Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program.

[1]  I. Ruczinski,et al.  Whole genome sequencing identifies novel genetic mutations in patients with eczema herpeticum , 2021, Allergy.

[2]  K. Esoh,et al.  Evolutionary history of sickle-cell mutation: implications for global genetic medicine , 2021, Human molecular genetics.

[3]  L. Godley,et al.  Identifying potential germline variants from sequencing hematopoietic malignancies. , 2020, Blood.

[4]  Ivana V. Yang,et al.  Inherited Causes of Clonal Hematopoiesis in 97,691 TOPMed Whole Genomes , 2020, Nature.

[5]  R. Vasan,et al.  Circulating testican-2 is a podocyte-derived marker of kidney health , 2020, Proceedings of the National Academy of Sciences.

[6]  M. Hulsman,et al.  The Role of Age-Related Clonal Hematopoiesis in Genetic Sequencing Studies. , 2020, American journal of human genetics.

[7]  D. Gudbjartsson,et al.  FLT3 stop mutation increases FLT3 ligand level and risk of autoimmune thyroid disease , 2020, Nature.

[8]  F. Rieux-Laucat,et al.  Germline TET2 Loss-Of-Function Causes Childhood Immunodeficiency And Lymphoma. , 2020, Blood.

[9]  William J. Astle,et al.  The Polygenic and Monogenic Basis of Blood Traits and Diseases , 2020, Cell.

[10]  K. Asano,et al.  Anti-TSLP antibodies: Targeting a master regulator of type 2 immune responses. , 2020, Allergology international : official journal of the Japanese Society of Allergology.

[11]  William J. Astle,et al.  Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations , 2020, Cell.

[12]  Ryan W. Kim,et al.  Allelic Heterogeneity at the CRP Locus Identified by Whole-Genome Sequencing in Multi-ancestry Cohorts. , 2019, American journal of human genetics.

[13]  G. Huet,et al.  Familial myeloid malignancies with germline TET2 mutation , 2019, Leukemia.

[14]  J. Denny,et al.  Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation , 2019, JMIR medical informatics.

[15]  P. Viriyavejakul,et al.  Expression of sphingosine kinase 1 and sphingosine 1-phosphate receptor 3 in malaria-associated acute lung injury/acute respiratory distress syndrome in a mouse model , 2019, PloS one.

[16]  Sergey Koren,et al.  Telomere-to-telomere assembly of a complete human X chromosome , 2019, bioRxiv.

[17]  Han Wook Park,et al.  The Interferon-Inducible Proteoglycan Testican-2/SPOCK2 Functions as a Protective Barrier against Virus Infection of Lung Epithelial Cells , 2019, Journal of Virology.

[18]  Scott T. Weiss,et al.  Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations , 2019, bioRxiv.

[19]  L. Rönnstrand,et al.  FMS-like Tyrosine Kinase 3/FLT3: From Basic Science to Clinical Implications. , 2019, Physiological reviews.

[20]  Michelle Daya,et al.  African American ancestry contribution to asthma and atopic dermatitis. , 2019, Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology.

[21]  G. Dranoff,et al.  GM-CSF, IL-3, and IL-5 Family of Cytokines: Regulators of Inflammation. , 2019, Immunity.

[22]  P. Evans,et al.  The use of targeted sequencing and flow cytometry to identify patients with a clinically significant monocytosis. , 2019, Blood.

[23]  O. Pietiläinen,et al.  Impact of constitutional TET2 haploinsufficiency on molecular and clinical phenotype in humans , 2019, Nature Communications.

[24]  C. Haywood,et al.  Clinical Outcomes Associated With Sickle Cell Trait , 2018, Annals of Internal Medicine.

[25]  Seunggeun Lee,et al.  Efficient variant set mixed model association tests for continuous and binary traits in large-scale whole genome sequencing studies , 2018, bioRxiv.

[26]  Tamar Sofer,et al.  A Fully-Adjusted Two-Stage Procedure for Rank Normalization in Genetic Association Studies , 2018, bioRxiv.

[27]  A. Hoeft,et al.  S1PR3 Signaling Drives Bacterial Killing and Is Required for Survival in Bacterial Sepsis , 2017, American journal of respiratory and critical care medicine.

[28]  Lars G Fritsche,et al.  Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies , 2017, Nature Genetics.

[29]  Seunggeun Lee,et al.  A fast and accurate algorithm to test for binary phenotypes and its application to PheWAS , 2017, bioRxiv.

