ArticlemedRxiv : the preprint server for health sciences2024
Whole-exome sequencing study of opioid dependence offers novel insights into the contributions of exome variants.
Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Current advances in the use of artificial intelligence in predicting and managing urological complications.International urology and nephrology · 2024Review
- Clinical artificial intelligence: teaching a large language model to generate recommendations that align with guidelines for the surgical management of GERD.Surgical endoscopy · 2024Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Opioid dependence (OD) is epidemic in the United States and it is associated with a variety of adverse health effects. Its estimated heritability is ∼50%, and recent genome-wide association studies have identified more than a dozen common risk variants. However, there are no published studies of rare OD risk variants. In this study, we analyzed whole-exome sequencing data from the Yale-Penn cohort, comprising 2,100 participants of European ancestry (EUR; 1,321 OD cases) and 1,790 of African ancestry (AFR; 864 cases). A novel low-frequency variant (rs746301110) in the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.