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Naseri A, Zhi D, Zhang S. Discovery of runs-of-homozygosity diplotype clusters and their associations with diseases in UK Biobank. eLife 2024; 13:e81698. [PMID: 38905121 PMCID: PMC11249732 DOI: 10.7554/elife.81698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 06/20/2024] [Indexed: 06/23/2024] Open
Abstract
Runs-of-homozygosity (ROH) segments, contiguous homozygous regions in a genome were traditionally linked to families and inbred populations. However, a growing literature suggests that ROHs are ubiquitous in outbred populations. Still, most existing genetic studies of ROH in populations are limited to aggregated ROH content across the genome, which does not offer the resolution for mapping causal loci. This limitation is mainly due to a lack of methods for the efficient identification of shared ROH diplotypes. Here, we present a new method, ROH-DICE (runs-of-homozygous diplotype cluster enumerator), to find large ROH diplotype clusters, sufficiently long ROHs shared by a sufficient number of individuals, in large cohorts. ROH-DICE identified over 1 million ROH diplotypes that span over 100 single nucleotide polymorphisms (SNPs) and are shared by more than 100 UK Biobank participants. Moreover, we found significant associations of clustered ROH diplotypes across the genome with various self-reported diseases, with the strongest associations found between the extended human leukocyte antigen (HLA) region and autoimmune disorders. We found an association between a diplotype covering the homeostatic iron regulator (HFE) gene and hemochromatosis, even though the well-known causal SNP was not directly genotyped or imputed. Using a genome-wide scan, we identified a putative association between carriers of an ROH diplotype in chromosome 4 and an increase in mortality among COVID-19 patients (p-value = 1.82 × 10-11). In summary, our ROH-DICE method, by calling out large ROH diplotypes in a large outbred population, enables further population genetics into the demographic history of large populations. More importantly, our method enables a new genome-wide mapping approach for finding disease-causing loci with multi-marker recessive effects at a population scale.
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Affiliation(s)
- Ardalan Naseri
- Department of Computer Science, University of Central FloridaOrlandoUnited States
| | - Degui Zhi
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at HoustonHoustonUnited States
| | - Shaojie Zhang
- Department of Computer Science, University of Central FloridaOrlandoUnited States
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Sweetalana, Mooney JA, Szpiech ZA. Genotypic and phenotypic consequences of domestication in dogs. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.01.592072. [PMID: 38746159 PMCID: PMC11092585 DOI: 10.1101/2024.05.01.592072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Runs of homozygosity (ROH) are genomic regions that arise when two copies of an identical ancestral haplotype are inherited from parents with a recent common ancestor. In this study, we performed a novel comprehensive analysis to infer genetic diversity among dogs and quantified the association between ROH and non-disease phenotypes. We found distinct patterns of genetic diversity across clades of breed dogs and elevated levels of long ROH, compared to non- domesticated dogs. These high levels of F ROH (inbreeding coefficient) are a consequence of recent inbreeding among domesticated dogs during breed establishment. We identified statistically significant associations between F ROH and height, weight, lifespan, muscled, white head, white chest, furnish, and length of fur. After correcting for population structure, we identified more than 45 genes across the three examined quantitative traits that exceeded the threshold for suggestive significance, indicating significant polygenic inheritance for the complex quantitative phenotypes in dogs.
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Malawsky DS, van Walree E, Jacobs BM, Heng TH, Huang QQ, Sabir AH, Rahman S, Sharif SM, Khan A, Mirkov MU, Kuwahara H, Gao X, Alkuraya FS, Posthuma D, Newman WG, Griffiths CJ, Mathur R, van Heel DA, Finer S, O'Connell J, Martin HC. Influence of autozygosity on common disease risk across the phenotypic spectrum. Cell 2023; 186:4514-4527.e14. [PMID: 37757828 PMCID: PMC10580289 DOI: 10.1016/j.cell.2023.08.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 07/11/2023] [Accepted: 08/23/2023] [Indexed: 09/29/2023]
Abstract
Autozygosity is associated with rare Mendelian disorders and clinically relevant quantitative traits. We investigated associations between the fraction of the genome in runs of homozygosity (FROH) and common diseases in Genes & Health (n = 23,978 British South Asians), UK Biobank (n = 397,184), and 23andMe. We show that restricting analysis to offspring of first cousins is an effective way of reducing confounding due to social/environmental correlates of FROH. Within this group in G&H+UK Biobank, we found experiment-wide significant associations between FROH and twelve common diseases. We replicated associations with type 2 diabetes (T2D) and post-traumatic stress disorder via within-sibling analysis in 23andMe (median n = 480,282). We estimated that autozygosity due to consanguinity accounts for 5%-18% of T2D cases among British Pakistanis. Our work highlights the possibility of widespread non-additive genetic effects on common diseases and has important implications for global populations with high rates of consanguinity.
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Affiliation(s)
| | - Eva van Walree
- Department of Clinical Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands; Department of Complex Trait Genetics Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU Amsterdam, Amsterdam, the Netherlands
| | - Benjamin M Jacobs
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK; Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Teng Hiang Heng
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Qin Qin Huang
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Ataf H Sabir
- West Midlands Regional Clinical Genetics Unit, Birmingham Women's and Children's NHS FT, Birmingham, UK; Institute of Cancer and Genomics, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Saadia Rahman
- Queen Square Institute of Neurology, University College London, London, UK
| | - Saghira Malik Sharif
- Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Ahsan Khan
- Waltham Forest Council, Waltham Forest Town Hall, Forest Road, Walthamstow E17 4JF, UK
| | - Maša Umićević Mirkov
- Congenica Limited, BioData Innovation Centre, Wellcome Genome Campus, Hinxton, UK
| | - Hiroyuki Kuwahara
- King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Thuwal 23955, Saudi Arabia
| | - Xin Gao
- King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Thuwal 23955, Saudi Arabia
| | - Fowzan S Alkuraya
- Department of Translational Genomics, Center for Genomic Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Danielle Posthuma
- Department of Complex Trait Genetics Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU Amsterdam, Amsterdam, the Netherlands
| | - William G Newman
- Division of Evolution, Infection and Genomics, Faculty of Biology, Medicine and Human Sciences, University of Manchester, Manchester M13 9PL, UK; Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Christopher J Griffiths
- Wolfson Institute of Population Health, Queen Mary University of London, London, UK; MRC and Asthma UK Centre in Allergic Mechanisms of Asthma, King's College London, London, UK
| | - Rohini Mathur
- Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - David A van Heel
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Sarah Finer
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK; Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | | | - Hilary C Martin
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
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The coefficients of inbreeding revealed by ROH study among inbred individuals belonging to each type of the first cousin marriage: A preliminary report from North India. Genes Genomics 2023; 45:813-825. [PMID: 36807878 DOI: 10.1007/s13258-023-01367-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 01/27/2023] [Indexed: 02/23/2023]
Abstract
BACKGROUND Genome-wide runs of homozygosity (ROH) are appropriate to estimate genomic inbreeding, determine population history, unravel the genetic architecture of complex traits and disorders. OBJECTIVE The study sought to investigate and compare the actual proportion of homozygosity or autozygosity in the genomes of progeny of four subtypes of first cousin mating in humans, using both pedigree and genomic measures for autosomes and sex chromosomes. METHODS For this purpose, Illumina Global Screening Array-24 v1.0 BeadChip followed by cyto-ROH analysis through Illumina Genome Studio was used to characterise the homozygosity in five participants from North Indian state (Uttar Pradesh). PLINK v.1.9 software was used to estimate the genomic inbreeding coefficients viz. ROH-based inbreeding estimate (FROH) and homozygous loci-based inbreeding estimate (FHOM). RESULTS A total of 133 ROH segments were detected with maximum number and genomic coverage in Matrilateral Parallel (MP) type and minimum in outbred individual. ROH pattern revealed that MP type has a higher degree of homozygosity than other subtypes. The comparison of FROH, FHOM, and pedigree-based inbreeding estimate (FPED) showed some difference in theoretical and realised proportion of homozygosity for sex-chromosomal loci but not for autosome for each type of consanguinity. CONCLUSIONS This is the very first study to compare and estimate the pattern of homozygosity among the kindreds of first cousin unions. However, a greater number of individuals from each type of marriage is required for statistical inference of no difference between theoretical and realized homozygosity among different degrees of inbreeding prevalent in humans worldwide.
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Yasmin T, Andres EM, Ashraf K, Basra MAR, Raza MH. Genome-wide analysis of runs of homozygosity in Pakistani controls with no history of speech or language-related developmental phenotypes. Ann Hum Biol 2023; 50:100-107. [PMID: 36786444 PMCID: PMC10284496 DOI: 10.1080/03014460.2023.2180087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 01/27/2023] [Indexed: 02/15/2023]
Abstract
BACKGROUND Runs of homozygosity (ROHs) analysis of controls provide a convenient resource to minimize the association of false positive results of disease-associated ROHs and genetic variants for simple and complex disorders in individuals from the same population. Evidence for the value of ROHs to speech or language-related traits is restricted due to the absence of population-matched behaviourally defined controls and limited family-based studies. AIM This study aims to identify common ROHs in the Pakistani population, focussing on the total length and frequency of ROHs of variable sizes, shared ROHs, and their genomic distribution. SUBJECTS AND METHODS We performed homozygosity analysis (in PLINK) of 86 individuals (39 males, 47 females) with no history of speech or language-related phenotypes (controls) who had been genotyped with the Illumina Infinium QC Array-24. RESULTS ROHs of 1-<4 megabases (Mb) were frequent in unrelated individuals. We observed ROHs over 20 Mb among six individuals. Over 30 percent of the identified ROHs were shared among several individuals, indicating consanguinity's effect on the Pakistani population. CONCLUSION Our findings serve as a foundation for family-based genetic studies of consanguineous families with speech or language-related disorders to ultimately narrow the homozygosity regions of interest to identify pathogenic variants.
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Affiliation(s)
- Tahira Yasmin
- Centre for Clinical and Nutritional Chemistry, School of Chemistry, University of The Punjab, Lahore, Pakistan
| | - Erin M. Andres
- Thompson Center for Autism & Neurodevelopment, University of Missouri, Columbia, MO, USA
- Child Language Doctoral Program (CLDP), University of Kansas, Lawrence, KS, 66045, USA
| | - Komal Ashraf
- Centre for Clinical and Nutritional Chemistry, School of Chemistry, University of The Punjab, Lahore, Pakistan
| | - Muhammad Asim Raza Basra
- Centre for Clinical and Nutritional Chemistry, School of Chemistry, University of The Punjab, Lahore, Pakistan
| | - Muhammad Hashim Raza
- Child Language Doctoral Program (CLDP), University of Kansas, Lawrence, KS, 66045, USA
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Lavanchy E, Goudet J. Effect of reduced genomic representation on using runs of homozygosity for inbreeding characterization. Mol Ecol Resour 2023; 23:787-802. [PMID: 36626297 DOI: 10.1111/1755-0998.13755] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 12/22/2022] [Accepted: 01/05/2023] [Indexed: 01/11/2023]
Abstract
Genomic measures of inbreeding based on identical-by-descent (IBD) segments are increasingly used to measure inbreeding and mostly estimated on SNP arrays and whole-genome sequencing (WGS) data. However, some softwares recurrently used for their estimation assume that genomic positions which have not been genotyped are nonvariant. This might be true for WGS data, but not for reduced genomic representations and can lead to spurious IBD segments estimation. In this project, we simulated the outputs of WGS, two SNP arrays of different sizes and RAD-sequencing for three populations with different sizes and histories. We compare the results of IBD segments estimation with two softwares: runs of homozygosity (ROHs) estimated with PLINK and homozygous-by-descent (HBD) segments estimated with RZooRoH. We demonstrate that to obtain meaningful estimates of inbreeding, RZooRoH requires a SNPs density 11 times smaller compared to PLINK: ranks of inbreeding coefficients were conserved among individuals above 22 SNPs/Mb for PLINK and 2 SNPs/Mb for RZooRoH. We also show that in populations with simple demographic histories, distribution of ROHs and HBD segments are correctly estimated with both SNP arrays and WGS. PLINK correctly estimated distribution of ROHs with SNP densities above 22 SNPs/Mb, while RZooRoH correctly estimated distribution of HBD segments with SNPs densities above 11 SNPs/Mb. However, in a population with a more complex demographic history, RZooRoH resulted in better distribution of IBD segments estimation compared to PLINK even with WGS data. Consequently, we advise researchers to use either methods relying on excess homozygosity averaged across SNPs or model-based HBD segments calling methods for inbreeding estimations.
