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About me

Associate Professor (Docent) in molecular epidemiology at the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet.


  • PhD in Computational Biology, Linköping University, 2009
  • MSc in Molecular Biology, Stockholm University, 2003
  • BSc in Computer Science, Stockholm University, 2003


  • Genetic epidemiology, Medical epidemiology and biostatistics (MEB), KI, 2011-2014
  • Molecular epidemiology, Department of medical sciences, Uppsala University, 2013-2014


  • Stanford University School of Medicine, 2016


Research description

My main research interest is in the field of aging and age-related diseases, applying molecular epidemiological methods. At the moment I am conducting analyses of different biological age predictors (telomere length, epigenetic clock, frailty index, etc) in several twin studies of aging (SATSA, GENDER, HARMONY, OCTO-Twin, TwinGene) within the Swedish Twin Registry and also using UK biobank data. Methods that I use include longitudinal modelling, causal analyses using Mendelian Randomization, and large-scale genome-wide approaches. 

For a more detailed description of my current research please visit my project page Molecular epidemiology studies of aging and aging-related diseases.

Visiting faculty


Doctoral students

Teaching portfolio

I am course organizer of Genetic Epidemiology (1.5 ECT) which is a course for PhD-students where we cover basics in genetics and discuss large-scale genetic association studies.


Circulating insulin-like growth factors and Alzheimer disease: A mendelian randomization study
Williams Dm, Karlsson Ik, Pedersen Nl, Hägg S
Neurology 2018;90(4):e291-e297

An epigenome-wide association study meta-analysis of educational attainment
Karlsson Linnér R, Marioni Re, Rietveld Ca, Simpkin Aj, Davies Nm, Watanabe K, et al
Molecular psychiatry 2017;22(12):1680-1690

Biological Age Predictors
Jylhävä J, Pedersen Nl, Hägg S
EBioMedicine 2017;21():29-36

Exploring the Causal Pathway From Telomere Length to Coronary Heart Disease: A Network Mendelian Randomization Study
Zhan Y, Karlsson Ik, Karlsson R, Tillander A, Reynolds Ca, Pedersen Nl, et al
Circulation research 2017;121(3):214-219

Frailty index as a predictor of all-cause and cause-specific mortality in a Swedish population-based cohort
Jiang M, Foebel Ad, Kuja-halkola R, Karlsson I, Pedersen Nl, Hägg S, et al
Aging 2017;9(12):2629-2646

Genetic susceptibility to cardiovascular disease and risk of dementia
Karlsson Ik, Ploner A, Song C, Gatz M, Pedersen Nl, Hägg S
Translational psychiatry 2017;7(5):e1142-

Short telomere length is associated with impaired cognitive performance in European ancestry cohorts
Hägg S, Zhan Y, Karlsson R, Gerritsen L, Ploner A, Van Der Lee Sj, et al
Translational psychiatry 2017;7(4):e1100-

Vitamin D and cognitive function: A Mendelian randomisation study
Maddock J, Zhou A, Cavadino A, Kuźma E, Bao Y, Smart Mc, et al
Scientific reports 2017;7(1):13230-

Large-scale non-targeted metabolomic profiling in three human population-based studies
Ganna A, Fall T, Salihovic S, Lee W, Broeckling Cd, Kumar J, et al
METABOLOMICS 2016;12(1):-

Longitudinal decline of leukocyte telomere length in old age and the association with sex and genetic risk
Berglund K, Reynolds Ca, Ploner A, Gerritsen L, Hovatta I, Pedersen Nl, et al
Aging 2016;8(7):1398-415

Adiposity as a cause of cardiovascular disease: a Mendelian randomization study
Hägg S, Fall T, Ploner A, Mägi R, Fischer K, Draisma Hh, et al
International journal of epidemiology 2015;44(2):578-86

Age- and sex-specific causal effects of adiposity on cardiovascular risk factors
Fall T, Hägg S, Ploner A, Mägi R, Fischer K, Draisma Hh, et al
Diabetes 2015;64(5):1841-52

Discovery and Fine-Mapping of Glycaemic and Obesity-Related Trait Loci Using High-Density Imputation
Engage Consortium, Horikoshi M, Magi R, Van De Bunt M, Surakka I, Sarin Ap, et al
PLOS GENETICS 2015;11(7):e1005230-

