Source:http://linkedlifedata.com/resource/pubmed/id/12874106
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rdf:type | |
lifeskim:mentions |
umls-concept:C0008633,
umls-concept:C0011860,
umls-concept:C0016999,
umls-concept:C0017428,
umls-concept:C0183185,
umls-concept:C0205147,
umls-concept:C0205314,
umls-concept:C0208973,
umls-concept:C0239307,
umls-concept:C0332120,
umls-concept:C0423899,
umls-concept:C0679622,
umls-concept:C0920317,
umls-concept:C1513822,
umls-concept:C1517892,
umls-concept:C1704666,
umls-concept:C1880171
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pubmed:issue |
15
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pubmed:dateCreated |
2003-7-22
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pubmed:abstractText |
Positional cloning is expected to identify novel susceptibility genes underlying complex traits, but replication of genome-wide linkage scan findings has proven erratic. To improve our ability to detect and prioritize chromosomal regions containing type 2 diabetes susceptibility genes, the GIFT consortium has implemented a meta-analysis of four scans conducted in European samples. These included the Botnia I and Botnia II scans, with respectively 58 and 353 pedigrees from Finland and Sweden, the Warren 2 scan performed in 573 multiplex sibships from the UK, and a scan of 143 families from France. The meta-analysis was implemented using the genome-search analysis method (GSMA), an exploratory data analysis technique which is robust across study designs. The analysis provided evidence for linkage of type 2 diabetes to six regions, with the strongest evidence on chromosome 17p11.2-q22 (P=0.0016), followed by 2p22.1-p13.2 (P=0.027), 1p13.1-q22 (P=0.028), 12q21.1-q24.12 (P=0.029), 6q21-q24.1 (P=0.033) and 16p12.3-q11.2 (P=0.033). Linkage analysis of the pooled raw genotype data generated maximum LOD scores in the same regions as identified by GSMA. Altogether, our results have indicated that GSMA is a valuable tool to identify chromosomal regions of interest and that accumulating evidence for linkage from small peaks detected across several samples may be more important than getting a high peak in a single sample. This meta-analysis has led to identification of a novel region on chromosome 17 linked to type 2 diabetes; this region has not been highlighted in any published scan to date but on the basis of these data justifies further exploration.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Aug
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pubmed:issn |
0964-6906
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pubmed:author |
pubmed-author:AlmgrenPeterP,
pubmed-author:DandrieuxCandiceC,
pubmed-author:DemenaisFlorenceF,
pubmed-author:DinaChristianC,
pubmed-author:FroguelPhilippeP,
pubmed-author:GagetStéphaneS,
pubmed-author:GroopLeif CLC,
pubmed-author:HattersleyAndrewA,
pubmed-author:KanninenTimoT,
pubmed-author:LindgrenCecilia MCM,
pubmed-author:McCarthyMark IMI,
pubmed-author:SjögrenMarketaM,
pubmed-author:TuomiTiinamaijaT,
pubmed-author:WiltshireStevenS
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pubmed:issnType |
Print
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pubmed:day |
1
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pubmed:volume |
12
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1865-73
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading |
pubmed-meshheading:12874106-Chromosome Mapping,
pubmed-meshheading:12874106-Chromosomes, Human, Pair 17,
pubmed-meshheading:12874106-Diabetes Mellitus, Type 2,
pubmed-meshheading:12874106-Europe,
pubmed-meshheading:12874106-Genome, Human,
pubmed-meshheading:12874106-Humans,
pubmed-meshheading:12874106-Lod Score
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pubmed:year |
2003
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pubmed:articleTitle |
A meta-analysis of four European genome screens (GIFT Consortium) shows evidence for a novel region on chromosome 17p11.2-q22 linked to type 2 diabetes.
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pubmed:affiliation |
EMI 0006, INSERM-Université d'Evry, Evry, France.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't,
Meta-Analysis
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