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The fields of human genetics and genomics have generated considerable knowledge about the mechanistic basis of many diseases. Genomic approaches to diagnosis, prognostication, prevention and treatment - genomic-driven precision medicine (GDPM) - may help optimize medical practice. Here, we provide a comprehensive review of GDPM of complex diseases across major medical specialties. We focus on technological readiness: how rapidly a test can be implemented into health care. Although these areas of medicine are diverse, key similarities exist across almost all areas. Many medical areas have, within their standards of care, at least one GDPM test for a genetic variant of strong effect that aids the identification/diagnosis of a more homogeneous subset within a larger disease group or identifies a subset with different therapeutic requirements. However, for almost all complex diseases, the majority of patients do not carry established single-gene mutations with large effects. Thus, research is underway that seeks to determine the polygenic basis of many complex diseases. Nevertheless, most complex diseases are caused by the interplay of genetic, behavioural and environmental risk factors, which will likely necessitate models for prediction and diagnosis that incorporate genetic and non-genetic data. Funding Agencies|SciLifeLab; Swedish Research Council (Vetenskapsradet)Swedish Research Council [D0886501]; US National Institute of Mental HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Mental Health (NIMH) [MH077139, MH1095320]; European UnionEuropean Commission [610307, 733161, 825843]; Swedish Cancer SocietySwedish Cancer Society; Swedish Research CouncilSwedish Research CouncilEuropean Commission [2018-02837, 2014-03352, 2009-1039, 2018-03307]; Knut and Alice Wallenberg FoundationKnut & Alice Wallenberg Foundation; Karolinska Institutet, Karolinska University HospitalKarolinska Institutet; Radiumhemmets Forskningsfonder; European Research CouncilEuropean Research Council (ERC)European Commission [CoG-2015_681742_NASCENT]; Swedish Heart-Lung FoundationSwedish Heart-Lung Foundation [20160872]; Swedish Foundation for Strategic Research (IRC Center); Novo Nordisk FoundationNovo Nordisk FoundationNovocure Limited; ALF; Strategic Research Area Epidemiology at Karolinska Institutet; Swedish Rheumatism Association; Vth 80-year Foundation; Swedish Society of Medicine; Clinical Research Support (Avtal om Lakarutbildning och Forskning); Swedish government; county councils; ALF-agreement; Swedish Foundation for Strategic ResearchSwedish Foundation for Strategic Research [15-0067]; IMI2 Joint Undertaking [115974]; European Federation of Pharmaceutical Industries and Associations with JDRF; H2020 Program ERA PerMed JTC 2018 Call (VR) [2018-05619]

Background Ischemic stroke and coronary heart disease are important contributors to the global disease burden and share atherosclerosis as the main underlying cause. Recent evidence from a genome-wide association study (GWAS) suggested that single nucleotide polymorphisms (SNP) near the MMP12 gene at chromosome 11q22.3 were associated with large-vessel ischemic stroke. Here we evaluated and extended these results by examining the relationship between MMP12 and atherosclerosis in clinical and experimental studies. Methods and Results Plasma concentrations of MMP-12 were measured at baseline in 3 394 subjects with high-risk for cardiovascular disease (CVD) using the Olink ProSeek CVD I array. The plasma MMP-12 concentration showed association with incident cardiovascular and cerebrovascular events (130 and 67 events respectively over 36 months) and carotid intima-media thickness progression (p=3.6x10-5). A GWAS of plasma MMP-12 concentrations revealed that SNPs rs499459, rs613084 and rs1892971 at chr11q22.3 were independently associated with plasma MMP-12 (p

Objectives. A common nonsynonymous single nucleotide polymorphism (SNP) in the CD93 gene (rs3746731, Pro541Ser) has been associated with risk of coronary artery disease (CAD). CD93 is a transmembrane glycoprotein, which is detectable in soluble form in human plasma. We investigated whether the concentration of soluble CD93 in plasma is related to risk of myocardial infarction (MI) and CAD, using a case-control study of premature MI (n = 764) and a nested case-control analysis of a longitudinal cohort study of 60-year-old subjects (analysis comprising 844 of 4232 subjects enrolled at baseline). In addition, SNPs in the CD93 gene were studied in relation to plasma CD93 concentration and CD93 mRNA expression. Methods and Results. A sensitive and specific enzyme-linked immunosorbent assay was established for determination of the plasma CD93 concentration. Subjects were divided into three groups according to tertiles of the distribution of CD93 concentration. Lower odds ratios for risk of MI and incidence of CAD were observed in the middle CD93 tertile (142-173 mu g L(-1)): odds ratio (95% confidence interval), 0.69 (0.49-0.97) and 0.61 (0.40-0.94), respectively. These associations were independent of traditional CAD risk factors. The minor allele of a SNP in the 3' untranslated region of CD93(rs2749812) was associated with increased plasma CD93 concentrations (P = 0.03) and increased CD93 mRNA expression levels (P = 0.02). Conclusion. The results of the present study suggest that the concentration of soluble CD93 in plasma is a potential novel biomarker for CAD, including MI.

Objective The main aim of this study was to identify foetal susceptibility genes on chromosome six for Ro/SSA autoantibody-mediated congenital heart block. Subjects and Design Single nucleotide polymorphism (SNP) genotyping of individuals in the Swedish Congenital Heart Block (CHB) study population was performed. Low-resolution HLA-A, -Cw and -DRB1 allele typing was carried out in 86 families comprising 339 individuals (86 Ro/SSA autoantibody-positive mothers, 71 fathers, 87 CHB index cases and 95 unaffected siblings). Results A case–control comparison between index cases and population-based out-of-study controls (n = 1710) revealed association of CHB with 15 SNPs in the 6p21.3 MHC locus at a chromosome-wide significance of P