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Affiliation(s)
- Eléonore Lavanchy
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Jérôme Goudet
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
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Colbert SM, Keller MC, Agrawal A, Johnson EC. Exploring the Relationships Between Autozygosity, Educational Attainment, and Cognitive Ability in a Contemporary, Trans-Ancestral American Sample. Behav Genet 2022; 52:315-323. [PMID: 36169746 PMCID: PMC10658661 DOI: 10.1007/s10519-022-10113-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 08/14/2022] [Indexed: 11/02/2022]
Abstract
Previous studies have found significant associations between estimated autozygosity - the proportion of an individual's genome contained in homozygous segments due to distant inbreeding - and multiple traits, including educational attainment (EA) and cognitive ability. In one study, estimated autozygosity showed a stronger association with parental EA than the subject's own EA. This was likely driven by parental EA's association with mobility: more educated parents tended to migrate further from their hometown, and because of the strong correlation between ancestry and geography in the Netherlands, these individuals chose partners farther from their ancestry and therefore more different from them genetically. We examined the associations between estimated autozygosity, cognitive ability, and parental EA in a contemporary sub-sample of adolescents from the Adolescent Brain Cognitive Development Study℠ (ABCD Study®) (analytic N = 6,504). We found a negative association between autozygosity and child cognitive ability consistent with previous studies, while the associations between autozygosity and parental EA were in the expected direction of effect (with greater levels of autozygosity being associated with lower EA) but the effect sizes were significantly weaker than those estimated in previous work. We also found a lower mean level of autozygosity in the ABCD sample compared to previous autozygosity studies, which may reflect overall decreasing levels of autozygosity over generations. Variation in spousal similarities in ancestral background in the ABCD study compared to other studies may explain the pattern of associations between estimated autozygosity, EA, and cognitive ability in the current study.
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Affiliation(s)
- Sarah Mc Colbert
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA.
| | - Matthew C Keller
- Department of Psychology, University of Colorado Boulder, Boulder, CO, USA
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
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Rantala MJ, Luoto S, Borráz-León JI, Krams I. Schizophrenia: the new etiological synthesis. Neurosci Biobehav Rev 2022; 142:104894. [PMID: 36181926 DOI: 10.1016/j.neubiorev.2022.104894] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 08/25/2022] [Accepted: 09/25/2022] [Indexed: 10/31/2022]
Abstract
Schizophrenia has been an evolutionary paradox: it has high heritability, but it is associated with decreased reproductive success. The causal genetic variants underlying schizophrenia are thought to be under weak negative selection. To unravel this paradox, many evolutionary explanations have been suggested for schizophrenia. We critically discuss the constellation of evolutionary hypotheses for schizophrenia, highlighting the lack of empirical support for most existing evolutionary hypotheses-with the exception of the relatively well supported evolutionary mismatch hypothesis. It posits that evolutionarily novel features of contemporary environments, such as chronic stress, low-grade systemic inflammation, and gut dysbiosis, increase susceptibility to schizophrenia. Environmental factors such as microbial infections (e.g., Toxoplasma gondii) can better predict the onset of schizophrenia than polygenic risk scores. However, researchers have not been able to explain why only a small minority of infected people develop schizophrenia. The new etiological synthesis of schizophrenia indicates that an interaction between host genotype, microbe infection, and chronic stress causes schizophrenia, with neuroinflammation and gut dysbiosis mediating this etiological pathway. Instead of just alleviating symptoms with drugs, the parasite x genotype x stress model emphasizes that schizophrenia treatment should focus on detecting and treating possible underlying microbial infection(s), neuroinflammation, gut dysbiosis, and chronic stress.
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Affiliation(s)
- Markus J Rantala
- Department of Biology, University of Turku, FIN-20014 Turku, Finland.
| | - Severi Luoto
- School of Population Health, University of Auckland, 1023 Auckland, New Zealand
| | | | - Indrikis Krams
- Institute of Ecology and Earth Sciences, University of Tartu, 51014 Tartu, Estonia; Department of Zoology and Animal Ecology, Faculty of Biology, University of Latvia, 1004, Rīga, Latvia
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Mowry BJ, Periyasamy S. Genome‐Wide Association Studies in Schizophrenia. ELS 2022:1-14. [DOI: 10.1002/9780470015902.a0025337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
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10
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Simkin D, Papakis V, Bustos BI, Ambrosi CM, Ryan SJ, Baru V, Williams LA, Dempsey GT, McManus OB, Landers JE, Lubbe SJ, George AL, Kiskinis E. Homozygous might be hemizygous: CRISPR/Cas9 editing in iPSCs results in detrimental on-target defects that escape standard quality controls. Stem Cell Reports 2022; 17:993-1008. [PMID: 35276091 PMCID: PMC9023783 DOI: 10.1016/j.stemcr.2022.02.008] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 02/03/2022] [Accepted: 02/08/2022] [Indexed: 12/20/2022] Open
Abstract
The ability to precisely edit the genome of human induced pluripotent stem cell (iPSC) lines using CRISPR/Cas9 has enabled the development of cellular models that can address genotype to phenotype relationships. While genome editing is becoming an essential tool in iPSC-based disease modeling studies, there is no established quality control workflow for edited cells. Moreover, large on-target deletions and insertions that occur through DNA repair mechanisms have recently been uncovered in CRISPR/Cas9-edited loci. Yet the frequency of these events in human iPSCs remains unclear, as they can be difficult to detect. We examined 27 iPSC clones generated after targeting 9 loci and found that 33% had acquired large, on-target genomic defects, including insertions and loss of heterozygosity. Critically, all defects had escaped standard PCR and Sanger sequencing analysis. We describe a cost-efficient quality control strategy that successfully identified all edited clones with detrimental on-target events and could facilitate the integrity of iPSC-based studies.
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Affiliation(s)
- Dina Simkin
- The Ken & Ruth Davee Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Vasileios Papakis
- The Ken & Ruth Davee Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Bernabe I Bustos
- The Ken & Ruth Davee Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; Simpson Querrey Center of Neurogenetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | | | | | | | | | | | | | - John E Landers
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Steven J Lubbe
- The Ken & Ruth Davee Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; Simpson Querrey Center of Neurogenetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Alfred L George
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Evangelos Kiskinis
- The Ken & Ruth Davee Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; Simpson Querrey Institute, Northwestern University, Chicago, IL 60611, USA; Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
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11
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Ben-Yosef N, Frampton M, Schiff ER, Daher S, Abu Baker F, Safadi R, Israeli E, Segal AW, Levine AP. Genetic analysis of four consanguineous multiplex families with inflammatory bowel disease. Gastroenterol Rep (Oxf) 2021; 9:521-532. [PMID: 34925849 PMCID: PMC8677555 DOI: 10.1093/gastro/goab007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 11/03/2020] [Accepted: 11/26/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Family studies support a genetic predisposition to inflammatory bowel diseases (IBD), but known genetic variants only partially explain the disease heritability. Families with multiple affected individuals potentially harbour rare and high-impact causal variants. Long regions of homozygosity due to recent inbreeding may increase the risk of individuals bearing homozygous loss-of-function variants. This study aimed to identify rare and homozygous genetic variants contributing to IBD. METHODS Four families with known consanguinity and multiple cases of IBD were recruited. In a family-specific analysis, we utilised homozygosity mapping complemented by whole-exome sequencing. RESULTS We detected a single region of homozygosity shared by Crohn's disease cases from a family of Druze ancestry, spanning 2.6 Mb containing the NOD2 gene. Whole-exome sequencing did not identify any potentially damaging variants within the region, suggesting that non-coding variation may be involved. In addition, affected individuals in the families harboured several rare and potentially damaging homozygous variants in genes with a role in autophagy and innate immunity including LRRK1, WHAMM, DENND3, and C5. CONCLUSION This study examined the potential contribution of rare, high-impact homozygous variants in consanguineous families with IBD. While the analysis was not designed to achieve statistical significance, our findings highlight genes or loci that warrant further research. Non-coding variants affecting NOD2 may be of importance in Druze patients with Crohn's disease.
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Affiliation(s)
- Noam Ben-Yosef
- Centre for Molecular Medicine, Division of Medicine, University College London, London, UK
- Institute of Gastroenterology and Liver disease, Hadassah Medical Center, Jerusalem, Israel
| | - Matthew Frampton
- Centre for Molecular Medicine, Division of Medicine, University College London, London, UK
| | - Elena R Schiff
- Institute of Ophthalmology, Moorfields Eye Hospital, University College London, London, UK
| | - Saleh Daher
- Institute of Gastroenterology and Liver disease, Hadassah Medical Center, Jerusalem, Israel
| | - Fadi Abu Baker
- Institue of Gastroenterology and Hepatology, Hillel Yaffe Medical Center, Hadera, Israel
| | - Rifaat Safadi
- Institute of Gastroenterology and Liver disease, Hadassah Medical Center, Jerusalem, Israel
| | - Eran Israeli
- Institute of Gastroenterology and Liver disease, E. Wolfson Medical Center, Holon, Israel
| | - Anthony W Segal
- Centre for Molecular Medicine, Division of Medicine, University College London, London, UK
| | - Adam P Levine
- Centre for Molecular Medicine, Division of Medicine, University College London, London, UK
- Department of Pathology, University College London, London, UK
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12
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Agarwal V, Thirthalli J, Kumar CN, Christopher R, U Arunachal G, Reddy KS, Rawat VS, Gangadhar BN, Wood J, Nimgaonkar V. Parental consanguinity among patients with schizophrenia in a rural community of South India: A clinical and genetic investigation. Asian J Psychiatr 2021; 64:102814. [PMID: 34425412 DOI: 10.1016/j.ajp.2021.102814] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 07/12/2021] [Accepted: 08/10/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND Studies from certain regions of the world indicate that consanguineous marriages are a risk factor for the development of schizophrenia in offspring. However the evidence is inconsistent partly due to methodological limitation of which hospital based recruitment contributing to significant bias. The studies from the Indian subcontinent, is scarce, where rates of consanguinity is high. METHODS The schizophrenia patients living in a geographically defined rural south Indian community and randomly selected controls dwelling in the same community sharing sociocultural, economic and lifestyle factors were recruited. They were assessed for parental consanguinity using the clinical interviews as well as DNA-based estimates. The latter was conducted by calculating the coefficient of inbreeding 'f'. A participant was considered to have consanguineous parentage if his/her parents shared a common ancestor no more remote than a great-great-grandparent, corresponding to DNA-based estimates of 'f' ≥ 0.0156. RESULTS The rates of parental consanguinity assessed by clinical interview were comparable in both groups (Cases: 10.71 %, Controls: 7.25 %; χ2 = 0.493, p = 0.4825). However, DNA-based rates of parental consanguinity showed that 'f' was significantly higher among cases than controls (Mann-Whitney U = 11315.5; p = 0.022). Seventy-five cases (62.5 %) and 108 control participants (48.6 %) had 'f' ≥ 0.0156 (χ2 = 6.008; p = 0.014). The results were consistent across different quality control measures. CONCLUSION Schizophrenia is associated with higher parental consanguinity, suggesting a role for multiple recessive risk alleles in its etiology. Replication in future studies in diverse settings would add further strength to this.
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Affiliation(s)
- Vikas Agarwal
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences, Bengaluru, India
| | - Jagadisha Thirthalli
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences, Bengaluru, India.
| | | | - Rita Christopher
- Department of Neurochemistry, National Institute of Mental Health And Neuro Sciences, Bengaluru, India
| | - Gautham U Arunachal
- Department of Human Genetics, National Institute of Mental Health And Neuro Sciences, Bengaluru, India
| | - K Shanivaram Reddy
- Department of Psychiatric Social Work, National Institute of Mental Health And Neuro Sciences, Bengaluru, India
| | - Vikram Singh Rawat
- Department of Psychiatry, All India Institute of Mediacal Sciences, Rishikesh, India
| | - Bangalore N Gangadhar
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences, Bengaluru, India
| | - Joel Wood
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, Pittsburgh, USA
| | - Vishwajit Nimgaonkar
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, Pittsburgh, USA; Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA
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13
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Yengo L, Yang J, Keller MC, Goddard ME, Wray NR, Visscher PM. Genomic partitioning of inbreeding depression in humans. Am J Hum Genet 2021; 108:1488-1501. [PMID: 34214457 DOI: 10.1016/j.ajhg.2021.06.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 06/01/2021] [Indexed: 02/05/2023] Open
Abstract
Across species, offspring of related individuals often exhibit significant reduction in fitness-related traits, known as inbreeding depression (ID), yet the genetic and molecular basis for ID remains elusive. Here, we develop a method to quantify enrichment of ID within specific genomic annotations and apply it to human data. We analyzed the phenomes and genomes of ∼350,000 unrelated participants of the UK Biobank and found, on average of over 11 traits, significant enrichment of ID within genomic regions with high recombination rates (>21-fold; p < 10-5), with conserved function across species (>19-fold; p < 10-4), and within regulatory elements such as DNase I hypersensitive sites (∼5-fold; p = 8.9 × 10-7). We also quantified enrichment of ID within trait-associated regions and found suggestive evidence that genomic regions contributing to additive genetic variance in the population are enriched for ID signal. We find strong correlations between functional enrichment of SNP-based heritability and that of ID (r = 0.8, standard error: 0.1). These findings provide empirical evidence that ID is most likely due to many partially recessive deleterious alleles in low linkage disequilibrium regions of the genome. Our study suggests that functional characterization of ID may further elucidate the genetic architectures and biological mechanisms underlying complex traits and diseases.
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14
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Peng Q, Ehlers CL. Long tracks of homozygosity predict the severity of alcohol use disorders in an American Indian population. Mol Psychiatry 2021; 26:2200-2211. [PMID: 33398086 PMCID: PMC8254832 DOI: 10.1038/s41380-020-00989-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 11/30/2020] [Accepted: 12/07/2020] [Indexed: 11/20/2022]
Abstract
Runs of homozygosity (ROH) arise when an individual inherits two copies of the same haplotype segment. While ROH are ubiquitous across human populations, Native populations-with shared parental ancestry arising from isolation and endogamy-can carry a substantial enrichment for ROH. We have been investigating genetic and environmental risk factors for alcohol use disorders (AUD) in a group of American Indians (AI) who have higher rates of AUD than the general U. S. population. Here we explore whether ROH might be associated with incidence and severity of AUD in this admixed AI population (n = 742) that live on geographically contiguous reservations, using low-coverage whole genome sequences. We have found that the genomic regions in the ROH that were identified in this population had significantly elevated American Indian heritage compared with the rest of the genome. Increased ROH abundance and ROH burden are likely risk factors for AUD severity in this AI population, especially in those diagnosed with severe and moderate AUD. The association between ROH and AUD was mostly driven by ROH of moderate lengths between 1 and 2 Mb. An ROH island on chromosome 1p32.3 and a rare ROH pool on chromosome 3p12.3 were found to be significantly associated with AUD severity. They contain genes involved in lipid metabolism, oxidative stress and inflammatory responses; and OSBPL9 was found to reside on the consensus part of the ROH island. These data demonstrate that ROH are associated with risk for AUD severity in this AI population.
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Affiliation(s)
- Qian Peng
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA, 92037, USA.
| | - Cindy L Ehlers
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA, 92037, USA.
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15
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Stoffel MA, Johnston SE, Pilkington JG, Pemberton JM. Genetic architecture and lifetime dynamics of inbreeding depression in a wild mammal. Nat Commun 2021; 12:2972. [PMID: 34016997 PMCID: PMC8138023 DOI: 10.1038/s41467-021-23222-9] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 03/29/2021] [Indexed: 02/03/2023] Open
Abstract
Inbreeding depression is ubiquitous, but we still know little about its genetic architecture and precise effects in wild populations. Here, we combine long-term life-history data with 417 K imputed SNP genotypes for 5952 wild Soay sheep to explore inbreeding depression on a key fitness component, annual survival. Inbreeding manifests in long runs of homozygosity (ROH), which make up nearly half of the genome in the most inbred individuals. The ROH landscape varies widely across the genome, with islands where up to 87% and deserts where only 4% of individuals have ROH. The fitness consequences of inbreeding are severe; a 10% increase in individual inbreeding FROH is associated with a 60% reduction in the odds of survival in lambs, though inbreeding depression decreases with age. Finally, a genome-wide association scan on ROH shows that many loci with small effects and five loci with larger effects contribute to inbreeding depression in survival.
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Affiliation(s)
- M A Stoffel
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
| | - S E Johnston
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | - J G Pilkington
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | - J M Pemberton
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
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16
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Bulik CM, Thornton LM, Parker R, Kennedy H, Baker JH, MacDermod C, Guintivano J, Cleland L, Miller AL, Harper L, Larsen JT, Yilmaz Z, Grove J, Sullivan PF, Petersen LV, Jordan J, Kennedy MA, Martin NG. The Eating Disorders Genetics Initiative (EDGI): study protocol. BMC Psychiatry 2021; 21:234. [PMID: 33947359 PMCID: PMC8097919 DOI: 10.1186/s12888-021-03212-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 04/13/2021] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND The Eating Disorders Genetics Initiative (EDGI) is an international investigation exploring the role of genes and environment in anorexia nervosa, bulimia nervosa, and binge-eating disorder. METHODS A total of 14,500 individuals with eating disorders and 1500 controls will be included from the United States (US), Australia (AU), New Zealand (NZ), and Denmark (DK). In the US, AU, and NZ, participants will complete comprehensive online phenotyping and will submit a saliva sample for genotyping. In DK, individuals with eating disorders will be identified by the National Patient Register, and genotyping will occur using bloodspots archived from birth. A genome-wide association study will be conducted within EDGI and via meta-analysis with other data from the Eating Disorders Working Group of the Psychiatric Genomics Consortium (PGC-ED). DISCUSSION EDGI represents the largest genetic study of eating disorders ever to be conducted and is designed to rapidly advance the study of the genetics of the three major eating disorders (anorexia nervosa, bulimia nervosa, and binge-eating disorder). We will explicate the genetic architecture of eating disorders relative to each other and to other psychiatric and metabolic disorders and traits. Our goal is for EDGI to deliver "actionable" findings that can be transformed into clinically meaningful insights. TRIAL REGISTRATION EDGI is a registered clinical trial: clinicaltrials.gov NCT04378101 .
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Affiliation(s)
- Cynthia M. Bulik
- Department of Psychiatry, University of North Carolina at Chapel Hill, CB #7160, 101 Manning Drive, Chapel Hill, NC 27599-7160 USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, PO Box 281, SE-171 77 Stockholm, Sweden
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA
| | - Laura M. Thornton
- Department of Psychiatry, University of North Carolina at Chapel Hill, CB #7160, 101 Manning Drive, Chapel Hill, NC 27599-7160 USA
| | - Richard Parker
- QIMR Berghofer Medical Research Institute, Locked Bag 2000, Royal Brisbane Hospital, Herston, QLD 4029 Australia
| | - Hannah Kennedy
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Jessica H. Baker
- Department of Psychiatry, University of North Carolina at Chapel Hill, CB #7160, 101 Manning Drive, Chapel Hill, NC 27599-7160 USA
| | - Casey MacDermod
- Department of Psychiatry, University of North Carolina at Chapel Hill, CB #7160, 101 Manning Drive, Chapel Hill, NC 27599-7160 USA
| | - Jerry Guintivano
- Department of Psychiatry, University of North Carolina at Chapel Hill, CB #7160, 101 Manning Drive, Chapel Hill, NC 27599-7160 USA
| | - Lana Cleland
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Allison L. Miller
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Lauren Harper
- Department of Psychiatry, University of North Carolina at Chapel Hill, CB #7160, 101 Manning Drive, Chapel Hill, NC 27599-7160 USA
| | - Janne T. Larsen
- National Centre for Register-based Research, Aarhus BSS, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
| | - Zeynep Yilmaz
- National Centre for Register-based Research, Aarhus BSS, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
| | - Jakob Grove
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, CGPM, and Center for Integrative Sequencing, iSEQ, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Patrick F. Sullivan
- Department of Psychiatry, University of North Carolina at Chapel Hill, CB #7160, 101 Manning Drive, Chapel Hill, NC 27599-7160 USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, PO Box 281, SE-171 77 Stockholm, Sweden
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA
| | - Liselotte V. Petersen
- National Centre for Register-based Research, Aarhus BSS, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
| | - Jennifer Jordan
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Martin A. Kennedy
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Nicholas G. Martin
- QIMR Berghofer Medical Research Institute, Locked Bag 2000, Royal Brisbane Hospital, Herston, QLD 4029 Australia
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17
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Fang Y, Hao X, Xu Z, Sun H, Zhao Q, Cao R, Zhang Z, Ma P, Sun Y, Qi Z, Wei Q, Wang Q, Pan Y. Genome-Wide Detection of Runs of Homozygosity in Laiwu Pigs Revealed by Sequencing Data. Front Genet 2021; 12:629966. [PMID: 33995477 PMCID: PMC8116706 DOI: 10.3389/fgene.2021.629966] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 03/08/2021] [Indexed: 11/13/2022] Open
Abstract
Laiwu pigs, distinguished by their high intramuscular fat of 7-9%, is an indigenous pig breed of China, and recent studies also found that Laiwu pigs showed high resistance to Porcine circovirus type 2. However, with the introduction of commercial varieties, the population of Laiwu pigs has declined, and some lineages have disappeared, which could result in inbreeding. Runs of homozygosity (ROH) can be used as a good measure of individual inbreeding status and is also normally used to detect selection signatures so as to map the candidate genes associated with economically important traits. In this study, we used data from Genotyping by Genome Reducing and Sequencing to investigate the number, length, coverage, and distribution patterns of ROH in 93 Chinese Laiwu pigs and identified genomic regions with a high ROH frequency. The average inbreeding coefficient calculated by pedigree was 0.021, whereas that estimated by all detected ROH segments was 0.133. Covering 13.4% of the whole genome, a total of 7,508 ROH segments longer than 1 Mb were detected, whose average length was 3.76 Mb, and short segments (1-5 Mb) dominated. For individuals, the coverage was in the range between 0.56 and 36.86%. For chromosomes, SSC6 had the largest number (n = 688), and the number of ROH in SSC12 was the lowest (n = 215). Thirteen ROH islands were detected in our study, and 86 genes were found within those regions. Some of these genes were correlated with economically important traits, such as meat quality (ECI1, LRP12, NDUFA4L2, GIL1, and LYZ), immunity capacity (IL23A, STAT2, STAT6, TBK1, IFNG, and ITH2), production (DCSTAMP, RDH16, and GDF11), and reproduction (ODF1 and CDK2). A total of six significant Gene Ontology terms and nine significant Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were identified, most of which were correlated with disease resistance and biosynthesis processes, and one KEGG pathway was related to lipid metabolism. In addition, we aligned all of the ROH islands to the pig quantitative trait loci (QTL) database and finally found eight QTL related to the intramuscular fat trait. These results may help us understand the characteristics of Laiwu pigs and provide insight for future breeding strategies.
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Affiliation(s)
- Yifei Fang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Xinyu Hao
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Zhong Xu
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Hao Sun
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Qingbo Zhao
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Rui Cao
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | - Zhe Zhang
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Peipei Ma
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China
| | | | | | | | - Qishan Wang
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Yuchun Pan
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
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18
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Abstract
Dogs and humans have coexisted together for thousands of years, but it was not until the Victorian Era that humans practiced selective breeding to produce the modern standards we see today. Strong artificial selection during the breed formation period has simplified the genetic architecture of complex traits and caused an enrichment of identity-by-descent (IBD) segments in the dog genome. This study demonstrates the value of IBD segments and utilizes them to infer the recent demography of canids, predict case-control status for complex traits, locate regions of the genome potentially linked to inbreeding depression, and to identify understudied breeds where there is potential to discover new disease-associated variants. Domestic dogs have experienced population bottlenecks, recent inbreeding, and strong artificial selection. These processes have simplified the genetic architecture of complex traits, allowed deleterious variation to persist, and increased both identity-by-descent (IBD) segments and runs of homozygosity (ROH). As such, dogs provide an excellent model for examining how these evolutionary processes influence disease. We assembled a dataset containing 4,414 breed dogs, 327 village dogs, and 380 wolves genotyped at 117,288 markers and data for clinical and morphological phenotypes. Breed dogs have an enrichment of IBD and ROH, relative to both village dogs and wolves, and we use these patterns to show that breed dogs have experienced differing severities of bottlenecks in their recent past. We then found that ROH burden is associated with phenotypes in breed dogs, such as lymphoma. We next test the prediction that breeds with greater ROH have more disease alleles reported in the Online Mendelian Inheritance in Animals (OMIA). Surprisingly, the number of causal variants identified correlates with the popularity of that breed rather than the ROH or IBD burden, suggesting an ascertainment bias in OMIA. Lastly, we use the distribution of ROH across the genome to identify genes with depletions of ROH as potential hotspots for inbreeding depression and find multiple exons where ROH are never observed. Our results suggest that inbreeding has played a large role in shaping genetic and phenotypic variation in dogs and that future work on understudied breeds may reveal new disease-causing variation.
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19
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Mezzavilla M, Navarra CO, Di Lenarda R, Gasparini P, Bevilacqua L, Robino A. Runs of homozygosity are associated with staging of periodontitis in isolated populations. Hum Mol Genet 2021; 30:1154-1159. [PMID: 33772543 DOI: 10.1093/hmg/ddab085] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 03/09/2021] [Accepted: 03/19/2021] [Indexed: 11/12/2022] Open
Abstract
Periodontitis is a common inflammatory disease characterized by a complex etiology, which is the result of a combination of genetic and environmental factors. Genetic variants linked to the periodontitis disease were already investigated, however, little was known regarding the severity of this disease. Recently, long runs of homozygosity (ROH) were associated with several multifactorial diseases. Therefore, in our work, we tried to assess the role of ROH and periodontitis status. We found an association between the excess of homozygosity owing to ROH and staging of periodontitis. More in detail, the total amount of homozygosity owing to ROH is positively associated with an increased severity of periodontitis (P = 0.0001). Regression tree analysis showed the impact of ROH burden in discriminating individuals with mild periodontitis stages I and II and periodontitis stages III and IV (P < 0.001). Furthermore, ROH mapping highlights several regions associated with a severe status of periodontitis (odds ratio > 1). Among them, we found a total of 33 genes. Interestingly, some of these genes were previously associated with granulocyte or platelet measures, both linked to the onset and the progression of periodontal disease. Our results suggest the not only single variants association test could help to risk assessment but even individual genomic features; furthermore, our ROH mapping highlighted the possible role of multiple genes in periodontal development.
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Affiliation(s)
- Massimo Mezzavilla
- Institute for Maternal and Child Health - IRCCS 'Burlo Garofolo', Trieste 34137, Italy
| | | | - Roberto Di Lenarda
- Department of Surgical, Medical and Health Sciences, University of Trieste, Trieste 34149, Italy
| | - Paolo Gasparini
- Institute for Maternal and Child Health - IRCCS 'Burlo Garofolo', Trieste 34137, Italy.,Department of Surgical, Medical and Health Sciences, University of Trieste, Trieste 34149, Italy
| | - Lorenzo Bevilacqua
- Department of Surgical, Medical and Health Sciences, University of Trieste, Trieste 34149, Italy
| | - Antonietta Robino
- Institute for Maternal and Child Health - IRCCS 'Burlo Garofolo', Trieste 34137, Italy
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20
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Fieder M, Mitchell BL, Gordon S, Huber S, Martin NG. Ethnic Identity and Genome Wide Runs of Homozygosity. Behav Genet 2021; 51:405-413. [PMID: 33723681 PMCID: PMC8225526 DOI: 10.1007/s10519-021-10053-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 02/23/2021] [Indexed: 10/25/2022]
Abstract
It is long known that inbreeding increases the detrimental effects of recessive sequence variants in "Runs of Homozygosity" (ROHs). However, although the phenotypic association of ROH has been investigated for a variety of traits, the statistical power of the results often remains limited as a sufficiently high number of cases are available for only a restricted number of traits. In the present study, we aim to analyze the association of runs of homozygosity with the trait "in-group ethnic favoritism". This analysis assumes that if ethnic identity is important for an individual, that individual may tend to marry more frequently within their own group and therefore ROH are expected to increase. We hypothesize that an attitude preferring one's own ethnic group may be associated with a stronger tendency of inbreeding and, as a result, with more and longer ROHs. Accordingly, we investigated the association between the attitude to someone's own ethnicity and ROH, using the Wisconsin Longitudinal data (WLS, total N ~ 9000) as discovery data set and the Brisbane Twin data as replication data set (N ~ 8000). We find that both the number as well as the total length of homozygous segments are significantly positively associated with "in-group ethnic favoritism", independent of the method used for ROH calculation.
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Affiliation(s)
- Martin Fieder
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria. .,Research Centre of Religion and Transformation in Contemporary Society, University of Vienna, Vienna, Austria.
| | - Brittany L Mitchell
- QIMR Berghofer Medical Research Institute, Brisbane, Australia.,Faculty of Health, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, Australia
| | - Scott Gordon
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Susanne Huber
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
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21
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Sumreddee P, Toghiani S, Hay EH, Roberts A, Aggrey SE, Rekaya R. Runs of homozygosity and analysis of inbreeding depression. J Anim Sci 2021; 98:5979489. [PMID: 33180906 DOI: 10.1093/jas/skaa361] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 11/07/2020] [Indexed: 01/24/2023] Open
Abstract
Pedigree information was traditionally used to assess inbreeding. The availability of high-density marker panels provides an alternative to assess inbreeding, particularly in the presence of incomplete and error-prone pedigrees. Assessment of autozygosity across chromosomal segments using runs of homozygosity (ROH) has emerged as a valuable tool to estimate inbreeding due to its general flexibility and ability to quantify the chromosomal contribution to genome-wide inbreeding. Unfortunately, the identification of ROH segments is sensitive to the parameters used during the search process. These parameters are heuristically set, leading to significant variation in the results. The minimum length required to identify an ROH segment has major effects on the estimation of inbreeding and inbreeding depression, yet it is arbitrarily set. To overcome this limitation, a search algorithm to approximate mutation enrichment was developed to determine the minimum length of ROH segments. It consists of finding genome segments with significant effect differences in trait means between animals with high and low burdens of autozygous intervals with a specific length. The minimum length could be determined heuristically as the smallest interval at which a significant signal is detected. The proposed method was tested in an inbred Hereford cattle population genotyped for 30,220 SNPs. Phenotypes recorded for six traits were used for the approximation of mutation loads. The estimated minimum length was around 1 Mb for yearling weight (YW) and average daily gain (ADG) and 4 Mb for birth weight and weaning weight. These trait-specific thresholds estimated using the proposed method could be attributed to a trait-dependent effect of homozygosity. The detection of significant inbreeding effects was well aligned with the estimated thresholds, especially for YW and ADG. Although highly deleterious alleles are expected to be more frequent in recent inbreeding (long ROH), short ROH segments (<5 Mb) could contain a large number of less deleterious mutations with substantial joint effects on some traits (YW and ADG). Our results highlight the importance of accurate estimation of the ROH-based inbreeding and the necessity to consider a trait-specific minimum length threshold for the identification of ROH segments in inbreeding depression analyses. These thresholds could be determined using the proposed method provided the availability of phenotypic information.
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Affiliation(s)
| | - Sajjad Toghiani
- Beltsville Agricultural Research Center, USDA Agricultural Research Service, Beltsville, MD
| | - El Hamidi Hay
- Fort Keogh Livestock and Range Research Laboratory, USDA Agricultural Research Service, Miles City, MT
| | - Andrew Roberts
- Fort Keogh Livestock and Range Research Laboratory, USDA Agricultural Research Service, Miles City, MT
| | - Samuel E Aggrey
- Department of Poultry Science, University of Georgia, Athens, GA.,Institute of Bioinformatics, University of Georgia, Athens, GA
| | - Romdhane Rekaya
- Department of Animal and Dairy Science, University of Georgia, Athens, GA.,Institute of Bioinformatics, University of Georgia, Athens, GA.,Department of Statistics, University of Georgia, Athens, GA
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22
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Napolioni V, Scelsi MA, Khan RR, Altmann A, Greicius MD. Recent Consanguinity and Outbred Autozygosity Are Associated With Increased Risk of Late-Onset Alzheimer's Disease. Front Genet 2021; 11:629373. [PMID: 33584820 PMCID: PMC7879576 DOI: 10.3389/fgene.2020.629373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 12/31/2020] [Indexed: 11/13/2022] Open
Abstract
Prior work in late-onset Alzheimer's disease (LOAD) has resulted in discrepant findings as to whether recent consanguinity and outbred autozygosity are associated with LOAD risk. In the current study, we tested the association between consanguinity and outbred autozygosity with LOAD in the largest such analysis to date, in which 20 LOAD GWAS datasets were retrieved through public databases. Our analyses were restricted to eight distinct ethnic groups: African-Caribbean, Ashkenazi-Jewish European, European-Caribbean, French-Canadian, Finnish European, North-Western European, South-Eastern European, and Yoruba African for a total of 21,492 unrelated subjects (11,196 LOAD and 10,296 controls). Recent consanguinity determination was performed using FSuite v1.0.3, according to subjects' ancestral background. The level of autozygosity in the outbred population was assessed by calculating inbreeding estimates based on the proportion (FROH) and the number (NROH) of runs of homozygosity (ROHs). We analyzed all eight ethnic groups using a fixed-effect meta-analysis, which showed a significant association of recent consanguinity with LOAD (N = 21,481; OR = 1.262, P = 3.6 × 10-4), independently of APOE ∗4 (N = 21,468, OR = 1.237, P = 0.002), and years of education (N = 9,257; OR = 1.274, P = 0.020). Autozygosity in the outbred population was also associated with an increased risk of LOAD, both for F ROH (N = 20,237; OR = 1.204, P = 0.030) and N ROH metrics (N = 20,237; OR = 1.019, P = 0.006), independently of APOE ∗4 [(F ROH, N = 20,225; OR = 1.222, P = 0.029) (N ROH, N = 20,225; OR = 1.019, P = 0.007)]. By leveraging the Alzheimer's Disease Sequencing Project (ADSP) whole-exome sequencing (WES) data, we determined that LOAD subjects do not show an enrichment of rare, risk-enhancing minor homozygote variants compared to the control population. A two-stage recessive GWAS using ADSP data from 201 consanguineous subjects in the discovery phase followed by validation in 10,469 subjects led to the identification of RPH3AL p.A303V (rs117190076) as a rare minor homozygote variant increasing the risk of LOAD [discovery: Genotype Relative Risk (GRR) = 46, P = 2.16 × 10-6; validation: GRR = 1.9, P = 8.0 × 10-4]. These results confirm that recent consanguinity and autozygosity in the outbred population increase risk for LOAD. Subsequent work, with increased samples sizes of consanguineous subjects, should accelerate the discovery of non-additive genetic effects in LOAD.
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Affiliation(s)
- Valerio Napolioni
- Genomic and Molecular Epidemiology (GAME) Lab, School of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy
| | - Marzia A. Scelsi
- Computational Biology in Imaging and Genetics (COMBINE) Lab, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Raiyan R. Khan
- Department of Computer Science, Columbia University, New York, NY, United States
| | - Andre Altmann
- Computational Biology in Imaging and Genetics (COMBINE) Lab, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Michael D. Greicius
- Functional Imaging in Neuropsychiatric Disorders (FIND) Lab, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
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Pavan S, Delvento C, Mazzeo R, Ricciardi F, Losciale P, Gaeta L, D'Agostino N, Taranto F, Sánchez-Pérez R, Ricciardi L, Lotti C. Almond diversity and homozygosity define structure, kinship, inbreeding, and linkage disequilibrium in cultivated germplasm, and reveal genomic associations with nut and seed weight. HORTICULTURE RESEARCH 2021; 8:15. [PMID: 33423037 PMCID: PMC7797004 DOI: 10.1038/s41438-020-00447-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 11/04/2020] [Accepted: 11/13/2020] [Indexed: 05/04/2023]
Abstract
Almond [Prunus dulcis Miller (D.A. Webb)] is the main tree nut species worldwide. Here, genotyping-by-sequencing (GBS) was applied to 149 almond cultivars from the ex situ collections of the Italian Council for Agricultural Research (CREA) and the Spanish National Research Council (CSIC), leading to the detection of 93,119 single-nucleotide polymorphisms (SNPs). The study of population structure outlined four distinct genetic groups and highlighted diversification between the Mediterranean and Californian gene pools. Data on SNP diversity and runs of homozygosity (ROHs) allowed the definition of kinship, inbreeding, and linkage disequilibrium (LD) decay in almond cultivated germplasm. Four-year phenotypic observations, gathered on 98 cultivars of the CREA collection, were used to perform a genome-wide association study (GWAS) and, for the first time in a crop species, homozygosity mapping (HM), resulting in the identification of genomic associations with nut, shell, and seed weight. Both GWAS and HM suggested that loci controlling nut and seed weight are mostly independent. Overall, this study provides insights on the almond cultivation history and delivers information of major interest for almond genetics and breeding. In a broader perspective, our results encourage the use of ROHs in crop science to estimate inbreeding, choose parental combinations minimizing the risk of inbreeding depression, and identify genomic footprints of selection for specific traits.
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Affiliation(s)
- Stefano Pavan
- Department of Soil, Plant and Food Science, University of Bari Aldo Moro, Via Amendola 165/A, Bari, 70126, Italy.
- Institute of Biomedical Technologies, National Research Council (CNR), Via Amendola 122/D, Bari, 70126, Italy.
| | - Chiara Delvento
- Department of Soil, Plant and Food Science, University of Bari Aldo Moro, Via Amendola 165/A, Bari, 70126, Italy
| | - Rosa Mazzeo
- Department of the Sciences of Agriculture, Food and Environment, University of Foggia, Via Napoli 25, Foggia, 71100, Italy
| | - Francesca Ricciardi
- Department of the Sciences of Agriculture, Food and Environment, University of Foggia, Via Napoli 25, Foggia, 71100, Italy
| | - Pasquale Losciale
- Department of Soil, Plant and Food Science, University of Bari Aldo Moro, Via Amendola 165/A, Bari, 70126, Italy
| | - Liliana Gaeta
- Council for Agricultural Research and Economics-Research Centre for Agriculture and Environment (CREA-AA), Bari, 70125, Italy
| | - Nunzio D'Agostino
- Department of Agricultural Sciences, University of Naples Federico II, Portici, 80055, Italy
| | - Francesca Taranto
- Institute of Biosciences and Bioresources, National Research Council of Italy, Portici, 80055, Italy
| | | | - Luigi Ricciardi
- Department of Soil, Plant and Food Science, University of Bari Aldo Moro, Via Amendola 165/A, Bari, 70126, Italy
| | - Concetta Lotti
- Department of the Sciences of Agriculture, Food and Environment, University of Foggia, Via Napoli 25, Foggia, 71100, Italy.
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Naseri A, Zhi D, Zhang S. Discovery of runs-of-homozygosity diplotype clusters and their associations with diseases in UK Biobank. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020:2020.10.26.20220004. [PMID: 33140058 PMCID: PMC7605569 DOI: 10.1101/2020.10.26.20220004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Runs of homozygosity (ROH) segments, contiguous homozygous regions in a genome were traditionally linked to families and inbred populations. However, a growing literature suggests that ROHs are ubiquitous in outbred populations. Still, most existing genetic studies of ROH in populations are limited to aggregated ROH content across the genome, which does not offer the resolution for mapping causal loci. This limitation is mainly due to a lack of methods for efficient identification of shared ROH diplotypes. Here, we present a new method, ROH-DICE, to find large ROH diplotype clusters, sufficiently long ROHs shared by a sufficient number of individuals, in large cohorts. ROH-DICE identified over 1 million ROH diplotypes that span over 100 SNPs and shared by more than 100 UK Biobank participants. Moreover, we found significant associations of clustered ROH diplotypes across the genome with various self-reported diseases, with the strongest associations found between the extended HLA region and autoimmune disorders. We found an association between a diplotype covering the HFE gene and haemochromatosis, even though the well-known causal SNP was not directly genotyped nor imputed. Using genome-wide scan, we identified a putative association between carriers of an ROH diplotype in chromosome 4 and an increase of mortality among COVID-19 patients. In summary, our ROH-DICE method, by calling out large ROH diplotypes in a large outbred population, enables further population genetics into the demographic history of large populations. More importantly, our method enables a new genome-wide mapping approach for finding disease-causing loci with multi-marker recessive effects at population scale.
