Genome screens using linkage disequilibrium tests: Optimal marker characteristics and feasibility

被引:77
作者
Chapman, NH [1 ]
Wijsman, EM
机构
[1] Univ Washington, Dept Biostat, Seattle, WA 98195 USA
[2] Univ Washington, Div Med Genet, Seattle, WA 98195 USA
关键词
D O I
10.1086/302139
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Linkage disequilibrium (LD) testing has become a popular and effective method of fine-scale disease-gene localization. It has been proposed that LD testing could also be used for genome screening, particularly as dense maps of diallelic markers become available and automation allows inexpensive genotyping of diallelic markers. We compare diallelic markers and multiallelic markers in terms of sample sizes required for detection of LD, by use of a single marker locus in a case-control study, for rare monophyletic diseases with Mendelian inheritance. We extrapolate from our results to discuss the feasibility of single-marker LD screening in more-complex situations. We have used a deterministic population genetic model to calculate the expected power to detect LD as a function of marker density, age of mutation, number of marker alleles, mode-of inheritance of a rare disease, and sample size. Our calculations show that multiallelic markers always have more power to detect LD than do diallelic markers (under otherwise equivalent conditions) and that the ratio of the number of diallelic to the number of multiallelic markers needed for equivalent power increases with mutation age and complexity of mode of inheritance. Power equivalent to that achieved by a multiallelic screen can theoretically be achieved by use of a more dense diallelic screen, but mapping panels of the necessary resolution are not currently available and may be difficult to achieve. Genome screening that uses single-marker LD testing may therefore be feasible only for young (<20 generations), rare, monophyletic Mendelian diseases, such as may be found in rapidly growing genetic isolates.
引用
收藏
页码:1872 / 1885
页数:14
相关论文
共 46 条
  • [1] ARNHEIM N, 1991, ANIM GENET, V22, P105, DOI 10.1111/j.1365-2052.1991.tb00652.x
  • [2] DISTANCE BETWEEN POPULATIONS ON BASIS OF ATTRIBUTE DATA
    BALAKRISHNAN, V
    SANGHVI, LD
    [J]. BIOMETRICS, 1968, 24 (04) : 859 - +
  • [3] FAMILIAL ALZHEIMERS-DISEASE IN AMERICAN DESCENDANTS OF THE VOLGA GERMANS - PROBABLE GENETIC FOUNDER EFFECT
    BIRD, TD
    LAMPE, TH
    NEMENS, EJ
    MINER, GW
    SUMI, SM
    SCHELLENBERG, GD
    [J]. ANNALS OF NEUROLOGY, 1988, 23 (01) : 25 - 31
  • [4] BOEHNKE M, 1994, AM J HUM GENET, V55, P379
  • [5] BRISCOE D, 1994, J HERED, V85, P59
  • [6] Genomics and human disease - variations on variation
    Brown, PO
    Hartwell, L
    [J]. NATURE GENETICS, 1998, 18 (02) : 91 - 93
  • [7] BRZUSTOWICZ LM, 1993, AM J HUM GENET, V53, P982
  • [8] Casaubon LK, 1996, AM J HUM GENET, V58, P28
  • [9] Accessing genetic information with high-density DNA arrays
    Chee, M
    Yang, R
    Hubbell, E
    Berno, A
    Huang, XC
    Stern, D
    Winkler, J
    Lockhart, DJ
    Morris, MS
    Fodor, SPA
    [J]. SCIENCE, 1996, 274 (5287) : 610 - 614
  • [10] Disequilibrium mapping: Composite likelihood for pairwise disequilibrium
    Devlin, B
    Risch, N
    Roeder, K
    [J]. GENOMICS, 1996, 36 (01) : 1 - 16