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gwass  (23andMe)

 
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    23andMe gwass
    Gwass, supplied by 23andMe, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/gwass/gwass/pmc10882288__gpsych___2023___101369supp001-52-14-16
    Average 90 stars, based on 1 article reviews
    gwass - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Pyrolysis Gas Chromatography:

    Article Title: A genome-wide association study of a rage-related misophonia symptom and the genetic link with audiological traits, psychiatric disorders, and personality
    Article Snippet: .. The source GWASs are studies from 23andMe, UK Biobank and the Psychiatric Genomics Consortium (PGC). shows an overview of all the disorders and trait GWASs used, their sample sizes, and their source, and specifics on the measurement. ..

    Article Title: Association of major depression, schizophrenia and bipolar disorder with thyroid cancer: a bidirectional two-sample mendelian randomized study
    Article Snippet: .. It comprises three large-scale GWASs, the Psychiatric Genomics Consortium (PGC), the UK Biobank, and 23andme. ..

    Genome Wide:

    Article Title: Identifying novel links between cardiovascular disease and insomnia by Drosophila modeling of genes from a pleiotropic GWAS locus
    Article Snippet: .. Recent genome-wide association studies (GWASs) identified multiple significant loci for self-reported insomnia symptoms in UK Biobank and 23andMe participants., From these loci, we identified a single locus, represented by lead SNP rs4643373, that has also been previously associated with coronary artery disease., This locus provides a valuable opportunity to identify genes important for CVD and/or insomnia, and dissect potential genetic mechanisms underlying the link between cardiovascular function and sleep. ..

    other:

    Article Title: Evaluating genetically-predicted causal effects of lipoprotein(a) in human diseases: a phenome-wide Mendelian randomization study
    Article Snippet: We obtained those statistics from the “MVMR” package v0.374 in R v3.6.2, with the exposure summary statistics extracted from the UKB Lp(a), LDL-C, or apoB genetic association analysis, and the disease outcome summary statistics extracted from the 23andMe GWASs.

    Derivative Assay:

    Article Title: Understanding the educational inequalities in suicide attempts and their mediators: A Mendelian randomization study Contents
    Article Snippet: 37 2024;General Psychiatry, et al. Zhu J 7 Stroke 2018 29531354 MEGASTROKE Consortium 40,585/406,111 Log odds Atrial fibrillation 2018 30061737 Meta-analysis 60,620/970,216 Log odds Heart failure 2022 36376295 Meta-analysis 115,150/1,550,331 Log odds Type 2 diabetes 2022 35551307 DIAGRAM Consortium 80,154/853,816 Log odds Chronic obstructive pulmonary disease 2021 33574079 UK Biobank 55,907/297,408 Log odds Asthma 2020 32296059 Meta-analysis 88,486/447,859 Log odds Lung cancer 2017 28604730 Meta-analysis 29,266/29,266 Log odds Colorectal cancer 2022 36539618 Meta-analysis 78,473/107,143 Log odds Alzheimer's disease 2022 35379992 Meta-analysis 111,326/677,663 Log odds Parkinson's disease 2019 31701892 IPDGC 33,674/449,056 Log odds Multiple sclerosis 2019 31604244 IMSGC 47,429/68,374 Log odds Abbreviations: CARDIoGRAMplusC4D; Coronary Artery Disease Genome Wide Replication and Meta-analysis plus the Coronary Artery Disease Genetics; DIAGRAM, Diabetes Genetics Replication and Meta-analysis; GIANT, Genetic Investigation of Anthropometric Traits; GLGC, Global Lipids Genetics Consortium; GWAS, genome-wide association study; GSCAN, GWAS and Sequencing Consortium of Alcohol and Nicotine Use; ICC, International Cannabis Consortium; IMSGC, International Multiple Sclerosis Genetics Consortium; IPDGC, International Parkinson Disease Genomics Consortium; iPSYCH, Integrative Psychiatric Research; MAGIC, Meta-Analyses of Glucose and Insulin-related traits Consortium; MR, Mendelian randomization; SCALLOP, Systematic and Combined AnaLysis of Olink Proteins; SD, standard deviation; SSGAC, Social Science Genetic Association Consortium. aFor specific phenotypes, GWAS meta-analyses incorporated data from 23andMe. .. To enhance statistical power, when analyzing these phenotypes as exposures, we derived instruments from GWASs including 23andMe. .. However, due to institutional restrictions, we utilized full summary statistics without 23andMe data when considering these phenotypes as outcomes. doi: 10.1136/gpsych-2023-101369:e101369.



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    Image Search Results


    Fibromyalgia heritability enrichments among variants inside or within 100 kilobases of genes with enriched expression in a) tissues in the Genotype-Tissue Expression (GTEx) project, and b) cell types in PanSci, a ∼20 million whole-mouse single-cell atlas. Results are shown as negative log p-values for enrichment, grouped and colored by tissue group (GTEx) or cell lineage (PanSci), with random side-to-side jitter for visibility. Bonferroni-significant tissues and cell types are labeled. Full results are listed in Table S7-S9.

    Journal: medRxiv

    Article Title: The genetic architecture of fibromyalgia across 2.5 million individuals

    doi: 10.1101/2025.09.18.25335914

    Figure Lengend Snippet: Fibromyalgia heritability enrichments among variants inside or within 100 kilobases of genes with enriched expression in a) tissues in the Genotype-Tissue Expression (GTEx) project, and b) cell types in PanSci, a ∼20 million whole-mouse single-cell atlas. Results are shown as negative log p-values for enrichment, grouped and colored by tissue group (GTEx) or cell lineage (PanSci), with random side-to-side jitter for visibility. Bonferroni-significant tissues and cell types are labeled. Full results are listed in Table S7-S9.

    Article Snippet: The four fibromyalgia case/control GWASs performed at deCODE Genetics/Amgen (Iceland, Denmark, US Intermountain Health and US NashBio) all used the ICD-10 diagnosis M79.7 to define cases and no exclusions were applied to controls.

    Techniques: Expressing, Labeling

    a) Genetic correlations of the 337 disease endpoints with Bonferroni-significant genetic correlations with fibromyalgia, grouped by disease area. The area of each circle is proportional to the logarithm of its genetic correlation p-value. b) Genetic correlations of the 18 diseases with genetic correlation greater than 0.7; error bars denote 95% confidence intervals. Full results are listed in Table S10.

    Journal: medRxiv

    Article Title: The genetic architecture of fibromyalgia across 2.5 million individuals

    doi: 10.1101/2025.09.18.25335914

    Figure Lengend Snippet: a) Genetic correlations of the 337 disease endpoints with Bonferroni-significant genetic correlations with fibromyalgia, grouped by disease area. The area of each circle is proportional to the logarithm of its genetic correlation p-value. b) Genetic correlations of the 18 diseases with genetic correlation greater than 0.7; error bars denote 95% confidence intervals. Full results are listed in Table S10.

    Article Snippet: The four fibromyalgia case/control GWASs performed at deCODE Genetics/Amgen (Iceland, Denmark, US Intermountain Health and US NashBio) all used the ICD-10 diagnosis M79.7 to define cases and no exclusions were applied to controls.

    Techniques:

    Genetic correlation model with AN, impulsivity facets, SUDs, delay discounting, sensation seeking, and lack of perseverance, adapted from prior studies . Ovals indicate latent factors, and squares indicate individual GWAS summary statistics. In this model, a “common impulsivity” factor successfully captured the shared variance across selected measures of the UPPS-P and BIS scales. To capture the particularly high correlation among UPPS-P negative urgency and UPPS-P positive urgency subscales, we included a second latent factor called “urgency-specific impulsivity”, which was fixed to be uncorrelated with genetic variance in common impulsivity. The four SUDs were modeled using a single factor (“substance use disorders”). The values under each trait represent the residual variances of the indicators. The colors are included for ease of visualization (e.g., black, correlations with AN; blue, correlations with SUDs; orange, correlations among impulsivity facets). UPPS-P NU, UPPS-P Negative Urgency; UPPS-P PU, UPPS-P Positive Urgency; UPPS-P Premed, UPPS-P Premediation; BIS Nonplan, BIS Nonplanning; SUDs, substance use disorders; PAU, problematic alcohol use; CUD, cannabis use disorder; OUD, opioid use disorder; TUD, tobacco use disorder; SS, BIS Sensation Seeking; Persev, BIS Lack of Perseverance; DD, delay discounting; AN, anorexia nervosa; GWASs, genome-wide association studies.

    Journal: Frontiers in Psychiatry

    Article Title: Genomic structural equation study reveals links between anorexia nervosa and delay discounting and lack of perseverance but not other facets of impulsivity

    doi: 10.3389/fpsyt.2025.1613776

    Figure Lengend Snippet: Genetic correlation model with AN, impulsivity facets, SUDs, delay discounting, sensation seeking, and lack of perseverance, adapted from prior studies . Ovals indicate latent factors, and squares indicate individual GWAS summary statistics. In this model, a “common impulsivity” factor successfully captured the shared variance across selected measures of the UPPS-P and BIS scales. To capture the particularly high correlation among UPPS-P negative urgency and UPPS-P positive urgency subscales, we included a second latent factor called “urgency-specific impulsivity”, which was fixed to be uncorrelated with genetic variance in common impulsivity. The four SUDs were modeled using a single factor (“substance use disorders”). The values under each trait represent the residual variances of the indicators. The colors are included for ease of visualization (e.g., black, correlations with AN; blue, correlations with SUDs; orange, correlations among impulsivity facets). UPPS-P NU, UPPS-P Negative Urgency; UPPS-P PU, UPPS-P Positive Urgency; UPPS-P Premed, UPPS-P Premediation; BIS Nonplan, BIS Nonplanning; SUDs, substance use disorders; PAU, problematic alcohol use; CUD, cannabis use disorder; OUD, opioid use disorder; TUD, tobacco use disorder; SS, BIS Sensation Seeking; Persev, BIS Lack of Perseverance; DD, delay discounting; AN, anorexia nervosa; GWASs, genome-wide association studies.

    Article Snippet: GWASs of impulsivity were based on a sample of up to 133,517 23andMe Inc. research participants ( , ).

    Techniques: Cannabis, GWAS