rs1045267 - MIR4435-2HG

Magnitude 2.2 · 6 studies on file

Reported associations

• Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program. - American journal of human genetics (2021) · Hu Y, Stilp AM, McHugh CP, Rao S, Jain D, Zheng X, Lane J, Méric de Bellefon S, Raffield LM, Chen MH, Yanek LR, Wheeler M, Yao Y, Ren C, Broome J, Moon JY, de Vries PS, Hobbs BD, Sun Q, Surendran P, Brody JA, Blackwell TW, Choquet H, Ryan K, Duggirala R, Heard-Costa N, Wang Z, Chami N, Preuss MH, Min N, Ekunwe L, Lange LA, Cushman M, Faraday N, Curran JE, Almasy L, Kundu K, Smith AV, Gabriel S, Rotter JI, Fornage M, Lloyd-Jones DM, Vasan RS, Smith NL, North KE, Boerwinkle E, Becker LC, Lewis JP, Abecasis GR, Hou L, O'Connell JR, Morrison AC, Beaty TH, Kaplan R, Correa A, Blangero J, Jorgenson E, Psaty BM, Kooperberg C, Walton RT, Kleinstiver BP, Tang H, Loos RJF, Soranzo N, Butterworth AS, Nickerson D, Rich SS, Mitchell BD, Johnson AD, Auer PL, Li Y, Mathias RA, Lettre G, Pankratz N, Laurie CC, Laurie CA, Bauer DE, Conomos MP, Reiner AP · PubMed 33887194

  Whole-genome sequencing (WGS), a powerful tool for detecting novel coding and non-coding disease-causing variants, has largely been applied to clinical diagnosis of inherited disorders. Here we leveraged WGS data in up to 62,653 ethnically diverse participants from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program and assessed statistical association of variants with seven red blood cell (RBC) quantitative traits. We discovered 14 single variant-RBC trait associations at 12 genomic loci, which have not been reported previously. Several of the RBC trait-variant associations (RPN1, ELL2, MIDN, HBB, HBA1, PIEZO1, and G6PD) were replicated in independent GWAS datasets imputed to the TOPMed reference panel. Most of these discovered variants are rare/low frequency, and several are ob

• Trans-ethnic and ancestry-specific blood-cell genetics in 746,667 individuals from 5 global populations - Unknown journal (n.d.) · Unknown authors · PubMed 32888493

  ABSTRACT: SUMMARY Most loci identified by GWAS have been found in populations of European ancestry (EUR). In trans-ethnic meta-analyses for 15 hematological traits in 746,667 participants, including 184,535 non-EUR individuals, we identified 5,552 trait-variant associations at P<5×10−9, including 71 novel loci not found in EUR populations. We also identified 28 additional novel variants in ancestry-specific, non-EUR meta-analyses, including an IL7 missense variant in South Asians associated with lymphocyte count in vivo and IL7 secretion levels in vitro. Fine-mapping prioritized variants annotated as functional, and generated 95% credible sets that were 30% smaller when using the trans-ethnic as opposed to the EUR-only results. We explored the clinical significance and predictive value

• A scalable variational inference approach for increased mixed-model association power - Unknown journal (n.d.) · Unknown authors · 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%

• Inflammatory and infectious upper respiratory diseases associate with 41 genomic loci and type 2 inflammation - Unknown journal (n.d.) · Unknown authors · PubMed 36653354

  ABSTRACT: Inflammatory and infectious upper respiratory diseases (ICD-10: J30-J39), such as diseases of the sinonasal tract, pharynx and larynx, are growing health problems yet their genomic similarity is not known. We analyze genome-wide association to eight upper respiratory diseases (61,195 cases) among 260,405 FinnGen participants, meta-analyzing diseases in four groups based on an underlying genetic correlation structure. Aiming to understand which genetic loci contribute to susceptibility to upper respiratory diseases in general and its subtypes, we detect 41 independent genome-wide significant loci, distinguishing impact on sinonasal or pharyngeal diseases, or both. Fine-mapping implicated non-synonymous variants in nine genes, including three linked to immune-related diseases. Phen

• Assessing the impact of alcohol consumption on the genetic contribution to mean corpuscular volume - Unknown journal (n.d.) · Unknown authors · PubMed 34104963

  ABSTRACT: Abstract The relationship between the genetic loci that influence mean corpuscular volume (MCV) and those associated with excess alcohol drinking is unknown. We used white British participants from the UK Biobank (n = 362 595) to assess the association between alcohol consumption and MCV, and whether this was modulated by genetic factors. Multivariable regression was applied to identify predictors of MCV. GWAS, with and without stratification for alcohol consumption, determined how genetic variants influence MCV. SNPs in ADH1B, ADH1C and ALDH1B were used to construct a genetic score to test the assumption that acetaldehyde formation is an important determinant of MCV. Additional investigations using Mendelian randomization and phenome­wide association analysis were conduct

• The Polygenic and Monogenic Basis of Blood Traits and Diseases - Unknown journal (n.d.) · Unknown authors · PubMed 32888494

  ABSTRACT: Summary Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant global health burden. Here we integrate data from UK Biobank and a large-scale international collaborative effort, including data for 563,085 European ancestry participants, and discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering a range of variation impacting hematopoiesis. We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering v

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