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      Extreme inbreeding in a European ancestry sample from the contemporary UK population

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          Abstract

          In most human societies, there are taboos and laws banning mating between first- and second-degree relatives, but actual prevalence and effects on health and fitness are poorly quantified. Here, we leverage a large observational study of ~450,000 participants of European ancestry from the UK Biobank (UKB) to quantify extreme inbreeding (EI) and its consequences. We use genotyped SNPs to detect large runs of homozygosity (ROH) and call EI when >10% of an individual’s genome comprise ROHs. We estimate a prevalence of EI of ~0.03%, i.e., ~1/3652. EI cases have phenotypic means between 0.3 and 0.7 standard deviation below the population mean for 7 traits, including stature and cognitive ability, consistent with inbreeding depression estimated from individuals with low levels of inbreeding. Our study provides DNA-based quantification of the prevalence of EI in a European ancestry sample from the UK and measures its effects on health and fitness traits.

          Abstract

          Mating between first or second-degree relatives is prohibited in most countries, yet it occurs and is under-studied. Here, Yengo et al. use large runs of homozygosity from the UK Biobank resource to provide DNA-based quantification of extreme inbreeding and its consequence for health and other complex traits.

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          The genetics of inbreeding depression.

          Inbreeding depression - the reduced survival and fertility of offspring of related individuals - occurs in wild animal and plant populations as well as in humans, indicating that genetic variation in fitness traits exists in natural populations. Inbreeding depression is important in the evolution of outcrossing mating systems and, because intercrossing inbred strains improves yield (heterosis), which is important in crop breeding, the genetic basis of these effects has been debated since the early twentieth century. Classical genetic studies and modern molecular evolutionary approaches now suggest that inbreeding depression and heterosis are predominantly caused by the presence of recessive deleterious mutations in populations.
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            The genetic basis of inbreeding depression.

            Data on the effects of inbreeding on fitness components are reviewed in the light of population genetic models of the possible genetic causes of inbreeding depression. Deleterious mutations probably play a major role in causing inbreeding depression. Putting together the different kinds of quantitative genetic data, it is difficult to account for the very large effects of inbreeding on fitness in Drosophila and outcrossing plants without a significant contribution from variability maintained by selection. Overdominant effects of alleles on fitness components seem not to be important in most cases. Recessive or partially recessive deleterious effects of alleles, some maintained by mutation pressure and some by balancing selection, thus seem to be the most important source of inbreeding depression. Possible experimental approaches to resolving outstanding questions are discussed.
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              Differences between germline and somatic mutation rates in humans and mice

              The germline mutation rate has been extensively studied and has been found to vary greatly between species, but much less is known about the somatic mutation rate in multicellular organisms, which remains very difficult to determine. Here, we present data on somatic mutation rates in mice and humans, obtained by sequencing single cells and clones derived from primary fibroblasts, which allows us to make the first direct comparison with germline mutation rates in these two species. The results indicate that the somatic mutation rate is almost two orders of magnitude higher than the germline mutation rate and that both mutation rates are significantly higher in mice than in humans. Our findings demonstrate both the privileged status of germline genome integrity and species-specific differences in genome maintenance.
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                Author and article information

                Contributors
                l.yengodimbou@uq.edu.au
                peter.visscher@uq.edu.au
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                3 September 2019
                3 September 2019
                2019
                : 10
                : 3719
                Affiliations
                [1 ]ISNI 0000 0000 9320 7537, GRID grid.1003.2, Institute for Molecular Bioscience, , The University of Queensland, ; QLD 4072 Brisbane, Australia
                [2 ]ISNI 0000 0000 9320 7537, GRID grid.1003.2, Queensland Brain Institute, , The University of Queensland, ; Brisbane, 4072 Australia
                Author information
                http://orcid.org/0000-0002-4272-9305
                http://orcid.org/0000-0001-7421-3357
                http://orcid.org/0000-0002-2143-8760
                Article
                11724
                10.1038/s41467-019-11724-6
                6722066
                30602773
                84908b5e-ca0c-4681-b17d-c2db255eb5d4
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 23 February 2019
                : 18 July 2019
                Funding
                Funded by: This research was supported by the Australian Research Council (DP160103860, DP160102400), and the Australian National Health and Medical Research Council (1078037, 1078901 and 1113400)
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                inbreeding,consanguinity,behavioural genetics,population genetics
                Uncategorized
                inbreeding, consanguinity, behavioural genetics, population genetics

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