> Details

Goodrich, Julia K.; Singer-Berk, Moriel; Son, Rachel; Sveden, Abigail; Wood, Jordan; England, Eleina; Cole, Joanne B.; Weisburd, Ben; Watts, Nick; Caulkins, Lizz; Dornbos, Peter; Koesterer, Ryan; Zappala, Zachary; Zhang, Haichen; Maloney, Kristin A.; Dahl, Andy; Aguilar-Salinas, Carlos A.; Atzmon, Gil; Barajas-Olmos, Francisco; Barzilai, Nir; Blangero, John; Boerwinkle, Eric; Bonnycastle, Lori L.; Bottinger, Erwin; [...]

Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes

Reference
management

Bookmarks

Remove from
bookmarks

Share this on Whatsapp

Close

Bookmarks



You can manage bookmarks using lists, please log in to your user account for this.
  • Media type: E-Article
  • Title: Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes
  • Contributor: Goodrich, Julia K.; Singer-Berk, Moriel; Son, Rachel; Sveden, Abigail; Wood, Jordan; England, Eleina; Cole, Joanne B.; Weisburd, Ben; Watts, Nick; Caulkins, Lizz; Dornbos, Peter; Koesterer, Ryan; Zappala, Zachary; Zhang, Haichen; Maloney, Kristin A.; Dahl, Andy; Aguilar-Salinas, Carlos A.; Atzmon, Gil; Barajas-Olmos, Francisco; Barzilai, Nir; Blangero, John; Boerwinkle, Eric; Bonnycastle, Lori L.; Bottinger, Erwin; [...]
  • Published: Springer Science and Business Media LLC, 2021
  • Published in: Nature Communications, 12 (2021) 1
  • Language: English
  • DOI: 10.1038/s41467-021-23556-4
  • ISSN: 2041-1723
  • Origination:
  • Footnote:
  • Description: AbstractHundreds of thousands of genetic variants have been reported to cause severe monogenic diseases, but the probability that a variant carrier develops the disease (termed penetrance) is unknown for virtually all of them. Additionally, the clinical utility of common polygenetic variation remains uncertain. Using exome sequencing from 77,184 adult individuals (38,618 multi-ancestral individuals from a type 2 diabetes case-control study and 38,566 participants from the UK Biobank, for whom genotype array data were also available), we apply clinical standard-of-care gene variant curation for eight monogenic metabolic conditions. Rare variants causing monogenic diabetes and dyslipidemias display effect sizes significantly larger than the top 1% of the corresponding polygenic scores. Nevertheless, penetrance estimates for monogenic variant carriers average 60% or lower for most conditions. We assess epidemiologic and genetic factors contributing to risk prediction in monogenic variant carriers, demonstrating that inclusion of polygenic variation significantly improves biomarker estimation for two monogenic dyslipidemias.
  • Access State: Open Access