Linkage disequilibrium score regression

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Short description: Statistical genetics technique

In statistical genetics, linkage disequilibrium score regression (LDSR[1] or LDSC[2]) is a technique that aims to quantify the separate contributions of polygenic effects and various confounding factors, such as population stratification, based on summary statistics from genome-wide association studies (GWASs). The approach involves using regression analysis to examine the relationship between linkage disequilibrium scores and the test statistics of the single-nucleotide polymorphisms (SNPs) from the GWAS. Here, the "linkage disequilibrium score" for a SNP "is the sum of LD r2 measured with all other SNPs".[3]

LDSC can be used to produce SNP-based heritability estimates, to partition this heritability into separate categories, and to calculate genetic correlations between separate phenotypes. Because the LDSC approach relies only on summary statistics from an entire GWAS, it can be used efficiently even with very large sample sizes.[4] In LDSC, genetic correlations are calculated based on the deviation between chi-square statistics and what would be expected assuming the null hypothesis.[1]

Extensions

LDSC can also be applied across traits to estimate genetic correlations. This extension of LDSC, known as cross-trait LD score regression, has the advantage of not being biased if used on overlapping samples.[5][6] Another extension of LDSC, known as stratified LD score regression (abbreviated SLDSR),[7] aims to partition heritability by functional annotation by taking into account genetic linkage between markers.[8][9]

References

  1. 1.0 1.1 Levinson, Douglas F.; Noordsy, Douglas L.; Hardy, Kate V.; Ballon, Jacob S.; Shen, Hanyang; Duncan, Laramie E. (2018-10-17). "Genetic Correlation Profile of Schizophrenia Mirrors Epidemiological Results and Suggests Link Between Polygenic and Rare Variant (22q11.2) Cases of Schizophrenia" (in en). Schizophrenia Bulletin 44 (6): 1350–1361. doi:10.1093/schbul/sbx174. ISSN 0586-7614. PMID 29294133. 
  2. Ni, Guiyan; Moser, Gerhard; Wray, Naomi R.; Lee, S. Hong; Ripke, Stephan; Neale, Benjamin M.; Corvin, Aiden; Walters, James T.R. et al. (June 2018). "Estimation of Genetic Correlation via Linkage Disequilibrium Score Regression and Genomic Restricted Maximum Likelihood". The American Journal of Human Genetics 102 (6): 1185–1194. doi:10.1016/j.ajhg.2018.03.021. ISSN 0002-9297. PMID 29754766. 
  3. Neale, Benjamin M.; Price, Alkes L.; Daly, Mark J.; Patterson, Nick; Consortium, Schizophrenia Working Group of the Psychiatric Genomics; Yang, Jian; Ripke, Stephan; Finucane, Hilary K. et al. (March 2015). "LD Score regression distinguishes confounding from polygenicity in genome-wide association studies" (in en). Nature Genetics 47 (3): 291–295. doi:10.1038/ng.3211. ISSN 1546-1718. PMID 25642630. 
  4. Neale, Benjamin M.; Evans, David M.; Gaunt, Tom R.; Paternoster, Lavinia; Anttila, Verneri; Bulik-Sullivan, Brendan K.; Price, Alkes L.; Finucane, Hilary K. et al. (2017-01-15). "LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis" (in en). Bioinformatics 33 (2): 272–279. doi:10.1093/bioinformatics/btw613. ISSN 1367-4803. PMID 27663502. 
  5. Neale, Benjamin M.; Price, Alkes L.; Daly, Mark J.; Robinson, Elise B.; Patterson, Nick; Perry, John R. B.; Duncan, Laramie; Consortium 3, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control et al. (November 2015). "An atlas of genetic correlations across human diseases and traits" (in en). Nature Genetics 47 (11): 1236–1241. doi:10.1038/ng.3406. ISSN 1546-1718. PMID 26414676. 
  6. Bulik-Sullivan, B; Finucane, HK; Anttila, V; Gusev, A; Day, FR; Loh, PR; Consortium, ReproGen; Consortium, Psychiatric Genomics et al. (November 2015). "An atlas of genetic correlations across human diseases and traits" (in en). Nature Genetics 47 (11): 1236–1241. doi:10.1038/ng.3406. ISSN 1546-1718. PMID 26414676. 
  7. Nivard, Michel G.; Boomsma, Dorret I.; UK Brain Expression Consortium; Bartels, Meike; Abdellaoui, Abdel; Jansen, Rick; Ip, Hill F. (2018-09-01). "Characterizing the Relation Between Expression QTLs and Complex Traits: Exploring the Role of Tissue Specificity" (in en). Behavior Genetics 48 (5): 374–385. doi:10.1007/s10519-018-9914-2. ISSN 1573-3297. PMID 30030655. 
  8. Price, Alkes L.; Neale, Benjamin M.; Patterson, Nick; Daly, Mark J.; Raychaudhuri, Soumya; Okada, Yukinori; Perry, John R. B.; Lindstrom, Sara et al. (November 2015). "Partitioning heritability by functional annotation using genome-wide association summary statistics" (in en). Nature Genetics 47 (11): 1228–1235. doi:10.1038/ng.3404. ISSN 1546-1718. PMID 26414678. 
  9. Smoller, Jordan W.; Sabuncu, Mert R.; Neale, Benjamin M.; Chen, Chia-Yen; Ge, Tian (2017-04-07). "Phenome-wide heritability analysis of the UK Biobank" (in en). PLOS Genetics 13 (4): e1006711. doi:10.1371/journal.pgen.1006711. ISSN 1553-7404. PMID 28388634.