Signatures of population expansion in microsatellite repeat data.
Signatures of population expansion in microsatellite repeat data.
复制标题
微卫星重复数据中种群扩张的特征。
DOI:
10.1093/genetics/148.4.1921
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发表时间:
1998
期刊:
影响因子:
3.3
通讯作者:
Jorde,LB
中科院分区:
文献类型:
--
作者:
Kimmel,M;Chakraborty,R;King,JP;Bamshad,M;Watkins,WS;Jorde,LB
To examine the signature of population expansion on genetic variability at microsatellite loci, we consider a population that evolves according to the time-continuous Moran model, with growing population size and mutations that follow a general asymmetric stepwise mutation model. We present calculations of expected allele-size variance and homozygosity at a locus in such a model for several variants of growth, including stepwise, exponential, and logistic growth. These calculations in particular prove that population bottleneck followed by growth in size causes an imbalance between allele size variance and heterozygosity, characterized by the variance being transiently higher than expected under equilibrium conditions. This effect is, in a sense, analogous to that demonstrated before for the infinite allele model, where the number of alleles transiently increases after a stepwise growth of population. We analyze a set of data on tetranucleotide repeats that reveals the imbalance expected under the assumption of bottleneck followed by population growth in two out of three major racial groups. The imbalance is strongest in Asians, intermediate in Europeans, and absent in Africans. This finding is consistent with previous findings by others concerning the population expansion of modern humans, with the bottleneck event being most ancient in Africans, most recent in Asians, and intermediate in Europeans. Nevertheless, the imbalance index alone cannot reliably estimate the time of initiation of population expansion.
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DOI:
10.1017/s0016672300016803
发表时间:
1976
期刊:
Genetical research
影响因子:
--
作者:
W.
通讯作者:
W.
影响因子:
3.3
作者:
Kimmel,M;Chakraborty,R;Stivers,DN;Deka,R
通讯作者:
Deka,R
影响因子:
3.5
作者:
WEBER, JL;WONG, C
通讯作者:
WONG, C
影响因子:
3.3
作者:
David Goldstein;M. Feldman;L. Cavalli-Sforza
通讯作者:
David Goldstein;M. Feldman;L. Cavalli-Sforza
影响因子:
3.3
作者:
M. Shriver;L. Jin;Ranajit Chakraborty;E. Boerwinkle
通讯作者:
M. Shriver;L. Jin;Ranajit Chakraborty;E. Boerwinkle