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  1. Article ; Online: Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations

    Ying Wang / Jing Guo / Guiyan Ni / Jian Yang / Peter M. Visscher / Loic Yengo

    Nature Communications, Vol 11, Iss 1, Pp 1-

    2020  Volume 9

    Abstract: Polygenic scores (PGS) are often based on GWAS data from individuals of European ancestry, thus limiting their use in populations of non-European ancestry. Here, the authors predict the relative accuracy of PGS across ancestries and suggest that causal ... ...

    Abstract Polygenic scores (PGS) are often based on GWAS data from individuals of European ancestry, thus limiting their use in populations of non-European ancestry. Here, the authors predict the relative accuracy of PGS across ancestries and suggest that causal variants are mostly shared across continents.
    Keywords Science ; Q
    Language English
    Publishing date 2020-07-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations

    Ying Wang / Jing Guo / Guiyan Ni / Jian Yang / Peter M. Visscher / Loic Yengo

    Nature Communications, Vol 11, Iss 1, Pp 1-

    2020  Volume 9

    Abstract: Polygenic scores (PGS) are often based on GWAS data from individuals of European ancestry, thus limiting their use in populations of non-European ancestry. Here, the authors predict the relative accuracy of PGS across ancestries and suggest that causal ... ...

    Abstract Polygenic scores (PGS) are often based on GWAS data from individuals of European ancestry, thus limiting their use in populations of non-European ancestry. Here, the authors predict the relative accuracy of PGS across ancestries and suggest that causal variants are mostly shared across continents.
    Keywords Science ; Q
    Language English
    Publishing date 2020-07-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: The genetic relationship between female reproductive traits and six psychiatric disorders

    Guiyan Ni / Azmeraw T. Amare / Xuan Zhou / Natalie Mills / Jacob Gratten / S. Hong Lee

    Scientific Reports, Vol 9, Iss 1, Pp 1-

    2019  Volume 12

    Abstract: Abstract Female reproductive behaviours have important implications for evolutionary fitness and health of offspring. Here we used the second release of UK Biobank data (N = 220,685) to evaluate the association between five female reproductive traits and ...

    Abstract Abstract Female reproductive behaviours have important implications for evolutionary fitness and health of offspring. Here we used the second release of UK Biobank data (N = 220,685) to evaluate the association between five female reproductive traits and polygenic risk scores (PRS) projected from genome-wide association study summary statistics of six psychiatric disorders (N = 429,178). We found that the PRS of attention-deficit/hyperactivity disorder (ADHD) were strongly associated with age at first birth (AFB) (genetic correlation of −0.68 ± 0.03), age at first sexual intercourse (AFS) (−0.56 ± 0.03), number of live births (NLB) (0.36 ± 0.04) and age at menopause (−0.27 ± 0.04). There were also robustly significant associations between the PRS of eating disorder (ED) and AFB (0.35 ± 0.06), ED and AFS (0.19 ± 0.06), major depressive disorder (MDD) and AFB (−0.27 ± 0.07), MDD and AFS (−0.27 ± 0.03) and schizophrenia and AFS (−0.10 ± 0.03). These associations were mostly explained by pleiotropic effects and there was little evidence of causal relationships. Our findings can potentially help improve reproductive health in women, hence better child outcomes. Our findings also lend partial support to the evolutionary hypothesis that causal mutations underlying psychiatric disorders have positive effects on reproductive success.
    Keywords Medicine ; R ; Science ; Q
    Subject code 150
    Language English
    Publishing date 2019-08-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model

    Guiyan Ni / Julius van der Werf / Xuan Zhou / Elina Hyppönen / Naomi R. Wray / S. Hong Lee

    Nature Communications, Vol 10, Iss 1, Pp 1-

    2019  Volume 15

    Abstract: Complex traits are often influenced by genetic and non-genetic factors (such as environmental exposures), which are themselves interconnected. Here, the authors develop a method for disentangling genotype–covariate correlation and interaction, and ... ...

    Abstract Complex traits are often influenced by genetic and non-genetic factors (such as environmental exposures), which are themselves interconnected. Here, the authors develop a method for disentangling genotype–covariate correlation and interaction, and investigate their effects on estimating statistical genetic parameters.
    Keywords Science ; Q
    Language English
    Publishing date 2019-05-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model

    Guiyan Ni / Julius van der Werf / Xuan Zhou / Elina Hyppönen / Naomi R. Wray / S. Hong Lee

    Nature Communications, Vol 10, Iss 1, Pp 1-

    2019  Volume 15

    Abstract: Complex traits are often influenced by genetic and non-genetic factors (such as environmental exposures), which are themselves interconnected. Here, the authors develop a method for disentangling genotype–covariate correlation and interaction, and ... ...

    Abstract Complex traits are often influenced by genetic and non-genetic factors (such as environmental exposures), which are themselves interconnected. Here, the authors develop a method for disentangling genotype–covariate correlation and interaction, and investigate their effects on estimating statistical genetic parameters.
    Keywords Science ; Q
    Language English
    Publishing date 2019-05-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Age at first birth in women is genetically associated with increased risk of schizophrenia

    Guiyan Ni / Jacob Gratten / Naomi R. Wray / Sang Hong Lee / Schizophrenia Working Group of the Psychiatric Genomics Consortium

    Scientific Reports, Vol 8, Iss 1, Pp 1-

    2018  Volume 14

    Abstract: Abstract Previous studies have shown an increased risk for mental health problems in children born to both younger and older parents compared to children of average-aged parents. We previously used a novel design to reveal a latent mechanism of genetic ... ...

    Abstract Abstract Previous studies have shown an increased risk for mental health problems in children born to both younger and older parents compared to children of average-aged parents. We previously used a novel design to reveal a latent mechanism of genetic association between schizophrenia and age at first birth in women (AFB). Here, we use independent data from the UK Biobank (N = 38,892) to replicate the finding of an association between predicted genetic risk of schizophrenia and AFB in women, and to estimate the genetic correlation between schizophrenia and AFB in women stratified into younger and older groups. We find evidence for an association between predicted genetic risk of schizophrenia and AFB in women (P-value = 1.12E-05), and we show genetic heterogeneity between younger and older AFB groups (P-value = 3.45E-03). The genetic correlation between schizophrenia and AFB in the younger AFB group is −0.16 (SE = 0.04) while that between schizophrenia and AFB in the older AFB group is 0.14 (SE = 0.08). Our results suggest that early, and perhaps also late, age at first birth in women is associated with increased genetic risk for schizophrenia in the UK Biobank sample. These findings contribute new insights into factors contributing to the complex bio-social risk architecture underpinning the association between parental age and offspring mental health.
    Keywords Medicine ; R ; Science ; Q
    Subject code 300
    Language English
    Publishing date 2018-07-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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