rs117642368 - MAP3K14 - RNA5SP443
Magnitude 2.0 · 6 studies on file
Reported associations
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Combining cross-sectional and longitudinal genomic approaches to identify determinants of cognitive and physical decline - Nature communications (2025) · Schoeler T, Pingault JB, Kutalik Z · PubMed 40374629
ABSTRACT: Large-scale genomic studies focusing on the genetic contribution to human aging have mostly relied on cross-sectional data. With the release of longitudinally curated aging phenotypes by the UK Biobank (UKBB), it is now possible to study aging over time at genome-wide scale. In this work, we evaluated the suitability of competing models of change in realistic simulation settings, performed genome-wide association scans on simulation-validated measures of age-related deweekcline, and followed up with LD-score regression and Mendelian Randomization (MR) analyses. Focusing on global cognitive and physical function, we observed marked differences between baseline function (θ) and accelerated decline (Δ). Both outcomes showed distinct heritability levels (e.g., 31.38% versus 3.15%
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GWAS and multi-omics integrative analysis reveal novel loci and their molecular mechanisms for circulating fatty acids - HGG advances (2025) · Sun Y, Xu H, Ye K · PubMed 40545721
ABSTRACT: Summary Previous genome-wide association studies (GWAS) have identified genetic loci associated with the circulating levels of fatty acids (FAs), but the biological mechanisms of these genetic associations remain largely unexplored. Here, we conducted GWAS to identify additional genetic loci for 19 circulating FA traits in UK Biobank participants of European ancestry (n = 239,268) and five other ancestries (n = 508-4,663). We leveraged the GWAS findings to characterize genetic correlations and colocalized regions among FAs, explore sex differences, examine FA loci influenced by lipoprotein metabolism, and apply statistical fine-mapping to pinpoint putative causal variants. We integrated GWAS signals with multi-omics quantitative trait loci (QTL) to reveal intermediate molecular
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Larger cerebral cortex is genetically correlated with greater frontal area and dorsal thickness - Proceedings of the National Academy of Sciences of the United States of America (2023) · Makowski C, Wang H, Srinivasan A, Qi A, Qiu Y, van der Meer D, Frei O, Zou J, Visscher PM, Yang J, Chen CH · PubMed 36893272
ABSTRACT: Significance Adjusting vs. retaining global measures in analysis of brain MRI data has been a long-standing question and can have important implications for genomic studies of the cortex. Adjusting for global measures ensures that results for regions of interest are not confounded by overall larger brain size. However, adjusting for globals may throw away important signal when total and regional measures are correlated. We show that retaining vs. adjusting for global brain measures in genomic studies impacts gene discovery, particularly for fronto-parietal cortex. Understanding the genetic factors that contribute to expanded association areas in the human brain, such as the prefrontal cortex, can help provide mechanistic insight into higher human cognition and its unique developm
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Discovery of genomic loci of the human cerebral cortex using genetically informed brain atlases* - Science (New York, N.Y.) (2022) · Makowski C, van der Meer D, Dong W, Wang H, Wu Y, Zou J, Liu C, Rosenthal SB, Hagler DJ, Fan CC, Kremen WS, Andreassen OA, Jernigan TL, Dale AM, Zhang K, Visscher PM, Yang J, Chen CH · PubMed 35113692
ABSTRACT: To determine the impact of genetic variants on the brain, we used genetically-informed brain atlases in genome-wide association studies of regional cortical surface area and thickness in 39,898 adults and 9136 children. We uncovered 440 genome-wide significant loci in the discovery cohort and 800 from a post-hoc combined meta-analysis. Loci in adulthood were largely captured in childhood, showing signatures of negative selection, and were linked to early neurodevelopment and pathways associated with neuropsychiatric risk. Opposing gradations of decreased surface area and increased thickness were associated with common inversion polymorphisms. Inferior frontal regions, encompassing Broca's area which is important for speech, were enriched for human-specific genomic elements. Thu
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Leveraging Polygenic Functional Enrichment to Improve GWAS Power. - American journal of human genetics (2019) · Kichaev G, Bhatia G, Loh PR, Gazal S, Burch K, Freund MK, Schoech A, Pasaniuc B, Price AL · PubMed 30595370
Functional genomics data has the potential to increase GWAS power by identifying SNPs that have a higher prior probability of association. Here, we introduce a method that leverages polygenic functional enrichment to incorporate coding, conserved, regulatory, and LD-related genomic annotations into association analyses. We show via simulations with real genotypes that the method, functionally informed novel discovery of risk loci (FINDOR), correctly controls the false-positive rate at null loci and attains a 9%-38% increase in the number of independent associations detected at causal loci, depending on trait polygenicity and sample size. We applied FINDOR to 27 independent complex traits and diseases from the interim UK Biobank release (average N = 130K). Averaged across traits, we attaine
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Biological Insights Into Muscular Strength: Genetic Findings in the UK Biobank - Scientific reports (2019) · Tikkanen E, Gustafsson S, Amar D, Shcherbina A, Waggott D, Ashley EA, Ingelsson E · PubMed 29691431
ABSTRACT: We performed a large genome-wide association study to discover genetic variation associated with muscular strength, and to evaluate shared genetic aetiology with and causal effects of muscular strength on several health indicators. In our discovery analysis of 223,315 individuals, we identified 101 loci associated with grip strength (P <5 × 10−8). Of these, 64 were associated (P < 0.01 and consistent direction) also in the replication dataset (N = 111,610). eQTL analyses highlighted several genes known to play a role in neuro-developmental disorders or brain function, and the results from meta-analysis showed a significant enrichment of gene expression of brain-related transcripts. Further, we observed inverse genetic correlations of grip strength with cardiometa
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