Evidence map›Paper›PMID 28263315›Full record

ArticleNature genetics2017

Whole-genome sequencing identifies common-to-rare variants associated with human blood metabolites.

Tao Long, Michael Hicks, Hung-Chun Yu, William H Biggs, Ewen F Kirkness, Cristina Menni, Jonas Zierer, Kerrin S Small, Massimo Mangino, Helen Messier and 12 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 272 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
272citing papers in PubMed, 8 pooled it
–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

272 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Use of Mendelian Randomization to Unveil Metabolic Markers inJournal of Korean medical science · 2026
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  8. Metabolomic biomarkers of low BMD: a systematic review.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
    Pooled it
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  16. Metabolic phenotypes of doxorubicin-induced cardiotoxicity among patients with breast cancer.Metabolomics : Official journal of the Metabolomic Society · 2026
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  18. Review
  19. Article
  20. Article

212 more citing papers are in PubMed but not listed here.

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

22 authors.

Tao LongHuman Longevity, Inc., San Diego, California, USA.ORCID http://orcid.org/0000-0002-7052-9546
Michael HicksHuman Longevity, Inc., San Diego, California, USA.ORCID http://orcid.org/0000-0003-1045-2660
Hung-Chun YuHuman Longevity, Inc., San Diego, California, USA.ORCID http://orcid.org/0000-0002-4980-8508
William H BiggsHuman Longevity, Inc., San Diego, California, USA.
Ewen F KirknessHuman Longevity, Inc., San Diego, California, USA.
Cristina MenniDepartment of Twin Research and Genetic Epidemiology, King's College, London, UK.
Jonas ZiererDepartment of Twin Research and Genetic Epidemiology, King's College, London, UK.ORCID http://orcid.org/0000-0002-9693-1859
Kerrin S SmallDepartment of Twin Research and Genetic Epidemiology, King's College, London, UK.ORCID http://orcid.org/0000-0003-4566-0005
Massimo ManginoDepartment of Twin Research and Genetic Epidemiology, King's College, London, UK.ORCID http://orcid.org/0000-0002-2167-7470
Helen MessierHuman Longevity, Inc., San Diego, California, USA.
Suzanne BrewertonHuman Longevity Singapore, Pte. Ltd., Singapore.
Yaron TurpazHuman Longevity Singapore, Pte. Ltd., Singapore.
Brad A PerkinsHuman Longevity, Inc., San Diego, California, USA.
Anne M EvansMetabolon, Inc., Durham, North Carolina, USA.
Luke A D MillerMetabolon, Inc., Durham, North Carolina, USA.
Lining GuoMetabolon, Inc., Durham, North Carolina, USA.
C Thomas CaskeyMolecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Nicholas J SchorkJ. Craig Venter Institute, La Jolla, California, USA.
Chad GarnerHuman Longevity, Inc., San Diego, California, USA.
Tim D SpectorDepartment of Twin Research and Genetic Epidemiology, King's College, London, UK.
J Craig VenterHuman Longevity, Inc., San Diego, California, USA.
Amalio TelentiHuman Longevity, Inc., San Diego, California, USA.ORCID http://orcid.org/0000-0001-6290-7677

Funding

Medical Research Council MR/M004422/1
6 · The paper itself

Abstract

Genetic factors modifying the blood metabolome have been investigated through genome-wide association studies (GWAS) of common genetic variants and through exome sequencing. We conducted a whole-genome sequencing study of common, low-frequency and rare variants to associate genetic variations with blood metabolite levels using comprehensive metabolite profiling in 1,960 adults. We focused the analysis on 644 metabolites with consistent levels across three longitudinal data collections. Genetic sequence variations at 101 loci were associated with the levels of 246 (38%) metabolites (P ≤ 1.9 × 10

Indexed as

AdultAgedBloodExomeFemaleGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansMaleMetabolomeMiddle AgedPhenotypeQuantitative Trait Loci

Identifiers

PMID28263315

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.