Expressive

rs10878984 - LINC02373

Magnitude 2.0 · 8 studies on file

Reported associations

  • Genetic Insights into Head-to-Body Ratios Via Deep Learning-Based Image Segmentation and Implications for Common Diseases - Nature communications (2026) · Shi W, Dong SS, Zhu RJ, Tang SH, Wang JH, Jiang F, Wu H, Duan YY, Guo J, Liu K, Li ZQ, Li M, Wang J, Guo Y, Yang TL · PubMed 41444482

    ABSTRACT: Head-to-body ratios (HBRs) are important anthropometric traits with direct relevance to human growth, development, and disease risk. However, the role of the proportions between head and body remains understudied, with the genetic basis of HBRs remaining largely unexplored. By applying deep learning models to 38,202 whole-body dual-energy X-ray absorptiometry images from the UK Biobank, we generated 10 distinct HBR phenotypes based on head (length/width) and various body dimensions. Our genome-wide association analyses identify 245 significant loci, with SNP-based heritability estimates ranging from 25% to 43%. Functional annotations show that genes prioritized for HBRs are enriched in chondrocytes in skeletal tissues and oligodendrocytes across multiple brain regions. Polygenic

  • Global multi-ancestry genome-wide analyses identify genes and biological pathways associated with thyroid cancer and benign thyroid diseases - Nature genetics (2026) · White SL, Brasher MS, Pattee J, Zhou W, Chapman S, Jee YH, Bell CC, Jamil TL, Barrio M, Arehart CH, Evans LM, Hirbo J, Cox NJ, Straub P, Namba S, Bertucci-Richter E, Guare L, Edris A, Morris S, Mulford AJ, Zhang H, Fennessy B, Tobin MD, Chen J, Williams AT, John C, van Heel DA, Mathur R, Finer S, Moksnes MR, Brumpton BM, Åsvold BO, Peculis R, Rovite V, Konrade I, Wang Y, Crooks K, Chavan S, Fisher MJ, Rafaels N, Lin M, Shortt JA, Sanders AR, Whiteman DC, MacGregor S, Medland SE, Thorsteinsdóttir U, Stefánsson K, Karaderi T, Egan KM, Bocklage T, McCrary HC, Riedlinger G, Salhia B, Shriver C, Phan MD, Farlow JL, Edge S, Kaur V, Churchman ML, Rounbehler RJ, Brock PL, Ringel MD, Pividori M, Schweppe R, Raeburn CD, Walters RG, Chen Z, Li L, Matsuda K, Okada Y, Zöllner S, Verma A, Preuss MH, Kenny E, Hendricks AE, Fishbein L, Kraft P, Daly MJ, Neale BM, Martin AR, Cole JB, Haugen BR, Gignoux CR, Pozdeyev N · PubMed 41644669

    ABSTRACT: Thyroid diseases are common and highly heritable. We performed a meta-analysis of genome-wide association studies from 19 biobanks for five thyroid diseases: thyroid cancer (ThC), benign nodular goiter, Graves' disease, lymphocytic thyroiditis and primary hypothyroidism. We analyzed genetic association data from ~2.9 million genomes and identified 313 known and 570 new independent loci linked to thyroid diseases. We discovered genetic correlations between ThC, benign nodular goiter and autoimmune thyroid diseases (rg = 0.16-0.97). Telomere maintenance genes contributed to benign and malignant thyroid nodular disease risk, whereas cell cycle, DNA repair and damage response genes were associated with ThC. We propose a paradigm that explains genetic predisposition to benign

  • 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%

  • Genome-wide association study and polygenic risk prediction of hypothyroidism - Nature genetics (2025) · Rand SA, Ahlberg G, Tragante V, Monfort LM, Zheng C, Feldt-Rasmussen U, Klose MC, Teder-Laving M, Metspalu A, Poulsen HE, Ellervik C, Nygaard B, Erikstrup C, Bruun MT, A Jensen B, Ullum H, Brunak S, Schwinn M, Ostrowski SR, Pedersen OB, Sørensen E, Jonsdottir I, Gudbjartsson DF, Thorleifsson G, Holm H, Saevarsdottir S, Stefansson K, Salling Olesen M, Bundgaard H, Ghouse J · PubMed 41238958

