Rare protein-coding variation and the genetic architecture of height in >1.4 million individuals
Kosmicki, J. A.; Ganel, L.; Watanabe, K.; Joseph, T.; Gaynor, S. M.; Kessler, M. D.; Backman, J. D.; Mbatchou, J.; Ziyatdinov, A.; Blair, D.; Bovijn, J.; Verweij, N.; Sun, K. Y.; Zhang, C.; Balasubramanian, S.; Campos, A. I.; Charney, A. W.; Melander, O.; Weinreb, R.; Torres, J.; Kuri Morales, P.; Tapia-Conyer, R.; Alegre-Diaz, J.; Berumen, J.; BELIEVE Study Group, ; Colorado Center for Personalized Medicine - RGC Collaboration, ; GHS-RGC DiscovEHR Collaboration, ; Mayo Clinic Project Generation, ; Mexico City Prospective Study, ; Penn Medicine BioBank, ; Regeneron Genetics Center, ; Un
Show abstract
Highly heritable, polygenic, and easily measured, adult height has long been the model trait in human genetics. While the landscape of height-associated common genetic variation has been studied extensively, rare variation remains relatively unexplored. Using rare protein-altering variants in a discovery set of 826,066 exomes, we identify 207 height-associated genes - 98% of which replicate in an additional 624,567 individuals. The rarest and most deleterious class of variation, singleton (frequency <0.0001%) putative loss-of-function (pLoF) variants implicated 17 genes with large effects on height ranging from -17 cm (ACAN) to +11 cm (FBN1) per allele, 52x larger than the average effect of common height-associated variants and comparable to the 1% tails of a common variant polygenic score. Several genes (e.g., TET1, DTL, IGF2BP2) have effect sizes at least as large as established Mendelian height genes but lack documented stature or skeletal growth syndromes. This is particularly true for genes in which rare variants associate with increased height. We performed the largest rare-variant study of height to date, directly implicate 207 genes that broadly overlap with both GWAS associations and Mendelian height syndromes, assess the impact of rare variants on heritability and prediction, provide evidence that height is an underappreciated clinical feature of Mendelian disorders, and demonstrate the utility of large population-scale sequencing studies for classifying individual variants and dissecting complex trait architecture.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Whole-genome sequencing analysis of anthropometric traits in 672,976 individuals reveals convergence between rare and common genetic associations 97%
- Genes Affecting Vocal and Facial Anatomy Went Through Extensive Regulatory Divergence in Modern Humans 96%
- Widespread naturally variable human exons aid genetic interpretation 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.