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Affiliation(s)
- Ardalan Naseri
- Department of Computer Science, University of Central Florida, Orlando, Florida 32816, USA
| | - Degui Zhi
- Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas 77030, USA
| | - Shaojie Zhang
- Department of Computer Science, University of Central Florida, Orlando, Florida 32816, USA
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He J, Wu XL, Zeng Q, Li H, Ma H, Jiang J, Rosa GJM, Gianola D, Tait Jr. RG, Bauck S. Genomic mating as sustainable breeding for Chinese indigenous Ningxiang pigs. PLoS One 2020; 15:e0236629. [PMID: 32797113 PMCID: PMC7428355 DOI: 10.1371/journal.pone.0236629] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 07/10/2020] [Indexed: 11/18/2022] Open
Abstract
An important economic reason for the loss of local breeds is that they tend to be less productive, and hence having less market value than commercial breeds. Nevertheless, local breeds often have irreplaceable values, genetically and sociologically. In the breeding programs with local breeds, it is crucial to balance the selection for genetic gain and the maintaining of genetic diversity. These two objectives are often conflicting, and finding the optimal point of the trade-off has been a challenge for breeders. Genomic selection (GS) provides a revolutionary tool for the genetic improvement of farm animals. At the same time, it can increase inbreeding and produce a more rapid depletion of genetic variability of the selected traits in future generations. Optimum-contribution selection (OCS) represents an approach to maximize genetic gain while constraining inbreeding within a targeted range. In the present study, 515 Ningxiang pigs were genotyped with the Illumina Porcine SNP60 array or the GeneSeek Genomic Profiler Porcine 50K array. The Ningxiang pigs were found to be highly inbred at the genomic level. Average locus-wise inbreeding coefficients were 0.41 and 0.37 for the two SNP arrays used, whereas genomic inbreeding coefficients based on runs of homozygosity were 0.24 and 0.25, respectively. Simulated phenotypic data were used to assess the utility of genomic OCS (GOCS) in comparison with GS without inbreeding control. GOCS was conducted under two scenarios, selecting sires only (GOCS_S) or selecting sires and dams (GOCS_SD), while kinships were constrained on selected parents. The genetic gain for average daily body weight gain (ADG) per generation was between 18.99 and 20.55 g with GOCS_S, and between 23.20 and 28.92 with GOCS_SD, and it varied from 25.38 to 48.38 g under GS without controlling inbreeding. While the rate of genetic gain per generation obtained using GS was substantially larger than that obtained by the two scenarios of genomic OCS in the beginning generations of selection, the difference in the genetic gain of ADG between GS and GOCS reduced quickly in latter generations. At generation ten, the difference in the realized rates of genetic gain between GS and GOCS_SD diminished and ended up with even a slightly higher genetic gain with GOCS_SD, due to the rapid loss of genetic variance with GS and fixation of causative genes. The rate of inbreeding was mostly maintained below 5% per generation with genomic OCS, whereas it increased to between 10.5% and 15.3% per generation with GS. Therefore, genomic OCS appears to be a sustainable strategy for the genetic improvement of local breeds such as Ningxiang pigs, but keeping mind that a variety of GOCS methods exist and the optimal forms remain to be exploited further.
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Affiliation(s)
- Jun He
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China
| | - Xiao-Lin Wu
- Biostatistics and Bioinformatics, Neogen GeneSeek, Lincoln, NE, United States of America
- Department of Animal Sciences, University of Wisconsin, Madison, WI, United States of America
- * E-mail:
| | - Qinghua Zeng
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China
- Ningxiang Pig Farm of Dalong Livestock Technology Co., Ltd., Ningxiang, Hunan, China
| | - Hao Li
- Biostatistics and Bioinformatics, Neogen GeneSeek, Lincoln, NE, United States of America
| | - Haiming Ma
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China
| | - Juan Jiang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan, China
| | - Guilherme J. M. Rosa
- Department of Animal Sciences, University of Wisconsin, Madison, WI, United States of America
| | - Daniel Gianola
- Department of Animal Sciences, University of Wisconsin, Madison, WI, United States of America
| | - Richard G. Tait Jr.
- Biostatistics and Bioinformatics, Neogen GeneSeek, Lincoln, NE, United States of America
| | - Stewart Bauck
- Biostatistics and Bioinformatics, Neogen GeneSeek, Lincoln, NE, United States of America
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26
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Eydivandi S, Sahana G, Momen M, Moradi MH, Schönherz AA. Genetic diversity in Iranian indigenous sheep vis-à-vis selected exogenous sheep breeds and wild mouflon. Anim Genet 2020; 51:772-787. [PMID: 32729152 DOI: 10.1111/age.12985] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 06/09/2020] [Accepted: 06/22/2020] [Indexed: 11/29/2022]
Abstract
The heterogeneity of climate and different agro-ecological conditions in Iran have resulted in development of 27 indigenous sheep breeds. Wild Asiatic mouflon (Ovis orientalis) is believed to be the ancestor of Iranian sheep. Evaluation of genetic diversity and population structure within and among domestic breeds has important implications for animal breeding programs and genetic resources management. Based on 50K SNP genotype data, we studied the genetic diversity of five indigenous Iranian sheep breeds: Afshari (n = 37), Moghani (n = 34), Qezel (n = 35), Zel (n = 46) and Lori-Bakhtiari (n = 46), and Asiatic mouflon (n = 8) sampled from Iran. Furthermore, genetic diversity and the breed admixture of Iranian sheep were assessed on a larger geographic scale using a reference panel comprising: three indigenous Afghan breeds - Arabi (n = 15), Balouchi (n = 15) and Gadik (n = 15); three indigenous breeds from Turkey and Cyprus - Cyprus Fat Tail (n = 30), Karakas (n = 18) and Norduz (n = 20); and three commercial European breeds - Suffolk (n = 19), Comisana (n = 24) and Engadine Red Sheep (n = 24). The results revealed that the investigated breeds are divided into five genetically distinct clusters according to their geographic origin. Afshari was closest to the local mouflon population and showed signs of mouflon admixture. Qezel was identified as a hybrid sheep breed. Much evidence supported the Afghan breeds being identical. Inbreeding values, which were estimated based on ROHs, were highest for Suffolk (FROH = 0.0544) and lowest for Balouchi (FROH = 0.0078). In conclusion, analysis of selected breeds from neighboring countries along with Asiatic mouflon gave a deeper insight into the evolutionary history and origin of Iranian sheep with important implications for future breed management.
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Affiliation(s)
- S Eydivandi
- Department of Animal Science, Behbahan Branch, Islamic Azad University, Behbahan, 63617-13198, Iran.,Faculty of Technical Sciences, Center for Quantitative Genetics and Genomics, Aarhus University, Tjele, 8830, Denmark
| | - G Sahana
- Faculty of Technical Sciences, Center for Quantitative Genetics and Genomics, Aarhus University, Tjele, 8830, Denmark
| | - M Momen
- Department of Surgical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - M H Moradi
- Department of Animal Science, Faculty of Agriculture and Natural Resources, Arak University, Arak, Iran
| | - A A Schönherz
- Faculty of Technical Sciences, Center for Quantitative Genetics and Genomics, Aarhus University, Tjele, 8830, Denmark
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Fu J, Shen S, Cheng J, Lv H, Fu J. A case of Usher syndrome type IIA caused by a rare USH2A homozygous frameshift variant with maternal uniparental disomy (UPD) in a Chinese family. J Cell Mol Med 2020; 24:7743-7750. [PMID: 32449591 PMCID: PMC7348175 DOI: 10.1111/jcmm.15405] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Revised: 04/29/2020] [Accepted: 05/03/2020] [Indexed: 12/29/2022] Open
Abstract
Usher syndrome encompasses a group of genetically and clinically heterogeneous autosomal recessive disorders with hearing deficiencies and retinitis pigmentosa. The mechanisms underlying the Usher syndrome are highly variable. In the present study, a Chinese family with Usher syndrome was recruited. Whole exome sequencing (WES), Sanger sequencing, homozygosity mapping, short tandem repeat (STR) analysis and segregation analysis were performed. Functional domains of the pathogenic variant for USH2A were analysed. We identified a homozygous frameshift variant c.99_100insT (p.Arg34Serfs*41) in the USH2A gene in the proband that showed discordant segregation in the father. Further homozygosity mapping and STR analysis identified an unusual homozygous variant of proband that originated from maternal uniparental disomy (UPD). The p.Arg34Serfs*41 variant produced a predicted truncated protein that removes all functional domains of USH2A. The variant was not included in the 1000 Human Genomes Project database, ExAC database, HGMD or gnomAD database, but was included in the ClinVar databases as pathogenic. Although USH2A is an autosomal recessive disease, the effects of UPD should be informed in genetic counselling since the recurrence risk of an affected child is greatly reduced when the disease is due to the UPD mechanism. To test potential patients, WES, combined with STR analysis and homozygosity mapping, provides an accurate and useful strategy for genetic diagnosis. In summary, our discoveries can help further the understanding of the molecular pathogenesis of Usher syndrome type IIA to advance the prevention, diagnosis and therapy for this disorder.
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Affiliation(s)
- Jiewen Fu
- Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, China
| | - Shiyi Shen
- Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, China
| | - Jingliang Cheng
- Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, China
| | - Hongbin Lv
- Department of Ophthalmology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Junjiang Fu
- Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, China
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28
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McClain L, Mansour H, Ibrahim I, Klei L, Fathi W, Wood J, Kodavali C, Maysterchuk A, Wood S, El-Chennawi F, Ibrahim N, Eissa A, El-Bahaei W, El Sayed H, Yassein A, Tobar S, El-Boraie H, El-Sheshtawy E, Salah H, Ali A, Erdin S, Devlin B, Talkowski M, Nimgaonkar V. Age dependent association of inbreeding with risk for schizophrenia in Egypt. Schizophr Res 2020; 216:450-459. [PMID: 31928911 PMCID: PMC8054776 DOI: 10.1016/j.schres.2019.10.039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 10/13/2019] [Accepted: 10/14/2019] [Indexed: 12/27/2022]
Abstract
BACKGROUND Self-reported consanguinity is associated with risk for schizophrenia (SZ) in several inbred populations, but estimates using DNA-based coefficients of inbreeding are unavailable. Further, it is not known whether recessively inherited risk mutations can be identified through homozygosity by descent (HBD) mapping. METHODS We studied self-reported and DNA-based estimates of inbreeding among Egyptian patients with SZ (n = 421, DSM IV criteria) and adult controls without psychosis (n = 301), who were evaluated using semi-structured diagnostic interview schedules and genotyped using the Illumina Infinium PsychArray. Following quality control checks, coefficients of inbreeding (F) and regions of homozygosity (ROH) were estimated using PLINK software for HBD analysis. Exome sequencing was conducted in selected cases. RESULTS Inbreeding was associated with schizophrenia based on self-reported consanguinity (χ2 = 4.506, 1 df, p = 0.034) and DNA-based estimates for inbreeding (F); the latter with a significant F × age interaction (β = 32.34, p = 0.0047). The association was most notable among patients older than age 40 years. Eleven ROH were over-represented in cases on chromosomes 1, 3, 6, 11, and 14; all but one region is novel for schizophrenia risk. Exome sequencing identified six recessively-acting genes in ROH with loss-of-function variants; one of which causes primary hereditary microcephaly. CONCLUSIONS We propose consanguinity as an age-dependent risk factor for SZ in Egypt. HBD mapping is feasible for SZ in adequately powered samples.
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Affiliation(s)
- Lora McClain
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, Pittsburgh, PA, USA
| | - Hader Mansour
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, Pittsburgh, PA, USA; Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Ibtihal Ibrahim
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Lambertus Klei
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, Pittsburgh, PA, USA
| | - Warda Fathi
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Joel Wood
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, Pittsburgh, PA, USA
| | - Chowdari Kodavali
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, Pittsburgh, PA, USA
| | - Alina Maysterchuk
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, Pittsburgh, PA, USA
| | - Shawn Wood
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, Pittsburgh, PA, USA
| | - Farha El-Chennawi
- Department of Clinical Pathology, Mansoura University School of Medicine, Mansoura, Egypt
| | - Nahed Ibrahim
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, Pittsburgh, PA, USA
| | - Ahmed Eissa
- Department of Psychiatry and Neuropsychiatry, Port Said University, Port Said, Egypt
| | - Wafaa El-Bahaei
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Hanan El Sayed
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Amal Yassein
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Salwa Tobar
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Hala El-Boraie
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Eman El-Sheshtawy
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Hala Salah
- Department of Psychiatry, Mansoura University School of Medicine, Mansoura, Egypt
| | - Ahmed Ali
- Department of Clinical Pathology, Mansoura University Student Hospital, Mansoura, Egypt
| | - Serkan Erdin
- Center for Genomic Medicine, Department of Neurology, Massachusetts General Hospital Research Institute, Harvard Medical School, Boston, MA, USA
| | - Bernie Devlin
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, Pittsburgh, PA, USA
| | - Michael Talkowski
- Center for Genomic Medicine, Department of Neurology, Massachusetts General Hospital Research Institute, Harvard Medical School, Boston, MA, USA
| | - Vishwajit Nimgaonkar
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Hospital, Pittsburgh, PA, USA; Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
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29
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Magi A, Giangregorio T, Semeraro R, Carangelo G, Palombo F, Romeo G, Seri M, Pippucci T. AUDACITY: A comprehensive approach for the detection and classification of Runs of Homozygosity in medical and population genomics. Comput Struct Biotechnol J 2020; 18:1956-1967. [PMID: 32774790 PMCID: PMC7394861 DOI: 10.1016/j.csbj.2020.07.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 06/30/2020] [Accepted: 07/02/2020] [Indexed: 11/17/2022] Open
Abstract
Runs of Homozygosity (RoHs) are popular among geneticists as the footprint of demographic processes, evolutionary forces and inbreeding in shaping our genome, and are known to confer risk of Mendelian and complex diseases. Notwithstanding growing interest in their study, there is unmet need for reliable and rapid methods for genomic analyses in large data sets. AUDACITY is a tool integrating novel RoH detection algorithm and autozygosity prediction score for prioritization of mutation-surrounding regions. It processes data in VCF file format, and outperforms existing methods in identifying RoHs of any size. Simulations and analysis of real exomes/genomes show its potential to foster future RoH studies in medical and population genomics.
