[\/et_pb_text][et_pb_text admin_label=”Text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans||||||||” text_text_color=”#000000″ text_font_size=”18px” text_line_height=”1.8em”]<\/p>\n
The Mullins Lab is part of the Department of Psychiatry, Department of Genetics and Genomic Sciences, and the Charles Bronfman Institute for Personalized Medicine. Our research involves large-scale genomic studies of psychiatric disorders. We use statistical and bioinformatics approaches to identify risk loci, determine relevant tissues, cell-types and pathways, prioritize causal genes and potential therapeutic targets, and develop genetic risk predictors. We work primarily on bipolar disorder and suicidality, two heritable psychiatric illnesses for which improved treatments, preventions and diagnostics are urgently needed.<\/p>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Projects Section” module_id=”projects” module_class=”projects-section” _builder_version=”4.9.0″ _module_preset=”default” background_image=”https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-content\/uploads\/sites\/465\/2023\/02\/Mullins-Banner-1.jpg” parallax=”on” parallax_method=”off”][et_pb_row _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Title text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans|300|||||||” text_text_color=”#006ac1″ text_font_size=”26px” text_line_height=”1.8em”]<\/p>\n
Current Projects<\/strong><\/p>\n [\/et_pb_text][et_pb_accordion open_toggle_text_color=”#000000″ open_toggle_background_color=”#FFFFFF” closed_toggle_text_color=”#000000″ closed_toggle_background_color=”#FFFFFF” icon_color=”#006ac1″ use_icon_font_size=”on” _builder_version=”4.9.0″ _module_preset=”default” toggle_text_color=”#000000″ toggle_font=”Open Sans|600|||||||” closed_toggle_font=”Open Sans|600|||||||” body_font=”Open Sans||||||||” body_text_color=”#000000″ body_font_size=”16px” border_radii=”on|6px|6px|6px|6px” border_width_all=”0.5px” border_color_all=”#5390c1″][et_pb_accordion_item open=”on” _builder_version=”4.9.0″ _module_preset=”default” custom_css_main_element=”display:none;”]<\/p>\n <\/p>\n <\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Genomics of bipolar disorder in the Psychiatric Genomics Consortium” _builder_version=”4.9.0″ _module_preset=”default” open=”off”]<\/p>\n We are key contributors to the <\/strong>Bipolar Disorder Working Group of the Psychiatric Genomics Consortium<\/a>. Our latest genome-wide association study (GWAS) of bipolar disorder (BD) included ~42,000 BD cases of European descent, <\/strong>and implicated 64 genomic risk loci (<\/strong>Mullins et al., Nat Genet,<\/em> 2021<\/a>). The study found enrichment of <\/strong>BD risk alleles in genes expressed in neurons and in genes encoding targets of antipsychotics, calcium channel blockers and antiepileptics. Integrating eQTL data prioritized genes linked to BD via gene expression, including druggable targets. Causal inference analysis highlighted relationships between BD, smoking, alcohol consumption and sleep disturbances. In the PGC, we are now working to increase ancestral diversity in BD GWAS via global outreach, study the spectrum of BD in the population in collaboration with 23andMe, and dissect the genetic and clinical heterogeneity of BD.<\/p>\n <\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Statistical and functional fine-mapping of genetic risk loci for psychiatric disorders” _builder_version=”4.9.0″ _module_preset=”default” open=”off”]<\/p>\n While hundreds of genetic risk loci for psychiatric disorders have been identified through GWAS, the causal variants and genes within most of these loci remain unknown. Statistical and functional fine-mapping is a rapid, scalable and cost-effective way to prioritize likely causal genes and variants that are promising candidates for experimental validation. In this project, we are developing a comprehensive statistical and functional fine-mapping pipeline optimized for psychiatric disorders, which leverages a suite of statistical and functional fine-mapping methods, and \u2018omics data from biologically relevant tissues, cell-types, and developmental timepoints. This pipeline is currently being applied to fine-map GWAS risk loci for bipolar disorder.