rs1049068 - HLA-DQB1

Magnitude 2.2 · 2 studies on file

Reported associations

  • Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program - Unknown journal (n.d.) · Unknown authors · 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

  • A year of COVID-19 GWAS results from the GRASP portal reveals potential genetic risk factors - Unknown journal (n.d.) · Unknown authors · PubMed 35224516

    ABSTRACT: Host genetic variants influence the susceptibility and severity of several infectious diseases, and the discovery of genetic associations with coronavirus disease 2019 (COVID-19) phenotypes could help to develop new therapeutic strategies to decrease its burden. Between May 2020 and June 2021, we used COVID-19 data released periodically by UK Biobank and performed 65 genome-wide association studies in up to 18 releases of COVID-19 susceptibility (n = 18,481 cases in June 2021), hospitalization (n = 3,260), severe outcomes (n = 1,244), and deaths (n = 1,104), stratified by sex and ancestry. In coherence with previous studies, we observed two independent signals at the chr3p21.31 locus (rs73062389-A, odds ratio [OR], 1.21 (P = 4.26 × 10−15) and rs71325088-C, OR, 1.62 [P = 2.25


Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.

Lifestyle context

Concrete actions anchored to the cited research. We do not prescribe, we describe.

Discuss with your doctor

  • Genetic predisposition to head and neck cancers Moderate

    Sharing genetic risk information with healthcare providers enables tailored surveillance and prevention strategies

    Inform primary care provider, ENT specialist, or oncologist of this genetic finding

Lifestyle

  • Smoking and excessive alcohol consumption Moderate

    Genetic predisposition to head and neck cancers combines with well-established modifiable risk factors, creating compounding risk

    Avoid smoking; limit alcohol to no more than 1-2 drinks per day

Screening

  • Enhanced screening for head and neck cancers Moderate

    HLA-DQB1 rs1049068 C allele is associated with substantially elevated risk for laryngeal, pharyngeal, and nasal cancers (effect size 0.375)

    Discuss with ENT specialist or oncologist about age of screening initiation and surveillance intervals