You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Meta-analysis of genome-wide association studies identifies 8 novel loci involved in shape variation of human head hair
|
|---|---|
| Published in |
Human Molecular Genetics, December 2017
|
| DOI | 10.1093/hmg/ddx416 |
| Pubmed ID | |
| Authors |
Fan Liu, Yan Chen, Gu Zhu, Pirro G Hysi, Sijie Wu, Kaustubh Adhikari, Krystal Breslin, Ewelina Pośpiech, Merel A Hamer, Fuduan Peng, Charanya Muralidharan, Victor Acuna-Alonzo, Samuel Canizales-Quinteros, Gabriel Bedoya, Carla Gallo, Giovanni Poletti, Francisco Rothhammer, Maria Catira Bortolini, Rolando Gonzalez-Jose, Changqing Zeng, Shuhua Xu, Li Jin, André G Uitterlinden, M Arfan Ikram, Cornelia M van Duijn, Tamar Nijsten, Susan Walsh, Wojciech Branicki, Sijia Wang, Andrés Ruiz-Linares, Timothy D Spector, Nicholas G Martin, Sarah E Medland, Manfred Kayser |
| Abstract |
Shape variation of human head hair shows striking variation within and between human populations, while its genetic basis is far from being understood. We performed a series of genome-wide association studies (GWASs) and replication studies in a total of 28,964 subjects from 9 cohorts from multiple geographic origins. A meta-analysis of three European GWASs identified 8 novel loci (1p36.23 ERRFI1/SLC45A1, 1p36.22 PEX14, 1p36.13 PADI3, 2p13.3 TGFA, 11p14.1 LGR4, 12q13.13 HOXC13, 17q21.2 KRTAP, and 20q13.33 PTK6), and confirmed 4 previously known ones (1q21.3 TCHH/TCHHL1/LCE3E, 2q35 WNT10A, 4q21.21 FRAS1, and 10p14 LINC00708/GATA3), all showing genome-wide significant association with hair shape (P < 5e-8). All except one (1p36.22 PEX14) were replicated with nominal significance in at least one of the 6 additional cohorts of European, Native American and East Asian origins. Three additional previously known genes (EDAR, OFCC1, and PRSS53) were confirmed at nominal significance level. A multivariable regression model revealed that 14 SNPs from different genes significantly and independently contribute to hair shape variation, reaching a cross-validated AUC value of 0.66 (95% CI: 0.62-0.70) and an AUC value of 0.64 in an independent validation cohort, providing an improved accuracy compared to a previous model. Prediction outcomes of 2,504 individuals from a multiethnic sample were largely consistent with general knowledge on the global distribution of hair shape variation. Our study thus delivers target genes and DNA variants for future functional studies to further evaluate the molecular basis of hair shape in humans. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 25% |
| Spain | 1 | 13% |
| United Kingdom | 1 | 13% |
| Australia | 1 | 13% |
| Belgium | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 18% |
| Student > Master | 14 | 15% |
| Student > Ph. D. Student | 13 | 14% |
| Student > Bachelor | 11 | 12% |
| Professor | 6 | 6% |
| Other | 8 | 9% |
| Unknown | 24 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 32 | 34% |
| Agricultural and Biological Sciences | 10 | 11% |
| Medicine and Dentistry | 7 | 8% |
| Immunology and Microbiology | 2 | 2% |
| Computer Science | 2 | 2% |
| Other | 12 | 13% |
| Unknown | 28 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 03 February 2023.
All research outputs
#1,384,175
of 23,275,636 outputs
Outputs from Human Molecular Genetics
#270
of 8,064 outputs
Outputs of similar age
#33,607
of 441,506 outputs
Outputs of similar age from Human Molecular Genetics
#6
of 73 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,064 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 96% 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 441,506 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 92% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.