Evidence map›Paper›PMID 38585824›Full record

ArticlebioRxiv : the preprint server for biology2024

py_ped_sim - A flexible forward genetic simulator for complex family pedigree analysis.

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

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Miguel GuardadoSan Francisco State University, Department of Mathematics, San Francisco CA, 94132, USA.ORCID 0000-0002-1748-3956
Cynthia PerezSan Francisco State University, Department of Biology, San Francisco CA, 94132, USA.
Shalom JacksonSan Francisco State University, Department of Biology, San Francisco CA, 94132, USA.
Joaquín MagañaSan Francisco State University, Department of Biology, San Francisco CA, 94132, USA.
Sthen CampanaSan Francisco State University, Department of Biology, San Francisco CA, 94132, USA.
Emily SamperioSan Francisco State University, Department of Biology, San Francisco CA, 94132, USA.
Berenice Chavez RojasSan Francisco State University, Department of Biology, San Francisco CA, 94132, USA.
Selena HernandezSan Francisco State University, Department of Biology, San Francisco CA, 94132, USA.
Kaela SyasSan Francisco State University, Department of Mathematics, San Francisco CA, 94132, USA.
Ryan HernandezBioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA; San Francisco, 94134, CA, USA.ORCID 0000-0001-5249-504X
Elena I ZavalaSan Francisco State University, Department of Biology, San Francisco CA, 94132, USA.ORCID 0000-0001-7687-5370
Rori RohlfsSan Francisco State University, Department of Biology, San Francisco CA, 94132, USA.ORCID 0000-0002-2625-192X
San Francisco State University · USUniversity of California, San Francisco · USUniversity of Oregon · US

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
NIGMS NIH HHS R25 GM059298NIGMS NIH HHS T34 GM008574NIGMS NIH HHS T34 GM145400
6 · The paper itself

Abstract

Background: Large-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. Results: We 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. We validated the accuracy of our software by simulating genomes onto diverse family pedigree structures, showing that the estimated kinship coefficients closely approximated expected values. Conclusions: py_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

FamilyForward-Time SimulationsGenerationGeneticsInheritanceKinshipPedigreePython

Identifiers

PMID38585824
PMCPMC10996500
OpenAlexW4393305297

What OpenQuestion 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 OpenQuestion graph.