atherosclerosis were validated by analyzing carotid atherosclerosis expression profiles. Remarkably, in one cluster (n = 55/54) relating to carotid stenosis (P = 0.04), 27 genes in the two clusters relating to coronary stenosis were confirmed (n = 16/17, P<10−27and−30). Genes in the transendothelial migration of leukocytes (TEML) pathway were overrepresented in all three clusters, referred to as the atherosclerosis module (A-module). In a second validation step, using three independent cohorts, the A-module was found to be genetically enriched with CAD risk by 1.8-fold (P<0.004). The transcription co-factor LIM domain binding 2 (LDB2) was identified as a potential high-hierarchy regulator of the A-module, a notion supported by subnetwork analysis, by cellular and lesion expression of LDB2, and by the expression of 13 TEML genes in Ldb2–deficient arterial wall. Thus, the A-module appears to be important for atherosclerosis development and, together with LDB2, merits further attention in CAD research.


Diabetes | 2013

Evidence of a Causal Relationship Between Adiponectin Levels and Insulin Sensitivity: A Mendelian Randomization Study

He Gao; Tove Fall; Rob M. van Dam; Allan Flyvbjerg; Björn Zethelius; Erik Ingelsson; Sara Hägg

The adipocyte-secreted protein adiponectin is associated with insulin sensitivity in observational studies. We aimed to evaluate whether this relationship is causal using a Mendelian randomization approach. In a sample of Swedish men aged 71 years (n = 942) from the Uppsala Longitudinal Study of Adult Men (ULSAM), insulin sensitivity (M/I ratio) was measured by the euglycemic insulin clamp. We used three genetic variants in the ADIPOQ locus as instrumental variables (IVs) to estimate the potential causal effect of adiponectin on insulin sensitivity and compared these with results from conventional linear regression. The three ADIPOQ variants, rs17300539, rs3774261, and rs6444175, were strongly associated with serum adiponectin levels (all P ≤ 5.3 × 10−9) and were also significantly associated with M/I ratio in the expected direction (all P ≤ 0.022). IV analysis confirmed that genetically determined adiponectin increased insulin sensitivity (β = 0.47–0.81, all P ≤ 0.014) comparable with observational estimates (β = 0.50, all Pdifference ≥ 0.136). Adjustment for BMI and waist circumference partly explained the association of both genetically determined and observed adiponectin levels with insulin sensitivity. The observed association between higher adiponectin levels and increased insulin sensitivity is likely to represent a causal relationship partly mediated by reduced adiposity.


International Journal of Epidemiology | 2014

Leukocyte telomere length associates with prospective mortality independent of immune-related parameters and known genetic markers

Joris Deelen; Marian Beekman; Veryan Codd; Stella Trompet; Linda Broer; Sara Hägg; Krista Fischer; Peter E. Thijssen; H. Eka D. Suchiman; Iris Postmus; André G. Uitterlinden; Albert Hofman; Anton J. M. de Craen; Andres Metspalu; Nancy L. Pedersen; Cornelia M. van Duijn; J. Wouter Jukema; Jeanine J. Houwing-Duistermaat; Nilesh J. Samani; P. Eline Slagboom

Background: Human leukocyte telomere length (LTL) decreases with age and shorter LTL has previously been associated with increased prospective mortality. However, it is not clear whether LTL merely marks the health status of an individual by its association with parameters of immune function, for example, or whether telomere shortening also contributes causally to lifespan variation in humans. Methods: We measured LTL in 870 nonagenarian siblings (mean age 93 years), 1580 of their offspring and 725 spouses thereof (mean age 59 years) from the Leiden Longevity Study (LLS). Results: We found that shorter LTL is associated with increased prospective mortality in middle (30–80 years; hazard ratio (HR) = 0.75, P = 0.001) and highly advanced age (≥90 years; HR = 0.92, P = 0.028), and show that this association cannot be explained by the association of LTL with the immune-related markers insulin-like growth factor 1 to insulin-like growth factor binding protein 3 molar ratio, C-reactive protein, interleukin 6, cytomegalovirus serostatus or white blood cell counts. We found no difference in LTL between the middle-aged LLS offspring and their spouses (β = 0.006, P = 0.932). Neither did we observe an association of LTL-associated genetic variants with mortality in a prospective meta-analysis of multiple cohorts (n = 8165). Conclusions: We confirm LTL to be a marker of prospective mortality in middle and highly advanced age and additionally show that this association could not be explained by the association of LTL with various immune-related markers. Furthermore, the approaches performed here do not further support the hypothesis that LTL variation contributes to the genetic propensity for longevity.


