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. Author manuscript; available in PMC: 2025 Nov 1.
Published in final edited form as: Nat Genet. 2025 Apr 2;57(5):1074–1088. doi: 10.1038/s41588-025-02127-z
Gaps and Challenges Recommendations and Solutions
Limited inclusion of Latin American individuals in genomic studies
  • Some progress in PTSD, SCZ, BD, and MDD

  • Dominance of US-Based cohorts

  • Urgent need for focused research in Latin America

Consortia-building efforts, community-engaged research and funding sources
  • Engage local consortia, such as the LAGC, to facilitate genomic studies

  • Establish partnerships with patients, families, and advocates, via community based participatory research (CBPR) or Patient Advisory Boards (PAB)

  • Engage local researchers and provide genotyping/sequencing support

  • Public and private funding to support local research efforts

Lack of diversity in the researcher workforce
  • Research leadership does not reflect the studied population (i.e. first or last authorship)

  • Limited cultural sensitivity and ethical considerations

Training and career development programs
  • Train early-career stage LMIC researchers in advanced analysis

  • Provide funding opportunities

  • Develop training programs that avoid brain drain from the area

Biocolonialism and mistrust
  • LMIC researchers may be asked to provide data without significant involvement

  • Unequal benefit sharing as discoveries may benefit only high-income countries

  • Neglected translation of scientific output

Capacity building and equitable and sustainable collaborations
  • Resources to conduct studies locally

  • Local workshops to provide specialized training

  • Funding support for infrastructure

Lack of methodology and reference panels to account for complex admixture
  • Latin Americans have a heterogeneous ancestral composition

  • This complexity often leads to their exclusion due to concerns of population stratification

  • Fine-mapping more challenging due to heterogeneity in LD and effect sizes

Novel methods and reference panels
  • Methods must take admixture into account

  • Expanded reference panels for indigenous populations with ethical and local partnerships

  • New statistical fine-mapping methods are needed

Heterogeneity of outcomes and diagnosis assessment
  • Differences in the phenotype definition and information sources (e.g. medical records, self-reported) may lead to inconsistent results.

Appropriate and standardized assessments
  • Develop standardized outcome measures

  • Consider the cultural context