TY  - JOUR
A1  - Schaffner, Stephen F.
A1  - Foo, Catherine
A1  - Gabriel, Stacey
A1  - Reich, David
A1  - Daly, Mark J.
A1  - Altshuler, David
T1  - Calibrating a coalescent simulation of human genome sequence variation
Y1  - 2005/11/01 
JF  - Genome Research 
JO  - Genome Research 
SP  - 1576 
EP  - 1583 
DO  - 10.1101/gr.3709305 
VL  - 15 
IS  - 11 
UR  - http://genome.cshlp.org/content/15/11/1576.abstract 
N2  - Population genetic models play an important role in human genetic research, connecting empirical observations about sequence variation with hypotheses about underlying historical and biological causes. More specifically, models are used to compare empirical measures of sequence variation, linkage disequilibrium (LD), and selection to expectations under a “null” distribution. In the absence of detailed information about human demographic history, and about variation in mutation and recombination rates, simulations have of necessity used arbitrary models, usually simple ones. With the advent of large empirical data sets, it is now possible to calibrate population genetic models with genome-wide data, permitting for the first time the generation of data that are consistent with empirical data across a wide range of characteristics. We present here the first such calibrated model and show that, while still arbitrary, it successfully generates simulated data (for three populations) that closely resemble empirical data in allele frequency, linkage disequilibrium, and population differentiation. No assertion is made about the accuracy of the proposed historical and recombination model, but its ability to generate realistic data meets a long-standing need among geneticists. We anticipate that this model, for which software is publicly available, and others like it will have numerous applications in empirical studies of human genetics. 
ER  -