International Journal of Epidemiology | 2015

Adiposity as a cause of cardiovascular disease: a Mendelian randomization study

Sara Hägg; Tove Fall; Alexander Ploner; Reedik Mägi; Krista Fischer; Harmen H. M. Draisma; Mart Kals; Paul S. de Vries; Abbas Dehghan; Sara M. Willems; Antti Pekka Sarin; Kati Kristiansson; Marja-Liisa Nuotio; Aki S. Havulinna; Renée F.A.G. de Bruijn; M. Arfan Ikram; Maris Kuningas; Bruno H. Stricker; Oscar H. Franco; Beben Benyamin; Christian Gieger; Alistair S. Hall; Ville Huikari; Antti Jula; Marjo-Riitta Järvelin; Marika Kaakinen; Jaakko Kaprio; Michael Kobl; Massimo Mangino; Christopher P. Nelson

BACKGROUND Adiposity, as indicated by body mass index (BMI), has been associated with risk of cardiovascular diseases in epidemiological studies. We aimed to investigate if these associations are causal, using Mendelian randomization (MR) methods. METHODS The associations of BMI with cardiovascular outcomes [coronary heart disease (CHD), heart failure and ischaemic stroke], and associations of a genetic score (32 BMI single nucleotide polymorphisms) with BMI and cardiovascular outcomes were examined in up to 22,193 individuals with 3062 incident cardiovascular events from nine prospective follow-up studies within the ENGAGE consortium. We used random-effects meta-analysis in an MR framework to provide causal estimates of the effect of adiposity on cardiovascular outcomes. RESULTS There was a strong association between BMI and incident CHD (HR = 1.20 per SD-increase of BMI, 95% CI, 1.12-1.28, P = 1.9.10(-7)), heart failure (HR = 1.47, 95% CI, 1.35-1.60, P = 9.10(-19)) and ischaemic stroke (HR = 1.15, 95% CI, 1.06-1.24, P = 0.0008) in observational analyses. The genetic score was robustly associated with BMI (β = 0.030 SD-increase of BMI per additional allele, 95% CI, 0.028-0.033, P = 3.10(-107)). Analyses indicated a causal effect of adiposity on development of heart failure (HR = 1.93 per SD-increase of BMI, 95% CI, 1.12-3.30, P = 0.017) and ischaemic stroke (HR = 1.83, 95% CI, 1.05-3.20, P = 0.034). Additional cross-sectional analyses using both ENGAGE and CARDIoGRAMplusC4D data showed a causal effect of adiposity on CHD. CONCLUSIONS Using MR methods, we provide support for the hypothesis that adiposity causes CHD, heart failure and, previously not demonstrated, ischaemic stroke.


EBioMedicine | 2017

Biological Age Predictors

Juulia Jylhävä; Nancy L. Pedersen; Sara Hägg

The search for reliable indicators of biological age, rather than chronological age, has been ongoing for over three decades, and until recently, largely without success. Advances in the fields of molecular biology have increased the variety of potential candidate biomarkers that may be considered as biological age predictors. In this review, we summarize current state-of-the-art findings considering six potential types of biological age predictors: epigenetic clocks, telomere length, transcriptomic predictors, proteomic predictors, metabolomics-based predictors, and composite biomarker predictors. Promising developments consider multiple combinations of these various types of predictors, which may shed light on the aging process and provide further understanding of what contributes to healthy aging. Thus far, the most promising, new biological age predictor is the epigenetic clock; however its true value as a biomarker of aging requires longitudinal confirmation.


