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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The effect of genotype and in utero environment on interindividual variation in neonate DNA methylomes
|
|---|---|
| Published in |
Genome Research, April 2014
|
| DOI | 10.1101/gr.171439.113 |
| Pubmed ID | |
| Authors |
Ai Ling Teh, Hong Pan, Li Chen, Mei-Lyn Ong, Shaillay Dogra, Johnny Wong, Julia L. MacIsaac, Sarah M. Mah, Lisa M. McEwen, Seang-Mei Saw, Keith M. Godfrey, Yap-Seng Chong, Kenneth Kwek, Chee-Keong Kwoh, Shu-E. Soh, Mary F.F. Chong, Sheila Barton, Neerja Karnani, Clara Y. Cheong, Jan Paul Buschdorf, Walter Stünkel, Michael S. Kobor, Michael J. Meaney, Peter D. Gluckman, Joanna D. Holbrook |
| Abstract |
Integrating the genotype with epigenetic marks holds the promise of better understanding the biology that underlies the complex interactions of inherited and environmental components that define the developmental origins of a range of disorders. The quality of the in utero environment significantly influences health over the lifecourse. Epigenetics, and in particular DNA methylation marks, have been postulated as a mechanism for the enduring effects of the prenatal environment. Accordingly, neonate methylomes contain molecular memory of the individual in utero experience. However, interindividual variation in methylation can also be a consequence of DNA sequence polymorphisms that result in methylation quantitative trait loci (methQTLs) and, potentially, the interaction between fixed genetic variation and environmental influences. We surveyed the genotypes and DNA methylomes of 237 neonates and found 1423 punctuate regions of the methylome that were highly variable across individuals, termed variably methylated regions (VMRs), against a backdrop of homogeneity. MethQTLs were readily detected in neonatal methylomes, and genotype alone best explained ∼25% of the VMRs. We found that the best explanation for 75% of VMRs was the interaction of genotype with different in utero environments, including maternal smoking, maternal depression, maternal BMI, infant birth weight, gestational age, and birth order. Our study sheds new light on the complex relationship between biological inheritance as represented by genotype and individual prenatal experience and suggests the importance of considering both fixed genetic variation and environmental factors in interpreting epigenetic variation. |
X Demographics
The data shown below were collected from the profiles of 18 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 States | 5 | 28% |
| Canada | 4 | 22% |
| Switzerland | 1 | 6% |
| Argentina | 1 | 6% |
| United Arab Emirates | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 5 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 56% |
| Scientists | 5 | 28% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 345 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 1% |
| Canada | 3 | <1% |
| United States | 2 | <1% |
| Hong Kong | 1 | <1% |
| Germany | 1 | <1% |
| Spain | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 332 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 76 | 22% |
| Researcher | 70 | 20% |
| Student > Bachelor | 41 | 12% |
| Student > Master | 33 | 10% |
| Student > Doctoral Student | 23 | 7% |
| Other | 58 | 17% |
| Unknown | 44 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 84 | 24% |
| Biochemistry, Genetics and Molecular Biology | 55 | 16% |
| Medicine and Dentistry | 53 | 15% |
| Psychology | 19 | 6% |
| Neuroscience | 16 | 5% |
| Other | 54 | 16% |
| Unknown | 64 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 10 August 2018.
All research outputs
#877,282
of 26,017,215 outputs
Outputs from Genome Research
#301
of 4,477 outputs
Outputs of similar age
#8,271
of 244,709 outputs
Outputs of similar age from Genome Research
#11
of 48 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,477 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.5. This one has done particularly well, scoring higher than 93% 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 244,709 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.