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We develop scalable computational methods for large-scale genomic analysis, including approaches for modeling population structure, identity-by-descent, and complex ancestry patterns in diverse cohorts. A core focus is demonstrating how population structure can be leveraged to improve power, resolution, and interpretability in both common and rare disease studies and for improving inclusion of diverse populations in genomic research. We work with major biobanks, and our methods are designed for deployment in cloud-based research environments, enabling reproducible analysis across massive, privacy-preserving datasets, and we make our software freely available to the community.<\/p>\n
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[\/et_pb_text][et_pb_image src=”https:\/\/labs.icahn.mssm.edu\/eimearkennylab3\/wp-content\/uploads\/sites\/660\/2026\/05\/CRTV-9662-ISMMS_Institute_for_Genomic_Health_Diversity-1.png” title_text=”CRTV-9662-ISMMS_Institute_for_Genomic_Health_Diversity-1″ align=”center” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” admin_label=”RT1 Image” _builder_version=”4.27.4″ background_enable_image=”off” background_size=”initial” custom_margin=”-20px||-20px|” custom_padding=”|||” animation_style=”zoom” animation_direction=”left” animation_intensity_zoom=”10%” animation_starting_opacity=”100%” global_colors_info=”{}”][\/et_pb_image][et_pb_text admin_label=”RT1 Tagline” _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”40px||||false|false” global_colors_info=”{}”]<\/p>\n
[\/et_pb_text][et_pb_text admin_label=”RT1 Details” _builder_version=”4.27.4″ text_font=”||||||||” text_text_color=”#000000″ text_line_height=”22px” header_font=”||||” header_text_color=”#000000″ header_4_text_color=”#FFFFFF” header_5_text_color=”#FFFFFF” background_size=”initial” background_position=”top_left” background_repeat=”repeat” max_width=”700px” custom_padding=”2%||5%||false|false” animation_style=”slide” animation_direction=”top” animation_intensity_slide=”4%” global_colors_info=”{}”]<\/p>\n
We develop scalable computational methods for large-scale genomic analysis, including approaches for modeling population structure, identity-by-descent, and complex ancestry patterns in diverse cohorts. A core focus is demonstrating how population structure can be leveraged to improve power, resolution, and interpretability in both common and rare disease studies and for improving inclusion of diverse populations in genomic research. We work with major biobanks, and our methods are designed for deployment in cloud-based research environments, enabling reproducible analysis across massive, privacy-preserving datasets, and we make our software freely available to the community.<\/p>\n
[\/et_pb_text][et_pb_toggle title=”Federal Awards” admin_label=”RT1 Toggle1″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
[\/et_pb_toggle][et_pb_toggle title=”Affiliated Consortia, Cohorts, and Biobanks” admin_label=”RT1 Toggle2″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
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[\/et_pb_toggle][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Two Column Image and Text over Button – Section 4″ module_class=”section4_two_col_img_txt_over_btn” _builder_version=”4.27.4″ background_color=”#00AEEF” background_image=”https:\/\/labs.icahn.mssm.edu\/placeholder31\/wp-content\/uploads\/sites\/660\/2022\/12\/Background-1ALT.png” parallax=”on” width=”100%” custom_margin=”30px||||false|false” custom_padding=”80px|0px|63px|0px||” mix_blend_mode=”multiply” bottom_divider_style=”ramp2″ bottom_divider_color=”#FFFFFF” bottom_divider_height=”150px” bottom_divider_flip=”horizontal” bottom_divider_arrangement=”above_content” locked=”off” collapsed=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ disabled_on=”on|on|off” admin_label=”Row | Desktop Only | Research Theme 2″ _builder_version=”4.27.4″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”|||” custom_padding=”|||” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ background_position=”top_left” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/labs.icahn.mssm.edu\/eimearkennylab3\/wp-content\/uploads\/sites\/660\/2026\/05\/CRTV-9662-ISMMS_Institute_for_Genomic_Health_Mobile_Apps.png” title_text=”CRTV-9662-ISMMS_Institute_for_Genomic_Health_Mobile_Apps” align=”center” disabled_on=”off|off|off” admin_label=”RT2 Image” _builder_version=”4.27.4″ animation_style=”slide” animation_direction=”left” animation_intensity_slide=”10%” box_shadow_style=”preset1″ box_shadow_color=”#58595B” always_center_on_mobile=”off” global_colors_info=”{}”][\/et_pb_image][et_pb_text admin_label=”RT2 Tagline” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
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We study the genetic architecture of common diseases and translate association signals into clinically meaningful measures of risk. The lab has been a leader in evaluating polygenic risk scores across ancestrally diverse populations, developing harmonized performance metrics, ancestry-aware evaluation strategies, and clinically anchored risk thresholds. We work with federal and industry partners on prospective studies and clinical implementation.<\/p>\n
[\/et_pb_text][et_pb_toggle title=”Federal Awards” admin_label=”RT2 Toggle1″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
