On planet earth, organisms have evolved mechanisms to synchronize metabolic and physiological functions with the ~24 hour light/dark cycle. Interestingly, many human diseases have associations with the circadian day. When traveling across time zones, our sleep-wake patterns, mental alertness, eating habits and many other physiological processes temporarily suffer the consequences of being ?out of phase?until we adjust to the new time zone. In addition, recent studies have also linked disruption of the circadian clock with numerous ailments, including: asthma, cancer, cardiovascular diseases, and learning disorders. Tremendous knowledge has come from studying the genetic and molecular basis of circadian rhythms in model organisms. Despite the importance of the circadian clock to all aspects of our physiology and behavior, the opportunity to probe the human circadian clock only became possible with the recognition of Mendelian circadian variants in people (familial advanced sleep-phase, FASP). In the previous funding periods of this grant, we characterized FASP, collected many families, and mapped and cloned the first FASP gene. We went on to identify a total of 5 FASP genes and have generated animal models of all of them. We also described Familial Natural Short Sleep (FNSS) and have cloned the first human sleep gene/mutation. During the current grant period, we've 1) done extensive work in characterizing the proteomics of circadian kinases CKI?, CKI?, and GSK3?;2) identified mutations in CRY2 and TIMELESS causing FASP and generated mouse models;3) characterized the role of PKC? in the food entrainable oscillator;4) Demonstrated that circadian mutations in CKI? also cause migraine with aura. In this competitive renewal, we propose to collect additional families (Aim 1), to perform whole exome sequencing in probands from 50 ?unexplained'FASP families (Aim 2), and to sift among the many variants to identify novel circadian rhythm/FASP genes/mutations (Aim 3). Parallel studies in humans and mouse models will synergize in dissecting understanding of FASP in humans and exploring the similarities and differences between our circadian clocks vs. those of other organisms. Studying the molecular mechanism of human circadian rhythmicity will have an enormous impact on our understanding of human health &disease. It should also lead to new strategies for pharmacological manipulation of the human clock to improve the treatment of jet-lag, various clock-related sleep and psychiatric disorders, as well as other human diseases. Understanding of the human clock genes and mutations will enable development of better therapies for ASPS of aging, jet lag, and other sleep disorders.

Public Health Relevance

Familial Advanced Sleep Phase (FASP) is a rare Mendelian form of altered sleep schedule where affected individuals live on a 24 hour day but wake up very early in the morning and go to sleep early at night. Since a majority of FASP families do not have mutations in known circadian rhythm genes, we propose to use a two-tiered approach to identify novel human circadian/FASP genes. We will utilize our best and largest families to identify linkage regions harboring causative genes/mutations and then apply next generation sequencing technologies in DNA from 2 affected individuals from each family to identify novel FASP genes/mutations which will give us insight into human circadian biology and sleep.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
High Priority, Short Term Project Award (R56)
Project #
9R56NS089959-15A1
Application #
8812955
Study Section
Genetics of Health and Disease Study Section (GHD)
Program Officer
He, Janet
Project Start
1997-09-30
Project End
2015-05-31
Budget Start
2014-06-01
Budget End
2015-05-31
Support Year
15
Fiscal Year
2014
Total Cost
$510,321
Indirect Cost
$160,321
Name
University of California San Francisco
Department
Neurology
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Hsu, Pei-Ken; Ptá?ek, Louis J; Fu, Ying-Hui (2015) Genetics of human sleep behavioral phenotypes. Methods Enzymol 552:309-24