PLOS Genetics | 2014

Plasma cholesterol-induced lesion networks activated before regression of early, mature, and advanced atherosclerosis.

Johan Björkegren; Sara Hägg; Husain A. Talukdar; Hassan Foroughi Asl; Rajeev K. Jain; Cecilia Cedergren; Ming-Mei Shang; Aránzazu Rossignoli; Rabbe Takolander; Olle Melander; Anders Hamsten; Tom Michoel; Josefin Skogsberg

Plasma cholesterol lowering (PCL) slows and sometimes prevents progression of atherosclerosis and may even lead to regression. Little is known about how molecular processes in the atherosclerotic arterial wall respond to PCL and modify responses to atherosclerosis regression. We studied atherosclerosis regression and global gene expression responses to PCL (≥80%) and to atherosclerosis regression itself in early, mature, and advanced lesions. In atherosclerotic aortic wall from Ldlr−/−Apob 100/100 Mttp flox/floxMx1-Cre mice, atherosclerosis regressed after PCL regardless of lesion stage. However, near-complete regression was observed only in mice with early lesions; mice with mature and advanced lesions were left with regression-resistant, relatively unstable plaque remnants. Atherosclerosis genes responding to PCL before regression, unlike those responding to the regression itself, were enriched in inherited risk for coronary artery disease and myocardial infarction, indicating causality. Inference of transcription factor (TF) regulatory networks of these PCL-responsive gene sets revealed largely different networks in early, mature, and advanced lesions. In early lesions, PPARG was identified as a specific master regulator of the PCL-responsive atherosclerosis TF-regulatory network, whereas in mature and advanced lesions, the specific master regulators were MLL5 and SRSF10/XRN2, respectively. In a THP-1 foam cell model of atherosclerosis regression, siRNA targeting of these master regulators activated the time-point-specific TF-regulatory networks and altered the accumulation of cholesterol esters. We conclude that PCL leads to complete atherosclerosis regression only in mice with early lesions. Identified master regulators and related PCL-responsive TF-regulatory networks will be interesting targets to enhance PCL-mediated regression of mature and advanced atherosclerotic lesions.


Diabetes | 2015

Age- and Sex-Specific Causal Effects of Adiposity on Cardiovascular Risk Factors

Tove Fall; Sara Hägg; Alexander Ploner; Reedik Mägi; Krista Fischer; Harmen H. M. Draisma; Antti-Pekka Sarin; Beben Benyamin; Claes Ladenvall; Mikael Åkerlund; Mart Kals; Tonu Esko; Christopher P. Nelson; Marika Kaakinen; Ville Huikari; Massimo Mangino; Aline Meirhaeghe; Kati Kristiansson; Marja-Liisa Nuotio; Michael Kobl; Harald Grallert; Abbas Dehghan; Maris Kuningas; Paul S. de Vries; Renée F.A.G. de Bruijn; Sara M. Willems; Kauko Heikkilä; Karri Silventoinen; Kirsi H. Pietiläinen; Vanessa Legry

Observational studies have reported different effects of adiposity on cardiovascular risk factors across age and sex. Since cardiovascular risk factors are enriched in obese individuals, it has not been easy to dissect the effects of adiposity from those of other risk factors. We used a Mendelian randomization approach, applying a set of 32 genetic markers to estimate the causal effect of adiposity on blood pressure, glycemic indices, circulating lipid levels, and markers of inflammation and liver disease in up to 67,553 individuals. All analyses were stratified by age (cutoff 55 years of age) and sex. The genetic score was associated with BMI in both nonstratified analysis (P = 2.8 × 10−107) and stratified analyses (all P < 3.3 × 10−30). We found evidence of a causal effect of adiposity on blood pressure, fasting levels of insulin, C-reactive protein, interleukin-6, HDL cholesterol, and triglycerides in a nonstratified analysis and in the <55-year stratum. Further, we found evidence of a smaller causal effect on total cholesterol (P for difference = 0.015) in the ≥55-year stratum than in the <55-year stratum, a finding that could be explained by biology, survival bias, or differential medication. In conclusion, this study extends previous knowledge of the effects of adiposity by providing sex- and age-specific causal estimates on cardiovascular risk factors.


