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The molecular epidemiology of Huntington disease is related to intermediate allele frequency and haplotype in the general population.

Chris KayJennifer A CollinsGalen E B WrightFiona BaineZosia MiedzybrodzkaFolefac AminkengAlicia J SemakaCassandra McDonaldMark DavidsonSteven J MadoreErynn S GordonNorman P GerryMario Cornejo-OlivasFerdinando SquitieriSarah TishkoffJacquie L GreenbergAmanda KrauseMichael R Hayden
Published in: American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics (2018)
Huntington disease (HD) is the most common monogenic neurodegenerative disorder in populations of European ancestry, but occurs at lower prevalence in populations of East Asian or black African descent. New mutations for HD result from CAG repeat expansions of intermediate alleles (IAs), usually of paternal origin. The differing prevalence of HD may be related to the rate of new mutations in a population, but no comparative estimates of IA frequency or the HD new mutation rate are available. In this study, we characterize IA frequency and the CAG repeat distribution in fifteen populations of diverse ethnic origin. We estimate the HD new mutation rate in a series of populations using molecular IA expansion rates. The frequency of IAs was highest in Hispanic Americans and Northern Europeans, and lowest in black Africans and East Asians. The prevalence of HD correlated with the frequency of IAs by population and with the proportion of IAs found on the HD-associated A1 haplotype. The HD new mutation rate was estimated to be highest in populations with the highest frequency of IAs. In European ancestry populations, one in 5,372 individuals from the general population and 7.1% of individuals with an expanded CAG repeat in the HD range are estimated to have a molecular new mutation. Our data suggest that the new mutation rate for HD varies substantially between populations, and that IA frequency and haplotype are closely linked to observed epidemiological differences in the prevalence of HD across major ancestry groups in different countries.
Keyphrases
  • risk factors
  • genetic diversity
  • healthcare
  • machine learning
  • electronic health record
  • african american
  • big data