Alcohol Use Disorder Polygenic Score Compared With Family History and ADH1B
Dongbing Lai, Michael Zhang, Marco Abreu, Tae-Hwi Schwantes-An, Grace Chan, Danielle M. Dick, Chella Kamarajan, Weipeng Kuang, John I. Nurnberger, Martin H. Plawecki, John Rice, Marc Schuckit, Bernice Porjesz, Yunlong Liu, Tatiana Foroud · 2024
Read Alcohol Use Disorder Polygenic Score Compared With Family History and ADH1B by Dongbing Lai, Michael Zhang, Marco Abreu, Tae-Hwi Schwantes-An, Grace Chan, Danielle M. Dick, Chella Kamarajan, Weipeng Kuang, John I. Nurnberger, Martin H. Plawecki, John Rice, Marc Schuckit, Bernice Porjesz, Yunlong Liu, Tatiana Foroud (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11686414.txt.
Description
Dongbing Lai and fourteen co-authors compared a gene-based risk score for alcohol problems with simpler predictors, in a 2024 study. Knowing who faces high risk could target prevention earlier. The score sums many small genetic effects. Family history and one alcohol gene are the practical rivals. Three alcohol research cohorts trained the score. Two broad biobanks then tested it.
Screening cohorts held nearly nine thousand people, most of them cases. The best score was picked by a pruning method. Generality across populations of European ancestry was the test focus. Mixed models handled related participants. The paper weighs whether the score adds beyond family history. Clinical use needs that added value to justify testing costs. Results inform how genetic risk tools should be judged. Family history remains a cheap benchmark to beat.
Catalog record
| CREATOR | Dongbing Lai, Michael Zhang, Marco Abreu, Tae-Hwi Schwantes-An, Grace Chan, Danielle M. Dick, Chella Kamarajan, Weipeng Kuang, John I. Nurnberger, Martin H. Plawecki, John Rice, Marc Schuckit, Bernice Porjesz, Yunlong Liu, Tatiana Foroud |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 28 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |