Evidence map›Paper›PMID 29905378›Full record

ArticleAmerican journal of hematology2018

Generalization and fine mapping of red blood cell trait genetic associations to multi-ethnic populations: The PAGE Study.

Chani Jo Hodonsky, Claudia Schurmann, Ursula M Schick, Jonathan Kocarnik, Ran Tao, Frank Ja van Rooij, Christina Wassel, Steve Buyske, Myriam Fornage, Lucia A Hindorff and 8 more

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Article in American journal of hematology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Chani Jo HodonskyDepartment of Epidemiology, University of North Carolina Gillings School of Public Health, Chapel Hill, NC.ORCID http://orcid.org/0000-0001-8566-5877
Claudia SchurmannThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Ursula M SchickThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Jonathan KocarnikDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA.
Ran TaoDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN.
Frank Ja van RooijDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, 3000, the Netherlands.
Christina WasselDepartment of Pathology and Laboratory Medicine, College of Medicine, University of Vermont, Burlington, VT.
Steve BuyskeDepartment of Statistics and Biostatistics, Hill Center, Rutgers, The State University of New Jersey, 110 Frelinghuysen Rd. Piscataway, NY.
Myriam FornageInstitute of Molecular Medicine and Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX.
Lucia A HindorffDivision of Genomic Medicine, National Human Genome Research Institute, National institutes of Health, Bethesda, MD.
James S FloydDepartments of Medicine, University of Washington, Seattle, WA.
Santhi K GaneshDepartment of Human Genetics, University of Michigan Medical School, Ann Arbor, MI.
Dan-Yu LinDepartment of Biostatistics, University of North Carolina, Chapel Hill, NC.
Kari E NorthDepartment of Epidemiology, University of North Carolina Gillings School of Public Health, Chapel Hill, NC.
Alex P ReinerDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA.
Ruth Jf LoosThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Charles KooperbergDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA.
Christy L AveryDepartment of Epidemiology, University of North Carolina Gillings School of Public Health, Chapel Hill, NC.

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
UCLA CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR033176 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2011 to 2011
$15.5M
Epidemiology of putative genuine genetic variant: The Women's Health IntiativeU01HG004790 · NHGRI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2008 to 2012
$9.9M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
Genetic Epidemiology of Causal Variants Across the Life CourseU01HG004803 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NORTH, KARI E. · 2008 to 2012
$9.0M
MAPPING THE GENES FOR ATHEROSCLEROSIS AND INSULIN RESISTANCEP01HL060030 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSUEH, WILLA A. · 1999 to 2003
$7.2M
CHS Events Follow-up StudyR01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2009 to 2014
$6.3M
WGA Study to Identify Genetic Variants Associated with CV Events in CHSR01HL087652 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2007 to 2009
$5.1M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
NHGRI EpiGenVar Coordinating CenterU01HG004801 · NHGRI · RUTGERS, THE STATE UNIV OF N.J. · PI MATISE, TARA C. · 2008 to 2012
$4.4M
The Genetic Epidemiology of Heart, Lung, and Blood TraitsTraining Grant (GenHLB)T32HL129982 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christy Leigh Avery, KAREN L. MOHLKE · 2016 to 2026
$3.8M
NCATS NIH HHS UL1 TR000124NCRR NIH HHS UL1 RR033176NHGRI NIH HHS R01 HG009974NHGRI NIH HHS U01 HG004790NHGRI NIH HHS U01 HG004801NHGRI NIH HHS U01 HG004803NHGRI NIH HHS U01 HG007376NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI 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 HC055022NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01 WH032102NHLBI NIH HHS P01 HL060030NHLBI NIH HHS R01 HL080295NHLBI NIH HHS R01 HL087652NHLBI NIH HHS R01 HL122684NHLBI NIH HHS T32 HL129982NHLBI NIH HHS U01 HL080295NIA NIH HHS R01 AG023629NIA NIH HHS R56 AG023629NIDDK NIH HHS P30 DK063491NIH HHS S10 OD020069WHI NIH HHS N01 WH022110WHI NIH HHS N01 WH032100WHI NIH HHS N01 WH032101WHI NIH HHS N01 WH032105WHI NIH HHS N01 WH032106WHI NIH HHS N01 WH032108WHI NIH HHS N01 WH032109WHI NIH HHS N01 WH032111WHI NIH HHS N01 WH032112WHI NIH HHS N01 WH032113WHI NIH HHS N01 WH032115WHI NIH HHS N01 WH032118WHI NIH HHS N01 WH032119WHI NIH HHS N01 WH032122WHI NIH HHS N01 WH042107WHI NIH HHS N01 WH042108WHI NIH HHS N01 WH042112WHI NIH HHS N01 WH042113WHI NIH HHS N01 WH042114WHI NIH HHS N01 WH042115WHI NIH HHS N01 WH042116WHI NIH HHS N01 WH042117WHI NIH HHS N01 WH042119WHI NIH HHS N01 WH042120WHI NIH HHS N01 WH042121
6 · The paper itself

Abstract

Red blood cell (RBC) traits provide insight into a wide range of physiological states and exhibit moderate to high heritability, making them excellent candidates for genetic studies to inform underlying biologic mechanisms. Previous RBC trait genome-wide association studies were performed primarily in European- or Asian-ancestry populations, missing opportunities to inform understanding of RBC genetic architecture in diverse populations and reduce intervals surrounding putative functional SNPs through fine-mapping. Here, we report the first fine-mapping of six correlated (Pearson's r range: |0.04 - 0.92|) RBC traits in up to 19,036 African Americans and 19,562 Hispanic/Latinos participants of the Population Architecture using Genomics and Epidemiology (PAGE) consortium. Trans-ethnic meta-analysis of race/ethnic- and study-specific estimates for approximately 11,000 SNPs flanking 13 previously identified association signals as well as 150,000 additional array-wide SNPs was performed using inverse-variance meta-analysis after adjusting for study and clinical covariates. Approximately half of previously reported index SNP-RBC trait associations generalized to the trans-ethnic study population (p<1.7x10

Indexed as

fine-mappinggeneralizationGenomicsRBC traitstrans-ethnic meta-analysis

Identifiers

PMID29905378
PMCPMC6300146

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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.