rs12231737 - TRAFD1

Magnitude 2.8 · 8 studies on file

Reported associations

• A genome-wide association study on adherence to low-carbohydrate diets in Japanese. - European journal of clinical nutrition (2022) · Nakamura Y, Tamura T, Narita A, Shimizu A, Sutoh Y, Takashima N, Matsui K, Miyagawa N, Kadota A, Miura K, Otonari J, Ikezaki H, Hishida A, Nagayoshi M, Okada R, Kubo Y, Tanaka K, Shimanoe C, Ibusuki R, Nishimoto D, Oze I, Ito H, Ozaki E, Matsui D, Mikami H, Kusakabe M, Suzuki S, Watanabe M, Arisawa K, Katsuura-Kamano S, Kuriki K, Nakatochi M, Momozawa Y, Kubo M, Takeuchi K, Wakai K · PubMed 35132194

  Low-carbohydrate diets (LCD) are useful for weight reduction, and 50-55% carbohydrate consumption is associated with minimal risk. Genetic differences were related to nutritional consumption, food preferences, and dietary patterns, but whether particular genetic differences in individuals influence LCD adherence is unknown. We conducted a GWAS on adherence to LCD utilizing 14,076 participants from the Japan Multi-Institutional Collaborative Cohort study. We used a previously validated semiquantitative food frequency questionnaire to estimate food consumption. Association of the imputed variants with the LCD score by Halton et al. we used linear regression analysis adjusting for sex, age, total dietary energy consumption, and components 1 to 10 by principal component analysis. We repeated t

• A genome-wide association study on confection consumption in a Japanese population: the Japan Multi-Institutional Collaborative Cohort Study. - The British journal of nutrition (2022) · Suzuki T, Nakamura Y, Doi Y, Narita A, Shimizu A, Imaeda N, Goto C, Matsui K, Kadota A, Miura K, Nakatochi M, Tanaka K, Hara M, Ikezaki H, Murata M, Takezaki T, Nishimoto D, Matsuo K, Oze I, Kuriyama N, Ozaki E, Mikami H, Nakamura Y, Watanabe M, Suzuki S, Katsuura-Kamano S, Arisawa K, Kuriki K, Momozawa Y, Kubo M, Takeuchi K, Kita Y, Wakai K · PubMed 33632354

  Differences in individual eating habits may be influenced by genetic factors, in addition to cultural, social or environmental factors. Previous studies suggested that genetic variants within sweet taste receptor genes family were associated with sweet taste perception and the intake of sweet foods. The aim of this study was to conduct a genome-wide association study (GWAS) to find genetic variations that affect confection consumption in a Japanese population. We analysed GWAS data on confection consumption using 14 073 participants from the Japan Multi-Institutional Collaborative Cohort study. We used a semi-quantitative FFQ to estimate food intake that was validated previously. Association of the imputed variants with confection consumption was performed by linear regression analysis wi

• Dyslipidaemia-Genotype Interactions with Nutrient Intake and Cerebro-Cardiovascular Disease - Unknown journal (n.d.) · Unknown authors · PubMed 35884923

  ABSTRACT: A comprehensive understanding of gene-diet interactions is necessary to establish proper dietary guidelines to prevent and manage cardio-cerebrovascular disease (CCD). We investigated the role of genetic variants associated with dyslipidaemia (DL) and their interactions with macro-nutrients for cardiovascular disease using a large-scale genome-wide association study of Korean adults. A total of 58,701 participants from a Korean genome and epidemiology study were included. Their dietary intake was assessed using a food frequency questionnaire. Dyslipidaemia was defined as total cholesterol (TCHL) ≥ 240 mg/dL, high-density lipoprotein (HDL) < 40 mg/dL, low-density lipoprotein (LDL) ≥ 160 mg/dL, triglycerides (TG) ≥ 200 mg/dL, or dyslipidaemia history. Their nutrient intake wa

• Interactions of Habitual Coffee Consumption by Genetic Polymorphisms with the Risk of Prediabetes and Type 2 Diabetes Combined - Unknown journal (n.d.) · Unknown authors · PubMed 32722627

