SynthesisJournal of medical genetics2018
Multitrait genome association analysis identifies new susceptibility genes for human anthropometric variation in the GCAT cohort.
Synthesis in Journal of medical genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 45 citations in OpenAlex.
- Multiomic integration analysis identifies atherogenic metabolites mediating between novel immune genes and cardiovascular risk.Genome medicine · 2024Pooled it
- Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits.Scientific reports · 2021Pooled it
- Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease.BMC medical genomics · 2020Pooled it
- Identifying sex-specific genetic effects across 733 traits in UK biobank.BMC genomics · 2026Article
- PolyGenie: a reproducible Nextflow pipeline for phenome-wide association studies using polygenic risk scores.NAR genomics and bioinformatics · 2026Article
- Haplotype-Based Analysis of OCA2 Variants in Oculocutaneous Albinism.Pigment cell & melanoma research · 2026Article
- Genetic affinities between the ancient Greek colony of Amvrakia and its metropolis.Genome biology · 2026Article
- Pre-pandemic disease trajectories and genetic insights into long COVID susceptibility.BMC medicine · 2025Article
- Investigation of lncRNA expression in newly diagnosed multiple myeloma reveals a LINC01432-CELF2 axis as an inhibitor of apoptosis.Oncogenesis · 2025Article
- Inferring past demography and genetic adaptation in Spain using the GCAT cohort.Scientific reports · 2025Article
- Identifying somatic fingerprints of cancers defined by germline and environmental risk factors.Genetic epidemiology · 2024Article
- Sex-Stratified Genome-Wide Association Study in the Spanish Population Identifies a Novel Locus for Lacunar Stroke.Stroke · 2024Article
- Article
- Decoding depression by exploring the exposome-genome edge amidst COVID-19 lockdown.Scientific reports · 2024Article
- Integrative functional genomic analyses identify genetic variants influencing skin pigmentation in Africans.Nature genetics · 2024Article
- Leveraging the transcriptome to further our understanding of GWAS findings: eQTLs associated with genes related to LDL and LDL subclasses, in a cohort of African Americans.Frontiers in genetics · 2024Article
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- Article
- Association of TYR SNP rs1042602 with Melanoma Risk and Prognosis.Life (Basel, Switzerland) · 2022Article
- Article
Corrections and comments
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Authors and funding
17 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHeritability estimates have revealed an important contribution of SNP variants for most common traits; however, SNP analysis by single-trait genome-wide association studies (GWAS) has failed to uncover their impact. In this study, we applied a multitrait GWAS approach to discover additional factor of the missing heritability of human anthropometric variation.
methodsWe analysed 205 traits, including diseases identified at baseline in the GCAT cohort (Genomes For Life- Cohort study of the Genomes of Catalonia) (n=4988), a Mediterranean adult population-based cohort study from the south of Europe. We estimated SNP heritability contribution and single-trait GWAS for all traits from 15 million SNP variants. Then, we applied a multitrait-related approach to study genome-wide association to anthropometric measures in a two-stage meta-analysis with the UK Biobank cohort (n=336 107).
resultsHeritability estimates (eg, skin colour, alcohol consumption, smoking habit, body mass index, educational level or height) revealed an important contribution of SNP variants, ranging from 18% to 77%. Single-trait analysis identified 1785 SNPs with genome-wide significance threshold. From these, several previously reported single-trait hits were confirmed in our sample with
conclusionConsidering multiple-related genetic phenotypes improve associated genome signal detection. These results indicate the potential value of data-driven multivariate phenotyping for genetic studies in large population-based cohorts to contribute to knowledge of complex traits.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.