Literature DB >> 17628754

Good genes, complementary genes and human mate preferences.

S Craig Roberts1, Anthony C Little.   

Abstract

The past decade has witnessed a rapidly growing interest in the biological basis of human mate choice. Here we review recent studies that demonstrate preferences for traits which might reveal genetic quality to prospective mates, with potential but still largely unknown influence on offspring fitness. These include studies assessing visual, olfactory and auditory preferences for potential good-gene indicator traits, such as dominance or bilateral symmetry. Individual differences in these robust preferences mainly arise through within and between individual variation in condition and reproductive status. Another set of studies have revealed preferences for traits indicating complementary genes, focussing on discrimination of dissimilarity at genes in the major histocompatibility complex (MHC). As in animal studies, we are only just beginning to understand how preferences for specific traits vary and inter-relate, how consideration of good and compatible genes can lead to substantial variability in individual mate choice decisions and how preferences expressed in one sensory modality may reflect those in another. Humans may be an ideal model species in which to explore these interesting complexities.

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Year:  2007        PMID: 17628754     DOI: 10.1007/s10709-007-9174-1

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  11 in total

1.  An introduction to genetic quality in the context of sexual selection.

Authors:  Trevor E Pitcher; Herman L Mays
Journal:  Genetica       Date:  2008-06-07       Impact factor: 1.082

2.  Facial averageness and genetic quality: Testing heritability, genetic correlation with attractiveness, and the paternal age effect.

Authors:  Anthony J Lee; Dorian G Mitchem; Margaret J Wright; Nicholas G Martin; Matthew C Keller; Brendan P Zietsch
Journal:  Evol Hum Behav       Date:  2015-08-28       Impact factor: 4.178

3.  Experimental evidence that women's mate preferences are directly influenced by cues of pathogen prevalence and resource scarcity.

Authors:  Anthony J Lee; Brendan P Zietsch
Journal:  Biol Lett       Date:  2011-06-22       Impact factor: 3.703

4.  Relationship satisfaction and outcome in women who meet their partner while using oral contraception.

Authors:  S Craig Roberts; Katerina Klapilová; Anthony C Little; Robert P Burriss; Benedict C Jones; Lisa M DeBruine; Marion Petrie; Jan Havlícek
Journal:  Proc Biol Sci       Date:  2011-10-12       Impact factor: 5.349

Review 5.  Why do we pick similar mates, or do we?

Authors:  Thomas M M Versluys; Ewan O Flintham; Alex Mas-Sandoval; Vincent Savolainen
Journal:  Biol Lett       Date:  2021-11-24       Impact factor: 3.703

6.  Assortative mating at loci under recent natural selection in humans.

Authors:  Akihiro Nishi; Marcus Alexander; James H Fowler; Nicholas A Christakis
Journal:  Biosystems       Date:  2019-10-01       Impact factor: 1.973

7.  Genetic factors that increase male facial masculinity decrease facial attractiveness of female relatives.

Authors:  Anthony J Lee; Dorian G Mitchem; Margaret J Wright; Nicholas G Martin; Matthew C Keller; Brendan P Zietsch
Journal:  Psychol Sci       Date:  2013-12-30

8.  Optimal asymmetry and other motion parameters that characterise high-quality female dance.

Authors:  Kristofor McCarty; Hannah Darwin; Piers L Cornelissen; Tamsin K Saxton; Martin J Tovée; Nick Caplan; Nick Neave
Journal:  Sci Rep       Date:  2017-02-09       Impact factor: 4.379

9.  MHC-Dependent Mate Selection within 872 Spousal Pairs of European Ancestry from the Health and Retirement Study.

Authors:  Zhen Qiao; Joseph E Powell; David M Evans
Journal:  Genes (Basel)       Date:  2018-01-22       Impact factor: 4.096

10.  MHC-correlated odour preferences in humans and the use of oral contraceptives.

Authors:  S Craig Roberts; L Morris Gosling; Vaughan Carter; Marion Petrie
Journal:  Proc Biol Sci       Date:  2008-12-07       Impact factor: 5.349

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