The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Genetic linkage studies
Abstract
Linkage analysis is used to map genetic loci by use of observations of related individuals. We provide an introduction to methods commonly used to map loci that predispose to disease. Linkage analysis methods can be applied to both major gene disorders (parametric linkage) and complex diseases (model-free or non-parametric linkage). Evidence for linkage is most commonly expressed as a logarithm of the odds score. We provide a framework for interpretation of these scores and discuss the role of simulation in assessment of statistical significance and estimation of power. Genetic and phenotypic heterogeneity can also affect the success of a study, and several methods exist to address such problems.
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Cites
Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results
Lander, E., & Kruglyak, L. (1995) · Nature Genetics · doi:10.1038/ng1195-241 · Cited by 5,239
Estimates of the cancer incidence and mortality in Europe in 2006
Ferlay, J., Autier, P., Boniol, M., Heanue, M., Colombet, M., & Boyle, P. (2007) · Annals of Oncology · doi:10.1093/annonc/mdl498 · Cited by 4,036
Identification of the breast cancer susceptibility gene BRCA2
Wooster, R., Bignell, G., Lancaster, J., Swift, S., Seal, S., Mangion, J., Collins, N., Gregory, S., Gumbs, C., Micklem, G., et al. (1995) · Nature · doi:10.1038/378789a0 · Cited by 3,645
Merlin—rapid analysis of dense genetic maps using sparse gene flow trees
Abecasis, G. R., Cherny, S. S., Cookson, W. O., & Cardon, L. R. (2002) · Nature Genetics · doi:10.1038/ng786 · Cited by 3,354
The History and Geography of Human Genes: Abridged paperback Edition
Cavalli-Sforza, L. L., Menozzi, P., & Piazza, A. (2018) · Princeton University Press eBooks · doi:10.2307/j.ctv301gjp · Cited by 3,175
Multipoint Quantitative-Trait Linkage Analysis in General Pedigrees
Almasy, L., & Blangero, J. (1998) · The American Journal of Human Genetics · doi:10.1086/301844 · Cited by 3,028
Parametric and nonparametric linkage analysis: a unified multipoint approach.
Kruglyak, L., Daly, M. J., Daly, M. J., & Lander, E. S. (1996) · PubMed · Cited by 2,877
Linkage of Early-Onset Familial Breast Cancer to Chromosome 17q21
Hall, J. M., Lee, M. K., Newman, B., Morrow, J. E., Anderson, L. A., Huey, B., & King, M.-C. (1990) · Science · doi:10.1126/science.2270482 · Cited by 2,550
Searching for genetic determinants in the new millennium
Risch, N. J. (2000) · Nature · doi:10.1038/35015718 · Cited by 1,839
Sequential tests for the detection of linkage.
Morton, N. E. (1955) · Europe PMC (PubMed Central) · Cited by 1,585
Cited by
A Groupwise Association Test for Rare Mutations Using a Weighted Sum Statistic
Madsen, B. E., & Browning, S. R. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000384 · Cited by 1,113
Genomewide Association Studies: History, Rationale, and Prospects for Psychiatric Disorders
Psychiatric GWAS Consortium Coordinating Committee (2009) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.08091354 · Cited by 450
Loy, C. T., Schofield, P. R., Turner, A. M., & Kwok, J. B. (2014) · The Lancet · doi:10.1016/s0140-6736(13)60630-3 · Cited by 342
Tedja, M. S., Haarman, A. E. G., Meester-Smoor, M. A., Kaprio, J., Mackey, D. A., Guggenheim, J. A., Hammond, C. J., Verhoeven, V. J. M., Klaver, C. C. W., & for the CREAM Consortium (2019) · Investigative Opthalmology & Visual Science · doi:10.1167/iovs.18-25965 · Cited by 304
The genetic architecture of Alzheimer's disease: beyond APP, PSENs and APOE
Guerreiro, R. J., Gustafson, D. R., & Hardy, J. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.03.025 · Cited by 285
Metadata
- Authors
- Dawn Teare, M., & Barrett, J. H.
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2005-09
- Volume
- 366
- Issue
- 9490
- Pages
- 1036-1044
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- OpenAlex
- W2013376909
- Cited by
- 271
- References
- 48
- FWCI
- 9.08
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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