| Title |
The heritable basis of gene–environment interactions in cardiometabolic traits
|
|---|---|
| Published in |
Diabetologia, December 2016
|
| DOI | 10.1007/s00125-016-4184-0 |
| Pubmed ID | |
| Authors |
Alaitz Poveda, Yan Chen, Anders Brändström, Elisabeth Engberg, Göran Hallmans, Ingegerd Johansson, Frida Renström, Azra Kurbasic, Paul W. Franks |
| Abstract |
Little is known about the heritable basis of gene-environment interactions in humans. We therefore screened multiple cardiometabolic traits to assess the probability that they are influenced by genotype-environment interactions. Fourteen established environmental risk exposures and 11 cardiometabolic traits were analysed in the VIKING study, a cohort of 16,430 Swedish adults from 1682 extended pedigrees with available detailed genealogical, phenotypic and demographic information, using a maximum likelihood variance decomposition method in Sequential Oligogenic Linkage Analysis Routines software. All cardiometabolic traits had statistically significant heritability estimates, with narrow-sense heritabilities (h (2)) ranging from 24% to 47%. Genotype-environment interactions were detected for age and sex (for the majority of traits), physical activity (for triacylglycerols, 2 h glucose and diastolic BP), smoking (for weight), alcohol intake (for weight, BMI and 2 h glucose) and diet pattern (for weight, BMI, glycaemic traits and systolic BP). Genotype-age interactions for weight and systolic BP, genotype-sex interactions for BMI and triacylglycerols and genotype-alcohol intake interactions for weight remained significant after multiple test correction. Age, sex and alcohol intake are likely to be major modifiers of genetic effects for a range of cardiometabolic traits. This information may prove valuable for studies that seek to identify specific loci that modify the effects of lifestyle in cardiometabolic disease. |
X Demographics
The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 19% |
| United States | 4 | 15% |
| Denmark | 2 | 8% |
| Canada | 1 | 4% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| Italy | 1 | 4% |
| Sweden | 1 | 4% |
| Unknown | 11 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 50% |
| Scientists | 9 | 35% |
| Practitioners (doctors, other healthcare professionals) | 4 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Unknown | 44 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 18% |
| Researcher | 5 | 11% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Student > Doctoral Student | 4 | 9% |
| Other | 6 | 13% |
| Unknown | 13 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 24% |
| Nursing and Health Professions | 4 | 9% |
| Agricultural and Biological Sciences | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Unspecified | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 18 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 March 2017.
All research outputs
#2,337,865
of 24,567,524 outputs
Outputs from Diabetologia
#1,221
of 5,274 outputs
Outputs of similar age
#46,863
of 430,386 outputs
Outputs of similar age from Diabetologia
#29
of 65 outputs
Altmetric has tracked 24,567,524 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,274 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.3. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 430,386 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.