  ABSTRACT: Habitual coffee consumption and its association with health outcomes may be modified by genetic variation. Adults aged 40 to 69 years who participated in the Korea Association Resource (KARE) study were included in this study. We conducted a genome-wide association study (GWAS) on coffee consumption in 7868 Korean adults, and examined whether the association between coffee consumption and the risk of prediabetes and type 2 diabetes combined was modified by the genetic variations in 4054 adults. In the GWAS for coffee consumption, a total of five single nucleotide polymorphisms (SNPs) located in 12q24.11-13 (rs2074356, rs11066015, rs12229654, rs11065828, and rs79105258) were selected and used to calculate weighted genetic risk scores. Individuals who had a larger number of minor a

• Genome-wide association study and fine-mapping on Korean biobank to discover renal trait-associated variants - Unknown journal (n.d.) · Unknown authors · PubMed 37919891

  ABSTRACT: Background Chronic kidney disease is a significant health burden worldwide, with increasing incidence. Although several genome-wide association studies (GWAS) have investigated single nucleotide polymorphisms (SNP) associated with kidney trait, most studies were focused on European ancestry. Methods We utilized clinical and genetic information collected from the Korean Genome and Epidemiology Study (KoGES). Results More than five million SNPs from 58,406 participants were analyzed. After meta-GWAS, 1,360 loci associated with estimated glomerular filtration rate (eGFR) at a genome-wide significant level (p = 5 × 10-8) were identified. Among them, 399 loci were validated with at least one other biomarker (blood urea nitrogen [BUN] or eGFRcysC) and 149 loci were validated using b

• Phenome-wide analysis of Taiwan Biobank reveals novel glycemia-related loci and genetic risks for diabetes - Unknown journal (n.d.) · Unknown authors · PubMed 36329257

  ABSTRACT: To explore the complex genetic architecture of common diseases and traits, we conducted comprehensive PheWAS of ten diseases and 34 quantitative traits in the community-based Taiwan Biobank (TWB). We identified 995 significantly associated loci with 135 novel loci specific to Taiwanese population. Further analyses highlighted the genetic pleiotropy of loci related to complex disease and associated quantitative traits. Extensive analysis on glycaemic phenotypes (T2D, fasting glucose and HbA1c) was performed and identified 115 significant loci with four novel genetic variants (HACL1, RAD21, ASH1L and GAK). Transcriptomics data also strengthen the relevancy of the findings to metabolic disorders, thus contributing to better understanding of pathogenesis. In addition, genetic risk sc

• The Korea Biobank Array: Design and Identification of Coding Variants Associated with Blood Biochemical Traits - Unknown journal (n.d.) · Unknown authors · PubMed 30718733

  ABSTRACT: We introduce the design and implementation of a new array, the Korea Biobank Array (referred to as KoreanChip), optimized for the Korean population and demonstrate findings from GWAS of blood biochemical traits. KoreanChip comprised >833,000 markers including >247,000 rare-frequency or functional variants estimated from >2,500 sequencing data in Koreans. Of the 833 K markers, 208 K functional markers were directly genotyped. Particularly, >89 K markers were presented in East Asians. KoreanChip achieved higher imputation performance owing to the excellent genomic coverage of 95.38% for common and 73.65% for low-frequency variants. From GWAS (Genome-wide association study) using 6,949 individuals, 28 associations were successfully recapitulated. Moreover, 9 missense variants

• Diversity and longitudinal records: Genetic architecture of disease associations and polygenic risk in the Taiwanese Han population - Unknown journal (n.d.) · Unknown authors · PubMed 40465716

  ABSTRACT: We addressed the underrepresentation of non-European populations in genome-wide association studies (GWASs) by building HiGenome, a large-scale genetic resource for the Taiwanese Han population. Using a custom genotyping array, we integrated deidentified electronic medical records (2003 to 2021) with genomic data to enable GWASs, phenome-wide association studies, and polygenic risk score (PRS) analysis. Among 413,000 participants, 323,397 passed ancestry and quality control filtering. GWASs covered 1085 traits, focusing on diseases prevalent in Taiwan such as type 2 diabetes, chronic kidney disease, gout, and alcoholic liver damage. PRSs were calculated for 238 traits, with the strongest associations observed in musculoskeletal disorders. Incorporating PRS into clinical practice

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