Through genome-wide association meta-analyses of up to 133,010 individuals of European
ancestry without diabetes, including individuals newly genotyped using the Metabochip, we …

To characterize type 2 diabetes (T2D)-associated variation across the allele frequency spectrum,
we conducted a meta-analysis of genome-wide association data from 26,676 T2D case …

Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors,
and has been reproducibly associated with future cardio-metabolic health outcomes. In …

Using a genome-wide screen of 9.6 million genetic variants achieved through 1000 Genomes
Project imputation in 62,166 samples, we identify association to lipid traits in 93 loci, …

Genome-wide association studies of birth weight have focused on fetal genetics, whereas
relatively little is known about the role of maternal genetic variation. We aimed to identify …

Metabolic syndrome (MetS) has become a health and financial burden worldwide. The MetS
definition captures clustering of risk factors that predict higher risk for diabetes mellitus and …

Differences between sexes contribute to variation in the levels of fasting glucose and insulin.
Epidemiological studies established a higher prevalence of impaired fasting glucose in …

Reference panels from the 1000 Genomes (1000G) Project Consortium provide near complete
coverage of common and low-frequency genetic variation with minor allele frequency ≥…

Over the past 8 years, the genetics of complex traits have benefited from an unprecedented
advancement in the identification of common variant loci for diseases such as type 2 …

Conventional measurements of fasting and postprandial blood glucose levels investigated in
genome-wide association studies (GWAS) cannot capture the effects of DNA variability on ‘…