A population-based study of autosomal-recessive disease-causing mutations in a founder population.

Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA. Electronic address: .
The American Journal of Human Genetics (Impact Factor: 10.99). 09/2012; 91(4):608-20. DOI: 10.1016/j.ajhg.2012.08.007
Source: PubMed

ABSTRACT The decreasing cost of whole-genome and whole-exome sequencing has resulted in a renaissance for identifying Mendelian disease mutations, and for the first time it is possible to survey the distribution and characteristics of these mutations in large population samples. We conducted carrier screening for all autosomal-recessive (AR) mutations known to be present in members of a founder population and revealed surprisingly high carrier frequencies for many of these mutations. By utilizing the rich demographic, genetic, and phenotypic data available on these subjects and simulations in the exact pedigree that these individuals belong to, we show that the majority of mutations were most likely introduced into the population by a single founder and then drifted to the high carrier frequencies observed. We further show that although there is an increased incidence of AR diseases overall, the mean carrier burden is likely to be lower in the Hutterites than in the general population. Finally, on the basis of simulations, we predict the presence of 30 or more undiscovered recessive mutations among these subjects, and this would at least double the number of AR diseases that have been reported in this isolated population.

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: There is currently extensive discussion and debate in the literature on how, when, and to whom genetic research results should be returned (see Genetics in Medicine, April 2012 issue). Here, we describe our experience in disclosing genetic information on Mendelian disorders discovered during the course of our research in the Hutterites. We first assessed attitudes toward the disclosure of carrier results, which revealed that many individuals wanted carrier information and that many intended to use the information in family planning. Based on this information, we developed a pilot study to test and disclose cystic fibrosis (CF) carrier status. Next, a larger scale project was developed in order to disclose genetic research results for 14 diseases to those interested in receiving the information. We developed brochures, offered a live interactive educational program, conducted a consent process, and disclosed results in letters mailed to the consented individuals. Overall, ~80 % of individuals who participated in the educational program signed consent forms for the release of their results for 14 diseases. We describe our experience with returning individual genetic research results to participants in a population-based research study.
    Journal of Genetic Counseling 04/2014; 23(6). DOI:10.1007/s10897-014-9721-8 · 1.75 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Most severe forms of intellectual disability (ID) have specific genetic causes. Numerous X chromosome gene defects and disease-causing copy-number variants have been linked to ID and related disorders, and recent studies have revealed that sporadic cases are often due to dominant de novo mutations with low recurrence risk. For autosomal recessive ID (ARID) the recurrence risk is high and, in populations with frequent parental consanguinity, ARID is the most common form of ID. Even so, its elucidation has lagged behind. Here we review recent progress in this field, show that ARID is not rare even in outbred Western populations, and discuss the prospects for improving its diagnosis and prevention.
    Trends in Genetics 10/2013; DOI:10.1016/j.tig.2013.09.008 · 11.60 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Founder populations and large pedigrees offer many well-known advantages for genetic mapping studies, including cost-efficient study designs. Here, we describe PRIMAL (PedigRee IMputation ALgorithm), a fast and accurate pedigree-based phasing and imputation algorithm for founder populations. PRIMAL incorporates both existing and original ideas, such as a novel indexing strategy of Identity-By-Descent (IBD) segments based on clique graphs. We were able to impute the genomes of 1,317 South Dakota Hutterites, who had genome-wide genotypes for ~300,000 common single nucleotide variants (SNVs), from 98 whole genome sequences. Using a combination of pedigree-based and LD-based imputation, we were able to assign 87% of genotypes with >99% accuracy over the full range of allele frequencies. Using the IBD cliques we were also able to infer the parental origin of 83% of alleles, and genotypes of deceased recent ancestors for whom no genotype information was available. This imputed data set will enable us to better study the relative contribution of rare and common variants on human phenotypes, as well as parental origin effect of disease risk alleles in >1,000 individuals at minimal cost.
    PLoS Computational Biology 03/2015; 11(3):e1004139. DOI:10.1371/journal.pcbi.1004139 · 4.83 Impact Factor


Available from