Vagheesh M. Narasimhan

This paper shows that self-supervised cardiac-imaging phenotypes can encode field-of-view confounding, which affects genetic discovery and requires correction before association testing.

This paper introduces repare, a software method to automatically reconstruct pedigrees from ancient genomes using pairwise kinship relations, showing improved flexibility and accuracy over manual methods.

This study uses deep learning on UK Biobank DXA data to analyze the genetic architecture of pelvic morphology, finding heritable traits and genetic correlations related to the obstetrical dilemma.

Ancient DNA from 181 North Eurasian foragers traces a stable west-to-east ancestry gradient and ties Yakutia_LNBA ancestry, with Y-haplogroup N, to Uralic speakers and Seima-Turbino metallurgy.

This paper uses deep learning to phenotype knee osteoarthritis from medical images, improving GWAS power and polygenic risk score prediction compared to traditional methods.

The paper uses deep learning on DXA images to identify genetic variants affecting skeletal proportions and links these to evolutionary changes and disease risk.

This study uses multi-locus genotype identity scans on ancient DNA to detect natural selection in Holocene Europe, identifying new selection signals not found by single SNP approaches.

miqoGraph fits admixture graphs using mixed-integer quadratic optimization to infer topology, drift lengths, and admixture proportions simultaneously.

The paper uses ancient DNA data to trace the genetic origins and spread of Indo-European languages in South and Central Asia.

The paper estimates the human mutation rate using autozygous segments from 3,222 British-Pakistani individuals, finding a lower mutation rate than previous estimates and population-specific mutational patterns.