Dataset Information

Developmental origins of genotype-phenotype correlations in chronic diseases of old age.

ABSTRACT: In recent years, genome wide association studies have revolutionized the understanding of the genetic architecture of complex disease, particularly in the context of disorders that present in old age, such as type 2 diabetes and cardiovascular disease. This new era is made all the more compelling by the fact that, through extensive validation efforts, there is now very strong consensus among human geneticists on what the key loci are that contribute to the pathogenesis of these traits. However, as these variants have been almost exclusively uncovered in an adult setting, there is the question of when these genetic variants start exerting their effects; indeed many may start setting up an individual's predisposition to a disease of old age very early on in life. To this end, we review what breakthroughs have been made in elucidating which of these genetic factors are operating in childhood and conversely what discoveries have actually been made in the pediatric setting that have then been found subsequently to increase one's risk of a late-onset disease. After all, it well known that complex traits like obesity, type 2 diabetes and inflammatory bowel disease are strongly determined by genetic factors, but the isolation of genes in these complex phenotypes in adults has been impeded by interaction with strong environmental factors. Distillation of the genetic component in these complex traits, which will at least partially have origins in childhood, should be easier to determine in a pediatric setting, where the relatively short period of a child's lifetime limits the impact of environmental exposure.

SUBMITTER: McCormack S

PROVIDER: S-EPMC3501394 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Developmental origins of genotype-phenotype correlations in chronic diseases of old age.

McCormack Shana S Xia Qianghua Q Grant Struan F A SF

Aging and disease 20120910 5

In recent years, genome wide association studies have revolutionized the understanding of the genetic architecture of complex disease, particularly in the context of disorders that present in old age, such as type 2 diabetes and cardiovascular disease. This new era is made all the more compelling by the fact that, through extensive validation efforts, there is now very strong consensus among human geneticists on what the key loci are that contribute to the pathogenesis of these traits. However, ...[more]

PMID: 23185719

Similar Datasets

Project description:BackgroundCornelia de Lange (CdLS) is a rare genetic disorder that affects most body systems. Variants in multiple genes including NIPBL and SMC1A, can cause the syndrome. To date, literature on genotype-phenotype associations in individuals with CdLS is extremely limited, although studies suggest some differences in clinical phenotype severity across variants. This study aimed to examine and compare neurobehavioral differences and developmental variability across CdLS genes, specifically NIPBL and SMC1A, and identify genotype-phenotype correlations.Participants and methodsThis patient-reported outcomes study included accessing data from the Coordination of Rare Diseases registry at Sanford. Parents of a total of 26 children/adults with CdLS and a known variant in NIPBL (Mean age = 20.46 years, SD = 11.21) and 12 with a known variant in SMC1A (Mean age = 11.08 years, SD = 9.04) completed a series of questionnaires regarding their child's developmental history. This included attainment of common language and motor milestones, intervention history, and behavior functioning. Developmental history and reported behavior regulation difficulties were compared across variant groups.ResultsOverall, individuals with a pathogenic variant in NIPBL or SMC1A were similarly delayed across motor and language milestones with about 70% not using phrase speech and 30-50% not walking by 5 years of age. However, those with NIPBL variants showed more severity in behavioral phenotype, namely with more repetitive behaviors, tantrums, and withdrawn behaviors. In addition, these individuals were more likely than those with SMC1A variants to demonstrate self-injurious behaviors, and anxiety. Both groups yielded a similar proportion of participants who participated in speech and occupational therapy, however those with SMC1A variants were more likely to engage in physical therapy. Both clinical groups report low rate of communicative or assistive device use despite a large proportion of participants never mastering single word or sentence use.ConclusionsStudy results are consistent with recent investigations highlighting more severe behavioral phenotype, particularly autistic features, anxiety, and behavior regulation challenges, among those with NIPBL variants albeit comparable developmental milestones. Both groups endorsed very elevated attention problems. Findings highlight importance of early interventions, including behavioral health services.

Dataset Information

Developmental origins of genotype-phenotype correlations in chronic diseases of old age.

Publications

Developmental origins of genotype-phenotype correlations in chronic diseases of old age.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets