Evidence map›Paper›PMID 35138379›Full record

ArticleHuman molecular genetics2022

Transcriptome-wide association study in UK Biobank Europeans identifies associations with blood cell traits.

Bryce Rowland, Sanan Venkatesh, Manuel Tardaguila, Jia Wen, Jonathan D Rosen, Amanda L Tapia, Quan Sun, Mariaelisa Graff, Dragana Vuckovic, Guillaume Lettre and 8 more

Abstract 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
–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

14 citing papers in PubMed.

  1. Article
  2. Genetic influences on haematopoiesis.Nature reviews. Genetics · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Improved multi-ancestry fine-mapping identifiesmedRxiv : the preprint server for health sciences · 2024
    Article
  11. Article
  12. Article
  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

18 authors.

Bryce RowlandDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Sanan VenkateshDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA.
Manuel TardaguilaDepartment of Human Genetics, Wellcome Sanger Institute, Hinxton CB10 1SA, UK.
Jia WenDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Jonathan D RosenDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Amanda L TapiaDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Quan SunDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Mariaelisa GraffDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Dragana VuckovicDepartment of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK.
Guillaume LettreMontreal Heart Institute, Université de Montréal, Montreal, Quebec, Canada.
Vijay G SankaranDivision of Hematology/Oncology, Boston Children's Hospital, Boston, MA 02115, USA.
Georgios VoloudakisMental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, NY 10468, USA.ORCID 0000-0002-5729-632X
Panos RoussosMental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, NY 10468, USA.
Jennifer E HuffmanCenter for Population Genomics, Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA 02130, USA.
Alexander P ReinerDepartment of Epidemiology, University of Washington, Seattle, WA 98195, USA.
Nicole SoranzoDepartment of Human Genetics, Wellcome Sanger Institute, Hinxton CB10 1SA, UK.
Laura M RaffieldDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Yun LiDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0002-9275-4189

Funding

Studies of Rare Genetic Variation in the Isolated Population of SardiniaR01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2013 to 2016
$10.5M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
Polygenic risk scores for cardiometabolic disorders: the role of blood cells immune response and evolutionary adaptationU01HG011720 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Yun Li, ALEXANDER P REINER · 2021 to 2026
$5.4M
COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
Characterizing and targeting subphenotypes of schizophrenia and bipolar disorder via individually imputed tissue and cell-type specific transcriptomesK08MH122911 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI VOLOUDAKIS, GEORGIOS · 2020 to 2023
$770k
NHGRI NIH HHS U01 HG011720NHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393NIH HHS S10 OD026880NIH HHS S10 OD030463NIMH NIH HHS K08 MH122911
6 · The paper itself

Abstract

Previous genome-wide association studies (GWAS) of hematological traits have identified over 10 000 distinct trait-specific risk loci. However, at these loci, the underlying causal mechanisms remain incompletely characterized. To elucidate novel biology and better understand causal mechanisms at known loci, we performed a transcriptome-wide association study (TWAS) of 29 hematological traits in 399 835 UK Biobank (UKB) participants of European ancestry using gene expression prediction models trained from whole blood RNA-seq data in 922 individuals. We discovered 557 gene-trait associations for hematological traits distinct from previously reported GWAS variants in European populations. Among the 557 associations, 301 were available for replication in a cohort of 141 286 participants of European ancestry from the Million Veteran Program. Of these 301 associations, 108 replicated at a strict Bonferroni adjusted threshold ($\alpha$= 0.05/301). Using our TWAS results, we systematically assigned 4261 out of 16 900 previously identified hematological trait GWAS variants to putative target genes. Compared to coloc, our TWAS results show reduced specificity and increased sensitivity in external datasets to assign variants to target genes.

Indexed as

Genome-Wide Association StudyTranscriptomeBiological Specimen BanksBlood CellsGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideQuantitative Trait LociUnited Kingdom

Identifiers

PMID35138379
PMCPMC9307312

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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.