Heterogeneity of microsatellite mutations within and between loci, and implications for human demographic histories

Anna Di Rienzo, Peter Donnelly, Chris Toomajian, Bronwyn Sisk, Adrian Hill, Maria Luiza Petzl-Erler, G. Ken Haines, David H. Barch

Research output: Contribution to journalArticlepeer-review

138 Scopus citations


Microsatellites have been widely used to reconstruct human evolution. However, the efficient use of these markers relies on information regarding the process producing the observed variation. Here, we present a novel approach to the locus-by-locus characterization of this process. By analyzing somatic mutations in cancer patients, we estimated the distributions of mutation size for each of 20 loci. The same loci were then typed in three ethnically diverse population samples. The generalized stepwise mutation model was used to test the predicted relationship between population and mutation parameters under two demographic scenarios: constant population size and rapid expansion. The agreement between the observed and expected relationship between population and mutation parameters, even when the latter are estimated in cancer patients, confirms that somatic mutations may be useful for investigating the process underlying population variation. Estimated distributions of mutation size differ substantially amongst loci, and mutations of more than one repeat unit are common. A new statistic, the normalized population variance, is introduced for multilocus estimation of demographic parameters, and for testing demographic scenarios. The observed population variation is not consistent with a constant population size. Time estimates of the putative population expansion are in agreement with those obtained by other methods.

Original languageEnglish
Pages (from-to)1269-1284
Number of pages16
Issue number3
StatePublished - Mar 1998
Externally publishedYes


Dive into the research topics of 'Heterogeneity of microsatellite mutations within and between loci, and implications for human demographic histories'. Together they form a unique fingerprint.

Cite this