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EL Nagar AG, Heddi I, Sosa-Madrid BS, Blasco A, Hernández P, Ibáñez-Escriche N. Genome-Wide Association Study of Maternal Genetic Effects on Intramuscular Fat and Fatty Acid Composition in Rabbits. Animals (Basel) 2023; 13:3071. [PMID: 37835677 PMCID: PMC10571580 DOI: 10.3390/ani13193071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 09/25/2023] [Accepted: 09/28/2023] [Indexed: 10/15/2023] Open
Abstract
Maternal genetic effects (MGE) could affect meat quality traits such as intramuscular fat (IMF) and its fatty acid composition. However, it has been scarcely studied, especially in rabbits. The objectives of the present study were, first, to assess the importance of MGE on intramuscular fat and fatty acid composition by applying a Bayesian maternal animal model in two rabbit lines divergently selected for IMF. The second objective was to identify genomic regions and candidate genes of MGE that are associated with the traits of these offspring, using Bayesian methods in a Genome Wide Association Study (GWAS). Quantitative analyses were performed using data from 1982 rabbits, and 349 animals from the 9th generation and 76 dams of the 8th generation with 88,512 SNPs were used for the GWAS. The studied traits were IMF, saturated fatty acids (total SFA, C14:0; myristic acid, C16:0; palmitic acid and C18:0; stearic acid), monounsaturated fatty acids (total MUFA, C16:1n-7; palmitoleic acid and C18:1n-9; oleic acid), polyunsaturated fatty acids (total PUFA, C18:2n-6; linoleic acid, C18:3n-3; α-linolenic acid and C20:4n-6; arachidonic acid), MUFA/SFA and PUFA/SFA. The proportion of phenotypic variance explained by the maternal genetic effect ranged from 8 to 22% for IMF, depending on the model. For fatty acid composition, the proportion of phenotypic variance explained by maternal genetic effects varied from 10% (C18:0) to 46% (MUFA) in a model including both direct and additive maternal genetic effects, together with the common litter effect as a random variable. In particular, there were significant direct maternal genetic correlations for C16:0, C18:1n9, C18:2n6, SFA, MUFA, and PUFA with values ranging from -0.53 to -0.89. Relevant associated genomic regions were located on the rabbit chromosomes (OCU) OCU1, OCU5 and OCU19 containing some relevant candidates (TANC2, ACE, MAP3K3, TEX2, PRKCA, SH3GL2, CNTLN, RPGRIP1L and FTO) related to lipid metabolism, binding, and obesity. These regions explained about 1.2 to 13.9% of the total genomic variance of the traits studied. Our results showed an important maternal genetic effect on IMF and its fatty acid composition in rabbits and identified promising candidate genes associated with these traits.
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Affiliation(s)
- Ayman G. EL Nagar
- Institute for Animal Science and Technology, Universitat Politècnica de València, 46022 Valencia, Spain; (A.G.E.N.)
- Department of Animal Production, Faculty of Agriculture at Moshtohor, Benha University, Benha 13736, Egypt
| | - Imen Heddi
- Centro Regional de Selección y Reproducción Animal (CERSYRA), Av. del Vino, 10, 13300 Valdepeñas, Spain
| | - Bolívar Samuel Sosa-Madrid
- Institute for Animal Science and Technology, Universitat Politècnica de València, 46022 Valencia, Spain; (A.G.E.N.)
| | - Agustín Blasco
- Institute for Animal Science and Technology, Universitat Politècnica de València, 46022 Valencia, Spain; (A.G.E.N.)
| | - Pilar Hernández
- Institute for Animal Science and Technology, Universitat Politècnica de València, 46022 Valencia, Spain; (A.G.E.N.)
| | - Noelia Ibáñez-Escriche
- Institute for Animal Science and Technology, Universitat Politècnica de València, 46022 Valencia, Spain; (A.G.E.N.)
