rs121908120 - WNT10A
Magnitude 2.0 · 8 studies on file
Reported associations
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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%
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Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program - Science (New York, N.Y.) (2024) · Verma A, Huffman JE, Rodriguez A, Conery M, Liu M, Ho YL, Kim Y, Heise DA, Guare L, Panickan VA, Garcon H, Linares F, Costa L, Goethert I, Tipton R, Honerlaw J, Davies L, Whitbourne S, Cohen J, Posner DC, Sangar R, Murray M, Wang X, Dochtermann DR, Devineni P, Shi Y, Nandi TN, Assimes TL, Brunette CA, Carroll RJ, Clifford R, Duvall S, Gelernter J, Hung A, Iyengar SK, Joseph J, Kember R, Kranzler H, Kripke CM, Levey D, Luoh SW, Merritt VC, Overstreet C, Deak JD, Grant SFA, Polimanti R, Roussos P, Shakt G, Sun YV, Tsao N, Venkatesh S, Voloudakis G, Justice A, Begoli E, Ramoni R, Tourassi G, Pyarajan S, Tsao P, O'Donnell CJ, Muralidhar S, Moser J, Casas JP, Bick AG, Zhou W, Cai T, Voight BF, Cho K, Gaziano JM, Madduri RK, Damrauer S, Liao KP · 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
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Fine-mapping and cell-specific enrichment at corneal resistance factor loci prioritize candidate causal regulatory variants - Communications biology (2021) · Jiang X, Dellepiane N, Pairo-Castineira E, Boutin T, Kumar Y, Bickmore WA, Vitart V · PubMed 33311554
ABSTRACT: Corneal resistance factor (CRF) is altered during corneal diseases progression. Genome-wide-association studies (GWAS) indicated potential CRF and disease genetics overlap. Here, we characterise 135 CRF loci following GWAS in 76029 UK Biobank participants. Enrichment of extra-cellular matrix gene-sets, genetic correlation with corneal thickness (70% (SE = 5%)), reported keratoconus risk variants at 13 loci, all support relevance to corneal stroma biology. Fine-mapping identifies a subset of 55 highly likely causal variants, 91% of which are non-coding. Genomic features enrichments, using all associated variants, also indicate prominent regulatory causal role. We newly established open chromatin landscapes in two widely-used human cornea immortalised cell lines using ATAC-seq.
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Genome-Wide Association Study Identifies Genetic Associations with Perceived Age - The Journal of investigative dermatology (2021) · Roberts V, Main B, Timpson NJ, Haworth S · PubMed 32339537
ABSTRACT: Failure of dermal protection or repair mechanisms might lead to visibly aged skin. The study aimed to identify genetic associations with perceived age. A genome-wide association study was undertaken in 423,992 adult participants of UK Biobank, using questionnaire data on perceived age and genetic data imputed to the Haplotype Reference Consortium imputation panel. The study identified 74 independently associated genetic loci, to our knowledge previously unreported (P < 5 × 10−8), which were enriched for cell signaling pathways, including the NEK6 and SMAD2 subnetworks. Common genetic variation was estimated to account for 14% of variation in perceived age, and the heritability of perceived age was partially shared with that of 75 other traits, including multiple traits repres
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Meta-analysis of 542,934 subjects of European ancestry identifies new genes and mechanisms predisposing to refractive error and myopia - Nature genetics (2020) · Hysi PG, Choquet H, Khawaja AP, Wojciechowski R, Tedja MS, Yin J, Simcoe MJ, Patasova K, Mahroo OA, Thai KK, Cumberland PM, Melles RB, Verhoeven VJM, Vitart V, Segre A, Stone RA, Wareham N, Hewitt AW, Mackey DA, Klaver CCW, MacGregor S, Khaw PT, Foster PJ, Guggenheim JA, Rahi JS, Jorgenson E, Hammond CJ · PubMed 32231278
ABSTRACT: Refractive errors, in particular myopia, are a leading cause of morbidity and disability world-wide. Genetic investigation can improve understanding of the molecular mechanisms underlying abnormal eye development and impaired vision. We conducted a meta-analysis of genome-wide association studies involving 542,934 European participants and identified 336 novel genetic loci associated with refractive error. Collectively, all associated genetic variants explain 18.4% of heritability and improve the accuracy of myopia prediction (AUC=0.75). Our results suggest that refractive error is genetically heterogeneous, driven by genes participating in the development of every anatomical component of the eye. In addition, our analyses suggest that genetic factors controlling circadian rhythm