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Affiliation(s)
- Alberto Magi
- Department of Information Engineering, University of Florence, Florence, Italy
- Corresponding authors.
| | - Tania Giangregorio
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Roberto Semeraro
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Giulia Carangelo
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Flavia Palombo
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Giovanni Romeo
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Marco Seri
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
- Medical Genetics Unit, Sant’Orsola-Malpighi University Hospital, Bologna, Italy
| | - Tommaso Pippucci
- Medical Genetics Unit, Sant’Orsola-Malpighi University Hospital, Bologna, Italy
- Corresponding authors.
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30
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Szpiech ZA, Mak ACY, White MJ, Hu D, Eng C, Burchard EG, Hernandez RD. Ancestry-Dependent Enrichment of Deleterious Homozygotes in Runs of Homozygosity. Am J Hum Genet 2019; 105:747-762. [PMID: 31543216 PMCID: PMC6817522 DOI: 10.1016/j.ajhg.2019.08.011] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 08/27/2019] [Indexed: 12/20/2022] Open
Abstract
Runs of homozygosity (ROH) are important genomic features that manifest when an individual inherits two haplotypes that are identical by descent. Their length distributions are informative about population history, and their genomic locations are useful for mapping recessive loci contributing to both Mendelian and complex disease risk. We have previously shown that ROH, and especially long ROH that are likely the result of recent parental relatedness, are enriched for homozygous deleterious coding variation in a worldwide sample of outbred individuals. However, the distribution of ROH in admixed populations and their relationship to deleterious homozygous genotypes is understudied. Here we analyze whole-genome sequencing data from 1,441 unrelated individuals from self-identified African American, Puerto Rican, and Mexican American populations. These populations are three-way admixed between European, African, and Native American ancestries and provide an opportunity to study the distribution of deleterious alleles partitioned by local ancestry and ROH. We re-capitulate previous findings that long ROH are enriched for deleterious variation genome-wide. We then partition by local ancestry and show that deleterious homozygotes arise at a higher rate when ROH overlap African ancestry segments than when they overlap European or Native American ancestry segments of the genome. These results suggest that, while ROH on any haplotype background are associated with an inflation of deleterious homozygous variation, African haplotype backgrounds may play a particularly important role in the genetic architecture of complex diseases for admixed individuals, highlighting the need for further study of these populations.
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Affiliation(s)
- Zachary A Szpiech
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94158, USA; Department of Biological Sciences, Auburn University, Auburn, AL 36842, USA.
| | - Angel C Y Mak
- Department of Medicine, University of California San Francisco, San Francisco, CA 94158, USA
| | - Marquitta J White
- Department of Medicine, University of California San Francisco, San Francisco, CA 94158, USA
| | - Donglei Hu
- Department of Medicine, University of California San Francisco, San Francisco, CA 94158, USA
| | - Celeste Eng
- Department of Medicine, University of California San Francisco, San Francisco, CA 94158, USA
| | - Esteban G Burchard
- Department of Medicine, University of California San Francisco, San Francisco, CA 94158, USA
| | - Ryan D Hernandez
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94158, USA; Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA 94158, USA; Department of Human Genetics, McGill University, Montreal, QC H3A 0G1, Canada; Genome Quebec Innovation Center, McGill University, Montreal, QC H3A 0G1, Canada.
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31
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Kornilov SA, Tan M, Aljughaiman A, Naumova OY, Grigorenko EL. Genome-Wide Homozygosity Mapping Reveals Genes Associated With Cognitive Ability in Children From Saudi Arabia. Front Genet 2019; 10:888. [PMID: 31620175 PMCID: PMC6759945 DOI: 10.3389/fgene.2019.00888] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 08/22/2019] [Indexed: 11/28/2022] Open
Abstract
Recent studies of the genetic foundations of cognitive ability rely on large samples (in extreme, hundreds of thousands) of individuals from relatively outbred populations of mostly European ancestry. Hypothesizing that the genetic foundation of cognitive ability depends on the broader population-specific genetic context, we performed a genome-wide association study and homozygosity mapping of cognitive ability estimates obtained through latent variable modeling in a sample of 354 children from a consanguineous population of Saudi Arabia. Approximately half of the sample demonstrated significantly elevated homozygosity levels indicative of inbreeding, and among those with elevated levels, homozygosity was negatively associated with cognitive ability. Further homozygosity mapping identified a specific run, inclusive of the GRIA4 gene, that survived corrections for multiple testing for association with cognitive ability. The results suggest that in a consanguineous population, a notable proportion of the variance in cognitive ability in the normal range in children might be regulated by population-specific mechanisms such as patterns of elevated homozygosity. This observation has implications for the field's understanding of the etiological bases of intelligence and its variability around the world.
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Affiliation(s)
- Sergey A. Kornilov
- Baylor College of Medicine, Department of Molecular and Human Genetics, Houston, TX, United States
- Department of Psychology, University of Houston, Houston, TX, USA
| | - Mei Tan
- Department of Psychology, University of Houston, Houston, TX, USA
| | | | - Oxana Yu Naumova
- Department of Psychology, University of Houston, Houston, TX, USA
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Elena L. Grigorenko
- Baylor College of Medicine, Department of Molecular and Human Genetics, Houston, TX, United States
- Department of Psychology, University of Houston, Houston, TX, USA
- Child Study Center, Yale University, New Haven, CT, USA
- Moscow State University for Psychology and Education, Moscow, Russia
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Magri C, Giacopuzzi E, La Via L, Bonini D, Ravasio V, Elhussiny MEA, Orizio F, Gangemi F, Valsecchi P, Bresciani R, Barbon A, Vita A, Gennarelli M. A novel homozygous mutation in GAD1 gene described in a schizophrenic patient impairs activity and dimerization of GAD67 enzyme. Sci Rep 2018; 8:15470. [PMID: 30341396 PMCID: PMC6195539 DOI: 10.1038/s41598-018-33924-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 10/08/2018] [Indexed: 12/30/2022] Open
Abstract
Recently, by whole exome sequencing of schizophrenia (SCZ) patients, we identified a subject that was homozygous for a novel missense substitution (c.391 A > G) in the glutamate acid decarboxylase 1 (GAD1) gene. GAD1 encodes for GAD67 enzyme, catalyzing the production of gamma-aminobutyric acid (GABA) from L-glutamic acid. Here, we studied the impact of this mutation on GAD67 activity, dimerization and subcellular localization. Biochemical assay revealed that c.391 A > G reduces GAD67 enzymatic activity by ~30%, probably due to the impaired homodimerization of homozygous mutants as highlighted by proximity ligation assays. The mutational screening of 120 genes of the "GABAergic system" in a cohort of 4,225 SCZ cases and 5,834 controls (dbGaP: phs000473.v1.p2), did not identify other cases that were homozygous for ultra-rare variants in GAD1, but highlighted an increased frequency of cases that were homozygous for rare variants in genes of the GABA system (SCZ: 0.14% vs. Controls: 0.00%; p-value = 0.0055). In conclusion, this study demonstrates the functional impact of c.391 A > G variant and its biological effect makes it a good candidate as risk variant for SCZ. This study also supports an involvement of ultra-rare variants in GABAergic genes in the etiopathogenesis of SCZ.
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Affiliation(s)
- Chiara Magri
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
| | - Edoardo Giacopuzzi
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Luca La Via
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Daniela Bonini
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Viola Ravasio
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Mohammed E A Elhussiny
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Flavia Orizio
- Unit of Biotechnology, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Fabrizio Gangemi
- Unit of Physics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Paolo Valsecchi
- Neuroscience Section, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Department of Mental Health, Spedali Civili Hospital, Brescia, Italy
| | - Roberto Bresciani
- Unit of Biotechnology, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Alessandro Barbon
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Antonio Vita
- Neuroscience Section, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Department of Mental Health, Spedali Civili Hospital, Brescia, Italy
| | - Massimo Gennarelli
- Unit of Biology and Genetics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
- Genetic Unit, IRCCS Centro S. Giovanni di Dio Fatebenefratelli, Brescia, Italy
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Hendricks S, Anderson EC, Antao T, Bernatchez L, Forester BR, Garner B, Hand BK, Hohenlohe PA, Kardos M, Koop B, Sethuraman A, Waples RS, Luikart G. Recent advances in conservation and population genomics data analysis. Evol Appl 2018. [PMCID: PMC6099823 DOI: 10.1111/eva.12659] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
New computational methods and next‐generation sequencing (NGS) approaches have enabled the use of thousands or hundreds of thousands of genetic markers to address previously intractable questions. The methods and massive marker sets present both new data analysis challenges and opportunities to visualize, understand, and apply population and conservation genomic data in novel ways. The large scale and complexity of NGS data also increases the expertise and effort required to thoroughly and thoughtfully analyze and interpret data. To aid in this endeavor, a recent workshop entitled “Population Genomic Data Analysis,” also known as “ConGen 2017,” was held at the University of Montana. The ConGen workshop brought 15 instructors together with knowledge in a wide range of topics including NGS data filtering, genome assembly, genomic monitoring of effective population size, migration modeling, detecting adaptive genomic variation, genomewide association analysis, inbreeding depression, and landscape genomics. Here, we summarize the major themes of the workshop and the important take‐home points that were offered to students throughout. We emphasize increasing participation by women in population and conservation genomics as a vital step for the advancement of science. Some important themes that emerged during the workshop included the need for data visualization and its importance in finding problematic data, the effects of data filtering choices on downstream population genomic analyses, the increasing availability of whole‐genome sequencing, and the new challenges it presents. Our goal here is to help motivate and educate a worldwide audience to improve population genomic data analysis and interpretation, and thereby advance the contribution of genomics to molecular ecology, evolutionary biology, and especially to the conservation of biodiversity.
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Affiliation(s)
- Sarah Hendricks
- Institute for Bioinformatics and Evolutionary Studies University of Idaho Moscow Idaho
| | - Eric C. Anderson
- Fisheries Ecology Division Southwest Fisheries Science Center National Marine Fisheries Service National Oceanic and Atmospheric Administration Santa Cruz California
- University of California Santa Cruz California
| | - Tiago Antao
- Division of Biological Sciences University of Montana Missoula Montana
| | - Louis Bernatchez
- Département de Biologie Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Québec Canada
| | | | - Brittany Garner
- Flathead Lake Biological Station Montana Conservation Genomics Laboratory Division of Biological Science University of Montana Missoula Montana
- Wildlife Program Fish and Wildlife Genomics Group College of Forestry and Conservation University of Montana Missoula Montana
| | - Brian K. Hand
- Flathead Lake Biological Station Montana Conservation Genomics Laboratory Division of Biological Science University of Montana Missoula Montana
| | - Paul A. Hohenlohe
- Institute for Bioinformatics and Evolutionary Studies University of Idaho Moscow Idaho
| | - Martin Kardos
- Flathead Lake Biological Station Montana Conservation Genomics Laboratory Division of Biological Science University of Montana Missoula Montana
| | - Ben Koop
- Department of Biology Centre for Biomedical Research University of Victoria Victoria British Columbia Canada
| | - Arun Sethuraman
- Department of Biological Sciences California State University San Marcos San Marcos California
| | - Robin S. Waples
- NOAA Fisheries Northwest Fisheries Science Center Seattle Washington
| | - Gordon Luikart
- Flathead Lake Biological Station Montana Conservation Genomics Laboratory Division of Biological Science University of Montana Missoula Montana
- Wildlife Program Fish and Wildlife Genomics Group College of Forestry and Conservation University of Montana Missoula Montana
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Runs of homozygosity, copy number variation, and risk for depression and suicidal behavior in an Arab Bedouin kindred. Psychiatr Genet 2018; 27:169-177. [PMID: 28570395 DOI: 10.1097/ypg.0000000000000177] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Inbreeding increases the probability of homozygosity of deleterious alleles. Inbreeding and runs of homozygosity (ROH) are associated with an increased risk for disease phenotypes, including schizophrenia and other psychiatric disorders. The effects of inbreeding, ROH, homozygous deletions, and other copy number variations (CNVs) on risk for depression and suicide attempt (SA) were quantified in an Arab Bedouin Kindred. METHODS We carried out genetic analyses of 439 individuals from an Arab kindred with high rates of depression and suicidal behavior. We obtained complete ascertainment of SAs and first-degree relatives of individuals who have attempted or died by suicide. RESULTS We found extensive regions of ROH. On average, 5% of the genome is covered by ROH for these individuals, two-fold higher than ROH rates for individuals from populations of European ancestry. Inbreeding and total length of ROH were not associated with risk for depression or attempt. For CNVs, an increased number of duplications more than 500 kb was associated with an increased risk for attempt (odds ratio: 2.9; P=0.01; 95% confidence interval: 1.3-6.6). Although not significant after correction for multiple testing, the risk for SA appears to increase with copy number for a CNV on chromosome 9p24.1. This possibility is intriguing because the CNV covers GLDC, which encodes glycine dehydrogenase that binds to glycine, a co-agonist at N-methyl-D-aspartate glutamate receptors, and is involved in glutamatergic neurotransmission. CONCLUSION Our findings add to the growing evidence of genetic risk factors that act pleiotropically to increase the risk for several neuropsychiatric disorders, including depression and SA, irrespective of ancestry.
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Johnson EC, Evans LM, Keller MC. Relationships between estimated autozygosity and complex traits in the UK Biobank. PLoS Genet 2018; 14:e1007556. [PMID: 30052639 PMCID: PMC6082573 DOI: 10.1371/journal.pgen.1007556] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 08/08/2018] [Accepted: 07/11/2018] [Indexed: 11/25/2022] Open
Abstract
Inbreeding increases the risk of certain Mendelian disorders in humans but may also reduce fitness through its effects on complex traits and diseases. Such inbreeding depression is thought to occur due to increased homozygosity at causal variants that are recessive with respect to fitness. Until recently it has been difficult to amass large enough sample sizes to investigate the effects of inbreeding depression on complex traits using genome-wide single nucleotide polymorphism (SNP) data in population-based samples. Further, it is difficult to infer causation in analyses that relate degree of inbreeding to complex traits because confounding variables (e.g., education) may influence both the likelihood for parents to outbreed and offspring trait values. The present study used runs of homozygosity in genome-wide SNP data in up to 400,000 individuals in the UK Biobank to estimate the proportion of the autosome that exists in autozygous tracts—stretches of the genome which are identical due to a shared common ancestor. After multiple testing corrections and controlling for possible sociodemographic confounders, we found significant relationships in the predicted direction between estimated autozygosity and three of the 26 traits we investigated: age at first sexual intercourse, fluid intelligence, and forced expiratory volume in 1 second. Our findings corroborate those of several published studies. These results may imply that these traits have been associated with Darwinian fitness over evolutionary time. However, some of the autozygosity-trait relationships were attenuated after controlling for background sociodemographic characteristics, suggesting that alternative explanations for these associations have not been eliminated. Care needs to be taken in the design and interpretation of ROH studies in order to glean reliable information about the genetic architecture and evolutionary history of complex traits. Inbreeding is well known to increase the risk of rare, monogenic diseases, and there has been some evidence that it also affects complex traits, such as cognition and educational attainment. However, difficulties can arise when inferring causation in these types of analyses because of the potential for confounding variables (e.g., socioeconomic status) to bias the observed relationships between distant inbreeding and complex traits. In this investigation, we used single-nucleotide polymorphism data in a very large (N > 400,000) sample of seemingly outbred individuals to quantify the degree to which distant inbreeding is associated with 26 complex traits. We found robust evidence that distant inbreeding is inversely associated with fluid intelligence and a measure of lung function, and is positively associated with age at first sex, while other trait associations with inbreeding were attenuated after controlling for background sociodemographic characteristics. Our findings are consistent with evolutionary predictions that fluid intelligence, lung function, and age at first sex have been under selection pressures over time; however, they also suggest that confounding variables must be accounted for in order to reliably interpret results from these types of analyses.
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Affiliation(s)
- Emma C. Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, United States of America
- * E-mail:
| | - Luke M. Evans
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States of America
- Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, Colorado, United States of America
| | - Matthew C. Keller
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, United States of America
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado, United States of America
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Szpiech ZA, Blant A, Pemberton TJ. GARLIC: Genomic Autozygosity Regions Likelihood-based Inference and Classification. Bioinformatics 2018; 33:2059-2062. [PMID: 28205676 DOI: 10.1093/bioinformatics/btx102] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Accepted: 02/15/2017] [Indexed: 12/14/2022] Open
Abstract
Summary Runs of homozygosity (ROH) are important genomic features that manifest when identical-by-descent haplotypes are inherited from parents. Their length distributions and genomic locations are informative about population history and they are useful for mapping recessive loci contributing to both Mendelian and complex disease risk. Here, we present software implementing a model-based method ( Pemberton et al., 2012 ) for inferring ROH in genome-wide SNP datasets that incorporates population-specific parameters and a genotyping error rate as well as provides a length-based classification module to identify biologically interesting classes of ROH. Using simulations, we evaluate the performance of this method. Availability and Implementation GARLIC is written in C ++. Source code and pre-compiled binaries (Windows, OSX and Linux) are hosted on GitHub ( https://github.com/szpiech/garlic ) under the GNU General Public License version 3. Contact zachary.szpiech@ucsf.edu. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Zachary A Szpiech
- Department of Bioengineering and Therapeutic Sciences, University of California - San Francisco, San Francisco, CA 94158, USA
| | - Alexandra Blant
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB R3E 0J9, Canada
| | - Trevor J Pemberton
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB R3E 0J9, Canada
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Relationship between Deleterious Variation, Genomic Autozygosity, and Disease Risk: Insights from The 1000 Genomes Project. Am J Hum Genet 2018; 102:658-675. [PMID: 29551419 DOI: 10.1016/j.ajhg.2018.02.013] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Accepted: 02/19/2018] [Indexed: 12/11/2022] Open
Abstract
Genomic regions of autozygosity (ROAs) represent segments of individual genomes that are homozygous for haplotypes inherited identical-by-descent (IBD) from a common ancestor. ROAs are nonuniformly distributed across the genome, and increased ROA levels are a reported risk factor for numerous complex diseases. Previously, we hypothesized that long ROAs are enriched for deleterious homozygotes as a result of young haplotypes with recent deleterious mutations-relatively untouched by purifying selection-being paired IBD as a consequence of recent parental relatedness, a pattern supported by ROA and whole-exome sequence data on 27 individuals. Here, we significantly bolster support for our hypothesis and expand upon our original analyses using ROA and whole-genome sequence data on 2,436 individuals from The 1000 Genomes Project. Considering CADD deleteriousness scores, we reaffirm our previous observation that long ROAs are enriched for damaging homozygotes worldwide. We show that strongly damaging homozygotes experience greater enrichment than weaker damaging homozygotes, while overall enrichment varies appreciably among populations. Mendelian disease genes and those encoding FDA-approved drug targets have significantly increased rates of gain in damaging homozygotes with increasing ROA coverage relative to all other genes. In genes implicated in eight complex phenotypes for which ROA levels have been identified as a risk factor, rates of gain in damaging homozygotes vary across phenotypes and populations but frequently differ significantly from non-disease genes. These findings highlight the potential confounding effects of population background in the assessment of associations between ROA levels and complex disease risk, which might underlie reported inconsistencies in ROA-phenotype associations.
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Kim K, Jung J, Caetano-Anollés K, Sung S, Yoo D, Choi BH, Kim HC, Jeong JY, Cho YM, Park EW, Choi TJ, Park B, Lim D, Kim H. Artificial selection increased body weight but induced increase of runs of homozygosity in Hanwoo cattle. PLoS One 2018; 13:e0193701. [PMID: 29561881 PMCID: PMC5862439 DOI: 10.1371/journal.pone.0193701] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Accepted: 02/19/2018] [Indexed: 12/02/2022] Open
Abstract
Artificial selection has been demonstrated to have a rapid and significant effect on the phenotype and genome of an organism. However, most previous studies on artificial selection have focused solely on genomic sequences modified by artificial selection or genomic sequences associated with a specific trait. In this study, we generated whole genome sequencing data of 126 cattle under artificial selection, and 24,973,862 single nucleotide variants to investigate the relationship among artificial selection, genomic sequences and trait. Using runs of homozygosity detected by the variants, we showed increase of inbreeding for decades, and at the same time demonstrated a little influence of recent inbreeding on body weight. Also, we could identify ~0.2 Mb runs of homozygosity segment which may be created by recent artificial selection. This approach may aid in development of genetic markers directly influenced by artificial selection, and provide insight into the process of artificial selection.
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Affiliation(s)
- Kwondo Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Kwan-ak Gu, Seoul, Republic of Korea
- C&K genomics, C-1008, H businesspark, 26, Beobwon-ro 9-gil, Songpa-gu, Seoul, Republic of Korea
| | - Jaehoon Jung
- C&K genomics, C-1008, H businesspark, 26, Beobwon-ro 9-gil, Songpa-gu, Seoul, Republic of Korea
- Department of Agricultural Biotechnology, Seoul National University, Kwan-ak Gu, Seoul, Republic of Korea
| | - Kelsey Caetano-Anollés
- Department of Agricultural Biotechnology, Animal Biotechnology Major, and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, Korea
| | - Samsun Sung
- C&K genomics, C-1008, H businesspark, 26, Beobwon-ro 9-gil, Songpa-gu, Seoul, Republic of Korea
| | - DongAhn Yoo
- Interdisciplinary Program in Bioinformatics, Seoul National University, Kwan-ak Gu, Seoul, Republic of Korea
- C&K genomics, C-1008, H businesspark, 26, Beobwon-ro 9-gil, Songpa-gu, Seoul, Republic of Korea
| | - Bong-Hwan Choi
- National Institute of Animal Science, Rural Development Administration, Wanju, Republic of Korea
| | - Hyung-Chul Kim
- National Institute of Animal Science, Rural Development Administration, Wanju, Republic of Korea
| | - Jin-Young Jeong
- National Institute of Animal Science, Rural Development Administration, Wanju, Republic of Korea
| | - Yong-Min Cho
- National Institute of Animal Science, Rural Development Administration, Wanju, Republic of Korea
| | - Eung-Woo Park
- National Institute of Animal Science, Rural Development Administration, Wanju, Republic of Korea
| | - Tae-Jeong Choi
- National Institute of Animal Science, Rural Development Administration, Wanju, Republic of Korea
| | - Byoungho Park
- National Institute of Animal Science, Rural Development Administration, Wanju, Republic of Korea
| | - Dajeong Lim
- National Institute of Animal Science, Rural Development Administration, Wanju, Republic of Korea
- * E-mail: (HK); (DL)
| | - Heebal Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Kwan-ak Gu, Seoul, Republic of Korea
- Department of Agricultural Biotechnology, Seoul National University, Kwan-ak Gu, Seoul, Republic of Korea
- * E-mail: (HK); (DL)
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Ceballos FC, Hazelhurst S, Ramsay M. Assessing runs of Homozygosity: a comparison of SNP Array and whole genome sequence low coverage data. BMC Genomics 2018; 19:106. [PMID: 29378520 PMCID: PMC5789638 DOI: 10.1186/s12864-018-4489-0] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Accepted: 01/19/2018] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Runs of Homozygosity (ROH) are genomic regions where identical haplotypes are inherited from each parent. Since their first detection due to technological advances in the late 1990s, ROHs have been shedding light on human population history and deciphering the genetic basis of monogenic and complex traits and diseases. ROH studies have predominantly exploited SNP array data, but are gradually moving to whole genome sequence (WGS) data as it becomes available. WGS data, covering more genetic variability, can add value to ROH studies, but require additional considerations during analysis. RESULTS Using SNP array and low coverage WGS data from 1885 individuals from 20 world populations, our aims were to compare ROH from the two datasets and to establish software conditions to get comparable results, thus providing guidelines for combining disparate datasets in joint ROH analyses. By allowing heterozygous SNPs per window, using the PLINK homozygosity function and non-parametric analysis, we were able to obtain non-significant differences in number ROH, mean ROH size and total sum of ROH between data sets using the different technologies for almost all populations. CONCLUSIONS By allowing 3 heterozygous SNPs per ROH when dealing with WGS low coverage data, it is possible to establish meaningful comparisons between data using SNP array and WGS low coverage technologies.
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Affiliation(s)
- Francisco C Ceballos
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Scott Hazelhurst
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- School of Electrical & Information Engineering, University of the Witwatersrand, Johannesburg, South Africa
| | - Michèle Ramsay
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Division of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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Ceballos FC, Joshi PK, Clark DW, Ramsay M, Wilson JF. Runs of homozygosity: windows into population history and trait architecture. Nat Rev Genet 2018; 19:220-234. [PMID: 29335644 DOI: 10.1038/nrg.2017.109] [Citation(s) in RCA: 361] [Impact Index Per Article: 60.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Long runs of homozygosity (ROH) arise when identical haplotypes are inherited from each parent and thus a long tract of genotypes is homozygous. Cousin marriage or inbreeding gives rise to such autozygosity; however, genome-wide data reveal that ROH are universally common in human genomes even among outbred individuals. The number and length of ROH reflect individual demographic history, while the homozygosity burden can be used to investigate the genetic architecture of complex disease. We discuss how to identify ROH in genome-wide microarray and sequence data, their distribution in human populations and their application to the understanding of inbreeding depression and disease risk.
