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  1. Article ; Online: Mate choice through a genomic lens.

    Yengo, Loic

    Nature reviews. Genetics

    2023  Volume 24, Issue 10, Page(s) 664

    Language English
    Publishing date 2023-04-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 2035157-4
    ISSN 1471-0064 ; 1471-0056
    ISSN (online) 1471-0064
    ISSN 1471-0056
    DOI 10.1038/s41576-023-00605-w
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    Zs.A 5474: Show issues Location:
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  2. Article ; Online: The effect of the scale of grant scoring on ranking accuracy.

    Visscher, Peter M / Yengo, Loic

    F1000Research

    2022  Volume 11, Page(s) 1197

    Abstract: In this study we quantify the accuracy of scoring the quality of research grants using a finite set of distinct categories (1, 2, …., k), when the unobserved grant score is a continuous random variable comprising a true quality score and measurement ... ...

    Abstract In this study we quantify the accuracy of scoring the quality of research grants using a finite set of distinct categories (1, 2, …., k), when the unobserved grant score is a continuous random variable comprising a true quality score and measurement error, both normally distributed. We vary the number of categories, the number of assessors that score the same grant and a signal-to-noise ratio parameter. We show that the loss of information of scoring a small number of categories (k > 5) compared to scoring on a continuous scale is very small, so that increasing the number of scoring categories is unlikely to lead to an improvement in the outcomes of scoring systems. In addition, we model the effect of grant assessors scoring too close to the mean and show that this results in only a very small reduction in the accuracy of scoring.
    MeSH term(s) Financing, Organized
    Language English
    Publishing date 2022-10-19
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2699932-8
    ISSN 2046-1402 ; 2046-1402
    ISSN (online) 2046-1402
    ISSN 2046-1402
    DOI 10.12688/f1000research.125400.2
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  3. Article ; Online: Constrained human genes under scrutiny.

    Yengo, Loic / Colleran, Heidi

    Nature

    2022  Volume 603, Issue 7903, Page(s) 799–801

    MeSH term(s) Biological Evolution ; Humans
    Language English
    Publishing date 2022-03-23
    Publishing country England
    Document type News ; Comment
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/d41586-022-00693-4
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  4. Article ; Online: The impact of assortative mating, participation bias and socioeconomic status on the polygenic risk of behavioural and psychiatric traits.

    Cabrera-Mendoza, Brenda / Wendt, Frank R / Pathak, Gita A / Yengo, Loic / Polimanti, Renato

    Nature human behaviour

    2024  

    Abstract: To investigate assortative mating (AM), participation bias and socioeconomic status (SES) with respect to the genetics of behavioural and psychiatric traits, we estimated AM signatures using gametic phase disequilibrium and within-spouses and within- ... ...

    Abstract To investigate assortative mating (AM), participation bias and socioeconomic status (SES) with respect to the genetics of behavioural and psychiatric traits, we estimated AM signatures using gametic phase disequilibrium and within-spouses and within-siblings polygenic risk score correlation analyses, also performing a SES conditional analysis. The cross-method meta-analysis identified AM genetic signatures for multiple alcohol-related phenotypes, bipolar disorder, major depressive disorder, schizophrenia and Tourette syndrome. Here, after SES conditioning, we observed changes in the AM genetic signatures for maximum habitual alcohol intake, frequency of drinking alcohol and Tourette syndrome. We also observed significant gametic phase disequilibrium differences between UK Biobank mental health questionnaire responders versus non-responders for major depressive disorder and alcohol use disorder. These results highlight the impact of AM, participation bias and SES on the polygenic risk of behavioural and psychiatric traits, particularly in alcohol-related traits.
    Language English
    Publishing date 2024-02-16
    Publishing country England
    Document type Journal Article
    ISSN 2397-3374
    ISSN (online) 2397-3374
    DOI 10.1038/s41562-024-01828-5
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  5. Article ; Online: 15 years of GWAS discovery: Realizing the promise.

    Abdellaoui, Abdel / Yengo, Loic / Verweij, Karin J H / Visscher, Peter M

    American journal of human genetics

    2023  Volume 110, Issue 2, Page(s) 179–194

    Abstract: It has been 15 years since the advent of the genome-wide association study (GWAS) era. Here, we review how this experimental design has realized its promise by facilitating an impressive range of discoveries with remarkable impact on multiple fields, ... ...

    Abstract It has been 15 years since the advent of the genome-wide association study (GWAS) era. Here, we review how this experimental design has realized its promise by facilitating an impressive range of discoveries with remarkable impact on multiple fields, including population genetics, complex trait genetics, epidemiology, social science, and medicine. We predict that the emergence of large-scale biobanks will continue to expand to more diverse populations and capture more of the allele frequency spectrum through whole-genome sequencing, which will further improve our ability to investigate the causes and consequences of human genetic variation for complex traits and diseases.
    MeSH term(s) Humans ; Genome-Wide Association Study ; Gene Frequency ; Genetics, Population ; Multifactorial Inheritance ; Polymorphism, Single Nucleotide
    Language English
    Publishing date 2023-01-11
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 219384-x
    ISSN 1537-6605 ; 0002-9297
    ISSN (online) 1537-6605
    ISSN 0002-9297
    DOI 10.1016/j.ajhg.2022.12.011
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  6. Article ; Online: Assortative Mating in Autism Spectrum Disorder: Toward an Evidence Base From DNA Data, but Not There Yet.

    Wray, Naomi R / Yengo, Loic

    Biological psychiatry

    2019  Volume 86, Issue 4, Page(s) 250–252

    MeSH term(s) Autism Spectrum Disorder ; DNA ; Humans
    Chemical Substances DNA (9007-49-2)
    Language English
    Publishing date 2019-09-13
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 209434-4
    ISSN 1873-2402 ; 0006-3223
    ISSN (online) 1873-2402
    ISSN 0006-3223
    DOI 10.1016/j.biopsych.2019.06.007
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    Zs.A 720: Show issues Location:
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  7. Article ; Online: Assortative mating on complex traits revisited: Double first cousins and the X-chromosome.

    Yengo, Loic / Visscher, Peter M

    Theoretical population biology

    2018  Volume 124, Page(s) 51–60

    Abstract: Mate choice through direct assortment on heritable traits, assortative mating (AM), is predicted in theory to inflate the genetic variance in a population and the correlation between relatives. Here, we revisit the theory of AM, first established in the ... ...

    Abstract Mate choice through direct assortment on heritable traits, assortative mating (AM), is predicted in theory to inflate the genetic variance in a population and the correlation between relatives. Here, we revisit the theory of AM, first established in the landmark 1918 paper from RA Fisher, and provide new theory and analytical results. In particular, we shed light on inconsistencies in the literature regarding the correlation between double first cousins under AM and provide a solution. We derive new theory for AM due to X-chromosome loci. We show in the latter case that the inflation of genetic variance induced under AM is twice as large in females compared to males. These two theoretical contributions are verified and illustrated through simulations. We also provide a more general unified framework for the correlation between relatives in a non-inbred population.
    MeSH term(s) Animals ; Computer Simulation ; Family ; Female ; Genes, X-Linked/genetics ; Genetic Variation ; Humans ; Male ; Models, Genetic ; Multifactorial Inheritance ; Phenotype ; Reproduction ; Sex Factors
    Language English
    Publishing date 2018-10-11
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 3948-2
    ISSN 1096-0325 ; 0040-5809
    ISSN (online) 1096-0325
    ISSN 0040-5809
    DOI 10.1016/j.tpb.2018.09.002
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  8. Article ; Online: Discovery and implications of polygenicity of common diseases.

    Visscher, Peter M / Yengo, Loic / Cox, Nancy J / Wray, Naomi R

    Science (New York, N.Y.)

    2021  Volume 373, Issue 6562, Page(s) 1468–1473

    Abstract: The sequencing of the human genome has allowed the study of the genetic architecture of common diseases: the number of genomic variants that contribute to risk of disease and their joint frequency and effect size distribution. Common diseases are ... ...

