rs10148671 (LINC02327): Schizophrenia and Behavior GWAS

Key takeaways

  • Multiple large-scale schizophrenia GWAS studies, including the largest ever with 76,755 cases and 243,649 controls, form the primary evidence base for this variant
  • rs10148671 sits near LINC02327 and LINC02326, two non-coding RNA genes that do not produce protein, making biological interpretation challenging
  • Genetic signals in this region replicate across European, Chinese, Japanese, and Ashkenazi Jewish populations
  • Secondary associations span externalizing behaviors (substance use, ADHD, risk-taking) from a multivariate GWAS of approximately 1.5 million people
  • All reported associations are statistical; no functional mechanism has been established for this locus

Key takeaways

  • Multiple large-scale schizophrenia GWAS studies, including the largest ever with 76,755 cases and 243,649 controls, form the primary evidence base for this variant
  • rs10148671 sits near LINC02327 and LINC02326, two non-coding RNA genes that do not produce protein, making biological interpretation challenging
  • Genetic signals in this region replicate across European, Chinese, Japanese, and Ashkenazi Jewish populations
  • Secondary associations span externalizing behaviors (substance use, ADHD, risk-taking) from a multivariate GWAS of approximately 1.5 million people
  • All reported associations are statistical; no functional mechanism has been established for this locus

What the research says rs10148671 falls near LINC02327 and LINC02326, both annotated as long intergenic non-coding RNAs (lincRNAs) - RNA molecules transcribed from the genome that do not produce protein; their regulatory roles remain poorly characterized. The primary evidence base spans a schizophrenia GWAS meta-analysis involving up to 76,755 cases and 243,649 controls that identified 287 genome-wide significant loci, alongside replication studies in Chinese (n = 36,180), Japanese, and Ashkenazi Jewish cohorts. A multivariate GWAS of externalizing traits in approximately 1.5 million people, a UK Biobank lifetime smoking GWAS (N = 394,718), and a case-case GWAS across eight psychiatric disorders (CC-GWAS) round out the evidence base.

Reported associations

  • Schizophrenia (European-led meta-analysis): The largest analysis included 76,755 cases and 243,649 controls and identified 287 genome-wide significant loci; SNP-based heritability was 0.24 (SE 0.007) in the European subsample, and polygenic risk scores explained a median of 7.3% of variance in schizophrenia liability (genome-wide significant SNPs only: 2.4%)
  • Schizophrenia (Chinese/trans-ancestry): A Chinese GWAS (n = 36,180 individuals, combined with PGC data) identified 113 genome-wide significant loci total (30 novel); approximately 95% of European-identified risk alleles were overrepresented in Chinese cases, with about 75% remaining genome-wide significant in the trans-ancestry analysis
  • Schizophrenia (Japanese population): A two-stage Japanese GWAS (discovery: 1,940 cases, 7,408 controls; replication: 4,071 cases, 54,479 controls) found a genetic correlation of rg = 0.58 between Japanese and European schizophrenia signals, indicating partial cross-ancestry overlap
  • Schizophrenia (Ashkenazi Jewish population): A combined US and Israeli Ashkenazi Jewish sample (1,505 cases, 2,145 controls) showed strong polygenic inheritance (SNP-heritability = 0.39, P = 0.00046) but did not yield independent genome-wide significant associations; the strongest AJ-specific signals were in the 22q11.2 region
  • Cross-disorder psychiatric differentiation: CC-GWAS applied to eight psychiatric disorders identified 196 case-case loci, including 72 not detected by standard case-control methods; two CC-GWAS-specific loci implicate KLF6 and KLF16, genes linked to neurite outgrowth and axon regeneration, and results replicated in independent datasets
  • Externalizing traits (substance use, ADHD, risk-taking): A multivariate GWAS of approximately 1.5 million participants identified more than 500 loci for shared externalizing liability; polygenic scores predicted opioid use disorder, suicide attempts, HIV infections, criminal convictions, and unemployment among outcomes not directly included in the GWAS
  • Lifetime smoking behavior: A UK Biobank GWAS (N = 394,718) examined smoking behavior with and without adjustment for educational attainment; SNP-based heritability was 9.2% unadjusted and 7.2% after statistically removing the educational attainment component, demonstrating that part of smoking genetics overlaps with educational propensity genetics

Evidence quality The schizophrenia evidence is among the best-powered in psychiatric genetics. The primary meta-analysis exceeded 76,000 cases and 243,000 controls, was extended with deCODE Genetics data (1,979 cases, 142,626 controls), and yielded 287 independently significant loci replicated in a two-stage design. Cross-ancestry replication in Chinese (n = 36,180) and Japanese populations (combined n exceeding 60,000) increases confidence in the broad relevance of identified signals, though the Japanese-European genetic correlation was partial (rg = 0.58), indicating some population-specific variation. The Ashkenazi Jewish cohort (approximately 3,650 individuals total) was underpowered for independent genome-wide discovery but contributes converging polygenic evidence. The externalizing GWAS draws on approximately 1.5 million individuals across 11 correlated phenotypes; because the analysis is multivariate, individual-locus contributions reflect shared liability across externalizing traits rather than disorder-specific effects. The smoking GWAS demonstrates that a non-trivial portion of smoking genetics (SNP-heritability dropping from 9.2% to 7.2%) overlaps with educational attainment genetics, complicating the interpretation of individual loci in that signal. No functional studies of rs10148671 in the LINC02327/LINC02326 region are reported in the provided evidence base, and no causal mechanism has been established at this locus.

Lifestyle considerations No lifestyle considerations on file for this variant.

Frequently asked questions

What are LINC02327 and LINC02326?

LINC02327 and LINC02326 are long intergenic non-coding RNA (lincRNA) genes. Unlike most genes, they produce RNA molecules that are not translated into protein. Their biological functions remain incompletely understood.

Is rs10148671 linked to schizophrenia?

This variant appears in the evidence base of multiple large-scale schizophrenia GWAS studies, including the largest such analysis to date with 76,755 cases and 243,649 controls. Signals have been replicated across European, East Asian, and Ashkenazi Jewish populations. All findings are statistical associations from population-level studies.

What other traits have been studied in connection with rs10148671?

The evidence base includes a multivariate GWAS of externalizing behaviors (substance use, ADHD, risk-taking) pooling approximately 1.5 million participants, a genome-wide analysis of lifetime smoking in 394,718 UK Biobank participants, and a case-case GWAS distinguishing eight psychiatric disorders from one another.

How strong is the evidence for rs10148671?

The schizophrenia evidence is well-powered, with the largest study exceeding 76,000 cases and 243,000 controls and showing cross-ancestry replication. However, no functional study of this specific variant has been reported, and no causal mechanism has been established at this locus.

Has rs10148671 been studied in different populations?

Yes. Schizophrenia studies include large cohorts of European, Chinese, and Japanese ancestry, plus an Ashkenazi Jewish founder population. Approximately 95% of European-identified risk alleles were overrepresented in Chinese schizophrenia cases, though some population-specific differences exist, as indicated by a partial Japanese-European genetic correlation of rg = 0.58.