Cindy G. Santander

SHADES, a deep learning framework, distinguishes evolutionary processes like neutrality, selection, and introgression using haplotype data from humans, outperforming existing methods.

This paper introduces a simulation framework to detect epidemic-driven selection by optimizing sampling design and analysis strategies.

This paper refutes claims of strong natural selection during the Black Death by showing statistical and technical flaws in the original analysis.

The paper introduces fastmixture, a model-based ancestry estimation method that is more accurate and faster than existing approaches for large genomic datasets.

This study sequenced impala genomes to investigate evolutionary stasis, finding genetic structure and reduced natural selection in eastern populations compared to southern African ones.

The paper investigates the impact of the LDLR p.G137S variant on metabolic health and cardiovascular disease risk in Greenlanders, finding it increases FH and cardiovascular disease risk in up to 30% of the population.

This study develops a novel pipeline to measure low-level transcription of HERV-K (HML-2) np9 and rec genes in cancer and embryos, finding their overexpression in multiple cancers and specific embryonic stages.

The paper identifies HERV-K (HML-2) genes np9 and rec as correlated with cancer stem cell and EMT biomarkers, suggesting their role in cancer malignancy and cell state transitions.