[30]  E. Botchwey,et al.  Sphingosine‐1‐Phosphate Receptor‐3 Supports Hematopoietic Stem and Progenitor Cell Residence Within the Bone Marrow Niche , 2017, Stem cells.

[31]  Tamar Sofer,et al.  Genome-wide association of white blood cell counts in Hispanic/Latino Americans: the Hispanic Community Health Study/Study of Latinos , 2017, Human molecular genetics.

[32]  William J. Astle,et al.  Allelic Landscape of Human Blood Cell Trait Variation and Links , 2016 .

[33]  Jie Huang,et al.  Discovery and refinement of genetic loci associated with cardiometabolic risk using dense imputation maps , 2016, Nature Genetics.

[34]  Jean-Philippe Fortin,et al.  Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi , 2016, bioRxiv.

[35]  A. J. Slater,et al.  Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases. , 2016, American journal of human genetics.

[36]  S. Bromley,et al.  ACKR4 on Stromal Cells Scavenges CCL19 To Enable CCR7-Dependent Trafficking of APCs from Inflamed Skin to Lymph Nodes , 2016, The Journal of Immunology.

[37]  S. Redline,et al.  Control for Population Structure and Relatedness for Binary Traits in Genetic Association Studies via Logistic Mixed Models. , 2016, American journal of human genetics.

[38]  Bruce S Weir,et al.  Model-free Estimation of Recent Genetic Relatedness. , 2016, American journal of human genetics.

[39]  Kathleen F. Kerr,et al.  Genetic Diversity and Association Studies in US Hispanic/Latino Populations: Applications in the Hispanic Community Health Study/Study of Latinos. , 2016, American journal of human genetics.

[40]  Liying Li,et al.  Sphingosine 1-Phosphate Receptor 2 and 3 Mediate Bone Marrow-Derived Monocyte/Macrophage Motility in Cholestatic Liver Injury in Mice , 2015, Scientific Reports.

[41]  Li-Na Wei,et al.  Receptor-Interacting Protein 140 Orchestrates the Dynamics of Macrophage M1/M2 Polarization , 2015, Journal of Innate Immunity.

[42]  S. Horvath,et al.  HIV-1 Infection Accelerates Age According to the Epigenetic Clock , 2015, The Journal of infectious diseases.

[43]  Timothy A Thornton,et al.  Robust Inference of Population Structure for Ancestry Prediction and Correction of Stratification in the Presence of Relatedness , 2015, Genetic epidemiology.

[44]  M. Sperandio,et al.  Sphingosine-1-phosphate receptor 3 promotes leukocyte rolling by mobilizing endothelial P-selectin , 2015, Nature Communications.

[45]  J. Moreaux,et al.  Expression and role of RIP140/NRIP1 in chronic lymphocytic leukemia , 2015, Journal of Hematology & Oncology.

[46]  T. Kubo,et al.  Knock Out of S1P3 Receptor Signaling Attenuates Inflammation and Fibrosis in Bleomycin-Induced Lung Injury Mice Model , 2014, PloS one.

[47]  M. Uusitupa,et al.  Primary vitamin D receptor target genes as biomarkers for the vitamin D3 status in the hematopoietic system. , 2014, The Journal of nutritional biochemistry.

[48]  Lesley M. Chapman,et al.  Emerging roles for platelets as immune and inflammatory cells. , 2014, Blood.

[49]  D. Wagner,et al.  Thrombosis: tangled up in NETs. , 2014, Blood.

[50]  Uwe Völker,et al.  Rare and low-frequency coding variants in CXCR2 and other genes are associated with hematological traits , 2014, Nature Genetics.

[51]  Melissa A. Basford,et al.  The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future , 2013, Genetics in Medicine.

[52]  M. Rehli,et al.  5-Hydroxymethylcytosine is an essential intermediate of active DNA demethylation processes in primary human monocytes , 2013, Genome Biology.

[53]  Benjamin A. Logsdon,et al.  Imputation of exome sequence variants into population- based samples and blood-cell-trait-associated loci in African Americans: NHLBI GO Exome Sequencing Project. , 2012, American journal of human genetics.

[54]  Jake K. Byrnes,et al.  Bayesian refinement of association signals for 14 loci in 3 common diseases , 2012, Nature Genetics.

[55]  Devin C. Koestler,et al.  DNA methylation arrays as surrogate measures of cell mixture distribution , 2012, BMC Bioinformatics.

[56]  D. Kwiatkowski,et al.  Haplotype Analyses of Haemoglobin C and Haemoglobin S and the Dynamics of the Evolutionary Response to Malaria in Kassena-Nankana District of Ghana , 2012, PloS one.

[57]  Mario Castro,et al.  Severe asthma: lessons learned from the National Heart, Lung, and Blood Institute Severe Asthma Research Program. , 2012, American journal of respiratory and critical care medicine.

[58]  Yusuke Nakamura,et al.  Genome-Wide Association Study of White Blood Cell Count in 16,388 African Americans: the Continental Origins and Genetic Epidemiology Network (COGENT) , 2011, PLoS genetics.

[59]  B. Levkau,et al.  Sphingosine-1-Phosphate Receptor 3 Promotes Recruitment of Monocyte/Macrophages in Inflammation and Atherosclerosis , 2011, Circulation research.

[60]  E. Bleecker,et al.  Heterogeneity of Severe Asthma in Childhood: Confirmation by Cluster Analysis of Children in the NIH/NHLBI Severe Asthma Research Program (SARP) , 2011 .

[61]  E. Regan,et al.  Genetic Epidemiology of COPD (COPDGene) Study Design , 2011, COPD.

[62]  Yi Zhang,et al.  Role of Tet proteins in 5mC to 5hmC conversion, ES-cell self-renewal and inner cell mass specification , 2010, Nature.

[63]  Lloyd E Chambless,et al.  Design and implementation of the Hispanic Community Health Study/Study of Latinos. , 2010, Annals of epidemiology.

[64]  L. Liang,et al.  A genome-wide association study on African-ancestry populations for asthma. , 2010, The Journal of allergy and clinical immunology.

[65]  J. Chun,et al.  Retraction for Gon et al., S1P3 receptor-induced reorganization of epithelial tight junctions compromises lung barrier integrity and is potentiated by TNF , 2009, Proceedings of the National Academy of Sciences.

[66]  T. Wienker,et al.  The human pseudoautosomal regions: a review for genetic epidemiologists , 2008, European Journal of Human Genetics.

[67]  J. O’Connell,et al.  The genetic response to short-term interventions affecting cardiovascular function: rationale and design of the Heredity and Phenotype Intervention (HAPI) Heart Study. , 2008, American heart journal.

[68]  Qiong Yang,et al.  The Third Generation Cohort of the National Heart, Lung, and Blood Institute's Framingham Heart Study: design, recruitment, and initial examination. , 2007, American journal of epidemiology.

[69]  E. Goetzl,et al.  Sphingosine 1-phosphate and its receptors: an autocrine and paracrine network , 2005, Nature Reviews Immunology.

[70]  R. Kronmal,et al.  Multi-Ethnic Study of Atherosclerosis: objectives and design. , 2002, American journal of epidemiology.

[71]  T. Suda,et al.  A role of EphB4 receptor and its ligand, ephrin-B2, in erythropoiesis. , 2002, Biochemical and biophysical research communications.

[72]  R. de Waal Malefyt,et al.  Human Thymic Stromal Lymphopoietin Preferentially Stimulates Myeloid Cells1 , 2001, The Journal of Immunology.

[73]  J. Blangero,et al.  Genetic and environmental contributions to cardiovascular risk factors in Mexican Americans. The San Antonio Family Heart Study. , 1996, Circulation.

[74]  R Kucherlapati,et al.  Linkage of asthma and total serum IgE concentration to markers on chromosome 12q: evidence from Afro-Caribbean and Caucasian populations. , 1996, Genomics.

[75]  N. Breslow,et al.  Approximate inference in generalized linear mixed models , 1993 .

[76]  R. Kronmal,et al.  The Cardiovascular Health Study: design and rationale. , 1991, Annals of epidemiology.

[77]  Aric Invest The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators , 1989 .

[78]  D. Jacobs,et al.  Recruitment in the Coronary Artery Disease Risk Development in Young Adults (Cardia) Study. , 1987, Controlled clinical trials.

[79]  E. A. Kelly,et al.  Essential Mechanisms of Differential Activation of Eosinophils by IL-3 Compared to GM-CSF and IL-5. , 2016, Critical reviews in immunology.

[80]  Daniel W. Jones,et al.  Toward resolution of cardiovascular health disparities in African Americans: design and methods of the Jackson Heart Study. , 2005, Ethnicity & disease.

[81]  Lynette Ekunwe,et al.  Study design for genetic analysis in the Jackson Heart Study. , 2005, Ethnicity & disease.

[82]  JoAnn E. Manson,et al.  Design of the Women's Health Initiative clinical trial and observational study. The Women's Health Initiative Study Group. , 1998, Controlled clinical trials.