<\/p>\n <\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Genomics of suicidality in the Psychiatric Genomics Consortium” _builder_version=”4.9.0″ _module_preset=”default” open=”off”]<\/p>\n Dr. Mullins is Co-chair of the Suicide Working Group of the Psychiatric Genomics Consortium<\/a>. As a Postdoctoral Fellow, she co-founded the International Suicide Genetics Consortium (ISGC) to conduct powerful GWAS of suicide outcomes, by combining data worldwide. The ISGC published a GWAS of ~30,000 individuals with a history of suicide attempt, versus >500,000 controls. This study identified the first replicable genome-wide significant locus for suicide attempt, and demonstrated the common variant genetic etiology of suicide attempt after conditioning on related psychiatric disorders (Mullins et al., Biol Psychiatry<\/em>, 2022<\/a>). Now, as the Suicide Working Group of the PGC, we are conducting a comprehensive interrogation of the genetic etiologies of suicide attempt, suicide, and suicidal ideation, to identify their underlying biology, modifiable risk factors, and potential therapeutic targets.<\/p>\n <\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Risk prediction of suicide outcomes in hospital populations” _builder_version=”4.9.0″ _module_preset=”default” open=”off”]<\/p>\n We are developing clinical and genetic risk predictors for suicide outcomes in hospital electronic health record (EHR)-linked biobanks. In collaboration with the Coon Lab at the University of Utah, and colleagues from the New York City Clinical Data Research Network, we are applying machine learning algorithms identify individuals at risk of suicide or suicide attempt in EHRs, including the Mount Sinai BioMe biobank. Information from physician notes and other clinical data will be combined with polygenic risk scores trained based on large-scale GWAS, to develop risk prediction models for suicide attempt or suicide, with the goal of stratifying high-risk groups of patients for intervention, treatment and prevention.<\/p>\n <\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”Delineating the network effects of mental disorder-association variants using convex optimization methods” _builder_version=”4.9.0″ _module_preset=”default” open=”off”]<\/p>\n This new multidisciplinary project is a collaboration with Dr. David Knowles\u2019s Lab<\/a> at New York Genome Center and Columbia University. Psychiatric disorders are highly comorbid, have substantial diagnostic overlap, and share clinical features and genetic etiology. In this project, new computational methods being developed by the Knowles Lab will be applied to: 1) determine the shared and distinct genetic components across neuropsychiatric disorders and their subphenotypes, via latent factor analyses applied to genome-wide association study (GWAS) results, 2) infer the gene regulatory and causal networks underlying these components by integrating \u2018omics data from brain tissues and cell-types via network causal inference analysis, and 3) uncover how common and rare genetic variants disrupt these networks using a variety of network-based approaches for modeling mutational data.<\/p>\n <\/p>\n [\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Team Section” module_id=”team” module_class=”team-section” _builder_version=”4.9.0″ _module_preset=”default”][et_pb_row _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Title text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans|300|||||||” text_text_color=”#006ac1″ text_font_size=”26px” text_line_height=”1.8em”]<\/p>\n Team<\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,2_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_image src=”https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-content\/uploads\/sites\/465\/2023\/03\/Niamh_Mullins_headshot-scaled.jpg” title_text=”Niamh_Mullins_headshot” admin_label=”Niamh Mullins, PhD” _builder_version=”4.9.0″ _module_preset=”default” border_radii=”on|6px|6px|6px|6px” border_width_all=”1px” border_color_all=”#006ac1″][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans||||||||” text_text_color=”#000000″ hover_enabled=”0″ sticky_enabled=”0″]<\/p>\n Niamh Mullins, PhD<\/strong> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,2_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_image src=”https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-content\/uploads\/sites\/465\/2023\/02\/Profile-MariaKoromina.jpg” title_text=”Profile-MariaKoromina” admin_label=”Maria Koromina, PhD” _builder_version=”4.9.0″ _module_preset=”default” border_radii=”on|6px|6px|6px|6px” border_width_all=”1px” border_color_all=”#006ac1″][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans||||||||” text_text_color=”#000000″]<\/p>\n Maria Koromina, PhD<\/strong> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,2_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_image src=”https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-content\/uploads\/sites\/465\/2023\/03\/Sarah-Colbert.jpg” title_text=”Sarah-Colbert” admin_label=”Sarah Colbert” _builder_version=”4.9.0″ _module_preset=”default” border_radii=”on|6px|6px|6px|6px” border_width_all=”1px” border_color_all=”#006ac1″][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans||||||||” text_text_color=”#000000″]<\/p>\n Sarah Colbert, BA<\/strong> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,2_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_image src=”https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-content\/uploads\/sites\/465\/2025\/07\/Brian_Fennessy_headshot_optimized_1000-300×200.jpg” title_text=”Brian_Fennessy_headshot_optimized_1000″ admin_label=”Brian Fennessy” _builder_version=”4.9.0″ _module_preset=”default” hover_enabled=”0″ border_radii=”on|6px|6px|6px|6px” border_width_all=”1px” border_color_all=”#006ac1″ sticky_enabled=”0″][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans||||||||” text_text_color=”#000000″]<\/p>\n Brian Fennessy, MSc<\/strong> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,2_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_image src=”https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-content\/uploads\/sites\/465\/2024\/05\/IMG-20211220-WA0018.jpg” title_text=”IMG-20211220-WA0018″ admin_label=”Shane O’Connell” _builder_version=”4.9.0″ _module_preset=”default” border_radii=”on|6px|6px|6px|6px” border_width_all=”1px” border_color_all=”#006ac1″][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans||||||||” text_text_color=”#000000″]<\/p>\n Shane O’Connell, PhD<\/strong> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,2_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_image src=”https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-content\/uploads\/sites\/465\/2025\/02\/LucasIto_headshot-scaled.jpeg” title_text=”LucasIto_headshot” admin_label=”Lucas Toshio Ito” _builder_version=”4.9.0″ _module_preset=”default” border_radii=”on|6px|6px|6px|6px” border_width_all=”1px” border_color_all=”#006ac1″][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans||||||||” text_text_color=”#000000″]<\/p>\n Lucas Toshio Ito, BSc<\/strong> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.9.0″ _module_preset=”default” custom_padding=”0px|||||”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Past Members title text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans|300|||||||” text_text_color=”#006ac1″ text_font_size=”26px” text_line_height=”1.8em”]<\/p>\n Past Members<\/p>\n [\/et_pb_text][et_pb_text admin_label=”Text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans||||||||” text_text_color=”#000000″ text_font_size=”18px” text_line_height=”1.8em” hover_enabled=”0″ sticky_enabled=”0″]<\/p>\n Shane Crinion, Visiting PhD Student, University of Galway<\/p>\n Renata Gonzalez Chong, Clinical Research Coordinator II<\/p>\n [\/et_pb_text][et_pb_text admin_label=”Collaborators title text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans|300|||||||” text_text_color=”#006ac1″ text_font_size=”26px” text_line_height=”1.8em”]<\/p>\n Collaborators<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans||||||||” text_text_color=”#000000″ text_font_size=”18px” text_line_height=”1.8em”]<\/p>\n Alexander Charney, MD, PhD (Icahn School of Medicine at Mount Sinai) [\/et_pb_text][et_pb_divider color=”#006ac1″ divider_position=”center” divider_weight=”0.5px” admin_label=”Divider” _builder_version=”4.9.0″ _module_preset=”default” custom_padding=”||10px|||” border_color_all=”#0C71C3″][\/et_pb_divider][et_pb_text admin_label=”Publications Title text” module_id=”publications” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans|300|||||||” text_text_color=”#006ac1″ text_font_size=”26px” text_line_height=”1.8em”]<\/p>\n Publications<\/b><\/p>\n [\/et_pb_text][et_pb_text admin_label=”Text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans||||||||” text_text_color=”#000000″ text_font_size=”18px” text_line_height=”1.8em”]<\/p>\n Complete List of Published Work in Google Scholar<\/a> and MyNCBI Bibliography<\/a>.