Evidence map›Paper›PMID 40335952›Full record

ArticleBMC bioinformatics2025

py_ped_sim: a flexible forward pedigree and genetic simulator for complex family pedigree analysis.

Miguel Guardado, Cynthia Perez, Sthen Campana, Berenice Chavez Rojas, Joaquín Magaña, Shalom Jackson, Emily Samperio, Selena Hernandez, Kaela Syas, Ryan D Hernandez and 2 more

Abstract read
In one paragraph

Article in BMC bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Miguel GuardadoDepartment of Mathematics, San Francisco State University, San Francisco, CA, 94132, USA. Miguel.Guardado@ucsf.edu.
Cynthia PerezDepartment of Biology, San Francisco State University, San Francisco, CA, 94132, USA.
Sthen CampanaDepartment of Data Science, University of Oregon, Eugene, OR, 97403, USA.
Berenice Chavez RojasDepartment of Biology, San Francisco State University, San Francisco, CA, 94132, USA.
Joaquín MagañaDepartment of Biology, San Francisco State University, San Francisco, CA, 94132, USA.
Shalom JacksonDepartment of Biology, San Francisco State University, San Francisco, CA, 94132, USA.
Emily SamperioDepartment of Biology, San Francisco State University, San Francisco, CA, 94132, USA.
Selena HernandezDepartment of Biology, San Francisco State University, San Francisco, CA, 94132, USA.
Kaela SyasDepartment of Mathematics, San Francisco State University, San Francisco, CA, 94132, USA.
Ryan D HernandezBioengineering and Therapeutic Sciences, University of California, San Francisco, CA, 94134, USA.
Elena I ZavalaDepartment of Biology, San Francisco State University, San Francisco, CA, 94132, USA.
Rori V RohlfsDepartment of Data Science, University of Oregon, Eugene, OR, 97403, USA. rori@uoregon.edu.

Funding

SFSU MBRS - RISER25GM059298 · NIGMS · SAN FRANCISCO STATE UNIVERSITY · PI BAIRD, TEASTER T, BAYLISS, FRANK T · 1999 to 2021
$21.0M
UPGRADE OF COMMUNICATIONS INFRASTRUCTURET34GM008574 · NIGMS · SAN FRANCISCO STATE UNIVERSITY · PI BAYLISS, FRANK T, ESQUERRA, RAYMOND M. · 1996 to 2021
$14.5M
U-RISE at San Francisco State UniversityT34GM145400 · NIGMS · SAN FRANCISCO STATE UNIVERSITY · PI Raymond M. Esquerra, MEGUMI M. FUSE · 2022 to 2026
$4.6M
Genentech Foundation Scholars #G-7874540National Institute of Health (NIH) MARC T34-GM008574National Institute of Health (NIH) MBRS-RISE R25-GM059298National Institute of Health (NIH) U-RISE T34-GM145400National Institute of Justice 15PNIJ-23-AG-04262-DNAXNational Institute of Justice 2019-DU-BX-0028National Science Foundation LSAMP HRD-1826490NIGMS NIH HHS R25 GM059298NIGMS NIH HHS T34 GM008574NIGMS NIH HHS T34 GM145400
6 · The paper itself

Abstract

backgroundLarge-scale family pedigrees are commonly used across medical, evolutionary, and forensic genetics. These pedigrees are tools for identifying genetic disorders, tracking evolutionary patterns, and establishing familial relationships via forensic genetic identification. However, there is a lack of software to accurately simulate different pedigree structures along with genomes corresponding to those individuals in a family pedigree. This limits simulation-based evaluations of methods that use pedigrees.

resultsWe have developed a python command-line-based tool called py_ped_sim that facilitates the simulation of pedigree structures and the genomes of individuals in a pedigree. py_ped_sim represents pedigrees as directed acyclic graphs, enabling conversion between standard pedigree formats and integration with the forward population genetic simulator, SLiM. Notably, py_ped_sim allows the simulation of varying numbers of offspring for a set of parents, with the capacity to shift the distribution of sibship sizes over generations. We additionally add simulations for events of misattributed paternity, which offers a way to simulate half-sibling relationships, and simulations to extend the breadth of a family pedigree. We validated the accuracy of both our genome simulator and pedigree simulator. We show that we can simulate genomes onto family pedigrees with levels of expected kinship.

conclusionspy_ped_sim is a user-friendly and open-source solution for simulating pedigree structures and conducting pedigree genome simulations. It empowers medical, forensic, and evolutionary genetics researchers to gain deeper insights into the dynamics of genetic inheritance and relatedness within families.

Indexed as

PedigreeSoftwareComputer SimulationHumansModels, GeneticFamilyForward-time simulationsGenerationGeneticsInheritanceKinshipPedigreePython

Identifiers

PMID40335952
PMCPMC12060417

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.