| Title |
A Genome-Wide Association Study Identifies Genetic Variants Associated with Mathematics Ability
|
|---|---|
| Published in |
Scientific Reports, February 2017
|
| DOI | 10.1038/srep40365 |
| Pubmed ID | |
| Authors |
Huan Chen, Xiao-hong Gu, Yuxi Zhou, Zeng Ge, Bin Wang, Wai Ting Siok, Guoqing Wang, Michael Huen, Yuyang Jiang, Li-Hai Tan, Yimin Sun |
| Abstract |
Mathematics ability is a complex cognitive trait with polygenic heritability. Genome-wide association study (GWAS) has been an effective approach to investigate genetic components underlying mathematic ability. Although previous studies reported several candidate genetic variants, none of them exceeded genome-wide significant threshold in general populations. Herein, we performed GWAS in Chinese elementary school students to identify potential genetic variants associated with mathematics ability. The discovery stage included 494 and 504 individuals from two independent cohorts respectively. The replication stage included another cohort of 599 individuals. In total, 28 of 81 candidate SNPs that met validation criteria were further replicated. Combined meta-analysis of three cohorts identified four SNPs (rs1012694, rs11743006, rs17778739 and rs17777541) of SPOCK1 gene showing association with mathematics ability (minimum p value 5.67 × 10(-10), maximum β -2.43). The SPOCK1 gene is located on chromosome 5q31.2 and encodes a highly conserved glycoprotein testican-1 which was associated with tumor progression and prognosis as well as neurogenesis. This is the first study to report genome-wide significant association of individual SNPs with mathematics ability in general populations. Our preliminary results further supported the role of SPOCK1 during neurodevelopment. The genetic complexities underlying mathematics ability might contribute to explain the basis of human cognition and intelligence at genetic level. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 22% |
| United Kingdom | 3 | 17% |
| Japan | 1 | 6% |
| Unknown | 10 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Singapore | 1 | 1% |
| Unknown | 70 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 20% |
| Student > Master | 11 | 15% |
| Student > Bachelor | 8 | 11% |
| Researcher | 5 | 7% |
| Student > Postgraduate | 4 | 6% |
| Other | 13 | 18% |
| Unknown | 16 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 15% |
| Agricultural and Biological Sciences | 8 | 11% |
| Psychology | 8 | 11% |
| Computer Science | 5 | 7% |
| Medicine and Dentistry | 5 | 7% |
| Other | 15 | 21% |
| Unknown | 19 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 14 February 2024.
All research outputs
#1,329,715
of 25,765,370 outputs
Outputs from Scientific Reports
#13,044
of 142,903 outputs
Outputs of similar age
#27,768
of 427,318 outputs
Outputs of similar age from Scientific Reports
#434
of 3,971 outputs
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