SynthesisHuman molecular genetics2014
Trans-ethnic meta-analysis of white blood cell phenotypes.
Abstract readMeta-Analysis
In one paragraph
Synthesis in Human molecular genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 4 pooled it
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
50 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Meta-analysis of SNP-environment interaction with heterogeneity for overlapping data.Scientific reports · 2021Pooled it
- Association analyses of East Asian individuals and trans-ancestry analyses with European individuals reveal new loci associated with cholesterol and triglyceride levels.Human molecular genetics · 2017Pooled it
- Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis.American journal of human genetics · 2017Pooled it
- Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases.American journal of human genetics · 2016Pooled it
- Genome-wide association study in Japanese females identifies fifteen novel skin-related trait associations.Scientific reports · 2018Trial
- TLS-Tractor: A transfer learning framework for incorporating summary-statistics into local ancestry-aware GWAS in admixed populations.medRxiv : the preprint server for health sciences · 2026Article
- Association between Paleolithic diet fraction and systemic low-grade chronic inflammation in the Malmö diet and cancer study cohort.European journal of nutrition · 2025Article
- Incorporating local ancestry information to predict genetically associated DNA methylation in admixed populations.Briefings in bioinformatics · 2025Observational
- Genetic Susceptibility to Causal Relationship Between Iron Metabolism Disorder Involving Immunocytes and Risk of Pneumonia and Sepsis.Food science & nutrition · 2025Article
- Association and Comparison of Systemic Inflammation Indicators and Myocardial Injury After Noncardiac Surgery in Older Patients.Journal of inflammation research · 2025Article
- Activation of receptor-independent fluid-phase pinocytosis promotes foamy monocyte formation in atherosclerotic mice.Redox biology · 2024Article
- Ribosomal DNA copy number variation associates with hematological profiles and renal function in the UK Biobank.Cell genomics · 2024Article
- Clinical associations with a polygenic predisposition to benign lower white blood cell counts.Nature communications · 2024Article
- Foetal haemoglobin elevation, unfavourable prognosis, and protective role of genetic variantsJournal of genetics · 2024Article
- Interplay between hereditary and acquired factors determines the neutrophil counts in older individuals.Blood advances · 2023Article
- Transcriptional level of inflammation markers associates with short-term brain structural changes in first-episode schizophrenia.BMC medicine · 2023Article
- Similarity and diversity of genetic architecture for complex traits between East Asian and European populations.BMC genomics · 2023Article
- Translating non-coding genetic associations into a better understanding of immune-mediated disease.Disease models & mechanisms · 2023Review
- Quitting smoking after a cancer diagnosis is associated with high-risk neutrophil-to-lymphocyte ratio among tobacco use-related cancer survivors.Scientific reports · 2023Article
- Alteration of monocyte subsets and their functions in thalassemia patients.International journal of hematology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
50 authors.
Margaux F KellerLaboratory of Neurogenetics Department of Biological Anthropology, Temple University, Philadelphia, PA, USA.
Alexander P ReinerDepartment of Epidemiology Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Yukinori OkadaLaboratory for Statistical Analysis Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Frank J A van RooijDepartment of Epidemiology Consortium for Healthy Aging (NGI-NCHA), The Netherlands Genomics Initiative, Leiden, The Netherlands.
Andrew D JohnsonCardiovascular Epidemiology and Human Genomics Branch, NHLBI Division of Intramural Research, Bethesda, MD, USA NHLBI Framingham Heart Study, Bethesda, MD, USA.
Ming-Huei ChenDepartment of Neurology, Boston University School of Medicine, Boston, MA, USA NHLBI Framingham Heart Study, Bethesda, MD, USA.
Albert V SmithIcelandic Heart Association, Kopavogur, Iceland University of Iceland, Reykjavik, Iceland.
Andrew P MorrisGenetic and Genomic Epidemiology Unit, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK Department of Biostatistics, University of Liverpool, Liverpool, UK.
Toshiko TanakaLongitudinal Studies Section, Clinical Research Branch.
Luigi FerrucciLongitudinal Studies Section, Clinical Research Branch.
Alan B ZondermanBehavioral Epidemiology Section, Laboratory of Epidemiology & Population Sciences, National Institute on Aging Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Guillaume LettreMontreal Heart Institute, Montréal, Canada Département de Médecine, Université de Montréal, Montréal, Canada.
Tamara HarrisLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
Melissa GarciaLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
Stefania BandinelliGeriatric Rehabilitation Unit, Azienda Sanitaria Firenze (ASF), Florence, Italy.
Rehan QayyumGeneSTAR Research Program, Division of General Internal Medicine.
Lisa R YanekGeneSTAR Research Program, Division of General Internal Medicine.
Diane M BeckerGeneSTAR Research Program, Division of General Internal Medicine.
Lewis C BeckerGeneSTAR Research Program, Division of General Internal Medicine Division of Cardiology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Charles KooperbergDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Brendan KeatingCenter for Applied Genomics, Children's Hospital of Philadelphia, PA, USA Department of Pediatrics, University of Pennsylvania, PA, USA.
Jared ReisDivision of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD, USA.
Hua TangStanford University School of Medicine, Stanford, CA 94305, USA.
Eric BoerwinkleThe Brown Foundation, Institute of Molecular Medicine for the Prevention of Human Diseases, University of Texas, Houston, TX, USA.
Yoichiro KamataniLaboratory for Statistical Analysis.
Koichi MatsudaLaboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Naoyuki KamataniLaboratory for Statistical Analysis.
Yusuke NakamuraLaboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan Department of Medicine Department of Surgery, Center for Personalized Therapeutics, The University of Chicago, Chicago, IL, USA.
Michiaki KuboLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Simin LiuDepartment of Epidemiology Department of Medicine, Brown University, Providence, RI, USA.
Abbas DehghanDepartment of Epidemiology Consortium for Healthy Aging (NGI-NCHA), The Netherlands Genomics Initiative, Leiden, The Netherlands.
Janine F FelixDepartment of Epidemiology Consortium for Healthy Aging (NGI-NCHA), The Netherlands Genomics Initiative, Leiden, The Netherlands.
Albert HofmanDepartment of Epidemiology Consortium for Healthy Aging (NGI-NCHA), The Netherlands Genomics Initiative, Leiden, The Netherlands.
André G UitterlindenDepartment of Epidemiology Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands Consortium for Healthy Aging (NGI-NCHA), The Netherlands Genomics Initiative, Leiden, The Netherlands.
Cornelia M van DuijnDepartment of Epidemiology Consortium for Healthy Aging (NGI-NCHA), The Netherlands Genomics Initiative, Leiden, The Netherlands.
Oscar H FrancoDepartment of Epidemiology ErasmusAGE, Department of Epidemiology Consortium for Healthy Aging (NGI-NCHA), The Netherlands Genomics Initiative, Leiden, The Netherlands.
Dan L LongoLaboratory of Genetics.
Andrew B SingletonLaboratory of Neurogenetics.
Bruce M PsatyCardiovascular Health Research Unit Department of Medicine Department of Epidemiology and Health Services, University of Washington, Seattle, WA, USA Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA.
Michelle K EvansHealth Disparities Research Section, Clinical Research Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
L Adrienne CupplesNHLBI Framingham Heart Study, Bethesda, MD, USA Boston University Department of Statistics, Boston, MA, USA.
Jerome I RotterInstitute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA Division of Genetic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA.
Christopher J O'DonnellCardiovascular Epidemiology and Human Genomics Branch, NHLBI Division of Intramural Research, Bethesda, MD, USA NHLBI Framingham Heart Study, Bethesda, MD, USA.
Atsushi TakahashiLaboratory for Statistical Analysis.
James G WilsonDepartment of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA.
Santhi K GaneshDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA sganesh@med.umich.edu nallsm@mail.nih.gov.
Mike A NallsLaboratory of Neurogenetics sganesh@med.umich.edu nallsm@mail.nih.gov.
CHARGE Hematology
COGENT
BioBank Japan Project (RIKEN) Working Groups
Funding
Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4MThe Baltimore Longitudinal Study Of AgingZIAAG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI SIMONSICK, ELEANOR MARIE · 2009 to 2025
$116.9MInstitute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8MInstitute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1MUCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0MTransgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4MZINC AND CA EDTA THERAPY OF PLUMBISMM01RR000052 · NCRR · JOHNS HOPKINS UNIVERSITY · PI BELCHER, HAROLYN MILLICENT EDITH · 1985 to 2007
$37.3MCardiovascular Genomics and Bioinformatics projectsZIAHL006170 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI JOHNSON, ANDREW · 2013 to 2025
$25.3MWomen's Health Initiative Clinical Coordinating CenterN01WH22110 · WH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PRENTICE, ROSS L · 2007 to 2010
$22.5MGenome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2MGenotypic Determinants of Aspirin Response in High Risk FamiliesU01HL072518 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BECKER, LEWIS C · 2002 to 2008
$12.8MEpidemiology of Venous Thrombosis & Pulmonary EmbolismR01HL059367 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI TANG, WEIHONG · 1998 to 2024
