Mendelianization: Concentrating Polygenic Signal Into a Single Causal Locus
Eric V. Strobl · 2026
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Description
Eric Strobl wrote a 2026 paper on a method that concentrates the genetic signal of complex disorders into a single location. Diseases like depression involve hundreds of gene variants, and the list grows with each bigger study. That sprawl makes mechanisms hard to read. Classic Mendelian diseases, by contrast, trace to one causal locus and are far easier to interpret.
The algorithm, called Mendelianization, learns weighted mixes of symptoms so that each mix links to just one locus. Strobl proves that locus is causal under four assumptions natural for genetic data. The method works from summary statistics alone and even handles overlapping samples. In tests on depression, anxiety, and alcohol use disorder, it boosted power to find single-locus profiles. An R package is shared openly for other researchers.
Catalog record
| CREATOR | Eric V. Strobl |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 73 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |