Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

IDDM10 on chromosome 10p11-q11 has been identified as a putative diabetes susceptibility locus through affected sib-pair (ASP) linkage analysis in UK nuclear families [Davies et al., 1994: Nature 371:130-136; Reed et al., 1997: Hum Mol Genet 6:1011-1016; Mein et al., 1998: Nat Genet 19:297-300]. We extended analysis of linkage to type 1 diabetes in this region by typing a total of 61 markers in a maximum of 418 UK sib-pairs (UK418; peak MLS = 3.84). We then stratified the dataset based on analyses performed previously by both our group [Mein et al., 1998: Nat Genet 19:297-300] and others [Paterson et al., 1999: Hum Hered 49:197-204; Paterson and Petronis, 1999a: Am J Med Genet 84:15-19; Paterson and Petronis, 2000a: J Med Genet 37:186-191; Paterson and Petronis, b: Eur J Hum Genet 8:145-148] and used a permutation procedure to assess the significance of the results. We conclude that the results obtained had a high probability of occurring by chance alone. These data highlight the limitations of stratifying small datasets (n < 500) by additional criteria and the recurrent problems of multiple testing in genetic analysis.

Original publication

DOI

10.1002/ajmg.10737

Type

Journal article

Journal

Am J Med Genet

Publication Date

22/11/2002

Volume

113

Pages

158 - 166

Keywords

Age Factors, Chromosomes, Human, Pair 10, Diabetes Mellitus, Type 1, Family Health, Female, Genetic Heterogeneity, Genetic Linkage, Genetic Predisposition to Disease, Genotype, HLA-DR Antigens, Humans, Male, Matched-Pair Analysis, Microsatellite Repeats, Nuclear Family, Sex Factors, Siblings