Evidence map›Paper›PMID 35347128›Full record

ArticleNature communications2022

Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci.

Xianyong Yin, Lap Sum Chan, Debraj Bose, Anne U Jackson, Peter VandeHaar, Adam E Locke, Christian Fuchsberger, Heather M Stringham, Ryan Welch, Ketian Yu and 28 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 5 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

128 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  15. Blood biomarkers and breed genetics of aging in pet dogs.bioRxiv : the preprint server for biology · 2026
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68 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

38 authors.

Xianyong YinDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0001-6454-2384
Lap Sum ChanDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0003-3206-9064
Debraj BoseDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-3177-6608
Anne U JacksonDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-9672-2547
Peter VandeHaarDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-8072-9461
Adam E LockeMcDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, 63108, USA.ORCID http://orcid.org/0000-0001-6227-198X
Christian FuchsbergerDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA.
Heather M StringhamDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-2991-6392
Ryan WelchDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0001-6378-1295
Ketian YuDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0001-9994-3399
Lilian Fernandes SilvaInstitute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, 70210, Finland.ORCID http://orcid.org/0000-0003-0225-842X
Susan K ServiceCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, 90024, USA.
Daiwei ZhangDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-5019-622X
Emily C HectorDepartment of Statistics, North Carolina State University, Raleigh, NC, 27695, USA.ORCID http://orcid.org/0000-0003-1488-3150
Erica YoungMcDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, 63108, USA.ORCID http://orcid.org/0000-0002-3671-211X
Liron GanelMcDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, 63108, USA.ORCID http://orcid.org/0000-0002-8762-622X
Indraniel DasMcDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, 63108, USA.
Haley AbelDepartment of Medicine, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Michael R ErdosMolecular Genetics Section, Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA.ORCID http://orcid.org/0000-0002-6603-1833
Lori L BonnycastleMolecular Genetics Section, Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Johanna KuusistoInstitute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, 70210, Finland.
Nathan O StitzielMcDonnell Genome Institute, Washington University School of Medicine, St Louis, MO, 63108, USA.ORCID http://orcid.org/0000-0002-4963-8211
Ira M HallCenter for Genomic Health, Department of Genetics, Yale University, New Haven, CT, 06510, USA.ORCID http://orcid.org/0000-0003-4442-6655
Gregory R WagnerMetabolon, Inc., Morrisville, NC, 27560, USA.
FinnGen
Jian KangDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA.
Jean MorrisonDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0003-4829-8283
Charles F BurantDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, 48109, USA.
Francis S CollinsMolecular Genetics Section, Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
Samuli RipattiInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, 00290, Finland.ORCID http://orcid.org/0000-0002-0504-1202
Aarno PalotieInstitute for Molecular Medicine Finland, FIMM, HiLIFE, University of Helsinki, Helsinki, 00290, Finland.ORCID http://orcid.org/0000-0002-2527-5874
Nelson B FreimerCenter for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, 90024, USA.ORCID http://orcid.org/0000-0003-3586-6587
Karen L MohlkeDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.ORCID http://orcid.org/0000-0001-6721-153X
Laura J ScottDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-4886-5084
Xiaoquan WenDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0001-8990-2737
Eric B FaumanInternal Medicine Research Unit, Pfizer Worldwide Research, Development and Medical, Cambridge, MA, 02139, USA. Eric.Fauman@pfizer.com.ORCID http://orcid.org/0000-0002-9739-0249
Markku LaaksoInstitute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, 70210, Finland. markku.laakso@uef.fi.ORCID http://orcid.org/0000-0002-3394-7749
Michael BoehnkeDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, 48109, USA. boehnke@umich.edu.ORCID http://orcid.org/0000-0002-6442-7754

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Supplement Proposal: Accelerated Genome Aggregation and Joint Variant Calling EffortUM1HG008853 · NHGRI · WASHINGTON UNIVERSITY · PI HALL, IRA M, MILBRANDT, JEFFREY D · 2016 to 2020
$76.2M
Genetic analysis of type II diabetes in Finnish populationZIAHG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERDOS, MICHAEL · 2009 to 2025
$38.2M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Triglycerides, Diabetes and Cardiovascular DiseaseP01HL151328 · NHLBI · UNIVERSITY OF WASHINGTON · PI Karin E Bornfeldt · 2020 to 2026
$19.6M
Identifying Genes for Type 2 Diabetes: FUSIONU01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2009 to 2021
$11.6M
Targeted Genetic Analysis of T2D and Quantitative TraitsR01DK072193 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2005 to 2026
$11.3M
PRINCIPLES IN CARDIVASCULAR RESEARCH TRAINING PROGRAMT32HL007081 · NHLBI · WASHINGTON UNIVERSITY · PI Abhinav Diwan, Karen Ellen Joynt Maddox · 1985 to 2026
$10.6M
Genetic epidemiology of rare and regulatory variants for metabolic traitsR01DK093757 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2011 to 2026
$8.2M
Identifying Genes for Type 2 Diabetes:FUSIONR01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2003 to 2025
$6.7M
Statistical ICA Methods for Analysis & Integration of Multi-dimensional Data Diversity SupplementR01MH105561 · NIMH · EMORY UNIVERSITY · PI GUO, YING, KANG, JIAN · 2014 to 2024
$4.3M
Whole Genome Sequencing for Nephrotic Syndrome DiscoveryR01DK119380 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI Dongwon Lee, MATTHEW Gordon SAMPSON · 2019 to 2026
$3.7M
Intramural NIH HHS ZIA HG000024NCATS NIH HHS UL1 TR002345NHGRI NIH HHS UM1 HG008853NHLBI NIH HHS P01 HL151328NHLBI NIH HHS R01 HL131961NHLBI NIH HHS T32 HL007081NIDA NIH HHS R01 DA048993NIDDK NIH HHS P30 DK020572NIDDK NIH HHS R01 DK062370NIDDK NIH HHS R01 DK072193NIDDK NIH HHS R01 DK093757NIDDK NIH HHS R01 DK119380NIDDK NIH HHS U01 DK062370NIDDK NIH HHS U01 DK105561NIGMS NIH HHS R01 GM124061NIGMS NIH HHS R35 GM138121NIMH NIH HHS R01 MH105561
6 · The paper itself

Abstract

Few studies have explored the impact of rare variants (minor allele frequency < 1%) on highly heritable plasma metabolites identified in metabolomic screens. The Finnish population provides an ideal opportunity for such explorations, given the multiple bottlenecks and expansions that have shaped its history, and the enrichment for many otherwise rare alleles that has resulted. Here, we report genetic associations for 1391 plasma metabolites in 6136 men from the late-settlement region of Finland. We identify 303 novel association signals, more than one third at variants rare or enriched in Finns. Many of these signals identify genes not previously implicated in metabolite genome-wide association studies and suggest mechanisms for diseases and disease-related traits.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideAllelesFinlandGene FrequencyGenetic Predisposition to DiseaseHumansMalePhenotype

Identifiers

PMID35347128
PMCPMC8960770

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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.