Neuropsychiatry study with SNP/CNV Genotypes (NGS) data on dbGaP (1,234 participants)

phs001992 — Reference Haplotypes for Complement Component 4 (C4) Gene Variation

Neuropsychiatric and autoimmune disorders have substantial epidemiological correlations (Benros et al., JAMA Psychiatry 2013, PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=23760347+%5Buid%5D">23760347</a>) and broad, genome-wide patterns of shared genetic risk (Pouget et al., Hum Mol Genet, PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=31211845+%5Buid%5D">31211845</a>; Tylee et al., Am J Med Genet B Neuropsychiatr Genet 2018, PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=30325587+%5Buid%5D">30325587</a>). Some cases of psychosis involve autoantibodies against the NMDA receptor, AMPA receptor, or other synaptic proteins (reviewed in Dalmau et al, Lancet Neurol 2011, PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=21163445+%5Buid%5D">21163445</a>). The related autoimmune conditions lupus and Sjogren's Syndrome also involve the development of autoantibodies. The possibility that neuropsychiatric disorders can have molecular mechanisms in common with autoimmune disorders - for example, that psychosis involves an inflammatory or autoimmune component in some patients, or that immune molecules are re-used in the brain to underlie other important biological activities (Stevens et al., Cell 2007, PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=18083105+%5Buid%5D">18083105</a>) - could open novel therapeutic possibilities for neuropsychiatric disorders. At a genetic level, the strongest genetic associations of schizophrenia, lupus, and Sjogren's Syndrome to common genetic variation involve associations to genetic markers in the Major Histocompatibility Complex (MHC) locus. Bipolar disorder in some studies also associates with variation in or near the MHC locus, though less strongly than schizophrenia does. Intriguingly, the same specific SNPs appear to associate strongly with schizophrenia, lupus, and Sjogren's; these strongly associating SNPs span a genomic segment that includes the HLA class II genes (which have an important role in antibody production) and the complement component 4 (C4) genes. The specific genes and alleles responsible for these associations need to be completely defined, and the extent to which they represent shared or distinct genetic influences in neuropsychiatric and autoimmune illnesses needs to be clarified. The complement component 4 (C4A and C4B) genes are present in the MHC locus, between the class I and class II HLA genes. C4A and C4B commonly vary in genomic copy number and encode complement proteins with distinct affinities for molecular targets. The complex genetic variation at C4 - arising from many alleles with different numbers of C4A and C4B genes - has been challenging to analyze in large cohorts. We recently developed an approach to this problem based on imputation: people share long haplotypes with the same combinations of SNP and C4 alleles, such that C4A and C4B gene copy numbers can be imputed from SNP data (Sekar et al., Nature 2016, PMID: <a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=26814963+%5Buid%5D">26814963</a>). In the current work, to analyze C4 in large cohorts, we developed a way to identify C4 alleles from whole-genome sequence (WGS) data, then analyzed WGS data from 1,234 individuals to create a large multi-ancestry panel of 2,530 reference haplotypes of MHC SNPs and C4 alleles that can then be imputed into still-larger cohorts for which SNP data are available. With this dbGaP submission, we make this reference panel available for other studies. Protocols and software for imputing C4 alleles into genome-wide SNP data, and for performing molecular analyses on the C4 genes (such as direct measurement of copy number from genomic DNA), can be found on the McCarroll Lab web site (<a href="http://mccarrolllab.org/resources">http://mccarrolllab.org/resources</a>). We are also working to create additional reference panels for imputation of C4 alleles that will be based on still-larger and more diverse population samples; links to these will also be available on the McCarroll Lab web site as we create and validate them.