Genotype-by-sex interaction in the aetiology of type 2 diabetes mellitus: support for sex-specific quantitative trait loci in Hypertension Genetic Epidemiology Network participants

被引:18
作者
Avery, C. L.
Freedman, B. I.
Kraja, A. T.
Borecki, I. B.
Miller, M. B.
Pankow, J. S.
Arnett, D.
Lewis, C. E.
Myers, R. H.
Hunt, S. C.
North, K. E.
机构
[1] Univ N Carolina, Dept Epidemiol, Chapel Hill, NC 27514 USA
[2] Wake Forest Univ, Dept Internal Med, Winston Salem, NC 27109 USA
[3] Washington Univ, Sch Med, Div Stat Genom, St Louis, MO USA
[4] Univ Minnesota, Div Epidemiol & Community Hlth, Minneapolis, MN USA
[5] Univ Alabama, Dept Epidemiol, Birmingham, AL USA
[6] Univ Alabama, Sch Med, Div Publ Hlth, Birmingham, AL USA
[7] Boston Univ, Neurogenet Sect, Boston, MA 02215 USA
[8] Univ Utah, Cardiovasc Genet Div, Salt Lake City, UT USA
关键词
genome scan; Genotype-by-sex interaction; type 2 diabetes mellitus;
D O I
10.1007/s00125-006-0375-4
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aims/hypothesis While there are sex-related differences in both the prevalence of type 2 diabetes mellitus and disease risk factors, there is only limited research on sex-specific influences on type 2 diabetes aetiology within the same study population. Thus, we assessed genotype-by-sex interaction using a liability threshold model in an attempt to localise sex-specific type 2 diabetes quantitative trait loci (QTLs). Subjects, materials and methods Hypertensive siblings and their offspring and/or parents in the Hypertension Genetic Epidemiology Network of the Family Blood Pressure Program were recruited from five field centres. The diabetic phenotype was adjusted for race, study centre, age and non-linear age effects. In total, 567 diabetic individuals were identified in 385 families. Variance component linkage analyses in the combined sample and stratified by sex and race were performed (SOLAR program) using race-specific marker allele frequencies derived from a random sample of participants at each centre. Results We observed a QTL-specific genotype-by-sex interaction (p=0.009) on chromosome 17 at 31 cM, with females displaying a robust adjusted logarithm of odds (LOD) of 3.0 compared with 0.2 in males and 1.3 in the combined sample. Three additional regions demonstrating suggestive evidence for linkage were detected: chromosomes 2 and 5 in the female sample and chromosome 22 (adjusted LOD=1.9) in the combined sample. Conclusions/interpretation These findings suggest that multiple genes may regulate susceptibility to type 2 diabetes, demonstrating the importance of considering the interaction of genes and environment in the aetiology of common complex traits.
引用
收藏
页码:2329 / 2336
页数:8
相关论文
共 52 条
[1]   Handling marker-marker linkage disequilibrium: Pedigree analysis with clustered markers [J].
Abecasis, GR ;
Wigginton, JE .
AMERICAN JOURNAL OF HUMAN GENETICS, 2005, 77 (05) :754-767
[2]   Merlin-rapid analysis of dense genetic maps using sparse gene flow trees [J].
Abecasis, GR ;
Cherny, SS ;
Cookson, WO ;
Cardon, LR .
NATURE GENETICS, 2002, 30 (01) :97-101
[3]   GRR: graphical representation of relationship errors [J].
Abecasis, GR ;
Cherny, SS ;
Cookson, WOC ;
Cardon, LR .
BIOINFORMATICS, 2001, 17 (08) :742-743
[4]   Multipoint quantitative-trait linkage analysis in general pedigrees [J].
Almasy, L ;
Blangero, J .
AMERICAN JOURNAL OF HUMAN GENETICS, 1998, 62 (05) :1198-1211
[5]   Linkage analysis of diabetes status among hypertensive families - The hypertension genetic epidemiology network study [J].
Avery, CL ;
Freedman, BI ;
Heiss, G ;
Kraja, A ;
Rice, T ;
Arnett, D ;
Miller, MB ;
Pankow, JS ;
Lewis, CE ;
Myers, RH ;
Hunt, SC ;
Almasy, L ;
North, KE .
DIABETES, 2004, 53 (12) :3307-3312
[6]   Dexamethasone induction of hypertension and diabetes is PPAR-α dependent in LDL receptor-null mice [J].
Bernal-Mizrachi, C ;
Weng, S ;
Feng, C ;
Finck, BN ;
Knutsen, RH ;
Leone, TC ;
Coleman, TY ;
Mecham, RP ;
Kelly, DP ;
Semenkovich, CF .
NATURE MEDICINE, 2003, 9 (08) :1069-1075
[7]   Variance component methods for detecting complex trait loci [J].
Blangero, J ;
Williams, JT ;
Almasy, L .
GENETIC DISSECTION OF COMPLEX TRAITS, 2001, 42 :151-181
[8]   Different ways to regulate the PPARα stability [J].
Blanquart, C ;
Mansouri, R ;
Fruchart, JC ;
Staels, B ;
Glineur, C .
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2004, 319 (02) :663-670
[9]   Projection of diabetes burden through 2050 - Impact of changing demography and disease prevalence in the US [J].
Boyle, JP ;
Honeycutt, AA ;
Narayan, KMV ;
Hoerger, TJ ;
Geiss, LS ;
Chen, H ;
Thompson, TJ .
DIABETES CARE, 2001, 24 (11) :1936-1940
[10]   A genomewide search for type 2 diabetes-susceptibility genes in indigenous Australians [J].
Busfield, F ;
Duffy, DL ;
Kesting, JB ;
Walker, SM ;
Lovelock, PK ;
Good, D ;
Tate, H ;
Watego, D ;
Marczak, M ;
Hayman, N ;
Shaw, JTE .
AMERICAN JOURNAL OF HUMAN GENETICS, 2002, 70 (02) :349-357