    ABSTRACT: We performed a genome-wide meta-analysis of hypothyroidism (113,393 cases and 1,065,268 controls), free thyroxine (191,449 individuals) and thyroid-stimulating hormone (482,873 individuals). We identified 350 loci associated with hypothyroidism, including 179 not previously reported, 29 of which were linked through thyroid-stimulating hormone. We found that many hypothyroidism risk loci regulate blood cell counts and the circulating inflammasome, and through multiple gene-mapping strategies, we prioritized 259 putative causal genes enriched in immune-related functions. We developed a polygenic risk score (PRS) based on more than 115,000 hypothyroidism cases to address diagnostic challenges in individuals with or at risk of thyroid hormone deficiency. We show that the highest pred

  • A scalable variational inference approach for increased mixed-model association power - Nature genetics (2025) · Loya H, Kalantzis G, Cooper F, Palamara PF · PubMed 39789286

    ABSTRACT: The rapid growth of modern biobanks is creating new opportunities for large-scale genome-wide association studies (GWASs) and the analysis of complex traits. However, performing GWASs on millions of samples often leads to trade-offs between computational efficiency and statistical power, reducing the benefits of large-scale data collection efforts. We developed Quickdraws, a method that increases association power in quantitative and binary traits without sacrificing computational efficiency, leveraging a spike-and-slab prior on variant effects, stochastic variational inference and graphics processing unit acceleration. We applied Quickdraws to 79 quantitative and 50 binary traits in 405,088 UK Biobank samples, identifying 4.97% and 3.25% more associations than REGENIE and 22.71%

  • The genetic architecture of hip shape and its role in the development of hip osteoarthritis and fracture - Human molecular genetics (2025) · Faber BG, Frysz M, Zheng J, Lin H, Flynn KA, Ebsim R, Saunders FR, Beynon R, Gregory JS, Aspden RM, Harvey NC, Lindner C, Cootes T, Evans DM, Davey Smith G, Gao X, Wang S, Kemp JP, Tobias JH · PubMed 39574169

    ABSTRACT: Abstract Objectives Hip shape is thought to be an important causal risk factor for hip osteoarthritis and fracture. We aimed to identify genetic determinants of hip shape and use these to assess causal relationships with hip osteoarthritis. Methods Statistical hip shape modelling was used to derive 10 hip shape modes (HSMs) from DXA images in UK Biobank and Shanghai Changfeng cohorts (ntotal = 43 485). Genome-wide association study meta-analyses were conducted for each HSM. Two-sample Mendelian randomisation (MR) was used to estimate causal effects between HSM and hip osteoarthritis using hip fracture as a positive control. Results Analysis of the first 10 HSMs identified 203 independent association signals (P < 5 × 10−9). Hip shape SNPs were also associated (P <

  • Femoral neck width genetic risk score is a novel independent risk factor for hip fractures - Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research (2024) · Tobias JH, Nethander M, Faber BG, Heppenstall SV, Ebsim R, Cootes T, Lindner C, Saunders FR, Gregory JS, Aspden RM, Harvey NC, Kemp JP, Frysz M, Ohlsson C · PubMed 38477772

    ABSTRACT: Abstract Femoral neck width (FNW) derived from DXA scans may provide a useful adjunct to hip fracture prediction. Therefore, we investigated whether FNW is related to hip fracture risk independently of femoral neck bone mineral density (FN-BMD), using a genetic approach. FNW was derived from points automatically placed on the proximal femur using hip DXA scans from 38 150 individuals (mean age 63.8 yr, 48.0% males) in UK Biobank (UKB). Genome-wide association study (GWAS) identified 71 independent genome-wide significant FNW SNPs, comprising genes involved in cartilage differentiation, hedgehog, skeletal development, in contrast to SNPs identified by FN-BMD GWAS which primarily comprised runx1/Wnt signaling genes (MAGMA gene set analyses). FNW and FN-BMD SNPs were used to gene

  • New role of fat-free mass in cancer risk linked with genetic predisposition - Scientific reports (2024) · Harris BHL, Di Giovannantonio M, Zhang P, Harris DA, Lord SR, Allen NE, Maughan TS, Bryant RJ, Harris AL, Bond GL, Buffa FM · PubMed 38538606

    ABSTRACT: Cancer risk is associated with the widely debated measure body mass index (BMI). Fat mass and fat-free mass measurements from bioelectrical impedance may further clarify this association. The UK Biobank is a rare resource in which bioelectrical impedance and BMI data was collected on ~ 500,000 individuals. Using this dataset, a comprehensive analysis using regression, principal component and genome-wide genetic association, provided multiple levels of evidence that increasing whole body fat (WBFM) and fat-free mass (WBFFM) are both associated with increased post-menopausal breast cancer risk, and colorectal cancer risk in men. WBFM was inversely associated with prostate cancer. We also identified rs615029[T] and rs1485995[G] as associated in independent analyses with both PMB

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