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[\/et_pb_text][et_pb_image src=”https:\/\/labs.icahn.mssm.edu\/eimearkennylab3\/wp-content\/uploads\/sites\/660\/2026\/05\/CRTV-9662-ISMMS_Institute_for_Genomic_Health_Mobile_Apps.png” title_text=”CRTV-9662-ISMMS_Institute_for_Genomic_Health_Mobile_Apps” align=”center” disabled_on=”off|off|off” admin_label=”RT2 Image” _builder_version=”4.27.4″ animation_style=”slide” animation_direction=”left” animation_intensity_slide=”10%” box_shadow_style=”preset1″ box_shadow_color=”#58595B” always_center_on_mobile=”off” global_colors_info=”{}”][\/et_pb_image][et_pb_text admin_label=”RT2 Tagline” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
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We study the genetic architecture of common diseases and translate association signals into clinically meaningful measures of risk. The lab has been a leader in evaluating polygenic risk scores across ancestrally diverse populations, developing harmonized performance metrics, ancestry-aware evaluation strategies, and clinically anchored risk thresholds. We work with federal and industry partners on prospective studies and clinical implementation.<\/p>\n
[\/et_pb_text][et_pb_toggle title=”Federal Awards” admin_label=”RT2 Toggle1″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
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[\/et_pb_toggle][et_pb_toggle title=”Recent Representative Publications” admin_label=”RT2 Toggle3″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
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A major emphasis of the lab is embedding genomics into routine clinical care. The lab has built end-to-end pipelines for returning monogenic and polygenic results through large health system\u2013based biobanks and evaluates their impact on patients, clinicians, and care delivery. Complementary digital tools support genomic result disclosure, phenotype-driven diagnosis, and clinical decision-making, enabling genomic medicine at scale.<\/p>\n
[\/et_pb_text][et_pb_toggle title=”Federal Awards” admin_label=”RT3 Toggle1″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
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[\/et_pb_text][et_pb_image src=”https:\/\/labs.icahn.mssm.edu\/eimearkennylab3\/wp-content\/uploads\/sites\/660\/2026\/05\/CRTV-9662-ISMMS_Institute_for_Genomic_Health_Hospital.png” title_text=”CRTV-9662-ISMMS_Institute_for_Genomic_Health_Hospital” admin_label=”RT3 Image” _builder_version=”4.27.4″ _module_preset=”default” background_color=”#FFFFFF” global_colors_info=”{}”][\/et_pb_image][et_pb_text admin_label=”RT3 Tagline” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
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A major emphasis of the lab is embedding genomics into routine clinical care. The lab has built end-to-end pipelines for returning monogenic and polygenic results through large health system\u2013based biobanks and evaluates their impact on patients, clinicians, and care delivery. Complementary digital tools support genomic result disclosure, phenotype-driven diagnosis, and clinical decision-making, enabling genomic medicine at scale.<\/p>\n
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[\/et_pb_toggle][et_pb_toggle title=”Recent Representative Publications” admin_label=”RT3 Toggle5″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
[\/et_pb_toggle][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ disabled_on=”on|on|off” admin_label=”Two Column Image with Title and Text Over Button – Section 4 (Desktop Only)” module_class=”section4_two_col_img_next_to_title_over_txt_over_btn_desktop” _builder_version=”4.27.4″ _module_preset=”default” background_color=”#00AEEF” use_background_color_gradient=”on” background_color_gradient_direction=”33deg” background_color_gradient_stops=”#00aeef 0%|#d80b8c 100%” background_color_gradient_start=”#00aeef” background_color_gradient_end=”#d80b8c” background_image=”https:\/\/labs.icahn.mssm.edu\/placeholder31\/wp-content\/uploads\/sites\/660\/2022\/10\/Background-2.png” parallax=”on” module_alignment=”center” custom_margin=”||||false|false” locked=”off” collapsed=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ admin_label=”Row | Desktop Only | RT4″ _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”||||false|false” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/labs.icahn.mssm.edu\/eimearkennylab3\/wp-content\/uploads\/sites\/660\/2026\/05\/CRTV-9662-ISMMS_Institute_for_Genomic_Health_Global_Populations.png” title_text=”CRTV-9662-ISMMS_Institute_for_Genomic_Health_Global_Populations” force_fullwidth=”on” admin_label=”RT4 Image” _builder_version=”4.27.4″ _module_preset=”default” custom_padding=”40px||||false|false” global_colors_info=”{}”][\/et_pb_image][et_pb_text admin_label=”RT4 Tagline” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
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The lab pioneers population-genetic approaches to identify founder effects and rare pathogenic variants in large biobanks linked to electronic health records. By integrating fine-scale ancestry inference, identity-by-descent mapping, and deep phenotyping, the lab uncovers underdiagnosed monogenic diseases and establishes frameworks for rare disease surveillance that advance diagnostic equity across populations.<\/p>\n
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[\/et_pb_text][et_pb_image src=”https:\/\/labs.icahn.mssm.edu\/eimearkennylab3\/wp-content\/uploads\/sites\/660\/2026\/05\/CRTV-9662-ISMMS_Institute_for_Genomic_Health_Global_Populations.png” title_text=”CRTV-9662-ISMMS_Institute_for_Genomic_Health_Global_Populations” force_fullwidth=”on” admin_label=”RT4 Image” _builder_version=”4.27.4″ _module_preset=”default” custom_padding=”40px||||false|false” global_colors_info=”{}”][\/et_pb_image][et_pb_text admin_label=”RT4 Tagline” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
