Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Forward-time simulations of human populations with complex diseases.

PLoS genetics - 23 Mar 2007

Peng Bo, Amos Christopher I, Kimmel Marek

Abstract excerpt

Due to the increasing power of personal computers, as well as the availability of flexible forward-time simulation programs like simuPOP, it is now possible to simulate the evolution of complex human diseases using a forward-time approach. This approach is potentially more powerful than the coalescent approach since it allows simulations of more than one disease susceptibility locus using almost arbitrary genetic...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Chromosomes, Human
Share to Demography
Share to Diabetes Mellitus

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Disease

Share to Emigration and Immigration

Share to Genetic Drift

Share to Poisson Distribution

Source

Open in PubMed Open full text

Identifiers

PMID: 17381243
DOI: 10.1371/journal.pgen.0030047
PMCID: PMC1829403

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Forward-time simulations of human populations with complex diseases.PMID 17381243Read ↗

Forward-time simulation of realistic samples for genome-wide association studies.Semantic proximity Read ↗

Population genetic simulations of complex phenotypes with implications for rare variant association tests.Semantic proximity Read ↗

An overview of population genetic data simulation.Semantic proximity Read ↗

GeneEvolve: a fast and memory efficient forward-time simulator of realistic whole-genome sequence and SNP data.Semantic proximity Read ↗

Simulating sequences of the human genome with rare variants.Semantic proximity Read ↗

A multi-scenario genome-wide medical population genetics simulation framework.Semantic proximity Read ↗

Simulations provide support for the common disease-common variant hypothesis.Semantic proximity Read ↗

Reproducible simulations of realistic samples for next-generation sequencing studies using Variant Simulation Tools.Semantic proximity Read ↗

Sequence-level population simulations over large genomic regions.Semantic proximity Read ↗

SeqSIMLA: a sequence and phenotype simulation tool for complex disease studies.Semantic proximity Read ↗

ARGON: Fast, Whole-Genome Simulation of the Discrete Time Wright-Fisher ProcessSemantic proximity Read ↗

Genome simulation approaches for synthesizing in silico datasets for human genomics.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.