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Hu D, Chen S, Zhang H. Estimation of genetic heritabilities of human traits in case-control studies. Ann Hum Genet 2022; 87:91-103. [PMID: 36562358 DOI: 10.1111/ahg.12491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 11/30/2022] [Accepted: 12/02/2022] [Indexed: 12/24/2022]
Abstract
It is of great interest to detect missing heritability for human complex traits. Additive genetic effects (ADD), maternal genetic effects (MGE), and parent-of-origin effects (POE) play important roles in genetic mechanisms. Methods have been developed in the literature to analyze heritabilities due to ADD, POE, and MGE separately but not simultaneously. In this paper, a new model termed APM is proposed based on mother-child duos genetic data, which orthogonally decomposes heritabilities due to ADD, POE, and MGE. This orthogonal decomposition is biologically interpretable since it ideally characterizes independent contributions due to the three effects. We focus on case-control data that are widely adopted in genetics studies and develop a novel method R-PCGC by adjusting estimation biases due to sampling bias in case-control studies and imposing nonnegative constraints on the heritability estimates. Large sample properties such as consistency and asymptotic normality are established for R-PCGC. The desired properties of R-PCGC (i.e., asymptotic unbiasedness and nonnegativity) are confirmed through simulations. Finally, R-PCGC regression is applied to a case-control study of preterm births from the Danish National Birth Cohort (DNBC).
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Affiliation(s)
- Die Hu
- Department of Statistics and Finance, School of Management, University of Science and Technology of China, Anhui, China
| | - Shuyue Chen
- School of Data Science, University of Science and Technology of China, Anhui, China
| | - Hong Zhang
- Department of Statistics and Finance, School of Management, University of Science and Technology of China, Anhui, China
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Lee HL, Lin MY, Wang HS, Hsu CB, Lin CY, Chang SC, Shen PC, Chang HL. Direct-Maternal Genetic Parameters for Litter Size and Body Weight of Piglets of a New Black Breed for the Taiwan Black Hog Market. Animals (Basel) 2022; 12. [PMID: 36496816 DOI: 10.3390/ani12233295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/24/2022] [Accepted: 11/24/2022] [Indexed: 11/29/2022] Open
Abstract
The objective of this study was to estimate the genetic parameters of litter size and piglet weight from farrowing to weaning in KHAPS Black sows. The genetic parameters investigated were the direct (h2d), maternal (h2m), realized (h2r), and total (h2T) heritability, as well as correlations (rd, rm, and rdm) within and between traits. The analyses were performed using single- and three-trait animal models with and without maternal genetic effects. In the three-trait model with maternal genetic effect, all estimates of h2d and h2m were significantly different from zero except the h2d of mean birth weight. Positive values of rd and rm between traits were observed as expected in the range of 0.322-1.000. Negative values of rdm were found within and between traits and were less associated with mean piglet weight traits than litter size traits. Estimates of h2T were consistently larger than those of h2r in both the single- and three-trait model analyses. In addition, the three-trait model can take into account the association between the traits, so the estimates are more accurate with smaller SEs. In conclusion, maternal genetic effects were not negligible in this study, and thus, a multiple-trait animal model with maternal genetic effects and full pedigree is recommended to assist future pig breeding decisions in this new breed.
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Abstract
Genetic variation in fitness is required for the adaptive evolution of any trait but natural selection is thought to erode genetic variance in fitness. This paradox has motivated the search for mechanisms that might maintain a population's adaptive potential. Mothers make many contributions to the attributes of their developing offspring and these maternal effects can influence responses to natural selection if maternal effects are themselves heritable. Maternal genetic effects (MGEs) on fitness might, therefore, represent an underappreciated source of adaptive potential in wild populations. Here we used two decades of data from a pedigreed wild population of North American red squirrels to show that MGEs on offspring fitness increased the population's evolvability by over two orders of magnitude relative to expectations from direct genetic effects alone. MGEs are predicted to maintain more variation than direct genetic effects in the face of selection, but we also found evidence of maternal effect trade-offs. Mothers that raised high-fitness offspring in one environment raised low-fitness offspring in another environment. Such a fitness trade-off is expected to maintain maternal genetic variation in fitness, which provided additional capacity for adaptive evolution beyond that provided by direct genetic effects on fitness.
