Marcel Amills

This study links geography and mutation profiles in goat species, finding strong correlations between specific mutations and geographic coordinates.

This study constructs a multi-tissue cell atlas of pigs, identifies cell-type-specific gene regulation, and links these to complex traits and human phenotypes.

The paper presents a multi-tissue sheep atlas identifying regulatory variants and their effects on molecular phenotypes, revealing allelic heterogeneity and evolutionary patterns.

This paper uses genotype imputation to analyze low coverage ancient goat genomes, revealing demographic patterns and genetic consequences of domestication.

The study identifies miRNA polymorphisms in goats, finding low variation in seed regions due to purifying selection and higher variation in regulatory regions of isolated populations.

The paper performs a multi-breed meta-GWAS in pigs to identify genomic regions associated with complex traits and integrates with PigGTEx to prioritize variant-gene-tissue-trait circuits.

The paper presents PigGTEx, a resource linking genetic variants to transcriptomic phenotypes in pigs, showing pigs' similarity to humans in gene regulation and complex traits.

The paper uses EISA to distinguish post-transcriptional regulation by miRNAs from transcriptional changes in pig tissues, identifying miRNA-target interactions in muscle and adipose tissues.

The paper assesses how SNP calling quality affects TRD detection in goats, finding that low-quality SNPs can produce false TRD signals.

The paper identifies miRNA SNPs in pigs and associates them with lipid traits and gene expression, finding a significant SNP in the apical loop of ssc-miR-326 linked to PPP1CC mRNA levels.

The paper analyzes mitochondrial diversity in Italian pig breeds and wild boars, finding low diversity in pigs consistent with population bottlenecks and suggesting the E2 haplogroup was rare during domestication.

The paper investigates the genetic regulation of 63 lipid metabolism genes in pig skeletal muscle using eQTL analysis and identifies 12 cis- and 18 trans-eQTLs affecting 19 loci.