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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide association study of blood lead shows multiple associations near ALAD
|
|---|---|
| Published in |
Human Molecular Genetics, March 2015
|
| DOI | 10.1093/hmg/ddv112 |
| Pubmed ID | |
| Authors |
Nicole M. Warrington, Gu Zhu, Veronica Dy, Andrew C. Heath, Pamela A.F. Madden, Gibran Hemani, John P. Kemp, George Mcmahon, Beate St Pourcain, Nicholas J. Timpson, Caroline M. Taylor, Jean Golding, Debbie A. Lawlor, Colin Steer, Grant W. Montgomery, Nicholas G. Martin, George Davey Smith, David M. Evans, John B. Whitfield |
| Abstract |
Exposure to high levels of environmental lead, or biomarker evidence of high body lead content, are associated with anaemia, developmental and neurological deficits in children, and increased mortality in adults. Adverse effects of lead still occur despite substantial reduction in environmental exposure. There is genetic variation between individuals in blood lead concentration but the polymorphisms contributing to this have not been defined. We measured blood or erythrocyte lead content, and carried out genome-wide association analysis, on population-based cohorts of adult volunteers from Australia and the UK (N=5433). Samples from Australia were collected in two studies, in 1993-96 and 2002-05, and from the UK in 1991-92. One locus, at ALAD on chromosome 9, showed consistent association with blood lead across countries and evidence for multiple independent allelic effects. The most significant SNP, rs1805313 (p=3.91 x 10(-14) for lead concentration in a meta-analysis of all data), is known to have effects on ALAD expression in blood cells but other SNPs affecting ALAD expression did not affect blood lead. Variants at twelve other loci, including ABO, showed suggestive associations (5 x 10(-6)>p>5 x 10(-8)). Identification of genetic polymorphisms affecting blood lead reinforces the view that genetic factors, as well as environmental ones, are important in determining blood lead levels. The ways in which ALAD variation affects lead uptake or distribution are still to be determined. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 2% |
| Unknown | 52 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 15% |
| Researcher | 7 | 13% |
| Student > Master | 6 | 11% |
| Student > Bachelor | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Other | 10 | 19% |
| Unknown | 16 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 25% |
| Biochemistry, Genetics and Molecular Biology | 9 | 17% |
| Agricultural and Biological Sciences | 2 | 4% |
| Environmental Science | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 18 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 May 2019.
All research outputs
#7,355,005
of 25,371,288 outputs
Outputs from Human Molecular Genetics
#3,477
of 8,251 outputs
Outputs of similar age
#81,524
of 278,000 outputs
Outputs of similar age from Human Molecular Genetics
#46
of 113 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,251 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 55% 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 278,000 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 113 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 58% of its contemporaries.