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Dive into the research topics where Siegfried Perz is active.

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Featured researches published by Siegfried Perz.


The New England Journal of Medicine | 1994

Association between a Deletion Polymorphism of the Angiotensin-Converting-Enzyme Gene and Left Ventricular Hypertrophy

Heribert Schunkert; Hans-Werner Hense; Stephan Holmer; Monica Stender; Siegfried Perz; Ulrich Keil; Beverly H. Lorell; Günter A.J. Riegger

BACKGROUND Epidemiologic studies have shown that left ventricular hypertrophy is often found in the absence of an elevated cardiac workload. To investigate whether such hypertrophy is determined in part by genetic factors, we studied the association between this condition, as assessed by electrocardiographic criteria, and a deletion (D)-insertion (I) polymorphism of the angiotensin-converting-enzyme (ACE) gene. METHODS A population-based random sample of 711 women and 717 men 45 to 59 years of age was studied cross-sectionally in Augsburg, Germany. Electrocardiographic indexes, including the Sokolow-Lyon index, Minnesota Code 3.1, and the Rautaharju equations, were used to detect left ventricular hypertrophy. The status of the ACE gene with respect to the deletion-insertion allele was determined by the polymerase chain reaction in all subjects with left ventricular hypertrophy and an identical number of control subjects without the condition who were matched for age, sex, and blood-pressure status. RESULTS We identified 141 women and 149 men with evidence of left ventricular hypertrophy. Among these subjects, an excess were homozygous for the D allele of the ACE gene (odds ratio, 1.76; 95 percent confidence interval, 1.22 to 2.53; P = 0.003). The association of the DD genotype with left ventricular hypertrophy was stronger in men (odds ratio, 2.63; 95 percent confidence interval, 1.50 to 4.64; P < 0.001) than in women and was most prominent when blood-pressure measurements were normal (odds ratio, 4.05; 95 percent confidence interval, 1.76 to 9.28; P = 0.001). This association was evident for each of the scores recorded in the electrocardiographic testing for left ventricular hypertrophy. CONCLUSIONS The findings suggest that left ventricular hypertrophy is partially determined by genetic disposition. They identify the DD genotype of ACE as a potential genetic marker associated with an elevated risk of left ventricular hypertrophy in middle-aged men.


Nature Genetics | 2006

A common genetic variant in the NOS1 regulator NOS1AP modulates cardiac repolarization

Dan E. Arking; Arne Pfeufer; Wendy S. Post; W.H. Linda Kao; Christopher Newton-Cheh; Morna Ikeda; Kristen West; Carl S. Kashuk; Mahmut Akyol; Siegfried Perz; Shapour Jalilzadeh; Thomas Illig; Christian Gieger; Chao Yu Guo; Martin G. Larson; H.-Erich Wichmann; Eduardo Marban; Christopher J. O'Donnell; Joel N. Hirschhorn; Stefan Kääb; Peter M. Spooner; Thomas Meitinger; Aravinda Chakravarti

Extremes of the electrocardiographic QT interval, a measure of cardiac repolarization, are associated with increased cardiovascular mortality. We identified a common genetic variant influencing this quantitative trait through a genome-wide association study on 200 subjects at the extremes of a population-based QT interval distribution of 3,966 subjects from the KORA cohort in Germany, with follow-up screening of selected markers in the remainder of the cohort. We validated statistically significant findings in two independent samples of 2,646 subjects from Germany and 1,805 subjects from the US Framingham Heart Study. This genome-wide study identified NOS1AP (CAPON), a regulator of neuronal nitric oxide synthase, as a new target that modulates cardiac repolarization. Approximately 60% of subjects of European ancestry carry at least one minor allele of the NOS1AP genetic variant, which explains up to 1.5% of QT interval variation.


Nature Genetics | 2010

Common variants in KCNN3 are associated with lone atrial fibrillation

Patrick T. Ellinor; Kathryn L. Lunetta; Nicole L. Glazer; Arne Pfeufer; Alvaro Alonso; Mina K. Chung; Moritz F. Sinner; Paul I. W. de Bakker; Martina Mueller; Steven A. Lubitz; Ervin R. Fox; Dawood Darbar; Nicholas L. Smith; Jonathan D. Smith; Renate B. Schnabel; Elsayed Z. Soliman; Kenneth Rice; David R. Van Wagoner; Britt-M. Beckmann; Charlotte van Noord; Ke Wang; Georg Ehret; Jerome I. Rotter; Stanley L. Hazen; Gerhard Steinbeck; Albert V. Smith; Lenore J. Launer; Tamara B. Harris; Seiko Makino; Mari Nelis

Atrial fibrillation (AF) is the most common sustained arrhythmia. Previous studies have identified several genetic loci associated with typical AF. We sought to identify common genetic variants underlying lone AF. This condition affects a subset of individuals without overt heart disease and with an increased heritability of AF. We report a meta-analysis of genome-wide association studies conducted using 1,335 individuals with lone AF (cases) and 12,844 unaffected individuals (referents). Cases were obtained from the German AF Network, Heart and Vascular Health Study, the Atherosclerosis Risk in Communities Study, the Cleveland Clinic and Massachusetts General Hospital. We identified an association on chromosome 1q21 to lone AF (rs13376333, adjusted odds ratio = 1.56; P = 6.3 × 10−12), and we replicated this association in two independent cohorts with lone AF (overall combined odds ratio = 1.52, 95% CI 1.40–1.64; P = 1.83 × 10−21). rs13376333 is intronic to KCNN3, which encodes a potassium channel protein involved in atrial repolarization.


Nature Genetics | 2012

Meta-analysis identifies six new susceptibility loci for atrial fibrillation

Patrick T. Ellinor; Kathryn L. Lunetta; Christine M. Albert; Nicole L. Glazer; Marylyn D. Ritchie; Albert V. Smith; Dan E. Arking; Martina Müller-Nurasyid; Bouwe P. Krijthe; Steven A. Lubitz; Joshua C. Bis; Mina K. Chung; Marcus Dörr; Kouichi Ozaki; Jason D. Roberts; J. Gustav Smith; Arne Pfeufer; Moritz F. Sinner; Kurt Lohman; Jingzhong Ding; Nicholas L. Smith; Jonathan D. Smith; Michiel Rienstra; Kenneth Rice; David R. Van Wagoner; Jared W. Magnani; Reza Wakili; Sebastian Clauss; Jerome I. Rotter; Gerhard Steinbeck

Atrial fibrillation is a highly prevalent arrhythmia and a major risk factor for stroke, heart failure and death. We conducted a genome-wide association study (GWAS) in individuals of European ancestry, including 6,707 with and 52,426 without atrial fibrillation. Six new atrial fibrillation susceptibility loci were identified and replicated in an additional sample of individuals of European ancestry, including 5,381 subjects with and 10,030 subjects without atrial fibrillation (P < 5 × 10−8). Four of the loci identified in Europeans were further replicated in silico in a GWAS of Japanese individuals, including 843 individuals with and 3,350 individuals without atrial fibrillation. The identified loci implicate candidate genes that encode transcription factors related to cardiopulmonary development, cardiac-expressed ion channels and cell signaling molecules.


Nature Genetics | 2009

Common variants at ten loci modulate the QT interval duration in the QTSCD Study

Arne Pfeufer; Serena Sanna; Dan E. Arking; Martina Müller; Vesela Gateva; Christian Fuchsberger; Georg B. Ehret; Marco Orru; Cristian Pattaro; Anna Köttgen; Siegfried Perz; Gianluca Usala; Maja Barbalic; Man Li; Benno Pütz; Angelo Scuteri; Ronald J. Prineas; Moritz F. Sinner; Christian Gieger; Samer S. Najjar; W.H. Linda Kao; Thomas W. Mühleisen; Mariano Dei; Christine Happle; Stefan Möhlenkamp; Laura Crisponi; Raimund Erbel; Karl-Heinz Jöckel; Silvia Naitza; Gerhard Steinbeck

The QT interval, a measure of cardiac repolarization, predisposes to ventricular arrhythmias and sudden cardiac death (SCD) when prolonged or shortened. A common variant in NOS1AP is known to influence repolarization. We analyze genome-wide data from five population-based cohorts (ARIC, KORA, SardiNIA, GenNOVA and HNR) with a total of 15,842 individuals of European ancestry, to confirm the NOS1AP association and identify nine additional loci at P < 5 × 10−8. Four loci map near the monogenic long-QT syndrome genes KCNQ1, KCNH2, SCN5A and KCNJ2. Two other loci include ATP1B1 and PLN, genes with established electrophysiological function, whereas three map to RNF207, near LITAF and within NDRG4-GINS3-SETD6-CNOT1, respectively, all of which have not previously been implicated in cardiac electrophysiology. These results, together with an accompanying paper from the QTGEN consortium, identify new candidate genes for ventricular arrhythmias and SCD.


Nature Genetics | 2010

Genome-wide association study of PR interval

Arne Pfeufer; Charlotte van Noord; Kristin D. Marciante; Dan E. Arking; Martin G. Larson; Albert V. Smith; Kirill V. Tarasov; Martina Müller; Nona Sotoodehnia; Moritz F. Sinner; Germaine C. Verwoert; Man Li; W.H. Linda Kao; Anna Köttgen; Josef Coresh; Joshua C. Bis; Bruce M. Psaty; Kenneth Rice; Jerome I. Rotter; Fernando Rivadeneira; Albert Hofman; Jan A. Kors; Bruno H. Stricker; André G. Uitterlinden; Cornelia M. van Duijn; Britt M. Beckmann; Wiebke Sauter; Christian Gieger; Steven A. Lubitz; Christopher Newton-Cheh

The electrocardiographic PR interval (or PQ interval) reflects atrial and atrioventricular nodal conduction, disturbances of which increase risk of atrial fibrillation. We report a meta-analysis of genome-wide association studies for PR interval from seven population-based European studies in the CHARGE Consortium: AGES, ARIC, CHS, FHS, KORA, Rotterdam Study, and SardiNIA (N = 28,517). We identified nine loci associated with PR interval at P < 5 × 10−8. At the 3p22.2 locus, we observed two independent associations in voltage-gated sodium channel genes, SCN10A and SCN5A. Six of the loci were near cardiac developmental genes, including CAV1-CAV2, NKX2-5 (CSX1), SOX5, WNT11, MEIS1, and TBX5-TBX3, providing pathophysiologically interesting candidate genes. Five of the loci, SCN5A, SCN10A, NKX2-5, CAV1-CAV2, and SOX5, were also associated with atrial fibrillation (N = 5,741 cases, P < 0.0056). This suggests a role for common variation in ion channel and developmental genes in atrial and atrioventricular conduction as well as in susceptibility to atrial fibrillation.


Nature Genetics | 2009

Variants in ZFHX3 are associated with atrial fibrillation in individuals of European ancestry

Emelia J. Benjamin; Kenneth Rice; Dan E. Arking; Arne Pfeufer; Charlotte van Noord; Albert V. Smith; Renate B. Schnabel; Joshua C. Bis; Eric Boerwinkle; Moritz F. Sinner; Abbas Dehghan; Steven A. Lubitz; Ralph B. D'Agostino; Thomas Lumley; Georg B. Ehret; Jan Heeringa; Thor Aspelund; Christopher Newton-Cheh; Martin G. Larson; Kristin D. Marciante; Elsayed Z. Soliman; Fernando Rivadeneira; Thomas J. Wang; Gudny Eiriksdottir; Daniel Levy; Bruce M. Psaty; Man Li; Alanna M. Chamberlain; Albert Hofman; Tamara B. Harris

We conducted meta-analyses of genome-wide association studies for atrial fibrillation (AF) in participants from five community-based cohorts. Meta-analyses of 896 prevalent (15,768 referents) and 2,517 incident (21,337 referents) AF cases identified a new locus for AF (ZFHX3, rs2106261, risk ratio RR = 1.19; P = 2.3 × 10−7). We replicated this association in an independent cohort from the German AF Network (odds ratio = 1.44; P = 1.6 × 10−11; combined RR = 1.25; combined P = 1.8 × 10−15).


PLOS Medicine | 2010

Association of Early Repolarization Pattern on ECG with Risk of Cardiac and All-Cause Mortality: A Population-Based Prospective Cohort Study (MONICA/KORA)

Moritz F. Sinner; Wibke Reinhard; Martina Müller; Britt-Maria Beckmann; Eimo Martens; Siegfried Perz; Arne Pfeufer; Janina Winogradow; Klaus Stark; Christa Meisinger; H.-Erich Wichmann; Annette Peters; Günter A.J. Riegger; Gerhard Steinbeck; Christian Hengstenberg; Stefan Kääb

In a population-based cohort study of middle-aged people in Central Europe, Stefan Kääb and colleagues find an association between electrocardiographic early repolarization pattern and mortality risk.


European Heart Journal | 2008

Large scale replication and meta-analysis of variants on chromosome 4q25 associated with atrial fibrillation.

Stefan Kääb; Dawood Darbar; Charlotte van Noord; Josée Dupuis; Arne Pfeufer; Christopher Newton-Cheh; Renate B. Schnabel; Seiko Makino; Moritz F. Sinner; Prince J. Kannankeril; Britt M. Beckmann; Subbarao Choudry; Brian S. Donahue; Jan Heeringa; Siegfried Perz; Kathryn L. Lunetta; Martin G. Larson; Daniel Levy; Calum A. MacRae; Jeremy N. Ruskin; Annette Wacker; Albert Schömig; H.-Erich Wichmann; Gerhard Steinbeck; Thomas Meitinger; André G. Uitterlinden; Jacqueline C. M. Witteman; Dan M. Roden; Emelia J. Benjamin; Patrick T. Ellinor

AIMS A recent genome-wide association study identified a haplotype block on chromosome 4q25 associated with atrial fibrillation (AF). We sought to replicate this association in four independent cohorts. METHODS AND RESULTS The Framingham Heart Study and Rotterdam Study are community-based longitudinal studies. The Vanderbilt AF Registry and German AF Network (AFNet) are case-control studies. Participants with AF (n = 3508) were more likely to be male and were older than referent participants (n = 12 173; Framingham 82 +/- 10 vs. 71 +/- 13 years; Rotterdam 73 +/- 8 vs. 69 +/- 9 years; Vanderbilt 54 +/- 14 vs. 57 +/- 14 years; AFNet 62 +/- 12 vs. 49 +/- 14 years). Single nucleotide polymorphism (SNP) rs2200733 was associated with AF in all four cohorts, with odds ratios (ORs) ranging from 1.37 in Rotterdam [95% confidence interval (CI) 1.18-1.59; P = 3.1 x 10(-5)] to 2.52 in AFNet (95% CI 2.22-2.8; P = 1.8 x 10(-49)). There also was a significant association between AF and rs10033464 in Framingham (OR 1.34; 95% CI 1.03-1.75; P = 0.031) and AFNet (OR 1.30; 95% CI 1.13-1.51; P = 0.0002), but not Vanderbilt (OR 1.16; 95% CI 0.86-1.56; P = 0.33). A meta-analysis of the current and prior AF studies revealed an OR of 1.90 (95% CI 1.60-2.26; P = 3.3 x 10(-13)) for rs2200733 and of 1.36 (95% CI 1.26-1.47; P = 6.7 x 10(-15)) for rs10033464. CONCLUSION The non-coding SNPs rs2200733 and rs10033464 are strongly associated with AF in four cohorts of European descent. These results confirm the significant relations between AF and intergenic variants on chromosome 4.


Circulation Research | 2005

Common variants in myocardial Ion channel genes modify the QT interval in the general population : Results from the KORA study

Arne Pfeufer; Shapour Jalilzadeh; Siegfried Perz; Jakob C. Mueller; Martin Hinterseer; Thomas Illig; Mahmut Akyol; Cornelia Huth; Andreas Schöpfer-Wendels; Bernhard Kuch; Gerhard Steinbeck; Rolf Holle; Michael Nabauer; H.-Erich Wichmann; Thomas Meitinger; Stefan Kääb

Altered myocardial repolarization is one of the important substrates of ventricular tachycardia and fibrillation. The influence of rare gene variants on repolarization is evident in familial long QT syndrome. To investigate the influence of common gene variants on the QT interval we performed a linkage disequilibrium based SNP association study of four candidate genes. Using a two-step design we analyzed 174 SNPs from the KCNQ1, KCNH2, KCNE1, and KCNE2 genes in 689 individuals from the population-based KORA study and 14 SNPs with results suggestive of association in a confirmatory sample of 3277 individuals from the same survey. We detected association to a gene variant in intron 1 of the KCNQ1 gene (rs757092, +1.7 ms/allele, P=0.0002) and observed weaker association to a variant upstream of the KCNE1 gene (rs727957, +1.2 ms/allele, P=0.0051). In addition we detected association to two SNPs in the KCNH2 gene, the previously described K897T variant (rs1805123, −1.9 ms/allele, P=0.0006) and a gene variant that tags a different haplotype in the same block (rs3815459, +1.7 ms/allele, P=0.0004). The analysis of additive effects by an allelic score explained a 10.5 ms difference in corrected QT interval length between extreme score groups and 0.951 of trait variance (P<0.00005). These results confirm previous heritability studies indicating that repolarization is a complex trait with a significant heritable component and demonstrate that high-resolution SNP-mapping in large population samples can detect and fine map quantitative trait loci even if locus specific heritabilities are small.

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Dan E. Arking

Johns Hopkins University School of Medicine

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Christian Gieger

Pennington Biomedical Research Center

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Thomas Illig

Hannover Medical School

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Joshua C. Bis

University of Washington

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