Evidence map›Paper›PMID 34553764›Full record

ArticleHuman molecular genetics2022

Whole genome sequence analysis of platelet traits in the NHLBI Trans-Omics for Precision Medicine (TOPMed) initiative.

Amarise Little, Yao Hu, Quan Sun, Deepti Jain, Jai Broome, Ming-Huei Chen, Florian Thibord, Caitlin McHugh, Praveen Surendran, Thomas W Blackwell and 58 more

Open access · bronzeAbstract read
In one paragraph

Article in Human molecular genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Pharmacogenetics: Opportunities for theAnnual review of pharmacology and toxicology · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Heterogeneity of platelets and their responses.Research and practice in thrombosis and haemostasis · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. Review
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

68 authors at 20 institutions in 2 countries.

Amarise Little
Yao Hu
Quan Sun
Deepti Jain
Jai Broome
Ming-Huei Chen
Florian Thibord
Caitlin McHugh
Praveen Surendran
Thomas W Blackwell
Jennifer A Brody
Arunoday Bhan
Nathalie Chami
Paul S de Vries
Lynette Ekunwe
Nancy Heard-Costa
Brian D Hobbs
Ani Manichaikul
Jee-Young Moon
Michael H Preuss
Kathleen Ryan
Zhe Wang
Marsha Wheeler
Lisa R Yanek
Goncalo R Abecasis
Laura Almasy
Terri H Beaty
Lewis C Becker
John Blangero
Eric Boerwinkle
Adam S Butterworth
Hélène Choquet
Adolfo Correa
Joanne E Curran
Nauder Faraday
Myriam Fornage
David C Glahn
Lifang Hou
Eric Jorgenson
Charles Kooperberg
Joshua P Lewis
Donald M Lloyd-Jones
Ruth J F Loos
Yuan-I Min
Braxton D Mitchell
Alanna C Morrison
Deborah A Nickerson
Kari E North
Jeffrey R O'Connell
Nathan Pankratz
Bruce M Psaty
Ramachandran S Vasan
Stephen S Rich
Jerome I Rotter
Albert V Smith
Nicholas L Smith
Hua Tang
Russell P Tracy
Matthew P Conomos
Cecelia A Laurie
Rasika A Mathias
Yun Li
Paul L Auer
NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
Timothy Thornton
Alexander P Reiner
Andrew D Johnson
Laura M Raffield
University of Washington · USIcahn School of Medicine at Mount Sinai · USThe University of Texas Health Science Center at Houston · USUniversity of Maryland, Baltimore · USUniversity of North Carolina at Chapel Hill · USJohns Hopkins Medicine · USNational Heart Lung and Blood Institute · USUniversity of Michigan–Ann Arbor · USUniversity of Mississippi Medical Center · USFramingham Heart Study · USFred Hutch Cancer Center · USKaiser Permanente · USNorthwestern University · USThe University of Texas Rio Grande Valley · USUniversity of Virginia · USAlbert Einstein College of Medicine · USBoston Children's Hospital · USBrigham and Women's Hospital · USHarvard University · USHealth Data Research UK · GB

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
THE FRAMINGHAM HEART STUDYN01HC25195 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI RAMACHANDRAN, VASAN S · 2007 to 2014
$83.8M
Genomic Architecture of Common Disease in Diverse Populations: WGS of Ongoing Hemorrhagic Stroke Study SupplementUM1HG008898 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2016 to 2020
$77.0M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
ZINC AND CA EDTA THERAPY OF PLUMBISMM01RR000052 · NCRR · JOHNS HOPKINS UNIVERSITY · PI MARSH, LAURA · 1985 to 2007
$37.3M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
PEDIGREE ANALYSIS OF LIPOPROTEIN PHENOTYPESP01HL045522 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 1991 to 2012
$27.6M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Cardiovascular Genomics and Bioinformatics projectsZIAHL006170 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI JOHNSON, ANDREW · 2013 to 2025
$25.3M
A Resource for Genetic Epidemiology Research in Adult Health and AgingRC2AG036607 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI RISCH, NEIL J., SCHAEFER, CATHERINE ANN · 2009 to 2010
$24.8M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
British Heart Foundation CH/12/2/29428British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946British Heart Foundation SP/09/002Chief Scientist OfficeDepartment of HealthMedical Research Council MR/L003120/1Medical Research Council MR/S003746/1NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NCI NIH HHS R01CA2416323NCRR NIH HHS M01 RR000052NCRR NIH HHS UL1 RR033176NEI NIH HHS R01 EY027004NHGRI NIH HHS U01 HG007417NHGRI NIH HHS U24 HG008956NHGRI NIH HHS UM1 HG008898NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS 75N92021D00006NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201300046CNHLBI NIH HHS HHSN268201300047CNHLBI NIH HHS HHSN268201300048CNHLBI NIH HHS HHSN268201300049CNHLBI NIH HHS HHSN268201300050CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS HHSN268201500003INHLBI NIH HHS HHSN268201500014CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005INHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007INHLBI NIH HHS HHSN268201800010INHLBI NIH HHS HHSN268201800011CNHLBI NIH HHS HHSN268201800011INHLBI NIH HHS HHSN268201800012CNHLBI NIH HHS HHSN268201800012INHLBI NIH HHS HHSN268201800014CNHLBI NIH HHS HHSN268201800014INHLBI NIH HHS HHSN268201800015INHLBI NIH HHS K08 HL136928NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC025197NHLBI NIH HHS N01HC25195NHLBI NIH HHS N01HC55222NHLBI NIH HHS N01HC65233NHLBI NIH HHS N01HC65234NHLBI NIH HHS N01HC65235NHLBI NIH HHS N01HC65236NHLBI NIH HHS N01HC65237NHLBI NIH HHS N01HC85079NHLBI NIH HHS N01HC85080NHLBI NIH HHS N01HC85081NHLBI NIH HHS N01HC85082NHLBI NIH HHS N01HC85083NHLBI NIH HHS N01HC85086NHLBI NIH HHS N01HC95159NHLBI NIH HHS N01HC95160NHLBI NIH HHS N01HC95161NHLBI NIH HHS N01HC95162NHLBI NIH HHS N01HC95163NHLBI NIH HHS N01HC95164NHLBI NIH HHS N01HC95165NHLBI NIH HHS N01HC95166NHLBI NIH HHS N01HC95167NHLBI NIH HHS N01HC95168NHLBI NIH HHS N01HC95169NHLBI NIH HHS N02 HL64278NHLBI NIH HHS P01 HL045522NHLBI NIH HHS R01 HL059367NHLBI NIH HHS R01 HL071051NHLBI NIH HHS R01 HL071205NHLBI NIH HHS R01 HL071250NHLBI NIH HHS R01 HL071251NHLBI NIH HHS R01 HL071258NHLBI NIH HHS R01 HL071259NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL113323NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393NHLBI NIH HHS R01 HL121007NHLBI NIH HHS R01 HL129132NHLBI NIH HHS R01 HL137922NHLBI NIH HHS R01 HL139553NHLBI NIH HHS R01 HL146500NHLBI NIH HHS T32 HL066987NHLBI NIH HHS T32 HL129982NHLBI NIH HHS U01 HL072515NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897NHLBI NIH HHS U01 HL120393NHLBI NIH HHS U01 HL130114NHLBI NIH HHS U01 HL137162NHLBI NIH HHS U01HL137162NHLBI NIH HHS U01 HL137181NIA NIH HHS R01 AG018728NIA NIH HHS R01 AG023629NIA NIH HHS RC2 AG036607NICHD NIH HHS P50 HD105351NIDDK NIH HHS R01 DK116738NIDDK NIH HHS U01 DK085524NIDDK NIH HHS U54 DK110805NIGMS NIH HHS U01 GM074518NIMHD NIH HHS HHSN268201800013INIMH NIH HHS R01 MH078111NIMH NIH HHS R01 MH078143NIMH NIH HHS R01 MH083824Wellcome Trust 206194
6 · The paper itself

Abstract

Platelets play a key role in thrombosis and hemostasis. Platelet count (PLT) and mean platelet volume (MPV) are highly heritable quantitative traits, with hundreds of genetic signals previously identified, mostly in European ancestry populations. We here utilize whole genome sequencing (WGS) from NHLBI's Trans-Omics for Precision Medicine initiative (TOPMed) in a large multi-ethnic sample to further explore common and rare variation contributing to PLT (n = 61 200) and MPV (n = 23 485). We identified and replicated secondary signals at MPL (rs532784633) and PECAM1 (rs73345162), both more common in African ancestry populations. We also observed rare variation in Mendelian platelet-related disorder genes influencing variation in platelet traits in TOPMed cohorts (not enriched for blood disorders). For example, association of GP9 with lower PLT and higher MPV was partly driven by a pathogenic Bernard-Soulier syndrome variant (rs5030764, p.Asn61Ser), and the signals at TUBB1 and CD36 were partly driven by loss of function variants not annotated as pathogenic in ClinVar (rs199948010 and rs571975065). However, residual signal remained for these gene-based signals after adjusting for lead variants, suggesting that additional variants in Mendelian genes with impacts in general population cohorts remain to be identified. Gene-based signals were also identified at several genome-wide association study identified loci for genes not annotated for Mendelian platelet disorders (PTPRH, TET2, CHEK2), with somatic variation driving the result at TET2. These results highlight the value of WGS in populations of diverse genetic ancestry to identify novel regulatory and coding signals, even for well-studied traits like platelet traits.

Indexed as

Genome-Wide Association StudyPrecision MedicineBlood PlateletsHumansNational Heart, Lung, and Blood Institute (U.S.)PhenotypePolymorphism, Single NucleotideUnited States

Identifiers

PMID34553764
PMCPMC8825339
OpenAlexW3201049176

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.