<\/p>\n [\/et_pb_text][et_pb_divider color=”#006ac1″ divider_position=”center” divider_weight=”0.5px” admin_label=”Divider” _builder_version=”4.9.0″ _module_preset=”default” custom_padding=”||10px|||” border_color_all=”#0C71C3″][\/et_pb_divider][et_pb_text admin_label=”Funding Title text” module_id=”funding” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans|300|||||||” text_text_color=”#006ac1″ text_font_size=”26px” text_line_height=”1.8em”]<\/p>\n Funding<\/b><\/p>\n [\/et_pb_text][et_pb_text admin_label=”Active title text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans|300|||||||” text_text_color=”#006ac1″ text_font_size=”26px” text_line_height=”1.8em”]<\/p>\n Active<\/p>\n [\/et_pb_text][et_pb_text admin_label=”Text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans||||||||” text_text_color=”#000000″ text_font_size=”18px” text_line_height=”1.8em”]<\/p>\n NIMH R01MH132733, \u201cEstablishing the Suicide Working Group of the Psychiatric Genomics Consortium to elucidate the genetics and biology of suicide outcomes\u201d, PI Mullins<\/p>\n NIMH R01MH124839, \u201c3\/7 Psychiatric Genomics Consortium: Advancing Discovery and Impact\u201d, MPIs Mullins, Huckins, Andreassen and Iyegbe<\/p>\n NIMH R01MH130879, \u201cDelineating the network effects of mental disorder-associated variants using convex optimization methods\u201d, PI Knowles (New York Genome Center), Co-I \/ MSSM PI Mullins<\/p>\n NIMH R01MH123451, \u201cLatino Ancestry Genomic Psychiatry Cohort\u201d, MPI: Pato (Rutgers), Bigdeli, Fanous, and Pato, Co-I \/ MSSM PI Mullins\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0<\/span><\/p>\n NIMH R01MH123489, \u201cPredicting suicide death using EHR and polygenic risk scores\u201d, \u00a0PI Coon (University of Utah), \u00a0Co-I \/ MSSM PI Mullins<\/p>\n International OCD Foundation, \u201cDissecting the temporal and causal relationships between OCD and bipolar disorder\u201d, PI Grice, Co-I Mullins\u00a0<\/span>\u00a0<\/span><\/p>\n [\/et_pb_text][et_pb_text admin_label=”Recently completed title text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans|300|||||||” text_text_color=”#006ac1″ text_font_size=”26px” text_line_height=”1.8em”]<\/p>\n Recently Completed<\/p>\n [\/et_pb_text][et_pb_text admin_label=”Text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans||||||||” text_text_color=”#000000″ text_font_size=”18px” text_line_height=”1.8em” custom_padding=”0px|||||”]<\/p>\n Baszucki Brain Research Fund and Milken Institute Center for Strategic Philanthropy, \u201cStatistical and functional fine-mapping of bipolar disorder genetic risk loci\u201d, PI Mullins<\/p>\n NARSAD Young Investigator Award, Brain & Behavior Research Foundation, \u201cIdentifying genetic associations with suicide attempt and characterizing the genetic profiles of high-risk patients in hospital populations\u201d, PI Mullins<\/p>\n [\/et_pb_text][et_pb_divider color=”#006ac1″ divider_position=”center” divider_weight=”0.5px” admin_label=”Divider” _builder_version=”4.9.0″ _module_preset=”default” border_color_all=”#0C71C3″][\/et_pb_divider][et_pb_text admin_label=”Awards Title text” module_id=”awards” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans|300|||||||” text_text_color=”#006ac1″ text_font_size=”26px” text_line_height=”1.8em”]<\/p>\n Awards<\/b><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans||||||||” text_text_color=”#000000″ text_font_size=”18px” text_line_height=”1.8em”]<\/p>\n 2023, Early Career Investigator Oral Presentation Award, International Society of Psychiatric Genetics, \u201cNovel insights into the genetic etiology of bipolar disorder from a multi-ancestry genome-wide association study by the Psychiatric Genomics Consortium\u201d, awarded to Maria Koromina<\/p>\n \n 2023, Early Career Investigator Oral Presentation Award, International Society of Psychiatric Genetics, \u201cGenome-wide association studies of suicidal thoughts and behaviors: An update from the PGC Suicide Working Group\u201d,\u00a0 <\/span>awarded to Sarah Colbert<\/p>\n \n 2023, Somerfeld-Ziskind Research Award, Society of Biological Psychiatry, \u201cDissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors. Biol Psychiatry,<\/em> 2022\u201d, awarded to Niamh Mullins and Jay Kang<\/p>\n \n 2020, Gershon Paper of the Year Award, International Society of Psychiatric Genetics, \u201cGWAS of Suicide Attempt in Psychiatric Disorders and Association With Major Depression Polygenic