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The lab pioneers population-genetic approaches to identify founder effects and rare pathogenic variants in large biobanks linked to electronic health records. By integrating fine-scale ancestry inference, identity-by-descent mapping, and deep phenotyping, the lab uncovers underdiagnosed monogenic diseases and establishes frameworks for rare disease surveillance that advance diagnostic equity across populations.<\/p>\n
[\/et_pb_text][et_pb_toggle title=”Recent Representative Publications” admin_label=”RT4 Toggle” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
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How tissues regenerate from stem cells and how different organs balance cell loss with new growth is under intensive investigation in the regenerative biology field. In the natural hair growth cycle after years of continuous hair growth, follicles enter a wave of massive progenitor death along the hair axis that \u2013 as we are just beginning to unravel \u2013 is controlled by the niche microenvironment. During this follicle regression, the Dermal Papilla niche needs to relocate from the base of growing hair bulbs to the stem cell reservoir in the upper follicle for new growth activation.<\/p>\n
[\/et_pb_text][et_pb_button button_url=”https:\/\/labs.icahn.mssm.edu\/design\/option1-research” button_text=”Find Out More” _builder_version=”4.16″ _module_preset=”default” custom_button=”on” button_text_color=”#d80b8c” button_bg_color=”#FFFFFF” button_border_radius=”0px” box_shadow_style=”preset1″ locked=”off” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ disabled_on=”on|on|off” admin_label=”Fullwidth Video over Background – Section 9″ module_class=”fullwidth-video-over-background-section-9″ _builder_version=”4.27.4″ _module_preset=”default” background_color=”#ededed” background_image=”https:\/\/labs.icahn.mssm.edu\/placeholder31\/wp-content\/uploads\/sites\/660\/2022\/10\/4.png” height_tablet=”” height_phone=”” height_last_edited=”on|desktop” max_height=”100%” custom_margin=”||4%||false|false” custom_padding=”0px||0px||false|false” locked=”off” collapsed=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ admin_label=”Row | Desktop Only | RT4″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”RT5 Title and Info” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
The Kenny Lab contributes to the development and evaluation of genomic technologies and reference resources designed to improve performance across diverse populations. This includes leadership in multi-ethnic genotyping arrays and next-generation human reference resources, ensuring that genomic tools and databases better reflect global genetic diversity and support accurate clinical interpretation.<\/p>\n
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The Kenny Lab contributes to the development and evaluation of genomic technologies and reference resources designed to improve performance across diverse populations. This includes leadership in multi-ethnic genotyping arrays and next-generation human reference resources, ensuring that genomic tools and databases better reflect global genetic diversity and support accurate clinical interpretation.<\/p>\n
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Contact Us<\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Join Our Team<\/a><\/span> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Eimear Kenny, PhD<\/strong><\/span> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]Lab Address:<\/strong><\/span> Mailing Address:<\/strong><\/span> Working at the interface of computational science, genomics, and medicine, we discover the genomic underpinnings of disease and accelerate how we use genomic information in real healthcare systems to improve prevention, diagnosis, and treatment of disease. Methods for diverse populations, Identity-By-Decent, fine-scale structure, and large-scale genomic inference.Computational & Population GenomicsWe develop scalable computational methods for […]<\/p>\n","protected":false},"author":545,"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":"","inline_featured_image":false,"footnotes":""},"class_list":["post-1349","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/eimearkennylab\/wp-json\/wp\/v2\/pages\/1349","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.icahn.mssm.edu\/eimearkennylab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.icahn.mssm.edu\/eimearkennylab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/eimearkennylab\/wp-json\/wp\/v2\/users\/545"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/eimearkennylab\/wp-json\/wp\/v2\/comments?post=1349"}],"version-history":[{"count":93,"href":"https:\/\/labs.icahn.mssm.edu\/eimearkennylab\/wp-json\/wp\/v2\/pages\/1349\/revisions"}],"predecessor-version":[{"id":4915,"href":"https:\/\/labs.icahn.mssm.edu\/eimearkennylab\/wp-json\/wp\/v2\/pages\/1349\/revisions\/4915"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/eimearkennylab\/wp-json\/wp\/v2\/media?parent=1349"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Institute for Genomic Medicine<\/a><\/span>
Center for Translational Genomics<\/a><\/span>
Division of Genomic Medicine<\/a><\/span>
Genomic Health Initiative<\/a><\/span><\/p>\n
Email: eimear.kenny@mssm.edu<\/span>
Scheduling: ighadmin@mssm.edu<\/span><\/p>\n
\n3 East 101st<\/sup>\u00a0St., Floor 6<\/span>
\nNew York, NY 10029<\/span><\/p>\n
\nOne Gustave L. Levy Pl., Box 1041<\/span>
\nNew York, NY 10029<\/span>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"