| scholarly article | Q13442814 |
| P50 | author | Robert Plomin | Q3401334 |
| Stuart J. Ritchie | Q64010764 | ||
| P2093 | author name string | Paul F O'Reilly | |
| Chandra A Reynolds | |||
| Jean-Baptiste Pingault | |||
| Saskia Selzam | |||
| P2860 | cites work | ‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?* | Q22066036 |
| Genetic studies of body mass index yield new insights for obesity biology | Q22305005 | ||
| The MOS 36-ltem Short-Form Health Survey (SF-36) | Q26778425 | ||
| Mendelian randomization: genetic anchors for causal inference in epidemiological studies | Q27002487 | ||
| Genotype-environment interaction and correlation in the analysis of human behavior | Q28253976 | ||
| Meta-analysis of the heritability of human traits based on fifty years of twin studies | Q28262090 | ||
| Common genetic variants associated with cognitive performance identified using the proxy-phenotype method | Q28655079 | ||
| GCTA: a tool for genome-wide complex trait analysis | Q29547216 | ||
| Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N=112 151) and 24 GWAS consortia | Q30275693 | ||
| Achievement-Relevant Personality: Relations with the Big Five and Validation of an Efficient Instrument | Q30405545 | ||
| The Cardiff Anomalous Perceptions Scale (CAPS): a new validated measure of anomalous perceptual experience | Q30485661 | ||
| Analytic approaches to twin data using structural equation models. | Q30706808 | ||
| A reference panel of 64,976 haplotypes for genotype imputation | Q33553419 | ||
| Pitfalls of predicting complex traits from SNPs | Q33896815 | ||
| Large-scale genomics unveils the genetic architecture of psychiatric disorders | Q33955116 | ||
| The high heritability of educational achievement reflects many genetically influenced traits, not just intelligence. | Q34408811 | ||
| Research review: Polygenic methods and their application to psychiatric traits | Q34434004 | ||
| The Strengths and Difficulties Questionnaire: a research note | Q34435238 | ||
| Defining the role of common variation in the genomic and biological architecture of adult human height | Q34441746 | ||
| Predicting educational achievement from DNA. | Q34534489 | ||
| Adolescent health and high school dropout: a prospective cohort study of 9000 Norwegian adolescents (the Young-HUNT) | Q35005267 | ||
| Strong genetic influence on a UK nationwide test of educational achievement at the end of compulsory education at age 16. | Q35069371 | ||
| Genetic link between family socioeconomic status and children's educational achievement estimated from genome-wide SNPs | Q35800037 | ||
| What can mendelian randomisation tell us about modifiable behavioural and environmental exposures? | Q36119363 | ||
| Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores | Q36133352 | ||
| Regression models for twin studies: a critical review | Q36222632 | ||
| Within- and between-group regression for improving the robustness of causal claims in cross-sectional analysis | Q36433117 | ||
| Phenome-wide analysis of genome-wide polygenic scores. | Q36619995 | ||
| The Genetics of Success: How Single-Nucleotide Polymorphisms Associated With Educational Attainment Relate to Life-Course Development | Q37099073 | ||
| Twins Early Development Study (TEDS): a genetically sensitive investigation of cognitive and behavioral development from childhood to young adulthood | Q37280917 | ||
| Literacy and numeracy are more heritable than intelligence in primary school | Q37327309 | ||
| Family-based genome-wide association studies | Q37389487 | ||
| Molecular Genetic Contributions to Social Deprivation and Household Income in UK Biobank. | Q37458960 | ||
| Genetic influence on family socioeconomic status and children's intelligence | Q37534971 | ||
| Polygenic Influence on Educational Attainment: New evidence from The National Longitudinal Study of Adolescent to Adult Health | Q37623856 | ||
| The Scale for the Assessment of Negative Symptoms (SANS): conceptual and theoretical foundations | Q38764185 | ||
| Self-report of ADHD shows limited agreement with objective markers of persistence and remittance | Q41182723 | ||
| Paranoia and self-consciousness | Q43835591 | ||
| Polygenic scores associated with educational attainment in adults predict educational achievement and ADHD symptoms in children | Q45761507 | ||
| Association analysis in over 329,000 individuals identifies 116 independent variants influencing neuroticism. | Q47562858 | ||
| The nature of nurture: Effects of parental genotypes | Q48163490 | ||
| The promise and pitfalls of combining genetic and economic research | Q48864144 | ||
| Using nature to understand nurture | Q49680253 | ||
| The new genetics of intelligence | Q50042331 | ||
| Educational Attainment and Personality Are Genetically Intertwined | Q50093053 | ||
| Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection. | Q50301210 | ||
| Childhood trajectories of inattention and hyperactivity and prediction of educational attainment in early adulthood: a 16-year longitudinal population-based study. | Q50792629 | ||
| The Nature of Nurture: Using a Virtual-Parent Design to Test Parenting Effects on Children's Educational Attainment in Genotyped Families. | Q52358743 | ||
| Capitalizing on Mendelian randomization to assess the effects of treatments. | Q53026884 | ||
| Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence | Q56967082 | ||
| Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals | Q56992644 | ||
| Genetic analysis of social-class mobility in five longitudinal studies | Q57243214 | ||
| Relatedness disequilibrium regression estimates heritability without environmental bias | Q57309256 | ||
| Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry | Q57463053 | ||
| Evidence for gene-environment correlation in child feeding: Links between common genetic variation for BMI in children and parental feeding practices | Q59793619 | ||
| Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder | Q60445524 | ||
| Psychometric Properties of an Abbreviated Instrument of the Five-Factor Model | Q60639444 | ||
| Reduced signal for polygenic adaptation of height in UK Biobank | Q64064869 | ||
| Global Biobank Engine: enabling genotype-phenotype browsing for biobank summary statistics | Q64120267 | ||
| Using genetic data to strengthen causal inference in observational research | Q89002017 | ||
| Predicting Polygenic Risk of Psychiatric Disorders | Q91427813 | ||
| Polygenic score for educational attainment captures DNA variants shared between personality traits and educational achievement | Q92670045 | ||
| Genomic prediction of cognitive traits in childhood and adolescence | Q93012085 | ||
| P433 | issue | 2 | |
| P304 | page(s) | 351-363 | |
| P577 | publication date | 2019-07-11 | |
| P1433 | published in | American Journal of Human Genetics | Q4744249 |
| P1476 | title | Comparing Within- and Between-Family Polygenic Score Prediction | |
| P478 | volume | 105 |
| Q90236541 | CATSLife: A Study of Lifespan Behavioral Development and Cognitive Functioning |
| Q96576411 | Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relatives |
| Q91952526 | Genetic Associations Between Childhood Psychopathology and Adult Depression and Associated Traits in 42 998 Individuals: A Meta-Analysis |
| Q98164511 | Genetic and environmental variation in educational attainment: an individual-based analysis of 28 twin cohorts |
| Q90859813 | Genetic correlates of social stratification in Great Britain |
| Q89564522 | Intergenerational Transmission of Education and ADHD: Effects of Parental Genotypes |
| Q98237660 | Sibling validation of polygenic risk scores and complex trait prediction |
| Q97692972 | Tutorial: a guide to performing polygenic risk score analyses |
| Q93058508 | Variable prediction accuracy of polygenic scores within an ancestry group |
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