Evidence map›Paper›PMID 19729412›Full record

SynthesisHuman molecular genetics2009

Genetic variation in GPR133 is associated with height: genome wide association study in the self-contained population of Sorbs.

Anke Tönjes, Moritz Koriath, Dorit Schleinitz, Kerstin Dietrich, Yvonne Böttcher, Nigel W Rayner, Peter Almgren, Beate Enigk, Olaf Richter, Silvio Rohm and 10 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Human molecular genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
4.4field-weighted citation impact, top 5% 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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Pooled it
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  14. Metabolic effects of genetic variation in the human REPIN1 gene.International journal of obesity (2005) · 2019
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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

20 authors at 6 institutions in 4 countries.

Anke TönjesDepartment of Medicine, University of Leipzig, Leipzig,Germany.
Moritz Koriath
Dorit Schleinitz
Kerstin Dietrich
Yvonne Böttcher
Nigel W Rayner
Peter Almgren
Beate Enigk
Olaf Richter
Silvio Rohm
Antje Fischer-Rosinsky
Andreas Pfeiffer
Katrin Hoffmann
Knut Krohn
Gabriela Aust
Joachim Spranger
Leif Groop
Matthias Blüher
Peter Kovacs
Michael Stumvoll
Center for Clinical Research (United States) · USLeipzig University · DECharité - Universitätsmedizin Berlin · DEGerman Institute of Human Nutrition · DELund University · SEUniversity of Oxford · GB

Funding

Medical Research Council G0000934Wellcome TrustWellcome Trust 068545/Z/02
6 · The paper itself

Abstract

Recently, associations of several common genetic variants with height have been reported in different populations. We attempted to identify further variants associated with adult height in a self-contained population (the Sorbs in Eastern Germany) as discovery set. We performed a genome wide association study (GWAS) (approximately 390,000 genetic polymorphisms, Affymetrix gene arrays) on adult height in 929 Sorbian individuals. Subsequently, the best SNPs (P < 0.001) were taken forward to a meta-analysis together with two independent cohorts [Diabetes Genetics Initiative, British 1958 Birth Cohort, (58BC, publicly available)]. Furthermore, we genotyped our best signal for replication in two additional German cohorts (Leipzig, n = 1044 and Berlin, n = 1728). In the primary Sorbian GWAS, we identified 5 loci with a P-value < 10(-5) and 455 SNPs with P-value < 0.001. In the meta-analysis on those 455 SNPs, only two variants in GPR133 (rs1569019 and rs1976930; in LD with each other) retained a P-value at or below 10(-6) and were associated with height in the three cohorts individually. Upon replication, the SNP rs1569019 showed significant effects on height in the Leipzig cohort (P = 0.004, beta = 1.166) and in 577 men of the Berlin cohort (P = 0.049, beta = 1.127) though not in women. The combined analysis of all five cohorts (n = 6,687) resulted in a P-value of 4.7 x 10(-8) (beta = 0.949). In conclusion, our GWAS suggests novel loci influencing height. In view of the robust replication in five different cohorts, we propose GPR133 to be a novel gene associated with adult height.

Indexed as

Body HeightGenetic VariationGenome-Wide Association StudyAdultAgedCohort StudiesFemaleGermanyHumansMaleMiddle AgedPolymorphism, Single NucleotideReceptors, G-Protein-CoupledWhite PeopleADGRD1 protein, humanReceptors, G-Protein-Coupled

Identifiers

PMID19729412
PMCPMC2773272
OpenAlexW2165375949

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.