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On the Choice of Genetic Distance in Spatial-Genetic Studies.

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On the Choice of Genetic Distance in Spatial-Genetic Studies. / Fearnhead, P.
In: Genetics, Vol. 177, 09.2007, p. 427-434.

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@article{bae2350c8c3a4a6198c77744a3fba5ec,
title = "On the Choice of Genetic Distance in Spatial-Genetic Studies.",
abstract = "We look at how to choose genetic distance so as to maximise the power of detecting spatial structure. We answer this question through analysin g two population genetic models that allow for a spatially structured population in a continuous habitat. These models, like most that incorporate spatial s tructure, can be characterised by a separation of time scales: the history of the sample can be split into a scattering and collecting phase, and it is only during the scattering phase that the spatial locations of the sample affects the coalescence times. Our results suggest that the optimal choice of genetic distance is based upon splitting a DNA sequence into segments, and counting the number of segments at which two sequences differ. The size of these segments depends on the length of the scattering phase for the population genetic model.",
keywords = "Isolation by Distance, MLST data, Spatial Autocorrelation",
author = "P Fearnhead",
year = "2007",
month = sep,
language = "English",
volume = "177",
pages = "427--434",
journal = "Genetics",
issn = "1943-2631",
publisher = "Genetics Society of America",

}

RIS

TY - JOUR

T1 - On the Choice of Genetic Distance in Spatial-Genetic Studies.

AU - Fearnhead, P

PY - 2007/9

Y1 - 2007/9

N2 - We look at how to choose genetic distance so as to maximise the power of detecting spatial structure. We answer this question through analysin g two population genetic models that allow for a spatially structured population in a continuous habitat. These models, like most that incorporate spatial s tructure, can be characterised by a separation of time scales: the history of the sample can be split into a scattering and collecting phase, and it is only during the scattering phase that the spatial locations of the sample affects the coalescence times. Our results suggest that the optimal choice of genetic distance is based upon splitting a DNA sequence into segments, and counting the number of segments at which two sequences differ. The size of these segments depends on the length of the scattering phase for the population genetic model.

AB - We look at how to choose genetic distance so as to maximise the power of detecting spatial structure. We answer this question through analysin g two population genetic models that allow for a spatially structured population in a continuous habitat. These models, like most that incorporate spatial s tructure, can be characterised by a separation of time scales: the history of the sample can be split into a scattering and collecting phase, and it is only during the scattering phase that the spatial locations of the sample affects the coalescence times. Our results suggest that the optimal choice of genetic distance is based upon splitting a DNA sequence into segments, and counting the number of segments at which two sequences differ. The size of these segments depends on the length of the scattering phase for the population genetic model.

KW - Isolation by Distance

KW - MLST data

KW - Spatial Autocorrelation

M3 - Journal article

VL - 177

SP - 427

EP - 434

JO - Genetics

JF - Genetics

SN - 1943-2631

ER -