An estimate of the average number of recessive lethal mutations carried by humans
Ziyue Gao, Darrel Waggoner, Matthew Stephens, Carole Ober, Molly, Przeworski

TL;DR
This study estimates that each human haploid genome carries approximately 0.29 recessive lethal alleles, highlighting the genetic burden of such mutations and their impact on human health, with implications for understanding inbreeding effects.
Contribution
The paper provides a novel estimate of recessive lethal mutations in humans using a founder population with complete disease data, avoiding confounding factors of previous methods.
Findings
Average of 0.29 recessive lethal alleles per haploid genome
Substantial fraction of deleterious burden due to single mutations causing early death
Constancy of recessive lethal mutation rate across diverse eukaryotes
Abstract
The effects of inbreeding on human health depend critically on the number and severity of recessive, deleterious mutations carried by individuals. In humans, existing estimates of these quantities are based on comparisons between consanguineous and non-consanguineous couples, an approach that confounds socioeconomic and genetic effects of inbreeding. To circumvent this limitation, we focused on a founder population with almost complete Mendelian disease ascertainment and a known pedigree. By considering all recessive lethal diseases reported in the pedigree and simulating allele transmissions, we estimated that each haploid set of human autosomes carries on average 0.29 (95% credible interval [0.10, 0.83]) autosomal, recessive alleles that lead to complete sterility or severe disorders at birth or before reproductive age when homozygous. Comparison to existing estimates of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGenomics and Rare Diseases · Evolution and Genetic Dynamics · Genetic Associations and Epidemiology
