Agreement among type 2 diabetes linkage studies but a poor correlation with results from genome-wide association studies

被引:17
作者
Lillioja, S. [1 ]
Wilton, A. [2 ]
机构
[1] Univ Wollongong, Illawarra Hlth & Med Res Inst, Wollongong, NSW 2522, Australia
[2] Univ New S Wales, Sch Biotechnol & Biomol Sci, Sydney, NSW, Australia
关键词
Allelic heterogeneity; Cluster analysis; Genetic association; Genetic linkage; Genome-wide association study; MODY; Quantitative trait; Replication; Single nucleotide polymorphisms; Type; 2; diabetes; QUANTITATIVE TRAIT LOCI; INSULIN-RESISTANCE ATHEROSCLEROSIS; BETA-CELL FUNCTION; PROVIDES INDEPENDENT REPLICATION; OBESITY-RELATED PHENOTYPES; FASTING SERUM-INSULIN; BY-SEX INTERACTION; HONG-KONG CHINESE; OLD ORDER AMISH; SUSCEPTIBILITY LOCUS;
D O I
10.1007/s00125-009-1324-9
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Little of the genetic basis for type 2 diabetes has been explained, despite numerous genetic linkage studies and the discovery of multiple genes in genome-wide association (GWA) studies. To begin to resolve the genetic component of this disease, we searched for sites at which genetic results had been corroborated in different studies, in the expectation that replication among studies should direct us to the genomic locations of causative genes with more confidence than the results of individual studies. We have mapped the physical location of results from 83 linkage reports (for type 2 diabetes and diabetes precursor quantitative traits [QTs, e.g. plasma insulin levels]) and recent large GWA reports (for type 2 diabetes) onto the same human genome sequence to identify replicated results in diabetes genetic 'hot spots'. Genetic linkage has been found at least ten times at 18 different locations, and at least five times in 56 locations. All replication clusters contained study populations from more than one ethnic background and most contained results for both diabetes and QTs. There is no close relationship between the GWA results and linkage clusters, and the nine best replication clusters have no nearby GWA result. Many of the genes for type 2 diabetes remain unidentified. This analysis identifies the broad location of yet to be identified genes on 6q, 1q, 18p, 2q, 20q, 17pq, 8p, 19q and 9q. The discrepancy between the linkage and GWA studies may be explained by the presence of multiple, uncommon, mildly deleterious polymorphisms scattered throughout the regulatory and coding regions of genes for type 2 diabetes.
引用
收藏
页码:1061 / 1074
页数:14
相关论文
共 132 条
[1]   Quantitative-trait homozygosity and association mapping and empirical genomewide significance in large, complex pedigrees: Fasting serum-insulin level in the hutterites [J].
Abney, M ;
Ober, C ;
McPeek, MS .
AMERICAN JOURNAL OF HUMAN GENETICS, 2002, 70 (04) :920-934
[2]   A haplotype map of the human genome [J].
Altshuler, D ;
Brooks, LD ;
Chakravarti, A ;
Collins, FS ;
Daly, MJ ;
Donnelly, P ;
Gibbs, RA ;
Belmont, JW ;
Boudreau, A ;
Leal, SM ;
Hardenbol, P ;
Pasternak, S ;
Wheeler, DA ;
Willis, TD ;
Yu, FL ;
Yang, HM ;
Zeng, CQ ;
Gao, Y ;
Hu, HR ;
Hu, WT ;
Li, CH ;
Lin, W ;
Liu, SQ ;
Pan, H ;
Tang, XL ;
Wang, J ;
Wang, W ;
Yu, J ;
Zhang, B ;
Zhang, QR ;
Zhao, HB ;
Zhao, H ;
Zhou, J ;
Gabriel, SB ;
Barry, R ;
Blumenstiel, B ;
Camargo, A ;
Defelice, M ;
Faggart, M ;
Goyette, M ;
Gupta, S ;
Moore, J ;
Nguyen, H ;
Onofrio, RC ;
Parkin, M ;
Roy, J ;
Stahl, E ;
Winchester, E ;
Ziaugra, L ;
Shen, Y .
NATURE, 2005, 437 (7063) :1299-1320
[3]   Genetic Mapping in Human Disease [J].
Altshuler, David ;
Daly, Mark J. ;
Lander, Eric S. .
SCIENCE, 2008, 322 (5903) :881-888
[4]   Standards of medical care in diabetes 2008 [J].
不详 .
DIABETES CARE, 2008, 31 :S12-S54
[5]   Quantitative trait loci on chromosome 8q24 for pancreatic β-cell function and 7q11 for insulin sensitivity in obese nondiabetic white and black families -: Evidence from genome-wide linkage scans in the NHLBI Hypertension Genetic Epidemiology Network (HyperGEN) study [J].
An, P ;
Freedman, BI ;
Rich, SS ;
Mandel, SA ;
Arnett, DK ;
Myers, RH ;
Chen, YDI ;
Hunt, SC ;
Rao, DC .
DIABETES, 2006, 55 (02) :551-558
[6]   Genome-wide linkage scans for prediabetes phenotypes in response to 20 weeks of endurance exercise training in non-diabetic whites and blacks: the HERITAGE Family Study [J].
An, P ;
Teran-Garcia, M ;
Rice, T ;
Rankinen, T ;
Weisnagel, SJ ;
Bergman, RN ;
Boston, RC ;
Mandel, S ;
Stefanovski, D ;
Leon, AS ;
Skinner, JS ;
Rao, DC ;
Bouchard, C .
DIABETOLOGIA, 2005, 48 (06) :1142-1149
[7]   Genome-wide linkage scans for fasting glucose, insulin, and insulin resistance in the National Heart, Lung, and Blood Institute Family Blood Pressure Program - Evidence of linkages to chromosome 7q36 and 19q13 from meta-analysis [J].
An, P ;
Freedman, BI ;
Hanis, CL ;
Chen, YDI ;
Weder, AB ;
Schork, NJ ;
Boerwinkle, E ;
Province, MA ;
Hsiung, CA ;
Wu, XD ;
Quertermous, T ;
Rao, DC .
DIABETES, 2005, 54 (03) :909-914
[8]   Genomic scan of glucose and insulin metabolism phenotypes: The HERITAGE family study [J].
An, P ;
Hong, YL ;
Weisnagel, SJ ;
Rice, T ;
Rankinen, T ;
Leon, AS ;
Skinner, JS ;
Wilmore, JH ;
Chagnon, YC ;
Bergman, RN ;
Bouchard, C ;
Rao, DC .
METABOLISM-CLINICAL AND EXPERIMENTAL, 2003, 52 (02) :246-253
[9]   Limits of fine-mapping a quantitative trait [J].
Atwood, LD ;
Heard-Costa, NL .
GENETIC EPIDEMIOLOGY, 2003, 24 (02) :99-106
[10]   A genonte-wide search for genes involved in type 2 diabetes in a recently genetically isolated population from the Netherlands [J].
Aulchenko, YS ;
Vaessen, N ;
Heutink, P ;
Pullen, J ;
Snijders, PJLM ;
Hofman, A ;
Sandkuijl, LA ;
Honwin-Duistermaat, JJ ;
Edwards, M ;
Bennett, S ;
Oostra, BA ;
van Duijn, CM .
DIABETES, 2003, 52 (12) :3001-3004