Multipoint analysis using affected sib pairs: Incorporating linkage evidence from unlinked regions

被引:17
作者
Liang, KY
Chiu, YF
Beaty, TH
Wjst, M
机构
[1] Johns Hopkins Sch Publ Hlth, Dept Biostat, Baltimore, MD USA
[2] Johns Hopkins Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA
[3] Univ N Carolina, Dept Biostat, Chapel Hill, NC 27515 USA
[4] GSF Forschungszentrum Umwelt & Gesundheit, Inst Epidemiol, Neuherberg, Germany
关键词
affected sib pairs; complex disease; generalized estimating equations; identity by descent; two locus models;
D O I
10.1002/gepi.1021
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
In this paper, we proposed a multipoint method to assess evidence of linkage to one region by incorporating linkage evidence from another region. This approach uses affected sib pairs in which the number of alleles shared identical by descent (IBD) is the primary statistic. This generalized estimating equation (GEE) approach is robust in that no assumption about the mode of inheritance is required, other than assuming the two regions being considered are unlinked and that there is no more than one susceptibility gene in each region. The method proposed here uses data from all available families to simultaneously test the hypothesis of statistical interaction between regions and to estimate the location of the susceptibility gene in the target region. As an illustration, we have applied this GEE method to an asthma sib pair study (Wjst et al. [1999] Genomics 58:1-8), which earlier reported evidence of linkage to chromosome 6 but showed no evidence for chromosome 20. Our results yield strong evidence to chromosome 20 (P value = 0.0001) after incorporating linkage information from chromosome 6. Furthermore, it estimates with 95% certainty that the map location of the susceptibility gene is flanked by markers D20S186 and D20S101, which are approximately 16.3 cM apart. (C) 2001 Wiley-Liss, Inc.
引用
收藏
页码:105 / 122
页数:18
相关论文
共 20 条
[1]   EFFECTS OF MIS-SPECIFYING GENETIC-PARAMETERS IN LOD SCORE ANALYSIS [J].
CLERGETDARPOUX, F ;
BONAITIPELLIE, C ;
HOCHEZ, J .
BIOMETRICS, 1986, 42 (02) :393-399
[2]  
CORDELL HJ, 1995, AM J HUM GENET, V57, P920
[3]   Loci on chromosomes 2 (NIDDM1) and 15 interact to increase susceptibility to diabetes in Mexican Americans [J].
Cox, NJ ;
Frigge, M ;
Nicolae, DL ;
Concannon, P ;
Hanis, CL ;
Bell, GI ;
Kong, A .
NATURE GENETICS, 1999, 21 (02) :213-215
[4]  
Farrall M, 1997, GENET EPIDEMIOL, V14, P103, DOI 10.1002/(SICI)1098-2272(1997)14:2<103::AID-GEPI1>3.3.CO
[5]  
2-8
[6]   A genome-wide search for human non-insulin dependent (type 2) diabetes genes reveals a major susceptibility locus on chromosome 2 [J].
Hanis, CL ;
Boerwinkle, E ;
Chakraborty, R ;
Ellsworth, DL ;
Concannon, P ;
Stirling, B ;
Morrison, VA ;
Wapelhorst, B ;
Spielman, RS ;
GogolinEwens, KJ ;
Shephard, JM ;
Williams, SR ;
Risch, N ;
Hinds, D ;
Iwasaki, N ;
Ogata, M ;
Omori, Y ;
Petzold, C ;
Rietzsch, H ;
Schroder, HE ;
Schulze, J ;
Cox, NJ ;
Menzel, S ;
Boriraj, VV ;
Chen, X ;
Lim, LR ;
Lindner, T ;
Mereu, LE ;
Wang, YQ ;
Xiang, K ;
Yamagata, K ;
Yang, Y ;
Bell, GI .
NATURE GENETICS, 1996, 13 (02) :161-166
[7]   INVESTIGATION OF LINKAGE BETWEEN A QUANTITATIVE TRAIT AND A MARKER LOCUS [J].
HASEMAN, JK ;
ELSTON, RC .
BEHAVIOR GENETICS, 1972, 2 (01) :3-19
[8]   Allele-sharing models: LOD scores and accurate linkage tests [J].
Kong, A ;
Cox, NJ .
AMERICAN JOURNAL OF HUMAN GENETICS, 1997, 61 (05) :1179-1188
[9]  
Kruglyak L, 1996, AM J HUM GENET, V58, P1347
[10]  
LI CC, 1987, AM J HUM GENET, V41, P517