Dominant Genetic Variation and Missing Heritability for Human Complex Traits: Insights from Twin versus Genome-wide Common SNP Models
Chen X, Kuja-halkola R, Rahman I, Arpegård J, Viktorin A, Karlsson R, et al
American journal of human genetics 2015;97(5):708-14

Gene-based meta-analysis of genome-wide association studies implicates new loci involved in obesity
Hägg S, Ganna A, Van Der Laan Sw, Esko T, Pers Th, Locke Ae, et al
Human molecular genetics 2015;24(23):6849-60

Telomere Length Shortening and Alzheimer Disease--A Mendelian Randomization Study
Zhan Y, Song C, Karlsson R, Tillander A, Reynolds Ca, Pedersen Nl, et al
JAMA neurology 2015;72(10):1202-3

The impact of low-frequency and rare variants on lipid levels
Surakka I, Horikoshi M, Mägi R, Sarin Ap, Mahajan A, Lagou V, et al
Nature genetics 2015;47(6):589-97

DNA mismatch repair gene MSH6 implicated in determining age at natural menopause
Reprogen Consortium, Kconfab Investigators, Perry Jrb, Hsu Yh, Chasman Di, Johnson Ad, et al

Inactivation of the budding yeast cohesin loader Scc2 alters gene expression both globally and in response to a single DNA double strand break
Lindgren E, Hägg S, Giordano F, Björkegren J, Ström L
Cell cycle (Georgetown, Tex.) 2014;13(23):3645-58

Leukocyte telomere length associates with prospective mortality independent of immune-related parameters and known genetic markers
Deelen J, Beekman M, Codd V, Trompet S, Broer L, Hägg S, et al
International journal of epidemiology 2014;43(3):878-86

Plasma cholesterol-induced lesion networks activated before regression of early, mature, and advanced atherosclerosis
Björkegren Jl, Hägg S, Talukdar Ha, Foroughi Asl H, Jain Rk, Cedergren C, et al
PLoS genetics 2014;10(2):e1004201-

Serum selenium in relation to measures of glucose metabolism and incidence of Type 2 diabetes in an older Swedish population
Gao H, Hägg S, Sjögren P, Lambert Pc, Ingelsson E, Van Dam Rm
Diabetic medicine : a journal of the British Diabetic Association 2014;31(7):787-93

Telomere length in circulating leukocytes is associated with lung function and disease
Albrecht E, Sillanpaa E, Karrasch S, Alves Ac, Codd V, Hovatta I, et al

Evidence of a Causal Relationship Between Adiponectin Levels and Insulin Sensitivity
Gao H, Fall T, Van Dam Rm, Flyvbjerg A, Zethelius B, Ingelsson E, et al
DIABETES 2013;62(4):1338-44

GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
Lifelines Cohort Study, Rietveld Ca, Medland Se, Derringer J, Yang J, Esko T, et al
SCIENCE 2013;340(6139):1467-71

Identification of seven loci affecting mean telomere length and their association with disease
Codd V, Nelson Cp, Albrecht E, Mangino M, Deelen J, Buxton Jl, et al
Nature genetics 2013;45(4):422-7

The role of adiposity in cardiometabolic traits: a Mendelian randomization analysis
Fall T, Hägg S, Mägi R, Ploner A, Fischer K, Horikoshi M, et al
PLoS medicine 2013;10(6):e1001474-

Variation in genes in the endothelin pathway and endothelium-dependent and endothelium-independent vasodilation in an elderly population
Lind L, Syvänen Ac, Axelsson T, Lundmark P, Hägg S, Larsson A
Acta physiologica (Oxford, England) 2013;208(1):88-94

Relative deprivation and mortality--a longitudinal study in a Swedish population of 4.7 million, 1990-2006
Åberg Yngwe M, Kondo N, Hägg S, Kawachi I
BMC public health 2012;12():664-

Blood levels of dual-specificity phosphatase-1 independently predict risk for post-operative morbidities causing prolonged hospitalization after coronary artery bypass grafting
Hagg S, Alserius T, Noori P, Ruusalepp A, Ivert T, Tegner J, et al

Carotid Plaque Age Is a Feature of Plaque Stability Inversely Related to Levels of Plasma Insulin
Hagg S, Salehpour M, Noori P, Lundstrom J, Possnert G, Takolander R, et al
PLOS ONE 2011;6(4):e18248-

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
Hagg S, Skogsberg J, Lundstrom J, Noori P, Nilsson R, Zhong H, et al
PLOS GENETICS 2009;5(12):e1000754-

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