Evidence map›Paper›PMID 39406345›Full record

ArticleProceedings. Biological sciences2024

In search of the genetic variants of human sex ratio at birth: was Fisher wrong about sex ratio evolution?

Siliang Song, Jianzhi Zhang

Erratum issuedAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Sex-allocation trade-offs and their genetic architecture revealed by experimental evolution.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Siliang SongDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.
Jianzhi ZhangDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-6141-1290

Funding

Genomic and Systemic Approaches to Evolutionary MechanismsR35GM139484 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JIANZHI ZHANG · 2021 to 2026
$3.2M
High-Performance Computing Cluster for Biomedical ResearchS10OD026825 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID · 2020 to 2020
$600k
NIGMS NIH HHS R35 GM139484NIH HHS S10 OD026825US National Institutes of Health
6 · The paper itself

Abstract

The human sex ratio (fraction of males) at birth is close to 0.5 at the population level, an observation commonly explained by Fisher's principle. However, past human studies yielded conflicting results regarding the existence of sex ratio-influencing mutations-a prerequisite to Fisher's principle, raising the question of whether the nearly even population sex ratio is instead dictated by the random X/Y chromosome segregation in male meiosis. Here we show that, because a person's offspring sex ratio (OSR) has an enormous measurement error, a gigantic sample is required to detect OSR-influencing genetic variants. Conducting a UK Biobank-based genome-wide association study that is more powerful than previous studies, we detect an OSR-associated genetic variant, which awaits verification in independent samples. Given the abysmal precision in measuring OSR, it is unsurprising that the estimated heritability of OSR is effectively zero. We further show that OSR's estimated heritability would remain virtually zero even if OSR is as genetically variable as the highly heritable human standing height. These analyses, along with simulations of human sex ratio evolution under selection, demonstrate the compatibility of the observed genetic architecture of human OSR with Fisher's principle and render it plausible that multiple OSR-influencing genetic variants segregate among humans.

Indexed as

Genome-Wide Association StudySex RatioBiological EvolutionFemaleGenetic VariationHumansMaleADAMTS14Fisher’s principleheritabilityKIF20Bphenotyping errorRLF

Identifiers

PMID39406345
PMCPMC11479764

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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.