Novel brown adipose tissue candidate genes predicted by the human gene connectome
Metadatos
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Nature
Fecha
2022-05-09Referencia bibliográfica
Salazar-Tortosa, D.F... [et al.]. Novel brown adipose tissue candidate genes predicted by the human gene connectome. Sci Rep 12, 7614 (2022). [https://doi.org/10.1038/s41598-022-11317-2]
Patrocinador
Marie S. Curie Global Fellowship within the European Union research and innovation framework programme ClimAHealth: 101030971; Spanish Ministry of Economy and Competitiveness, Fondo de Investigacion Sanitaria del Instituto de Salud Carlos III PI13/01393; Fondos Estructurales de la Union Europea (FEDER); Fundacion Iberoamericana de Nutricion (FINUT); Redes tematicas de investigacion cooperativa RETIC Red SAMID RD16/0022; AstraZeneca; University of Granada Plan Propio de Investigacion; Junta de Andalucia P18-624 RT-4455 CGL2013-47558-PResumen
Brown adipose tissue (BAT) is a promising therapeutic target against obesity. Therefore, research on
the genetic architecture of BAT could be key for the development of successful therapies against this
complex phenotype. Hypothesis-driven candidate gene association studies are useful for studying
genetic determinants of complex traits, but they are dependent upon the previous knowledge
to select candidate genes. Here, we predicted 107 novel-BAT candidate genes in silico using the
uncoupling protein one (UCP1) as the hallmark of BAT activity. We first identified the top 1% of human
genes predicted by the human gene connectome to be biologically closest to the UCP1, estimating
167 additional pathway genes (BAT connectome). We validated this prediction by showing that 60
genes already associated with BAT were included in the connectome and they were biologically closer
to each other than expected by chance (p < 2.2 × 10−
16). The rest of genes (107) are potential candidates
for BAT, being also closer to known BAT genes and more expressed in BAT biopsies than expected by
chance (p < 2.2 × 10−
16; p = 4.39 × 10–
02). The resulting new list of predicted human BAT genes should be
useful for the discovery of novel BAT genes and metabolic pathways.