Evidence map›Paper›PMID 20188344›Full record

ArticleAmerican journal of human genetics2010

Female-to-male breeding ratio in modern humans-an analysis based on historical recombinations.

Damian Labuda, Jean-François Lefebvre, Philippe Nadeau, Marie-Hélène Roy-Gagnon

Erratum issuedOpen access · bronzeAbstract readHistorical Article
In one paragraph

Article in American journal of human genetics, 2010. 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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

19 citing papers in PubMed, 46 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Damian LabudaResearch Center, Hôpital Sainte-Justine, Université de Montréal, 3175 Cote Sainte-Catherine, Montreal, QC, Canada H3T 1C5. damian.labuda@umontreal.ca
Jean-François Lefebvre
Philippe Nadeau
Marie-Hélène Roy-Gagnon
Centre Hospitalier Universitaire Sainte-Justine · CAUniversité de Montréal · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Was the past genetic contribution of women and men to the current human population equal? Was polygyny (excess of breeding women) present among hominid lineages? We addressed these questions by measuring the ratio of population recombination rates between the X chromosome and the autosomes, rho(X)/rho(A). The X chromosome recombines only in female meiosis, whereas autosomes undergo crossovers in both sexes; thus, rho(X)/rho(A) reflects the female-to-male breeding ratio, beta. We estimated beta from rho(X)/rho(A) inferred from genomic diversity data and calibrated with recombination rates derived from pedigree data. For the HapMap populations, we obtained beta of 1.4 in the Yoruba from West Africa, 1.3 in Europeans, and 1.1 in East Asian samples. These values are consistent with a high prevalence of monogamy and limited polygyny in human populations. More mutations occur during male meiosis as compared to female meiosis at the rate ratio referred to as alpha. We show that at alpha not equal 1, the divergence rates and genetic diversities of the X chromosome relative to the autosomes are complex functions of both alpha and beta, making their independent estimation difficult. Because our estimator of beta does not require any knowledge of the mutation rates, our approach should allow us to dissociate the effects of alpha and beta on the genetic diversity and divergence rate ratios of the sex chromosomes to the autosomes.

Indexed as

Biological EvolutionGenetics, PopulationRecombination, GeneticAnimalsChromosomes, HumanChromosomes, Human, XDatabases, GeneticFemaleGenetic VariationHistory, AncientHumansMaleMarriageModels, GeneticPhylogenySex Ratio

Identifiers

PMID20188344
PMCPMC2833377
OpenAlexW1971124112

What OpenQuestion holds

Textmetadata
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.