Human Molecular Genetics | 2014

DNA mismatch repair gene MSH6 implicated in determining age at natural menopause

John Perry; Yi-Hsiang Hsu; Daniel I. Chasman; Andrew D. Johnson; Cathy E. Elks; Eva Albrecht; Irene L. Andrulis; Jonathan Beesley; Gerald S. Berenson; Sven Bergmann; Stig E. Bojesen; Manjeet K. Bolla; Judith E. Brown; Julie E. Buring; Harry Campbell; Jenny Chang-Claude; Georgia Chenevix-Trench; Tanguy Corre; Fergus J. Couch; Angela Cox; Kamila Czene; Adamo Pio D'Adamo; Gail Davies; Ian J. Deary; Joe Dennis; Douglas F. Easton; Ellen G. Engelhardt; Johan G. Eriksson; Tonu Esko; Peter A. Fasching

The length of female reproductive lifespan is associated with multiple adverse outcomes, including breast cancer, cardiovascular disease and infertility. The biological processes that govern the timing of the beginning and end of reproductive life are not well understood. Genetic variants are known to contribute to ∼50% of the variation in both age at menarche and menopause, but to date the known genes explain <15% of the genetic component. We have used genome-wide association in a bivariate meta-analysis of both traits to identify genes involved in determining reproductive lifespan. We observed significant genetic correlation between the two traits using genome-wide complex trait analysis. However, we found no robust statistical evidence for individual variants with an effect on both traits. A novel association with age at menopause was detected for a variant rs1800932 in the mismatch repair gene MSH6 (P = 1.9 × 10−9), which was also associated with altered expression levels of MSH6 mRNA in multiple tissues. This study contributes to the growing evidence that DNA repair processes play a key role in ovarian ageing and could be an important therapeutic target for infertility.


BMC Public Health | 2012

Relative deprivation and mortality--a longitudinal study in a Swedish population of 4.7 million, 1990-2006.

Monica Åberg Yngwe; Naoki Kondo; Sara Hägg; Ichiro Kawachi

BackgroundRelative deprivation has previously been discussed as a possible mechanism underlying the income-health relation. The idea is that income matters to the individual’s health, over and above the increased command over resources, as the basis of social comparisons between a person and his or her reference group. The following study aimed to analyze the role of individual-level relative deprivation for all-cause mortality in the Swedish population. The Swedish context, characterized by relatively small income inequalities and promoting values as egalitarianism and equality, together with a large data material provide unique possibilities for analyzing the hypothesized mechanism.MethodsThe data used are prospective longitudinal data from the Swedish population and based on a linkage of registers. Restricting selection to individuals 25–64 years, alive January 1st 1990, gave 4.7 million individuals, for whom a mortality follow-up was done over a 16-year period. The individual level relative deprivation was measured using the Yitzhaki index, calculating the accumulated shortfall between the individual’s income and the income of all other’s in the person’s reference group. All-cause mortality was used as the outcome measure.ResultsRelative deprivation, generated through social comparisons, is one possible mechanism within the income and health relation. The present study analyzed different types of objectively defined reference groups, all based on the idea that people compare themselves to similar others. Results show relative deprivation, when measured by the Yitzhaki index, to be significantly associated with mortality. Also, we found a stronger effect among men than among women. Analyzing the association within different income strata, the effect was shown to be weak among the poorest. Revealing the importance of relative deprivation for premature mortality, over and above the effect of absolute income, these results resemble previous findings.ConclusionRelative deprivation, based on social comparisons of income, is significantly associated with premature mortality in Sweden, over and above the effect of absolute income. Also, it was found to be more important among men, but weak among the poorest.

Collaboration


Dive into the Sara Hägg's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Johan Björkegren

Icahn School of Medicine at Mount Sinai

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge