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Dive into the research topics where Kenneth Rice is active.

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Featured researches published by Kenneth Rice.


Nature Genetics | 2009

Genome-wide association study of blood pressure and hypertension

Daniel Levy; Georg B. Ehret; Kenneth Rice; Germaine C. Verwoert; Lenore J. Launer; Abbas Dehghan; Nicole L. Glazer; Alanna C. Morrison; Andrew D. Johnson; Thor Aspelund; Yurii S. Aulchenko; Thomas Lumley; Anna Köttgen; Fernando Rivadeneira; Gudny Eiriksdottir; Xiuqing Guo; Dan E. Arking; Gary F. Mitchell; Francesco Mattace-Raso; Albert V. Smith; Kent D. Taylor; Robert B. Scharpf; Shih Jen Hwang; Eric J.G. Sijbrands; Joshua C. Bis; Tamara B. Harris; Santhi K. Ganesh; Christopher J. O'Donnell; Albert Hofman; Jerome I. Rotter

Blood pressure is a major cardiovascular disease risk factor. To date, few variants associated with interindividual blood pressure variation have been identified and replicated. Here we report results of a genome-wide association study of systolic (SBP) and diastolic (DBP) blood pressure and hypertension in the CHARGE Consortium (n = 29,136), identifying 13 SNPs for SBP, 20 for DBP and 10 for hypertension at P < 4 × 10−7. The top ten loci for SBP and DBP were incorporated into a risk score; mean BP and prevalence of hypertension increased in relation to the number of risk alleles carried. When ten CHARGE SNPs for each trait were included in a joint meta-analysis with the Global BPgen Consortium (n = 34,433), four CHARGE loci attained genome-wide significance (P < 5 × 10−8) for SBP (ATP2B1, CYP17A1, PLEKHA7, SH2B3), six for DBP (ATP2B1, CACNB2, CSK-ULK3, SH2B3, TBX3-TBX5, ULK4) and one for hypertension (ATP2B1). Identifying genes associated with blood pressure advances our understanding of blood pressure regulation and highlights potential drug targets for the prevention or treatment of hypertension.


JAMA | 2010

Genome-wide Analysis of Genetic Loci Associated With Alzheimer Disease

Sudha Seshadri; Annette L. Fitzpatrick; M. Arfan Ikram; Anita L. DeStefano; Vilmundur Gudnason; Mercè Boada; Joshua C. Bis; Albert V. Smith; Minerva M. Carassquillo; Jean Charles Lambert; Denise Harold; Elisabeth M.C. Schrijvers; Reposo Ramírez-Lorca; Stéphanie Debette; W. T. Longstreth; A. Cecile J. W. Janssens; V. Shane Pankratz; Jean-François Dartigues; Paul Hollingworth; Thor Aspelund; Isabel Hernández; Alexa Beiser; Lewis H. Kuller; Peter J. Koudstaal; Dennis W. Dickson; Christophe Tzourio; Richard Abraham; Carmen Antúnez; Yangchun Du; Jerome I. Rotter

CONTEXT Genome-wide association studies (GWAS) have recently identified CLU, PICALM, and CR1 as novel genes for late-onset Alzheimer disease (AD). OBJECTIVES To identify and strengthen additional loci associated with AD and confirm these in an independent sample and to examine the contribution of recently identified genes to AD risk prediction in a 3-stage analysis of new and previously published GWAS on more than 35,000 persons (8371 AD cases). DESIGN, SETTING, AND PARTICIPANTS In stage 1, we identified strong genetic associations (P < 10(-3)) in a sample of 3006 AD cases and 14,642 controls by combining new data from the population-based Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (1367 AD cases [973 incident]) with previously reported results from the Translational Genomics Research Institute and the Mayo AD GWAS. We identified 2708 single-nucleotide polymorphisms (SNPs) with P < 10(-3). In stage 2, we pooled results for these SNPs with the European AD Initiative (2032 cases and 5328 controls) to identify 38 SNPs (10 loci) with P < 10(-5). In stage 3, we combined data for these 10 loci with data from the Genetic and Environmental Risk in AD consortium (3333 cases and 6995 controls) to identify 4 SNPs with P < 1.7x10(-8). These 4 SNPs were replicated in an independent Spanish sample (1140 AD cases and 1209 controls). Genome-wide association analyses were completed in 2007-2008 and the meta-analyses and replication in 2009. MAIN OUTCOME MEASURE Presence of Alzheimer disease. RESULTS Two loci were identified to have genome-wide significance for the first time: rs744373 near BIN1 (odds ratio [OR],1.13; 95% confidence interval [CI],1.06-1.21 per copy of the minor allele; P = 1.59x10(-11)) and rs597668 near EXOC3L2/BLOC1S3/MARK4 (OR, 1.18; 95% CI, 1.07-1.29; P = 6.45x10(-9)). Associations of these 2 loci plus the previously identified loci CLU and PICALM with AD were confirmed in the Spanish sample (P < .05). However, although CLU and PICALM were confirmed to be associated with AD in this independent sample, they did not improve the ability of a model that included age, sex, and APOE to predict incident AD (improvement in area under the receiver operating characteristic curve from 0.847 to 0.849 in the Rotterdam Study and 0.702 to 0.705 in the Cardiovascular Health Study). CONCLUSIONS Two genetic loci for AD were found for the first time to reach genome-wide statistical significance. These findings were replicated in an independent population. Two recently reported associations were also confirmed. These loci did not improve AD risk prediction. While not clinically useful, they may implicate biological pathways useful for future research.


WOS | 2013

Common genetic determinants of vitamin D insufficiency: a genome-wide association study

Thomas J. Wang; Feng Zhang; J. Brent Richards; Bryan Kestenbaum; Joyce B. J. van Meurs; Diane J. Berry; Douglas P. Kiel; Elizabeth A. Streeten; Claes Ohlsson; Daniel L. Koller; Leena Peltonen; Jason D. Cooper; Paul F. O'Reilly; Denise K. Houston; Nicole L. Glazer; Liesbeth Vandenput; Munro Peacock; J. Shi; Fernando Rivadeneira; Mark McCarthy; Pouta Anneli; Ian H. de Boer; Massimo Mangino; Bernet Kato; Deborah J. Smyth; Sarah L. Booth; Paul F. Jacques; Greg Burke; Mark O. Goodarzi; Ching-Lung Cheung

BACKGROUND Vitamin D is crucial for maintenance of musculoskeletal health, and might also have a role in extraskeletal tissues. Determinants of circulating 25-hydroxyvitamin D concentrations include sun exposure and diet, but high heritability suggests that genetic factors could also play a part. We aimed to identify common genetic variants affecting vitamin D concentrations and risk of insufficiency. METHODS We undertook a genome-wide association study of 25-hydroxyvitamin D concentrations in 33 996 individuals of European descent from 15 cohorts. Five epidemiological cohorts were designated as discovery cohorts (n=16 125), five as in-silico replication cohorts (n=9367), and five as de-novo replication cohorts (n=8504). 25-hydroxyvitamin D concentrations were measured by radioimmunoassay, chemiluminescent assay, ELISA, or mass spectrometry. Vitamin D insufficiency was defined as concentrations lower than 75 nmol/L or 50 nmol/L. We combined results of genome-wide analyses across cohorts using Z-score-weighted meta-analysis. Genotype scores were constructed for confirmed variants. FINDINGS Variants at three loci reached genome-wide significance in discovery cohorts for association with 25-hydroxyvitamin D concentrations, and were confirmed in replication cohorts: 4p12 (overall p=1.9x10(-109) for rs2282679, in GC); 11q12 (p=2.1x10(-27) for rs12785878, near DHCR7); and 11p15 (p=3.3x10(-20) for rs10741657, near CYP2R1). Variants at an additional locus (20q13, CYP24A1) were genome-wide significant in the pooled sample (p=6.0x10(-10) for rs6013897). Participants with a genotype score (combining the three confirmed variants) in the highest quartile were at increased risk of having 25-hydroxyvitamin D concentrations lower than 75 nmol/L (OR 2.47, 95% CI 2.20-2.78, p=2.3x10(-48)) or lower than 50 nmol/L (1.92, 1.70-2.16, p=1.0x10(-26)) compared with those in the lowest quartile. INTERPRETATION Variants near genes involved in cholesterol synthesis, hydroxylation, and vitamin D transport affect vitamin D status. Genetic variation at these loci identifies individuals who have substantially raised risk of vitamin D insufficiency. FUNDING Full funding sources listed at end of paper (see Acknowledgments).


The New England Journal of Medicine | 2009

Genomewide Association Studies of Stroke

M. Arfan Ikram; Sudha Seshadri; Joshua C. Bis; Myriam Fornage; Anita L. DeStefano; Yurii S. Aulchenko; Stéphanie Debette; Thomas Lumley; Aaron R. Folsom; Evita G. Van Den Herik; Michiel J. Bos; Alexa Beiser; Mary Cushman; Lenore J. Launer; Eyal Shahar; Maksim Struchalin; Yangchun Du; Nicole L. Glazer; Wayne D. Rosamond; Fernando Rivadeneira; Margaret Kelly-Hayes; Oscar L. Lopez; Josef Coresh; Albert Hofman; Charles DeCarli; Susan R. Heckbert; Peter J. Koudstaal; Qiong Yang; Nicholas L. Smith; Carlos S. Kase

BACKGROUND The genes underlying the risk of stroke in the general population remain undetermined. METHODS We carried out an analysis of genomewide association data generated from four large cohorts composing the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, including 19,602 white persons (mean [+/-SD] age, 63+/-8 years) in whom 1544 incident strokes (1164 ischemic strokes) developed over an average follow-up of 11 years. We tested the markers most strongly associated with stroke in a replication cohort of 2430 black persons with 215 incident strokes (191 ischemic strokes), another cohort of 574 black persons with 85 incident strokes (68 ischemic strokes), and 652 Dutch persons with ischemic stroke and 3613 unaffected persons. RESULTS Two intergenic single-nucleotide polymorphisms on chromosome 12p13 and within 11 kb of the gene NINJ2 were associated with stroke (P<5x10(-8)). NINJ2 encodes an adhesion molecule expressed in glia and shows increased expression after nerve injury. Direct genotyping showed that rs12425791 was associated with an increased risk of total (i.e., all types) and ischemic stroke, with hazard ratios of 1.30 (95% confidence interval [CI], 1.19 to 1.42) and 1.33 (95% CI, 1.21 to 1.47), respectively, yielding population attributable risks of 11% and 12% in the discovery cohorts. Corresponding hazard ratios were 1.35 (95% CI, 1.01 to 1.79; P=0.04) and 1.42 (95% CI, 1.06 to 1.91; P=0.02) in the large cohort of black persons and 1.17 (95% CI, 1.01 to 1.37; P=0.03) and 1.19 (95% CI, 1.01 to 1.41; P=0.04) in the Dutch sample; the results of an underpowered analysis of the smaller black cohort were nonsignificant. CONCLUSIONS A genetic locus on chromosome 12p13 is associated with an increased risk of stroke.


Nature Genetics | 2009

Common variants at ten loci influence QT interval duration in the QTGEN Study.

Christopher Newton-Cheh; Mark Eijgelsheim; Kenneth Rice; Paul I. W. de Bakker; Xiaoyan Yin; Karol Estrada; Joshua C. Bis; Kristin D. Marciante; Fernando Rivadeneira; Peter A. Noseworthy; Nona Sotoodehnia; Nicholas L. Smith; Jerome I. Rotter; Jan A. Kors; Jacqueline C. M. Witteman; Albert Hofman; Susan R. Heckbert; Christopher J. O'Donnell; André G. Uitterlinden; Bruce M. Psaty; Thomas Lumley; Martin G. Larson; Bruno H. Stricker

QT interval duration reflecting myocardial repolarization on the electrocardiogram is a heritable risk factor for sudden cardiac death and drug-induced arrhythmias. We conducted a meta-analysis of 3 genome-wide association studies in 13,685 individuals of European ancestry from the Framingham Heart Study, the Rotterdam Study and the Cardiovascular Health Study. We observed associations at P < 5×10−8 with variants in NOS1AP, KCNQ1, KCNE1, KCNH2 and SCN5A, known to be involved in myocardial repolarization and Mendelian Long QT Syndromes. Associations at five novel loci included 16q21 near NDRG4 and GINS3, 6q22 near PLN, 1p36 near RNF207, 16p13 near LITAF and 17q12 near LIG3 and RIFFL. Collectively, the 14 independent variants at these 10 loci explain 5.4–6.5% of variation in QT interval. Identifying the causal variants and defining their impact on myocardial repolarization may add incrementally to the prevention of sudden cardiac death and drug-induced arrhythmias.QT interval duration, reflecting myocardial repolarization on the electrocardiogram, is a heritable risk factor for sudden cardiac death and drug-induced arrhythmias. We conducted a meta-analysis of three genome-wide association studies in 13,685 individuals of European ancestry from the Framingham Heart Study, the Rotterdam Study and the Cardiovascular Health Study, as part of the QTGEN consortium. We observed associations at P < 5 × 10−8 with variants in NOS1AP, KCNQ1, KCNE1, KCNH2 and SCN5A, known to be involved in myocardial repolarization and mendelian long-QT syndromes. Associations were found at five newly identified loci, including 16q21 near NDRG4 and GINS3, 6q22 near PLN, 1p36 near RNF207, 16p13 near LITAF and 17q12 near LIG3 and RFFL. Collectively, the 14 independent variants at these 10 loci explain 5.4–6.5% of the variation in QT interval. These results, together with an accompanying paper, offer insights into myocardial repolarization and suggest candidate genes that could predispose to sudden cardiac death and drug-induced arrhythmias.


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 | 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).


Nature Genetics | 2009

Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium

Santhi K. Ganesh; Neil A. Zakai; Frank J. A. van Rooij; Nicole Soranzo; Albert V. Smith; Michael A. Nalls; Ming-Huei Chen; Anna Köttgen; Nicole L. Glazer; Abbas Dehghan; Brigitte Kühnel; Thor Aspelund; Qiong Yang; Toshiko Tanaka; Andrew E. Jaffe; Joshua C. Bis; Germaine C. Verwoert; Alexander Teumer; Caroline S. Fox; Jack M. Guralnik; Georg B. Ehret; Kenneth Rice; Janine F. Felix; Augusto Rendon; Gudny Eiriksdottir; Daniel Levy; Kushang V. Patel; Eric Boerwinkle; Jerome I. Rotter; Albert Hofman

Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 × 10−8 to 7 × 10−86). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures.

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Bruce M. Psaty

University of Washington

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Joshua C. Bis

University of Washington

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Jerome I. Rotter

Los Angeles Biomedical Research Institute

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Albert Hofman

Erasmus University Rotterdam

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Alanna C. Morrison

University of Texas Health Science Center at Houston

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