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Affiliation(s)
- S Eryn McFarlane
- Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada N1G 2W1
| | - Jamieson C Gorrell
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2E9
| | - David W Coltman
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2E9
| | - Murray M Humphries
- Department of Natural Resource Sciences, McGill University, Macdonald Campus, Ste-Anne-de-Bellevue, Québec, Canada H9X 3V9
| | - Stan Boutin
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2E9
| | - Andrew G McAdam
- Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada N1G 2W1
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Connolly S, Heron EA. Review of statistical methodologies for the detection of parent-of-origin effects in family trio genome-wide association data with binary disease traits. Brief Bioinform 2014; 16:429-48. [PMID: 24903222 DOI: 10.1093/bib/bbu017] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Accepted: 04/14/2014] [Indexed: 11/13/2022] Open
Abstract
The detection of parent-of-origin effects aims to identify whether the functionality of alleles, and in turn associated phenotypic traits, depends on the parental origin of the alleles. Different parent-of-origin effects have been identified through a variety of mechanisms and a number of statistical methodologies for their detection have been proposed, in particular for genome-wide association studies (GWAS). GWAS have had limited success in explaining the heritability of many complex disorders and traits, but successful identification of parent-of-origin effects using trio (mother, father and offspring) GWAS may help shed light on this missing heritability. However, it is important to choose the most appropriate parent-of-origin test or methodology, given knowledge of the phenotype, amount of available data and the type of parent-of-origin effect(s) being considered. This review brings together the parent-of-origin detection methodologies available, comparing them in terms of power and type I error for a number of different simulated data scenarios, and finally offering guidance as to the most appropriate choice for the different scenarios.
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Zhang G, Khoo SK, Mäkelä MJ, Candelaria P, Hayden CM, von Hertzen L, Laatikainen T, Vartiainen E, Goldblatt J, Haahtela T, LeSouëf PN. Maternal Genetic Variants of IL4/IL13 Pathway Genes on IgE With "Western or Eastern Environments/Lifestyles". Allergy Asthma Immunol Res 2014; 6:350-6. [PMID: 24991459 PMCID: PMC4077962 DOI: 10.4168/aair.2014.6.4.350] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2013] [Revised: 09/19/2013] [Accepted: 09/30/2013] [Indexed: 12/26/2022]
Abstract
Purpose We investigated maternal genetic effects of four IL-4/IL-13 pathway genes as well as their interactions with the "Western or Eastern lifestyles/environments" on IgE in Karelian children. Methods This study included 609 children and their mothers. Total IgE levels in children and mothers were measured and 10 single nucleotide polymorphisms (SNPs) in IL-4, IL-4Ra, IL-13, and STAT6 were genotyped in mothers and their children. Results The maternal G allele of IL-13 130 (rs20541) was significantly (P=0.001) associated with decreased IgE in children in the Karelian population (Pooling Finnish and Russian children), as well as in Finnish (P=0.030) and Russian children (P=0.018). The IgE levels were significantly (P=0.001) higher in Russian children whose mothers were homozygous for the G allele of the IL-4Ra 50 (rs1805010) SNP than that in Russian children of mothers who were AG heterozygotes or AA homozygotes. After accounting for children's genotypes, we observed interactive effects on children's IgE for maternal IL-13 130 genotypes (P=0.014) and maternal IL-4Ra 50 genotypes (P=0.0003) with "Western or Eastern" lifestyles/environments. With the adjustment for multiple comparisons using a false discovery rate (FDR) of 0.05, the interactive effect of the maternal IL-4Ra50 SNP was significant. Conclusion Maternal genetic variants in IL-4/IL-13 pathway genes, such as IL-13 130 and IL-4Ra50, influenced IgE levels in school children that were independent of the children's genetic effects. These effects differ in "Western or Eastern" environments.
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Affiliation(s)
- Guicheng Zhang
- School of Paediatrics and Child Health, University of Western Australia, Australia. ; School of Public Health, Curtin University, Perth, Australia
| | - Siew-Kim Khoo
- School of Paediatrics and Child Health, University of Western Australia, Australia
| | - Mika J Mäkelä
- Skin and Allergy Hospital, Helsinki University Central Hospital, Helsinki, Finland
| | - Pierre Candelaria
- School of Paediatrics and Child Health, University of Western Australia, Australia
| | - Catherine M Hayden
- School of Paediatrics and Child Health, University of Western Australia, Australia
| | - Leena von Hertzen
- Skin and Allergy Hospital, Helsinki University Central Hospital, Helsinki, Finland
| | - Tiina Laatikainen
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Helsinki, Finland
| | - Erkki Vartiainen
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Helsinki, Finland
| | - Jack Goldblatt
- School of Paediatrics and Child Health, University of Western Australia, Australia. ; Genetic Services of WA, King Edward Memorial Hospital, Perth, Australia
| | - Tari Haahtela
- Skin and Allergy Hospital, Helsinki University Central Hospital, Helsinki, Finland
| | - Peter N LeSouëf
- School of Paediatrics and Child Health, University of Western Australia, Australia
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