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Articles by H Hakonarson
Total Records ( 2 ) for H Hakonarson
  B St. Pourcain , K Wang , J. T Glessner , J Golding , C Steer , S. M Ring , D. H Skuse , S. F. A Grant , H Hakonarson and G. Davey Smith
  Objective:

Recent genome-wide analysis identified a genetic variant on 5p14.1 (rs4307059), which is associated with risk for autism spectrum disorder. This study investigated whether rs4307059 also operates as a quantitative trait locus underlying a broader autism phenotype in the general population, focusing specifically on the social communication aspect of the spectrum.

Method:

Study participants were 7,313 children from the Avon Longitudinal Study of Parents and Children. Single-trait and joint-trait genotype associations were investigated for 29 measures related to language and communication, verbal intelligence, social interaction, and behavioral adjustment, assessed between ages 3 and 12 years. Analyses were performed in one-sided or directed mode and adjusted for multiple testing, trait interrelatedness, and random genotype dropout.

Results:

Single phenotype analyses showed that an increased load of rs4307059 risk allele is associated with stereotyped conversation and lower pragmatic communication skills, as measured by the Children's Communication Checklist (at a mean age of 9.7 years). In addition a trend toward a higher frequency of identification of special educational needs (at a mean age of 11.8 years) was observed. Variation at rs4307059 was also associated with the phenotypic profile of studied traits. This joint signal was fully explained neither by single-trait associations nor by overall behavioral adjustment problems but suggested a combined effect, which manifested through multiple sub-threshold social, communicative, and cognitive impairments.

Conclusions:

Our results suggest that common variation at 5p14.1 is associated with social communication spectrum phenotypes in the general population and support the role of rs4307059 as a quantitative trait locus for autism spectrum disorder.

  T. P Cappola , M Li , J He , B Ky , J Gilmore , L Qu , B Keating , M Reilly , C. E Kim , J Glessner , E Frackelton , H Hakonarson , F Syed , A Hindes , S. J Matkovich , S Cresci and G. W. Dorn
 

Background— Heart failure results from abnormalities in multiple biological processes that contribute to cardiac dysfunction. We tested the hypothesis that inherited variation in genes of known importance to cardiovascular biology would thus contribute to heart failure risk.

Methods and Results— We used the ITMAT/Broad/CARe cardiovascular single-nucleotide polymorphism array to screen referral populations of patients with advanced heart failure for variants in 2000 genes of predicted importance to cardiovascular biology. Our design was a 2-stage case-control study. In stage 1, genotypes in Caucasian patients with heart failure (n=1590; ejection fraction, 32±16%) were compared with those in unaffected controls (n=577; ejection fraction, 67±8%) who were recruited from the same referral centers. Associations were tested for independent replication in stage 2 (308 cases and 2314 controls). Two intronic single-nucleotide polymorphisms showed replicated associations with all-cause heart failure as follows: rs1739843 in HSPB7 (combined P=3.09x10–6) and rs6787362 in FRMD4B (P=6.09x10–6). For both single-nucleotide polymorphisms, the minor allele was protective. In subgroup analyses, rs1739843 associated with both ischemic and nonischemic heart failure, whereas rs6787362 associated principally with ischemic heart failure. Linkage disequilibrium surrounding rs1739843 suggested that the causal variant resides in a region containing HSPB7 and a neighboring gene, CLCNKA, whereas the causal variant near rs6787362 is probably within FRMD4B. Allele frequencies for these single-nucleotide polymorphisms were substantially different in African Americans (635 cases and 714 controls) and showed no association with heart failure in this population.

Conclusions— Our findings identify regions containing HSPB7 and FRMD4B as novel susceptibility loci for advanced heart failure. More broadly, in an era of genome-wide association studies, we demonstrate how knowledge of candidate genes can be leveraged as a complementary strategy to discern the genetics of complex disorders.

 
 
 
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