Publications by authors named "G E Hawkes"

Investigating the genetic factors influencing human birth weight may lead to biological insights into fetal growth and long-term health. We report analyses of rare variants that impact birth weight when carried by either fetus or mother, using whole exome sequencing data in up to 234,675 participants. Rare protein-truncating and deleterious missense variants are collapsed to perform gene burden tests.

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There is variability in early-onset autoimmune diabetes presentation in individuals with monogenic autoimmunity; the mechanism(s) underlying this is unclear. We examined whether type 1 diabetes (T1D) polygenic risk contributes to clinical phenotype in monogenic autoimmune diabetes. Individuals with monogenic autoimmune diabetes had higher T1D genetic risk scores compared with control cohorts, driven largely by increased presence of T1D-risk DR3-DQ2 haplotype.

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Article Synopsis
  • The study investigates how rare non-coding genetic variations affect complex traits, specifically focusing on human height by analyzing data from over 333,100 individuals across three large datasets.
  • Researchers found 29 significant rare variants linked to height, with impacts ranging from a decrease of 7 cm to an increase of 4.7 cm, after considering previously known variants.
  • The team also identified specific non-coding variants near key genes associated with height, demonstrating a new method for understanding the effects of rare variants in regulatory regions using whole-genome sequencing.
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Article Synopsis
  • Human genetic studies reveal new insights into the biological processes of ovarian aging through rare protein-coding variants in a large study of women.
  • The genes identified (e.g., SAMHD1 and ZNF518A) show stronger effects on reproductive lifespan and cancer risk compared to common variants, with some variants linked to earlier menopause.
  • The research suggests a connection between genetic factors influencing ovarian aging and an increased incidence of de novo mutations, highlighting the importance of DNA damage response in fertility.
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Background: Genetic variants that severely alter protein products (e.g. nonsense, frameshift) are often associated with disease.

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