Evidence map›Paper›PMID 41676655›Full record

ArticlebioRxiv : the preprint server for biology2026

Signatures of sex ratio distortion in humans.

James G Baldwin-Brown, Sergiusz Wesolowski, Raquel Mae Zimmerman, Bennet Peterson, Martin Tristani-Firouzi, Edgar Havier Hernandez, Kenneth I Aston, Mark Yandell, Nitin Phadnis

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

James G Baldwin-BrownSchool of Biological Sciences, University of Utah, 257 South 1400 East, Salt Lake City, UT 84112.
Sergiusz WesolowskiModerna, 200 Technology Square, Cambridge, Massachusetts 02139.
Raquel Mae ZimmermanEccles Institute of Human Genetics, School of Medicine, University of Utah, UT 84112.
Bennet PetersonEccles Institute of Human Genetics, School of Medicine, University of Utah, UT 84112.
Martin Tristani-FirouziEccles Institute of Human Genetics, School of Medicine, University of Utah, UT 84112.
Edgar Havier HernandezEccles Institute of Human Genetics, School of Medicine, University of Utah, UT 84112.
Kenneth I AstonDepartment of Surgery, School of Medicine, University of Utah, UT 84112.
Mark YandellEccles Institute of Human Genetics, School of Medicine, University of Utah, UT 84112.
Nitin PhadnisSchool of Biological Sciences, University of Utah, 257 South 1400 East, Salt Lake City, UT 84112.

Funding

The mechanisms of segregation distortion in DrosophilaR01GM141422 · NIGMS · UNIVERSITY OF UTAH · PI PHADNIS, NITIN · 2021 to 2024
$1.4M
Molecular mechanisms of genomic conflicts and hybrid incompatibilitiesR35GM156267 · NIGMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Nitin Phadnis · 2025 to 2026
$847k
NIGMS NIH HHS R01 GM141422NIGMS NIH HHS R35 GM156267
6 · The paper itself

Abstract

Segregation distortion, the disproportionate inheritance of selfish genetic elements, is an important evolutionary force. While many species carry distorters, it is not clear if humans do. Major limitations for detecting human distortion are the small size of human families and the lack of genetic markers in most subjects. Here, we present evidence of strong distortion in a large human pedigree. We analyzed pedigrees from the Utah Population Database and identified lineages with a high chance of carrying a distorter. In particular, we identified a family that preferentially produced male offspring at a 2:1 ratio. This pattern is consistent with a distorting

Indexed as

evolutiongeneticshumanmeiotic drivesegregation distortion

Identifiers

PMID41676655
PMCPMC12889636

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.