rs11714337 - FOXP1

Magnitude 2.2 · 7 studies on file

Reported associations

• Gene-level analysis reveals the genetic aetiology and therapeutic targets of schizophrenia. - Nature human behaviour (2025) · Dang X, Teng Z, Yang Y, Li W, Liu J, Hui L, Zhou D, Gong D, Dai SS, Li Y, Li X, Lv L, Zeng Y, Yuan Y, Ma X, Liu Z, Li T, Luo XJ · PubMed 39753749

  Genome-wide association studies (GWASs) have reported multiple risk loci for schizophrenia (SCZ). However, the majority of the associations were from populations of European ancestry. Here we conducted a large-scale GWAS in Eastern Asian populations (29,519 cases and 44,392 controls) and identified ten Eastern Asian-specific risk loci, two of which have not been previously reported. A further cross-ancestry GWAS meta-analysis (96,806 cases and 492,818 controls) including populations from diverse ancestries identified 61 previously unreported risk loci. Systematic variant-level analysis, including fine mapping, functional genomics and expression quantitative trait loci, prioritized potential causal variants. Gene-level analyses, including transcriptome-wide association study, proteome-wide

• Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program - Unknown journal (n.d.) · Unknown authors · PubMed 39024449

  ABSTRACT: INTRODUCTION: Findings from genome-wide association studies (GWASs) have provided foundational knowledge of the genetic basis of disease, facilitating precision approaches for prevention and treatment. Current GWAS results are limited by underrepresentation of individuals from diverse populations, leading to concerns with generalizability regarding our knowledge of the relationships between genes, traits, and disease. The Department of Veterans Affairs (VA) Million Veteran Program (MVP), one of the largest US-based biobanks, addresses this need; 29% of MVP comprises individuals genetically similar to African (AFR), Admixed American (AMR), and East Asian (EAS) reference populations. With over 635,000 participants and more than 44.3M genotyped variants linked with detailed phenotyp

• Large-scale GWAS of food liking reveals genetic determinants and genetic correlations with distinct neurophysiological traits - Unknown journal (n.d.) · Unknown authors · PubMed 35585065

  ABSTRACT: We present the results of a GWAS of food liking conducted on 161,625 participants from the UK-Biobank. Liking was assessed over 139 specific foods using a 9-point scale. Genetic correlations coupled with structural equation modelling identified a multi-level hierarchical map of food-liking with three main dimensions: "Highly-palatable", "Acquired" and "Low-caloric". The Highly-palatable dimension is genetically uncorrelated from the other two, suggesting that independent processes underlie liking high reward foods. This is confirmed by genetic correlations with MRI brain traits which show with distinct associations. Comparison with the corresponding food consumption traits shows a high genetic correlation, while liking exhibits twice the heritability. GWAS analysis id

• Genome-wide association studies and Mendelian randomization analyses for leisure sedentary behaviours - Unknown journal (n.d.) · Unknown authors · PubMed 32317632

  ABSTRACT: Leisure sedentary behaviours are associated with increased risk of cardiovascular disease, but whether this relationship is causal is unknown. The aim of this study is to identify genetic determinants associated with leisure sedentary behaviours and to estimate the potential causal effect on coronary artery disease (CAD). Genome wide association analyses of leisure television watching, leisure computer use and driving behaviour in the UK Biobank identify 145, 36 and 4 genetic loci (P < 1×10−8), respectively. High genetic correlations are observed between sedentary behaviours and neurological traits, including education and body mass index (BMI). Two-sample Mendelian randomization (MR) analysis estimates a causal effect between 1.5 hour increase in television watching and

• Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income - Unknown journal (n.d.) · Unknown authors · PubMed 31844048

  ABSTRACT: Socioeconomic position (SEP) is a multi-dimensional construct reflecting (and influencing) multiple socio-cultural, physical, and environmental factors. In a sample of 286,301 participants from UK Biobank, we identify 30 (29 previously unreported) independent-loci associated with income. Using a method to meta-analyze data from genetically-correlated traits, we identify an additional 120 income-associated loci. These loci show clear evidence of functionality, with transcriptional differences identified across multiple cortical tissues, and links to GABAergic and serotonergic neurotransmission. By combining our genome wide association study on income with data from eQTL studies and chromatin interactions, 24 genes are prioritized for follow up, 18 of which were previously assoc

• Mapping genomic loci implicates genes and synaptic biology in schizophrenia - Unknown journal (n.d.) · Unknown authors · PubMed 35396580

  ABSTRACT: SUMMARY Schizophrenia has a heritability of 60-80%, much of which is attributable to common risk alleles. Here, in a 2-stage genome-wide association study of up to 76,755 people with schizophrenia and 243,649 controls, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes expressed in CNS neurons, excitatory and inhibitory, but not other tissues or cell types. Using fine-mapping and functional genomic data, we identify 120 genes (106 protein-coding) as likely to underpin associations at some of these loci, including 16 genes with credible causal non-synonymous or UTR variation. We also implicate fundamental processes related to neuronal function, including synaptic organisation, differentiation, and transmission. Fine-mapped

• Genetic diversity fuels gene discovery for tobacco and alcohol use - Unknown journal (n.d.) · Unknown authors · PubMed 36477530

  ABSTRACT: Tobacco and alcohol use are heritable behaviours associated with 15% and 5.3% of worldwide deaths, respectively, due largely to broad increased risk for disease and injury. These substances are used across the globe, yet genome-wide association studies have focused largely on individuals of European ancestries. Here we leveraged global genetic diversity across 3.4 million individuals from four major clines of global ancestry (approximately 21% non-European) to power the discovery and fine-mapping of genomic loci associated with tobacco and alcohol use, to inform function of these loci via ancestry-aware transcriptome-wide association studies, and to evaluate the genetic architecture and predictive power of polygenic risk within and across populations. We found that increases in s

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