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Libri sul tema "Linkage disequilibrium"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 25 luglio 2025

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1

Andrew, Collins R. Linkage Disequilibrium and Association Mapping. Humana Press, 2007. http://dx.doi.org/10.1385/1597453897.

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2

Collins, Andrew R., ed. Linkage Disequilibrium and Association Mapping. Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-389-9.

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3

A, Collins, ed. Linkage disequilibrium and association mapping: Analysis and applications. Humana Press, 2007.

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4

Collins, Andrew R. Linkage Disequilibrium and Association Mapping. Gardners Books, 2010.

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5

Linkage disequilibrium and association mapping: Analysis and applications. Humana Press, 2008.

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6

Xie, Fang. Simultaneous detection of linkage and linkage disequilibrium for families with an affected sib-pair. 2003.

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7

Collins, Andrew R. Linkage Disequilibrium and Association Mapping: Analysis and Applications (Methods in Molecular Biology). Humana Press, 2007.

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8

Walsh, Bruce, and Michael Lynch. Short-term Changes in the Variance: 1. Changes in the Additive Variance. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0016.

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Abstract (sommario):
Selection changes the additive-genetic variance (and hence the response in the mean) by both changing allele frequencies and by generating correlations among alleles at different loci (linkage disequilibrium). Such selection-induced correlations can be generated even between unlinked loci, and (generally) are negative, such that alleles increasing trait values tend to become increasingly negative correlated under direction or stabilizing selection, and positively correlated under disruptive selection. Such changes in the additive-genetic variance from disequilibrium is called the Bulmer effect
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9

Walsh, Bruce, and Michael Lynch. Selection Under Inbreeding. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0023.

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Abstract (sommario):
When dominance is presence, the selection response equations under inbreeding can become rather complex, they require additional variance components beyond the additive-genetic variance. Further, both transient and permanent components of response can arise. This chapter examines the theory of both the covariance of relatives under general inbreeding, as well as the expected selection response under inbreeding. Due to the decrease in the effective recombination rate under selfing, the Bulmer effect can be rather dramatic, as any linkage disequilibrium generated by selection is only weakly remo
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10

Walsh, Bruce, and Michael Lynch. Analysis of Short-term Selection Experiments: 2. Mixed-model and Bayesian Approaches. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0019.

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Abstract (sommario):
When the full pedigree of individuals whose values (records) were used in the selection decisions during an experiment (or breeding program) is known, LS analysis can be replaced by mixed models and their Bayesian extensions. In this setting, REML can be used to estimate genetic variances and BLUP can be used to estimate the mean breeding value in any given generation. The latter allows for genetic trends to be separated from environmental trends without the need for a control population. Under the infinitesimal model setting (wherein selection-induced allele-frequency changes are small during
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11

Walsh, Bruce, and Michael Lynch. The Infinitesimal Model and Its Extensions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0024.

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Abstract (sommario):
One standard approximation in quantitative genetics is the infinitesimal model, which assumes a large number of loci, each of small effect. In such a setting, the distribution of breeding values in unselected descendants is roughly multivariate normal and most of the (short-term) change in the additive variance under selection is through Bulmer effects (the generation of linkage disequilibrium) rather than by allele-frequency change. A variety of different infinitesimal models are found in the literature, and this chapter examines these different versions and the connections between them. It a
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12

Kan, Carol, and Ma-Li Wong. Genetics. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198789284.003.0004.

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Abstract (sommario):
An association between type 2 diabetes mellitus (T2DM) and depression has been reported in epidemiological studies. Finding a genetic overlap between T2DM and depression will provide evidence to support a common biological pathway to both disorders. Genetic correlations observed from twin studies indicate that a small magnitude of the variance in liability can be attributed to genetic factors. However, no genetic overlap has been observed between T2DM and depression in genome-wide association studies using both the polygenic score and the linkage disequilibrium score regression approaches. Cla
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13

Walsh, Bruce, and Michael Lynch. Using Molecular Data to Detect Selection: Signatures from Recent Single Events. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0009.

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Abstract (sommario):
Different types and phases of a selective sweep (hard, soft, partial, polygenic) generate different patterns of departures from neutrality, and hence require different tests. It is thus not surprising that a large number of tests have been proposed that use sequence information to detect ongoing, or very-recently completed, episodes of selection. This chapter critically reviews over 50 such tests, which use information on allele-frequency change, linkage disequilibrium patterns, spatial allele-frequency patterns, site-frequency spectrum data, allele-frequency spectrum data, and haplotype struc
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14

Purcell, Shaun M. Genetic Methodologies and Applications. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0001.

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Abstract (sommario):
Mental illness is highly heritable, yet it has been difficult historically to identify the specific genes that comprise that risk. This difficulty resides in the fact that the genetic risk for all common mental disorders is polygenic, with perhaps hundreds of genetic variations, each of small effect, contributing to the overall risk. Despite these challenges, the field has made dramatic advances over the past decade in beginning to understand the genetic basis of mental illness. This chapter provides an overview of the experimental approaches used, beginning with epidemiology and population ge
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15

Walsh, Bruce, and Michael Lynch. The Population Genetics of Selection. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0005.

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Abstract (sommario):
This chapter examines models of one- and two-locus selection in the absence of drift and mutation. Expressions for the per-generation rate of allele-frequency change and the expected time for a specified amount of change are developed for single-locus models, and their equilibrium structure is examined for those settings where selection retains more than one allele. The presence of selection-generated linkage disequilibrium greatly complicates the extension of single-locus results to two loci, and the chapter examines some of the resulting complications. Finally, it examines the nature of sele
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