Evidence map›Paper›PMID 18223311›Full record

SynthesisHuman heredity2008

Meta-analysis of 23 type 2 diabetes linkage studies from the International Type 2 Diabetes Linkage Analysis Consortium.

Weihua Guan, Anna Pluzhnikov, Nancy J Cox, Michael Boehnke, International Type 2 Diabetes Linkage Analysis Consortium

Erratum issuedAbstract readMeta-Analysis
In one paragraph

Synthesis in Human heredity, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
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  11. Article
  12. Review
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  14. Replication in genome-wide association studies.Statistical science : a review journal of the Institute of Mathematical Statistics · 2009
    Article
  15. Review
  16. Article
  17. Review
  18. Article
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors.

Weihua GuanDepartment of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109-2029, USA.
Anna Pluzhnikov
Nancy J Cox
Michael Boehnke
International Type 2 Diabetes Linkage Analysis Consortium

Funding

PEDIGREE ANALYSIS OF LIPOPROTEIN PHENOTYPESP01HL045522 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 1991 to 2012
$27.6M
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
CONSORTIUM LINKAGE STUDIES OF TYPE 2 DIABETESU01DK058026 · NIDDK · UNIVERSITY OF CHICAGO · PI COX, NANCY J. · 1999 to 2004
$7.5M
Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
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
DESIGN AND ANALYSIS OF HUMAN GENE MAPPING STUDIESR01HG000376 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 1993 to 2016
$5.5M
NIDDM SUSCEPTIBILITY GENES IN MEXICAN-AMERICANSR01DK047482 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LEHMAN, DONNA M · 1993 to 2010
$5.4M
GENETICS OF DIABETES IN THE AMISHR01DK054261 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULDINER, ALAN R. · 2000 to 2009
$5.1M
Fine mapping and Positional Cloning of Diabetes GenesR01DK072128 · NIDDK · HOWARD UNIVERSITY · PI CHEN, YUANXIU · 2006 to 2009
$1.6M
GENETIC EPIDEMIOLOGY OF NIDDM IN MEXICAN AMERICANSR01DK042273 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI STERN, MICHAEL P · 1991 to 2000
$532k
Identifying Genes for Type 2 Diabetes: FUSIONR56DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 2008 to 2008
$500k
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
FIC NIH HHS 3T37TW00041FIC NIH HHS T37 TW000041Intramural NIH HHS Z01 DK054001NHGRI NIH HHS HG00376NHGRI NIH HHS R01 HG000376NHGRI NIH HHS R56 HG000376NHLBI NIH HHS HL45522NHLBI NIH HHS P01 HL045522NIDDK NIH HHS DK42273NIDDK NIH HHS DK47482NIDDK NIH HHS DK54001NIDDK NIH HHS DK54261NIDDK NIH HHS DK58026NIDDK NIH HHS DK62370NIDDK NIH HHS DK72128NIDDK NIH HHS R01 DK047482NIDDK NIH HHS R01 DK054261NIDDK NIH HHS R01 DK062370NIDDK NIH HHS R01 DK072128NIDDK NIH HHS R56 DK062370NIDDK NIH HHS U01 DK058026NIDDK NIH HHS U01 DK062370NIMH NIH HHS MH59490NIMH NIH HHS R01 MH059490NIMH NIH HHS R37 MH059490Wellcome Trust 090532
6 · The paper itself

Abstract

backgroundThe International Type 2 Diabetes Linkage Analysis Consortium was formed to localize type 2 diabetes predisposing variants based on 23 autosomal linkage scans.

methodsWe carried out meta-analysis using the genome scan meta-analysis (GSMA) method which divides the genome into bins of approximately 30 cM, ranks the best linkage results in each bin for each sample, and then sums the ranks across samples. We repeated the meta-analysis using 2 cM bins, and/or replacing bin ranks with measures of linkage evidence: bin maximum LOD score or bin minimum p value for bins with p value <0.05 (truncated p value). We also carried out computer simulations to assess the empirical type I error rates of these meta-analysis methods.

resultsOur analyses provided modest evidence for type 2 diabetes-predisposing variants on chromosomes 4, 10, and 14 (using LOD scores or truncated p values), or chromosome 10 and 16 (using ranks). Our simulation results suggested that uneven marker density across studies results in substantial variation in empirical type I error rates for all meta-analysis methods, but that 2 cM bins and scores that make more explicit use of linkage evidence, especially the truncated p values, reduce this problem.

conclusionWe identified regions modestly linked with type 2 diabetes by summarizing results from 23 autosomal genome scans.

Indexed as

Genetic LinkageChromosome MappingChromosomes, HumanComputer SimulationDiabetes Mellitus, Type 2FemaleGenetic MarkersGenetic Predisposition to DiseaseGenomicsHumansInternational AgenciesLod ScoreMaleModels, GeneticPolymorphism, Single NucleotideGenetic Markers

Identifiers

PMID18223311
PMCPMC2855874

What OpenQuestion holds

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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.