Search: onr:"swepub:oai:DiVA.org:umu-60171" >
A variable age of o...
A variable age of onset segregation model for linkage analysis, with correction for ascertainment, applied to glioma
- Article/chapterEnglish2012
Publisher, publication year, extent ...
Numbers
-
LIBRIS-ID:oai:DiVA.org:umu-60171
-
https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-60171URI
-
https://doi.org/10.1158/1055-9965.EPI-12-0703DOI
Supplementary language notes
-
Language:English
-
Summary in:English
Part of subdatabase
Classification
-
Subject category:ref swepub-contenttype
-
Subject category:art swepub-publicationtype
Notes
-
Background: We propose a two-step model-based approach, with correction for ascertainment, to linkage analysis of a binary trait with variable age of onset and apply it to a set of multiplex pedigrees segregating for adult glioma.Methods: First, we fit segregation models by formulating the likelihood for a person to have a bivariate phenotype, affection status and age of onset, along with other covariates, and from these we estimate population trait allele frequencies and penetrance parameters as a function of age (N=281 multiplex glioma pedigrees). Second, the best fitting models are used as trait models in multipoint linkage analysis (N=74 informative multiplex glioma pedigrees). To correct for ascertainment, a prevalence constraint is used in the likelihood of the segregation models for all 281 pedigrees. Then the trait allele frequencies are re-estimated for the pedigree founders of the subset of 74 pedigrees chosen for linkage analysis.Results: Using the best fitting segregation models in model-based multipoint linkage analysis, we identified two separate peaks on chromosome 17; the first agreed with a region identified by Shete et al. (1) who used model-free affected-only linkage analysis, but with a narrowed peak: and the second agreed with a second region they found but had a larger maximum LOD.Conclusions/Impact: Our approach has the advantage of not requiring markers to be in linkage equilibrium unless the minor allele frequency is small (markers which tend to be uninformative for linkage), and of using more of the available information for LOD-based linkage analysis.
Subject headings and genre
Added entries (persons, corporate bodies, meetings, titles ...)
-
Vengoechea, Jaime
(author)
-
Elston, Robert
(author)
-
Chen, Yanwen
(author)
-
Amos, Christopher I
(author)
-
Armstrong, Georgina
(author)
-
Bernstein, Jonine L
(author)
-
Claus, Elizabeth B
(author)
-
Davis, Faith
(author)
-
Houlston, Richard S
(author)
-
Il'yasova, Dora
(author)
-
Jenkins, Robert B
(author)
-
Johansen, Christoffer
(author)
-
Lai, Rose
(author)
-
Lau, Ching
(author)
-
Liu, Yanhong
(author)
-
McCarthy, Bridget J
(author)
-
Olson, Sara H
(author)
-
Sadetzki, Siegal
(author)
-
Schildkraut, Joellen M
(author)
-
Shete, Sanjay S
(author)
-
Yu, Robert
(author)
-
Vick, Nicholas A
(author)
-
Merrell, Ryan
(author)
-
Wrensch, Margaret R
(author)
-
Yang, Ping
(author)
-
Melin, BeatriceUmeå universitet,Onkologi(Swepub:umu)bema0010
(author)
-
Bondy, Melissa L
(author)
-
Barnholtz-Sloan, Jill S
(author)
-
Umeå universitetOnkologi
(creator_code:org_t)
Related titles
-
In:Cancer Epidemiology, Biomarkers and Prevention21:12, s. 2242-22511055-99651538-7755
Internet link
Find in a library
To the university's database
- By the author/editor
-
Sun, Xiangqing
-
Vengoechea, Jaim ...
-
Elston, Robert
-
Chen, Yanwen
-
Amos, Christophe ...
-
Armstrong, Georg ...
-
show more...
-
Bernstein, Jonin ...
-
Claus, Elizabeth ...
-
Davis, Faith
-
Houlston, Richar ...
-
Il'yasova, Dora
-
Jenkins, Robert ...
-
Johansen, Christ ...
-
Lai, Rose
-
Lau, Ching
-
Liu, Yanhong
-
McCarthy, Bridge ...
-
Olson, Sara H
-
Sadetzki, Siegal
-
Schildkraut, Joe ...
-
Shete, Sanjay S
-
Yu, Robert
-
Vick, Nicholas A
-
Merrell, Ryan
-
Wrensch, Margare ...
-
Yang, Ping
-
Melin, Beatrice
-
Bondy, Melissa L
-
Barnholtz-Sloan, ...
-
show less...
- About the subject
-
- MEDICAL AND HEALTH SCIENCES
-
MEDICAL AND HEAL ...
-
and Clinical Medicin ...
-
and Cancer and Oncol ...
- Articles in the publication
-
Cancer Epidemiol ...
- By the university
-
Umeå University