Evidence map›Paper›PMID 18193045›Full record

SynthesisNature genetics2008

Common variants in the GDF5-UQCC region are associated with variation in human height.

Serena Sanna, Anne U Jackson, Ramaiah Nagaraja, Cristen J Willer, Wei-Min Chen, Lori L Bonnycastle, Haiqing Shen, Nicholas Timpson, Guillaume Lettre, Gianluca Usala and 28 more

Open access · greenAbstract readComparative StudyMeta-Analysis
In one paragraph

Synthesis in Nature genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 220 papers, 20 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
220citing papers in PubMed, 20 pooled it
33.6field-weighted citation impact, top 1% 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

220 citing papers in PubMed, 20 syntheses or guidelines pooled it, 401 citations in OpenAlex.

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  8. Genetics of serum BDNF: meta-analysis of the Val66Met and genome-wide association study.The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry · 2013
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160 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 at 15 institutions in 4 countries.

Serena SannaCenter for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Anne U Jackson
Ramaiah Nagaraja
Cristen J Willer
Wei-Min Chen
Lori L Bonnycastle
Haiqing Shen
Nicholas Timpson
Guillaume Lettre
Gianluca Usala
Peter S Chines
Heather M Stringham
Laura J Scott
Mariano Dei
Sandra Lai
Giuseppe Albai
Laura Crisponi
Silvia Naitza
Kimberly F Doheny
Elizabeth W Pugh
Yoav Ben-Shlomo
Shah Ebrahim
Debbie A Lawlor
Richard N Bergman
Richard M Watanabe
Manuela Uda
Jaakko Tuomilehto
Josef Coresh
Joel N Hirschhorn
Alan R Shuldiner
David Schlessinger
Francis S Collins
George Davey Smith
Eric Boerwinkle
Antonio Cao
Michael Boehnke
Gonçalo R Abecasis
Karen L Mohlke
Institute of Genetic and Biomedical Research · ITUniversity of Michigan–Ann Arbor · USJohns Hopkins University · USNational Human Genome Research Institute · USUniversity of Bristol · GBBroad Institute · USNational Institute on Aging · USUniversity of Maryland, Baltimore · USUniversity of Southern California · USLondon School of Hygiene & Tropical Medicine · GBMedical Research Council · GBThe University of Texas Health Science Center at Houston · USUniversity of Helsinki · FIUniversity of North Carolina at Chapel Hill · USUniversity of Virginia · US

Funding

Genetic analysis of type II diabetes in Finnish populationZIAHG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERDOS, MICHAEL · 2009 to 2025
$38.2M
Zonulin Antibodies in Intestinal Permeabilitiy in IDDMM01RR016500 · NCRR · UNIVERSITY OF MARYLAND BALTIMORE · PI OSWALD, LYNN M · 2002 to 2009
$20.2M
Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D, TAYLOR, SIMEON I. · 2005 to 2019
$17.3M
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
Genome-wide Search for CVD Gene-Environment InteractionsU01HL072515 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULDINER, ALAN R. · 2002 to 2008
$11.2M
QUANTITATION OF FACTORS REGULATING GLUCOSE TOLERANCER01DK029867 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MARILYN ADER · 1986 to 2026
$11.0M
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
GENETIC ANALYSIS OF TYPE II DIABETES IN FINNISH POPULATIONZ01HG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI COLLINS, FRANCIS S. · 1995 to 2008
$6.2M
Aging-related Traits and Disease Risk Factors in a Sardinian Population CohortZIAAG000675 · NIA · NATIONAL INSTITUTE ON AGING · PI GOROSPE, MYRIAM · 2009 to 2021
$5.7M
Longevity Genes in Founder PopulationsR01AG018728 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULDINER, ALAN R. · 2001 to 2005
$3.8M
Computational and Statistical Models for Human PedigreesR01HG002651 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2003 to 2008
$2.9M
Intramural NIH HHS Z01 HG000024Medical Research Council G0000934Medical Research Council G0600705NCRR NIH HHS M01 RR016500NCRR NIH HHS M01 RR 16500NHGRI NIH HHS HG002651NHGRI NIH HHS N01 HG065403NHGRI NIH HHS R01 HG002651NHLBI NIH HHS HL084729NHLBI NIH HHS HL72515NHLBI 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-HC-55015NHLBI NIH HHS N01-HC-55016NHLBI NIH HHS N01-HC-55018NHLBI NIH HHS N01-HC-55019NHLBI NIH HHS N01-HC-55020NHLBI NIH HHS N01-HC-55021NHLBI NIH HHS N01-HC-55022NHLBI NIH HHS U01 HL072515NHLBI NIH HHS U01 HL084729NIAMS NIH HHS AR046838NIAMS NIH HHS R01 AR046838NIA NIH HHS AG18728NIA NIH HHS R01 AG018728NIDDK NIH HHS DK062370NIDDK NIH HHS DK072193NIDDK NIH HHS DK54361NIDDK NIH HHS P30 DK072488NIDDK NIH HHS R01 DK029867NIDDK NIH HHS R01 DK062370NIDDK NIH HHS R01 DK072193NIDDK NIH HHS R56 DK062370NIDDK NIH HHS U01 DK062370Wellcome TrustWellcome Trust 068545/Z/02
6 · The paper itself

Abstract

Identifying genetic variants that influence human height will advance our understanding of skeletal growth and development. Several rare genetic variants have been convincingly and reproducibly associated with height in mendelian syndromes, and common variants in the transcription factor gene HMGA2 are associated with variation in height in the general population. Here we report genome-wide association analyses, using genotyped and imputed markers, of 6,669 individuals from Finland and Sardinia, and follow-up analyses in an additional 28,801 individuals. We show that common variants in the osteoarthritis-associated locus GDF5-UQCC contribute to variation in height with an estimated additive effect of 0.44 cm (overall P < 10(-15)). Our results indicate that there may be a link between the genetic basis of height and osteoarthritis, potentially mediated through alterations in bone growth and development.

Indexed as

Genetic Variation5' Untranslated RegionsAgedAllelesBlack or African AmericanBody HeightBody Mass IndexBone Morphogenetic ProteinsChromosomes, Human, Pair 20Confounding Factors, EpidemiologicFemaleGene DosageGene FrequencyGenetic MarkersGenome, HumanGrowth Differentiation Factor 55' Untranslated RegionsBone Morphogenetic ProteinsGDF5 protein, humanGenetic MarkersGrowth Differentiation Factor 5HMGA2 ProteinRecombinant Proteins

Identifiers

PMID18193045
PMCPMC2914680
OpenAlexW1982380837

What OpenQuestion holds

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Registered trials

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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.