    Abstract The sequencing of the human genome has allowed the study of the genetic architecture of common diseases: the number of genomic variants that contribute to risk of disease and their joint frequency and effect size distribution. Common diseases are polygenic, with many loci contributing to phenotype, and the cumulative burden of risk alleles determines individual risk in conjunction with environmental factors. Most risk loci occur in noncoding regions of the genome regulating cell- and context-specific gene expression. Although the effect sizes of most risk alleles are small, their cumulative effects in individuals, quantified as a polygenic (risk) score, can identify people at increased risk of disease, thereby facilitating prevention or early intervention.
    MeSH term(s) Disease/genetics ; Genetic Predisposition to Disease ; Genetic Variation ; Genome-Wide Association Study ; Humans ; Models, Genetic ; Multifactorial Inheritance ; Polymorphism, Single Nucleotide ; Rare Diseases/genetics ; Selection, Genetic ; Whole Genome Sequencing
    Language English
    Publishing date 2021-09-23
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.abi8206
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  9. Article ; Online: Extreme inbreeding in a European ancestry sample from the contemporary UK population.

    Yengo, Loic / Wray, Naomi R / Visscher, Peter M

    Nature communications

    2019  Volume 10, Issue 1, Page(s) 3719

    Abstract: In most human societies, there are taboos and laws banning mating between first- and second-degree relatives, but actual prevalence and effects on health and fitness are poorly quantified. Here, we leverage a large observational study of ~450,000 ... ...

    Abstract In most human societies, there are taboos and laws banning mating between first- and second-degree relatives, but actual prevalence and effects on health and fitness are poorly quantified. Here, we leverage a large observational study of ~450,000 participants of European ancestry from the UK Biobank (UKB) to quantify extreme inbreeding (EI) and its consequences. We use genotyped SNPs to detect large runs of homozygosity (ROH) and call EI when >10% of an individual's genome comprise ROHs. We estimate a prevalence of EI of ~0.03%, i.e., ~1/3652. EI cases have phenotypic means between 0.3 and 0.7 standard deviation below the population mean for 7 traits, including stature and cognitive ability, consistent with inbreeding depression estimated from individuals with low levels of inbreeding. Our study provides DNA-based quantification of the prevalence of EI in a European ancestry sample from the UK and measures its effects on health and fitness traits.
    MeSH term(s) Consanguinity ; European Continental Ancestry Group/genetics ; Family ; Female ; Genetics, Population ; Genome, Human/genetics ; Health Status ; Homozygote ; Humans ; Male ; Physical Fitness/physiology ; Polymorphism, Single Nucleotide/genetics ; United Kingdom
    Language English
    Publishing date 2019-09-03
    Publishing country England
    Document type Journal Article ; Observational Study ; Research Support, Non-U.S. Gov't
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-019-11724-6
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  10. Article ; Online: Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank.

    Kemper, Kathryn E / Sidorenko, Julia / Wang, Huanwei / Hayes, Ben J / Wray, Naomi R / Yengo, Loic / Keller, Matthew C / Goddard, Michael / Visscher, Peter M

    Nature communications

    2024  Volume 15, Issue 1, Page(s) 3776

    Abstract: The causes of temporal fluctuations in adult traits are poorly understood. Here, we investigate the genetic determinants of within-person trait variability of 8 repeatedly measured anthropometric traits in 50,117 individuals from the UK Biobank. We found ...

    Abstract The causes of temporal fluctuations in adult traits are poorly understood. Here, we investigate the genetic determinants of within-person trait variability of 8 repeatedly measured anthropometric traits in 50,117 individuals from the UK Biobank. We found that within-person (non-directional) variability had a SNP-based heritability of 2-5% for height, sitting height, body mass index (BMI) and weight (P
    MeSH term(s) Humans ; United Kingdom ; Biological Specimen Banks ; Polymorphism, Single Nucleotide ; Male ; Female ; Body Mass Index ; Aged ; Quantitative Trait Loci ; Middle Aged ; Body Height/genetics ; Longitudinal Studies ; Apolipoproteins E/genetics ; Anthropometry ; Mendelian Randomization Analysis ; Bone Density/genetics ; Body Weight/genetics ; Adult ; Alzheimer Disease/genetics ; Genome-Wide Association Study ; Lumbar Vertebrae ; Alleles ; UK Biobank
    Chemical Substances Apolipoproteins E
    Language English
    Publishing date 2024-05-06
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-024-47802-7
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