Most teams start with curated derivatives of OMIM and Orphanet, often combined with their own editorial layer. SleekRank accepts CSV, JSON, REST, and WordPress CPTs. The minimum useful row carries slug, name, inheritance, geneSymbols, clinical features, prevalence, onset, and OMIM or Orpha codes.

The geneSymbols column accepts a list. The base template renders the list as labeled links into a sibling /genes/{slug}/ page group, and the related-pages cluster on each syndrome can surface other syndromes that share at least one gene. That tight coupling is the main reason genetics teams pick a data-driven model.

Most teams use a features column with a structured list of HPO terms, each carrying a label and an optional HPO code. The base template renders the list as a labeled tag cloud, and the HPO code lets you cross-link to an external HPO entry or to a separate features page group if you maintain one.

Yes. The base template can emit MedicalCondition schema using fields from the row, including alternateName from the aliases column, code from the OMIM or Orpha identifier, and associatedAnatomy from features. The FAQ accordion emits FAQPage JSON-LD per page.

Each row carries an aliases column. The base template renders aliases inline with the primary name and emits sameAs structured data so search engines understand that the alternative names refer to the same condition. That helps the site rank for synonym queries while keeping a single canonical URL per syndrome.

Yes. An advocacyGroups column carries a list of patient organizations and their URLs. The base template renders the list as a sidebar block on every syndrome page so patients and families find community resources alongside the clinical content.

Yes. Add a language column and parameterize the URL pattern as /{lang}/syndromes/{slug}/. Each language renders as its own URL with its own canonical, hreflang, and translated meta. Rows that share OMIM or Orpha codes across languages link through those codes in hreflang annotations.

Yes. Resolved rows live in the items cache table indexed by slug. Each request is an indexed lookup plus a normal Timber render. Per-request work does not scale with row count, so the dataset can grow into tens of thousands of conditions while TTFB stays effectively flat under managed WordPress with object caching.