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Affiliation(s)
- Francisco C Ceballos
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Parktown 2193, Johannesburg, South Africa.,Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, UK
| | - David W Clark
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, UK
| | - Michèle Ramsay
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Parktown 2193, Johannesburg, South Africa.,Division of Human Genetics, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Braamfontein 2000, Johannesburg, South Africa
| | - James F Wilson
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK.,Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, UK
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Luikart G, Kardos M, Hand BK, Rajora OP, Aitken SN, Hohenlohe PA. Population Genomics: Advancing Understanding of Nature. POPULATION GENOMICS 2018. [DOI: 10.1007/13836_2018_60] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Blant A, Kwong M, Szpiech ZA, Pemberton TJ. Weighted likelihood inference of genomic autozygosity patterns in dense genotype data. BMC Genomics 2017; 18:928. [PMID: 29191164 PMCID: PMC5709839 DOI: 10.1186/s12864-017-4312-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Accepted: 11/16/2017] [Indexed: 12/14/2022] Open
Abstract
Background Genomic regions of autozygosity (ROA) arise when an individual is homozygous for haplotypes inherited identical-by-descent from ancestors shared by both parents. Over the past decade, they have gained importance for understanding evolutionary history and the genetic basis of complex diseases and traits. However, methods to infer ROA in dense genotype data have not evolved in step with advances in genome technology that now enable us to rapidly create large high-resolution genotype datasets, limiting our ability to investigate their constituent ROA patterns. Methods We report a weighted likelihood approach for inferring ROA in dense genotype data that accounts for autocorrelation among genotyped positions and the possibilities of unobserved mutation and recombination events, and variability in the confidence of individual genotype calls in whole genome sequence (WGS) data. Results Forward-time genetic simulations under two demographic scenarios that reflect situations where inbreeding and its effect on fitness are of interest suggest this approach is better powered than existing state-of-the-art methods to infer ROA at marker densities consistent with WGS and popular microarray genotyping platforms used in human and non-human studies. Moreover, we present evidence that suggests this approach is able to distinguish ROA arising via consanguinity from ROA arising via endogamy. Using subsets of The 1000 Genomes Project Phase 3 data we show that, relative to WGS, intermediate and long ROA are captured robustly with popular microarray platforms, while detection of short ROA is more variable and improves with marker density. Worldwide ROA patterns inferred from WGS data are found to accord well with those previously reported on the basis of microarray genotype data. Finally, we highlight the potential of this approach to detect genomic regions enriched for autozygosity signals in one group relative to another based upon comparisons of per-individual autozygosity likelihoods instead of inferred ROA frequencies. Conclusions This weighted likelihood ROA inference approach can assist population- and disease-geneticists working with a wide variety of data types and species to explore ROA patterns and to identify genomic regions with differential ROA signals among groups, thereby advancing our understanding of evolutionary history and the role of recessive variation in phenotypic variation and disease. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-4312-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Alexandra Blant
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, Canada
| | - Michelle Kwong
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, Canada
| | - Zachary A Szpiech
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA
| | - Trevor J Pemberton
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, Canada.
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Chen X, Long F, Cai B, Chen X, Chen G. A novel relationship for schizophrenia, bipolar and major depressive disorder Part 3: Evidence from chromosome 3 high density association screen. J Comp Neurol 2017; 526:59-79. [PMID: 28856687 DOI: 10.1002/cne.24311] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2017] [Revised: 07/29/2017] [Accepted: 07/31/2017] [Indexed: 12/30/2022]
Abstract
Familial clustering of schizophrenia (SCZ), bipolar disorder (BPD), and major depressive disorder (MDD) was systematically reported (Aukes et al, Genet Med 2012, 14, 338-341) and convergent evidence from genetics, symptomatology, and psychopharmacology imply that there are intrinsic connections between these three major psychiatric disorders, for example, any two or even three of these disorders could co-exist in some families. A total of 60, 838 single-nucleotide polymorphisms (SNPs) on chromosome 3 were genotyped by Affymetrix Genome-Wide Human SNP array 6.0 on 119 SCZ, 253 BPD (type-I), 177 MDD patients and 1,000 controls. The population of Shandong province was formed in 14 century and believed that it belongs to homogenous population. Associated SNPs were systematically revealed and outstanding susceptibility genes (CADPS, GRM7,KALRN, LSAMP, NLGN1, PRICKLE2, ROBO2) were identified. Unexpectedly, flanking genes for the associated SNPs distinctive for BPD and/or MDD were replicated in an enlarged cohort of 986 SCZ patients. The evidence from this chromosome 3 analysis supports the notion that both of bipolar and MDD might be subtypes of schizophrenia rather than independent disease entity. Also, a similar finding was detected on chromosome 5, 6, 7, and 8 (Chen et al. Am J Transl Res 2017;9 (5):2473-2491; Curr Mol Med 2016;16(9):840-854; Behav Brain Res 2015;293:241-251; Mol Neurobiol 2016. doi: 10.1007/s12035-016-0102-1). Furthermore, PRICKLE2 play an important role in the pathogenesis of three major psychoses in this population.
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Affiliation(s)
- Xing Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China
| | - Feng Long
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China
| | - Bin Cai
- CapitalBio corporation, Beijing, People's Republic of China
| | - Xiaohong Chen
- CapitalBio corporation, Beijing, People's Republic of China
| | - Gang Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China
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Kang JTL, Goldberg A, Edge MD, Behar DM, Rosenberg NA. Consanguinity Rates Predict Long Runs of Homozygosity in Jewish Populations. Hum Hered 2017; 82:87-102. [PMID: 28910803 DOI: 10.1159/000478897] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Accepted: 06/14/2017] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES Recent studies have highlighted the potential of analyses of genomic sharing to produce insight into the demographic processes affecting human populations. We study runs of homozygosity (ROH) in 18 Jewish populations, examining these groups in relation to 123 non-Jewish populations sampled worldwide. METHODS By sorting ROH into 3 length classes (short, intermediate, and long), we evaluate the impact of demographic processes on genomic patterns in Jewish populations. RESULTS We find that the portion of the genome appearing in long ROH - the length class most directly related to recent consanguinity - closely accords with data gathered from interviews during the 1950s on frequencies of consanguineous unions in various Jewish groups. CONCLUSION The high correlation between 1950s consanguinity levels and coverage by long ROH explains differences across populations in ROH patterns. The dissection of ROH into length classes and the comparison to consanguinity data assist in understanding a number of additional phenomena, including similarities of Jewish populations to Middle Eastern, European, and Central and South Asian non-Jewish populations in short ROH patterns, relative lengths of identity-by-descent tracts in different Jewish groups, and the "population isolate" status of the Ashkenazi Jews.
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Howard JT, Pryce JE, Baes C, Maltecca C. Invited review: Inbreeding in the genomics era: Inbreeding, inbreeding depression, and management of genomic variability. J Dairy Sci 2017; 100:6009-6024. [DOI: 10.3168/jds.2017-12787] [Citation(s) in RCA: 84] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Accepted: 04/25/2017] [Indexed: 11/19/2022]
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Detection and quantification of inbreeding depression for complex traits from SNP data. Proc Natl Acad Sci U S A 2017; 114:8602-8607. [PMID: 28747529 DOI: 10.1073/pnas.1621096114] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Quantifying the effects of inbreeding is critical to characterizing the genetic architecture of complex traits. This study highlights through theory and simulations the strengths and shortcomings of three SNP-based inbreeding measures commonly used to estimate inbreeding depression (ID). We demonstrate that heterogeneity in linkage disequilibrium (LD) between causal variants and SNPs biases ID estimates, and we develop an approach to correct this bias using LD and minor allele frequency stratified inference (LDMS). We quantified ID in 25 traits measured in [Formula: see text] participants of the UK Biobank, using LDMS, and confirmed previously published ID for 4 traits. We find unique evidence of ID for handgrip strength, waist/hip ratio, and visual and auditory acuity (ID between -2.3 and -5.2 phenotypic SDs for complete inbreeding; [Formula: see text]). Our results illustrate that a careful choice of the measure of inbreeding combined with LDMS stratification improves both detection and quantification of ID using SNP data.
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Ferenčaković M, Sölkner J, Kapš M, Curik I. Genome-wide mapping and estimation of inbreeding depression of semen quality traits in a cattle population. J Dairy Sci 2017; 100:4721-4730. [PMID: 28434751 DOI: 10.3168/jds.2016-12164] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 02/27/2017] [Indexed: 11/19/2022]
Abstract
Inbreeding depression is known to affect quantitative traits such as male fertility and sperm quality, but the genetic basis for these associations is poorly understood. Most studies have been limited to examining how pedigree- or marker-derived genome-wide autozygosity is associated with quantitative phenotypes. In this study, we analyzed possible associations of genetic features of inbreeding depression with percentage of live spermatozoa and total number of spermatozoa in 19,720 ejaculates obtained from 554 Austrian Fleckvieh bulls during routine artificial insemination programs. Genome-wide inbreeding depression was estimated and genomic regions contributing to inbreeding depression were mapped. Inbreeding depression did affect total number of spermatozoa, and such depression was predicted by pedigree-based inbreeding levels and genome-wide inbreeding levels based on runs of homozygosity (ROH). Genome-wide inbreeding depression did not seem to affect percentage of live spermatozoa. A model incorporating genetic effects of the bull, environmental factors, and additive genetic and ROH status effects of individual single-nucleotide polymorphisms revealed genomic regions significantly associated with ROH status for total number of spermatozoa (4 regions) or percentage of live spermatozoa (5 regions). All but one region contains genes related to spermatogenesis and sperm morphology. These genomic regions contain genes affecting sperm morphogenesis and efficacy. The results highlight that next-generation sequencing may help explain some of the genetic factors contributing to inbreeding depression of sperm quality traits in Fleckvieh bulls.
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Affiliation(s)
- Maja Ferenčaković
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetosimunska 25, 10000 Zagreb, Croatia
| | - Johann Sölkner
- University of Natural Resources and Life Sciences Vienna, Department of Sustainable Agricultural Systems, Division of Livestock Sciences, Gregor Mendel Str. 33, A-1180 Vienna, Austria.
| | - Miroslav Kapš
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetosimunska 25, 10000 Zagreb, Croatia
| | - Ino Curik
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetosimunska 25, 10000 Zagreb, Croatia
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Abstract
BACKGROUND Runs of homozygosity (ROH) are consecutive homozygous genotypes, which may result from population inbreeding or consanguineous marriages. ROH enhance the expression of recessive traits. METHODS We mapped ROH in a case control study of women delivering at term compared with women delivering at or before 34 wk gestation. Gene sets known to be important in risk of preterm birth were examined for their overlap with identified ROH segments. RESULTS While we found no evidence of increased burden of ROH or copy number variations in mothers delivering at or before 34 wk compared with term, we identified 424 genome-wide 50 kb segments with significant difference in abundance of overlapping ROH segments in cases vs. controls, P < 0.05. These regions overlap 199 known genes. We found preterm birth associated genes (CXCR4, MYLK, PAK1) and genes shown to have an evolutionary link to preterm (CXCR4, PPP3CB, C6orf57, DUSP13, and SLC25A45) with significant differences in abundance of overlapping ROH blocks in cases vs. controls, P < 0.001. CONCLUSION We conclude, while we found no significant burden of ROH, we did identify genomic regions with significantly greater abundance of ROH blocks in women delivering preterm that overlapped genes known to be involved in preterm birth.
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Kardos M, Taylor HR, Ellegren H, Luikart G, Allendorf FW. Genomics advances the study of inbreeding depression in the wild. Evol Appl 2016; 9:1205-1218. [PMID: 27877200 PMCID: PMC5108213 DOI: 10.1111/eva.12414] [Citation(s) in RCA: 143] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Accepted: 08/05/2016] [Indexed: 12/12/2022] Open
Abstract
Inbreeding depression (reduced fitness of individuals with related parents) has long been a major focus of ecology, evolution, and conservation biology. Despite decades of research, we still have a limited understanding of the strength, underlying genetic mechanisms, and demographic consequences of inbreeding depression in the wild. Studying inbreeding depression in natural populations has been hampered by the inability to precisely measure individual inbreeding. Fortunately, the rapidly increasing availability of high-throughput sequencing data means it is now feasible to measure the inbreeding of any individual with high precision. Here, we review how genomic data are advancing our understanding of inbreeding depression in the wild. Recent results show that individual inbreeding and inbreeding depression can be measured more precisely with genomic data than via traditional pedigree analysis. Additionally, the availability of genomic data has made it possible to pinpoint loci with large effects contributing to inbreeding depression in wild populations, although this will continue to be a challenging task in many study systems due to low statistical power. Now that reliably measuring individual inbreeding is no longer a limitation, a major focus of future studies should be to more accurately quantify effects of inbreeding depression on population growth and viability.
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Affiliation(s)
- Marty Kardos
- Department of Evolutionary BiologyEvolutionary Biology CentreUppsala UniversityUppsalaSweden
| | | | - Hans Ellegren
- Department of Evolutionary BiologyEvolutionary Biology CentreUppsala UniversityUppsalaSweden
| | - Gordon Luikart
- Division of Biological SciencesUniversity of MontanaMissoulaMTUSA
- Flathead Lake Biological StationDivision of Biological SciencesUniversity of MontanaPolsonMTUSA
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The Novel Concept of “Behavioural Instability” and Its Potential Applications. Symmetry (Basel) 2016. [DOI: 10.3390/sym8110135] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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