$11.8MIntramural NIH HHS Z01 AG000932NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1 TR001079NCI NIH HHS P30 CA015704NCRR NIH HHS M01 RR000052NCRR NIH HHS M01-RR000052NCRR NIH HHS RR03655NCRR NIH HHS UL1 RR025005NCRR NIH HHS UL1RR025005NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG004402NHGRI NIH HHS U01HG004402NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS N01 HC005187NHLBI NIH HHS N01 HC045134NHLBI NIH HHS N01 HC045204NHLBI NIH HHS N01 HC045205NHLBI NIH HHS N01 HC048047NHLBI NIH HHS N01 HC048048NHLBI NIH HHS N01 HC048049NHLBI NIH HHS N01 HC048050NHLBI NIH HHS N01-HC-05187NHLBI NIH HHS N01 HC055015NHLBI NIH HHS N01 HC055016NHLBI NIH HHS N01 HC055018NHLBI NIH HHS N01 HC055019NHLBI NIH HHS N01 HC055020NHLBI NIH HHS N01 HC055021NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC065226NHLBI NIH HHS N01 HC075150NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01 HC095095NHLBI NIH HHS N01 HC095170NHLBI NIH HHS N01 HC095171NHLBI NIH HHS N01 HC095172NHLBI NIH HHS N01 HC-15103NHLBI NIH HHS N01-HC-25195NHLBI NIH HHS N01-HC-35129NHLBI NIH HHS N01-HC-45133NHLBI NIH HHS N01-HC-45134NHLBI NIH HHS N01-HC-45204NHLBI NIH HHS N01-HC-45205NHLBI NIH HHS N01-HC-48047NHLBI NIH HHS N01-HC-48048NHLBI NIH HHS N01-HC-48049NHLBI NIH HHS N01-HC-48050NHLBI NIH HHS N01-HC-55015NHLBI NIH HHS N01-HC-55016NHLBI NIH HHS N01-HC-55017NHLBI NIH HHS N01-HC-55018NHLBI NIH HHS N01-HC-55019NHLBI NIH HHS N01-HC-55020NHLBI NIH HHS N01-HC-55021NHLBI NIH HHS N01 HC-55222NHLBI NIH HHS N01-HC-75150NHLBI NIH HHS N01-HC-85079NHLBI NIH HHS N01-HC-85086NHLBI NIH HHS N01-HC-95095NHLBI NIH HHS N01-HC-95100NHLBI NIH HHS N01-HC-95170NHLBI NIH HHS N01-HC-95171NHLBI NIH HHS N01-HC-95172NHLBI NIH HHS N02-HL-6-4278NHLBI NIH HHS P30 HL101290NHLBI NIH HHS P30HL101290NHLBI NIH HHS R01 HL059367NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01HL086694NHLBI NIH HHS R01 HL087641NHLBI NIH HHS R01HL087641NHLBI NIH HHS R01 HL087698NHLBI NIH HHS R01HL087698-01NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01HL59367NHLBI NIH HHS R01 HL71862-06NHLBI NIH HHS U01 HL072518NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL107446NHLBI NIH HHS U01HL72518NIA NIH HHS 1R01AG032098-01A1NIA NIH HHS AG000932-2NIA NIH HHS K23 AG000932NIA NIH HHS N01 AG012100NIA NIH HHS N01-AG-12100NIA NIH HHS N01AG62101NIA NIH HHS N01AG62103NIA NIH HHS N01AG62106NIA NIH HHS N01-AG-821336NIA NIH HHS N01-AG-916413NIA NIH HHS R01 AG032098NIA NIH HHS Z01-AG000513NIDDK NIH HHS P30 DK063491NIGMS NIH HHS R01 GM073059NIMHD NIH HHS 263 MD 821336NIMHD NIH HHS 263 MD 9164 13NIMHD NIH HHS R01 MD009164NINR NIH HHS R01 NR008153NINR NIH HHS R01NR08153PHS HHS 2009-149PHS HHS 24152PHS HHS 32100-2PHS HHS 32105-6PHS HHS 32108-9PHS HHS 32111-13PHS HHS 32115PHS HHS 32118-32119PHS HHS 32122PHS HHS 42107-26PHS HHS 42129-32PHS HHS 44221PHS HHS HHSN268200625226CPHS HHS HHSN268201100012C)PHS HHS N000949304Wellcome Trust 090532Wellcome Trust 098017Wellcome Trust WT064890WHI NIH HHS N01 WH022110WHI NIH HHS N01WH22110
Abstract
White blood cell (WBC) count is a common clinical measure used as a predictor of certain aspects of human health, including immunity and infection status. WBC count is also a complex trait that varies among individuals and ancestry groups. Differences in linkage disequilibrium structure and heterogeneity in allelic effects are expected to play a role in the associations observed between populations. Prior genome-wide association study (GWAS) meta-analyses have identified genomic loci associated with WBC and its subtypes, but much of the heritability of these phenotypes remains unexplained. Using GWAS summary statistics for over 50 000 individuals from three diverse populations (Japanese, African-American and European ancestry), a Bayesian model methodology was employed to account for heterogeneity between ancestry groups. This approach was used to perform a trans-ethnic meta-analysis of total WBC, neutrophil and monocyte counts. Ten previously known associations were replicated and six new loci were identified, including several regions harboring genes related to inflammation and immune cell function. Ninety-five percent credible interval regions were calculated to narrow the association signals and fine-map the putatively causal variants within loci. Finally, a conditional analysis was performed on the most significant SNPs identified by the trans-ethnic meta-analysis (MA), and nine secondary signals within loci previously associated with WBC or its subtypes were identified. This work illustrates the potential of trans-ethnic analysis and ascribes a critical role to multi-ethnic cohorts and consortia in exploring complex phenotypes with respect to variants that lie outside the European-biased GWAS pool.
Indexed as
Genome, HumanPhenotypePolymorphism, Single NucleotideQuantitative Trait LociAsian PeopleBayes TheoremBlack or African AmericanGenome-Wide Association StudyGenotypeHumansLeukocyte CountLeukocytesLinkage DisequilibriumWhite People
Identifiers
What OpenQuestion holds
Textmetadata
Read underepoch 390
Registered trials
None linked
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.