{"doi":"10.1002/ame2.12036","title":"Mapping novel genetic loci associated with female liver weight variations using Collaborative Cross mice","abstract":"<jats:title>Abstract</jats:title>\n                  <jats:sec>\n                    <jats:title>Background</jats:title>\n                    <jats:p>Liver weight is a complex trait, controlled by polygenic factors and differs within populations. Dissecting the genetic architecture underlying these variations will facilitate the search for key role candidate genes involved directly in the hepatomegaly process and indirectly involved in related diseases etiology.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods</jats:title>\n                    <jats:p>\n                      Liver weight of 506 mice generated from 39 different Collaborative Cross (\n                      <jats:styled-content style=\"fixed-case\">CC</jats:styled-content>\n                      ) lines with both sexes at age 20 weeks old was determined using an electronic balance. Genomic\n                      <jats:styled-content style=\"fixed-case\">DNA</jats:styled-content>\n                      of the\n                      <jats:styled-content style=\"fixed-case\">CC</jats:styled-content>\n                      lines was genotyped with high‐density single nucleotide polymorphic markers.\n                    </jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Results</jats:title>\n                    <jats:p>\n                      Statistical analysis revealed a significant (\n                      <jats:italic>P</jats:italic>\n                       &lt; 0.05) variation of liver weight between the\n                      <jats:styled-content style=\"fixed-case\">CC</jats:styled-content>\n                      lines, with broad sense heritability (\n                      <jats:italic>H</jats:italic>\n                      <jats:sup>2</jats:sup>\n                      ) of 0.32 and genetic coefficient of variation (\n                      <jats:styled-content style=\"fixed-case\">\n                        CV\n                        <jats:sub>G</jats:sub>\n                      </jats:styled-content>\n                      ) of 0.28. Subsequently, quantitative trait locus (\n                      <jats:styled-content style=\"fixed-case\">QTL</jats:styled-content>\n                      ) mapping was performed, and results showed a significant\n                      <jats:styled-content style=\"fixed-case\">QTL</jats:styled-content>\n                      only for females on chromosome 8 at genomic interval 88.61‐93.38 Mb (4.77 Mb). Three suggestive\n                      <jats:styled-content style=\"fixed-case\">QTL</jats:styled-content>\n                      were mapped at chromosomes 4, 12 and 13. The four\n                      <jats:styled-content style=\"fixed-case\">QTL</jats:styled-content>\n                      were designated as\n                      <jats:italic>\n                        <jats:styled-content style=\"fixed-case\">LWL</jats:styled-content>\n                      </jats:italic>\n                      1‐\n                      <jats:italic>\n                        <jats:styled-content style=\"fixed-case\">LWL</jats:styled-content>\n                      </jats:italic>\n                      4 referring to liver weight loci 1‐4 on chromosomes 8, 4, 12 and 13, respectively.\n                    </jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion</jats:title>\n                    <jats:p>\n                      To our knowledge, this report presents, for the first time, the utilization of the\n                      <jats:styled-content style=\"fixed-case\">CC</jats:styled-content>\n                      for mapping\n                      <jats:styled-content style=\"fixed-case\">QTL</jats:styled-content>\n                      associated with baseline liver weight in mice. Our findings demonstrate that liver weight is a complex trait controlled by multiple genetic factors that differ significantly between sexes.\n                    </jats:p>\n                  </jats:sec>","journal":"Animal Models and Experimental Medicine","year":2018,"id":592284,"datarank":0.43086726443103757,"base_score":2.302585092994046,"endowment":2.302585092994046,"self_citation_contribution":0.3453877639491069,"citation_network_contribution":0.08547950048193065,"self_endowment_contribution":0.3453877639491069,"citer_contribution":0.08547950048193065,"corpus_percentile":null,"corpus_rank":null,"citation_count":9,"citer_count":4,"citers_with_citation_signal":3,"citers_with_endowment":3,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1515599,"name":"Maya Botzman","orcid":null,"position":1,"is_corresponding":false},{"id":757008,"name":"Richard Mott","orcid":"0000-0002-1022-9330","position":2,"is_corresponding":false},{"id":36963,"name":"Irit Gat‐Viks","orcid":"0000-0002-5431-6444","position":3,"is_corresponding":false},{"id":408817,"name":"Fuad A. Iraqi","orcid":"0000-0001-5525-206X","position":4,"is_corresponding":false},{"id":1515598,"name":"Hanifa J. Abu‐Toamih Atamni","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Mapping novel genetic loci associated with female liver weight variations using Collaborative Cross mice","abstract":"<jats:title>Abstract</jats:title>\n                  <jats:sec>\n                    <jats:title>Background</jats:title>\n                    <jats:p>Liver weight is a complex trait, controlled by polygenic factors and differs within populations. Dissecting the genetic architecture underlying these variations will facilitate the search for key role candidate genes involved directly in the hepatomegaly process and indirectly involved in related diseases etiology.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods</jats:title>\n                    <jats:p>\n                      Liver weight of 506 mice generated from 39 different Collaborative Cross (\n                      <jats:styled-content style=\"fixed-case\">CC</jats:styled-content>\n                      ) lines with both sexes at age 20 weeks old was determined using an electronic balance. Genomic\n                      <jats:styled-content style=\"fixed-case\">DNA</jats:styled-content>\n                      of the\n                      <jats:styled-content style=\"fixed-case\">CC</jats:styled-content>\n                      lines was genotyped with high‐density single nucleotide polymorphic markers.