<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>9</volume><submitter>Kaur M</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>About 5% of western populations are afflicted by autoimmune diseases many of which are affected by sex hormones. Autoimmune diseases are complex and involve many genes. Identifying these disease-associated genes contributes to development of more effective therapies. Also, association studies frequently imply genomic regions that contain disease-associated genes but fall short of pinpointing these genes. The identification of disease-associated genes has always been challenging and to date there is no universal and effective method developed.&lt;h4>Results&lt;/h4>We have developed a method to prioritize disease-associated genes for diseases affected strongly by sex hormones. Our method uses various types of information available for the genes, but no information that directly </pubmed_abstract><journal>BMC genomics</journal><pagination>481</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC2592250</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Prioritizing genes of potential relevance to diseases affected by sex hormones: an example of myasthenia gravis.</pubmed_title><pmcid>PMC2592250</pmcid><pubmed_authors>Schmeier S</pubmed_authors><pubmed_authors>MacPherson CR</pubmed_authors><pubmed_authors>Hide WA</pubmed_authors><pubmed_authors>Bajic VB</pubmed_authors><pubmed_authors>Willcox N</pubmed_authors><pubmed_authors>Kaur M</pubmed_authors><pubmed_authors>Taylor S</pubmed_authors><pubmed_authors>Hofmann O</pubmed_authors></additional><is_claimable>false</is_claimable><name>Prioritizing genes of potential relevance to diseases affected by sex hormones: an example of myasthenia gravis.</name><description>&lt;h4>Background&lt;/h4>About 5% of western populations are afflicted by autoimmune diseases many of which are affected by sex hormones. Autoimmune diseases are complex and involve many genes. Identifying these disease-associated genes contributes to development of more effective therapies. Also, association studies frequently imply genomic regions that contain disease-associated genes but fall short of pinpointing these genes. The identification of disease-associated genes has always been challenging and to date there is no universal and effective method developed.&lt;h4>Results&lt;/h4>We have developed a method to prioritize disease-associated genes for diseases affected strongly by sex hormones. Our method uses various types of information available for the genes, but no information that directly </description><dates><release>2008-01-01T00:00:00Z</release><publication>2008 Oct</publication><modification>2025-05-29T19:43:14.808Z</modification><creation>2025-05-29T19:43:14.808Z</creation></dates><accession>S-EPMC2592250</accession><cross_references><pubmed>18851734</pubmed><doi>10.1186/1471-2164-9-481</doi></cross_references></HashMap>