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- Publisher Website: 10.1101/gr.1758204
- Scopus: eid_2-s2.0-3543089284
- PMID: 15231749
- WOS: WOS:000222434200015
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Article: Genetic structure adds power to detect schizophrenia susceptibility at SLIT3 in the Chinese Han population
Title | Genetic structure adds power to detect schizophrenia susceptibility at SLIT3 in the Chinese Han population |
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Authors | |
Keywords | Adult Asian Continental Ancestry Group/*ethnology/*genetics/statistics & numerical data Chromosomes, Human, Pair 5/genetics Cluster Analysis Computer Simulation/statistics & numerical data Female Genetic Predisposition to Disease/epidemiology/*genetics *Genetic Testing/statistics & numerical data Genetic Variation/genetics Genetics, Population/methods/statistics & numerical data Humans Male Polymorphism, Single Nucleotide/genetics Schizophrenia/epidemiology/*genetics |
Issue Date | 2004 |
Citation | Genome Research, 2004, v. 14 n. 7, p. 1345-1349 How to Cite? |
Abstract | The Chinese Han population, the largest population in the world, has traditionally been geographically divided into two parts, the Southern Han and Northern Han. In practice, however, these commonly used ethnic labels are both insufficient and inaccurate as descriptors of inferred genetic clustering, and can lead to the observation of "spurious association" as well as the concealment of real association. In this study, we attempted to address this problem by using 14 microsatellite markers to reconstruct the population genetic structure in 768 Han Chinese samples, including 384 Southern Han and 384 Northern Han, and in samples from Chinese minorities including 48 Yao and 48 BouYei subjects. Furthermore, with a dense set of markers around the region 5q34-35, we built fine-scale haplotype networks for each population/subpopulation and tested for association to schizophrenia susceptibility. We found that more variants in SLIT3 tend to associate with schizophrenia susceptibility in the genetically structured samples, compared to geographically structured samples and samples without identified population substructure. Our results imply that identifying the hidden genetic substructure adds power when detecting association, and suggest that SLIT3 or a nearby gene is associated with schizophrenia. |
Persistent Identifier | http://hdl.handle.net/10722/208438 |
ISSN | 2023 Impact Factor: 6.2 2023 SCImago Journal Rankings: 4.403 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Shi, Y | en_US |
dc.contributor.author | Zhao, X | en_US |
dc.contributor.author | Yu, L | en_US |
dc.contributor.author | Tao, R | en_US |
dc.contributor.author | Tang, J | en_US |
dc.contributor.author | La, Y | en_US |
dc.contributor.author | Duan, Y | en_US |
dc.contributor.author | Gao, B | en_US |
dc.contributor.author | Gu, N | en_US |
dc.contributor.author | Xu, Y | en_US |
dc.contributor.author | Feng, G | en_US |
dc.contributor.author | Zhu, S | en_US |
dc.contributor.author | Liu, H | en_US |
dc.contributor.author | Salter, H | en_US |
dc.contributor.author | He, L | en_US |
dc.date.accessioned | 2015-03-11T03:00:58Z | - |
dc.date.available | 2015-03-11T03:00:58Z | - |
dc.date.issued | 2004 | en_US |
dc.identifier.citation | Genome Research, 2004, v. 14 n. 7, p. 1345-1349 | en_US |
dc.identifier.issn | 1088-9051 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/208438 | - |
dc.description.abstract | The Chinese Han population, the largest population in the world, has traditionally been geographically divided into two parts, the Southern Han and Northern Han. In practice, however, these commonly used ethnic labels are both insufficient and inaccurate as descriptors of inferred genetic clustering, and can lead to the observation of "spurious association" as well as the concealment of real association. In this study, we attempted to address this problem by using 14 microsatellite markers to reconstruct the population genetic structure in 768 Han Chinese samples, including 384 Southern Han and 384 Northern Han, and in samples from Chinese minorities including 48 Yao and 48 BouYei subjects. Furthermore, with a dense set of markers around the region 5q34-35, we built fine-scale haplotype networks for each population/subpopulation and tested for association to schizophrenia susceptibility. We found that more variants in SLIT3 tend to associate with schizophrenia susceptibility in the genetically structured samples, compared to geographically structured samples and samples without identified population substructure. Our results imply that identifying the hidden genetic substructure adds power when detecting association, and suggest that SLIT3 or a nearby gene is associated with schizophrenia. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Genome Research | en_US |
dc.subject | Adult | en_US |
dc.subject | Asian Continental Ancestry Group/*ethnology/*genetics/statistics & numerical data | en_US |
dc.subject | Chromosomes, Human, Pair 5/genetics | en_US |
dc.subject | Cluster Analysis | en_US |
dc.subject | Computer Simulation/statistics & numerical data | en_US |
dc.subject | Female | en_US |
dc.subject | Genetic Predisposition to Disease/epidemiology/*genetics | en_US |
dc.subject | *Genetic Testing/statistics & numerical data | en_US |
dc.subject | Genetic Variation/genetics | en_US |
dc.subject | Genetics, Population/methods/statistics & numerical data | en_US |
dc.subject | Humans | en_US |
dc.subject | Male | en_US |
dc.subject | Polymorphism, Single Nucleotide/genetics | en_US |
dc.subject | Schizophrenia/epidemiology/*genetics | en_US |
dc.title | Genetic structure adds power to detect schizophrenia susceptibility at SLIT3 in the Chinese Han population | en_US |
dc.type | Article | en_US |
dc.identifier.email | Gao, B: gaobo@hku.hk | en_US |
dc.identifier.authority | Gao, B=rp02012 | en_US |
dc.identifier.doi | 10.1101/gr.1758204 | en_US |
dc.identifier.pmid | 15231749 | - |
dc.identifier.pmcid | PMC442150 | - |
dc.identifier.scopus | eid_2-s2.0-3543089284 | - |
dc.identifier.volume | 14 | en_US |
dc.identifier.issue | 7 | en_US |
dc.identifier.spage | 1345 | en_US |
dc.identifier.epage | 1349 | en_US |
dc.identifier.isi | WOS:000222434200015 | - |
dc.identifier.issnl | 1088-9051 | - |