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Sequence variation at ANAPC1 accounts for 24% of the variability in corneal endothelial cell density - Nature communications (2019) · Ivarsdottir EV, Benonisdottir S, Thorleifsson G, Sulem P, Oddsson A, Styrkarsdottir U, Kristmundsdottir S, Arnadottir GA, Thorgeirsson G, Jonsdottir I, Zoega GM, Thorsteinsdottir U, Gudbjartsson DF, Jonasson F, Holm H, Stefansson K · PubMed 30894546
ABSTRACT: The corneal endothelium is vital for transparency and proper hydration of the cornea. Here, we conduct a genome-wide association study of corneal endothelial cell density (cells/mm2), coefficient of cell size variation (CV), percentage of hexagonal cells (HEX) and central corneal thickness (CCT) in 6,125 Icelanders and find associations at 10 loci, including 7 novel. We assess the effects of these variants on various ocular biomechanics such as corneal hysteresis (CH), as well as eye diseases such as glaucoma and corneal dystrophies. Most notably, an intergenic variant close to ANAPC1 (rs78658973[A], frequency = 28.3%) strongly associates with decreased cell density and accounts for 24% of the population variance in cell density (β = −0.77 SD, P = 1.8 × 10
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Genome-wide analysis of dental caries and periodontitis combining clinical and self-reported data - Nature communications (2019) · Shungin D, Haworth S, Divaris K, Agler CS, Kamatani Y, Keun Lee M, Grinde K, Hindy G, Alaraudanjoki V, Pesonen P, Teumer A, Holtfreter B, Sakaue S, Hirata J, Yu YH, Ridker PM, Giulianini F, Chasman DI, Magnusson PKE, Sudo T, Okada Y, Völker U, Kocher T, Anttonen V, Laitala ML, Orho-Melander M, Sofer T, Shaffer JR, Vieira A, Marazita ML, Kubo M, Furuichi Y, North KE, Offenbacher S, Ingelsson E, Franks PW, Timpson NJ, Johansson I · PubMed 31235808
ABSTRACT: Dental caries and periodontitis account for a vast burden of morbidity and healthcare spending, yet their genetic basis remains largely uncharacterized. Here, we identify self-reported dental disease proxies which have similar underlying genetic contributions to clinical disease measures and then combine these in a genome-wide association study meta-analysis, identifying 47 novel and conditionally-independent risk loci for dental caries. We show that the heritability of dental caries is enriched for conserved genomic regions and partially overlapping with a range of complex traits including smoking, education, personality traits and metabolic measures. Using cardio-metabolic traits as an example in Mendelian randomization analysis, we estimate causal relationships and provide evi
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Rare and Common Variants Conferring Risk of Tooth Agenesis. - Journal of dental research (2019) · Jonsson L, Magnusson TE, Thordarson A, Jonsson T, Geller F, Feenstra B, Melbye M, Nohr EA, Vucic S, Dhamo B, Rivadeneira F, Ongkosuwito EM, Wolvius EB, Leslie EJ, Marazita ML, Howe BJ, Moreno Uribe LM, Alonso I, Santos M, Pinho T, Jonsson R, Audolfsson G, Gudmundsson L, Nawaz MS, Olafsson S, Gustafsson O, Ingason A, Unnsteinsdottir U, Bjornsdottir G, Walters GB, Zervas M, Oddsson A, Gudbjartsson DF, Steinberg S, Stefansson H, Stefansson K · PubMed 29364747
We present association results from a large genome-wide association study of tooth agenesis (TA) as well as selective TA, including 1,944 subjects with congenitally missing teeth, excluding third molars, and 338,554 controls, all of European ancestry. We also tested the association of previously identified risk variants, for timing of tooth eruption and orofacial clefts, with TA. We report associations between TA and 9 novel risk variants. Five of these variants associate with selective TA, including a variant conferring risk of orofacial clefts. These results contribute to a deeper understanding of the genetic architecture of tooth development and disease. The few variants previously associated with TA were uncovered through candidate gene studies guided by mouse knockouts. Knowing the et
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