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Combined segregation and linkage analysis of Graves-disease with a thyroid autoantibody diathesis

Combined segregation and linkage analysis of Graves-disease with a thyroid autoantibody diathesis
Combined segregation and linkage analysis of Graves-disease with a thyroid autoantibody diathesis
Combined segregation and linkage analysis is a powerful technique for modeling linkage to diseases whose etiology is more complex than the effect of a well-described single genetic locus and for investigating the influence of single genes on various aspects of the disease phenotype. Graves disease is familial and is associated with human leukocyte antigen (HLA) allele DR3. Probands with Graves disease, as well as close relatives, have raised levels of thyroid autoantibodies. This phenotypic information additional to affection status may be considered by the computer program COMDS for combined segregation and linkage analysis, when normals are classified into diathesis classes of increasing thyroid autoantibody titer. The ordinal model considers the cumulative odds of lying in successive classes, and a single additional parameter is introduced for each gene modeled. Distributional assumptions are avoided by providing estimates of the population frequencies of each class. Evidence for linkage was increased by considering the thyroid autoantibody diathesis and by testing two-locus models. The analysis revealed evidence for linkage to HLA-DR when the strong coupling of the linked locus to allele DR3 was considered (led score of 6.6). Linkage analysis of the residual variation revealed no evidence of linkage to Gm, but a suggestion of linkage to Km.
0002-9297
540-554
Shields, DC
57ffee4f-0277-4b3d-9c7a-8c328637d8e6
Ratanachaiyavong, S
c4c08ab4-0cdd-42cb-9b6f-eba982e34fa1
MCGREGOR, AM
ee00faea-d607-46d3-b45b-4e99c4d81000
COLLINS, A
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
Morton, NE
c668e2be-074a-4a0a-a2ca-e8f51830ebb7
Shields, DC
57ffee4f-0277-4b3d-9c7a-8c328637d8e6
Ratanachaiyavong, S
c4c08ab4-0cdd-42cb-9b6f-eba982e34fa1
MCGREGOR, AM
ee00faea-d607-46d3-b45b-4e99c4d81000
COLLINS, A
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
Morton, NE
c668e2be-074a-4a0a-a2ca-e8f51830ebb7

Shields, DC, Ratanachaiyavong, S, MCGREGOR, AM, COLLINS, A and Morton, NE (1994) Combined segregation and linkage analysis of Graves-disease with a thyroid autoantibody diathesis. American Journal of Human Genetics, 55 (3), 540-554.

Record type: Article

Abstract

Combined segregation and linkage analysis is a powerful technique for modeling linkage to diseases whose etiology is more complex than the effect of a well-described single genetic locus and for investigating the influence of single genes on various aspects of the disease phenotype. Graves disease is familial and is associated with human leukocyte antigen (HLA) allele DR3. Probands with Graves disease, as well as close relatives, have raised levels of thyroid autoantibodies. This phenotypic information additional to affection status may be considered by the computer program COMDS for combined segregation and linkage analysis, when normals are classified into diathesis classes of increasing thyroid autoantibody titer. The ordinal model considers the cumulative odds of lying in successive classes, and a single additional parameter is introduced for each gene modeled. Distributional assumptions are avoided by providing estimates of the population frequencies of each class. Evidence for linkage was increased by considering the thyroid autoantibody diathesis and by testing two-locus models. The analysis revealed evidence for linkage to HLA-DR when the strong coupling of the linked locus to allele DR3 was considered (led score of 6.6). Linkage analysis of the residual variation revealed no evidence of linkage to Gm, but a suggestion of linkage to Km.

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More information

Published date: 1 January 1994

Identifiers

Local EPrints ID: 469636
URI: http://eprints.soton.ac.uk/id/eprint/469636
ISSN: 0002-9297
PURE UUID: 011f863f-0ef3-4909-afda-ebf4460fd404
ORCID for A COLLINS: ORCID iD orcid.org/0000-0001-7108-0771

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Date deposited: 21 Sep 2022 16:55
Last modified: 24 Sep 2022 01:33

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Contributors

Author: DC Shields
Author: S Ratanachaiyavong
Author: AM MCGREGOR
Author: A COLLINS ORCID iD
Author: NE Morton

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