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1.
CMAJ ; 190(5): E126-E136, 2018 02 05.
Article in English | MEDLINE | ID: mdl-29431110

ABSTRACT

BACKGROUND: The Personal Genome Project Canada is a comprehensive public data resource that integrates whole genome sequencing data and health information. We describe genomic variation identified in the initial recruitment cohort of 56 volunteers. METHODS: Volunteers were screened for eligibility and provided informed consent for open data sharing. Using blood DNA, we performed whole genome sequencing and identified all possible classes of DNA variants. A genetic counsellor explained the implication of the results to each participant. RESULTS: Whole genome sequencing of the first 56 participants identified 207 662 805 sequence variants and 27 494 copy number variations. We analyzed a prioritized disease-associated data set (n = 1606 variants) according to standardized guidelines, and interpreted 19 variants in 14 participants (25%) as having obvious health implications. Six of these variants (e.g., in BRCA1 or mosaic loss of an X chromosome) were pathogenic or likely pathogenic. Seven were risk factors for cancer, cardiovascular or neurobehavioural conditions. Four other variants - associated with cancer, cardiac or neurodegenerative phenotypes - remained of uncertain significance because of discrepancies among databases. We also identified a large structural chromosome aberration and a likely pathogenic mitochondrial variant. There were 172 recessive disease alleles (e.g., 5 individuals carried mutations for cystic fibrosis). Pharmacogenomics analyses revealed another 3.9 potentially relevant genotypes per individual. INTERPRETATION: Our analyses identified a spectrum of genetic variants with potential health impact in 25% of participants. When also considering recessive alleles and variants with potential pharmacologic relevance, all 56 participants had medically relevant findings. Although access is mostly limited to research, whole genome sequencing can provide specific and novel information with the potential of major impact for health care.


Subject(s)
Genetic Variation/genetics , Genome, Human/genetics , Sequence Analysis, DNA/methods , Whole Genome Sequencing/methods , Canada , Female , Genes, Recessive/genetics , Genetic Predisposition to Disease/genetics , Humans , Male
2.
Diabetes ; 52(3): 872-81, 2003 Mar.
Article in English | MEDLINE | ID: mdl-12606533

ABSTRACT

Maturity-onset diabetes of the young (MODY) is a heterogeneous single gene disorder characterized by non-insulin-dependent diabetes, an early onset and autosomal dominant inheritance. Mutations in six genes have been shown to cause MODY. Approximately 15-20% of families fitting MODY criteria do not have mutations in any of the known genes. These families provide a rich resource for the identification of new MODY genes. This will potentially enable further dissection of clinical heterogeneity and bring new insights into mechanisms of beta-cell dysfunction. To facilitate the identification of novel MODY loci, we combined the results from three genome-wide scans on a total of 23 families fitting MODY criteria. We used both a strict parametric model of inheritance with heterogeneity and a model-free analysis. We did not identify any single novel locus but provided putative evidence for linkage to chromosomes 6 (nonparametric linkage [NPL]score 2.12 at 71 cM) and 10 (NPL score 1.88 at 169-175 cM), and to chromosomes 3 (heterogeneity LOD [HLOD] score 1.27 at 124 cM) and 5 (HLOD score 1.22 at 175 cM) in 14 more strictly defined families. Our results provide evidence for further heterogeneity in MODY.


Subject(s)
DNA-Binding Proteins , Diabetes Mellitus, Type 2/genetics , Genetic Heterogeneity , Nuclear Proteins , Adolescent , Adult , Child , Chromosomes, Human, Pair 10 , Chromosomes, Human, Pair 3 , Chromosomes, Human, Pair 5 , Chromosomes, Human, Pair 6 , Female , Genetic Linkage , Genotype , Glucokinase/genetics , Hepatocyte Nuclear Factor 1 , Hepatocyte Nuclear Factor 1-alpha , Hepatocyte Nuclear Factor 1-beta , Humans , Lod Score , Male , Microsatellite Repeats , Mutation , Pedigree , Transcription Factors/genetics
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