Genetic determinants of blood pressure and heart rate identified through ENU-induced mutagenesis with automated meiotic mapping.
Samantha K TeixeiraRoberto B PontesLuiz Fernando G ZuletaJianhui WangDarui XuSara HildebrandJamie RussellXiaoming ZhanMihwa ChoiMiao TangXiaohong LiSara LudwigBruce A BeutlerJose Eduardo KriegerPublished in: Science advances (2024)
We used N -ethyl- N -nitrosurea-induced germline mutagenesis combined with automated meiotic mapping to identify specific systolic blood pressure (SBP) and heart rate (HR) determinant loci. We analyzed 43,627 third-generation (G3) mice from 841 pedigrees to assess the effects of 45,378 variant alleles within 15,760 genes, in both heterozygous and homozygous states. We comprehensively tested 23% of all protein-encoding autosomal genes and found 87 SBP and 144 HR (with 7 affecting both) candidates exhibiting detectable hypomorphic characteristics. Unexpectedly, only 18 of the 87 SBP genes were previously known, while 26 of the 144 genes linked to HR were previously identified. Furthermore, we confirmed the influence of two genes on SBP regulation and three genes on HR control through reverse genetics. This underscores the importance of our research in uncovering genes associated with these critical cardiovascular risk factors and illustrate the effectiveness of germline mutagenesis for defining key determinants of polygenic phenotypes that must be studied in an intact organism.
Keyphrases
- heart rate
- blood pressure
- genome wide
- heart rate variability
- bioinformatics analysis
- cardiovascular risk factors
- genome wide identification
- crispr cas
- hypertensive patients
- high resolution
- machine learning
- high glucose
- deep learning
- cardiovascular disease
- oxidative stress
- dna repair
- drug induced
- skeletal muscle
- adipose tissue
- ionic liquid
- stress induced
- protein protein
- genome wide association study
- solid state