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Hillman, S.

Publications and source records attributed to Hillman, S..

2 recordsLinked to original sources

Ribosomal DNA copy number is associated with body mass in humans and other mammals

Body mass results from a complex interplay between genetics and environment. The contribution of genetic variation to body mass has been extensively studied, but due to the technical limitations of platforms used for population scale studies, repetitive parts of the genome have not previously been considered. Here we applied genome-wide approaches to identify an association between adult body mass and the copy number (CN) of 45S-ribosomal DNA (rDNA). rDNA codes for the rRNA components of the ribosome and exists in hundreds of copies/cell in mammals. Inter-individual variation in rDNA CN has not previously been documented but has not been associated with a mammalian phenotype. Here, we show that germ-line inherited rDNA CN is associated with post-pubertal growth rate in rats and BMI in adult humans. rDNA CN variation is not associated with rRNA transcription rates in adult tissues, suggesting the mechanistic link occurs earlier in development. This is supported by our observation that it is growth rate and body mass, rather than obesity that are associated with copy number and that these phenotypes emerge prior to adulthood. We present hypotheses for future investigation into the mechanistic basis of this association.

genomics↗

Population History and Genome Wide Association Studies of Birth Weight in a Native High Altitude Ladakhi Population

Pathological low birth weight due to fetal growth restriction (FGR)is an important predictor of adverse obstetric and neonatal outcomes. It is more common amongst native lowlanders when gestating in the hypoxic environment of high altitude, whilst populations who have resided at high altitude for many generations are relatively protected. Genetic study of pregnant populations at high altitude permits exploration of the role of hypoxic in FGR pathogenesis, and perhaps of FGR pathogenesis more broadly. We studied the umbilical cord blood DNA of 316 neonates born to pregnant women managed at the Sonam Norboo Memorial Hospital, Ladakh (altitude 3540m) between February 2017-January 2019. Principal component, admixture and genome wide association studies (GWAS) were applied to dense single nucleotide polymorphism (SNP) genetic data, to explore ancestry and genetic predictors of low birth weight. Our findings support Tibetan ancestry in the Ladakhi population, with subsequent admixture with neighboring Indo-Aryan populations. Fetal growth protection was evident in Ladakhi neonates. Although no variants achieved genome wide significance, we observed nominal association of seven variants across genes (ZBTB38, ZFP36L2, HMGA2, CDKAL1, PLCG1) previously associated with birthweight.

genetics↗