\n                    </jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Results</jats:title>\n                    <jats:p>\n                      Statistical analysis revealed a significant (\n                      <jats:italic>P</jats:italic>\n                       &lt; 0.05) variation of liver weight between the\n                      <jats:styled-content style=\"fixed-case\">CC</jats:styled-content>\n                      lines, with broad sense heritability (\n                      <jats:italic>H</jats:italic>\n                      <jats:sup>2</jats:sup>\n                      ) of 0.32 and genetic coefficient of variation (\n                      <jats:styled-content style=\"fixed-case\">\n                        CV\n                        <jats:sub>G</jats:sub>\n                      </jats:styled-content>\n                      ) of 0.28. Subsequently, quantitative trait locus (\n                      <jats:styled-content style=\"fixed-case\">QTL</jats:styled-content>\n                      ) mapping was performed, and results showed a significant\n                      <jats:styled-content style=\"fixed-case\">QTL</jats:styled-content>\n                      only for females on chromosome 8 at genomic interval 88.61‐93.38 Mb (4.77 Mb). Three suggestive\n                      <jats:styled-content style=\"fixed-case\">QTL</jats:styled-content>\n                      were mapped at chromosomes 4, 12 and 13. The four\n                      <jats:styled-content style=\"fixed-case\">QTL</jats:styled-content>\n                      were designated as\n                      <jats:italic>\n                        <jats:styled-content style=\"fixed-case\">LWL</jats:styled-content>\n                      </jats:italic>\n                      1‐\n                      <jats:italic>\n                        <jats:styled-content style=\"fixed-case\">LWL</jats:styled-content>\n                      </jats:italic>\n                      4 referring to liver weight loci 1‐4 on chromosomes 8, 4, 12 and 13, respectively.\n                    </jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion</jats:title>\n                    <jats:p>\n                      To our knowledge, this report presents, for the first time, the utilization of the\n                      <jats:styled-content style=\"fixed-case\">CC</jats:styled-content>\n                      for mapping\n                      <jats:styled-content style=\"fixed-case\">QTL</jats:styled-content>\n                      associated with baseline liver weight in mice. Our findings demonstrate that liver weight is a complex trait controlled by multiple genetic factors that differ significantly between sexes.\n                    </jats:p>\n                  </jats:sec>","is_dataset_classified":null,"base_score":2.302585092994046,"endowment":2.302585092994046,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"30891567","pmcid":"PMC6388055","openalex_id":"https://openalex.org/W2898384422","authors":[],"funders":[{"funder_name":"Wellcome Trust","grant_id":"085906/Z/08/Z","title":null},{"funder_name":"Wellcome Trust","grant_id":"075491/Z/04","title":null},{"funder_name":"Wellcome Trust","grant_id":"090532/Z/09/Z","title":null},{"funder_name":"Wellcome Trust","grant_id":"075491","title":"Identification and functional analysis of susceptibility genes in multi- factorial diseases"},{"funder_name":"Wellcome Trust","grant_id":"unidentified","title":"unidentified"},{"funder_name":"Wellcome Trust","grant_id":"085906","title":"Construction of 100 recombinant inbred lines of genetically diverse mice."},{"funder_name":"Wellcome Trust","grant_id":"090532","title":"Understanding the genetic basis of common human diseases: core funding for the Wellcome Trust Centre for Human Genetics."},{"funder_name":"Tel Aviv University","grant_id":"","title":null}],"total_grants":8,"fwci":0.6408,"citation_percentile":0.73505654,"influential_citations":0,"citation_trend":[{"year":2018,"count":1},{"year":2019,"count":2},{"year":2021,"count":1},{"year":2022,"count":4},{"year":2024,"count":1}],"oa_status":"gold","license":"cc-by","oa_locations":[{"url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ame2.12036","host_type":"journal"},{"url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ame2.12036","host_type":"publisher"},{"url":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fame2.12036","host_type":"publisher"},{"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/ame2.12036","host_type":"publisher"},{"url":"https://doi.org/10.1002/ame2.12036","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/30891567","host_type":"repository"},{"url":"http://europepmc.org/pmc/articles/PMC6388055","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6388055","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC6388055","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC6388055?pdf=render","host_type":"Europe_PMC"},{"url":"http://dx.doi.org/10.1002/ame2.12036","host_type":""},{"url":"https://dx.doi.org/10.1002/ame2.12036","host_type":""}],"fields_of_study":["Genetic Mapping and Diversity in Plants and Animals","Genetic Associations and Epidemiology","Renin-Angiotensin System Studies","0301 basic medicine","0303 health sciences","03 medical and health sciences"],"mesh_terms":[],"keywords":["Quantitative trait locus","Biology","Genetic architecture","Heritability","Genetics","Locus (genetics)","Single-nucleotide polymorphism","Trait","Candidate gene","Genetic variation","Genome-wide association study","Inbred strain","Gene","Genotype","Quantitative trait locus mapping","Candidate Genes","Liver Weight","Standard Rodent Diet","Collaborative Cross Mouse Model","High Genetic Diverse Mouse Population","Original Articles"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-26T13:03:00.401118Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}