Risk Scores. Am J Psychiatry<\/em>, 2019\u201d, awarded to Niamh Mullins<\/p>\n \n 2019, Early Career Investigator Oral Presentation Award, International Society of Psychiatric Genetics, \u201cInsights into the genetics of suicide attempt from the International Suicide Genetics Consortium\u201d, awarded to Niamh Mullins<\/p>\n \n [\/et_pb_text][et_pb_divider color=”#006ac1″ divider_position=”center” divider_weight=”0.5px” admin_label=”Divider” _builder_version=”4.9.0″ _module_preset=”default” border_color_all=”#0C71C3″][\/et_pb_divider][et_pb_text admin_label=”Positions Title text” _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans|300|||||||” text_text_color=”#006ac1″ text_font_size=”26px” text_line_height=”1.8em”]<\/p>\n Positions<\/strong><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_font=”Open Sans||||||||” text_text_color=”#000000″ text_font_size=”18px” text_line_height=”1.8em”]<\/p>\n Dr. Mullins is a Graduate Research Training Faculty Member of the Graduate School of Biomedical Sciences, and the Mullins Lab accepts graduate students.<\/p>\n We also have open positions for Postdoctoral Fellows or staff scientists to work on ongoing projects. Feel free to get in touch to discuss potential opportunities!<\/p>\n We provide a vibrant work environment, with access to large-scale genomic datasets, high performance scientific computing facilities, seminar series, training workshops, local, national, and international conferences, funding opportunities, and mentorship resources. The Mullins Lab is committed to fostering a culture that is welcoming and inclusive to diverse groups of individuals, and is passionate about supporting the development of team members scientifically and professionally. We offer competitive salaries and relocation assistance. The Icahn School of Medicine at Mount Sinai offers visa sponsorship, medical benefits, subsidized child care resources, and subsidized apartment rentals in Manhattan to Postdoctoral Fellows and their families.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Open Positions Section” module_id=”positions” module_class=”positions-section” _builder_version=”4.9.0″ _module_preset=”default”][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Footer Section” module_id=”research” module_class=”research-section” _builder_version=”4.9.0″ _module_preset=”default” background_color=”#000000″][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Research SummaryThe Mullins Lab is part of the Department of Psychiatry, Department of Genetics and Genomic Sciences, and the Charles Bronfman Institute for Personalized Medicine. Our research involves large-scale genomic studies of psychiatric disorders. We use statistical and bioinformatics approaches to identify risk loci, determine relevant tissues, cell-types and pathways, prioritize causal genes and potential […]<\/p>\n","protected":false},"author":274,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-67","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-json\/wp\/v2\/pages\/67","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-json\/wp\/v2\/users\/274"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-json\/wp\/v2\/comments?post=67"}],"version-history":[{"count":68,"href":"https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-json\/wp\/v2\/pages\/67\/revisions"}],"predecessor-version":[{"id":261,"href":"https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-json\/wp\/v2\/pages\/67\/revisions\/261"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-json\/wp\/v2\/media?parent=67"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-content\/uploads\/sites\/465\/2023\/03\/1.jpg\")
<\/p>\n![\"\"](\"https:\/\/labs.icahn.mssm.edu\/mullinslab\/wp-content\/uploads\/sites\/465\/2023\/03\/2.jpg\")
<\/p>\n
Associate Professor<\/em>
Principal Investigator<\/em>
niamh.mullins@mssm.edu<\/a><\/p>\n
Instructor<\/em><\/p>\n
PhD Student<\/em><\/p>\n
Bioinformatician II<\/i><\/p>\n
Postdoctoral Fellow\u00a0<\/i><\/p>\n
Visiting PhD Student\u00a0<\/i><\/p>\n
Hilary Coon, PhD (University of Utah)
Anna Docherty, LP, PhD (University of Utah)
David Knowles, PhD (New York Genome Center, Columbia University)
Towfique Raj, PhD (Icahn School of Medicine at Mount Sinai)
Douglas Ruderfer, PhD (Vanderbilt University)
Bipolar Disorder Working Group of the Psychiatric Genomics Consortium<\/a>
Suicide Working Group of the Psychiatric Genomics Consortium<\/a><\/p>\n