Modeling evolution of relative frequencies of single nucleotide polymorphisms

A. Polanski; M. Kimmel

Modeling evolution of relative frequencies of single nucleotide polymorphisms

Department of Graphics, Computer Vision and Digital Systems (RAU/RAU6)

Rice University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We present new methods for modeling sampling distributions of SNP frequencies in populations with time varying size. Computation based on our methods are more efficient than the Monte Carlo simulations and allow for analysis of large genealogies. We analyze some of available SNP data and we compare our results of demographic parameters estimation to those obtained in previous researches in population genetics. The analyzed data are not inconsistent with the hypothesis of past population growth of modern humans.

Original language	English
Title of host publication	Proceedings of the IASTED International Conference on Biomedical Engineering
Editors	B. Tilg
Pages	43-48
Number of pages	6
Publication status	Published - 2004
Event	Proceedings of the IASTED International Conference on Biomedical Engineering - Innsbruck, Austria Duration: 16 Feb 2004 → 18 Feb 2004

Publication series

Name	Proceedings of the IASTED International Conference on Biomedical Engineering

Conference

Conference	Proceedings of the IASTED International Conference on Biomedical Engineering
Country/Territory	Austria
City	Innsbruck
Period	16/02/04 → 18/02/04

Keywords

Coalescent
Demography
Hypergeometric summation
SNPs

ASJC Scopus subject areas

General Engineering

Cite this

@inproceedings{be89c969ad9c40a1aa705086e2224b08,

title = "Modeling evolution of relative frequencies of single nucleotide polymorphisms",

abstract = "We present new methods for modeling sampling distributions of SNP frequencies in populations with time varying size. Computation based on our methods are more efficient than the Monte Carlo simulations and allow for analysis of large genealogies. We analyze some of available SNP data and we compare our results of demographic parameters estimation to those obtained in previous researches in population genetics. The analyzed data are not inconsistent with the hypothesis of past population growth of modern humans.",

keywords = "Coalescent, Demography, Hypergeometric summation, SNPs",

author = "A. Polanski and M. Kimmel",

year = "2004",

language = "English",

isbn = "0889863792",

series = "Proceedings of the IASTED International Conference on Biomedical Engineering",

pages = "43--48",

editor = "B. Tilg",

booktitle = "Proceedings of the IASTED International Conference on Biomedical Engineering",

note = "Proceedings of the IASTED International Conference on Biomedical Engineering ; Conference date: 16-02-2004 Through 18-02-2004",

}

Polanski, A & Kimmel, M 2004, Modeling evolution of relative frequencies of single nucleotide polymorphisms. in B Tilg (ed.), Proceedings of the IASTED International Conference on Biomedical Engineering., 417-021, Proceedings of the IASTED International Conference on Biomedical Engineering, pp. 43-48, Proceedings of the IASTED International Conference on Biomedical Engineering, Innsbruck, Austria, 16/02/04.

Modeling evolution of relative frequencies of single nucleotide polymorphisms. / Polanski, A.; Kimmel, M.
Proceedings of the IASTED International Conference on Biomedical Engineering. ed. / B. Tilg. 2004. p. 43-48 417-021 (Proceedings of the IASTED International Conference on Biomedical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Modeling evolution of relative frequencies of single nucleotide polymorphisms

AU - Polanski, A.

AU - Kimmel, M.

PY - 2004

Y1 - 2004

N2 - We present new methods for modeling sampling distributions of SNP frequencies in populations with time varying size. Computation based on our methods are more efficient than the Monte Carlo simulations and allow for analysis of large genealogies. We analyze some of available SNP data and we compare our results of demographic parameters estimation to those obtained in previous researches in population genetics. The analyzed data are not inconsistent with the hypothesis of past population growth of modern humans.

AB - We present new methods for modeling sampling distributions of SNP frequencies in populations with time varying size. Computation based on our methods are more efficient than the Monte Carlo simulations and allow for analysis of large genealogies. We analyze some of available SNP data and we compare our results of demographic parameters estimation to those obtained in previous researches in population genetics. The analyzed data are not inconsistent with the hypothesis of past population growth of modern humans.

KW - Coalescent

KW - Demography

KW - Hypergeometric summation

KW - SNPs

UR - https://www.scopus.com/pages/publications/11144299059

M3 - Conference contribution

AN - SCOPUS:11144299059

SN - 0889863792

SN - 9780889863798

T3 - Proceedings of the IASTED International Conference on Biomedical Engineering

SP - 43

EP - 48

BT - Proceedings of the IASTED International Conference on Biomedical Engineering

A2 - Tilg, B.

T2 - Proceedings of the IASTED International Conference on Biomedical Engineering

Y2 - 16 February 2004 through 18 February 2004

ER -

Modeling evolution of relative frequencies of single nucleotide polymorphisms

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this