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Invited Commentaries

Confounds, Causality, and Sexual Orientation: The Implications of a Population-Level Study of Sibling Characteristics and Same-Sex Attraction

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ABSTRACT

Representative samples, and especially population samples, are coveted sources of high-quality data in psychological science. In their recent article, Ablaza et al. (2021) used a population sample of marriages and registered partnerships in the Netherlands to examine the relationships between sibling characteristics and sexual orientation. We discuss the implications of this work for understanding the fraternal and sororal birth order effects on male and female same-sex attraction, and how both relate to maternal reproduction. The causal assumptions of these findings are explored, as well as the necessity of population-level data, and whether the data presented by Ablaza et al. are truly representative of the Dutch population.

Disclosure Statement

No potential conflict of interest was reported by the authors.

Notes

1 Terms related to sex (male/female), and gender (man, woman, transgender, non-binary, etc.) are often used interchangeably without adequate recognition that sex and gender do not align in all individuals (e.g., Zucker, Citation2017). Because sex and gender align in the overwhelming majority of individuals, we use man/male and woman/female interchangeably, and associated terms such as sister and brother to convey the biological sex of siblings.

2 Other genetic models for same-sex attraction have also been proposed, including overdominance (Zietsch et al., Citation2008), antagonistic pleiotropy (Zietsch et al., Citation2021), and polygenic effects (Ganna et al., Citation2019). These genetic effects could also be represented in diagrams like , but the framing of the FFE discussed presently, and by Ablaza et al. (Citation2021), is most strongly related to the SAGH.

Additional information

Funding

Scott W. Semenyna is supported by a Postdoctoral Fellowship from the Social Sciences and Humanities Research Council (SSHRC) of Canada [Award #756-2020-0107]. Paul L. Vasey is supported by a Natural Sciences and Engineering Research Council (NSERC) Discovery Grant [RGPIN-2020-042444].

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